AndreaBozzo/ceres-open-data-index huggingface dataset:
Bottom-trawl and gill-net data from the Upper Great Lakes, collected by R/V Cisco, 1952–1962

The data release includes part of the bottom-trawl and gill-net survey data collected between 1952 and 1962 from the research vessel R/V &lt;em&gt;Cisco&lt;/em&gt;. The bottom-trawl dataset includes tables for fishing operations and effort (BT_OP.csv), fish catch (BT_Catch.csv), and individual length-weight-sex-maturity (LWSM) records (BT_Fish.csv) for only a subset of species (details below). The gill-net dataset includes tables for fishing operations (GN_OP.csv), fishing effort (GN_Effort.csv), fish catch (GN_Catch.csv), and individual LWSM records (GN_Fish.csv) for only a subset of species (details below). Two reference tables, BT_Spec.csv and Species.csv, are used for bottom trawl specifications and fish species names, respectively.&lt;br /&gt;
&lt;br /&gt;
This data release is part of the project &amp;quot;Historical habitat use by &lt;em&gt;Coregonus artedi&lt;/em&gt; in the Upper Great Lakes and critical embayments&amp;quot; funded by Environmental Protection Agency&amp;#39;s Great Lakes Restoration Initiative. Due to the scope of this project, the catch tables (GN_Catch.csv and BT_Catch.csv) only include data for alewife (&lt;em&gt;Alosa pseudoharengus&lt;/em&gt;), rainbow smelt (&lt;em&gt;Osmerus mordax&lt;/em&gt;), and cisco (&lt;em&gt;Coregonus artedi&lt;/em&gt;). LWSM data tables (GN_Fish.csv and BT_Fish.csv) only include data for cisco. Additional data collected from the surveys are archived at the Great Lakes Science Center.

Tags: fishery, freshwater-ecosystems, great-lakes, inland-fishery-resources, inlandwaters, lake-huron, lake-michigan, lake-superior, lakes, rv-cisco, survey, usgs-606dc774d34e670a7d5f6241
Organization: Department of the Interior
Bayesian network model that predicts the annual probability of beach mouse presence at a 30-m resolution in Florida coastal habitat

This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice (Peromyscus polionotus ssp). The annual probability of beach mouse presence is predicted from both local and neighborhood habitat characteristics that could be influenced by management actions. When coupled with established population objectives, this study can provide insight into how much habitat is available, how much more is needed, and where conservation or restoration efforts can most efficiently achieve established objectives. The results could be used to help guide strategic habitat conservation and adaptive management of beach mice.

Tags: adaptive-management, bayesian-network, beach-mouse, coastal-dunes, downlisting-criteria, florida, gulf-of-mexico, landscape-conservation, strategic-habitat-conservation, usgs-5dc22f7ae4b069579750e456
Organization: Department of the Interior
Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2015

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9).
This Child Item includes the monthly DSWEmod surface water maps for 2015. The image contains 12 bands, where each band represents a month from January (Band 1) to December (Band 12). The Parent Directory for this data release consists of a zipped folder which contains the monthly DSWEmod surface water maps from 2003 through 2019. There are 17 multi-band images within the zipped folder, equating to one image for each year from 2003 through 2019. Similar to this Child Item, each image consists of 12 bands, where each band value from 1-12 represents sequential months from January (Band 1) to December (Band 12). Each Child Item consists of a single year of DSWEmod surface water maps (e.g., DSWEmod_YearlyImages_2015) to allow for the user to download specific years rather than the full collection of DSWEmod data.

Tags: conterminous-united-states, dynamic-surface-water-extent, level-i-ecoregions, level-iii-ecoregions, mann-kendall-trend-analysis, moderate-resolution-imaging-spectroradiometer-modis, sens-slope, surface-water, usgs-60b6ae5ed34e86b9388489e0
Organization: Department of the Interior
Diet Estimates of Southern Beaufort Sea Polar Bears, 2004-2016

These were data collected from polar bears from the southern Beaufort Sea during the spring between 2004 and 2016. Data include individual bear identification, age and sex class, capture date, capture year, open water season lengths, melt season length, and diet composition (expressed as a percentage of prey species). These data were used to determine whether polar bear diets have recently changed or remained stable over time.

Tags: alaska, animals-vertebrates, bears, beaufort-sea, biota, body-composition, carnivores, coastal-ecosystems, diets, environment, health-and-disease, keystone-species, mammals, marine-ecosystems, marine-mammals, polar-bear, qfasa, quantitative-fatty-acid-signature-analysis, species-life-history, terrestrial-ecosystems, ursus-maritimus, usgs-asc556, wildlife, wildlife-food-habits
Organization: Department of the Interior
Wind rose plots for the volcano: 283271  Towada

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d01391e4b0236b68f52d09, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Orthoimagery and elevation data derived from UAS imagery for Palmyra Atoll, USA 2016-Home, Paradise, Kaula, and Engineer Islands

This data set includes a point cloud, digital surface model (DSM), and orthoimagery of Home, Paradise, Kaula, and Engineer Islands at Palmyra Atoll, USA. Products were generated from aerial images collected in October 2016 using Unoccupied Aerial Systems (UAS, or "drones") with a Ricoh GRII digital camera. Imagery was processed using structure-from-motion photogrammetry that generates a three dimensional point cloud (.las) by identifying pixels from multiple images representing the same object and calculating the x, y, and z coordinates of that object/pixel. Point cloud data were processed to create a 12.7 cm resolution DSM (.tif) of the uppermost reflective surface (i.e., data have not been filtered for vegetation classes or height). Finally, source images were stitched together based on shared pixels and orthoganally adjusted to the DSM to create 3.2 cm resolution orthoimage (.tif) for the study area.

Tags: elevation, imagerybasemapsearthcover, northern-line-islands, oceans, pacific-ocean, palmyra-atoll, usgs-5d4db360e4b01d82ce8e06b7
Organization: Department of the Interior
Data and Photographs from the Inventory of Montane-nesting Birds in the Aniakchak National Monument and Preserve, Alaska

This data package contains six tables: 1) characteristics of bird survey sites, 2) vegetation classification at survey sites, 3) detections of all birds at survey sites, 4) behaviors of all birds at survey sites, 5) bird taxonomy and indication of conservation status, and 6) habitat information pertaining to survey site photographs.
				The objectives of the survey were to 1) use targeted field investigations to document as many bird species as possible that occur within Aniakchak during the breeding season, and 2) describe the distribution, habitat associations, and relative numbers of bird species occurring within Aniakchak during the breeding season.

Tags: alaska, alaska-peninsula, aleutian-range, alpine-tundra, aniakchak-national-monument-and-preserve, animals-vertebrates, avian-abundance, biogeography, biological-productivity, biota, birds, community-ecology, community-structure, distribution, environment, habitat-preferences, habitats, meshik-river, migratory-birds, perching-birds, seasonal-distribution, species-richness, terrestrial-ecosystems, usgs-asc558, wildlife
Organization: Department of the Interior
Mercury Concentrations, Diet, and Gut Microbiota Diversity of Southern Beaufort Sea Polar Bears, 2008-2019

This dataset is two tables with data collected and derived from polar bears sampled in Alaska’s southern Beaufort Sea during 2008-2019. Collected data includes demographic and morphometric information and derived data includes mercury concentrations in hair samples. Ancillary data includes gut microbiome abundances, diversity indices, calculated body condition, and the proportions of prey species detected in individual bear diets. These data were used to determine whether gut microbiota community richness and diversity were associated with diet-acquired mercury.

Tags: alaska, animals-vertebrates, bears, beaufort-sea, bioaccumulation, biota, body-composition, carnivores, coastal-ecosystems, diets, environment, gastrointestinal-microbiome, gut-microbiota, health-and-disease, keystone-species, mammals, marine-ecosystems, marine-mammals, mercury-levels, polar-bear, species-life-history, terrestrial-ecosystems, ursus-maritimus, usgs-asc555, wildlife, wildlife-food-habits
Organization: Department of the Interior
SiMPL Wildlife Magnet Project Data Release Volume 1 (2019 - 2023)

This volume's release consists of 281258 media files captured by autonomous wildlife monitoring devices under the project, SiMPL Wildlife Magnet Project.  The attached files listed below include several CSV files that provide information about the data release.   The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture.   The actual media files are housed within folders under the volume's "child items" as compressed files.   A critical CSV file is "dictionary.csv", which describes  each  CSV file, including field names, data types, descriptions, and the relationship of each field to fields other CSV files.    Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models,  identifying wildlife targets within the media.  If so, this information is stored in  "annotations.csv" and "modeloutputs.csv", respectively.   To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted.   To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files).  See source code at https://code.usgs.gov/vtcfwru/ammonitor.

Tags: aegolius-acadicus, alces-americanus-americanus, animal-tracking, biota, boreal-forest, canis-latrans, canis-lupus, catharus-guttatus, corvus-brachyrhynchos, cyanocitta-cristata, dryocopus-pileatus, ecological-forestry, ecosystem-monitoring, environment, field-inventory-and-monitoring, forest-management, lepus-americanus, leuconotopicus-villosus, lynx-rufus, martes-americana, mustela-frenata, mustela-vison, odocoileus-virginianus, ondatra-zibethicus, pekania-pennanti, perisoreus-canadensis, picoides-arcticus, poecile-atricapillus, procyon-lotor, remote-sensing, sciurus-carolinensis, setophaga-coronata, small-mammals, tamias-striatus, tamiasciurus-hudsonicus, temperate-forest, time-series-datasets, turdus-migratorius, urocyon-cinereoargenteus, ursus-americanus, usgs-6627b9b9d34ea70bd5f01561, vertebrates, vulpes-vulpes, wildlife, wildlife-biology, wildlife-monitoring
Organization: Department of the Interior
Sediment mobility and river corridor assessment for a 140-km segment of the mainstem Klamath River below Iron Gate Dam, CA - vegetation mapping 2005

This report documents river response to hydrologic disturbance along a 140-km segment of the mainstem Klamath River below Iron Gate Dam, CA by assessing fundamental indicators of active sediment transport and dynamic changes in riparian vegetation. A combination of field and remote sensing methods were used to document river response to natural rainfall-runoff events (e.g., 2006 and 2017) and managed flow releases (e.g., 2016 to 2019). Field data provide direct evidence of near-bed sediment transport, episodic scour and fill, and surface flushing of alluvial margins. Remote-sensing data provide spatially-continuous summaries of alluvial features and dynamic vegetation changes. These physical datasets validate channel maintenance flows proposed by Shea and others (2016). Sediment mobility thresholds defined at two USGS gaging stations were 5,210 ft3/s at Iron Gate Dam and 8,810 ft3/s at Seiad Valley. Peak flows during water years 2006 and 2017 resulted in 1 to 2 feet of aggradation of the channel bed that was followed by scour during the intervening dry years. Episodic scour and fill resulted in no long-term trend in the mean bed elevations. Surface fines along alluvial margins were flushed by high flows in 2017 with a recurrence interval 5 years. From 2005 to 2009, riparian vegetation was scoured by high flows in 2006 with recurrence intervals of 5 to 10 years, which was followed by vegetation encroachment from 2009 to 2016. Dynamic channel changes caused by high flows with recurrence intervals of 5-years or more initiated dynamic channel changes. The study results will be useful for interpreting linkages among physical and biological processes and evaluating the effectiveness of flow management decisions that impact endangered salmonid populations.

Tags: california, environment, gis, klamath-river, remote-sensing, siskiyou-county, usgs-5f8f0d7e82ce06b040efc881, vegetation-mapping
Organization: Department of the Interior
Effect of ultrasonic deterrents and curtailment on bat mortality at an Ohio wind energy facility

Wind energy is important for achieving net-zero greenhouse gas emissions but also contributes to global bat mortality. Current strategies to minimize bat mortality due to collision with wind-turbine blades fall broadly into two categories: curtailment (limiting turbine operation during high-risk periods) and deterrence (discouraging bat activity near turbines). Recently, there has been interest in combining these strategies to achieve greater reductions in bat fatalities than either strategy might achieve in isolation. To investigate the effectiveness of combining curtailment with ultrasonic deterrent minimization strategies, we deployed six ultrasonic deterrents at nacelle height on 16 experimental turbines at Avangrid Renewables' Blue Creek Wind Energy Facility. We rotated between four conditions (normal operations, curtailment only, deterrent only, curtailment and deterrent) randomly assigned to four wind turbines each night between 15 June and 3 October 2017. We searched daily for bat carcasses and associated those that were believed to have been killed the previous night with the treatment that was applied to that turbine on the previous night. The data set reflects mortality counts at each turbine on each night, and what the meteorological conditions were on each night. We also summarized turbine blade rotation over the entire night.

Tags: bat-mortality, bats, biota, environment, habitat-alteration-and-disturbance, land-use-change, mathematical-modeling, usgs-675caee6d34e189836d1d966, wildlife, wildlife-mortality, wind-energy
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 4.0, May 2023)

These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 28,901 AIM plots from years 2016–2022 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as grassland/herbaceous by the 2019 National Land Cover Database at or below 2350-m elevation.
Note:
Maps of May 1st, 2023 were developed using satellite observation data no later than April 28.
Maps of May 8th, 2023 were developed using satellite observation data no later than May 05.
Maps of May 15th, 2023 were developed using satellite observation data no later than May 11.
Maps of May 22nd, 2023 were developed using satellite observation data no later than May 19.
Releases: 
First Release: May 01, 2023 (ver. 1.0)
Revised: May 08, 2023 (ver. 2.0)
Revised: May 15, 2023 (ver. 3.0)
Revised: May 22, 2023 (ver. 4.0)

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, exotic, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, perennial-grass, poa-secunda, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, texas-brome, united-states, usgs-64709b34d34e4e58932d1d82, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Raw and processed Ground Penetrating Radar and post-processed Differential Global Positioning System data collected from Assateague Island, Maryland, October 2014

Scientists from the United States Geological Survey, St. Petersburg Coastal and Marine Science Center (USGS-SPCMS) acquired sediment cores, sediment surface grab samples, Ground Penetrating Radar (GPR) and Differential Global Positioning System (DGPS) data from Assateague Island, Maryland, in October (FAN 2014-322-FA) 2014. The objectives were to identify washover deposits in the stratigraphic record to aid in understanding barrier island evolution.
The report associated with this metadata record serves as an archive of GPR and DGPS data collected from Assateague Island in October 2014. Data products and accompanying Federal Geographic Data Committee (FGDC) metadata can be downloaded from the Data Downloads page located at, http://pubs.usgs.gov/publication/ds989/ds_data_downloads.html.

Tags: assateague-island, barrier-island-mapping, chincoteague-bay, fan-2014-322-fa, geoscientificinformation, ground-penetrating-radar-gpr, maryland, subsurface-profile, trackline, united-states-of-america, usgs-37dc4deb-ca90-40b1-9eff-17c86cdf02aa
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 0234 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f5219e4b006a11f66e9fb, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
G-2966 : Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida

The data set consists of text files used to create the synthetic seismogram - Cooper City Water Treatment Plant, G-2966,(Concentrate Disposal #1), Broward County, Florida.

Tags: broward-county, data-preservation, geoscientificinformation, marine-geophysics, miami-dade-county, oceans, sea-floor-characteristics, seismic, seismic-reflection-methods, seismology, synthetic-seismology, united-states, usa, usgs-588f8ac1e4b072a7ac08c337
Organization: Department of the Interior