AndreaBozzo/ceres-open-data-index huggingface dataset:
NCUA Central Liquidity Facility Collateral Margins Table

The Central Liquidity Facility (CLF) is a mixed-ownership government corporation, the Central Liquidity Facility (CLF) was created to improve the general financial stability of credit unions by serving as a liquidity lender to credit unions experiencing unusual or unexpected liquidity shortfalls. Member credit unions own the CLF, which exists within the NCUA. The collateral margins table identifies the amount of assets needed to secure a CLF loan.

Tags: central-liquidity-facility, clf, collateral-margins, credit-unions, data-on-credit-unions, ncua
Organization: National Credit Union Administration NCUA
Impaired Lake 2006

<p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 303(d) Impaired Waters 2006 is a subset of Connecticut 305(b) Assessed Waters 2006. If any one of the assigned designated uses is categorized as NOT Supporting, the assessed waterbody is included in this subset and is considered impaired. Additional information about Integrated Water Quality reporting is available on the CT DEEP website, <a href='https://portal.ct.gov/DEEP/Water/Water-Quality/Water-Quality-305b-Report-to-Congress' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>Integrated Water Quality Report</a> page. </font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 305(b) Assessed Waters files includes rivers, lakes and estuaries that have been assessed in compliance with Sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) of the Clean Water Act requires each state to monitor, assess and report on the quality of its waters relative to attainment of designated uses established by the State's water quality standards. Section 303(d) requires each State to compile a subset of that list identifying only those waters not meeting water quality standards and assign a Total Maximum Daily Load (TMDL) priority ranking to each impaired waterbody.</font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>This assessment is based on information collected and compiled prior to 2006. It represents conditions at a particular point in time and does not represent current conditions. Depending on the type of waterbody - river, lake, or estuary - this information geographically displays attainment and non-attainment (e.g. full supporting, not supporting, not assessed) for each designated use - aquatic life, marine aquatic life, recreation use, fish consumption, shellfish harvesting, and drinking water supply.</font></p>

Tags: 2006, connecticut, ct, ctdeep, deep, estuary, impaired, lake, river
Organization: State of Connecticut
MTA 2025-2029 Capital Plan ACEP Projects

The MTA Capital Program is comprised of a series of five-year capital investment plans. These capital plans describe the capital investments—or projects—to which the MTA will commit funding over a specified five-year period. This dataset encompasses the investments described in the 2025-2029 Capital Plan, which follows the 2020-2024 Capital Plan and precedes the future 2030-2034 Capital Plan.

Tags: asset-conditions, bridges-tunnels, bt, bus, capital-plan, capital-program, cd, construction-development, lirr, long-island-rail-road, metro-north, metro-north-railroad, mnr, mta-bridges-tunnels, mta-bus, mta-construction-development, mta-pd, mta-police, mta-police-department, mtabc, needs-assessment, new-york-city-transit, nyct, projects, sir, staten-island-railway, subway
Organization: State of New York
Tree Canopy

An Assessment of Existing and Potential Tree Canopy in Loudoun County, Virginia.<div><br /><div>The <a href='https://pg-cloud.com/LoudounCountyVA/' style='box-sizing:border-box;' target='_blank' rel='nofollow ugc noopener noreferrer'>interactive TreePlotter Canopy Mapping Tool</a> illustrates how tree canopy coverage is distributed across Loudoun County and provides analysis options to help prioritize future activities.</div></div><div><br /></div><div><a href='https://support.treeplotter.com/' target='_blank' rel='nofollow ugc noopener noreferrer'>TreePlotter Support</a></div>

Tags: environmental, open-data, planning, tree-canopy, zoning
Organization: Loudoun County, Virginia
Impaired 2018 River, Lake, Estuary Set

<p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 303(d) Impaired Waters 2018 is a subset of Connecticut 305(b) Assessed Waters 2018. If any one of the assigned designated uses is categorized as NOT Supporting, the assessed waterbody is included in this subset and is considered impaired. Additional information about Integrated Water Quality reporting is available on the CT DEEP website, <a href='https://portal.ct.gov/DEEP/Water/Water-Quality/Water-Quality-305b-Report-to-Congress' style='color:rgb(0, 121, 193); text-decoration-line:none; font-family:inherit;' rel='nofollow ugc'>Integrated Water Quality Report</a> page. </font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>Connecticut 305(b) Assessed Waters files includes rivers, lakes and estuaries that have been assessed in compliance with Sections 305(b) and 303(d) of the federal Clean Water Act. Section 305(b) of the Clean Water Act requires each state to monitor, assess and report on the quality of its waters relative to attainment of designated uses established by the State's water quality standards. Section 303(d) requires each State to compile a subset of that list identifying only those waters not meeting water quality standards and assign a Total Maximum Daily Load (TMDL) priority ranking to each impaired waterbody.</font></p><p style='margin-top:0px; margin-bottom:1.5rem; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;'><font size='2' style='font-family:inherit;'>This assessment is based on information collected and compiled prior to 2018. It represents conditions at a particular point in time and does not represent current conditions. Depending on the type of waterbody - river, lake, or estuary - this information geographically displays attainment and non-attainment (e.g. full supporting, not supporting, not assessed) for each designated use - aquatic life, marine aquatic life, recreation use, fish consumption, shellfish harvesting, and drinking water supply.</font></p>

Tags: 2018, connecticut, ct, ctdeep, deep, estuary, impaired, lake, river, set
Organization: State of Connecticut
DSNY Other Organics Collection Tonnages

Annual tons of food scraps dropped off at Green Markets and nonprofit partners. Also includes deliveries of organics such as leaf and wood wastes to nonprofit partners. In FY 2021, DSNY suspended its collection of food scraps from Green Markets due to COVID and COVID-related budget cuts. In FY 2021, nonprofit partners started to haul their own organic material.
</br>
<ul style="line-height:1.7em;">
<li>For DSNY monthly tonnages collected curbside by DSNY vehicles, see: <a href="https://data.cityofnewyork.us/City-Government/DSNY-Monthly-Tonnage-Data/ebb7-mvp5" target="_blank" rel="noopener noreferrer">https://data.cityofnewyork.us/City-Government/DSNY-Monthly-Tonnage-Data/ebb7-mvp5</a>. </li>
<li>Visit <a href="https://www.nyc.gov/site/dsny/collection/residents/food-scrap-drop-off.page" target="_blank" rel="noopener noreferrer"> https://www.nyc.gov/site/dsny/collection/residents/food-scrap-drop-off.pages</a> for food scrap drop-off updates. </li>
<li>For more information about NYC's organics collection programs, see: <a href="https://www.nyc.gov/site/dsny/collection/residents/curbside-composting.page" target="_blank" rel="noopener noreferrer">https://www.nyc.gov/site/dsny/collection/residents/curbside-composting.page</a>.</li>
</ul>

Tags: drop-off, dsny, food-scrap, leaf, organics, wood-waste
Organization: City of New York
DSNY Organics Collection Participation

The number of NYC households, residential buildings, and new schools receiving curbside organics collection, by Fiscal Year that collection began. As of October 2024, curbside composting service is available to all NYC residents. For more information, visit: <a href="https://nyc.gov/curbsidecomposting" rel="noopener noreferrer">https://nyc.gov/curbsidecomposting</a>. Note that Curbside Composting service was suspended from May 4, 2020 until October 1, 2021.

Tags: collection, dsny, households, organics, schools
Organization: City of New York
Geologic map of the Mount Edgecumbe volcanic field, Kruzof Island, southeastern Alaska

Geologic map of the Mount Edgecumbe volcanic field, Kruzof Island, southeastern Alaska, Miscellaneous Investigations Series Map 1983, provides 1:63,360 geologic mapping of the Mount Edgecumbe volcanic field, Kruzof Island, southeastern Alaska. This map was published by the USGS and has been scanned, digitized, and attributed by DGGS staff. The dataset contains geologic, structural, stratigraphic, and geochronologic data organized according to the GeMS and AK GeMS mapping schemas. The geodatabase and ESRI fonts and style files are available from the DGGS website: https://dggs.alaska.gov/pubs/id/12922.

Tags: active volcanoes, adamellite, alluvial, andesite, apatite, argillite, bare island, basalt, beaver point, bedrock, bedrock geology, brady island, breccia, cape edgecumbe, coastal, contact, crab bay, crater ridge, cretaceous, cuvacan cove, dacite, degroff bay, dome, double island, edgecumbe, engano point, erosion, erratics, escape cape, freds creek, gems db l3 compliant, gems db v1pt1, generalized, geochemistry, geochronology, geologic, geologic hazards, geologic map, geological process, geology, glacial, glass, goleta cove, goloi island, granite, granodiorite, gravel, graywacke, guide island, hayward strait, holocene, inner point, iris creek, iris meadows, kamenoi point, krestof sound, kruzof island, lava flow, lava island, liesnoi island, low island, magoun islands, mica, mills island, mount edgecumbe, mountain point, mud bay, neva bay, pacific ocean, pebble, plagioclase, pleistocene, plutonic, point brown, point mary, port krestof, port mary, rhyolite, rob point, rocks, saint lazaria islands, sand, scoria, shelikof bay, shelikof creek, shell mountain, shoals point, silica, silt, sitka, sitka point, sitka sound, slaughter island, slope, southeast alaska, surface, surficial, tertiary, till, trubitsin point, tuff, vitskari island, vitskari rocks, volcanic, volcanic rocks, volcaniclastic deposits, volcaniclastics, volcanoes, volcanology
Organization: State of Alaska
Renewable Energy Potential Model: Priority Geothermal Leasing Areas ReEDs Results

This dataset contains the results of a study conducted by the National Renewable Energy Laboratory (NREL) to identify potential future priority geothermal leasing areas on Bureau of Land Management (BLM) and United States Forest Service (USFS) lands. The analysis uses the Regional Energy Deployment System (ReEDS) model to evaluate geothermal resource potential under different scenarios of resource depth and technology combinations through the year 2050. The study considers geothermal resource potential, natural resource conflicts, and transmission access to categorize areas into near, mid, and far deployment priorities.

The dataset includes outputs from the ReEDS model, such as geothermal capacity, generation, system costs, and emissions under various economic and technical scenarios. Favorability site data with geographic coordinates and site-specific attributes (e.g., resource favorability, land type) are also provided. Supporting resources include a technical report detailing methodologies and assumptions, along with a link to the ReEDS model GitHub repository, which requires GAMS and Python software for execution.

Tags: blm, emissions, energy, feasibility, gams, generation, geothermal, geothermal-capacity, geothermal-leasing-areas, github, model-results, modeling, natural-resource-conflicts, priority-leasing, processed-data, python, reeds, renewable-energy-potential-model, resource-potential, system-cost, technical-report, technology-combination, transmission, usfs
Organization: Department of Energy
Renewable Energy Potential Model: Hawaii Geothermal Supply Curves

This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (EGS) at a depth of 2.5 km and hydrothermal binary systems at a depth of 1.5 km. The resource data for both scenarios were derived from Lautze and Haskins (2024) using an exponential method. The PFA probability of heat map was used as a look up table for which temperature gradient to use (Lautze and Haskins, 2024).

The dataset provides geospatial and techno-economic details for evaluating geothermal energy potential. It includes spatial coordinates, estimated capacity factors, developable area, resource potential, and annual energy production metrics. Economic details such as levelized cost of electricity (LCOE), site development costs, transmission costs, and fixed-charge rates are also included. The reV model, originally developed for wind and solar energy, incorporates these variables to evaluate deployment constraints related to land use, environmental and cultural factors, and grid integration.

Tags: binary-egs, binary-hydrothermal, capital-cost, development, egs, energy, feasibility, geospatial, geothermal, geothermal-location, grid-connection, hawaii, heat-map, hydrothermal, lcoe, levelized-cost-of-energy, model, model-results, pfa, play-fairway, production-metrics, rev, simulation, supply-curve, supply-curves, transmission
Organization: Department of Energy
1996 Fall East Coast NOAA/NASA  Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected from 1996-2000 and covers the states of South Carolina, North Carolina, Maryland, and Virginia.
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the
earth's surface through a port opening in the bottom of the aircraft's fuselage. The laser system records the
time difference between emission of the laser beam and the reception of the reflected laser signal in the
aircraft. The aircraft travels over the beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: bathymetry/seafloor topography, beach, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, land surface, lidar, maryland, national ocean service, noaa, north america, north carolina, oceans, office of coastal management, seafloor topography, south carolina, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, virginia
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
EGS Collab Experiment 2: Microseismic Monitoring

This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to study and validate models of geothermal systems by injecting high-pressure fluids into rock formations 1200-1500 meters below the surface, inducing microseismic events. The seismic monitoring system included 16 three-component accelerometers and a 24-channel hydrophone array, installed in boreholes surrounding the test area. Data were recorded at high sampling rates using a continuous waveform recording system to monitor seismic activity in real time.

The dataset contains the raw data stored in binary format, with files named based on timestamps, and includes calibration certificates for some sensors to facilitate corrections to real units. Users are strongly advised to consult the accompanying detailed report, which outlines the experimental setup, sensor specifications, installation procedures, and data processing methods. The report also describes important nuances, such as the hardware filters on hydrophones, sensor calibration details, and the naming conventions for the recorded data. Proper use of this dataset may require familiarity with seismic data analysis tools, such as the Obspy Python package, and an understanding of the SEED naming conventions used for channel identification.

Tags: 3c, accelerometer, binary, borehole-array, circulation, continuous-seismic, continuous-waveform, egs-collab, energy, geophysics, geothermal, hydrophone, microseismic, microseismicity, obspy, raw-data, seed, stimulation, surf, technical-report, waveform
Organization: Department of Energy
Bedrock Geology

Bedrock Geology Set is a 1:50,000-scale, polygon and line feature-based layer describing the solid material that underlies the soil or other unconsolidated material of the earth for Connecticut. Bedrock geologic formations are described as polygons in terms of formation name (incorporating geologic age), rock type, and tectonic terrane association. Tectonic forces are responsible for the present day geologic configuration of the continents. Resulting terranes are regionally fault bounded rocks of a similar tectonic history. Each terrane is named after its plate tectonics ancestry. Geologic lines include contacts, faults, and terrane boundaries. Terrane boundaries are named for the faults involved. The geologic contacts and faults are delineated and classified by type. Polygon feature attribute information is comprised of codes to identify individual bedrock geologic units, their formation name, description and size. Line feature attributes identify, name and describe bedrock contacts, faults and terrane boundaries between these bedrock geologic units. Data is compiled at 1:50,000 scale and is not updated. A complete description of the bedrock mapping units with mineralogical descriptions and a brief history of Connecticut geology are included in the Supplemental Information Section for reference.

Connecticut Bedrock Geology is a 1:50,000-scale, polygon and line feature-based layer describing the solid material that underlies the soil or other unconsolidated material of the earth for Connecticut. Bedrock geologic formations are described as polygons in terms of formation name (incorporating geologic age), rock type, and tectonic terrane association. Tectonic forces are responsible for the present day geologic configuration of the continents. Resulting terranes are regionally fault bounded rocks of a similar tectonic history. Each terrane is named after its plate tectonics ancestry. Geologic lines include contacts, faults, and terrane boundaries. Terrane boundaries are named for the faults involved. The geologic contacts and faults are delineated and classified by type. Polygon feature attribute information is comprised of codes to identify individual bedrock geologic units, their formation name, description and size. Line feature attributes identify, name and describe bedrock contacts, faults and terrane boundaries between these bedrock geologic units. Data is compiled at 1:50,000 scale and is not updated. A complete description of the bedrock mapping units with mineralogical descriptions and a brief history of Connecticut geology are included in the Supplemental Information Section for reference.

Tags: bedrock, boundaries, connecticut, ct, ctdeep, deep, geology, geoscience, ma, massachusetts, new-jersey, new-york, nj, ny, rhode-island, ri, set
Organization: State of Connecticut
Utah FORGE: Well 16B(78)-32 Drill Core Fracture  Analysis Images and Data

This dataset contains drilling core data from well 16B(78)-32, including PDF documents with flattened core images annotated by feature type and core interval, as well as spreadsheets detailing feature morphologies by depth, planar feature measurements, and planar feature orientations rotated to in situ conditions. Core was recovered from three intervals, one per stimulation stage, in the crystalline rocks affected by the stimulation of well 16A(78)-32. Seven core runs were conducted, yielding 135.8 feet of recovered core.

Features in the core were categorized into planar fractures, semi-planar fractures, unbroken mineralized fractures, rough fractures, curviplanar fractures, concave-convex surfaces, and planar compositional features such as mylonite or dike-like structures. Planar features were measured while the core was positioned horizontally, with the core axis aligned to a downhole azimuth of 42 degrees.

Planar core measurements from stimulations 2 and 3 that could be confidently correlated with FMI data were rotated to in situ orientations. This was done by rotating the planes along vertical and horizontal axes to match the azimuth and inclination data recorded in the directional survey of well 16B(78)-32, as well as applying an axial rotation to resemble the fracture orientations observed in the FMI log at corresponding depths. Coherent sets of planar fracture measurements were made by aligning the core within each 3-foot section of the dissected core barrel, and between adjacent 3-foot sections within a core run by matching rock fabrics, saw cuts and/or tool marks. Where coherent fracture measurements could not be made within a core run, data sets are denoted by a subscript (i.e. 2-Ta and 2-Tb both come from tangent core run number 2).


Tags: 16b78-32, 16b78-32-core, core, core-fracture-analysis, core-images, core-measurements, crystalline-rock, drill-core-fracture-analysis, drilling-core, drilling-core-data, egs, energy, feature-morphology, fmi, fracture-characterization, fracture-stages, geothermal, imaging, planar-features, stimulation, utah-forge, well-16b78-32, well-16b78-32-core, well-16b78-32-core-fracture-analysis
Organization: Department of Energy