AndreaBozzo/ceres-open-data-index huggingface dataset:
Loudoun County Farm Tours

<span style='text-align:center;'>Loudoun Farm Tours are a biannual celebration of farming in Loudoun County, with one each for the planting in spring and the harvest in fall. </span>Explore Loudoun farms. Hear directly from the farmers, learn with educational activities, and shop the <a href='https://loudounfarms.org/marketplace/' style='margin:0px; padding:0px; border:0px; font:inherit; color:green;' target='_blank' rel='nofollow ugc noopener noreferrer'>Loudoun Made Loudoun Grown Marketplace</a>.

Tags: community, economic-development, farm-tour, garden, harvest, museum, nursery, open-data, recreation, vineyard, winery
Organization: Loudoun County, Virginia
Building Permit Applications 2022

This web mapping application identifies all of the residential building permits that were issued by Loudoun County during 2022.  The residential building permits include single-family attached, single-family detached, multi-family attached, multi-family stacked and group quarters.   <div><br /></div><div>The application provides both a total count of permits and also totals by various sub-geographies, including election districts, policy areas, planning subareas, etc.  </div>

Tags: building-permits, demographics, group-quarter, multi-family, open-data, planning, residential, single-family, zoning
Organization: Loudoun County, Virginia
Regent University Fall Enrollment By Student Classification And Resident Status

This dataset provides student headcount enrollment at the University of Iowa, Iowa State University, and the University of Northern Iowa for Fall semesters starting in 2012. The data includes Iowa residents and non-resident (out-of-state and international) enrollment for undergraduate, graduate and professional students.  Enrollment counts exclude post-doctoral scholars and medical residents as they are not enrolled in coursework.

Tags: college, enrollment, fall-semester, higher-education, iowa-public-universities, regent-universities, student-enrollment, universities
Organization: State of Iowa
NOAA/PIBHMC 40-m Bathymetry: USMOI: Howland Island: Hillshade

A 40-m resolution gridded digital elevation model (DEM) grayscale hillshade compiled from ship-borne multibeam sonar surveys for the bathymetry (ocean depth) surrounding Howland Island in the Central Pacific Ocean, a U.S. Minor Outlying Island (USMOI). Almost complete bottom coverage was achieved in depths between 8 and 3800 m. Data collected by the Pacific Islands Benthic Habitat Mapping Center (PIBHMC) in support of NOAA's Coral Reef Conservation Program. Not to be used for navigational purposes. For the related dataset containing numeric bathymetry values for this image layer, see http://pacioos.org/metadata/pibhmc_bathy_40m_howland.html

Tags: bathymetry, bathymetry/seafloor topography, central pacific ocean, earth science, howland island, ocean, oceans, pacific islands ocean observing system, pacific ocean, pacioos, topographical relief maps, u.s. minor outlying islands (usmoi)
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Species Distribution: Pygmy Killer Whale - Hawaii

This dataset contains a collection of known point locations of pygmy killer whales identified either via automated satellite tracking of tagged organisms or through direct human observation via shipborne and aerial surveys. This can be useful for assessing species abundance, population structure, habitat use, and behavior. This collection is aggregated from multiple data sources and survey periods listed below. Each data point contains attributes for further information about the time and source of the observation. This dataset was compiled by the Pacific Islands Ocean Observing System (PacIOOS) and may be updated in the future if additional data sources are acquired.

Cascadia Research Collective (CRC) has been undertaking surveys for odontocetes in Hawaiian waters since 2000. Pygmy killer whales are one of the least abundant odontocetes in Hawaiian waters. Photo-identification and satellite tagging suggests there are small resident populations of pygmy killer whales off several of the main Hawaiian Islands. In addition, Dr. Joseph Mobley of the Marine Mammal Research Consultants (MMRC) led aerial surveys for cetaceans in Hawaiian waters from 1993-2003.

For further information, please see:
http://www.cascadiaresearch.org/hawaiian-cetacean-studies/pygmy-killer-whales-hawaii

Tags: animals/vertebrates, aquatic ecosystems, biological classification, biosphere, central pacific ocean, cetaceans, continent, earth science, hawaii, hawaiian islands, mammals, marine habitat, north america, ocean, pacific islands ocean observing system, pacific ocean, pacioos, pygmy killer whale, toothed whales, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Dataset of Regional Prescribed Fire Encounters

Data sets used in the analysis presented in the manuscript “Encountering Prescribed Fire: Characterizing the Intersection of Prescribed Fire and Wildfire in the CONUS”.  This data was derived from geospatial data of USDA US Forest Service prescribed fire activity and wildfire activity. The data supporting each of the Figures in the manuscript were provided in a file specific for that Figure. Some figures may have more than one associated file based on the number of panels. Each file is in comma-separated value (csv) format and contains the data used to generate that Figure. 

This dataset is associated with the following publication:
Beidler, J., K. Baker, G. Pouliot, and J. Sacks. Encountering Prescribed Fire: Characterizing the Intersection of Prescribed Fire and Wildfire in the CONUS.   ACS ES&T Air. American Chemical Society, Washington, DC, USA, 1(12): 1687-1695, (2024).

Tags: air-quality, prescribed-fires
Organization: U.S. Environmental Protection Agency
The Bi-Directional Lung Brain-Axis of Amyloid β Pathology: Ozone Dysregulates the Peri- Plaque Microenvironment

These data pertains to research results from studies examining ozone effects on the mechanism of amyloid plaque formation in mouse brain. This dataset is not publicly accessible because: I don't have access to these data. It can be accessed through the following means: Contacting the senior author to access the data. Format: spreadsheets, pathology pictures and immunoblots. 

This dataset is associated with the following publication:
Greve, H., A. Dunbar, C. Lombo, C. Ahmed, M. Thang, E. Messenger, C. Mumaw, J. Johnson, U. Kodavanti, A. Oblock, and M. Block. The Bi-Directional Lung Brain-Axis of Amyloid β Pathology: Ozone Dysregulates the Peri- Plaque Microenvironment.   Brain. Oxford University Press, OXFORD,  UK, 146(3): 991-1005, (2023).

Tags: alzheimers-disease, amyloid-plaque, brain-pathology, climate-change, mouse-model-of-human-gene-mutations, nitrogen-and-co-pollutants
Organization: U.S. Environmental Protection Agency
Vertical stratification of the water microbiome in an electric water heater tank

The raw sequence reads have been submitted to the NCBI Sequence Read Archive (SRA) under the BioProject PRJNA961987 with the following BioSample numbers: SAMN39596420, SAMN39596421, SAMN39596422, SAMN39596423, SAMN39596424, SAMN39596425, SAMN39596426, SAMN39596427, SAMN39596428, SAMN39596429, SAMN39596430, SAMN39596431, SAMN39596432, SAMN39596433, SAMN39596434, SAMN39596435, SAMN39596436, SAMN39596437, and SAMN39596438.

A table (Table_diversity_indices.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), diversity indices (Chao and Shannon), and water temperature (°C) for each Set of samples.

A table (Table_Legiolert.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), abundance of cultured Legionella pneumophila (MPN/100mL), and water temperature (°C) for each Set of samples.

A table (Table_qPCR_L_pneumophila.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of L. pneumophila (GCN/100mL), and water temperature (°C) for each Set of samples.

A table (Table_qPCR_Legionella.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of Legionella spp. (GCN/100mL), and water temperature (°C) for each Set of samples.

A table (Table_qPCR_Mycobacterium.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of Mycobacterium spp. (GCN/100mL), and water temperature (°C) for each Set of samples.

A table (Table_qPCR_V_vermiformis.xlsx) contains rows as samples with ID, columns as distance from top to bottom (cm), sample volume (L), flushed volume (L), copy number of V. vermiformis (GCN/100mL), and water temperature (°C) for each Set of samples.

An abundance matrix (Table_taxonomy.xlsx) contains rows as taxonomic lineage, columns as samples, and entries representing the abundance of each lineage as a number of reads obtained for each Set of samples.

A table (Table_water_temperature.xlsx) contains rows as water samples with ID, columns as temperature (°C and °F) measured from the top, bottom and drain of the water tank for each Set of samples. 

This dataset is associated with the following publication:
Gomez-Alvarez, V., H. Ryu, M. McNeely, C. Muhlen, D. Williams, D. Lytle, and L. Boczek. Vertical Stratification of the Water Microbiome in an Electric Water Heater Tank: implications for premise plumbing opportunistic pathogens.   JOURNAL OF WATER AND HEALTH. IWA Publishing, London,  UK, 22(12): 2346–2357, (2024).

Tags: hot-water-tank, legionella-pneumophila, microbial-communities, opportunistic-pathogens, premise-plumbing
Organization: U.S. Environmental Protection Agency
Metabolomic Investigations of the Temporal Effects of Exposure to Pharmaceuticals and 4 Personal Care Products and their Mixture in the Eastern Oyster (Crassostrea virginica)

The eastern oyster (Crassostrea virginica) supports a large aquaculture industry and is a keystone species along the Atlantic seaboard. Native oysters are routinely exposed to a complex mixture of contaminants that increasingly includes pharmaceuticals and personal care products (PPCPs). Unfortunately, the biological effects of chemical mixtures on oysters are poorly understood. Untargeted GC-MS metabolomics was utilized to quantify the response of oysters exposed to fluoxetine, N,N-diethyl-meta-toluamide (DEET), 17α-ethynylestradiol (EE2), diphenhydramine and their mixture. Oysters were exposed to 1 µg/L of each chemical or mixture for ten days, followed by an eight-day depuration period. Adductor muscle (n = 14/treatment) was sampled at days 0, 1, 5, 10 and 18. Trajectory analysis illustrated that metabolic effects and class separation of the treatments varied at each time point, and that overall, the oysters were only able to partially recover from these exposures post-depuration. Altered metabolites were associated with cellular energetics (i.e. Krebs cycle intermediates), as well as amino acid metabolism and the urea cycle. Exposure to these PPCPs also affected metabolic pathways associated with anaerobic metabolism, osmotic stress and oxidative stress, in addition to the physiological effects from each chemical’s postulated mechanism of action. Following depuration, there were fewer metabolites altered, but none of the treatments returned to their initial control values, indicating that metabolic disruptions were long-lasting. Interestingly, the mixture did not directly cluster with individual treatments in the scores plot from partial least squares discriminant analysis and many of its affected metabolic pathways were not well-predicted from the individual treatments. This research highlights the utility of untargeted metabolomics in developing exposure biomarkers for compounds with differing modes of action in bivalves. 

This dataset is associated with the following publication:
Brew, D., M. Black, M. Santos, J. Rodgers, and W. Henderson. Metabolomic Investigations of the Temporal Effects of Exposure to Pharmaceuticals and Personal Care Products and Their Mixture in the Eastern Oyster (Crassostrea virginica).   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 39(2): 419-436, (2020).

Tags: aquatic-invertebrates, aquatic-toxicology, contaminants-of-emerging-concern, effects-based-monitoring, metabolomics, mixture-toxicology
Organization: U.S. Environmental Protection Agency
Pesticide Residue Concentration in Honey Bee Hive Matrices

Pesticide concentrations determined in honey bee hive matrices from GC/qToF-MS analysis.  Including neonicotinoid concentrations determined by LC-MS/MS as published in Lin et al., 2021. 

This dataset is associated with the following publication:
Glinski, D., S. Purucker, J. Minucci, R. Richardson, C. Lin, R. Johnson, and W. Henderson. Analysis of contaminant residues in honey bee hive matrices.   SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM,  NETHERLANDS, 954: 176329, (2024).

Tags: ecological-risk, honey-bee, multiple-stressors, pesticides
Organization: U.S. Environmental Protection Agency
Treatment Wetlands LRV Database

Database of reported pathogen log reduction values (LRVs) reported in the literature for wetland treatment systems as a function of study and wetland characteristics. 

This dataset is associated with the following publication:
Arden, S., M. Anderson, J. Blue, X. Ma, M. Jahne, and J. Garland. Towards the Definition of Treatment Wetland Pathogen Log Reduction Credits.   CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY. CRC Press LLC, Boca Raton, FL, USA, 957: 177613, (2024).

Tags: log-reduction, pathogen, treatment-wetland, water-reuse
Organization: U.S. Environmental Protection Agency
Full dataset for "Potential Use of Filter Sampling for Environmental Water with Fecal Indicator Bacteria and Bioterrorism Surrogates"

Full dataset for manuscript titled "Potential Use of Filter Sampling for Environmental Water with Fecal Indicator Bacteria and Bioterrorism Surrogates". 

This dataset is associated with the following publication:
Abdel-Hady, A., M. Monge, D. Aslett, A. Mikelonis, A. Touati, and K. Ratliff. Comparison of liquid and filter sampling techniques for recovery of Bacillus spores and Escherichia coli from environmental water.   JOURNAL OF ENVIRONMENTAL MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 370: 122711, (2024).

Tags: bacillus-anthracis, edna, escherichia-coli, filter-sampling
Organization: U.S. Environmental Protection Agency
Non-Wovens Paper Dataset

Data from non-woven glove box experiments with Bacillus atrophaeus and ClO2. 

This dataset is associated with the following publication:
Lemieux, P., A. Touati, J. Sawyer, D. Aslett, S. Serre, B. Pourdeyhimi, P. Grondin, T. MacArthur, A. Abdel-Hady, and M. Monge. Use of Semi-Permeable Bag Materials to Facilitate On-Site Treatment of Biological Agent-Contaminated Waste.   WASTE MANAGEMENT. Elsevier Science Ltd, New York, NY, USA, 178: 292-300, (2024).

Tags: emergency-response, remediation, resilience, waste-management
Organization: U.S. Environmental Protection Agency
Volcano Hazard

<div><p style='background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:11.5pt; font-family:Helvetica, sans-serif;'>Volcanic eruptions are
most likely to occur in the Pacific Rim states, which include Oregon. The
primary danger area around a volcano covers an approximately 20-mile radius,
although there is some danger to people within 100 miles or more. Airborne ash
from a volcano can affect people hundreds of miles away from the eruption. The
most common volcano-related hazards are ash (tephra), lahars (volcanic mud
flows), lava and debris flows, avalanches, and pyroclastic flows.</span></p><p style='background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-family:Helvetica, sans-serif; font-size:11.5pt;'>These data depict areas
where volcanic hazards may occur during or after volcanic activity. Volcanoes
can produce volcanic ash, mudflows, debris flows, avalanches of hot volcanic
material, lava flows, and landslides. Residents and visitors to these areas
should have an evacuation plan ready should volcanic activity begin.</span></p>

<p style='margin-bottom:7.5pt; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:10.5pt; font-family:&quot;Helvetica&quot;,sans-serif; color:#333333;'>DOGAMI
used data from the U.S. Geological Survey (USGS) Cascades Volcano Observatory
(CVO) for this web application. CVO maintains proximal and distal hazard zone
data for five volcanic areas in the Western Cascades of Oregon. These areas
include Mount Hood, Crater Lake, Newberry, Mount Jefferson, and the Three
Sisters. HazVu shows these data as two hazard zones: the high hazard zone
(proximal zone) and moderate hazard zone (distal zone). Any person or structure
located within these hazard zones should have an evacuation plan ready should
volcanic activity begin.</span></p>

<p style='margin-bottom:7.5pt; background-image:initial; background-position:initial; background-size:initial; background-repeat:initial; background-attachment:initial; background-origin:initial; background-clip:initial;'><span style='font-size:10.5pt; font-family:&quot;Helvetica&quot;,sans-serif; color:#333333;'>More
information: <a href='https://volcanoes.usgs.gov/observatories/cvo/' rel='nofollow ugc'><span style='color:#3344DD;'>USGS Cascades Volcano Observatory</span></a> or <a href='https://www.oregon.gov/dogami/mthood/Pages/index.aspx' rel='nofollow ugc'><span style='color:#3344DD;'>DOGAMI/Mount Hood Risk Study</span></a></span></p></div>

Tags: eruption, hazards, volcano
Organization: State of Oregon
Oregon Wetland Database

This data layer is an element of the Oregon GIS Framework. The Oregon Wetlands Database (2019) is a geodatabase consisting of three feature classes: 1) Local Wetland Inventory (LWI) Wetlands, 2) National Wetland Inventory (NWI) Wetlands, and 3) More Oregon Wetlands (MOW). Each feature class contains polygons representing wetland boundaries. The three feature classes originated from different sources with distinct purposes, methodologies and time frames for generating geospatial wetlands data, and there is overlap among them; however, all are relevant to the conservation and management of wetlands across the state of Oregon. See the metadata of the individual feature classes for more background information and details per dataset.

Tags: aquatic, bioscience, bioscienceframework, modern, oregon, wetlands
Organization: State of Oregon
Oregon Tsunami Data Compilation

Includes multiple tsunami-related datasets: 1) tsunami runup elevation: delineates tsunami runup elevations for both a Cascadia and eastern Aleutian Island tsunami inundation scenario. 2) tsunami wave arrival times: Delineates tsunami wave arrival times for both a Cascadia and eastern Aleutian Island tsunami inundation scenario. 3) tsunami flow depth: delineates tsunami flow depths for both a Cascadia and eastern Aleutian Island tsunami inundation scenario. 4) tsunami current velocity: tsunami current velocities for both a Cascadia and eastern Aleutian Island tsunami inundation scenario. 5) tsunami water levels: delineates maximum tsunami water levels for both a Cascadia and eastern Aleutian Island tsunami inundation scenario. 6) tsunami momentum flux: delineates maximum tsunami momentum flux for both a Cascadia and eastern Aleutian Island tsunami inundation scenario.

Tags: oregon
Organization: State of Oregon
Inventory Map Index

<p><span style='background-color:rgb(255,255,255); color:rgb(68,68,68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'>SLIDO-4.5 is an Esri ArcGIS version 10.7 file geodatabase which can be downloaded here: </span><font color='#444444' face='Segoe UI, Segoe, Tahoma, Helvetica, Arial, sans-serif'><span style='font-size:13px;'>https://www.oregon.gov/dogami/slido/Pages/data.aspx </span></font><span style='color:rgb(68, 68, 68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'> The geodatabase contains two feature datasets (a group of datasets within the geodatabase) containing six feature classes total, as well as two raster data sets, one individual table, and two individual feature classes. The original studies vary widely in scale, scope and focus which is reflected in the wide range of accuracy, detail, and completeness with which landslides are mapped. In the future, we propose a continuous update of SLIDO. These updates should take place: 1) each time DOGAMI publishes a new GIS dataset that contains landslide inventory or susceptibility data or 2) at the end of each winter season, a common time for landslide occurrences in Oregon, which will include recent historic landslide point data. In order to keep track of the updates, we will use a primary release number such as Release 4.0 along with a decimal number identifying the update such as 4.5.</span></p>

Tags: alluvium, deposits, geoscientificinformation, inventory, landslide, north-america, oregon, sediment, soil, surface, united-states-of-america
Organization: State of Oregon
Radon Data

<div style='text-align:Left;'><div><p><span>The polygons in this feature class are geologic map units assigned a radon potential rank, based on three major geologic factors: geologic materials, aerial radiometric measurement averages, and indoor air radon measurement averages.</span></p></div></div>

Tags: environment, geology, geoscientificinformation, health, oregon, radiation, radioactivity, radium, radium-226, radon, uranium
Organization: State of Oregon
Scarps

<p><span style='background-color:rgb(255,255,255); color:rgb(68,68,68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'>SLIDO-4.5 is an Esri ArcGIS version 10.7 file geodatabase which can be downloaded here: </span><font color='#444444' face='Segoe UI, Segoe, Tahoma, Helvetica, Arial, sans-serif'><span style='font-size:13px;'>https://www.oregon.gov/dogami/slido/Pages/data.aspx </span></font><span style='color:rgb(68, 68, 68); font-family:&quot;Segoe UI&quot;, Segoe, Tahoma, Helvetica, Arial, sans-serif; font-size:13px;'> The geodatabase contains two feature datasets (a group of datasets within the geodatabase) containing six feature classes total, as well as two raster data sets, one individual table, and two individual feature classes. The original studies vary widely in scale, scope and focus which is reflected in the wide range of accuracy, detail, and completeness with which landslides are mapped. In the future, we propose a continuous update of SLIDO. These updates should take place: 1) each time DOGAMI publishes a new GIS dataset that contains landslide inventory or susceptibility data or 2) at the end of each winter season, a common time for landslide occurrences in Oregon, which will include recent historic landslide point data. In order to keep track of the updates, we will use a primary release number such as Release 4.0 along with a decimal number identifying the update such as 4.5.</span></p>

Tags: alluvium, deposits, geoscientificinformation, inventory, landslide, north-america, oregon, sediment, soil, surface, united-states-of-america
Organization: State of Oregon