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TwitterStations and a table of download links for time-series data, from DWR's continuous environmental monitoring database. For more information, see DWR's Water Data Library, continuous data section: https://wdl.water.ca.gov/ContinuousData.aspx, where this data is also available.
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TwitterThis is a point feature class of environmental monitoring stations maintained in the California Department of Water Resources’ (hereafter the Department) Water Data Library Database (WDL) for discrete “grab” water quality sampling stations. The WDL database contains DWR-collected, current and historical, chemical and physical parameters found in drinking water, groundwater, and surface waters throughout the state. This dataset is comprised of a Stations point feature class and a related “Period of Record by Station and Parameter” table. The Stations point feature class contains basic information about each station including station name, station type, latitude, longitude, and the dates of the first and last sample collection events on record. The related Period of Record Table contains the list of parameters (i.e. chemical analyte or physical parameter) collected at each station along with the start date and end date (period of record) for each parameter and the number of data points collected. The Lab and Field results data associated with this discrete grab water quality stations dataset can be accessed from the California Natural Resources Agencies Open Data Platform at https://data.cnra.ca.gov/dataset/water-quality-data or from DWR’s Water Data Library web application at https://wdl.water.ca.gov/waterdatalibrary/index.cfm.
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TwitterThis is a point feature class of environmental monitoring stations maintained in the California Department of Water Resources’ (hereafter the Department) Hydstra continuous database management system used for collection of high frequency continuous timeseries data for groundwater, surface water, water quality and tidal station types. The QA/QC data timeseries data associated with these stations is published through the Departments Water Data Library web application. This dataset is comprised of a “Stations Table” and a related “Period of Record Table”. Stations table is the primary feature class and contains basic information about each station including Station Name, Latitude, Longitude and Description. The Period of Record Table is a related feature class that contains a list of parameters (i.e. stage, flow, depth to groundwater, water temperature, turbidity, pH, etc.) collected at each station along with the start date and end date (period of record) for each parameter and the number of data points collected.
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This is a point feature class of environmental monitoring stations maintained in the California Department of Water Resources’ (hereafter the Department) Water Data Library Database (WDL) for discrete “grab” water quality sampling stations. The WDL database contains DWR-collected, current and historical, chemical and physical parameters found in drinking water, groundwater, and surface waters throughout the state. This dataset is comprised of a Stations point feature class and a related “Period of Record by Station and Parameter” table. The Stations point feature class contains basic information about each station including station name, station type, latitude, longitude, and the dates of the first and last sample collection events on record. The related Period of Record Table contains the list of parameters (i.e. chemical analyte or physical parameter) collected at each station along with the start date and end date (period of record) for each parameter and the number of data points collected. The Lab and Field results data associated with this discrete grab water quality stations dataset can be accessed from the California Natural Resources Agencies Open Data Platform at https://data.cnra.ca.gov/dataset/water-quality-data or from DWR’s Water Data Library web application at https://wdl.water.ca.gov/waterdatalibrary/index.cfm.
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The DWR Periodic Groundwater Levels dataset contains seasonal and long-term groundwater level measurements collected by the Department of Water Resources and cooperating agencies in groundwater basins statewide. It also includes data collected through the CASGEM (California Statewide Groundwater Elevation Monitoring) Program. Most measurements are taken manually twice per year to capture the peak high and low values in groundwater elevations. However, the dataset also includes measurements recorded more frequently, monthly, weekly, or daily. For groundwater level measurements recorded at more frequent intervals, please refer to DWR's “Continuous Groundwater Level Measurements” dataset.
For additional information regarding DWR groundwater levels data collection please visit DWR's Groundwater Management website (https://www.water.ca.gov/Programs/Groundwater-Management). The source data can be also be accessed directly from two websites. The Water Data Library (http://wdl.water.ca.gov/waterdatlibrary) provides anonymous access to this and other data sets. The CASGEM online system (https://www.casgem.water.ca.gov/OSS) provides authenticated access to only the the periodic groundwater measurements.
This dataset is maintained in the DWR Enterprise Water Management database, and contains information specific to the location of groundwater level monitoring wells and groundwater level measurements collected at these wells. The Stations resource identifies well location coordinates and other supplementary items about the well type. Measurements resources includes information about the time/date a measurement was collected, the entity collecting the measurement, a measurement indicating the depth to groundwater, and quality information about the measurement. The Well Perforations resources contains well construction information identifying the well's screened intervals (not available for all wells).
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This geospatial data set represents about 2,500 locations of boreholes, shafts, tunnels, and drifts on and around the Nevada Test Site (NTS) where rock-samples have been collected. Information from the rock-samples is summarized for each hole and includes lithologic descriptions, physical and mechanical properties, fracture characteristics, and hydraulic properties where holes were completed below the water table. The digital data are accessed from the webpage for the NTS U.S. Geological Survey (USGS) Core Library and Data Center, Mercury, Nevada. Links to additional information, such as water-level data from the National Water Inventory System (NWIS), and USGS borehole graphical information are included for some holes.
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TwitterThis digital dataset contains historical geochemical and other information for 100 samples of groundwater from 71 wells located within 3 miles of the Poso Creek Oil Field in Kern County, California. An additional 12 wells in the Poso Creek study area, but co-located within 3 miles of the adjacent Rosedale and Rosedale Ranch Oil Fields, were not included in this data release; these data are planned for a future data release associated with those fields. The sampled wells include water-supply wells used primarily for domestic, irrigation, and industrial uses. Numerical water chemistry data were compiled from two data sources: 1) Kern County Public Health Services Department (KCPHSD) PDF (Portable Document Format) files, and 2) the Eastside Water Management Area (EWMA) Groundwater Sustainability Plan (GSP) Chapter. These data sources include varying location and well-construction information. Locations for most of the wells represent either well-specific coordinates provided in the KCPHSD PDFs, approximate locations determined using ArcGIS (GIS, Geographic Information System) software based on descriptive information or location maps in the KCPHSD PDFs, parcel centroid coordinates determined from a GIS parcel shapefile (KERN PARCEL) based on parcel numbers provided by either the KCPHSD or EWMA data source, or approximate locations from Google Earth based on visual identification of well locations. For two wells (Dataset_IDs 1 and 2) coordinates represent the locations provided by the California Department of Water Resources Water Data Library (CDWR WDL) as those particular wells are located in that database in association with water-level measurement data. For three wells (Dataset_IDs 22, 30, and 42) having limited information, locations represent meridian, township, range, section, and quarter-quarter section (MTRSQQ) centroids. Information on well construction was compiled from California Department of Water Resources Well Completion Reports (CDWR-WCR) included with the PDFs located on the KCPHSD website, or located on the CDWR Well Completion Reports Map Application website. Well construction from CDWR-WCRs was available for 53 of the 71 wells. For one well (Dataset_ID 5), a WCR could not be located, however, well construction information was available in the EWMA GSP. Data were manually compiled into two separate files described as follows: 1) a summary data file that includes well identifiers, location, construction, the number of chemistry samples, the period of record, specific sample dates for each site, and an inventory of which constituent groups were sampled on each date; and 2) a data file of geochemistry analyses for selected constituents classified into one of the following groups: water-quality indicators, major and minor ions, nutrients, trace elements, naturally occurring radioactive material (NORM), and volatile organic compounds (VOCs). Ion (charge) balance calculations and percent error of these calculations were included for samples having a complete suite of major ion analyses. Parameter code, analytical method, reporting level, reporting level type, and supplemental notes were included where available or pertinent. A data dictionary was created to describe the geochemistry data file and is provided with this data release.
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TwitterAvailable on CD Rom through the Map and Data Library. CD #023.
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Twitter(Webpage Under Development) The Department of Water Resources (DWR) provides Technical Support Services (TSS) to assist Groundwater Sustainability Agencies (GSAs) with the implementation of their Groundwater Sustainability Plans (GSPs) and other local entities to better understand groundwater conditions. These services support data collection, groundwater monitoring, and improved understanding of groundwater conditions to help advance sustainable groundwater management efforts across California. Through the TSS program, DWR has partnered with GSAs and other entities on projects across the state to drill and construct groundwater monitoring wells, install groundwater level recording and telemetry equipment, perform downhole camera and geophysical surveys, and collect and analyze groundwater for general chemistry. The data and reports generated from these efforts are publicly available to support ongoing groundwater management and planning. Additional information can be found on the Assistance and Engagement webpage. Summary of Completed TSS Projects To date, DWR has completed TSS projects in 35 groundwater subbasins, constructing 234 monitoring wells at 92 sites statewide. Each of these wells have been assigned a State Well Number (SWN), have had a Well Completion Report (WCR) submitted to DWRs Online System for Well Completion Reports (OSWCR), and have been registered either through the California Statewide Groundwater Elevation Monitoring (CASGEM) Online System or the Sustainable Groundwater Management Act (SGMA) Portal’s Monitoring Network Module (MNM). Groundwater level data from these wells are collected by the GSA or DWR and submitted to CASGEM and/or the MNM. These data can be viewed on the Water Data Library (WDL). WCRs for these wells can be found using the Well Completion Report Map Application. A summary table of completed TSS wells including their associated well name(s), site code(s), SWN(s), and WCR number(s), can be viewed and/or downloaded here: DWR Completed TSS Wells An interactive GIS map containing a feature set of all completed TSS wells can be accessed here: GIS Map of Completed TSS Wells The individual TSS well locations, associated borehole lithologic information, and groundwater level data can be viewed on the SGMA Data Viewer by: Checking the “DWR TSS Wells” box under the “Groundwater Levels” tab on the left side of the screen. Clicking on any one of the well location symbols that appear on the interactive map. Clicking on one of the associated Site Code numbers that appear in the results table. Completed TSS Projects by Groundwater Subbasin Below is a list of subbasins in which TSS projects have been completed. These projects are organized by DWR Region (Northern Region, North Central Region, South Central Region, and Southern Region). Each subbasin listed below has one or more completed TSS project. As more TSS projects are completed, they will be added to this list. All completed TSS projects have several associated documents and datasets, including a Well Installation Summary Report, TSS Agreement between DWR and the GSA, CEQA Notice of Exemption (NOE), Land Use or License Agreement, Local Drilling Permit, Composite Lithologic Log, Survey Report, and a Water Quality Analytical Report. Some projects also include downhole geophysical logs. These data and reports can be accessed by clicking on the subbasin below in which the project is located. Northern Region Antelope Subbasin Big Valley Subbasin Butte Valley Subbasin Colusa Subbasin Corning Subbasin Enterprise Subbasin Red Bluff Subbasin Shasta Valley Subbasin Sierra Valley Subbasin Wyandotte Creek Subbasin North Central Region Cosumnes Subbasin Eastern San Joaquin Subbasin North Yuba Subbasin Petaluma Valley Subbasin Santa Rosa Plain Subbasin Solano Subbasin Sonoma Valley Subbasin South Yuba Subbasin Tracy Subbasin Ukiah Valley Subbasin Yolo Subbasin South Central Region Delta Mendota Subbasin Kaweah Subbasin Kern County Subbasin Kings Subbasin Paso Robles Area Subbasin Tule Subbasin Turlock Subbasin Southern Region Borrego Springs Subbasin Cuyama Valley Subbasin Indian Wells Subbasin Indio Subbasin Mound Subbasin Oxnard Plain Subbasin Pleasant Valley Subbasin
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Much of the world’s data are stored, managed, and distributed by data centers. Data centers re-quire a tremendous amount of energy to operate, accounting for around 1.8% of electricity use in the United States. Large amounts of water are also required to operate data centers, both directly for liquid cooling and indirectly to produce electricity. For the first time, we calculate spatially-detailed carbon and water footprints of data centers operating within the United States, which is home to around one-quarter of all data center servers globally. Our bottom-up approach reveals one-fifth of data center servers direct water footprint comes from moderately to highly water stressed watersheds, while nearly half of servers are fully or partially powered by power plants located within water stressed regions. Approximately 0.5% of total US greenhouse gas emissions are attributed to data centers. We investigate tradeoffs and synergies between data center’s water and energy utilization by strategically locating data centers in areas of the country that will minimize one or more environmental footprints. Our study quantifies the environmental implications behind our data creation and storage and shows a path to decrease the environmental footprint of our increasing digital footprint..
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TwitterAll well locations from all datasets standardized on the GAMA Program's Groundwater Information System (GAMA GIS). This is a replacement of previous versions, updated quarterly. Authoritative version. WGS 84. All groundwater wells on GAMA Groundwater Information System, accessed July 7, 2025. Sources of data include (as indicated in GM_DATA_SOURCE field): GeoTracker: Wells sampled under regulated activities like cleanup and remediation. These are accessible through the California State Water Resources Control Board GeoTracker web site. USGS: Wells sampled and analyzed by the U.S. Geological Survey (USGS) through the Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project. GAMA: Wells sampled by California State Water Resources Control Board staff for the GAMA Program Domestic Well Project. DDW: Division of Drinking Water (DDW) wells sampled and regulated for delivered water quality under DDW oversight. DPR: Wells sampled by the Department of Pesticide Regulation (DPR) groundwater program. WDL: Wells in the Department of Water Resources (DWR) water quality sampling network in their water data library. LLNL: Wells sampled for groundwater age, isotopes, or noble gas for the GAMA Program by Lawrence Livermore National Laboratory (LLNL). NWIS: Wells sampled by the USGS and accessible via the National Water Information System (NWIS). UC Davis: Location of wells gathered from multiple local entities for use in the UC Davis Nitrate Report, under agreement with the GAMA Program. LOCALGW: Wells sampled under various local groundwater projects. As of July 30, 2019, this only includes the domestic sampling completed by the Central Coast Regional Water Quality Control Board. GAMA_LOCALGW: Wells sampled under local groundwater projects, generally sampled from private wells from various private and governmental organizations. Data was submitted through the GAMA Data Connection Portal. The field, GM_DATASET_NAME can also help explain the source of the dataset. Direct any questions to: GAMA@waterboards.ca.gov.
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TwitterWaterOperator org takes pride in being a user-friendly portal for information from across the industry that saves time, answers questions, and provides opportunities for ongoing learning at your own pace.
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TwitterAll well locations from all datasets standardized on the GAMA Program's Groundwater Information System (GAMA GIS). This is a replacement of previous versions, updated quarterly. Authoritative version. WGS 84.All groundwater wells on GAMA Groundwater Information System, accessed April 24, 2023. Sources of data include (as indicated in GM_DATA_SOURCE field):Geotracker: Wells sampled under regulated activities like cleanup and remediation. These are accessible through the California State Water Resources Control Board Geotracker web site.USGS: Wells sampled and analyzed by the U.S. Geological Survey (USGS) through the Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project.GAMA: Wells sampled by California State Water Resources Control Board staff for the GAMA Program Domestic Well Project.DDW: Division of Drinking Water (DDW) wells sampled and regulated for delivered water quality under DDW oversight.DPR: Wells sampled by the Department of Pesticide Regulation (DPR) groundwater program.WDL: Wells in the Department of Water Resources (DWR) water quality sampling network in their water data library.LLNL: Wells sampled for groundwater age, isotopes, or noble gas for the GAMA Program by Lawrence Livermore National Laboratory (LLNL).NWIS: Wells sampled by the USGS and accessible via the National Water Information System (NWIS).UC Davis: Location of wells gathered from multiple local entities for use in the UC Davis Nitrate Report, under agreement with the GAMA Program.LOCALGW: Wells sampled under various local groundwater projects. As of July 30, 2019, this only includes the domestic sampling completed by the Central Coast Regional Water Quality Control Board. ‘GAMA_LOCALGW: Wells sampled under local groundwater projects, generally sampled from private wells from various private and governmental organizations. Data was submitted through the GAMA Data Connection Portal.The field, GM_DATASET_NAME can also help explain the source of the dataset.The corresponding map image layer for these well locations can be found at the following link: All Wells on the GAMA Groundwater Information System - Overview (ca.gov)Direct any questions to: GAMA@waterboards.ca.gov.
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Coding instructions used to identify marine geographic locations. Likely reference for Current Data library.
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This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on known details at the time of acquisition.
Mean monthly flow (ML/month) and Annual flow (ML/yr) data at key gauges in the Macalister Irrigation District (MID) as monitored by SRW. The data are provided in MS Excel format in worksheets and charts.
Data used to produce Time-series drainage volume data provided by a third party. Site information and monitoring drainage flow data provided by the Southern Rural Water are specific to the Macalister Irrigation District.
Time specific data in the range 23/07/1997 to 31/12/2013
This dialogue has been copied from a draft of the BA-GIP report.
A total of 197 river gauges were identified within the model area representing all of the major rivers. Daily gauge level data was sourced from the Victorian Department of Environment, Land, Water and Planning Water Measurement Information System (WMIS, 2015). A list of the river gauges is provided in the report for key river basins
Only main stems of the major rivers were included in the model. These river reaches were identified using the DEPI hydro25 spatial data set (DEPI, 2014). The river classification was used to vary river incision depth (depth below the ground surface as defined by the digital elevation model) and width attributes. In the absence of recorded stage height information, river classification was used to estimate river stage heights. A total of 22,573 river cells are included in the model. Fifty-one gauges were selected to calibrate the catchment modelling framework in unregulated catchments based on Base Flow Indexes and observed stream flows.
Drainage channels and man-made drainage features in the Macalister Irrigation District (MID) were included in the model based on available drainage network mapping. This information was sourced from Southern Rural Water (SRW) and the DEPI Corporate Spatial Data library. Drainage cells are assigned to the uppermost cells within the model to capture groundwater discharge processes. Drain cells in Modflow can only act as groundwater discharge points and as such those cells outside drainage channels will be characterised as having a bed elevation equivalent to ground surface elevation. A total of 410,504 drainage cells are incorporated in the model. Apart from 3 river gauges sourced from the WMIS, SRW also has 15 gauges monitored drainage from the MID. The measurements commenced between 1997 and 2005. Of the 15 gauges, six were selected to calibrate the catchment modelling framework based on observed discharge.
Victorian Department of Economic Development, Jobs, Transport and Resources (2015) Mean monthly flow & annual flow data - Macalister Irrigation District. Bioregional Assessment Source Dataset. Viewed 05 October 2018, http://data.bioregionalassessments.gov.au/dataset/6ba89d78-1e42-4e02-bd5c-a435ee15bef4.
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TwitterA dataset within the Harmonized Database of Western U.S. Water Rights (HarDWR). For a detailed description of the database, please see the meta-record v2.0. Changelog v2.0 - Switched source data from collecting records from each state independently to using the WestDAAT dataset v1.0 - Initial public release Description In order to hold a water right in the western United States, an entity, (e.g., an individual, corporation, municipality, sovereign government, or non-profit) must register a physical document with the state's water regulatory agency. State water agencies each maintain their own database containing all registered water right documents within the state, along with relevant metadata such as the point of diversion and place of use of the water. All western U.S. states have digitized their individual water rights databases, as well as geospatial data defining the areas in which water rights are managed. Each state maintains and provides their own water rights data in accordance with individual state regulations and standards. In addition, while all states make their water rights publicly available, each provides their records in unique formats, meaning that file types, field availability, and terms vary from state to state. This leads to additional challenges to managing resources which cross state lines, or conducting consistent multi-state water analyses. For the first version of HarDWR, we collected the water rights databases from 11 Western States of the United States. In order to preform regional analyses with the collected data, the raw records had to be harmonized into one single format. The Water Data Exchange (WaDE) is a program dedicated to the sharing of water-related data for the Western U.S. in a singular consistent format. Created by the Western States Water Council (WSWC) to facilitate the collection and dissemination of water data among WSWC's member states and the public, WaDE provides an important service for those interested in water resource planning and management in their focus region. Of the services which WaDE provides, the one of the most interesting is the WestDAAT dataset, which is a collection of water rights data provided by the 18 WSWC member states that have been standardized into a single format, much like we had done on a more limited scale with HarDWR v1. For this version of HarDWR we decided to use WestDAAT, specifically a snapshot created in Feburary 2024, as our water rights source data. A full explanation of the benefits gained from this switch can be found in the description of the updated Harmonized Water Rights Records v2.0, but in short it has allowed us to focus more of our efforts on answering research questions and gaining a more realistic understanding of how water rights are allocated. For more information on how the data for WestDAAT was collected, please see the WaDE data summary. Terms of Use While WaDE works directly with the state agencies to collect and standardize the water rights records, the ultimate authority for the water rights data remains the individual states. Each state, and their respective water right authorities, have made their water right records available for non-commercial reference uses. In addition, the states make no guarantees as to the completeness, accuracy, or timeliness of their respective databases, let alone the modifications which we, the authors of this paper, have made to the collected records. None of the states should be held liable for using this data outside of its intended use. As several of the states update their water rights databases daily, the information provided here is not the latest possible, and should not be used for legal purposes. WestDAAT itself has irregular updates. Additional questions about the data the source states provided should be directed to the respective state agencies (see methods.csv and organization.csv files described below). In addition, although data was presented here was not collected directly from the states, several states requested specifically worked disclaimers when sharing their data. These disclaimers are included here as an acknowledgement from where the water rights data is primarily sourced. Colorado: "The data made available here has been modified for use from its original source, which is the State of Colorado. THE STATE OF COLORADO MAKES NO REPRESENTATIONS OR WARRANTY AS TO THE COMPLETENESS, ACCURACY, TIMELINESS, OR CONTENT OF ANY DATA MADE AVAILABLE THROUGH THIS SITE. THE STATE OF COLORADO EXPRESSLY DISCLAIMS ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING ANY IMPLIED WARRANTIES OF MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the Web feed is being used at one's own risk." Montana: "The Montana State Library provides this product/service for informational purposes only. The Library did not produce it for, nor is it suitable for legal, engineering, or surveying purposes. Consumers of this information should review or consult the primary data and information sources to ascertain the viability of the information for their purposes. The Library provides these data in good faith but does not represent or warrant its accuracy, adequacy, or completeness. In no event shall the Library be liable for any incorrect results or analysis; any direct, indirect, special, or consequential damages to any party; or any lost profits arising out of or in connection with the use or the inability to use the data or the services provided. The Library makes these data and services available as a convenience to the public, and for no other purpose. The Library reserves the right to change or revise published data and/or services at any time." Oregon: "This product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information." File Descriptions The unmodified February, 2024 WestDAAT snapshot is composed of nine files. Below is a brief description of each file, as well as how they were utilized for HarDWR. WaDEDataDictionaryTerms.xlsx: As the file's name implies, this is a data dictionary for all of the below named files. This file describes the column names for each of the following files, with the exception of citation.txt which does not have any columns. The descriptions for each file are divided by tab,with the same name as their associated file, within this document. allocationamount.csv: The "main" file of the group, it contains the water right records for each state. Of particular note, each water right is broken down into one or more water allocations. Allocations may be withdrawn from one or more locations, or even multiple allocations associated with a particular location. This is a more subtle and realistic representation of how water is used than what was available in the first version of HarDWR. For the records from some states, this can mean that multiple allocations listed under a single right will appear as rows within this file. citation.txt: A combination of contact information for WaDE personnel, disclaimer about how the data should be used, and guidelines for citing WestDAAT. methods.csv: A file describing the source and method by which WaDE collected water rights data from each state. organization.csv: A file listing the water rights authoritative agencies for each state. sites.csv: This file provides the geographic, and other descriptors, of the physical location of allocations, called 'sites'. To reiterate, it is possible for one allocation to be associated with multiple sites, as well as one site to be associated with multiple allocations. The two descriptors which we were most interested in where the site's coordinates, as well as whether the site was classified as a Point of Diversion (POD) or a Place of Use (POU). As a general rule, PODs are geographic points, while POUs are areas typically represented as property boundaries or irregularly shaped polygons. sites_pouGeometry.csv: For those allocations with a POU site, this file contains the defining points for the associated polygons. variables.csv: A file describing the units in which an allocation's water amount is reported within WestDAAT. This information is essentially a repeat of the 'AllocationFlow_CFS' and 'AllocationVolume_AF' columns within allocationamount.csv, at least for our purposes. watersources: This file describes the source of water from which each site extracts from. For our purposes, this table was used to determine whether the water came from Surface Water, Groundwater, or Unspecified Water.
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TwitterData collected from 35 Arctic stations including tritium, depth, ice fraction/Atlantic fraction, river runoff, delta oxygen 18, salinity, silicate, and potential temperature.
See: "http://ingrid.ldeo.columbia.edu/SOURCES/.ARCTIC/.STATION/"
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TwitterThe Lamont-Doherty Deep-Sea Sample Repository, located in the Core Laboratory at the Lamont-Doherty Earth Observatory (LDEO) of Columbia University, contains archived sediment cores from every major world ocean and sea. The Core Repository contains approximately 72,000 meters of core composed of 9,700 piston cores; 7,000 trigger weight cores; and 1,500 other cores such as box, kasten, and large diameter gravity cores. There are also 4,000 dredge and grab samples including a large collection of manganese nodules, and many samples recovered by submersibles.
The core sample can be searched through the Deep-Sea Core Database at the LDEO/IRI Climate Data Library for coordinates of the site, water depth, topography, core length or dredge size, sample device, date and time of retrieval. "http://ingrid.ldgo.columbia.edu/SOURCES/.LDEO/.Deep_Sea_Core.cuf/"
Data on the cores is stored at NOAA/National Gephysical Data Center (NGDC) Marine Geology and Geophysics (MGG): "http://www.ngdc.noaa.gov:80/mgg/curator/curator.html"
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This python notebook demonstrates a simple method for retrieving time series data from the Amazon Web Services (AWS) archive of the U.S. National Water Model retrospective streamflow forecasts for one or more reach id's (also known as COMIDs) for a specified date range. Note that this notebook uses the 42-year (February 1979 through December 2020) retrospective simulation using version 2.1 of the National Water Model. The AWS archive and description of the data can be found here: https://registry.opendata.aws/nwm-archive/. This notebook uses the xarray library to connect to the data store as an anonymous user. The connection results in a zarr store from which data can be extracted using the method shown in the script. This method is not optimized for parallel computing so it will be slow if you specify a lot of reach ids. The results are written to a local CSV file that can be opened in Excel or another spreadsheet. There are many optimizations that can be done to improve data access, but this notebook is intentionally simple for the novice user who is trying to work with National Water Model retrospective data stored in AWS.
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TwitterThis dataset derives from the RWDB_SWB-PY shapefile data layer which covers the entire globe and is comprised of 8750 derivative vector framework library features derived based on 1:3,000,000 data originally from RWDBII. The original dataset is an enhanced SWB polygonal derivative based on 4 separate RWDB2 Library layers. The layer provides nominal analytical/mapping at 1:3,000,000. Acronyms and Abbreviations: RWDB2 or RWDB II- Relational World Database II SWB - Surface Water Body
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TwitterStations and a table of download links for time-series data, from DWR's continuous environmental monitoring database. For more information, see DWR's Water Data Library, continuous data section: https://wdl.water.ca.gov/ContinuousData.aspx, where this data is also available.