MLML RDC Moss Landing Marine Laboratories Regional Data Center

Size: px
Start display at page:

Download "MLML RDC Moss Landing Marine Laboratories Regional Data Center"

Transcription

1 MLML RDC Moss Landing Marine Laboratories Regional Data Center Project Registration Template Documentation Updated July 15, 2014

2 Table of Contents INTRODUCTION...5 MLML RDC PROJECT TEMPLATE...5 PROJECT SUBMISSION STEPS...6 MLML RDC PROJECT TABLES...7 PR OJECT TEMPLATE TABLES...8 AGENCY TAB LE STATIONS TABLE...10 P ROGRAM TABLE...16 PARENT PROJECT TABLE...17 PROJECT TAB LE QAPP TABLE...22 SAMPLING PROTOCOL TABLE...23 COLLECTIONDEVICE_FIELDRESLOOKUP TABLE...25 MLML RDC Project Registration Template Documentation revised 7/15/14 2 of 25

3 List of Acronyms CEDEN California Environmental Data Exchange Network MLML RDC SWAMP Moss Landing Marine Laboratory Regional Data Center Surface Water Ambient Monitoring Program MLML RDC Project Registration Template Documentation revised 7/15/14 3 of 25

4 List of Terms Controlled Vocabulary Data Checker Lists Primary Key Data Type Controlled vocabulary refers to codes and associated definitions maintained within the MLML RDC to ensure comparability between and among data sets. Current controlled vocabulary can be found at: Web-based automated tool that assists data submitters in examining their data sets against the required lists, formats and business rules. Controlled vocabularies are maintained within the MLML RDC database as ' Lists' and are managed by the MLML RDC to maintain comparability between RDCs and throughout data sets available through CEDEN. Contact the MLML RDC to add new codes to lists. Uniquely identifies each row in a table and is comprised of a set of columns. No two distinct rows in a table can have the same combination of column values. Required for record uniqueness. Refers to the type of format required for a specific column heading in templates. Data type examples include: integer (whole numbers), text, date and time, and decimal. MLML RDC Project Registration Template Documentation revised 7/15/14 4 of 25

5 Introduction This document is designed to provide guidance on reporting requirements for electronic data to be entered in the Moss Landing Marine Laboratories Regional Data Center (MLML RDC). Detailed below are definitions of data elements within the MLML RDC Project Registration template. Please review the entire Project Registration Guidance Document prior to filling out or submitting the MLML RDC Project Registration template. If you have any questions regarding these guidelines, contact the MLML RDC Help Desk for assistance. MLML RDC Project Registration Template The project registration template has been developed to aid data generators with new projects to compile the information needed to initially create project specific codes including Agency, Station, Collection Device, QAPP, Sampling Protocol, Program and Project. The Project code is used to reference all of a user's data and allows users to link various data types from within the MLML RDC database. The information supplied in the template is used by the MLML RDC to create new codes in the database that are essential for data comparability and will allow the user to add associated data to the MLML RDC database. It is helpful to provide this needed information at the start of the project for data entry. Once the information is compiled, contact the MLML RDC Help Desk to have the individual codes created. The MLML RDC will contact you once your information has been reviewed to discuss and/or provide you with your specific programmatic codes. MLML RDC Project Registration Template Documentation revised 7/15/14 5 of 25

6 Project Registration Submission Steps To submit project registration information to the MLML RDC, start with the Project Registration Template. In this template you will find the eight data tables (each in a separate worksheet) required for submitting project registration data. This file can be named at the discretion of the user; however, the Excel sheet tabs MUST be named Agency, Stations, Program, ParentProject, Project, QAPP, SamplingProtocol and CollectionDevice_FieldRes respectively. MLML RDC Project Registration Template Documentation revised 7/15/14 6 of 25

7 MLML RDC Project Registration Tables Below describes what is included and submission requirements for each of the eight tables in the MLML RDC Project Registration Template: 1. Agency a. Holds information about the sampling agency b. Required only for new agencies that are not currently in the database 2. Stations a. Holds information about sample site and GIS information b. Required only for new stations that are not currently in the database 3. Program a. Holds information about the program b. Required only for new programs that are not currently in the database 4. ParentProject a. Holds information about the parent project b. Required only for new parent projects that are not currently in the database 5. Project a. Holds information about the project b. Required only for new projects that are not currently in the database 6. QAPP a. Holds information about the QAPP b. Required only for new QAPPs that are not currently in the database 7. SamplingProtocol a. Holds information about the sampling protocol b. Required only for new sampling protocols that are not currently in the database 8. CollectionDevice_FieldRes a. Holds information about the collection device and associated analytes b. Required only for new collection devices that are not currently in the database The guidelines in the following sections will assist you in getting your data into the MLML RDC Project Registration tables. Once you have completed the template, visit the CalDUCS website to check and submit your data using the online data checker. The online data submission process includes specific checks on your data to ensure both data integrity and comparability with other data sets. Once the information is compiled, contact the MLML RDC Help Desk to have the individual codes created or for any specific data questions. The MLML RDC will contact you once your information has been reviewed to discuss and/or provide you with your specific programmatic codes. MLML RDC Project Registration Template Documentation revised 7/15/14 7 of 25

8 Project Registration Template Data Tables Agency Table PURPOSE: The agency table contains information about the agency. It is important to fill out as much information as possible. This table is only required for new stations not within the database and can be submitted prior to collecting any field data. Utilize the Agency list within MLML RDC's Controlled Vocabulary to view all current agencies within the MLML RDC. Please see the above section for data submission steps. COLUMN REQUIREMENTS: Columns within the MLML RDC Project Registration Template tables are either considered 1) required, 2) desired or 3) not required. Required columns must be filled out in order for data to be accepted by the MLML RDC. Desired columns are strongly encouraged and should be filled in whenever possible. Not required columns include additional information that aid in data usability. Individual column requirements are listed below: Required Columns: Desired Columns: AgencyCode AgencyName None on this worksheet Not Required Columns: AgencyDescr Agency Comments AgencyType1 AgencyType2 AgencyType3 PrimaryContact StreetAddress City State Zip Telephone Fax WebAddress MLML RDC Project Registration Template Documentation revised 7/15/14 8 of 25

9 AGENCY TABLE STRUCTURE: * Primary Key, required for record uniqueness. PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION AgencyCode* Text Yes 20 Agency Unique code referencing the Agency AgencyName* Text Yes 255 Agency Name of the Agency AgencyDescr Text No 255 Description of the Agency Active Boolean No 1 Utility column used to limit list values in forms and queries AgencyComments Text No 255 Comments related to the Agency AgencyType1 Text No 50 Used in queries and forms to limit output to a subset of results AgencyType2 Text No 50 Used in queries and forms to limit output to a subset of results Used in queries and forms to AgencyType3 Text No 50 limit output to a subset of results Primary contact person for the PrimaryContact Text No 50 Agency StreetAddress Text No 50 Street address of the Agency Full name of the nearest town, city, or community where the Agency is located City Text No 255 State where the Agency is located; from State Text No 2 VariableCodes Zip Text No 10 Zip Code of the Agency Text No 50 address of the Agency Primary Contact Telephone Text No 25 Telephone number of the Agency Primary Contact Fax Text No 25 Fax number of the Agency Primary Contact WebAddress Text No 75 Web site of the Agency MLML RDC Project Registration Template Documentation revised 7/15/14 9 of 25

10 Stations Table PURPOSE: The stations table contains information about the station/sample site and GIS information. It is important to fill out as much information as possible. This table is only required for new stations not within the database and can be submitted prior to collecting any field data. Utilize the Station list within MLML RDC's Controlled Vocabulary to view all current stations within the MLML RDC. Please see the above section for data submission steps. COLUMN REQUIREMENTS: Columns within the MLML RDC Project Registration Template tables are either considered 1) required, 2) desired or 3) not required. Required columns must be filled out in order for data to be accepted by the MLML RDC. Desired columns are strongly encouraged and should be filled in whenever possible. Not required columns include additional information that aid in data usability. Individual column requirements are listed below: Required Columns: Desired Columns: StationSource StationCode StationName StationAgency CoordinateNumber TargetLatitude TargetLongitude SWRCBWatTypeCode Datum CoordinateSource LocalWaterbody State MLML RDC Project Registration Template Documentation revised 7/15/14 10 of 25

11 Not Required Columns: StationDescr CalWater_2004_HUNAME StationComments GageStationID EventType1 UpstreamArea EventType2 HBASA2_1995_NHCODE EventType3 NHD_24k_v2_GNIS_Name GeometryShape NHD_24k_v2_ReachCode DirectionsToStation NHD_24k_v2_HUC_12 AddDate NHD_24k_v2_Hu_12_Name Elevation NHD_100k_GNIS_Name UnitElevation NHD_100k_ReachCode StationDetailVerBy NHD_Plus_CatchmentComID StationDetailVerDate Ecoregion_1987_Level3* StationDetailComments IBI_NorthCoast_2005_WithinPolygon* LocalWaterShed IBI_SoCal_2005_WithinPolygon* Counties_2004_COUNTY StationGISVerBy CalWater_2004_RB StationGISVerDate CalWater_2004_CALWNUM StationGISVerComments * Not required unless station has accompanying bioassessment data. ADDITIONAL RESOURCES: When populating the stations table one can utilize additional resources provided by the Surface Water Ambient Monitoring Program (SWAMP). SWAMP has compiled and summarized many fields that are desired to fully describe the location of your station on the following website: The SWAMP website has compiled GIS layers for CalWater, Counties, Ecoregion, IBI, HBASA and NHD. If one does not have access to GIS mapping software SWAMP has provided maps for data providers to visually map their stations for the IBI and Ecoregion layers. Contact your Regional Data Center if you have any questions regarding information found on this website. MLML RDC Project Registration Template Documentation revised 7/15/14 11 of 25

12 STATIONS TABLE STRUCTURE: * Primary Key, required for record uniqueness. ^ Not required unless station has accompanying bioassessment data. PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION StationSource Text Yes 50 Agency or Project Agency or project that submitted the station. StationCode* Text Yes 25 StationName* Text Yes 100 Station Station A code representing the StationName and site and should be unique within a study design. Represents a unique sampling site in a sampling design. A single waterbody may have multiple stations. Station name must be unique for all stations. StationDescr Text No 255 Description of the StationCode. StationAgency Text Yes 20 StationComments Text No 255 EventType1 Text No 20 EventType2 Text No 20 EventType3 Text No 20 GeometryShape Text No 50 Agency Event Event Event Variable Code Represents the agency that created the station and is responsible for any updates or modifications to the station. Only the agency listed here can modify the information for this station. Default value equals Not Recorded if unknown. Any pertinent comments regarding the station and/or station area. Represents what type of sampling events will or have occurred at a station, i.e. water quality, tissue or bioassessment sampling. Represents what type of sampling events will or have occurred at a station, i.e. water quality, tissue or bioassessment sampling. Represents what type of sampling events will or have occurred at a station, i.e. water quality, tissue or bioassessment sampling. Physical shape of the Station. Example values are Line, Point, or Polygon. MLML RDC Project Registration Template Documentation revised 7/15/14 12 of 25

13 PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION DirectionsToStation Text No 255 A general description of how to get to the station using streets, landmarks, etc. AddDate Date/ Time No Date the StationCode was added. Format as dd/mmm/yyyy CoordinateNumber Integer Yes Number of the coordinate recorded at a Station; e.g. 1 for Points (target and actual coordinates), 1 and 2 for Lines. Default value equals 1 if unknown. TargetLatitude TargetLongitude Decimal Yes Decimal Yes Represents the targeted latitude for the sample site in decimal degrees with 5 decimal places. Represents the targeted longitude for the sample site in decimal degrees with 5 decimal places (must be negative). Datum Text Desired 10 CoordinateSource Text Desired 50 Variable Code Variable Code Represents the associated model of the Earth from which reference points are used to calculate position measurements. GPS Devices commonly use Datums such as NAD83 and WGS84. Default value equals NR if unknown Describes how the coordinate was measured. For example, if measurement was taken from a map or GPS. Default value equals NR if unknown Elevation Decimal No Elevation at which the sample was taken. UnitElevation Text No 2 StationDetailVerBy Text No 100 Variable Codes Unit of the Elevation measurement. Agency or person who performed the verification of the station detail information. StationDetailVerDate Date/ Time No Date the station detail information was verified. StationDetailComments Text No 255 Comments related to the station detail information. MLML RDC Project Registration Template Documentation revised 7/15/14 13 of 25

14 PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION LocalWatershed Text No 50 LocalWaterbody Text Desired 50 State Text Desired 2 Counties_2004_County Text No 50 SWRCBWatTypeCode Text Yes 10 CalWater_2004_RB Integer No 1 CalWater_2004_CALWNUM Text No 12 CalWater_2004_HUNAME Text No 35 GageStationID Text No 50 Variable Codes WBType Local watershed of the station as supplied by data user. Local waterbody of the station as supplied by data user. State in which the station was surveyed. Default = CA County in which the station was surveyed. Unique code assigned by the state for the appropriate waterbody type. Default value equals NR if unknown Regional Board ID Number from the CalWater GIS layer. This layer can be retrieved from: oad.php/676/calw221_e00.zip Watershed ID Number from the CalWater GIS layer. Hydrologic Unit Name from the CalWater GIS layer. Identifier for USGS Gage station located at the Station location. UpstreamArea Decimal No Area (measured in km2) upstream that drains to the sampling point. HBASA2_1995_NHCODE Text No 6 NHD_24k_v2_GNIS_Name Text No 65 NHD_24k_v2_ReachCode Text No 14 NHDCODE from Teale HBASA watershed GIS layer. This layer can be retrieved from: oad.php/389/hbasa2-1997_shp.zip Official federal Geographic Names Information System (GNIS) name of stream from the NHD high-resolution GIS layer. This layer can be retrieved from: 14-digit ReachCode ID Number for streams from NHD high-resolution GIS layer. MLML RDC Project Registration Template Documentation revised 7/15/14 14 of 25

15 PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION NHD_24k_v2_HUC_12 Text No 12 NHD_24k_v2_Hu_12_Name Text No 120 NHD_100k_GNIS_Name Text No 120 NHD_100k_ReachCode Text No 14 NHD_Plus_CatchmentComID Text No 50 Ecoregion_1987_Level3 Text No^ 5 12-digit Hydrologic Unit ID for NHD watershed polygon (WBD) from NHD high-resolution GIS layer. Name of 12-digit Hydrologic Unit for NHD watershed polygon (WBD) from NHD high-resolution GIS layer. Official federal Geographic Names Information System (GNIS) name of stream from the NHD mediumresolution GIS layer. This layer can be retrieved from: 14-digit ReachCode ID Number for streams from NHD mediumresolution GIS layer. Represents the common identifier of an NHD Flowline for the catchment polygon. EPA Ecoregion Level III name (US_L3NAME). This layer can be retrieved from: ftp://ftp.epa.gov/wed/ecoregions/ca/ IBI_NorthCoast_ 2005_WithinPolygon IBI_SoCal_ 2005_WithinPolygon TRUE/ FALSE No^ TRUE/ FALSE No^ True if the Station is located within the IBI North Coast 2005 polygon. False if otherwise. True if the Station is located within the IBI Southern California 2005 polygon. False if otherwise. StationGISVerBy Text No 100 Agency or person who performed the verification of the GIS station information. StationGISVerDate Date/ Time No Date the GIS station information was verified. StationGISVerComments Text No 255 Comments related to the GIS station information verification. MLML RDC Project Registration Template Documentation revised 7/15/14 15 of 25

16 Program Table PURPOSE: The program table contains information about the program. It is important to fill out as much information as possible. This table is only required for new programs not within the database and can be submitted prior to collecting any field data. Utilize the Program list within MLML RDC's Controlled Vocabulary to view all current stations within the MLML RDC. Please see the above section for data submission steps. COLUMN REQUIREMENTS: Columns within the MLML RDC Project Registration Template tables are either considered 1) required, 2) desired or 3) not required. Required columns must be filled out in order for data to be accepted by the MLML RDC. Desired columns are strongly encouraged and should be filled in whenever possible. Not required columns include additional information that aid in data usability. Individual column requirements are listed below: Required Columns: Desired Columns: ProgramCode ProgramName None on this worksheet Not Required Columns: ProgramDescr ProgramWebAddress ProgramComments PROGRAM TABLE STRUCTURE: * Primary Key, required for record uniqueness. PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION ProgramCode* Text Yes 50 Program Unique code referencing the Program ProgramName* Text Yes 50 Program Name of the Program ProgramDescr Text No 255 Description of the Program ProgramWebAddress Text No 75 Web site of the Program; e.g. Link to RMP, Bight03 web sites ProgramComments Text No 255 Comments related to the Program MLML RDC Project Registration Template Documentation revised 7/15/14 16 of 25

17 Parent Project Table PURPOSE: The parent project table contains information about the parent project. It is important to fill out as much information as possible. This table is only required for new parent projects not within the database and can be submitted prior to collecting any field data. Utilize the ParentProject list within MLML RDC's Controlled Vocabulary to view all current stations within the MLML RDC. Please see the above section for data submission steps. COLUMN REQUIREMENTS: Columns within the MLML RDC Project Registration Template tables are either considered 1) required, 2) desired or 3) not required. Required columns must be filled out in order for data to be accepted by the MLML RDC. Desired columns are strongly encouraged and should be filled in whenever possible. Not required columns include additional information that aid in data usability. Individual column requirements are listed below: Required Columns: Desired Columns: ProgramCode ParentProjectCode ParentProjectName AgencyCode None on this worksheet Not Required Columns: ParentProjectDescr ParentProjectSummary RWQCBCoverage StartDate ParentProjectWebAddress ParentProjectManager ParentProjectComments MLML RDC Project Registration Template Documentation revised 7/15/14 17 of 25

18 PARENT PROJECT TABLE STRUCTURE: * Primary Key, required for record uniqueness. PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION ProgramCode Text Yes 50 Program Foreign key reference to Program table ParentProjectCode* Text Yes 50 ParentProject Unique code referencing the ParentProject ParentProjectName* Text Yes 50 ParentProject Name of the ParentProject ParentProjectDescr Text No 255 Description of the ParentProject ParentProjectSummary Text No 255 A brief summary of the ParentProject, for display on the web RWQCBCoverage Text No 10 Identification of the SWRCB regional area(s) where sampling occurs for ParentProject; e.g. RWB4 or RWB8 or Statewide StartDate Date No 8 Date the ParentProject started ParentProjectWebAddress Text No 75 Web site of the ParentProject ParentProjectManager Text No 100 Manager of the ParentProject AgencyCode Text Yes 20 Agency associated with the ParentProject Manager; Foreign key reference to Agency table Comments related to the ParentProjectComments Text No 255 ParentProject MLML RDC Project Registration Template Documentation revised 7/15/14 18 of 25

19 Project Table PURPOSE: The project table contains information about the project. It is important to fill out as much information as possible. This table is only required for new projects not within the database and can be submitted prior to collecting any field data. Utilize the Project list within MLML RDC's Controlled Vocabulary to view all current stations within the MLML RDC. Please see the above section for data submission steps. COLUMN REQUIREMENTS: Columns within the MLML RDC Project Registration Template tables are either considered 1) required, 2) desired or 3) not required. Required columns must be filled out in order for data to be accepted by the MLML RDC. Desired columns are strongly encouraged and should be filled in whenever possible. Not required columns include additional information that aid in data usability. Individual column requirements are listed below: Required Columns: Desired Columns: ParentProjectCode ProjectCode ProjectName AgencyCode None on this worksheet Not Required Columns: ProjectDescr ProjectType1 ProjectType2 ProjectType3 ProjectCategory QAPPName StartDate Duration Purpose ProjectManager ProjectLead Telephone Address1 Address2 City State Zip LeadAgencyWebAddress DQOlevel ExternalFileName ProjectComments Finalized PublicRelease MLML RDC Project Registration Template Documentation revised 7/15/14 19 of 25

20 PROJECT TABLE STRUCTURE: * Primary Key, required for record uniqueness. PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION ParentProjectCode Text Yes 50 ParentProject Foreign key reference to ParentProject table Project Unique code referencing the ProjectCode* Text Yes 25 project ProjectName* Text Yes 50 Project Name of the Project ProjectDescr Text No 255 Description of the Project ProjectType1 Text No 20 Used in queries and forms to limit output to a subset of results ProjectType2 Text No 20 Used in queries and forms to limit output to a subset of results ProjectType3 Text No 20 Used in queries and forms to limit output to a subset of results ProjectCategory Text No 50 Category of Project; e.g. Ambient Monitoring, Bioassessment or Bioaccumulation QAPPName Text Yes 100 Name of the QAPP StartDate Date No 8 Date the Project was started Duration Text No 150 Duration of the Project Purpose Text No 255 Purpose of the Project ProjectManager Text No 100 Manager of the Project ProjectLead Text No 100 Lead person of the Project Telephone Text No 20 Phone number of the Project Lead address of the Project Text No 150 Lead Address1 Text No 255 Address of the Project Lead Address2 Text No 255 Address of the Project Lead City Text No 255 Full name of the nearest town, city, or community of the Project Lead State of the Project Lead; State Text No 2 from VariableCodes Zip Text No 10 Zip Code of the Project Lead LeadAgencyWebAddress Text No 255 Web site of the Lead Agency Agency associated with the ProjectLead; Foreign key reference to Agency AgencyCode Text No 20 table MLML RDC Project Registration Template Documentation revised 7/15/14 20 of 25

21 PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION DQOlevel Text No 255 Tiered usage level that project Data Quality Objectives fall under ExternalFileName Text No 255 Name of the External File associated with the project Comments related to the ProjectComments Text No 255 Project Finalized Boolean No 1 Used to indicate that a Project is finalized PublicRelease Boolean No 1 Used to restrict data from being migrated to the web; e.g. a "no" value signifies that data is not to be presented on the web MLML RDC Project Registration Template Documentation revised 7/15/14 21 of 25

22 QAPP Table PURPOSE: The QAPP table contains information about the QAPP. It is important to fill out as much information as possible. This table is only required for new QAPPs not within the database and can be submitted prior to collecting any field data. Utilize the QAPP list within MLML RDC's Controlled Vocabulary to view all current stations within the MLML RDC. Please see the above section for data submission steps. COLUMN REQUIREMENTS: Columns within the MLML RDC Project Registration Template tables are either considered 1) required, 2) desired or 3) not required. Required columns must be filled out in order for data to be accepted by the MLML RDC. Desired columns are strongly encouraged and should be filled in whenever possible. Not required columns include additional information that aid in data usability. Individual column requirements are listed below: Required Columns: Desired Columns: QAPPName None on this worksheet Not Required Columns: QAPPDescr QAPPComments QAPP TABLE STRUCTURE: * Primary Key, required for record uniqueness. PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION QAPPName* Text Yes 100 QAPP Name of the QAPP QAPPDescr Text No 255 Description of the QAPP QAPPComments Text No 255 Comments related to the QAPP MLML RDC Project Registration Template Documentation revised 7/15/14 22 of 25

23 Sampling Protocol Table PURPOSE: The sampling protocol table contains information about the sampling protocol. It is important to fill out as much information as possible. This table is only required for new sampling protocols not within the database and can be submitted prior to collecting any field data. Utilize the Protocol list within MLML RDC's Controlled Vocabulary to view all current stations within the MLML RDC. Please see the above section for data submission steps. COLUMN REQUIREMENTS: Columns within the MLML RDC Project Registration Template tables are either considered 1) required, 2) desired or 3) not required. Required columns must be filled out in order for data to be accepted by the MLML RDC. Desired columns are strongly encouraged and should be filled in whenever possible. Not required columns include additional information that aid in data usability. Individual column requirements are listed below: Required Columns: Desired Columns: ProtocolCode ProtocolName None on this worksheet Not Required Columns: ProtocolDescr ProtocolType1 ProtocolType2 ProtocolType3 SAMPLING PROTOCOL TABLE STRUCTURE: * Primary Key, required for record uniqueness. PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION ProtocolCode* Text Yes 20 Protocol Unique code referencing the Protocol which is a set of methods, methodology and/or specifications used ProtocolName* Text Yes 50 Protocol Name of the Protocol ProtocolDescr Text No 255 Description of the Protocol ProtocolType1 Text No 25 Used in queries and forms to limit output to a subset of results MLML RDC Project Registration Template Documentation revised 7/15/14 23 of 25

24 PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION ProtocolType2 Text No 25 Used in queries and forms to limit output to a subset of results ProtocolType3 Text No 25 Used in queries and forms to limit output to a subset of results MLML RDC Project Registration Template Documentation revised 7/15/14 24 of 25

25 CollectionDevice_FieldRes Table PURPOSE: The CollectionDevice_FieldRes table contains information about the collection device and associated analytes. It is important to fill out as much information as possible. This table is only required for new collection devices not within the database and can be submitted prior to collecting any field data. Utilize the CollectionDevice list and FieldResEquip list within MLML RDC's Controlled Vocabulary to view all current stations within the MLML RDC. Please see the above section for data submission steps. COLUMN REQUIREMENTS: Columns within the MLML RDC Project Registration Template tables are either considered 1) required, 2) desired or 3) not required. Required columns must be filled out in order for data to be accepted by the MLML RDC. Desired columns are strongly encouraged and should be filled in whenever possible. Not required columns include additional information that aid in data usability. Individual column requirements are listed below: Required Columns: Desired Columns: CollectionDeviceName AnalyteName Not Required Columns: CollectionDeviceDescr SerialNumber CollectionDeviceComments COLLECTIONDEVICE_FIELDRESLOOKUP TABLE STRUCTURE: * Primary Key, required for record uniqueness. PROJECT TEMPLATE HEADER TYPE REQUIRED SIZE LOOKUP LIST DEFINITION CollectionDeviceName* Text Yes 50 CollectionDevice Unique name of the CollectionDevice CollectionDeviceDescr Text No 255 Generic description of the Collecti on Device used for web display SerialNumber Text No 30 Serial number of the CollectionDevice CollectionDeviceComments Text No 255 Comments related to the CollectionDevice AnalyteName Text Desired 255 Analyte Foreign key reference to Analyte table MLML RDC Project Registration Template Documentation revised 7/15/14 25 of 25

CEDEN. California Environmental Data Exchange Network

CEDEN. California Environmental Data Exchange Network CEDEN California Environmental Data Exchange Network Field Data Submission Guidance Document Updated August 9th, 2012 Table of Contents INTRODUCTION...1 FIELD SUBMISSION STEPS...1 CEDEN FIELD TEMPLATE

More information

CEDEN. California Environmental Data Exchange Network

CEDEN. California Environmental Data Exchange Network CEDEN California Environmental Data Exchange Network Chemistry Data Submission Guidance Document Updated August 10th, 2012 Table of Contents INTRODUCTION...1 CHEMISTRY DATA SUBMISSION STEPS...1 CEDEN CHEMISTRY

More information

SWAMP DATA MANAGEMENT PLAN

SWAMP DATA MANAGEMENT PLAN SWAMP DATA MANAGEMENT PLAN Station Template Surface Water Ambient Monitoring Program August 27, 2013 TABLE OF CONTENTS C. Data Entry...3 D. Field Data Entry...3 1. PROGRAMS NEEDED FOR SWAMP DATA ENTRY

More information

Central Valley Regional Data Center

Central Valley Regional Data Center Central Valley Regional Data Center CEDEN July 13, 2015 www.mlj-llc.com TABLE OF CONTENTS i. Introduction... 4 1. Water and Sediment Quality (Chemistry and Bacteria) Data... 6 1.1 Chemistry Results Worksheet...

More information

CEDEN. California Environmental Data Exchange Network

CEDEN. California Environmental Data Exchange Network CEDEN California Environmental Data Exchange Network General Information Updated January 9, 2012 1 TABLE OF CONTENTS CEDEN S MISSION STATEMENT... 4 CEDEN S GOALS... 4 DATA IN CEDEN... 5 HOW DOES CEDEN

More information

WEST VIRGINIA SCHOOLS Updating the Geographic Names Information System

WEST VIRGINIA SCHOOLS Updating the Geographic Names Information System WEST VIRGINIA SCHOOLS Updating the Geographic Names Information System By: Laura Cathers West Virginia GIS Technical Center West Virginia University April 2005 Purpose The Geographic Names Information

More information

CEDEN March 16, 2015 Workshop Questions

CEDEN March 16, 2015 Workshop Questions CEDEN March 16, 2015 Workshop Questions # Organization Contact Question Response A1 City of Los Angeles Sanitation, Los Angeles County Sanitation Districts, Orange County Sanitation District, and City

More information

Data In and Data Out: Status on the SWAMP Database and Tools Being Developed for Biological Data

Data In and Data Out: Status on the SWAMP Database and Tools Being Developed for Biological Data California s Surface Water Ambient Monitoring Program Data In and Data Out: Status on the SWAMP Database and Tools Being Developed for Biological Data (Nov 16, 2010) Marco Sigala SWAMP Data Management

More information

Data Consolidation in California - CEDEN

Data Consolidation in California - CEDEN Steven J. Steinberg, Ph.D., GISP CEDEN Program Manager Principal Scientist: Information Management & Analysis Southern California Coastal Water Research Project Costa Mesa, CA 92626-1437 714-755-3260 steves@sccwrp.org

More information

SWAMP DATA MANAGEMENT PLAN

SWAMP DATA MANAGEMENT PLAN SWAMP DATA MANAGEMENT PLAN Tissue Template Surface Water Ambient Monitoring Program June 23, 2009 TABLE OF CONTENTS A. Analytical Data...3 1. ANALYSIS AUTHORIZATION FORMS...3 2. TISSUE DATA...3 a. Tissue

More information

Central Valley Regional Data Center

Central Valley Regional Data Center Central Valley Regional Data Center CV RDC Chemistry Transformer Protocol The chemistry transformer enables a user to automatically populate the same information multiple times using an excel macro. March

More information

APPENDIX D. Framework Recommendations for a Statewide ASBS Information Management System

APPENDIX D. Framework Recommendations for a Statewide ASBS Information Management System APPENDIX D Framework Recommendations for a Statewide ASBS Information Management System Framework Recommendations for a Statewide ASBS Information Management System Lisa Hazard, Jennifer Bowen, Eric Terrill

More information

Web-Based Spatial Data Infrastructure (SDI) to Implement and Monitor Nonpoint Source (NPS) Pollution Management in the Imperial Valley, California

Web-Based Spatial Data Infrastructure (SDI) to Implement and Monitor Nonpoint Source (NPS) Pollution Management in the Imperial Valley, California Web-Based Spatial Data Infrastructure (SDI) to Implement and Monitor Nonpoint Source (NPS) Pollution Management in the Imperial Valley, California University of Redlands The Redlands Institute Serene Ong

More information

Introduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May 2004. Content. What is GIS?

Introduction to GIS (Basics, Data, Analysis) & Case Studies. 13 th May 2004. Content. What is GIS? Introduction to GIS (Basics, Data, Analysis) & Case Studies 13 th May 2004 Content Introduction to GIS Data concepts Data input Analysis Applications selected examples What is GIS? Geographic Information

More information

CDA Information Technology: Fiber To the Home

CDA Information Technology: Fiber To the Home C O E U R D A L E N E T R I B E I N F O R M A T I O N T E C H N O L O GY GIS Program Spring 2014 Volume 1, Issue 1 GIS Program plans for new imagery of Reservation Inside this issue: Fiber to Home 2 WWP

More information

Stream-Network Navigation in the U.S. Geological Survey StreamStats Web Application

Stream-Network Navigation in the U.S. Geological Survey StreamStats Web Application 2009 International Conference on Advanced Geographic Information Systems & Web Services Stream-Network Navigation in the U.S. Geological Survey StreamStats Web Application Kernell G. Ries III, Peter A.

More information

National Network of Reference Watersheds

National Network of Reference Watersheds National Network of Reference Watersheds National Water Quality Monitoring Council (NWQMC) Advisory Committee for Water Information (ACWI) Present proposal to NWQMC - approved May 2011 Present proposal

More information

Chapter 6: Data Acquisition Methods, Procedures, and Issues

Chapter 6: Data Acquisition Methods, Procedures, and Issues Chapter 6: Data Acquisition Methods, Procedures, and Issues In this Exercise: Data Acquisition Downloading Geographic Data Accessing Data Via Web Map Service Using Data from a Text File or Spreadsheet

More information

Sign Inventory and Management (SIM) Program Introduction

Sign Inventory and Management (SIM) Program Introduction Sign Inventory and Management (SIM) Program Introduction A Sign Inventory and Management (SIM) Program is an area of asset management that focuses specifically on creating an inventory of traffic signs

More information

Welcome to the STORET Data Management Training for Water Quality Data, also known as Getting Data into STORET.

Welcome to the STORET Data Management Training for Water Quality Data, also known as Getting Data into STORET. STORET Data Management Training for Water Quality Data Welcome to the STORET Data Management Training for Water Quality Data, also known as Getting Data into STORET. 1 STORET Team Frank Kohlasch Supervisor

More information

Guidelines on Information Deliverables for Research Projects in Grand Canyon National Park

Guidelines on Information Deliverables for Research Projects in Grand Canyon National Park INTRODUCTION Science is playing an increasing role in guiding National Park Service (NPS) management activities. The NPS is charged with protecting and maintaining data and associated information that

More information

National Levee Database (NLD) Data Management Tool (DMT) Levee Data Manager User Manual 1.2

National Levee Database (NLD) Data Management Tool (DMT) Levee Data Manager User Manual 1.2 National Levee Database (NLD) Data Management Tool (DMT) Levee Data Manager User Manual 1.2 Prepared for (USACE) Cold Regions Research and Engineering Laboratory (CRREL) October 26, 2012 Document Change

More information

Utah State General Records Retention Schedule SCHEDULE 1 GEOSPATIAL DATA SETS

Utah State General Records Retention Schedule SCHEDULE 1 GEOSPATIAL DATA SETS Utah State General Records Retention Schedule SCHEDULE 1 BIOTA RECORDS (Item 1-26) These are geospatial records that depict wildlife use areas in the state of Utah as determined by wildlife biologists

More information

RISK LEVEL DETERMINATION

RISK LEVEL DETERMINATION RISK LEVEL DETERMINATION Frequently Asked Questions 1. Q - Where do I get guidance for doing Risk Level Determination? A - Caltrans has developed guidance to assist Project Engineers to determine RL for

More information

Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland

Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland By Lesley E. Milheim, John W. Jones, and Roger A. Barlow Open-File Report 2007 1308

More information

GIS User Guide. for the. County of Calaveras

GIS User Guide. for the. County of Calaveras GIS User Guide for the County of Calaveras Written by Dave Pastizzo GIS Coordinator Calaveras County San Andreas, California August 2000 Table of Contents Introduction..1 The Vision.1 Roles and Responsibilities...1

More information

SCIENCE-BASED GIS SOLUTIONS. www.earthanalytic.com

SCIENCE-BASED GIS SOLUTIONS. www.earthanalytic.com SCIENCE-BASED GIS SOLUTIONS www.earthanalytic.com Pipeline Routing, Site Selection, Cost Estimation and Risk Management Tools for Energy SmartFootprint is an extension to ArcGIS designed to assist planning,

More information

NatureServe s Environmental Review Tool

NatureServe s Environmental Review Tool NatureServe s Environmental Review Tool A Repeatable Online Software Solution for Agencies For More Information, Contact: Lori Scott Rob Solomon lori_scott@natureserve.org rob_solomon@natureserve.org 703-908-1877

More information

Downloading & Using Data from the STORET Warehouse: An Exercise

Downloading & Using Data from the STORET Warehouse: An Exercise Downloading & Using Data from the STORET Warehouse: An Exercise August 2012 This exercise addresses querying or searching for specific water resource data, and the respective methods used in collecting

More information

Introduction to GIS. http://libguides.mit.edu/gis

Introduction to GIS. http://libguides.mit.edu/gis Introduction to GIS http://libguides.mit.edu/gis 1 Overview What is GIS? Types of Data and Projections What can I do with GIS? Data Sources and Formats Software Data Management Tips 2 What is GIS? 3 Characteristics

More information

Microsoft Access 2010 Part 1: Introduction to Access

Microsoft Access 2010 Part 1: Introduction to Access CALIFORNIA STATE UNIVERSITY, LOS ANGELES INFORMATION TECHNOLOGY SERVICES Microsoft Access 2010 Part 1: Introduction to Access Fall 2014, Version 1.2 Table of Contents Introduction...3 Starting Access...3

More information

1.0 INTRODUCTION 1.1 Overview

1.0 INTRODUCTION 1.1 Overview Guidance document for the writing of standard operating procedures (Taken from United States Environmental Protection Agency Guidance for Preparing Standard Operating Procedures (SOPs) EPA QA/G- 6 [EPA/600/B-

More information

TENNESSEE GAS PIPELINE COMPANY, L.L.C.

TENNESSEE GAS PIPELINE COMPANY, L.L.C. TENNESSEE GAS PIPELINE COMPANY, L.L.C. HYDROLOGIC & HYDRAULIC CALCULATIONS FOR WATERBODIES CROSSED BY CONNECTICUT PIPELINE EXPANSION PROJECT CONNECTICUT LOOP Submitted by: Tennessee Gas Pipeline Company,

More information

Help Desk Review of Quality Assurance Project Plans

Help Desk Review of Quality Assurance Project Plans Help Desk Review of Quality ssurance Project Plans May 2, 2011 pproved by Beverly H. van Buuren, Surface Water mbient Monitoring Program Quality ssurance Officer, on May 2, 2011 1. Purpose This document

More information

Water Quality Exchange XML Training Manual for BEACH Monitoring Data

Water Quality Exchange XML Training Manual for BEACH Monitoring Data Water Quality Exchange XML for BEACH Monitoring Data U.S. Environmental Protection Agency Washington, DC January 29, 2013 EPA Technical Support 1-800-424-9067 storet@epa.gov Electronic copies of this document,

More information

GIS Data Conversion. GIS maps are digital not analog. Getting the Map into the Computer

GIS Data Conversion. GIS maps are digital not analog. Getting the Map into the Computer Getting the Map into the Computer Getting the Map into the Computer Getting Started with Geographic Information Systems Chapter 4 4.1 Analog-to-Digital Maps 4.2 Finding Existing Map Data 4.3 Digitizing

More information

Data Visualization Techniques and Practices Introduction to GIS Technology

Data Visualization Techniques and Practices Introduction to GIS Technology Data Visualization Techniques and Practices Introduction to GIS Technology Michael Greene Advanced Analytics & Modeling, Deloitte Consulting LLP March 16 th, 2010 Antitrust Notice The Casualty Actuarial

More information

PEBBLE PROJECT ENVIRONMENTAL BASELINE DOCUMENT 2004 through 2008 APPENDIX C. DATA MANAGEMENT AND GEOGRAPHIC INFORMATION SYSTEM

PEBBLE PROJECT ENVIRONMENTAL BASELINE DOCUMENT 2004 through 2008 APPENDIX C. DATA MANAGEMENT AND GEOGRAPHIC INFORMATION SYSTEM PEBBLE PROJECT ENVIRONMENTAL BASELINE DOCUMENT 2004 through 2008 APPENDIX C. DATA MANAGEMENT AND GEOGRAPHIC INFORMATION SYSTEM PREPARED BY: RESOURCE DATA, INC. TABLE OF CONTENTS TABLE OF CONTENTS... C-i

More information

Groundwater Chemistry

Groundwater Chemistry Mapping and Modeling Groundwater Chemistry By importing Excel spreadsheets into ArcGIS 9.2 By Mike Price, Entrada/San Juan, Inc. In ArcGIS 9.2, Microsoft Excel spreadsheet data can be imported and used

More information

TABLE OF CONTENTS. LIST OF TABLES (attached) TABLE OF CONTENTS...19-i. LIST OF TABLES (attached)...19-i. ACRONYMS...19-ii

TABLE OF CONTENTS. LIST OF TABLES (attached) TABLE OF CONTENTS...19-i. LIST OF TABLES (attached)...19-i. ACRONYMS...19-ii DRAFT ENVIRONMENTAL BASELINE STUDIES 2006 STUDY PLANS CHAPTER 19. DATA MANAGEMENT AND GIS JULY 2006 DRAFT DATA MANAGEMENT AND GIS TABLE OF CONTENTS TABLE OF CONTENTS...19-i LIST OF TABLES (attached)...19-i

More information

Region 10 Sharing Analytical Data

Region 10 Sharing Analytical Data Region 10 Sharing Analytical Data Office of Water - Water Quality Exchange (WQX Schemas) WQX/STORET Outbound Web Service (Schemas) Region 10 Contacts Coeur d Alene d Superfund Site Manager: Anne Dailey

More information

TITLE: Use of Hydro Event Management Tools by a Local Water Delivery Organization to Place Customer Parcel Events on the National Hydrography Database

TITLE: Use of Hydro Event Management Tools by a Local Water Delivery Organization to Place Customer Parcel Events on the National Hydrography Database TITLE: Use of Hydro Event Management Tools by a Local Water Delivery Organization to Place Customer Parcel Events on the National Hydrography Database Author: Idaho Department of Water Resources (IDWR)

More information

Michigan Tech Research Institute Wetland Mitigation Site Suitability Tool

Michigan Tech Research Institute Wetland Mitigation Site Suitability Tool Michigan Tech Research Institute Wetland Mitigation Site Suitability Tool Michigan Tech Research Institute s (MTRI) Wetland Mitigation Site Suitability Tool (WMSST) integrates data layers for eight biophysical

More information

Quick Start Guide to. ArcGISSM. Online

Quick Start Guide to. ArcGISSM. Online Quick Start Guide to ArcGISSM Online ArcGIS Online Quick Start Guide ArcGIS SM Online is a cloud-based mapping platform for organizations. Users get access to dynamic, authoritative content to create,

More information

Summary of CASQA Pyrethroids Monitoring Data Compilation

Summary of CASQA Pyrethroids Monitoring Data Compilation Summary of CASQA Pyrethroids Monitoring Data Compilation By Armand Ruby Armand Ruby Consulting UPC Oakland, Sept. 16, 2008 KEY MOMENTS IN RECENT CA HISTORY: Mid-late 1990 s: OP pesticides (esp. diazinon)

More information

How do I create a Peachtree (Sage 50) Payroll export file?

How do I create a Peachtree (Sage 50) Payroll export file? How do I create a Peachtree (Sage 50) Payroll export file? Steps to complete prior to running the payroll export in HBS: In Peachtree: Prior to setting up the Peachtree (Sage 50) Payroll export, you will

More information

Creating a File Geodatabase

Creating a File Geodatabase Creating a File Geodatabase Updated by Thomas Stieve January 06, 2012 This exercise demonstrates how to create a file geodatabase in ArcGIS 10; how to import existing data into the geodatabase, and how

More information

ABSTRACT INTRODUCTION CLINICAL PROJECT TRACKER OF SAS TASKS. Paper PH-02-2015

ABSTRACT INTRODUCTION CLINICAL PROJECT TRACKER OF SAS TASKS. Paper PH-02-2015 Paper PH-02-2015 Project Management of SAS Tasks - Excel Dashboard without Using Any Program Kalaivani Raghunathan, Quartesian Clinical Research Pvt. Ltd, Bangalore, India ABSTRACT Have you ever imagined

More information

Guide to Writing a Water Quality Monitoring Plan

Guide to Writing a Water Quality Monitoring Plan Guide to Writing a Water Quality Monitoring Plan 2013 Scoping Worksheets and Plan Template This guide has been compiled by the Community-Based Environmental Monitoring Network and CURA H2O to assist stewardship

More information

Studying Topography, Orographic Rainfall, and Ecosystems (STORE)

Studying Topography, Orographic Rainfall, and Ecosystems (STORE) Studying Topography, Orographic Rainfall, and Ecosystems (STORE) Basic Lesson 3: Using Microsoft Excel to Analyze Weather Data: Topography and Temperature Introduction This lesson uses NCDC data to compare

More information

Coming To An Airport Near You

Coming To An Airport Near You Airport GIS Data & ealp Coming To An Airport Near You Kevin Shirer, AAE Project Manager Association of California Airports; September 2009 Today s Presentation & Expectations Take away Basic knowledge

More information

Finding GIS Data and Preparing it for Use

Finding GIS Data and Preparing it for Use Finding_Data_Tutorial.Doc Page 1 of 19 Getting Ready for the Tutorial Sign Up for the GIS-L Listserv Finding GIS Data and Preparing it for Use The Yale University GIS-L Listserv is an internal University

More information

Comprehensive Monitoring and Assessment Strategy to Protect and Restore California s Water Quality

Comprehensive Monitoring and Assessment Strategy to Protect and Restore California s Water Quality Comprehensive Monitoring and Assessment Strategy to Protect and Restore California s Water Quality October 2005 State Water Resources Control Board and Regional Water Quality Control Boards Table of Contents

More information

Easy Map Excel Tool USER GUIDE

Easy Map Excel Tool USER GUIDE Easy Map Excel Tool USER GUIDE Overview Easy Map tool provides basic maps showing customized data, by Ontario health unit geographies. This tool will come in handy especially when there is no dedicated

More information

ACCESS 2007. Importing and Exporting Data Files. Information Technology. MS Access 2007 Users Guide. IT Training & Development (818) 677-1700

ACCESS 2007. Importing and Exporting Data Files. Information Technology. MS Access 2007 Users Guide. IT Training & Development (818) 677-1700 Information Technology MS Access 2007 Users Guide ACCESS 2007 Importing and Exporting Data Files IT Training & Development (818) 677-1700 training@csun.edu TABLE OF CONTENTS Introduction... 1 Import Excel

More information

Guidance for Flood Risk Analysis and Mapping. Changes Since Last FIRM

Guidance for Flood Risk Analysis and Mapping. Changes Since Last FIRM Guidance for Flood Risk Analysis and Mapping Changes Since Last FIRM May 2014 This guidance document supports effective and efficient implementation of flood risk analysis and mapping standards codified

More information

Georeferencing and Google Earth. Cyberinfrastructure: Specimen Databases: Day 5 Brigette Zacharczenko

Georeferencing and Google Earth. Cyberinfrastructure: Specimen Databases: Day 5 Brigette Zacharczenko Georeferencing and Google Earth Cyberinfrastructure: Specimen Databases: Day 5 Brigette Zacharczenko 1 Georeferencing standards Georeferencing of legacy data Georeferencing exercise Mapping data Using

More information

UTAH DEPARTMENT OF ENVIRONMENTAL QUALITY TIER 2 SUBMISSION PORTAL. And APPLICATION USER S GUIDE

UTAH DEPARTMENT OF ENVIRONMENTAL QUALITY TIER 2 SUBMISSION PORTAL. And APPLICATION USER S GUIDE UTAH DEPARTMENT OF ENVIRONMENTAL QUALITY TIER 2 SUBMISSION PORTAL And APPLICATION USER S GUIDE January 2015 1 Utah DEQ Tier 2 Internet Portal DEQ offers multiple options to assist facility submitters in

More information

Basics Series-4004 Database Manager and Import Version 9.0

Basics Series-4004 Database Manager and Import Version 9.0 Basics Series-4004 Database Manager and Import Version 9.0 Information in this document is subject to change without notice and does not represent a commitment on the part of Technical Difference, Inc.

More information

9.1. Adequacy of Available Data and Monitoring Efforts

9.1. Adequacy of Available Data and Monitoring Efforts 9. DATA MANAGEMENT Data management is a crucial aspect of successful implementation of the ARB IRWMP and its component projects. This section discusses the adequacy of available data and monitoring efforts,

More information

An Esri White Paper January 2011 HL7 and Spatial Interoperability Standards for Public Health and Health Care Delivery

An Esri White Paper January 2011 HL7 and Spatial Interoperability Standards for Public Health and Health Care Delivery An Esri White Paper January 2011 HL7 and Spatial Interoperability Standards for Public Health and Health Care Delivery Esri, 380 New York St., Redlands, CA 92373-8100 USA TEL 909-793-2853 FAX 909-793-5953

More information

WATER QUALITY DATA MANAGEMENT DATABASE. Rushit Hila. A project submitted to the faculty of. Brigham Young University.

WATER QUALITY DATA MANAGEMENT DATABASE. Rushit Hila. A project submitted to the faculty of. Brigham Young University. WATER QUALITY DATA MANAGEMENT DATABASE by Rushit Hila A project submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Department

More information

GMS Applicant Procedures Applicant - OJP Grants Management System Welcome Page (AP-1)

GMS Applicant Procedures Applicant - OJP Grants Management System Welcome Page (AP-1) Applicant - OJP Grants Management System Welcome Page (AP-) Welcome to the Applicant Procedures (AP) for the OJP Grants Management System. These Job Aids will guide you through the procedures for using

More information

Practical, Easy-to-Use, Free GIS and Remote Sensing Tools for Resource Management

Practical, Easy-to-Use, Free GIS and Remote Sensing Tools for Resource Management Practical, Easy-to-Use, Free GIS and Remote Sensing Tools for Resource Management Andrew Lister Research Forester 11 Campus Blvd, Ste. 200 Newtown Square, PA 19073 alister@fs.fed.us Abstract: Geographic

More information

United States Department of Agriculture US Forest Service Natural Resource Manager (NRM) Air v2.3 User Guide Chapter 1: Introduction

United States Department of Agriculture US Forest Service Natural Resource Manager (NRM) Air v2.3 User Guide Chapter 1: Introduction United States Department of Agriculture US Forest Service Natural Resource Manager (NRM) Air v2.3 User Guide Chapter 1: Introduction February 2015 TABLE OF CONTENTS Overview... 1-3 Why Do Water Chemistry

More information

USGS StreamStats Web Application for Kentucky

USGS StreamStats Web Application for Kentucky USGS StreamStats Web Application for Kentucky Implementation of selected low- and mean-flow estimating equations Gary Martin, Hydrologist Project Chief U.S. Geological Survey, Kentucky Water Science Center

More information

DRAFT ENVIRONMENTAL BASELINE STUDIES PROPOSED 2007 STUDY PLANS CHAPTER 19 DATA MANAGEMENT AND GEOGRAPHIC INFORMATION SYSTEM

DRAFT ENVIRONMENTAL BASELINE STUDIES PROPOSED 2007 STUDY PLANS CHAPTER 19 DATA MANAGEMENT AND GEOGRAPHIC INFORMATION SYSTEM DRAFT ENVIRONMENTAL BASELINE STUDIES PROPOSED 2007 STUDY PLANS CHAPTER 19 DATA MANAGEMENT AND GEOGRAPHIC INFORMATION SYSTEM DRAFT SEPTEMBER 2007 DRAFT DATA MANAGEMENT AND GIS TABLE OF CONTENTS TABLE OF

More information

Introduction to Geographic Information System course SESREMO Tempus Project. Gabriel Parodi

Introduction to Geographic Information System course SESREMO Tempus Project. Gabriel Parodi WRS - ITC. The Netherlands. Introduction to Geographic Information System course SESREMO Tempus Project. Gabriel Parodi Curricula transfer 2014 INTRODUCTION TO GIS COURSE- SESREMO TEMPUS Table of Contents

More information

CREATING EXCEL PIVOT TABLES AND PIVOT CHARTS FOR LIBRARY QUESTIONNAIRE RESULTS

CREATING EXCEL PIVOT TABLES AND PIVOT CHARTS FOR LIBRARY QUESTIONNAIRE RESULTS CREATING EXCEL PIVOT TABLES AND PIVOT CHARTS FOR LIBRARY QUESTIONNAIRE RESULTS An Excel Pivot Table is an interactive table that summarizes large amounts of data. It allows the user to view and manipulate

More information

Call Management Detail Call Report

Call Management Detail Call Report Call Management Detail Call Report You can view your call details at any time by accessing the call reporting website at www.callreporting.com. You will get a display that should look like the image below:

More information

Studying Topography, Orographic Rainfall, and Ecosystems (STORE)

Studying Topography, Orographic Rainfall, and Ecosystems (STORE) Studying Topography, Orographic Rainfall, and Ecosystems (STORE) Introduction Basic Lesson 2: Using ArcGIS Explorer to Analyze the Connection between Topography and Rainfall This lesson introduces Geographical

More information

REGULATORY GUIDANCE LETTER

REGULATORY GUIDANCE LETTER REGULATORY GUIDANCE LETTER No. 08-02 Date: 26 June 2008 SUBJECT: Jurisdictional Determinations 1. Purpose. Approved jurisdictional determinations (JDs) and preliminary JDs are tools used by the U.S. Army

More information

A HYDROLOGIC NETWORK SUPPORTING SPATIALLY REFERENCED REGRESSION MODELING IN THE CHESAPEAKE BAY WATERSHED

A HYDROLOGIC NETWORK SUPPORTING SPATIALLY REFERENCED REGRESSION MODELING IN THE CHESAPEAKE BAY WATERSHED A HYDROLOGIC NETWORK SUPPORTING SPATIALLY REFERENCED REGRESSION MODELING IN THE CHESAPEAKE BAY WATERSHED JOHN W. BRAKEBILL 1* AND STEPHEN D. PRESTON 2 1 U.S. Geological Survey, Baltimore, MD, USA; 2 U.S.

More information

4. The Third Stage In Designing A Database Is When We Analyze Our Tables More Closely And Create A Between Tables

4. The Third Stage In Designing A Database Is When We Analyze Our Tables More Closely And Create A Between Tables 1. What Are The Different Views To Display A Table A) Datasheet View B) Design View C) Pivote Table & Pivot Chart View D) All Of Above 2. Which Of The Following Creates A Drop Down List Of Values To Choose

More information

REGIONAL SEDIMENT MANAGEMENT: A GIS APPROACH TO SPATIAL DATA ANALYSIS. Lynn Copeland Hardegree, Jennifer M. Wozencraft 1, Rose Dopsovic 2 INTRODUCTION

REGIONAL SEDIMENT MANAGEMENT: A GIS APPROACH TO SPATIAL DATA ANALYSIS. Lynn Copeland Hardegree, Jennifer M. Wozencraft 1, Rose Dopsovic 2 INTRODUCTION REGIONAL SEDIMENT MANAGEMENT: A GIS APPROACH TO SPATIAL DATA ANALYSIS Lynn Copeland Hardegree, Jennifer M. Wozencraft 1, Rose Dopsovic 2 ABSTRACT: Regional sediment management (RSM) requires the capability

More information

Office of Trust Services Geospatial Support. GEOSPATIAL TRAINING SCHEDULE APRIL 2014 SEPTEMBER 2014 Version: 24 February 2014

Office of Trust Services Geospatial Support. GEOSPATIAL TRAINING SCHEDULE APRIL 2014 SEPTEMBER 2014 Version: 24 February 2014 UNITED STATES DEPARTMENT OF THE INTERIOR BUREAU OF INDIAN AFFAIRS Office of Trust Services Geospatial Support 13922 Denver West Parkway, Building 54, Suite 300 Lakewood, CO 80401 Email: OTSGS@bia.gov BIA

More information

CRM Form to Web. Internet Lead Capture. Web Form Configuration Instructions VERSION 1.0 DATE PREPARED: 1/1/2013

CRM Form to Web. Internet Lead Capture. Web Form Configuration Instructions VERSION 1.0 DATE PREPARED: 1/1/2013 CRM Form to Web Internet Lead Capture Web Form Configuration Instructions VERSION 1.0 DATE PREPARED: 1/1/2013 DEVELOPMENT: BRITE GLOBAL, INC. 2013 Brite Global, Incorporated. All rights reserved. The information

More information

Haas GPS Text N-Track H1400. Fleet Guide. Haas GPS 5774 Uplander Way Culver City, CA 90230 310.641.1274 866.524.4227 866.524.HAAS www.haasgps.

Haas GPS Text N-Track H1400. Fleet Guide. Haas GPS 5774 Uplander Way Culver City, CA 90230 310.641.1274 866.524.4227 866.524.HAAS www.haasgps. Haas GPS Text N-Track H1400 Fleet Guide Haas GPS 5774 Uplander Way Culver City, CA 90230 310.641.1274 866.524.4227 866.524.HAAS www.haasgps.com Accessing the Website/Introduction This guide offers an overview

More information

Addison County River Watch Collaborative Database. A Manual

Addison County River Watch Collaborative Database. A Manual Addison County River Watch Collaborative Database A Manual Created by Caitlin Hicks as a Middlebury College ES 401 service learning project in the spring of 2004 Table of Contents Introduction..3 Tables

More information

How to Download Census Data from American Factfinder and Display it in ArcMap

How to Download Census Data from American Factfinder and Display it in ArcMap How to Download Census Data from American Factfinder and Display it in ArcMap Factfinder provides census and ACS (American Community Survey) data that can be downloaded in a tabular format and joined with

More information

Data Quality. Tips for getting it, keeping it, proving it! Central Coast Ambient Monitoring Program

Data Quality. Tips for getting it, keeping it, proving it! Central Coast Ambient Monitoring Program Data Quality Tips for getting it, keeping it, proving it! Central Coast Ambient Monitoring Program Why do we care? Program goals are key what do you want to do with the data? Data utility increases directly

More information

The process of database development. Logical model: relational DBMS. Relation

The process of database development. Logical model: relational DBMS. Relation The process of database development Reality (Universe of Discourse) Relational Databases and SQL Basic Concepts The 3rd normal form Structured Query Language (SQL) Conceptual model (e.g. Entity-Relationship

More information

Temperature Data Analysis

Temperature Data Analysis Continuous Temperature Data Analysis and Presentation Representing multiple sites on a single chart creates a better understanding of the watershed Using river mile is an easy way to set the geographic

More information

Quick and Easy Web Maps with Google Fusion Tables. SCO Technical Paper

Quick and Easy Web Maps with Google Fusion Tables. SCO Technical Paper Quick and Easy Web Maps with Google Fusion Tables SCO Technical Paper Version History Version Date Notes Author/Contact 1.0 July, 2011 Initial document created. Howard Veregin 1.1 Dec., 2011 Updated to

More information

GIS. Digital Humanities Boot Camp Series

GIS. Digital Humanities Boot Camp Series GIS Digital Humanities Boot Camp Series GIS Fundamentals GIS Fundamentals Definition of GIS A geographic information system (GIS) is used to describe and characterize spatial data for the purpose of visualizing

More information

Contents. The OWRB Floodplain Viewer. Creating Maps... 8. Helpful Tips... 10

Contents. The OWRB Floodplain Viewer. Creating Maps... 8. Helpful Tips... 10 Contents QUICK START GUIDE... 2-5 Add layers...9 Search for Layers...9 COMPREHENSIVE GUIDE... 6 Navigate the map...6 Locate specific places...6 Add layer from file...9 Add layer from web...9 Display pop-up

More information

Data Collection and Reporting Tool Training Presentation

Data Collection and Reporting Tool Training Presentation Data Collection and Reporting Tool Training Presentation 1 Table of Contents Introduction to the tool: Slides 3-9 How to use the tool General Information: Slides 11-14 Country Coordinator: Slides 15-35

More information

Create a folder on your network drive called DEM. This is where data for the first part of this lesson will be stored.

Create a folder on your network drive called DEM. This is where data for the first part of this lesson will be stored. In this lesson you will create a Digital Elevation Model (DEM). A DEM is a gridded array of elevations. In its raw form it is an ASCII, or text, file. First, you will interpolate elevations on a topographic

More information

STATEMENT OF WORK. NETL Cooperative Agreement DE-FC26-02NT41476

STATEMENT OF WORK. NETL Cooperative Agreement DE-FC26-02NT41476 STATEMENT OF WORK NETL Cooperative Agreement DE-FC26-02NT41476 Database and Analytical Tool for the Management of Data Derived from U. S. DOE (NETL) Funded Fine Particulate (PM 2.5 ) Research PROJECT SCOPE

More information

Remote Sensing, GPS and GIS Technique to Produce a Bathymetric Map

Remote Sensing, GPS and GIS Technique to Produce a Bathymetric Map Remote Sensing, GPS and GIS Technique to Produce a Bathymetric Map Mark Schnur EES 5053 Remote Sensing Fall 2007 University of Texas at San Antonio, Department of Earth and Environmental Science, San Antonio,

More information

National Weather Service River Forecast System (NWSRFS) Reservoir Tools Enhancement

National Weather Service River Forecast System (NWSRFS) Reservoir Tools Enhancement NATIONAL WEATHER SERVICE OFFICE of HYDROLOGIC DEVELOPMENT CONCEPT OF OPERATIONS And REQUIREMENTS DOCUMENT National Weather Service River Forecast System (NWSRFS) Reservoir Tools Enhancement Revision History

More information

AiM User Guide Property Module

AiM User Guide Property Module AiM User Guide 2010 AssetWorks Inc. 1777 NE Loop 410, Suite 1250 San Antonio, Texas 78217 (800) 268-0325 Table of Contents AiM User Guide INTRODUCTION... 4 CHAPTER 1: PROPERTY PROFILE SCREEN... 5 CHAPTER

More information

MINIMUM STANDARDS FOR ACCEPTANCE OF AQUATIC RESOURCES DELINEATION REPORTS

MINIMUM STANDARDS FOR ACCEPTANCE OF AQUATIC RESOURCES DELINEATION REPORTS MINIMUM STANDARDS FOR ACCEPTANCE OF AQUATIC RESOURCES DELINEATION REPORTS U.S. ARMY CORPS OF ENGINEERS BUILDING STRONG January 2016 The U.S Army Corps of Engineers, through its Regulatory Program, regulates

More information

NJDEP GPS Data Collection Standards For GIS Data Development

NJDEP GPS Data Collection Standards For GIS Data Development NJDEP GPS Data Collection Standards For GIS Data Development Bureau of Geographic Information Systems Office of Information Resource Management June 8, 2011 1.0 Introduction... 3 2.0 GPS Receiver Hardware

More information

Microsoft Office Access 2007 Basics

Microsoft Office Access 2007 Basics Access(ing) A Database Project PRESENTED BY THE TECHNOLOGY TRAINERS OF THE MONROE COUNTY LIBRARY SYSTEM EMAIL: TRAININGLAB@MONROE.LIB.MI.US MONROE COUNTY LIBRARY SYSTEM 734-241-5770 1 840 SOUTH ROESSLER

More information

CHAPTER 2 PAVEMENT MANAGEMENT SYSTEM

CHAPTER 2 PAVEMENT MANAGEMENT SYSTEM CHAPTER 2 PAVEMENT MANAGEMENT SYSTEM 2.1. INTRODUCTION TO PAVEMENT MANAGEMENT The ability of a pavement system to serve a society is largely a function of planning. Planning is the intersection between

More information

LYON COUNTY GEOMOOSE 2 HELP DOCUMENT

LYON COUNTY GEOMOOSE 2 HELP DOCUMENT LYON COUNTY GEOMOOSE 2 HELP DOCUMENT TABLE OF CONTENTS Lyon County Geomoose 2 Help Document... 1 Introduction... 3 Quick Reference Chart... 4 The Interface... 4 The Table of Contents... 5 Quick Reference

More information

Installing Tri-Global Software

Installing Tri-Global Software Installing Tri-Global Software To Begin, let us first talk about the different pieces of software available to you and the purpose for each. The individual software pieces are listed below, with a brief

More information

Pharmacy Affairs Branch. Website Database Downloads PUBLIC ACCESS GUIDE

Pharmacy Affairs Branch. Website Database Downloads PUBLIC ACCESS GUIDE Pharmacy Affairs Branch Website Database Downloads PUBLIC ACCESS GUIDE From this site, you may download entity data, contracted pharmacy data or manufacturer data. The steps to download any of the three

More information

REAL PROPERTY STATUS REPORT (COVER PAGE) Page: of : Pages. 1. Federal Agency and Organizational Element to Which Report is Submitted:

REAL PROPERTY STATUS REPORT (COVER PAGE) Page: of : Pages. 1. Federal Agency and Organizational Element to Which Report is Submitted: REAL PROPERTY STATUS REPORT (COVER PAGE) Page: of : Pages 1. Federal Agency and Organizational Element to Which Report is Submitted: 2. Federal Grant(s) or Other Identifying Number(s) Assigned by Federal

More information