cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pn68dv
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAC4543"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035317-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u954zw
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Algeria",
 "Geometry POLYGON((-2.02884 34.14997,9.10826 34.14997,9.10826 37.60819,-2.02884 37.60819,-2.02884 34.14997))",
 "HasCoordinate is true",
 "TaxonKey is Astroides calycularis"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035318-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7tx4d
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAC4542"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035319-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42v2m7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACD1673"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035320-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6f63n
title: Occurrence Download

description: A dataset containing 819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Salmo trutta"
 ]
}

 The dataset includes 819 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035321-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w7war
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAC4545"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035322-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aejsja
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sebastapistes tristis"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035323-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/55sxtn
title: Replication Data for: Big Sisters

description: This is a replication dataset with replication code in Stata and R to accompany the paper "Big Sisters" by Pamela Jakiela, Owen Ozier, Lia C. H. Fernald, and Heather A. Knauer, to appear in the Journal of Human Resources. Previous versions appeared as World Bank Policy Research Working Paper number 9454 and as CGD Working Paper 559.
DOI: 10.15468/dl.au2fhz
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-109.10718 25.67973,-109.12395 25.56183,-109.01666 25.59208,-109.02337 25.67772,-109.10718 25.67973))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 203 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035324-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jd77fy
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sebastapistes oglinus"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035325-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5w08wv7z
title: MassIVE MSV000098776 - Pat2 Mass Spec Results Y154A - Haloferax volcanii
title: Mass spectrometry analysis of Pat2Y154A compared to control strain
DOI: 10.15468/dl.vdexkx
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scorpaena tristis"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035326-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/egmb-rc53
title: "RedImageNet"

description: "RedImageNet is a reduced version of ImageNet-1k provided as a lightweight but still large-scale proxy for Neural Architecture Search. It comprises 500 classes, more than 500k training images and 25k val images, with a reduced resolution of max 192x192. Its storage footprint is 20GB, considerably less than the 146GB of the full ImageNet-1k."
DOI: 10.15468/dl.matd86
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 334 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035328-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16790523
title: Land depression based imprints of historic steppe habitats in the Seewinkel region, Austria

description: Description

Pannonic salt steppes and salt marshes (EUNIS code 1530) or 'Sodapans' are among the rarest habitat types in Europe. They have historically been common in the Seewinkel region of Burgenland, Austria. Because of centuries of human modification of the landscapes only few Sodapans remain to this date. However 'imprints' of historic habitat extent can still persist and be visible from high-resolution digital terrain models (DTMs). Knowledge of such original extents can be useful particular in the context of habitat restoration and specifically rewetting, although many of known sites have been lost since centuries and might not be restorable.In this upload a characteriziation of small-scale depressions in a high-resolution DTM are made through a flood-fill algorithm (following an approach by Wu et al. 2019), cleaned and pre-processed to a spatial vector format. The result is presented in vector format containing small-scale depressions that might (!) indicate historic distribution of Sodapans in the Seewinkel. Data:Derived from a Digital Elevation Model (DTM) obtained from the Austrian state of Burgenland (released under CC-BY 4.0), created from a 5 m (source).Format:Spatial GeoPackage (similar as shapefile). Can be opened in most Geographic Information System software such as QGIS or ArcGIS. Data columns are included that describe a unique id for each identified patch, the indicated area (in m²) and summary statistics (min, max, median, mean) of the local depression depth relative to the surroundings.

Usage notes:



The dataset shows localized terrain depressions which might inidcate a historical or current sodapan. However the landscape in the Seewinkel has been heavily modified since centuries and even terrain imprints are not necessarily an indicator of any natural feature.

Care should thus be taken when using this dataset for further analysis. The author takes no responsibility for errors or misrepresentations. The data is released as such, although further improvements and updates are possible.

Terrain depressions smaller than 5000 m² have been ignored.

Some land depressions likely related to construction activities (e.g. building of houses) or artifical water surfaces or sand pits have been manually removed.


 

The data is released under a CC-BY 4.0 license. The creation of this data was supported by the INSPIRE project funded under the BiodivERsA BiodivProtect call.

When using this dataset, please refer to this repository:



Jung, M. (2025). Land depression based imprints of historic steppe habitats in the Seewinkel region, Austria (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.16790524
DOI: 10.5281/zenodo.16790524
title: Land depression based imprints of historic steppe habitats in the Seewinkel region, Austria

description: Description

Pannonic salt steppes and salt marshes (EUNIS code 1530) or 'Sodapans' are among the rarest habitat types in Europe. They have historically been common in the Seewinkel region of Burgenland, Austria. Because of centuries of human modification of the landscapes only few Sodapans remain to this date. However 'imprints' of historic habitat extent can still persist and be visible from high-resolution digital terrain models (DTMs). Knowledge of such original extents can be useful particular in the context of habitat restoration and specifically rewetting, although many of known sites have been lost since centuries and might not be restorable.In this upload a characteriziation of small-scale depressions in a high-resolution DTM are made through a flood-fill algorithm (following an approach by Wu et al. 2019), cleaned and pre-processed to a spatial vector format. The result is presented in vector format containing small-scale depressions that might (!) indicate historic distribution of Sodapans in the Seewinkel. Data:Derived from a Digital Elevation Model (DTM) obtained from the Austrian state of Burgenland (released under CC-BY 4.0), created from a 5 m (source).Format:Spatial GeoPackage (similar as shapefile). Can be opened in most Geographic Information System software such as QGIS or ArcGIS. Data columns are included that describe a unique id for each identified patch, the indicated area (in m²) and summary statistics (min, max, median, mean) of the local depression depth relative to the surroundings.

Usage notes:



The dataset shows localized terrain depressions which might inidcate a historical or current sodapan. However the landscape in the Seewinkel has been heavily modified since centuries and even terrain imprints are not necessarily an indicator of any natural feature.

Care should thus be taken when using this dataset for further analysis. The author takes no responsibility for errors or misrepresentations. The data is released as such, although further improvements and updates are possible.

Terrain depressions smaller than 5000 m² have been ignored.

Some land depressions likely related to construction activities (e.g. building of houses) or artifical water surfaces or sand pits have been manually removed.


 

The data is released under a CC-BY 4.0 license. The creation of this data was supported by the INSPIRE project funded under the BiodivERsA BiodivProtect call.

When using this dataset, please refer to this repository:



Jung, M. (2025). Land depression based imprints of historic steppe habitats in the Seewinkel region, Austria (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.16790524
DOI: 10.15468/dl.su6a88
title: Occurrence Download

description: A dataset containing 695331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Rumex acetosella"
 ]
}

 The dataset includes 695331 records from 2856 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035303-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpukd6
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Lepidozia cupressina (Sw.) Lindenb."
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250380-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vw98cf
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "InstitutionCode is rbins-scientific heritage",
 "TaxonKey is Lamprologus ornatipinnis Poll, 1949",
 "TypeStatus is one of (Unspecified type, Paratype)"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029644-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7th48m
title: Occurrence Download

description: A dataset containing 872157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67.29533 43.01142,-65.67551 40.89347,-57.19907 43.0836,-56.4359 44.65699,-60.18194 47.0335,-67.29533 43.01142))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 {
 "or" : [
 "Year 2020-2022",
 "Year 2020-2022"
 ]
 }
 ]
}

 The dataset includes 872157 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230584-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3mp35
title: Occurrence Download

description: A dataset containing 62650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glaux maritima L."
 ]
}

 The dataset includes 62650 records from 375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030661-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5ebw4
title: Occurrence Download

description: A dataset containing 36183416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1060.0",
 "Geometry POLYGON((-150.69535 10.67447,-47.24968 10.67447,-47.24968 72.36022,-150.69535 72.36022,-150.69535 10.67447))"
 ]
}

 The dataset includes 36183416 records from 909 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021849-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5a7cqr
title: Occurrence Download

description: A dataset containing 23697123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-124.51249 16.73689,-72.93781 16.73689,-72.93781 40.86564,-124.51249 40.86564,-124.51249 16.73689))"
 ]
}

 The dataset includes 23697123 records from 627 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021848-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7krj38
title: Occurrence Download

description: A dataset containing 83393584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 1950-2025"
 ]
}

 The dataset includes 83393584 records from 1031 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018150-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15173014
title: Grenoble Field Experiment - Geophone and DAS with Simulations

description: This upload contains field data recorded at a site on the Grenoble campus, where a pre-existing buried concrete foundation is present, along with numerical simulations based on the wave equation using the Spectral Element Method (SEM), replicating the site conditions.

Content Overview:





vs, vp, rho_c: Shear wave velocity (vs), compressional wave velocity (vp), and density (rho_c) models used for numerical simulations with the Spectral Element Method (SEM). The mesh consists of 100×100×60 elements, each 1 meter in size, with a free surface at the top and 14 ABS elements included at the edge. The interpolation order is 4. The source is a Ricker wavelet with a central frequency of 125 Hz, expressed by vertical force located at x = 20m, y = 50, z = 0.




d2x_dt2, d2z_dt2, dexx_dt: Synthetic observables from the simulation.





d2x_dt2: Horizontal acceleration in the x-direction




d2z_dt2: Vertical acceleration




dexx_dt: Strain rate calculated using a finite difference approach based on receivers spaced 2 meters apart, matching the experimental setup.These datasets include 30 recordings: 15 located before the foundation and 15 after, each spaced 1 meter apart.






d2x_dt2 (GEO), d2z_dt2 (GEO), dexx_dt (DAS): Field recordings from geophones and DAS. The data have been recorded using 14 Hz geophones and Distributed Acoustic Sensing (DAS) with a 2-meter gauge length and 1-meter channel spacing. Refer to the figure Site_configuration for the layout.





14 total recordings: 7 located before the foundation and 7 after, spaced 2 meters apart starting 13 meters before the foundation.




Signals have been bandpass filtered between 10 Hz and 50 Hz.




 GEO and DAS refer to the instruments used to measure each observable.





 

 

Note: The layout of the receivers in the simulation and the field experiment is nearly identical, with a few differences:





Sensor spacing: 1 meter in the simulation, 2 meters in the field experiment.




Number of sensors: 15 before and 15 after the foundation in the simulation; 7 before and 7 after in the field experiment.




Sensor alignment: In the simulation, all observables were recorded at the same spatial locations. In the field, the geophone and DAS lines were parallel but offset by approximately 30 cm.
DOI: 10.5281/zenodo.15173015
title: Grenoble Field Experiment - Geophone and DAS with Simulations

description: This upload contains field data recorded at a site on the Grenoble campus, where a pre-existing buried concrete foundation is present, along with numerical simulations based on the wave equation using the Spectral Element Method (SEM), replicating the site conditions.

Content Overview:





vs, vp, rho_c: Shear wave velocity (vs), compressional wave velocity (vp), and density (rho_c) models used for numerical simulations with the Spectral Element Method (SEM). The mesh consists of 100×100×60 elements, each 1 meter in size, with a free surface at the top and 14 ABS elements included at the edge. The interpolation order is 4. The source is a Ricker wavelet with a central frequency of 125 Hz, expressed by vertical force located at x = 20m, y = 50, z = 0.




d2x_dt2, d2z_dt2, dexx_dt: Synthetic observables from the simulation.





d2x_dt2: Horizontal acceleration in the x-direction




d2z_dt2: Vertical acceleration




dexx_dt: Strain rate calculated using a finite difference approach based on receivers spaced 2 meters apart, matching the experimental setup.These datasets include 30 recordings: 15 located before the foundation and 15 after, each spaced 1 meter apart.






d2x_dt2 (GEO), d2z_dt2 (GEO), dexx_dt (DAS): Field recordings from geophones and DAS. The data have been recorded using 14 Hz geophones and Distributed Acoustic Sensing (DAS) with a 2-meter gauge length and 1-meter channel spacing. Refer to the figure Site_configuration for the layout.





14 total recordings: 7 located before the foundation and 7 after, spaced 2 meters apart starting 13 meters before the foundation.




Signals have been bandpass filtered between 10 Hz and 50 Hz.




 GEO and DAS refer to the instruments used to measure each observable.





 

 

Note: The layout of the receivers in the simulation and the field experiment is nearly identical, with a few differences:





Sensor spacing: 1 meter in the simulation, 2 meters in the field experiment.




Number of sensors: 15 before and 15 after the foundation in the simulation; 7 before and 7 after in the field experiment.




Sensor alignment: In the simulation, all observables were recorded at the same spatial locations. In the field, the geophone and DAS lines were parallel but offset by approximately 30 cm.
DOI: 10.60594/w4z30g
title: Fuels and Vegetation Macroplot Geographical Location Data Collected at the 2024 Department of Defense Wildland Fire Science Initiative Fort Stewart-Hunter Army Airfield Campaign

description: This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, destructive clip plots, photographs, transects, radiometers, and infrared cameras were utilized to characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption. See details for related datasets in the Methods metadata of this dataset. This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Fort Stewart from February 8 to 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 has Metadata link).
DOI: 10.15468/dl.66utts
title: Occurrence Download

description: A dataset containing 108336 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nerium oleander L."
 ]
}

 The dataset includes 108336 records from 757 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018235-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14749146
title: Data from Hormeño et al. "Bacterial RecD2 is a processive single-stranded DNA translocase with strand-switching capacity at DNA forks"

description: Data from Hormeño et al. "Bacterial RecD2 is a processive single-stranded DNA translocase with strand-switching capacity at DNA forks" Nucleic Acids Research 2025
DOI: 10.5281/zenodo.14749147
title: Data from Hormeño et al. "Bacterial RecD2 is a processive single-stranded DNA translocase with strand-switching capacity at DNA forks"

description: Data from Hormeño et al. "Bacterial RecD2 is a processive single-stranded DNA translocase with strand-switching capacity at DNA forks" Nucleic Acids Research 2025