AndreaBozzo/ceres-open-data-index huggingface dataset:
Field Notebooks from Loch Vale watershed, Rocky Mountain National Park, research from 1981 through 2023

These files consist of scanned field notebooks from long-term research and monitoring conducted in the Loch Vale watershed, Rocky Mountain National Park from June 17, 1981, through September 19, 2023. There are 72 individual PDF files. They are accompanied by a spreadsheet that serves as a pointer to the contents of each notebook, including the range of years in each, start and end dates, field observers' names or initials, and whether the field notebook includes notes on specific sample collections or research activities. There is a column noting whether and when there was field equipment maintenance, whether the notebooks include sample sites outside Loch Vale watershed (and where), and names of the notebook scanners, proofreaders, and quality assurance evaluators. A map of the locations of all sample sites within Loch Vale and additional long-term sites in Rocky Mountain National Park is included with the field notebook files. This file is titled "AllSitesMap_fieldnotebooksdatarelease.pdf".

Tags: andrews-tarn, atmospheric-deposition, bathymetry, biota, climatologymeteorologyatmosphere, colorado, ecology, emerald-lake, environment, fern-lake, glass-lake, hydrology, inlandwaters, lake-haiyaha, lake-husted, lake-louise, limnology, loch-vale-watershed, nitrogen, odessa-lake, rocky-mountain-national-park, sky-pond, subalpine-forest, the-loch, usgs-6723cba2d34e4f57573e8e45, water-quality, weather
Organization: Department of the Interior
Data and Model Archive for Simulations of Seawater Restoration on Diked Salt Marshes

This dataset and model archive provides geochemical modeling input and selected output data used in simulations of seawater restoration on historically diked salt marshes. Biogeochemical changes resulting from seawater reintroduction were simulated using the computer program PHREEQC (Parkhurst and Appelo, 2013) to help support efforts to restore tidal flow and associated estuarine habitat to diked marshes, including the Herring River estuary in Wellfleet, Massachusetts, on Cape Cod. First, one-dimensional reactive transport models were developed and calibrated using data from Portnoy and Giblin (1997) microcosm experiments of sediment cores to better understand the associated timing and sequence of biogeochemical reactions and their implications to aquatic health. These cores included diked, flooded marsh sediments and subaerially exposed, diked, drained sediments representative of the Herring River diked marsh. Solute concentrations measured in the microcosm experiment data were used to estimate sedimentary organic matter decay rates by matching the timing and magnitude of simulated dissolved ferrous iron and sulfide concentrations. Then, "basecase" models were used to simulate a single flow velocity to better understand biogeochemical conditions over longer time periods and with varying ferric iron source minerals.

Tags: biota, diking, geochemical-modeling, nutrients, organic-matter-degradation, salt-marsh-restoration, sea-level-rise, trace-metals, usgs-672bc5a6d34e16b32e73997a
Organization: Department of the Interior
CoSMoS 3.2 Northern California projected flood hazards: Humboldt County

These data contain geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with the sea-level rise (SLR) and storm condition indicated.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, humboldt-county, mathematical-modeling, northern-california, northern-california-coast, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-6723cd8fd34e4f57573e8e6c, water-depth, waves, wind
Organization: Department of the Interior
Analysis of fish PIT tag detections from 2008-2024 at the Link River Dam fish ladder in the Upper Klamath River Basin, Oregon

Passive integrated transponder (PIT) detections across the Upper Klamath River Basin were combined from all fish that were detected making a passage attempt at the Link River Dam fish ladder from 2008 - 2024. In July 2007, four PIT tag antennas (FS1001 Muliplexer transceiver [MUX] units) arrays which were originally installed by Biomark. In October 2023, antennas were upgraded to Biomark IS1001 Master Controller units.  Detections include the following species: Lost River suckers (Deltistes luxatus), shortnose suckers (Chasmistes brevirostris), redband or rainbow trout (Oncorhynchus mykiss), and Chinook salmon (Oncorhynchus tshawytscha). Data summaries quanitfy successful passage and speed for fish that traversed the fish ladder and are provided in a powerpoint slide deck that were made from accompanying R code and input data.

Tags: biota, link-river, upper-klamath-lake, usgs-672b9831d34e16b32e739028
Organization: Department of the Interior
Suspended sediment and hyporheic dissolved oxygen data for the Shoshone River below Willwood Dam 2019-2020

We quantified the effects of dam sediment management operations on downstream salmonid spawning habitat during two fall water-level drawdown periods: an experimental drawdown leading to sediment release or a typical slower drawdown intended to minimize release of sediment. The experimental drawdown increased deposited fine sediment and decreased hyporheic dissolved oxygen levels. However, the typical drawdown did not increase fine sediment deposition or decrease hyporheic dissolved oxygen. We quantify the immediate impacts of dam operations using a number of water column and substrate metrics including total suspended sediment concentration, hyporheic dissolved oxygen concentration, and deposited sediment data from sediment infiltration bags.

Tags: biota, sediment, usgs-672b8c8ad34e16b32e73861f
Organization: Department of the Interior
Data describing a predatory fish invasion on a riverine food web.

Catfishes are opportunistic feeders that are among the world's worst invasive species. Flathead catfish *Pylodictus olivaris* -- a large predatory catfish -- were first detected in the Susquehanna River, Pennsylvania, USA in 2002. Since then, they established a viable and rapidly growing population that is expanding its range throughout the river system. Although the predatory effects of invasive catfishes on native fish communities have been documented, the effects of invasion on riverine food webs is poorly understood. The goal of this study was to quantify the effects of invasive flathead catfish on the trophic position and isotopic niche space of components of the Susquehanna River food web by comparing invaded and non-invaded sites within the system. This data release is comprised of three .csv files containing data resulting from this study. 
The .csv file "sia.dat" contains stable isotope data collected from multiple components of the Susquehanna River food web, including primary producers, crayfish, minnows, channel catfish, flathead catfish, and smallmouth bass. Sampling took place during the summers of 2022 and 2023 across predetermined locations along the Susquehanna River, Pennsylvania. The stable isotope ratios in this dataset provide insights into trophic relationships and potential impacts of invasive flathead catfish on the river’s food web structure and energy flow. Data includes stable isotope values of carbon and nitrogen, offering valuable baseline information for ecological analysis and monitoring of invasive species impact.
The .csv file "SIA_community_sampling_data_2023.csv" contains community sampling data for a stable isotope analysis of fish collected from the Susquehanna River, Pennsylvania, over the 2022 and 2023 sampling seasons. Each entry includes the date of collection, sampling location, species identification, measurements of length and weight for individual samples, and other notes about the sample if applicable. PFAS Barcode indicates a sample id for a separate project. This dataset does not include flathead catfish.
The .csv file "FHC_site_info.csv" contains geographical coordinates for each sampling location associated with the study of flathead catfish (Pylodictis olivaris) in the Susquehanna River. This file includes precise latitude and longitude measurements, allowing for accurate mapping and spatial analysis of the sampling sites. The dataset serves as a foundational reference for understanding the distribution of flathead catfish within the river system and facilitates further ecological assessments and research related to their impact on local food webs.

Tags: biota, food-web, river, stable-isotope, susquehanna, usgs-672b8474d34e16b32e738096
Organization: Department of the Interior
Bathymetric and Topographic Surveys at Black Canyon Reservoir, Gem County, Idaho, 2024

In August 2024, the U.S. Geological Survey Idaho Water Science Center (USGS IDWSC), in cooperation with the United States Bureau of Reclamation (USBR), completed bathymetric and topographic surveys at Black Canyon Reservoir near Emmett, Idaho using a multibeam sonar and boat-mounted Light Detection and Ranging (LiDAR). The bathymetric and topographic data generally include complete data coverage from Black Canyon Dam to Black Canyon Park with sparse data coverage upstream of Black Canyon Park and data represent conditions on August 19-20, 2024 when the water surface elevation was steady at about 2,497.8 feet (Reclamation Project Vertical Datum). Prior to the bathymetric and topographic surveys, USBR completed aerial surveys using uncrewed aircraft systems to collect aerial imagery and develop elevation models using structure from motion techniques. These aerial surveys were completed on November 28-29, 2023 during a period of reservoir pool drawdown when the water surface elevation was between about 2,461 feet and 2,465.7 feet (Reclamation Project Vertical Datum). While these topographic elevation data provided high-resolution and spatially expansive coverage, the structure from motion technique does not perform well for reconstructing submerged topography. As such, IDWSC was tasked with collecting bathymetric data in areas where elevation data could not be reconstructed from aerial surveys. Collectively, bathymetric data from USGS IDWSC and topographic data from USBR may be used for further improvement of existing reservoir stage-capacity relationships of Black Canyon Reservoir.

Tags: bathymetry, black-canyon-reservoir, deposition, elevation, geomorphology, hydrographic-dataset, hydrology, hypack, hysweep, id, idaho, inlandwaters, multibeam-sonar, payette-river, scour, topography, usa, usgs, usgs-6724eaded34e4f57573f2a01
Organization: Department of the Interior
P10_Nov2012_Oct2014: Fire Island, NY pre- and post- storm cross-shore profiles from November 2012 to October 2014.

This spreadsheet consists of Fire Island, NY pre- and post- storm cross-shore profiles collected from November 2012 to October 2014. This dataset contains a set of cross-shore profiles covering 14 dates from November 04 2012 to October 07 2014. As part of the assessment of beach and dune morphologic change associated with Hurricane Sandy and the series of winter storms that followed, DGPS elevation data were collected along ten shore-perpendicular profiles extending from just inland of the crest of the dune to the low-tide swash zone. Profile elevations were surveyed one day prior to landfall* (October 28, 2012), three and four days immediately after the storm* (November 01/02 2012), and at monthly and bi-monthly intervals for 24 months (to October 2014) in order to capture both the initial impact of the event and the ongoing recovery of the beach system. Monitoring is ongoing, and this data series will be updated as future surveys are completed. *Data were not able to be collected at this location (P10) for October 28 2012, and Nov 01 2012.

Tags: accretion, atlantic-ocean, beach-profile, coastal-processes, cross-shore-profile, effects-of-coastal-change, environment, erosion, fire-island, fire-island-lighthouse, fire-island-national-seashore, geology, geoscientificinformation, hurricane-sandy-oct-2012, hurricanes, hurricanes-and-typhoons, monitoring, national-park-service, new-york, northeast-region, oceans, oceans-and-coastal, oceans-and-estuaries, shoreline-accretion, shoreline-erosion, st-petersburg-coastal-and-marine-science-center, storm-erosion, u-s-geological-survey, usgs-6727e047-e6df-4d80-bce3-91d753cd52da, winter-storms
Organization: Department of the Interior
Measures of air temperature, humidity and rainfall across an altitudinal gradient in South Kona, Island of Hawai'i, 1995 - 2000

This data release provides locations and measurements of air temperature, humidity and rainfall from 5 weather stations that were placed across an altitudinal gradient along Waiea Tract Road, a gravel road maintained by McCandless Ranch that parallels the southern boundary of the Kona Unit of Hakalau Forest National Wildlife Refuge.  This XML describes three different CSV datasets: (i) Environmental Data - Weather Station Locations.CSV, (ii) Environmental Data - Temperature and Humidity.CSV, and (iii) Environmental Data - Rainfall.CSV. The data were collected between 1995 - 2000.

Tags: avipoxvirus, biota, culex-quinquefasciatus, island-of-hawaii, kona-unit-hakalau-forest-national-wildlife-refuge, plasmodium-relictum, south-kona, southern-house-mosquito, usgs-67259ed8d34e4f57573f87bf
Organization: Department of the Interior
LANDFIRE 2023 Existing Vegetation Type (EVT) CONUS

LANDFIRE's (LF) 2023 update (LF 2023) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. See the EVT product page (https://landfire.gov/vegetation/evt) for more information about ecological systems and NVC classifications.  
EVT is mapped using decision tree models, field data, Landsat imagery, topography, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse, and other site-specific EVTs are constrained by predetermined masks. 
In LF 2023 Conterminous United States (CONUS) extent, LF will map the lifeform, cover, and height of existing vegetation in areas that were mapped as disturbed over the last twenty years (see LF Annual Disturbance products) using machine learning methods. These disturbed areas were the focus because they are the areas that have changed the most since LF 2016 Remap. To learn more about this new methodology for LF EVC, EVH, and Existing Vegetation Type (EVT) go to https://www.landfire.gov/data/lf2023.

Tags: biota, conterminous-united-states, continental-u-s, conus, evt, existing-vegetation-type, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-67251784d34e4f57573f4bf9
Organization: Department of the Interior
Average Annual Loads and Yields of Nitrate and Phosphorus from Illinois Watersheds (HUC8s) for Three Periods between 1997 and 2022

This data release supports "Diverging trends in nitrate and phosphorus loads and yields across Illinois watersheds, 1997–2022" (Kamrath and others, 2024) and the State of Illinois's Nutrient Loss Reduction Strategy (NLRS; IEPA and others, 2015). This data release contains estimates of incremental nitrate (NO3) and total phosphorus (TP) loads and yields for 49 watersheds in Illinois, defined using 8-digit hydrologic unit codes (HUC8; Jones and others, 2022). An "incremental" load or yield represents the load or yield attributable to each HUC8 watershed area determined by removing nested upstream drainage areas where present. For each HUC8 this data release also includes the proportion of the incremental load attributable to point and nonpoint sources, the proportion of the total phosphorus load attributable to dissolved and particulate phosphorus, and water yields. Data are provided as average annual values for three periods between 1997 and 2022: water years 1997–2011 (the baseline period used in the initial NLRS; IEPA and others, 2015), 2012–2017 (the period of previous update reported in the NLRS 2019 biennial report; IEPA and others, 2019), and 2018–2022 (the recent update). Data in "avg_loads_yields.csv" contains average annual loads (million pounds per year) and yields (pounds per acre per year) for each nutrient of interest, HUC8, and period. Data in "avg_water_yield.csv" contains average annual water yields (inches per year) for each HUC8 and period. Data in "avg_Pspecies.csv" contains the percentage of the TP loads attributable to dissolved and particulate phosphorus for each HUC8 and period. Supporting datasets include "site_list.csv," which contains the descriptions of each Illinois HUC8 and "site_calc_m23.csv," which contains the associated USGS and IEPA water quality sites used for HUC8-based computations
IEPA, IDOA, and University of Illinois Extension, 2015, Illinois Nutrient Loss Reduction Strategy. Illinois Environmental Protection Agency and Illinois Department of Agriculture; Springfield, Illinois. University of Illinois Extension; Urbana, Illinois.
IEPA, IDOA, and University of Illinois Extension, 2019, Illinois Nutrient Loss Reduction Strategy Biennial Report 2019: IISG19-RCE-RLA-071, accessed at https://epa.illinois.gov/content/dam/soi/en/web/epa/topics/water-quality/watershed-management/excess-nutrients/documents/nlrs-biennial-report-2019-final.pdf.
Jones, K.A., Niknami, L.S., Buto, S.G., and Decker, D., 2022, Federal standards and procedures for the national Watershed Boundary Dataset (WBD) (5 ed.): U.S. Geological Survey Techniques and Methods 11-A3, 54 p., https://pubs.usgs.gov/tm/11/a3/.
Kamarath and others, 2024 placeholder

Tags: biota, huc8-watersheds, illinois, nitrate, nutrients, total-phosphorus, usgs-6724f5c1d34e4f57573f2c7d, water-quality
Organization: Department of the Interior
LANDFIRE 2023 Existing Vegetation Height (EVH) CONUS

LANDFIRE's (LF) 2023 update (LF 2023) Existing Vegetation Height (EVH) represents the average height of the dominant vegetation for a 30-m cell. EVH is produced separately for tree, shrub, and herbaceous lifeforms using training data depicting the weighted average height by species cover and Existing Vegetation Type (EVT) lifeform. Decision tree models using field reference data, lidar, and Landsat are developed separately for each lifeform, then lifeform specific height class layers are merged along with land cover into a single EVH product based on the dominant lifeform of each pixel. EVH ranges are continuous for the herbaceous lifeform category ranging from 0.1 to 1 meter with decimeter increments, 0.1 to 3 meters for shrub lifeform, and 1 to 99 meters for tree lifeform. If the height values of each lifeform exceed the continuous value range, they are binned into the appropriate maximum height class. EVH is then reconciled through QA/QC measures to ensure lifeform is synchronized with Existing Vegetation Cover (EVC). 
In LF 2023 Conterminous United States (CONUS) extent, LF will map the lifeform, cover, and height of existing vegetation in areas that were mapped as disturbed over the last twenty years (see LF Annual Disturbance products) using machine learning methods. These disturbed areas were the focus because they are the areas that have changed the most since LF 2016 Remap. To learn more about this new methodology for LF EVC, EVH, and Existing Vegetation Type (EVT) go to https://www.landfire.gov/data/lf2023.

Tags: biota, conterminous-united-states, continental-u-s, conus, evh, existing-vegetation-height, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6725153dd34e4f57573f4a56
Organization: Department of the Interior
LANDFIRE 2023 Scott and Burgan Fire Behavior Fuel Model (FBFM40) CONUS

LANDFIRE's 2023 Update (LF 2023) 40 Scott and Burgan Fire Behavior Fuel Models (FBFM40) product represents distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes, and fuel types (Scott and Burgan 2005). The fuel models are described by the most common fire carrying fuel type (grass, grass/shrub, brush, timber, or slash), loading and surface area-to-volume ratio by size class and component, fuel bed depth, and moisture of extinction. FBFM40 contains more fuel models for every fuel type than 13 Anderson Fire Behavior Fuel Models (FBFM13) and the number of fuel models representing relatively high dead fuel moisture content is increased. In FBFM40 fuel models with an herbaceous component are dynamic, to simulate curing, rather than remaining constant. To create the FBFM40 product, expert rulesets were developed to understand how different types of disturbance would change pre-disturbance fuel models to post disturbance fuels, based on the severity and time since disturbance. These rulesets are represented in the LF Total Fuel Change (LFTFC) Tool and Database for both disturbed and non-disturbed areas. In LF 2023 non-disturbed fuels are the same as LF 2016 Remap for natural vegetation. 
To designate disturbed areas where FBFM40 is modified, the aggregated Annual Disturbance products from 2014 to 2023 in the LF Fuel Disturbance (FDist) product are used. All existing disturbances between 2014-2023 are represented in LF 2023, and the products are intended to be used in 2024 (the year of release).  
When using any product from the LF 2023 fuel product suite, users should consider adjusting fuel layers for disturbances that occurred after the end of the 2023 fiscal year (after October 1st, 2023). Disturbances that occurred after the end of the 2023 fiscal year are not accounted for within LF 2023 fuel products. Learn more about LF 2023 at https://www.landfire.gov/data/lf2023.

Tags: biota, conterminous-united-states, continental-u-s, conus, fbfm, fbfm40, fire-behavior-fuel-model-40, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, raster-digital-data, remote-sensing, scott-and-burgan-fire-behavior-fuel-model, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-67251304d34e4f57573f48f6
Organization: Department of the Interior