AndreaBozzo/ceres-open-data-index huggingface dataset:
Socioeconomic and water needs indicators along the Cambodia and Vietnam border, within the Mekong River Delta

This data release documents socioeconomic water-needs indicators estimated for the Mekong River delta region. The Mekong River provides many valuable benefits to the 60 million Southeast Asian residents living in its Basin. Maintaining adequate supplies of water in the Mekong River Basin is vital for food security. However, the Mekong River Basin is increasingly stressed by infrastructure development, growing water demands, and land cover change, in addition to climate change. Freshwater demands and the capacity to respond to changing resource availability were estimated to assess vulnerability to changes in water availability in provinces of the Mekong River delta region along the Cambodia-Vietnam border. Water demands related to agriculture, livestock, and domestic uses were estimated to understand risk of water scarcity in relation to agricultural livelihoods. Following an existing adaptive capacity framework, estimates of asset base, knowledge and learning, flexibility, social organization, and agency were calculated at the province level.

Tags: cambodia, environment, farming, inlandwaters, mekong, southeast-asia, usgs-63efad78d34efa0476b03842, vietnam, water-supply-and-demand, water-use
Organization: Department of the Interior
Data for Estimating Peak-Flow Quantiles for Selected Annual Exceedance Probabilities in Illinois

The U.S. Geological Survey Central Midwest Water Science Center completed a report (Over and others, 2023) documenting the methods, results, and applications of an updated flood-frequency study for the State of Illinois. This data release contains data related to the analysis completed to determine peak-flow quantiles (flood frequency estimates) at streamgages in Illinois for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs), as well as data used to develop regional regression equations that relate the peak-flow quantiles and the basin characteristics of selected streamgages in Illinois, Indiana, and Wisconsin, based on data through water year 2017 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example water year 2017 was from October 1, 2016 to September 30, 2017). There is one set of equations for each of Illinois’ seven hydrologic regions, and, for each region, one equation for each AEP. These regional equations allow the estimation of peak-flow quantiles at ungaged locations throughout the state and their uncertainties. This data release contains a figure of the study area in addition to seven tables that provide both input data and results in tabular format. See metadata for detailed information.

Tags: floods, hydrology, illinois, indiana, inlandwaters, regression-analysis, stream-discharge, streamflow, usgs-63ee898ad34efa0476afab4a, wisconsin
Organization: Department of the Interior
Field Data for an Evaluation of Sensors for Continuous Monitoring of Harmful Algal Blooms in the Finger Lakes Region, New York, 2018 - 2020

This U.S. Geological Survey (USGS) data release contains meteorological, water temperature, light (photosynthetically active radiation and illumination), and multichannel fluorescence sensor data from the Finger Lakes Region of New York, during the fall of 2018 and the summer and fall of 2019 and 2020. It also includes all sensor data and associated discrete sample data, at the near surface (top), mid-depth (middle) and near bottom (bottom) depths. Data were collected from three Advanced Monitoring Pilot study platforms in open water at Seneca Lake (USGS station number 425027076564401), Owasco Lake (USGS station number 425327076313601), and Skaneateles Lake (USGS station number 425606076251601) in 2018 and 2019, and in Seneca Lake and Owasco Lake in 2020
The dataset includes laboratory-measured chlorophyll-a, nitrate plus nitrite, dissolved organic carbon, biovolume of cyanobacteria, biovolume of green/brown algae, biovolume of phycoerythrin-containing phytoplankton, biovolume of other phytoplankton, biovolume of total phytoplankton, and sensor-measured chlorophyll concentration from cyanobacteria, chlorophyll concentration from mixed phytoplankton, total chlorophyll concentration, chlorophyll concentration from green/brown algae, percent green/brown algae, percent cyanobacteria, percent mixed phytoplankton, dissolved organic matter relative fluorescence, fluorescent dissolved organic matter concentration, water temperature, specific conductance, dissolved oxygen, pH, chlorophyll relative fluorescence, fluorescent chlorophyll concentration, phycocyanin relative fluorescence, fluorescent phycocyanin concentration, orthophosphate, turbidity, nitrate plus nitrite, illumination, wind speed and direction, air temperature, precipitation and photosynthetically active radiation.

Tags: air-temperature, biota, cayuga, cortland, field-inventory-and-monitoring, field-monitoring-stations, new-york, onondaga, ontario, phytoplankton, precipitation-atmospheric, schuyler, seneca, usgs-63ed59e2d34efa0476af4f6b, water-quality, water-temperature, wind, yates
Organization: Department of the Interior
Status and trends of adult Lost River (Deltistes luxatus) and shortnose (Chasmistes brevirostris) sucker populations in Upper Klamath Lake, Oregon, 2023

Data were collected as part of a long-term capture-recapture program to assess the population dynamics of two long-lived, federally endangered catostomids in Upper Klamath Lake, Oregon. Lost River suckers (LRS; Deltistes luxatus) and shortnose suckers (SNS; Chasmistes brevirostris) have been captured and tagged with passive integrated transponder (PIT) tags during their spawning migrations in each year since 1995. Cormack-Jolly-Seber (CJS) open population capture-recapture models were used to estimate annual survival probabilities, and a reverse-time analog of the CJS model was used to estimate recruitment of new individuals into the spawning population. In addition, data on the size composition of captured fish were examined to provide corroborating evidence of recruitment. Separate analyses were done for each species and also for each subpopulation of LRS (i.e., lake and river spawners). Model estimates of survival and recruitment were used to derive estimates of changes in population size over time and to determine the status of the populations through 2022.  Model estimates of survival, recruitment, and size composition are provided along with accompanying R code and input data.

Tags: biota, demographic-rates, ecology, endangered-species, suckers, usgs-63ebfd80d34efa0476af2330
Organization: Department of the Interior
Sample details and near-real-time ED-XRF, grain size, and grain shape data collected during the November – December 2022 eruption of Mauna Loa volcano, Island of Hawaiʻi

At 11:21 p.m. (Hawaii Standard Time [HST]) on November 27, 2022, Mauna Loa volcano on the Island of Hawaiʻi started erupting from fissures at its summit caldera, Mokuʻāweoweo. This was followed shortly afterwards by the opening of a segment of fissures in the direction of the Southwest Rift Zone. These were mostly within the structural boundary of the caldera, so their location is denoted as ‘South Caldera,’ with the exception of a short fissure that extended into the uppermost Southwest Rift Zone. By November 28, activity had shifted to four fissures that opened in the upper Northeast Rift Zone (Lynn and others, 2023). By December 2, eruptive activity was focused from Northeast Rift Zone fissure 3A supplying lava flows that extended approximately 19 kilometers (12 miles) down slope to the north by the end of the eruption (Dietterich and others, 2023). Eruptive activity abruptly waned on December 8, with all activity ceasing by December 10.
The U.S. Geological Survey’s Hawaiian Volcano Observatory (HVO) collected a total of 87 samples, of which 73 samples were collected during the eruption as water-quenched (for molten material) or air-quenched samples from fissures, channels, lava flow margins, and lava flow fronts. Fifty-four of the 73 samples collected during the eruption were analyzed by energy dispersive X-ray fluorescence (ED-XRF) spectrometry for major-oxide and trace-element abundances at the University of Hawaiʻi at Hilo, as a part of near-real-time petrologic and geochemical monitoring (Gansecki and others, 2019). Additionally, 15 tephra samples collected during the eruption were run on a Microtrac CAMSIZER® P4 instrument for grain size and shape data in the HVO tephra lab. Most samples were analyzed by these methods within 24–48 hours of collection. Sample collection and near-real-time analyses are a part of HVO’s monitoring and response efforts.

Tags: biota, chemical-analyses, grain-shape, grain-size, island-of-hawaii, lava-flow, mauna-loa, tephra, usgs-63ebfbb7d34efa0476af231f, volcanic-activity, volcanic-fissure, volcano-monitoring, volcanology
Organization: Department of the Interior
National Land Cover Database Commonwealth of Puerto Rico Land Cover Layer

The base Land Cover data layer for the Commonwealth of Puerto Rico was produced by the International Institute of Tropical Forestry(IITF) and crosswalked to NLCD classes, with additional crop type modeling conducted by the National Oceanic and Atmospheric Administration (NOAA).  This original base data layer is available at http://fsgeodata.fs.fed.us/rastergateway/
An additional link for the publication associated with this work is http://tropicalforestry.net/Members/ehelmer/caribbean-vegetation-and-land-cover
The full reference for this work is Kennaway, T., and E. H. Helmer. 2007. The forest types and ages cleared for land development in Puerto Rico. GIScience and Remote Sensing 44:356-382.
NLCD data layers are made through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium.  The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS).  One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land cover Database (NLCD) circa 2001 for the United States at medium spatial resolution.  This landcover map and all documents pertaining to it are considered "provisional"  until a formal accuracy assessment can be conducted.  For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2004) and http://www.mrlc.gov/mrlc2k.asp.
The NLCD 2001 is created by partitioning the U.S. into mapping zones.  A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edge matching features and the size requirement of Landsat mosaics.  The Commonwealth of Puerto Rico encompasses the territory of Puerto Rico.  Questions about the NLCD landcover layer for the Commonwealth of Puerto Rico can be directed to the NLCD 2001 land cover mapping team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.

Tags: base-maps, commonwealth-of-puerto-rico, digital-spatial-data, earth-cover, gis, imagery, land-cover, pr, u-s, u-s-geological-survey, united-states, us, usgs, usgs-63ebf4f8d34efa0476af22fd
Organization: Department of the Interior
National Land Cover Database Hawaiian Zone Land Cover Layer

The National Land Cover Database 2001 land cover layer for The Hawaiian mapping zone was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium.  The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS).  One of the primary goals of the project is to generate a current, consistent, seamless, and accurate National Land cover Database (NLCD) circa 2001 for the United States at medium spatial resolution.  This landcover map and all documents pertaining to it are considered "provisional"  until a formal accuracy assessment can be conducted.  For a detailed definition and discussion on MRLC and the NLCD 2001 products, refer to Homer et al. (2004) and http://www.mrlc.gov/mrlc2k.asp.
The NLCD 2001 is created by partitioning the U.S. into mapping zones.  A total of 66 mapping zones were delineated within the conterminous U.S. based on ecoregion and geographical characteristics, edge matching features and the size requirement of Landsat mosaics.  The Hawaiian Mapping zone encompasses the state of Hawaii.  Questions about the NLCD Hawaiian mapping zone can be directed to the NLCD 2001 land cover mapping team at the USGS/EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov.

Tags: base-maps, digital-spatial-data, earth-cover, gis, hawaii, hawaiian-mapping-zone, hi, imagery, land-cover, u-s, u-s-geological-survey, united-states, us, usgs, usgs-63ebf42ed34efa0476af22f6
Organization: Department of the Interior
National Land Cover Database (NLCD) 2001 Land Cover - Alaska (ver. 2.0, July 2020)

This update to the Alaska National Land Cover Database (NLCD) 2016 replaces the files dated 20200213.  In this update the landcover footprint was extended along the northern coast to include the islands that were missed in previous versions, and several duplicate roads (offset by 1 or 2 pixels) were removed on the Aleutian Islands. The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover classification, with the largest of these being a very short “leaf on” imagery season for acceptable phenology. This is compounded by persistent cloud cover during this growing season, and increasing terrain shadow and sun angle problems outside of this season.  For this reason, the timeframe of 10 years was needed for the first update to the Alaska land cover in order to have enough acceptable imagery between these 2001 and 2011 nominal dates that met these criteria in order to provide reasonable change detection. For 2016, there was not enough complete path row imagery to do this similar change detection. Google Earth engine was employed to create a composite imagery mosaic that uses much smaller pieces of Landsat imagery to create a complete Landsat imagery snapshot used to create change detection between 2011 and 2016. Although this composite technique is not as scientifically rigorous as utilizing direct Landsat imagery, it was the only method available to us during production that would allow completion of change detection in the desired five year timeframe.
The original published 2001 and 2011 Alaska NLCD classifications are generally unchanged, except for slight updates in the northern part of the state to remove perennial ice and snow that were a result of lack of suitable imagery in the 2001 timeframe representing minimum snow and ice extent. See the 2001 and 2011 Land Cover products for the specific metadata process steps associated with the creation of those datasets.

Tags: ak, alaska, digital-spatial-data, gis, imagerybasemapsearthcover, land-cover, land-use-land-cover-theme, national-geospatial-data-asset, ngda, u-s, u-s-geological-survey, united-states, us, usgs, usgs-63ebf29bd34efa0476af22f3
Organization: Department of the Interior
National Land Cover Database (NLCD) 2011 Land Cover - Alaska (ver. 2.0, July 2020)

This update to the Alaska National Land Cover Database (NLCD) 2016 replaces the files dated 20200213.  In this update the landcover footprint was extended along the northern coast to include the islands that were missed in previous versions, and several duplicate roads (offset by 1 or 2 pixels) were removed on the Aleutian Islands. The Alaska National Land Cover Database 2016 was created using change detection between the nominal dates of 2011 and 2016 utilizing Google Earth engine composites of Landsat imagery. Traditionally, previous classifications of Alaska used path row data and spectral comparisons between path rows along with ancillary data to derive areas of change. Alaska has many challenges for land cover classification, with the largest of these being a very short “leaf on” imagery season for acceptable phenology. This is compounded by persistent cloud cover during this growing season, and increasing terrain shadow and sun angle problems outside of this season.  For this reason, the timeframe of 10 years was needed for the first update to the Alaska land cover in order to have enough acceptable imagery between these 2001 and 2011 nominal dates that met these criteria in order to provide reasonable change detection. For 2016, there was not enough complete path row imagery to do this similar change detection. Google Earth engine was employed to create a composite imagery mosaic that uses much smaller pieces of Landsat imagery to create a complete Landsat imagery snapshot used to create change detection between 2011 and 2016. Although this composite technique is not as scientifically rigorous as utilizing direct Landsat imagery, it was the only method available to us during production that would allow completion of change detection in the desired five year timeframe.
The original published 2001 and 2011 Alaska NLCD classifications are generally unchanged, except for slight updates in the northern part of the state to remove perennial ice and snow that were a result of lack of suitable imagery in the 2001 timeframe representing minimum snow and ice extent. See the 2001 and 2011 Land Cover products for the specific metadata process steps associated with the creation of those datasets.

Tags: ak, alaska, digital-spatial-data, gis, imagerybasemapsearthcover, land-cover, u-s, u-s-geological-survey, united-states, us, usgs, usgs-63ebf11ad34efa0476af22f0
Organization: Department of the Interior
Saskatchewan Ministry of Energy and Resources Reservoir Data (1963 – 1998)

Saskatchewan Ministry of Energy and Resources Reservoir Data (1963 – 1998) was obtained from the Saskatchewan Ministry of Energy and Resources in 2000 and was used in a historical and potential reserve growth study completed by Mahendra Verma and Mitchell Henry, U.S. Geological Survey. It is a collection of manually entered historical oil and gas reservoir data from 1963 – 1983, and digital copies of historical oil and gas reservoir data from the period of 1984 – 1998.  The database was assembled from an Excel spreadsheet initially, then normalized and formatted in Microsoft Access as three separate tables of data (saskatch_reservoir_dissolved, saskatch_reservoir_gas, saskatch_reservoir_oil)
“Historical and Potential Reserve Growth in Oil and Gas Pools in Saskatchewan" Mahendra K. Verma and Mitchell E. (2004) 
Database Details
Historical oil and gas data: 1963-1998
Hard Copy: 1963-1983 (manually entered)
Digital data: 1984-1998 (digitally transformed from floppy disk files)
Data Format:
1963-1977: American oilfield units
1978-1998: Metric units
Retained all data; converted to oilfield units

Tags: energy-resources, location, natural-gas-resources, oil-resources, petroleum, province-of-saskatchewan, usgs-63ebcdd7d34efa0476af2062
Organization: Department of the Interior
Chirp seismic reflection data- shotpoints, tracklines, profile images, and SEG-Y traces for EdgeTech 3400 chirp data collected during USGS field activity 2022-001-FA (point and polyline shapefiles, CSV text, PNG Images, and SEGY data, GCS WGS 84)

In June 2022, the U.S. Geological Survey, in collaboration with the Massachusetts Office of Coastal Zone Management, collected high-resolution geophysical data, in Nantucket Sound to understand the regional geology in the vicinity of Horseshoe Shoal. This effort is part of a long-term collaboration between the USGS and the Commonwealth of Massachusetts to map the State’s waters, support research on the Quaternary evolution of coastal Massachusetts, resolve the influence of sea-level change and sediment supply on coastal evolution, and strengthen efforts to understand the type, distribution, and quality of subtidal marine habitats. This collaboration produces high-resolution geologic data that serve the needs of research, management and the public. Data collected as part of this mapping cooperative continue to be released in a series of USGS Open-File Reports and Data Releases https://www.usgs.gov/centers/whcmsc/science/geologic-mapping-massachusetts-seafloor.

Tags: 3400, atlantic-margin, atlantic-ocean, chirp, cmhrp, coastal-and-marine-hazards-and-resources-program, czm, department-of-the-interior, doi, edgetech, eldridge-shoal, field-activity-number-2022-001-fa, geoscientificinformation, geospatial-datasets, horseshoe-shoal, image, location, marine-geology, marine-geophysics, massachusetts, massachusetts-office-of-coastal-zone-management, massczm, nantucket-sound, navigational-data, oceans, png, r-v-rafael, sea-floor, seafloor, seg-y-traces, seismic-navigation, seismic-profile, seismic-reflection, seismic-reflection-methods, shapefile, sub-bottom-profiling, succonnesset-shoal, trackline-navigation, u-s-geological-survey, united-states-of-america, usgs, usgs-63eba63ed34efa0476af1fad, whcmsc, woods-hole-coastal-and-marine-science-center, wreck-shoal
Organization: Department of the Interior
Sound Velocity Profiles collected in Nantucket Sound Massachusetts in the vicinity of Horseshoe Shoal, during USGS Field Activity 2022-001-FA using AML-3 LGR or AML Minos-X CTDSV sensors (PNG images, SVP text, and ESRI point shapefile, GCS WGS 84)

In June 2022, the U.S. Geological Survey, in collaboration with the Massachusetts Office of Coastal Zone Management, collected high-resolution geophysical data, in Nantucket Sound to understand the regional geology in the vicinity of Horseshoe Shoal. This effort is part of a long-term collaboration between the USGS and the Commonwealth of Massachusetts to map the State’s waters, support research on the Quaternary evolution of coastal Massachusetts, resolve the influence of sea-level change and sediment supply on coastal evolution, and strengthen efforts to understand the type, distribution, and quality of subtidal marine habitats. This collaboration produces high-resolution geologic data that serve the needs of research, management, and the public. Data collected as part of this mapping cooperative continue to be released in a series of USGS Open-File Reports and Data Releases https://www.usgs.gov/centers/whcmsc/science/geologic-mapping-massachusetts-seafloor.

Tags: aml-3-lgr, aml-minos-x, atlantic-ocean, cmhrp, coastal-and-marine-hazards-and-resources-program, ctdsv, czm, department-of-the-interior, doi, eldridge-shoal, elevation, field-activity-number-2022-001-fa, geoscientificinformation, horseshoe-shoal, location, marine-geology, marine-geophysics, massachusetts, massachusetts-office-of-coastal-zone-management, massczm, nantucket-sound, navigational-data, ocean-sciences, profiles, r-v-rafael, shapefile, sound-speed-profile, sound-velocity, sound-velocity-profile, ssp, succonnesset-shoal, svp, t20-p, u-s-geological-survey, united-states-of-america, usgs, usgs-63eba5fcd34efa0476af1fa5, whcmsc, woods-hole-coastal-and-marine-science-center, wreck-shoal
Organization: Department of the Interior