cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.v6wwpzgw4
title: Broad-Scale Responses of Harbor Porpoises to Pile-Driving and Vessel Activities During Offshore Windfarm Construction

description: Offshore windfarm developments are expanding, requiring assessment and
 mitigation of impacts on protected species. Typically, assessments of
 impacts on marine mammals have focussed on pile-driving, as intense
 impulsive noise elicits adverse behavioural responses. However, other
 construction activities such as jacket and turbine installation also
 change acoustic habitats through increased vessel activity. To date, the
 contribution of construction-related vessel activity in shaping marine
 mammal behavioural responses at windfarm construction sites has been
 overlooked and no guidelines or mitigation measures have been implemented.
 We compared broad-scale spatio-temporal variation in harbour porpoise
 occurrence and foraging activity between baseline periods and different
 construction phases at two Scottish offshore windfarms. Following a
 Before-After Control-Impact design, arrays of echolocation click detectors
 (CPODs) were deployed in 25 km by 25 km impact and reference blocks
 throughout the 2017-2019 construction. Echolocation clicks and buzzes were
 used to investigate porpoise occurrence and foraging activity
 respectively. In parallel, we characterised broadband noise levels using
 calibrated noise recorders (SoundTraps and SM2Ms) and vessel activities
 using AIS data integrated with engineering records. Following an impact
 gradient design, we then quantified the magnitude of porpoise responses in
 relation to changes in the acoustic environment and vessel activity.
 Compared to baseline, an 8-17% decline in porpoise occurrence was observed
 in the impact block during pile-driving and other construction activities.
 The probability of detecting porpoises and buzzing activity was positively
 related to the distance from vessel and construction activities, and
 negatively related to levels of vessel intensity and background noise.
 Porpoise displacement was observed at up to 12 km from pile-driving
 activities and up to 4 km from construction vessels. This evidence of
 broad-scale behavioural responses of harbour porpoises to these different
 construction activities highlights the importance of assessing and
 managing all vessel activities at offshore windfarm sites to minimise
 potential impacts of anthropogenic noise.
DOI: 10.5061/dryad.fqz612jsd
title: Coyote behavioral state data and landcover files

description: In canids, resident breeders hold territories but require different
 resources than transient individuals (i.e., dispersers), which may result
 in differential use of space, land cover, and food by residents and
 transients. In the southeastern United States, coyote (Canis latrans)
 reproduction occurs during spring and is energetically demanding for
 residents, but transients do not reproduce and therefore can exhibit
 feeding behaviors with lower energetic rewards. Hence, how coyotes behave
 in their environment likely differs between resident and transient
 coyotes. We captured and monitored 36 coyotes in Georgia during 2018-2019,
 and used data from 11 resident breeders, 12 pre-dispersing residents
 (i.e., offspring of resident breeders), and 11 transients to determine
 space use, movements, and relationships between these behaviors and
 landcover characteristics. The average home range size for resident
 breeders and pre-dispersing offspring was 20.7 ± 2.5 km² and 50.7 ± 10.0
 km², respectively. The average size of transient ranges was 241.4 ± 114.5
 km². Daily distance moved was 6.3 ± 3.0 km for resident males, 5.5 ± 2.7
 km for resident females, and 6.9 ± 4.2 km for transients. We estimated
 first-passage time values to assess the scale at which coyotes respond to
 their environment, and used behavioral change point analysis to determine
 that coyotes exhibited 3 behavioral states. We found notable
 differences between resident and transient coyotes in regard to how
 landcover characteristics influenced their behavioral states.
  Resident coyotes tended to select for areas with denser
 vegetation while resting and foraging, but for areas with less dense
 vegetation and canopy cover when walking. Transient coyotes selected areas
 closer to roads and with lower canopy cover while resting, but for areas
 farther from roads when foraging and walking. Our findings suggest that
 behaviors of both resident and transient coyotes are influenced by varying
 landcover characteristics, which could have implications to prey.
description: Coyotes were live-captured, fitted with GPS collars, and
 monitored. Data have been processed using movement analyses including
 first passage time analysis and behavioral change point
 analysis.
description: All of the data files along with landcover data we used are
 included. In lieu of a ReadMe file, here is a simple breakdown of the
 files included and they're simple to follow. The first files that
 begin with bcpa_"number" are the behavioral change point
 analysis files separated by animal ID. The next set of files all begin
 with full_"number", those are the full GPS movement tracks used
 in the analysis. Lastly, there is a series of landcover and spatial
 databases we used, including canopy cover data from NLCD, NDVI data, road
 layers, along with NLCD data relative to distances to landcover
 types.
DOI: 10.5061/dryad.dfn2z351v
title: Data from: Watershed scale nitrate-N abatement of instream wetlands: an appraisal using the soil and water assessment tool

description: These data are associated with the manuscript entitled: “Watershed Scale
 Nitrate-N Abatement of Instream Wetlands: An Appraisal Using the Soil and
 Water Assessment Tool” (doi: 10.13031/aea.13736). The study elucidated the
 watershed-scale nitrate-N abatement potential of constructed instream
 wetlands (ISWs). Hence, the Soil and Water Assessment Tool (SWAT) was used
 to model nitrate-N export in a highly agricultural watershed located in
 the Coastal Plain of North Carolina. SWAT was first calibrated and
 validated for streamflow and for nitrate-N export using data collected
 from the inlet and outlet of an experimental instream wetland. The
 validated SWAT model was used to simulate a decade of nitrate-N export
 under two scenarios: 1) watershed with ISWs implemented; and 2) watershed
 without ISWs. The results of the case study indicated that a
 watershed-wide implementation of ISWs is likely to curtail annual
 nitrate-N export by 49%. The study also evaluated cases where ISWs are
 implemented in selected percentage of sub-basins across the watershed. The
 outcomes show higher increments of nitrate-N curtailment when ISWs are
 implemented in the first top agricultural sub-basins. Hence,
 implementation of ISWs on selected sub-basins can mitigate nitrate-N from
 non-point sources and enhance water quality in the watershed’s stream
 network. The dataset provided here includes input weather data used for
 SWAT, flow, and nitrate-N observation data used to calibrate and validate
 SWAT, simulated data associated with figures, and tables reported in the
 manuscript.  
description: Measurements of streamflow and nitrate-N loading were
 continuously collected at the inlet and outlet of an experimental instream
 wetland located in the Herrings Marsh Run watershed. Additional data were
 retrieved from the United States Geological Survey and the National
 Oceanic and Atmospheric Administration databases.
DOI: 10.15468/dl.2r4aj2
title: Occurrence Download

description: A dataset containing 49534340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Menura novaehollandiae, Mimus gilvus, Mimus polyglottos, Minla cyanouroptera, Minla strigula, Mirafra javanica, Molothrus ater, Molothrus bonariensis, Monticola solitarius, Motacilla citreola, Mycerobas affinis, Mycerobas carnipes, Mycerobas icterioides, Nectarinia tacazze, Neochmia ruficauda, Neochmia temporalis, Onychognathus morio, Onychognathus nabouroup, Onychognathus tristramii, Oriolus auratus, Oriolus chinensis, Oriolus larvatus, Oriolus xanthornus, Paludipasser locustella, Paroaria coronata, Paroaria dominicana, Passer castanopterus, Passer domesticus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 49534340 records from 5922 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002835-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16895299
title: Spatially explicit distribution of hedgerows across German agricultural landscapes

description: This dataset contains a spatially explicit estimation of hedgerows across agricultural areas in Germany at 3 m resolution in cloud optimized geotif format. The dataset has been developed as part of the project KlimaFern, Remote Sensing for Improved Climate reporting. 

Hedgerows here are defined as linear woody features of 3-20 m wide with agriculture on at least one side, akin to the Land Use/Cover Area Survey (LUCAS) criteria. The hedgerow predictions are based on multitemporal PlanetScope imagery for the year 2022 and a convolutional neural network with a UNet backbone. No postprocessing was applied. Details on the calibration and accuracies can be found in Muro et al., (2025) https://doi.org/10.1016/j.rse.2025.114870.

Known limitations of the product are:



hedgerows narrower than 3 m in canopy and hedgerows recently coppiced (false negatives) 

hedgerows close (<~10m) and parallel to other hedgerows or forest patches (false negatives)

hedgerows slightly above the 20 m width definition may or may not be included 

dense tree lines without hedgerows underneath (false positives)


V3 has been clipped with a more presice vector of Germany. V2 and V1 had some minor inconsistencies along the German border that have been solved in V3.

Users can request the data before the embargo date. Just press "Request access" below.

 

Contacts:

Stefan Erasmi: stefan.erasmi@thuenen.de

Javier Muro: javier.muro@ie.edu
DOI: 10.5281/zenodo.15654505
title: Spatially explicit distribution of hedgerows across German agricultural landscapes

description: This dataset contains a spatially explicit estimation of hedgerows across agricultural areas in Germany at 3 m resolution in cloud optimized geotif format. The dataset has been developed as part of the project KlimaFern, Remote Sensing for Improved Climate reporting. 

Hedgerows here are defined as linear woody features of 3-20 m wide with agriculture on at least one side, akin to the Land Use/Cover Area Survey (LUCAS) criteria. The hedgerow predictions are based on multitemporal PlanetScope imagery for the year 2022 and a convolutional neural network with a UNet backbone. No postprocessing was applied. Details on the calibration and accuracies can be found in Muro et al., (2025) https://doi.org/10.1016/j.rse.2025.114870.

Known limitations of the product are:



hedgerows narrower than 3 m in canopy and hedgerows recently coppiced (false negatives) 

hedgerows close (<~10m) and parallel to other hedgerows or forest patches (false negatives)

hedgerows slightly above the 20 m width definition may or may not be included 

dense tree lines without hedgerows underneath (false positives)


V3 has been clipped with a more presice vector of Germany. V2 and V1 had some minor inconsistencies along the German border that have been solved in V3.

Users can request the data before the embargo date. Just press "Request access" below.

 

Contacts:

Stefan Erasmi: stefan.erasmi@thuenen.de

Javier Muro: javier.muro@ie.edu
DOI: 10.15468/dl.gzker9
title: Occurrence Download

description: A dataset containing 1565 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material citation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adansonia gregorii F.Muell.",
 "Year 1000-2025"
 ]
}

 The dataset includes 1565 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001627-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26207/8pe3-rz48
title: Data for "Lignin impairs Cel7A degradation of in vitro lignified cellulose by impeding enzyme movement and not by acting as a sink"
DOI: 10.15468/dl.trkcxj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opisthoproctus Vaillant, 1888",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((47.7498 -11.7869,47.7727 -11.4035,47.4196 -11.0667,47.0031 -11.1387,46.8237 -11.3675,46.8362 -11.7955,47.1096 -12.0382,47.5164 -12.0227,47.7498 -11.7869))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011173-250525065834625/datasets/export for details.
DOI: 10.15468/dl.87dbda
title: Occurrence Download

description: A dataset containing 4 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)"
 ]
 }
 },
 "TaxonKey is Calamovilfa longifolia Hack.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011174-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29204522
title: WIRL

description: Replication package for WIRL, including data, code, and the evaluation results
DOI: 10.6084/m9.figshare.29204522.v1
title: WIRL

description: Replication package for WIRL, including data, code, and the evaluation results
DOI: 10.15468/dl.wenkgv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opisthoproctus Vaillant, 1888",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((45.6579 11.3446,44.9648 11.0757,44.9648 10.8496,51.6539 10.8496,51.6211 10.9131,51.7357 12.0497,51.4872 12.2937,50.7681 12.4846,50.3292 12.3424,50.0295 12.0332,49.0651 11.773,47.2785 11.6543,46.4751 11.2145,45.6579 11.3446))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011175-250525065834625/datasets/export for details.
DOI: 10.15468/dl.nmgkxe
title: Occurrence Download

description: A dataset containing 969 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)"
 ]
 }
 },
 "TaxonKey is Calotis lappulacea Benth.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 969 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011177-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7v2f9d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opisthoproctus Vaillant, 1888",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((51.9067 10.3601,51.6539 10.8496,44.9648 10.8496,44.9648 1.8496,45.9851 1.8496,46.3652 2.0796,48.3314 4.1285,49.4027 5.7662,49.6642 6.5145,51.2543 9.1551,51.377 9.8685,51.7452 10.0272,51.9067 10.3601))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011178-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.28079003
title: Degradable film mulching increases soil carbon sequestration in major Chinese dryland agroecosystems

description: Degradable film mulching increases soil carbon sequestration in major Chinese dryland agroecosystems
DOI: 10.6084/m9.figshare.28079003.v1
title: Degradable film mulching increases soil carbon sequestration in major Chinese dryland agroecosystems

description: Degradable film mulching increases soil carbon sequestration in major Chinese dryland agroecosystems
DOI: 10.6084/m9.figshare.28760288
title: DeepDTAGen: A Multitask Deep Learning Framework for Drug-Target Affinity Prediction and Target-aware Drugs Generation

description: BindingBD_Generated_Drugs.xlsx file contrains the drugs SMILES generated by DeepDTAGen when trained on BindingDB dataset. 

KIBA_Generated_Drugs.xlsx file contrains the drugs SMILES generated by DeepDTAGen when trained on KIBA dataset. 

Sourcedata.rar file contains the source data for Figures 2–6 and 8 in the main manuscript, along with Supplementary Figures 17–23 and Supplementary Table 14. Each file within 'Sourcedata.rar' is labeled with its corresponding figure or table number.
.

preprocessed-datasets.rar file contains all the pre-processed form of the datasets.

models.rar file contains the pre-trained models
DOI: 10.6084/m9.figshare.28760288.v1
title: DeepDTAGen: A Multitask Deep Learning Framework for Drug-Target Affinity Prediction and Target-aware Drugs Generation

description: BindingBD_Generated_Drugs.xlsx file contrains the drugs SMILES generated by DeepDTAGen when trained on BindingDB dataset. 

KIBA_Generated_Drugs.xlsx file contrains the drugs SMILES generated by DeepDTAGen when trained on KIBA dataset. 

Sourcedata.rar file contains the source data for Figures 2–6 and 8 in the main manuscript, along with Supplementary Figures 17–23 and Supplementary Table 14. Each file within 'Sourcedata.rar' is labeled with its corresponding figure or table number.
.

preprocessed-datasets.rar file contains all the pre-processed form of the datasets.

models.rar file contains the pre-trained models
DOI: 10.15468/dl.h42qxf
title: Occurrence Download

description: A dataset containing 155 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)"
 ]
 }
 },
 "TaxonKey is Calylophus serrulata (Nutt.) P.H.Raven",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 155 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011179-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dru8g5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opisthoproctus Vaillant, 1888",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-0.0352 19.8496,-9.0352 19.8496,-9.0352 10.8496,-0.0352 10.8496,-0.0352 19.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011180-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gsxepa
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Populus euphratica Olivier"
 ]
}

 The dataset includes 500 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011181-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26105038
title: Stalagmite oxygen isotope records from Shima Cave

description: Stable isotope results for Shima Cave samples.
DOI: 10.6084/m9.figshare.26105038.v1
title: Stalagmite oxygen isotope records from Shima Cave

description: Stable isotope results for Shima Cave samples.
DOI: 10.6084/m9.figshare.28123088
title: MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment

description: The dataset included a total of 6,272 AS-OCT images and 392 corresponding anterior segment photographs. Each image of patients with corneal opacity was carefully annotated to include detailed cornea and corneal opacity information.
DOI: 10.6084/m9.figshare.28123088.v1
title: MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment

description: The dataset included a total of 6,272 AS-OCT images and 392 corresponding anterior segment photographs. Each image of patients with corneal opacity was carefully annotated to include detailed cornea and corneal opacity information.