AndreaBozzo/ceres-open-data-index huggingface dataset:
MC20 Oil On Water Sampling Photos 2018-08-16

These data were collected as part of the National Oceanic and Atmosphericâs (NOAA) DWH Lessons Learned Studies: Detection of Oil Thickness and Emulsion Mixtures using RS Platforms study on methods to estimate oil slick coverage and thickness. The Team developed methods for synoptic collection of satellite imagery, airborne imagery, surface oil characterization, oil and water chemistry, and subsurface oil slick data at both the Oil and Hazardous Materials Simulated Environmental Test Tank (Ohmsett) and the Mississippi Canyon lease block #20 (MC20), which has an ongoing chronic oil discharge. Data shown here in NOAAâs Environmental Response Management Applications (ERMA) are part of the MC20 field research undertaken in 2016, 2017, and 2018. This research was primarily funded by the U.S. Department of the Interior, the Bureau of Safety and Environmental Enforcement (BSEE), and the Oil Spill Preparedness Division through Interagency Agreement E16PG00023 with the U.S. Department of Commerce, NOAA.

Tags: continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, field surveys, hazards management, hazards mitigation, human dimensions, louisiana, national ocean service, noaa, north america, office of response and restoration, oil spills, sea surface, u.s. department of commerce, uav, united states of america, unmanned aerial vehicle, vertical location
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Refugio GNOME NRDA Trajectory May 29

On May 19, 2015, a pipeline owned ruptured in Santa Barbara County, California, near Refugio State Beach. An estimated 21,000 gallons of the oil flowed overland from the break site into the Pacific Ocean and spread across the marine environment. NOAA and our state and federal partners are investigating these impacts and will determine the amount of restoration needed to return the environment to the condition it was in before the spill and to compensate the public for environmental degradation from the time of the spill until recovery.

This layer represents a NOAA GNOME modeled hindcast of the trajectory of oil from the Refugio Beach Oil Spill.

Tags: california, continent, doc/noaa/nos/orr, earth science, earth science services, environmental impacts, hazards management, hazards mitigation, human dimensions, national ocean service, noaa, north america, office of response and restoration, oil spills, refugio beach oil spill, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ERIE_2022 ESI INVERT Polygons

These feature classes reside within the BIOLOGY Feature Data Set of the Lake Erie - 2022 ESI Geodatabase.  It contains vector polygons representing invertebrate data for Lake Erie.

The study area includes the United States portion of Lake Erie, covering the coastal portions of Ohio, Pennsylvania, and New York from the Michigan/Ohio border to the west to the New York/Canada border to the east. This data set contains sensitive biological resource data depicting invertebrate distribution and concentration areas in Lake Erie.

Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer.  This data set is a portion of the ESI data for Lake Erie.

As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2022, animals/invertebrates, aquatic ecosystems, biological classification, biosphere, coastal landforms, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, geomorphic landforms/processes, great lakes, great lakes - lake erie esi, human dimensions, lake erie, land surface, national ocean service, new york, noaa, north america, oceans, office of response and restoration, ohio, oil spill planning, oil spills, pennsylvania, sensitivity maps, shorelines, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_St_Marys_River_2021 ESI FISH Polygons, Points

These feature classes reside within the BIOLOGY Feature Data Set of the Great Lakes St. Marys River - 2021 ESI Geodatabase. They contain vector polygons and points representing FISH data for the Great Lakes St. Marys River System.

The study area includes the St. Marys River at the southern portion of Lake Superior beginning just east of Monocle Lake and south of Iroquois Island ending to the headwaters of Lake Huron. These data sets contain sensitive biological resource data for freshwater and anadromous fish species in the St. Marys River.  Vector polygons and points in these datasets represent fish distribution and spawning areas. 

Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer. These datasets are a portion of the ESI data for the Great Lakes St. Marys River System.

As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2021, animals/vertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, fish, great lakes, great lakes - st.marys river esi, human dimensions, michigan, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, st mary's river, u.s. department of commerce, united states of america, wildlife
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Outer Coast of Washington and Oregon 2014 ESI TERRESTRIAL MAMMAL Polygons

This data set contains sensitive biological resource data for mink, American marten, and Roosevelt elk for the Outer Coast of Washington and Oregon.  Vector polygons in this data set represent terrestrial mammal distributions. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Outer Coast of Washington and Oregon.  ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil.  The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2014, animals/vertebrates, biological classification, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, environmental sensitivity index, esi, human dimensions, mammals, national ocean service, noaa, north america, office of response and restoration, oil spill planning, oil spills, oregon, outer coast of washington and oregon, sensitivity maps, u.s. department of commerce, united states of america, washington, washington and oregon - outer coasts
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_St_Lawrence_River_2021 ESI POLITICAL/JURISDICTIONAL Polygons, Lines

These feature classes reside within the SOCECON Feature Data Set of the Great Lakes St. Lawrence River - 2021 ESI Geodatabase.  They contain vector polygons and lines representing Political/Jurisdictional human-use resource data for the Great Lakes St. Lawrence River System and adjacent lands and waters. The study area includes the St. Lawrence River from the headwaters of Lake Ontario, northeast to the western portion of L'Ile-Saint-Regis Island (CA).

These data sets contain human-use or management resource data for the international boundary and Tribal lands in the St. Lawrence River.  

Object specific Type and Source information are stored in the related data tables, SOC_DAT and SOURCES (described below). These are stand-alone tables within the Geodatabase, designed to be used in conjunction with these spatial data layers. 

This data set is a portion of the ESI data for Great Lakes St. Lawrence River System. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2021, administrative divisions, boundaries, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, environmental impacts, environmental monitoring, esi, great lakes, great lakes - st.lawrence river esi, human dimensions, human use resources, national ocean service, new york, noaa, north america, office of response and restoration, oil spill planning, oil spills, sensitivity maps, socioeconomic resources, st. lawrence river, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GL_LAKE_ONTARIO_2023 ESI FISH Polygons, Points

These feature classes reside within the BIOLOGY Feature Data Set of the Lake Ontario 2023 ESI Geodatabase.  It contains vector polygons and points representing FISH data for Lake Ontario.

The study area includes the United States portion of Lake Ontario, covering the islands in New York: Association Island, Bass Island, Calf Island, Carl Island, Cherry Island, Eagle Island, Fox Island, Galloo Islands, Grenadier Island, Horse Island, Hoveys Island, Six Point Town, and Stony Island. Major Lake Ontario bays mapped include: Black River Bay, Blind Sodus Bay, Braddock Bay, Chaumont Bay, Guffin Bay, Irondequoit Bay, Henderson Bay, Little Sodus Bay, Mexico Bay, Port Bay, Sawyer Bay, and Sodus Bay.

These data sets contain sensitive biological resource data for freshwater fish species in Lake Ontario.  Vector polygons in this data set represent fish distribution, concentration areas, and spawning areas. Vector points in this data set represent fish spawning areas.

Species-specific abundance, seasonality, status, life history, and source information are stored in associated data tables (described in Entity Attribute Overview below) designed to be used in conjunction with this spatial data layer.  This data set is a portion of the ESI data for Lake Ontario.

As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.

Tags: 2023, animals/vertebrates, aquatic ecosystems, biological classification, biosphere, coastal landforms, coastal processes, coastal resources, coastal zone management, continent, doc/noaa/nos/orr, earth science, ecosystems, environmental impacts, environmental monitoring, environmental sensitivity index, esi, fish, geomorphic landforms/processes, great lakes, great lakes - lake ontario esi, human dimensions, lake ontario, land surface, national ocean service, new york, noaa, north america, oceans, office of response and restoration, oil spill planning, oil spills, sensitivity maps, shorelines, u.s. department of commerce, united states of america, wetlands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Catoctin Mountain Park Tract and Boundary Data

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

Tags: boundaries, boundary, cato, catoctin-mountain-park, land-status-ownership, lrdcab, maryland, national-capital-region, national-park-service, ownership, parcels, planning-cadastre, tracts, united-states
Organization: Department of the Interior
LECL Lewis and Clark NHT Trail Corridor

The Trail Corridor dataset is comprised of a 50-mile buffer on each side of the Lewis and Clark National Historic Trail congressionally designated route.

The Lewis and Clark National Historic Trail is approximately 4,900 miles long, extending from the Ohio River in Pittsburgh, Pennsylvania to the mouth of the Columbia River in Oregon, following both the outbound and inbound routes of the Lewis and Clark Expedition. The trail connects 16 states (Pennsylvania, West Virginia, Ohio, Indiana, Kentucky, Illinois, Missouri, Kansas, Nebraska, Iowa, South Dakota, North Dakota, Montana, Idaho, Washington, and Oregon) and was established by Congress in 1978 as part of the national trails system (NTS) as one of four original national historic trails. This trail commemorates the 1803-1806 expedition of Lewis and Clark and the Corps of Discovery, which explored the Louisiana Territory and beyond. This epic journey contributed to significant scientific knowledge and profound political, social, economic, cultural, and environmental changes to the lands and the peoples of the North American continent.

Tags: buffer, lecl, lewis-and-clark, lewis-and-clark-national-historic-trail, lewis-and-clark-trail, national-historic-trail, national-park-service, national-trails-system, nps, trail-corridor
Organization: Department of the Interior
Alaska Department of Natural Resources North Slope Rehabilitation Assessment Sites

This layer was developed by ABR for this project, using data provided by BP Alaska, Inc,. ConocoPhillips, Inc., and Hilcorp Alaska, LLC. It shows the locations of selected sites on the North Slope where ABR has conducted land rehabilitation planning, treatments and/or monitoring. Each site is shown as a polygon representing its approximate size and shape. The data provided for each site also include site type (e.g., exploratory well site, spill) and operator (BP/Hilcorp or CPAI). Permission should be obtained from the site owner(s) before making any of this information available to the public. Several of these sites are described in the accompanying Guidance Document for land rehabilitation planning.

Tags: alaska, general-human-use-contaminants, general-management-landscape-management-habitat-scale, general-management-landscape-management-land-use-planning, general-management-landscape-management-landscape-conservation-planning, north-slope, vegetation-rehabilitation
Organization: Department of the Interior
Gene Data Tables from: <i>Pangenomics Links Boll Weevil Divergence with Ancient Mesoamerican Cotton Cultivation</i>

<p dir="ltr">These supplementary data tables represent gene annotations, gene ontology terms (GO), and gene coordinates from the boll weevil (Anthonomus grandis grandis, Agg) reference genome that appear in selectively swept regions and structural variations between the subspecies Agg and Agt (Anthonomus grandis thurberia). These genes were determined from two computer programs for selective analysis: RAiSD and PCAdapt. The gene tables are organized by shared/unique genes per sub-species and shared/unique genes residing on SVs, structural variations, per sub-species, which is based on >80% sequence identity. These data provide supplementary details for the enrichment tests that were carried out to associate gene function with subspecies biology, described in more detail in the manuscript: Pangenomics Links Boll Weevil Divergence with Ancient Mesoamerican Cotton Cultivation. This work is relevant to cotton managers throughout United States cotton growing regions, our international collaborators, as well as genome biologists investigating structural changes in genome architecture and their association with adaptation and trait plasticity. </p>

Tags: boll-weevil-management, gene-list-selection
Organization: Department of Agriculture
Data from: Employing tiny harmonic radar tags to study mosquito movement in natural environments

<p dir="ltr">A detailed understanding of mosquito movement dynamics is critical to mosquito-borne disease prevention. While laboratory and trap-based studies have made great strides in providing snapshots of mosquito movement, a real-time comprehensive picture of quotidian mosquito movement is still lacking. However, the development of miniature harmonic radar (HR) tags, suitable for small insect tracking, has made the collection of fine-scale mosquito movement data (locating landing positions) possible. In this study, we assessed the suitability of using HR tags (weighing 50-135 μg) for tracking individual <i>Aedes albopictus </i>in both caged flight tests and natural environments. Flight tests in a large outdoor screen cage demonstrated that mosquitoes were attracted to a darker colored wall and that individuals had variable landing heights, which aligned with published descriptions of <i>Ae. albopictus</i> behavior. Field experiments demonstrated the feasibility of following tagged mosquito movements in a coffee field and in shaded parkland. Movement parameters from both field experiments (step-distances, turning angles, and movement rates) were used to estimate maximum daily dispersals (range 25-52 m/d), and these estimates agree with previously published estimates. While both non-blood fed and blood fed female <i>Ae. albopictus</i> were found to be flight capable with HR tags, several experiments showed some adverse effects of tagging, including increased mortality and decreases in flight times. Nonetheless, our findings suggest that using harmonic radar tags to track mosquitoes can yield biologically relevant results. This approach is promising for future studies investigating adult mosquito movement ecology and dispersal, thus revealing new possibilities for mosquito surveillance and control.</p>

Tags: aedes-albopictus, animal-tracking-and-telemetry, harmonic-radar, insect-movement, mosquites
Organization: Department of Agriculture
Data from: Swine influenza A replicon particle and live attenuated influenza virus vaccines induce differential systemic and mucosal antibody and T cell responses

<p dir="ltr">The dataset contains measurements from a swine research study evaluating influenza A immune responses and protection for replicon particle and live attenuated influenza virus vaccines. The research study was conducted by United States Department of Agriculture, Agricultural Research Service (USDA-ARS) scientists and postdoctoral scientists at the National Animal Disease Center, USDA-ARS to characterize heterologous virus immunity from live attenuated influenza A virus vaccines and IAV replicon particle vaccines. A better understanding of vaccine immune responses to heterologous viruses will aid in development of improved swine IAV vaccination strategies. The dataset contains lesion scores, virus shedding in nasal swabs and bronchoalveolar lavage fluid, serum and bronchoalveolar lavage fluid antibody responses, and isolated blood and lung T cell responses.</p>

Tags: influenza-a-virus, swine-diseases, vaccine
Organization: Department of Agriculture
Chemical and physical data for analysis of nitrogen fluxes and nominal travel time in surface water

<p dir="ltr">Data were collected from a former cranberry farm that was restored to a wetland in Plymouth, Massachusetts, called "Tidmarsh". Between 2016 and 2024, data included surface water discharges, total nitrogen and nitrate concentrations in surface water, and specific conductivity concentrations to determine surface water travel times. Data were used for the following objectives: (1) watershed-scale water quality modelling to determine sources of N to Tidmarsh, (2) weekly field measurements to quantify seasonal patterns of NO<sub>3</sub><sup>-</sup> retention by Tidmarsh, and (3) bi-monthly injections of a conservative tracer to quantify solute residence time and its effect on NO<sub>3</sub><sup>-</sup> retention by Tidmarsh.</p>

Tags: cranberry, nitrogen, water-quality, wetland
Organization: Department of Agriculture
Images and segmentation annotations of cranberry fruit from a postharvest imaging platform

<p dir="ltr">This data set provides the raw images and annotations from a postharvest berry imaging platform that was used to train an instance segmentation model. Downstream image processing of segmented berries measures the color, size, shape, and uniformity in a sample. Images were collected using a Nikon D7500 DSLR camera using manual shutter speed, focal length, f-stop, and ISO settings. The imaging platform was a custom-build LED lightbox and sample tray. The dataset contains 210 images with accompanying annotations in YOLOv8 format.</p>

Tags: breeding, cranberry, deep-learning, imaging, lightbox, phenotyping, training-data
Organization: Department of Agriculture
Data from: Combination of serial plating and long-read sequencing to detect and quantify live Shiga-toxin producing <i>Escherichia coli</i>

<p dir="ltr">Consumption of food contaminated with Shiga toxin-producing <i>Escherichia coli</i> (STEC) causes millions of illnesses in the United States annually. Long-read sequencing could be used to reduce the time needed to test food for STEC, but sequencing is not quantitative and cannot differentiate between live and dead bacteria. Therefore, this study investigated combining serial plating with long-read sequencing to quantify only live STEC in a sample. Ground beef was inoculated with STEC and stomached. The liquid was filtered to remove eukaryotic cells and then centrifuged to pellet the bacteria. Serial dilutions of the pellet were plated on selective agar and then single colonies were selected for sequencing. During initial experiments where sample processing was conducted at room temperature, a 1 log increase in STEC concentration from the initial inoculated amount was observed. Subsequent experiments kept samples and reagents cold, and the amount of STEC recovered did not significantly differ from the amount inoculated. The DNA extracted from a single colony provided enough data to identify all virulence genes of interest multiple times. The amount of STEC in a sample could be quantified down to 1 cfu g<sup>-1</sup>. The ability of this method to quantify STEC in samples would improve risk assessment and guide mitigation in industry.</p>

Tags: bioinformatics, enumeration, escherichia-coli-o157-h7, food-safety, idenfication, long-read-sequencing, serial-plating, single-colony
Organization: Department of Agriculture