cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60594/w4sg60
title: Vegetation Biomass and Voxel Data from the 2022 Department of Defense Wildland Fire Science Initiative Fort Stewart Campaign

description: To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive 3D clip plots were sampled across the F units. This dataset provides vegetation biomass, occupied volume, and fuel type data collected before (February 2022) and after (March 2022) the prescribed burns.This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Fort Stewart-Hunter Army Airfield from March 2 to 5, 2022. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset “Fort Stewart 2022: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information about the campaign (see Annotations section for has Metadata link).
DOI: 10.15468/dl.zvmrwc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pachytriton airobranchiatus Li, Yuan, Li & Wu, 2018"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002393-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15089671
title: arellano-bond model

description: Data on the effect of synchronization on the amplitude phases of regional business cycles in emerging economies (Brazil, Colombia, South Korea, and Mexico).
DOI: 10.5281/zenodo.15089672
title: arellano-bond model

description: Data on the effect of synchronization on the amplitude phases of regional business cycles in emerging economies (Brazil, Colombia, South Korea, and Mexico).
DOI: 10.60594/w4x598
title: Aerosol Data: Particulate Matter (PM2.5) mass and Black carbon (BC) concentrations and Gas Phase Data: Carbon monoxide, Ozone, and Nitrogen oxides measured at Fort Stewart in 2024 during prescribed burning events

description: The data is collected at one Georgia Tech (GT) instrumented trailer and one University of Central Florida (UCF) instrumented trailer located at different locations (shown in the locations information) from February 9 till 11, 2024. Trailer was set in the mentioned locations based on the planned burns of units E16.2 and E16.3 on February 10. This data was collected to improve the characterization of Ozone (O3) and Particulate matter (PM) formation in prescribed fire plumes through measurement.Particulate matter with aerodynamic diameters less than 2.5 µm (PM2.5) mass was measured using a Tapered Element Oscillating Microbalance (TEOM) series 1400a ambient particulate monitor (Thermo Fisher Scientific) and Black carbon (BC) concentration was measured using a 7-wavelength aethalometer model AE31 and AE33 (Magee Scientific). Carbon monoxide (CO) was measured using IR analyzer (Thermo Fisher Scientific Inc, model 48C). O3 was measured using UV analyzer (Thermo Fisher Scientific Inc, model 49C). Nitrogen oxides (NOx) was measured using Chemiluminescence analyzer (Thermo Fisher Scientific Inc, 42i).This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Fort Stewart from 2-8-2024 to 2-10-2024. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset “Fort Stewart 2024: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information about the campaign (see Annotations section for hasMetadata link).
DOI: 10.5066/p1xthz7d
title: Digital elevation models for the Everglades Depth Estimation Network with elevation uncertainty treatment (ver. 2.0, March 2025)

description: The Everglades Depth Estimation Network (EDEN) produces daily depth estimates for the Greater Everglades. This data release includes geospatial data to produce depth estimates for the EDEN from updated digital elevation models. The data release includes three main types of data: 1) 10-m digital elevation models (DEMs) with elevation uncertainty treatment; 2) 50-m DEMs with elevation uncertainty treatment; and 3) spatial metadata for the DEMs used. Specifically, this dataset includes accuracy information by zone. These data address elevation error by using Monte Carlo simulations with 1,000 iterations with observations of elevation error in vegetated wetlands and assumptions error in vegetated non-wetland areas and non-vegetated areas. On a per-pixel basis, we created raster surfaces that represented the minimum elevation, maximum elevation, and percentiles (1 to 99). We determined the “best” elevation percentiles for each EDEN zone (Haider and others, 2020) based on the mean bias error, which was calculated for the difference between the USGS high-accuracy elevation dataset (HAED; Jones and Price, 2007) and the DEM. In this case, the percentile DEM with the mean bias error closest to zero for each zone was selected. All zones were combined to create a seamless mosaic. For each zone, upper and lower elevation estimates were determined based on a general rule that selected the percentile that was the farthest from the “best” percentile but had a mean bias error that was within (+/-) 5 cm. Areas in lower and upper estimate DEMs that have “NoData” values indicate that there was no percentile that could be used to satisfy this rule. For example, a zone may not have a lower estimate if the “best” estimate was the minimum raster. A zone may not have an upper estimate if the next percentile had a mean bias error that was greater than 5 cm.

First release: 2024
​Revised: March 2025 (ver. 2.0)
DOI: 10.5281/zenodo.15090427
title: Low frequency microelectrode array (MEA) recordings of magnetic nanoparticle actuation in mycelial biofilms of Hericium erinaceus
DOI: 10.5281/zenodo.15090428
title: Low frequency microelectrode array (MEA) recordings of magnetic nanoparticle actuation in mycelial biofilms of Hericium erinaceus
DOI: 10.60594/w45p4q
title: Transect Data from the 2022 Department of Defense Wildland Fire Science Initiative Fort Stewart Campaign

description: To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample coarse woody debris, fuel types, and fuelbed heights across the F units. This dataset provides transect data collected before (February 2022) and after (March 2022) the prescribed burns.This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Fort Stewart from March 2 to 5, 2022. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset “Fort Stewart 2022: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information about the campaign (see Annotations section for has Metadata link).
DOI: 10.15468/dl.6psv9t
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis guigna Molina, 1782"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002394-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b625xg
title: Occurrence Download

description: A dataset containing 5630 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Coleção de Referência de Fauna de Solo"
 ]
}

 The dataset includes 5630 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002395-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60594/w49g6n
title: Aerosol Data: Particulate Matter (PM2.5) mass and Black Carbon (BC) concentrations and Gas phase Data: Carbon monoxide and Ozone measured at Eglin Air force base in 2023 during prescribed burning events.

description: The data is collected at one Georgia Tech instrumented trailer located at three different locations (shown in the locations information) from March 10 till 20, 2023. Trailer was set in the mentioned locations based on the planned burn unit G25 on March 11 and 16, and unit G20 on March 19. This data was collected to improve the characterization of O3 and PM formation in prescribed fire plumes through measurement.Particulate matter with aerodynamic diameters less than 2.5 µm (PM2.5) mass was measured using a Tapered Element Oscillating Microbalance (TEOM) series 1400a ambient particulate monitor (Thermo Fisher Scientific) and Black Carbon (BC) concentration was measured using a 7-wavelength aethalometer model AE33 (Magee Scientific). Carbon monoxide (CO) was measured using IR analyzer (Thermo Fisher Scientific Inc, model 48C). Ozone (O3) was measured using UV analyzer (Thermo Fisher Scientific Inc, model 49C).This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Eglin Air Force Base from 3-11-2023 to 3-19-2023. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset “Eglin Air Force Base 2023: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information about the campaign (see Annotations section for hasMetadata link).
DOI: 10.15468/dl.7fmydg
title: Occurrence Download

description: A dataset containing 2319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "OccurrenceStatus is Present",
 "TaxonKey is Anguis Linnaeus, 1758"
 ]
}

 The dataset includes 2319 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002396-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1127878
title: Images and GIS Data from an Archaeological Evaluation at Suffolk Business Park Field 1, Plot 700, Rougham, Suffolk, August 2019

description: This collection comprises images and GIS data from an archaeological evaluation at Suffolk Business Park, Field 1, Plot 700, Rougham Site, Bury St Edmunds, Suffolk undertaken by Cotswold Archaeology in August 2019. The archaeological remains and artefacts present on the site have the potential to add to the "medieval field systems; rural settlement diversity and households" priorities set out in the Regional Research Framework, and to add to our understanding the spatial distribution of medieval settlement across the wider Rougham landscape.
DOI: 10.15468/dl.5yxzr7
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clavulina iris Loizides, Bellanger & P.-A.Moreau"
 ]
}

 The dataset includes 992 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002398-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/5azk-8p5r
title: Measurement of Inorganics in air and particle phase at Penausende

description: Measurement of Inorganics in air and particle phase at Penausende
DOI: 10.48597/42wh-n7ew
title: Measurement of Inorganics in air and particle phase at Cabo de Creus

description: Measurement of Inorganics in air and particle phase at Cabo de Creus
DOI: 10.48597/y94n-42yj
title: Inorganics in air and particle phase at Cabo de Creus

description: Measurement of Inorganics in air and particle phase at Cabo de Creus
DOI: 10.48597/4j42-krq3
title: Measurement of Inorganics in air and particle phase at Penausende

description: Measurement of Inorganics in air and particle phase at Penausende
DOI: 10.48597/9u9d-cpmt
title: Measurement of Inorganics in air and particle phase at Penausende

description: Measurement of Inorganics in air and particle phase at Penausende
DOI: 10.48597/by8y-ntxy
title: Inorganics in air and particle phase at Penausende

description: Measurement of Inorganics in air and particle phase at Penausende
DOI: 10.48597/48vg-9spy
title: Measurement of Inorganics in air and particle phase at Cabo de Creus

description: Measurement of Inorganics in air and particle phase at Cabo de Creus
DOI: 10.48597/bdwa-scmb
title: Measurement of Inorganics in air and particle phase at Barcarrota

description: Measurement of Inorganics in air and particle phase at Barcarrota
DOI: 10.48597/bryk-nhac
title: Inorganics in air and particle phase at Barcarrota

description: Measurement of Inorganics in air and particle phase at Barcarrota
DOI: 10.48597/9d4a-25r6
title: Measurement of Inorganics in air and particle phase at Penausende

description: Measurement of Inorganics in air and particle phase at Penausende
DOI: 10.48597/ezhr-j855
title: Measurement of Inorganics in air and particle phase at Barcarrota

description: Measurement of Inorganics in air and particle phase at Barcarrota
DOI: 10.15468/dl.jchcjb
title: Occurrence Download

description: A dataset containing 9811 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección, preservación y caracterización de cultivares criollos de origen español de trigo y centeno de México"
 ]
}

 The dataset includes 9811 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002399-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14264352
title: MAMAP2D-Light methane column anomalies NetCDF4 and KMZ (28.09.2024)

description: MAMAP2D-Light methane column anomalies (28.09.2024) NetCDF4 files consist of methane column anomalies retrieved with the WFM-DOAS retrieval for aircraft instruments in the version "PyWFMD v0.2502_jb", alongside additional metadata and geolocation information. All necessary information is stored in the NetCDF4 attributes and variables.

 

The KMZ files are quicklook data of the CH4 column anomalies.

 

Additional information on the data set can be found in the attached Readme.md
DOI: 10.5281/zenodo.14264351
title: MAMAP2D-Light methane column anomalies NetCDF4 and KMZ (28.09.2024)

description: MAMAP2D-Light methane column anomalies (28.09.2024) NetCDF4 files consist of methane column anomalies retrieved with the WFM-DOAS retrieval for aircraft instruments in the version "PyWFMD v0.2502_jb", alongside additional metadata and geolocation information. All necessary information is stored in the NetCDF4 attributes and variables.

 

The KMZ files are quicklook data of the CH4 column anomalies.

 

Additional information on the data set can be found in the attached Readme.md
DOI: 10.5281/zenodo.15090451
title: MAMAP2D-Light methane column anomalies NetCDF4 and KMZ (28.09.2024)

description: MAMAP2D-Light methane column anomalies (28.09.2024) NetCDF4 files consist of methane column anomalies retrieved with the WFM-DOAS retrieval for aircraft instruments in the version "PyWFMD v0.2502_jb", alongside additional metadata and geolocation information. All necessary information is stored in the NetCDF4 attributes and variables.

 

The KMZ files are quicklook data of the CH4 column anomalies.

 

Additional information on the data set can be found in the attached Readme.md
DOI: 10.15468/dl.dpz665
title: Occurrence Download

description: A dataset containing 11694 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla eximia Baird, 1854"
 ]
}

 The dataset includes 11694 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002400-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vf5zp
title: Occurrence Download

description: A dataset containing 2020 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eragrostis polytricha Nees"
 ]
}

 The dataset includes 2020 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002401-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60594/w43012
title: Field measurements of fire behavior; fire radiative power and energy from infrared cameras for Fort Stewart 2024

description: Field measurements collected during the 2024 study fires at Fort Stewart to calculate Fire Radiative
 Power (FRP) and Fire Radiative Energy (FRE) from infrared cameras in sandhill longleaf pine. These field
 observations were co-located with three-dimensional fuel and laser scan plots to allow for leveraging of
 these other data (see datasets from Loudermilk et al). Radiometers (see dataset from Paki et al) were
 also deployed over the fuel plots at different locations than the infrared cameras and are meant to be
 used with the infrared camera data.
 
 This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at
 Fort Stewart from 2-8-2024 to 2-10-2024. In addition, pre- and post-fire data collection occurred before
 and after these dates. See the most recent version of the contextual dataset “Fort Stewart 2024:
 Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information
 about the campaign (see Annotations section for hasMetadata link).
DOI: 10.15468/dl.vhkykr
title: Occurrence Download

description: A dataset containing 4785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anopheles Meigen, 1818",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4785 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002402-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10822206
title: Slowfeeding dispensers for horses: who, how and why?

description: Slowfeeding dispensers for horses: who, how and why?

 

Published in Journal of Veterinary Behavior : https://doi.org/10.1016/j.jveb.2025.01.006

We surveyed 1,283 french-speaking horse keepers on their slowfeeding practices.Keepers could be either private owners or professionnal yard operators (or both). They could be current users of slowfeeders (SFs), former users or non-users. 

Former- and non-users were asked about their perception of slowfeeding and their former use (for former users). Operators answered few general questions about their yard (number of liveries, housing ...) and their slowfeeding practices.Owners answered questions about their slowfeeding practices and could then fill the questionnaire for up to 5 horses (general information, housing, feeding, training, health).

The questionnaire can be found in Appendix. 

Four (4) datasets were created based on the answers :  DataFormerUsers (n=124), DataOperators (n=229), DataOwners (n=963) and DataHorses (n=1425). The three last ones were the ones used for the analysis of the paper.  DataFormerUsers is a supplementary dataset.

All headers are in english. Some variables were recoded in English, and some are in French.

A "how to read" file describing the different variables is provided with each dataset.
DOI: 10.5281/zenodo.10822207
title: Slowfeeding dispensers for horses: who, how and why?

description: Slowfeeding dispensers for horses: who, how and why?

 

Published in Journal of Veterinary Behavior : https://doi.org/10.1016/j.jveb.2025.01.006

We surveyed 1,283 french-speaking horse keepers on their slowfeeding practices.Keepers could be either private owners or professionnal yard operators (or both). They could be current users of slowfeeders (SFs), former users or non-users. 

Former- and non-users were asked about their perception of slowfeeding and their former use (for former users). Operators answered few general questions about their yard (number of liveries, housing ...) and their slowfeeding practices.Owners answered questions about their slowfeeding practices and could then fill the questionnaire for up to 5 horses (general information, housing, feeding, training, health).

The questionnaire can be found in Appendix. 

Four (4) datasets were created based on the answers :  DataFormerUsers (n=124), DataOperators (n=229), DataOwners (n=963) and DataHorses (n=1425). The three last ones were the ones used for the analysis of the paper.  DataFormerUsers is a supplementary dataset.

All headers are in english. Some variables were recoded in English, and some are in French.

A "how to read" file describing the different variables is provided with each dataset.
DOI: 10.15468/dl.r4y788
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Artibeus inopinatus Davis & Carter, 1964"
 ]
}

 The dataset includes 224 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002403-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60594/w46p41
title: Field measurements of fire behavior; fire radiative power and energy from infrared cameras for Eglin Air Force Base 2023

description: Field measurements collected during the 2023 study fires at Eglin Air Force Base (AFB) to calculate
 Fire Radiative Power (FRP) and Fire Radiative Energy (FRE) from infrared cameras in sandhill longleaf
 pine. These field observations were co-located with three-dimensional fuel and laser scan plots to allow
 for leveraging of these other data (see datasets from Loudermilk et al). Radiometers (see dataset from
 Paki et al) were also deployed over the fuel plots at different locations than the infrared cameras and
 are meant to be used with the infrared camera data.
 
 This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at
 Eglin Air Force Base from 3-11-2023 to 3-19-2023. In addition, pre- and post-fire data collection
 occurred before and after these dates. See the most recent version of the contextual dataset “Eglin Air
 Force Base 2023: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for
 more information about the campaign (see Annotations section for hasMetadata link).
DOI: 10.15468/dl.7ebcmh
title: Occurrence Download

description: A dataset containing 5024 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 },
 "TaxonKey is Metasequoia glyptostroboides H.H.Hu & W.C.Cheng"
 ]
}

 The dataset includes 5024 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002406-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.