AndreaBozzo/ceres-open-data-index huggingface dataset:
Del Norte Salamander Range - CWHR A010 [ds1139]

<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (</SPAN><A href="https://www.wildlife.ca.gov/Data/CWHR" STYLE="text-decoration:underline;"><SPAN>https://www.wildlife.ca.gov/Data/CWHR</SPAN></A><SPAN>). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.</SPAN></SPAN></P></DIV></DIV></DIV>

Tags: amphibian, auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-del-norte-salamander, ds1139_20160218_wm, habitat, natural-resources, sn-plethodon-elongatus, species, wildlife
Organization: State of California
IWFM-IDC Users Group Meeting (12/13/2018)

Presentations given in the IWFM-IDC Users Group Meeting held on December 13, 2018. Bay-Delta Office of DWR develops, maintains and provides technical support on the Integrated Water Flow Model (IWFM) and IWFM Demand Calculator (IDC). As part of the technical support, a users group meeting is organized once a year, where the developers and users share news and their experiences related to IWFM and IDC.

Tags: c2vsim, california-department-of-water-resources, idc, iwfm, modeling, sgma
Organization: State of California
Elk Creek Seismic Waveforms 2012 (Part 18 of 20)

Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.
 
This is download 45 of 48 and corresponds to the time range between November 12, 2012, and November 26, 2012.

Tags: industry
Organization: U.S. Department of Health & Human Services
Aspen Characteristics - Aspen Delineation Project [ds361]

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The database represents point locations and associated stand assessment data collected within aspen stands in the Lake Tahoe Basin Management Unit (Placer and Eldorado Counties); Alturas Field Office-BLM (Modoc County); California Tahoe Conservancy (Placer and Eldorado Counties), the Stanislaus National Forest (Tuolumne County); Humboldt-Toiyabe National Forest(Alpine County); and Tahoe National Forest (Nevada and Sierra Counties); and the California Department of Fish and Game (Modoc County). This is a multi-agency contributed dataset gathered by the agencies listed above during the summers of 2001-2005. Assessment data and GIS delineations were collected using a standardized protocol developed by members of the Aspen Delineation Project, a cooperative project of the US Forest Service, the Bureau of Land Management and the California Department of Fish and Game. Surveying was completed by foot surveys of watersheds surveyed. This is the current completed data set for aspen distribution of land administered by these agencies. Data captures location of aspen stands and vegetative characteristics of the aspen stand, and if browsing of the aspen was present or absent. Also associated with this database is a polygon layer (ADP_POLY) containing aspen stands delineated in conjunction with the aspen assessment information. Data Compilation: The Aspen Delineation Project (ADP) is a collaborative effort of the U.S. Forest Service's Pacific Southwest Region, the California Department of Fish and Games Resource Assessment Program, and the California Office of Bureau of Land Management. Principal Investigator for ADP is David Burton; visit: www.aspensite.org for more information regarding the ADP. The Department of Fish and Games, Resource Assessment Program compiled this information from the collaborating agencies and other researchers, and formatted the data into a common database for the purpose of facilitating access to data related to the conservation of Quaking Aspen in California. This information portal falls within the ADP goals to help agencies and land managers identify, map, treat, and monitor aspen habitats. This dataset is a portion of a master database compiled during a year long effort in 2005 to pull together current GIS layers and maps depicting Aspen communities in California.</SPAN></P></DIV></DIV>

Tags: aspen-delineation-project, auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-quaking-aspen, distribution, ds0361_20071217_wm, inventory, management, montane-forests, planning, plant, sn-populus-tremuloides, stand, tree, vegetation-characteristics
Organization: State of California
Utility Renewable Generation by Type and County: 2020

<span style='font-family:&quot;Avenir Next&quot;, &quot;Avenir Next&quot;; font-size:16px;'>Energy generation data and map are from the California Energy Commission and include utility scale power plants. Plants of any type below 1 MW (e.g. rooftop solar)are not included. Hydroelectric plants of 30 MW and less are considered renewable energy sources in California. Hydroelectric plants over 30 MW are non-renewable. Counties without pie symbols had no utility scale renewable electric generation for the year. Data is for 2020 and is current as of July 18, 2022. Projection: NAD 1983 (2011) California (Teale) Albers (Meters). For more information, contact Rebecca Vail at (916) 477-0738 or John Hingtgen at 916) 510-9747.</span>

Tags: california-energy-commission, california-natural-resources-agency, caopendata, ead
Organization: State of California
Predicted Nearshore Benthic Substrates of California - R7 - CDFW [ds3091]

This dataset uses rugosity measurements collected during the California Seafloor Mapping Project (CSMP) as a proxy to classify benthic habitat as either Hard or Soft. While originally developed for MPA planning and MLPA implementation, this dataset provides a comprehensive estimate of benthic habitat for California waters. Two versions of this data are available:Statewide mosaic raster of all data resampled at 10m (shown here). Vector format for visualization and analysis. Substrate classifications are binned into depth ranges and 1 degree latitude/longitude grids.

Tags: auth_cdfw, benthic-habitat, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, ds3091_20230420_wm, habitat, marine, substrate
Organization: State of California
Utility Hydroelectric Generation by Size and County: 2022

Energy generation data and map are from the California Energy Commission for all power plants that have a nameplate capacity of 1MW or more. Small hydroelectric plants are designated as a renewable energy source if their nameplate capacity is more than 30MW, it is classified as a large hydroelectric plant. Counties without symbols either did not report data or had no utility-scale hydroelectric power generation. Data is from 2022 and is current as of July 10, 2023.

Tags: california-energy-commission, california-natural-resources-agency, caopendata, ead, pdf
Organization: State of California
Vegetation - Central Mojave Desert [ds166]

<DIV STYLE="text-align:Left;"><DIV><P><SPAN>The Department of Defense and the other desert managers are developing and organizing scientific information needed to better manage the natural resources of the Mojave Desert. One product from this endeavor is the Central Mojave Vegetation Map (developed by US Dept of Interior, USGS Western Ecological Research Center and Southwest Biological Science Center) that displays vegetation and other land cover types in the eastern Mojave of California. Map labels represent alliances and groups of alliances as described by the U.S. National Vegetation Classification. The nominal minimum mapping unit is 5 hectares. Each map unit is labeled by a primary land cover type and a secondary type where applicable. In addition, the source of data for labeling each map unit is also identified in the attribute table for each map unit. Data were developed using field visits, 1:32,000 aerial photography, SPOT satellite imagery, and predictive modeling.</SPAN></P></DIV></DIV>

Tags: auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, distribution, ds0166_20051011_wm, habitat-attributes, inventory, management, planning, vegetation
Organization: State of California
Habitat Rapid Assessment Survey - 2016 - Terrestrial Species Stressor Monitoring [ds2827]

<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Vegetation surveys were conducted at all Great Valley and Mojave Desert study sites between May and July 2016. These surveys followed the California Native Plant Society/Department of Fish and Wildlife protocol for vegetation rapid assessment and were representative of either the lifeform for which the survey site was selected or the dominant vegetation type encountered on site, if the preassigned lifeform is not found. The rapid assessment sample was based not on a plot but on a single representative stand with 12-20 of the dominant or characteristic species and their cover values recorded. The CDFW Vegetation Classification and Mapping Program reviewed and confirmed or corrected all field assessments herein. </SPAN></P></DIV></DIV></DIV>

Tags: amphibian, auth_cdfw, bat, biodiversity, bird, california, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, central-valley, drought, ds2827_20190626_wm, environment, great-valley, habitat, mojave-desert, reptile, terrestrial-species-stressor-monitoring, tsm, vegetation
Organization: State of California
Elk Creek Seismic Waveforms 2011 (Part 3 of 19)

Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.
 
This is download 11 of 48 and corresponds to the time range between January 17, 2010, and January 24, 2011.

Tags: industry
Organization: U.S. Department of Health & Human Services
Elk Creek Seismic Waveforms 2012 (Part 8 of 20)

Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.
 
This is download 35 of 48 and corresponds to the time range between May 28, 2012, and July 16, 2012.

Tags: industry
Organization: U.S. Department of Health & Human Services
Elk Creek Seismic Waveforms 2012 (Part 1 of 20)

Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.
 
This is download 28 of 48 and corresponds to the time range between January 2, 2012, and February 20, 2012.

Tags: industry
Organization: U.S. Department of Health & Human Services
Utility Natural Gas Capacity and Generation by Jurisdiction and County: 2024

<div>Power plant capacity data and map are from the California Energy Commission.</div><div>The CEC licenses thermal power plants 50 megawatts (MW) and greater and</div><div>the infrastructure serving the plants such as electric transmission lines, fuel</div><div>supply lines, and water pipelines. These licensed plants are referred to as</div><div>jurisdictional plants. This map depicts the capacity of CEC-licensed</div><div>(jurisdictional) natural gas power plants and non-jurisdictional natural gas</div><div>plants. Counties without symbols had no natural gas power plants. Data is from</div><div>2024 and is current as of May 29, 2025. Projection: NAD 1983 (2011) California</div><div>(Teale) Albers (Meters). For more information, contact John Hingtgen at</div><div>john.hingtgen@energy.ca.gov.</div>

Tags: california-energy-commission, california-natural-resources-agency, caopendata, ead, pdf
Organization: State of California
Elk Creek Seismic Waveforms 2010 (Part 5 of 7)

Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.
 
This is download 6 of 48 and corresponds to the time range between November 29, 2010, and December 6, 2010.

Tags: industry
Organization: U.S. Department of Health & Human Services
Elk Creek Seismic Waveforms 2012 (Part 20 of 20)

Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.
 
This is download 47 of 48 and corresponds to the time range between December 10, 2012, and December 31, 2012.

Tags: industry
Organization: U.S. Department of Health & Human Services
Western Gray Squirrel Habitat Model for NSNF Connectivity - CDFW [ds1053]

The Maxent modeling algorithm was used to build the species distribution model at 270 m spatial resolution using species occurrence points and environmental layers as predictors (Phillips et al. 2006). Species occurrence points were primarily obtained from CNDDB (California Natural Diversity Database) and other CDFW sources, GBIF (Global Biodiversity Information Facility), PRBO (Point Blue Conservation Science) and Arctos museum databases. Vegetation, distance to water, elevation, and bioclimatic variables (Franklin et al. 2013) were used as predictor variables. The models were run at 270 m spatial resolution with five replications using cross-validation as a method of sample evaluation. Cross-validation involved the partitioning of the sample data into n subsets, fitting the models to n-1subsets, and testing the model on the one subset not used in fitting the model. Initial model runs showed that our models converged around 2,000 iterations and for this reason we ran all models with 2,500 maximum iterations. Maxent was implemented in R using the ‘dismo''package (Hijmans et al. 2011). Model evaluation was carried out using the ‘PresenceAbsence''package in R (Freeman and Moisen 2008). We used AUC as a metric to evaluate model performance. The package also computes threshold values using several accuracy metrics to translate predicted probability maps into binary suitable and unsuitable habitats. We selected the MeanProb, a threshold set based on the mean predicted probability of species occurrences. The output from Maxent are grid datasets in a multiband ‘tif''format with one band for each replication. We averaged the five replicated maps and created a mean grid for each species. The grid was then symbolized to represent low (threshold-50), medium (50-75) and high (75-100) habitat suitability, with pixel values that are below the threshold excluded. Models were reviewed by CDFW species experts; please review the use limitations.For more information see the project report at [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=85358].

Tags: auth_cdfw, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-western-gray-squirrel, connectivity-modeling, ds1053_20141006_wm, habitat-modeling, mammal, sn-sciurus-griseus
Organization: State of California
Spotted Towhee Habitat Model for NSNF Connectivity - CDFW [ds1052]

This grid represents habitat suitability based on the California Wildlife Habitat Relationships (CWHR) expert opinion habitat suitability rankings by habitat type. Habitat suitability rankings (ranging 0-100) for each combination of habitat type, size class (dbh) and cover class (density) were applied to the 30 m vegetation grid using CWHRs Bioview. These values were then averaged across grid cells to create a 270 m grid consistent with that used in the Maxent models for the project. The grid was then symbolized to represent low (0-50), medium (50-75) and high (75-100) habitat suitability. Models were reviewed by CDFW species experts; please review the use limitations.For more information see the project report at [https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=85358].

Tags: auth_cdfw, bird, california-department-of-fish-and-wildlife, california-natural-resources-agency, caopendata, cdfw, cn-spotted-towhee, connectivity-modeling, ds1052_20141006_wm, habitat-modeling, sn-pipilo-maculatus
Organization: State of California
Elk Creek Seismic Waveforms 2010 (Part 7 of 7)

Coal bursts (damaging seismic events in underground coal mines) pose a substantial threat to operations and mine workers. The underground coal mines in Colorado’s North Fork Valley (NFV) have experienced many coal bursts, often with distinct characteristics from those of other US coal mining regions. To better understand these events and manage their associated risks, the National Institute for Occupational Safety and Health undertook a long-term monitoring campaign at the Elk Creek Mine in the NFV. The monitoring efforts included a seismic network composed of both surface and underground sensors, borehole pressure cells (BPCs), instrumented support Cans, convergence monitors, ground condition surveys, and several other data sources. This dataset consists of the event waveform files from the seismic network for the 983,379 events that were detected during the monitoring campaign. The waveforms are stored in HDF5 files that are broken up by week. Within the HDF5 files, the data are organized by station id, event time, and channel. The amplitudes are velocity in meters/second.
 
This is download 8 of 48 and corresponds to the time range between December 13, 2010, and January 3, 2011.

Tags: industry
Organization: U.S. Department of Health & Human Services