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Dataset results
22 results for “usfs”
NRCS-USFS Soil Moisture Measurements - Fernow Experimental Forest, WV, 2022-2025
This dataset consists of soil moisture (volumetric water content and water potential), temperature, and electrical conductivity measurements at multiple depths within 20 soil pedons distributed across Watersheds 4, 5, 6, and 7 at the Fernow Experimental Forest from September 2022 to June 2025. This work is a part of a larger partnership between the U.S. Forest Service (USFS) and the Natural Resources Conservation Service (NRCS) to install, monitor and generate long-term soil moisture datasets across multiple forested watersheds in the U.S. Associated data packages from both the Coweeta Hydrologic Laboratory and Hubbard Brook Experimental Forest can be found on the EDI Data Portal. Dataset contributors: Fernow site selection and project planning conducted by Ben Rau (USFS), Ann Tan (NRCS), and James Leonard (NRCS). Megan Thomas (NRCS) and Joel Gebhard (NRCS) assisted with site installation. Site visits, data downloading, and logger maintenance was by Tyler Sharretts (USFS) and Chris Cassidy (USFS). The dataset was curated by Emily Piche (USFS, ORISE) and Amanda Pennino (NRCS). Overall partnership initiation and project management was by Stephanie Connolly (USFS) and Skye Wills (NRCS).
NRCS-USFS Soil Moisture Measurements - Hubbard Brook Experimental Forest, 2023-2025
This dataset consists of soil moisture (volumetric water content and water potential), temperature, and electrical conductivity measurements at multiple depths within 12 soil pedons distributed across Watersheds 3, 6, and 9 at Hubbard Brook Experimental Forest from July 2023 to June 2025. This work is a part of the Forest Soil Moisture Monitoring Network (FSMMN), which is an interagency partnership between the U.S. Forest Service and the Natural Resources Conservation Service (NRCS) to install, monitor and generate long-term soil moisture datasets across multiple forested watersheds in the U.S. Dataset contributors: Hubbard Brook site selection and project planning was conducted by Amanda Pennino (NRCS), Scott Bailey (Virginia Tech) and Mark Green (Case Western). Site visits, data downloading, and logger maintenance was by Lucy Zendzian (NRCS), Paul Gadecki (NRCS), and Jack Ferrara (NRCS). The dataset was curated by Emily Piche (USFS, ORISE) and Amanda Pennino (NRCS). Overall partnership initiation and project management was by Stephanie Connolly (USFS) and Skye Wills (NRCS).
NRCS-USFS Soil Moisture Measurements - Coweeta Hydrologic Laboratory, NC, 2022-2025
This dataset consists of soil moisture (volumetric water content and water potential), temperature, and electrical conductivity measurements at multiple depths within 12 soil pedons distributed across Watersheds 32 and 7 at the Coweeta Hydrologic Laboratory from March 2022 to April 2025. This work is a part of a larger partnership between the U.S. Forest Service (USFS) and the Natural Resources Conservation Service (NRCS) to install, monitor and generate long-term soil moisture datasets across multiple forested watersheds in the U.S. Associated data packages from both the Fernow and Hubbard Brook Experimental Forests can be found on the EDI Data Portal. Dataset contributors: Project planning led by Carlos Quintero (USFS, ORISE), with help from Amos Stead (NRCS) and Tiffany Allen (NRCS) in site selection. Scientific and logistical support from Chris Oishi (USFS), Amanda Pennino (NRCS), and Erin Rooney (NRCS). Seth Strickland (USFS), Amos Stead (NRCS), Ann Tan (NRCS), and Tiffany Allen (NRCS) assisted with site installation. Site visits, data downloading, and logger maintenance was by Seth Strickland (USFS). The dataset was curated by Emily Piché (USFS, ORISE) and Amanda Pennino (NRCS). Overall partnership initiation and project management was by Stephanie Connolly (USFS) and Skye Wills (NRCS)
ClimHyrdoDB Archive: Meteorologic and hydrologic observations from LTER and USFS sites, 2001-2020 - orignal database format
This dataset is an archive of the ClimHydroDB database, which was actively used from early 2001 to mid 2020. The database contained contributions from 62 contributors (primarily from the LTER Network and US Forest Service) and 672 research sites. Data records total approximately 16 million (raw) or 1.6 million (aggregated) for 22 meteorologic or hydrologic variables. This archive contains the 23 core tables of the ClimHydroDB database as text tables of comma separated values, plus the database entity relationship diagram (ERD), User Guide, database table descriptions (DDL, SQL script), and a zip file of related documents and presentations. Database design: At last upgrade, the database was implemented in Microsoft SQL Server 2008 (see DDL for more information). Database tables are primarily in a key-value pair arrangement, with controlled input for many fields, and extensive cross referencing. This design allows many types of descriptors to be assigned, e.g., for the types of activities taking place at research stations, or for physical parameters to describe a research area itself. The EML metadata for tables holding controlled vocabularies are described using the string “List of …”. Cross reference tables are described in metadata as such, including the parent table names. Database history: To facilitate intersite research within the LTER network, site data managers developed a system to provide climatic summaries dynamically, called ClimDB. Later funding from the U. S. Forest Service allowed the original database to be expanded to include hydrologic variables, and the combined database was renamed ClimHydroDB in 2003. The database also harvested real-time streamflow data from USGS gauging stations, using code developed by the Georgia Coastal Ecosystem LTER. As of 2021, the ClimHydroDB content is available as data packages from individual contributing sites, each containing identically formatted text tables in the ODM 1.1 format, for integration with CUAHSI tools
NOAA's National Climatic Data Center including daily precipitation and USFS RDA datasets
This dataset was originally established as a subset of relevant NOAA daily precipitation data. This has been replaced with links to NOAA station websites which contain this data, please visit these links in the dataset file here. Previously, daily precipitation for 5 stations in or near the LEF were compiled from the NOAA National Climate Data Center and posted here. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
NOAA's National Climatic Data Center including maximum temperature and USFS RDA datasets
This dataset was originally established as a subset of relevant NOAA monthly average maximum air temperature data. This has been replaced with links to NOAA station websites which contain this data, please visit these links in the dataset file here. Previously, maximum air temperature at two stations in or near the LEF were compiled from the NOAA National Climate Data Center and posted here. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
NOAA's National Climatic Data Center including minimum temperature and USFS RDA datasets
This dataset was originally established as a subset of relevant NOAA monthly average minimum air temperature data. This has been replaced with links to NOAA station websites which contain this data, please visit these links in the dataset file here. Previously, minimum air temperature at two stations in or near the LEF were compiled from the NOAA National Climate Data Center and posted here. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Feral Muscovy and Mallard Tracking Data at USF
<p>Tracking data collected as a part of published study. </p> <p> </p> <p>Joni Downs, Mehrdad Vaziri, Lucy Deba Enomah, and Zachary J. Smith. 2021. Habitat use and movements of feral Mallards (Anas platyrhynchos) and invasive Muscovy ducks (Cairina moschata) in Tampa, Florida. Florida Field Naturalist 49(2): 35-45.</p>
SBC LTER: Land: Hydrology: Santa Barbara County Flood Control District - Precipitation at San Marcos Pass USFS Stn (SanMarcosPass212)
Precipitation was collected by the Santa Barbara County Flood Control District at San Marcos Pass USFS Stn (SanMarcosPass212) in the Santa Barbara coastal area. Data are reported hourly, and times reflect the end of the each 1-hour interval. For more information, see https://www.countyofsb.org/pwd/hydrology.sbc
Text-fig. 4. Extant Fraxinus fruits and other groups with similar fruits. a: Ventilago leiocarpa BENTH. (KUN 06190258); b: Liriodendron chinense (HEMSL.) SARG. (KUN 0040571); c: Plenckia populnea REISSEK (K 000537359); d: Fraxinus nigra MARSHALL (KUN 0937878); e: F. anomala TORR. ex S.WATSON (RSA 0064862); f: F. gooddingii LITTLE (USFS 0030124); g: F. platypoda OLIV. (KUN 0027753); h: F. malacophylla HEMSL. (K 000901679); i: F. chinensis ROXB. (KUN 0027530). Scale bar = 1 cm. in Fraxinus L. (Oleaceae) Fruits From The Early Oligocene Of Southwest China And Their Biogeographic Implications
Text-fig. 4. Extant Fraxinus fruits and other groups with similar fruits. a: Ventilago leiocarpa BENTH. (KUN 06190258); b: Liriodendron chinense (HEMSL.) SARG. (KUN 0040571); c: Plenckia populnea REISSEK (K 000537359); d: Fraxinus nigra MARSHALL (KUN 0937878); e: F. anomala TORR. ex S.WATSON (RSA 0064862); f: F. gooddingii LITTLE (USFS 0030124); g: F. platypoda OLIV. (KUN 0027753); h: F. malacophylla HEMSL. (K 000901679); i: F. chinensis ROXB. (KUN 0027530). Scale bar = 1 cm.
Linked collectors and determiners for: University of South Florida Herbarium (USF).
Natural history specimen data linked to collectors and determiners held within, "University of South Florida Herbarium (USF)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/af1b4db0-c8ce-4a95-b700-8a6a02bed9d6">https://bionomia.net/dataset/af1b4db0-c8ce-4a95-b700-8a6a02bed9d6</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/af1b4db0-c8ce-4a95-b700-8a6a02bed9d6">https://gbif.org/dataset/af1b4db0-c8ce-4a95-b700-8a6a02bed9d6</a>. Formatted as a Frictionless Data package.
Database of a pilot USF developed in the Flexsim Healthcare program.
<p>The database presented is included in my master's thesis project. This includes data from simulated query times over a year. Five different tables (0, 1, 2, 3 and 4) are presented with the application of different variations in patient arrivals and time of appointments.</p>
USF Hemostasis: USage of HemCon for Femoral Hemostasis After Percutaneous Procedures
ClinicalTrials.gov study NCT00716365. IPD Sharing: Not stated. Countries: 1. Publications: 3.
USFS Durham Lab water analysis method detection limit (MDL) limit of quantification (LOQ), 2010 - present
This dataset documents limits in the precision of water analyses produced by the USFS, NRS lab in Durham, NH. Generally precision of water analyses is limited at low concentrations due to limits of detection or limits of precise quantification. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
USF OmicsHub Metagenomics Workshop demo-data
<p>small demo dataset for metagenomics workshop.</p>
The Effect of Irrisept for Irrigation of Skin and Soft Tissue Infections (Irrisept USF Study)
ClinicalTrials.gov study NCT01076049. IPD Sharing: NO. Countries: 1. Publications: 0.
Genome-wide analyses in neuronal cells reveal that USF transcription factors regulate lysosomal gene expression
GEO Series GSE76617. Mus musculus. 12 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by genome tiling array.
Genome-wide analyses in neuronal cells reveal that USF transcription factors regulate lysosomal gene expression [ChIP-chip]
GEO Series GSE76616. Mus musculus. 6 samples. Type: Genome binding/occupancy profiling by genome tiling array.
A Study of Detection of Paroxysmal Events Utilizing Computer Vision and Machine Learning (USF)
ClinicalTrials.gov study NCT06705439. IPD Sharing: NO. Countries: 1. Publications: 0.
Feasibility Study of Ablathermy Focused Ultrasound (USF) of Breast Tumors Before Mastectomy
ClinicalTrials.gov study NCT01827969. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.