AndreaBozzo/ceres-open-data-index huggingface dataset:
School Neighborhood Poverty Estimates, 2018-19

<div style='text-align:Left;'><div><div><p style='margin:0px;'>The 2018-2019 School Neighborhood Poverty Estimates are based on school locations from the 2018-2019 Common Core of Data (CCD) school file and income data from families with children ages 5 to 17 in the U.S. Census Bureau’s 2015-2019 American Community Survey (ACS) 5-year collection. The ACS is a continuous household survey that collects social, demographic, economic, and housing information from the population in the United States each month. The Census Bureau calculates the income-to-poverty ratio (IPR) based on money income reported for families relative to the poverty thresholds, which are determined based on the family size and structure. Noncash benefits (such as food stamps and housing subsidies) are excluded, as are capital gains and losses. The IPR is the percentage of family income that is above or below the federal poverty level. The IPR indicator ranges from 0 to a top-coded value of 999. A family with income at the poverty threshold has an IPR value of 100. The estimates in this file reflect the IPR for the neighborhoods around schools which may be different from the neighborhood conditions of students enrolled in schools.</p><p style='margin:0px;'><br /></p><p style='font-weight:bold; margin:0 0 0 0;'><span></span></p><p style='margin:0 0 11 0;'><span>All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.</span></p></div></div></div>

Tags: ccd, common-core-of-data, ipr, national-center-for-education-statistics, nces, side, spatially-interpolated-demographic-estimates
Organization: Department of Education
School Neighborhood Poverty Estimates, 2020-21

The 2020-2021 School Neighborhood Poverty Estimates are based on school locations from the 2020-2021 Common Core of Data (CCD) school file and income data from families with children ages 5 to 17 in the U.S. Census Bureau’s 2017-2021 American Community Survey (ACS) 5-year collection. The ACS is a continuous household survey that collects social, demographic, economic, and housing information from the population in the United States each month. The Census Bureau calculates the income-to-poverty ratio (IPR) based on money income reported for families relative to the poverty thresholds, which are determined based on the family size and structure. Noncash benefits (such as food stamps and housing subsidies) are excluded, as are capital gains and losses. The IPR is the percentage of family income that is above or below the federal poverty level. The IPR indicator ranges from 0 to a top-coded value of 999. A family with income at the poverty threshold has an IPR value of 100. The estimates in this file reflect the IPR for the neighborhoods around schools which may be different from the neighborhood conditions of students enrolled in schools.<p style='margin-top:0px; margin-bottom:0px; 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;'><br /></p><p style='margin-top:0px; margin-bottom:0px; 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-weight:bold;'><span style='font-family:inherit;'></span></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;'><span style='font-family:inherit;'>All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.</span></p>

Tags: ccd, common-core-of-data, ipr, national-center-for-education-statistics, nces, side, spatially-interpolated-demographic-estimates
Organization: Department of Education
Considering Monitoring Well Bias in the Delineation of Benzene Plume Lengths (Repository)

This is a link to the GitHub repository, which houses code to generate the analyses described in "Considering Monitoring Well Bias in the Delineation of Benzene Plume Lengths", published in the journal of environmental engineering (2024). The journal article can be found at: https://ascelibrary.org/doi/full/10.1061/JOEEDU.EEENG-7589

Tags: benzene, groundwater-contamination, leaking-underground-storage-tanks
Organization: U.S. Environmental Protection Agency
PCB Noncancer Effects Evidence Map

Supporting data for the peer reviewed manuscript "A systematic evidence map for the evaluation of noncancer health effects and exposures to polychlorinated biphenyl mixtures" and the accompanying government report "A Systematic Evidence Map of Noncancer Health Endpoints and Exposures to Polychlorinated Biphenyl (PCB) Mixtures". 

This dataset is associated with the following publications:
Carlson, L., K. Christensen, S. Sagiv, P. Rajan, C. Klocke, P. Lein, E. Coffman, R. Shaffer, E. Yost, X. Arzuaga Andino, P. Factor-Litvak, A. Sergeev, M. Toborek, M. Bloom, J. Trgovcich, T. Jusko, L. Robertson, J. Meeker, A. Keating, R. Blain, R. Silva, S. Snow, C. Lin, K. Shipkowski, B. Ingle, and G. Lehmann. A Systematic Evidence Map for The Evaluation of Noncancer Health Effects and Exposures to Polychlorinated Biphenyl Mixtures.   ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam,  NETHERLANDS, 220: 115148, (2023).
Carlson, L., G. Lehmann, E. Yost, B. Ingle, E. Coffman, K. Christensen, R. Shaffer, J. Trgovcich, S. Sagiv, P. Rajan, C. Klocke, P. Lein, A. Sergeev, M. Bloom, M. Toborek, L. Robertson, T. Jusko, J. Meeker, A. Keating, C. Lin, K. Shipkowski, and R. Silva. Systematic Evidence of Noncancer Health Effects of PCB Mixtures. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.

Tags: hazard-identification, mixture, polychlorinated-biphenyl, systematic-evidence-map, systematic-review
Organization: U.S. Environmental Protection Agency
H20 disinfection_Science Hub_2022

Dataset used to generate tables/figures demonstrating the effects of water disinfection on allergic hypersensitivity and dermal irritation. 

This dataset is associated with the following publication:
Lehmann, D., M. Armstrong, W. Williams, C. Postigo, and J. Simmons. Assessing the skin irritation and sensitizing potential of concentrates of water chlorinated in the presence of iodinated X-ray contrast media.   TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 480: 153335, (2022).

Tags: allergic-hypersensitivity, chlorination, dermal-irritation, iodinated-x-ray-contrast-media, local-lymph-node-assay, skin-sensitization, water
Organization: U.S. Environmental Protection Agency
Stable isotope data for Ammonium loss microbiologically mediated by Fe(III) and Mn(IV) reduction along a coastal lagoon system

These data are carbon and nitrogen content and stable isotope measurements of sediments from a lagoon in the Baja California Peninsula. The %N column gives the percent nitrogen, the delta-15-NAir column gives the stable isotope value of the nitrogen (using per mil units), the %CTotal column gives the total carbon content of the sediment while the %C Organic gives the amount of organic carbon in the sediment. The delta-13C Organic column gives the stable isotope value of the organic carbon in the sediment. 

This dataset is associated with the following publication:
Samperio-Ramos, G., O. Hernandez-Sanchez, V.F. Camacho-Ibar, S. Pajares, A. Gutierrez, J.M. Sandoval-Gil, M. Reyes, S. De Gyves, S. Balint, A. Oczkowski, S.J. Ponce-Jahen, and F.J. Cervantes. Ammonium loss microbiologically mediated by Fe(III) and Mn(IV) reduction along a coastal lagoon system.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 349: 140933, (2024).

Tags: ammonium, carbon, nitrogen, stable-isotope
Organization: U.S. Environmental Protection Agency
Upland vegetation removal as a potential tool for facilitating landward salt marsh migration

Raw upland and marsh plant species data for different habitats and zones on Prudence Island. The ecotone elevation tab contains the year of observation, habitat, treatment, transect, and elevation measures. The plant tabs contain the plant data and associated habitat and zone. This dataset is not publicly accessible because: Non-EPA data and owned by RI National Estuarine Research Reserve. Research data are maintained and held at the RI National Estuarine Research Reserve. Point of contact: 
Kenneth B. Raposa, Ph.D.
Research Coordinator
Narragansett Bay NERR
PO Box 151, Prudence Island RI 02872
401.683.7849
kenneth.raposa@dem.ri.gov
Distribution of the data is at the discretion of the lead author and lead analyst who is an external partner, Kenny Raposa (RINERR). It can be accessed through the following means: Contact Dr. Raposa for access to non EPA data:
  
Kenneth B. Raposa, Ph.D.
Research Coordinator
Narragansett Bay NERR
PO Box 151, Prudence Island RI 02872
401.683.7849
kenneth.raposa@dem.ri.gov
Distribution of the data is at the discretion of the lead author and lead analyst who is an external partner, Kenny Raposa (RINERR). Format: Dataset title: Plant&Elevation_for_Sheep_Pen_marsh.xls (208 KB)
Raw upland and marsh plant species data for different habitats and zones. The ecotone elevation tab contains the year of observation, habitat, treatment, transect, and elevation measures. The plant tabs contain the plant data and associated habitat and zone.

Meta data tab within the EXCEL file.
 
Abbreviations used in the plant tabs
Junger- Juncus gerardii
Disspi- Distichlis spicata
Ivafru- Iva frutescens
Phraus- Phragmites australis
Spapat- Spartina patens
Spaalt- Spartina alterniflora
Bacham-Baccharis halimifolia
Spapec-Spartina pectinata
Schame- Schoenoplectus americanus
Sal spp.- Salicornia species
Schpun- Schoenoplectus pungens
Solsem- Solidago sempervirens

Keywords: marsh plants, marsh migration, elevation
Elevation is in units of m NAVD88



Tags: elevation, marsh-migration, marsh-plants
Organization: U.S. Environmental Protection Agency
Data, code, and documents supporting the manuscript entitled, "Comparing fluorometric methods ( in vivo vs extracted) for cyanoHAB monitoring in six Rhode Island ponds"

This GitHub repository contains the data and code used in a study to compare the accuracy and precision of  several handheld and benchtop fluorometers at meausuring chlorophyll and phycocyanin.

Tags: cell-counts, chlorophyll, cyanobacteria, fluorometry, phycocyanin
Organization: U.S. Environmental Protection Agency
This land is your land, this could be marsh land: Property parcel characteristics of marsh migration corridors in Rhode Island, USA

Datasets referenced in "This land is your land, this could be marsh land: Property parcel characteristics of marsh migration corridors in Rhode Island, USA". This dataset is not publicly accessible because: Parcel data is commercially available as referenced in the paper and the SLAAM models are available at the referenced location in the manuscript. It can be accessed through the following means: Request to author and purchased through provider. Format: XLSX and GEOTIFF. 

This dataset is associated with the following publication:
Burman, E., N. Merrill, K. Mulvaney, M. Bradley, and C. Wigand. This land is your land, this could be marsh land: Property parcel characteristics of marsh migration corridors in Rhode Island, USA.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 351(February 2024): 119657, (2024).

Tags: coastal-marsh, future-sea-level-rise, parcels
Organization: U.S. Environmental Protection Agency
Fantastic wetlands and why to monitor them: Demonstrating the social and financial benefit potential of methane abatement through salt marsh restoration

Datasets, tables and spreadsheets used in the production of this paper. This includes salinity measurements from partners, our calculations of greenhouse gas mitigation from changes in salinity based on the logic presented in the paper. Portions of this dataset are inaccessible because: Already with the supplementary information of the paper. They can be accessed through the following means: https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000317#sec020. Format: XLSX, DOCX. 

This dataset is associated with the following publication:
Reilly, A.V., N.H. Merrill, K.K. Mulvaney, P. Colarusso, and E. Burman. Fantastic wetlands and why to monitor them: Demonstrating the social and financial benefit potential of methane abatement through salt marsh restoration.   PLOS Climate. Public Library of Science, San Francisco, CA, USA, 3(7): e0000317, (2024).

Tags: greenhouse-gas-mitigation, marsh, salinity
Organization: U.S. Environmental Protection Agency
LPMA Hot Water

This dataset contains the molecular occurrence and concentration of Legionella pneumophila, M. avium, M. intracellulare and M. abscessus by structure type. Portions of this dataset are inaccessible because: This data set will have a second paper that is not written yet. Please hold off publishing the data set until the second paper is published. They can be accessed through the following means: This data will be accessible via Science Hub at a later date. Format: Molecular Data. 

This dataset is associated with the following publication:
Donohue, M., J. Mistry, N. Tucker, and S. Vesper. Hot Water in Residences and Office Buildings Have Distinctive Legionella pneumophila Contamination Risk. . (ed.), INTERNATIONAL JOURNAL OF HYGIENE AND ENVIRONMENTAL HEALTH. Elsevier B.V., Amsterdam,  NETHERLANDS, 245: 114023, (2022).

Tags: legionella-opportunistic-pathogen-tapwater-shower-water-qpcr
Organization: U.S. Environmental Protection Agency
CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); PRIA, PAL; Long: -162.10289, Lat: 05.88463 (WGS84); Sensor Depth: 1.00m; Data Range: 20080401-20100410.

CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc., www.seabird.com); PAR, UV305 nm, UV330 nm and UV380 nm (Biospherical BIC2104U) at 1 m (nominal) below the water line and air temperature (R.M Young Model 41342); barometric pressure (Heise DXD); wind vectors (Vaisala WAS425A); PAR, UV305 nm, UV330 nm and UV380 nm (Biospherical BIC2104R) at 2 m (nominal) above the water line. A compass (KVH C100 SE-25) is used in the calculation of wind direction and a GPS system provides geolocation. This metadata record refers to the dataset uploaded from the SBE37-SM sea surface temperature and conductivity recorder. When a CREWS buoy is recovered, another one is typically deployed in the same place. Time series data combining multiple deployments from a given site may also be available. Please contact CRED with any questions. For program information see the web site https://www.fisheries.noaa.gov/pacific-islands/ecosystems/coral-reefs-pacific

Tags: 1219, biosphere, bleaching, central pacific ocean, coastal processes, conductivity, coral diseases, coral reef early warning system (crews) enhanced buoy, coral reef ecosystem division (cred), coral reef watch-physical and biological monitoring of u.s. pacific islands, coral reefs, corals, coris_metadata, country/territory, crews (coral reef early warning system), density, earth science, in situ physical, instrumented buoy, line islands, moored, mooring, noaa pacific islands fisheries science center, numeric data sets, ocean basin, ocean circulation, ocean temperature, oceanographic, oceanography, oceans, pacific ocean, pacific remote island areas, pal_ocean_001, palmyra atoll, palmyra atoll (05n162w0001), pria, reef assessment and monitoring program (ramp), reef monitoring and assessment, salinity, salinity/density, sea surface temperature, sea surface temperature (sst), seabird sbe37-sm microcat c-t recorder, united states of america, upwelling, usa minor outlying islands, water temperature, zoology
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Percent Coverage

The Percent Coverage is a spreadsheet that keeps track of and compares the number of vessels that have departed with and without observers to the numbers of vessels that have departed with observers and is updated weekly or bi-weekly.

Tags: american samoa longline observer program, date, departed, doc/noaa/nmfs/piro, national marine fisheries service, noaa, non-environmental data, observed, pacific islands regional office, percent coverage, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Field station locations and data for the geologic map of the Haines-Takshanuk Mountains-Chilkat Peninsula area STATEMAP project, southeast Alaska, collected in 2022 and 2023

Field station locations and data for the geologic map of the Haines-Takshanuk Mountains-Chilkat Peninsula area STATEMAP project, southeast Alaska, collected in 2022 and 2023, Raw Data File 2024-17, provides locations and field descriptions of stations observed during fieldwork in portions of the Skagway A-1, A-2, B-1, B-2, B-3, and the Juneau D-4 15-minute quadrangles, an area of approximately 300 square miles. During July 2022, May 2023, and August 2023, geologists from the Alaska Division of Geological & Geophysical Surveys (DGGS) conducted fieldwork supporting surficial and bedrock mapping for the Haines-Takshanuk Mountains-Chilkat Peninsula area STATEMAP project. This publication serves as an archive of field site observations and supports research discussion and collaboration. These data and report are available from the DGGS website: http://doi.org/10.14509/31285.

Tags: actinolite, alaska, alluvial, amphibolite, aplite, argillite, basalt, battery point, bedrock, bedrock geology, breccia, chert, chilkat river, chilkoot river, chlorite, conglomerate, cretaceous, dalasuga island, deshu isthmus, devils punch bowl, dggs, diabase, diopside, diorite, dok point, epidote, false battery point, feldspar, felsic, ferebee river, ferebee valley, fossils, garnet, geology, gneiss, gravina-nutzotin belt, halutu ridge, haska creek, iron mountain, johnson creek, jualin mine, juneau mining district, kalhagu cove, kasidaya creek, kelgaya bay, kelgaya point, kicking horse river, kootznahoo formation, lehunua point, letnikof cove, lily lake, low point, ludaseska creek, mesozoic, metamorphic minerals, metamorphic rocks, metamorphism, metasedimentary rocks, metavolcanic rocks, mink creek, monzogranite, monzonite, mount harding, mount villard, mud bay, nukdik point, outcrop samples, paleozoic, paradise cove, plutonic rocks, quaternary, regional metamorphism, rustabach lake, sample location, seduction point, shakuseyi creek, sherman creek, silurian, statemap project, surface, surficial, surficial geology, takhin river, takshanuk mountains, tanani point, tanani village, tertiary, triassic, tukgahgo mountain, ultramafic, unconsolidated deposits, vanderbilt point, yindastuki, zimovia point
Organization: State of Alaska
Major oxide and trace element analyses for rock samples from the Haines-Takshanuk Mountains-Chilkat Peninsula area STATEMAP project, southeast Alaska

Major oxide and trace element analyses for rock samples from the Haines-Takshanuk Mountains-Chilkat Peninsula area STATEMAP project, southeast Alaska, Raw Data File 2024-18, presents whole-rock and major- and trace-element geochemistry of rock samples collected to support geologic mapping in portions of the Skagway A-1, A-2, B-1, B-2, and B-3 15-minute quadrangles, an area of approximately 300 square miles. On December 2, 2020, a landslide triggered by an atmospheric river weather phenomenon at Beach Road in Haines, Alaska, claimed two lives. Numerous debris flows were also recorded around town during the same rain event, especially along Lutak Spur Road. As a response, the Haines-Takshanuk Mountains-Chilkat Peninsula area STATEMAP project's goal is to create an updated 1:50,000-scale geologic map in paper and digital GIS formats. A comprehensive, detailed map constructed using modern analytical methods is critical to help land managers and residents make informed decisions when planning future development and evaluating risks to infrastructure. During July 2022, May 2023, and August 2023, geologists from the Alaska Division of Geological & Geophysical Surveys (DGGS) conducted fieldwork supporting surficial and bedrock mapping (Truskowski and others, 2024). This data file is released as a Raw Data File with an open end-user license. The data are available from the DGGS website: http://doi.org/10.14509/31286.

Tags: alaska, analyses, analyses and sampling, analytical lab results, analytical results, battery point, bedrock, bedrock geologic map, bedrock geology, dggs, false battery point, ferebee river, ferebee valley, geochemical data, geochemical surveys, geochemistry, geologic, geologic map, geology, gneiss, granite, halutu ridge, haska creek, igneous, igneous rocks, indian rock, johnson creek, jualin mine, kasidaya creek, kelgaya point, lab methods, lily lake, low point, major oxides, metamorphic, metamorphic deposit, metamorphic rocks, metavolcanic rocks, methods, mink creek, minor oxides, plutonic, plutonic rocks, plutons, provenance, rare earth elements, ree, rocks, sample location, statemap project, taiya inlet, tanani, tanani beach, tanani point, tlegu beach, trace elements, trace geochemical, trace metals, tukgahgo mountain, ultramafic, volcanic
Organization: State of Alaska
421-a(16) Affordable New York Housing Program Completion Extension - Letters of Intent

Buildings which intend to seek partial real estate tax exemption under New York State Real Property Tax Law Section 421-a Subdivision 16 are required to commence and complete construction, as those terms are defined by the law, by certain dates. On April 20th, 2024, New York State extended the date by which buildings can complete construction from June 15, 2026 to June 15, 2031, for projects that, among other things, submit a form created by the agency within 90 days of the agency providing such form to the public. This form includes owner reported data including, but not limited to, information about ownership, the reported number of dwelling units and affordable housing units anticipated to be included in the building and reported commencement dates and reported, anticipated completion dates.

Tags: 421, affordable-housing, housing, letter-of-intent
Organization: City of New York
NYC Stormwater Flood Maps

A collection of citywide Geographic Information System (GIS) layers that show areas of potential flooding scenarios under varying sea level rise conditions. Please see the New York City Stormwater Resiliency Plan for more information about the methodology applied to develop the maps. Please direct questions or comments to StormwaterResiliency@cityhall.nyc.gov.

<b>This collection contains the following NYC Stormwater Flood Maps:</b>
<em><ul>
<li>NYC Stormwater Flood Map - Extreme Flood (3.66 inches/hr) with 2080 Sea Level Rise </li>
<li>NYC Stormwater Flood Map - Moderate Flood (2.13 inches/hr) with 2050 Sea Level Rise </li>
<li>NYC Stormwater Flood Map - Moderate Flood (2.13 inches/hr) with Current Sea Levels </li>
<li>NYC Stormwater Flood Map - Limited Flood (1.77 inches/hr) with Current Sea Levels </li></ul></em>
<a href="https://www1.nyc.gov/assets/orr/pdf/publications/stormwater-resiliency-plan.pdf" target="_blank">https://www1.nyc.gov/assets/orr/pdf/publications/stormwater-resiliency-plan.pdf</a>

Source Data: <a href="https://experience.arcgis.com/experience/e83a49daef8a472da4a7e34dc25ac445/" target="_blank">http://nyc.gov/stormwater-map</a>

Organization: City of New York