cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12746383
title: Raw data used in Agostini et al. 2024

description: Data file containing raw data of N mineralization assays, chemical extractions and basic properties of a selection of 32 bio-based fertilizers.

For more details on funding see Agostini et al. 2024 Prediction of nitrogen mineralization from novel bio-based fertilizers using chemical extractions.
DOI: 10.15468/dl.msk3bk
title: Occurrence Download

description: A dataset containing 466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptodon rendalli (Boulenger, 1897)",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 466 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026801-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8fd27
title: Occurrence Download

description: A dataset containing 8041237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2008-2008"
 ]
}

 The dataset includes 8041237 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026787-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12752039
title: ellochelon_vaigiensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.12752040
title: ellochelon_vaigiensis_zanfona_1.fasta.gz

description: .
DOI: 10.15468/dl.pjuhmk
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis niloticus (Linnaeus, 1758)",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 410 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026802-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e75fpp
title: Occurrence Download

description: A dataset containing 10612619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2009-2009"
 ]
}

 The dataset includes 10612619 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026792-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/7psxok6n
title: Federated Search Feature

description: This feature enables users to execute SPARQL queries over a federation of ORKGs, i.e., retrieving answers from multiple KGs with a single query. DeTrusty decomposes the query and retrieves the answers from the appropriate KGs. The federation includes but is not limited to the LDM KG and the ORKG
DOI: 10.15468/dl.8gjd23
title: Occurrence Download

description: A dataset containing 13815808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2010-2010"
 ]
}

 The dataset includes 13815808 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026794-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jss4v
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthonotha macrophylla P.Beauv."
 ]
}

 The dataset's 4 records were derived from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026790-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2s7apt
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropterus salmoides (Lacepède, 1802)",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026803-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t89cum
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cycloramphus stejnegeri (Noble, 1924)"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026804-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11081877
title: SAWEMD: South Asian Water Erosion Modeled Dataset

description: SAWEMD: A State-of-the-Art Water Erosion Modeled Dataset for South Asia.

Water erosion is a pressing environmental issue in South Asia, exacerbated by climate change. SAWEMD, the South Asia Water Erosion Modeled Dataset, addresses this challenge by identifying potential erosion hotspots and assessing future risks under various climate scenarios using the Revised Universal Soil Loss Equation (RUSLE). This dataset integrates high-resolution data on climate, land use, harvested crop areas, soil types, and elevation for both current and future periods. Future projections are based on CMIP6 climate and land use datasets, evaluated under two distinct Shared Socio-economic Pathways (SSP126 and SSP585).

 

SAWEMD is the first open-access water erosion dataset for South Asia, providing crucial information and related parameters for researchers and policymakers. The comprehensive data and methodology used to create this high-resolution dataset are detailed in the following publication:

 

Das, Subhankar, Manoj Kumar Jain, and Vivek Gupta. "An assessment of anticipated future changes in water erosion dynamics under climate and land use change scenarios in South Asia." Journal of Hydrology 637 (2024): 131341. https://doi.org/10.1016/j.jhydrol.2024.131341
DOI: 10.5281/zenodo.11081878
title: SAWEMD: South Asian Water Erosion Modeled Dataset

description: SAWEMD: A State-of-the-Art Water Erosion Modeled Dataset for South Asia.

Water erosion is a pressing environmental issue in South Asia, exacerbated by climate change. SAWEMD, the South Asia Water Erosion Modeled Dataset, addresses this challenge by identifying potential erosion hotspots and assessing future risks under various climate scenarios using the Revised Universal Soil Loss Equation (RUSLE). This dataset integrates high-resolution data on climate, land use, harvested crop areas, soil types, and elevation for both current and future periods. Future projections are based on CMIP6 climate and land use datasets, evaluated under two distinct Shared Socio-economic Pathways (SSP126 and SSP585).

 

SAWEMD is the first open-access water erosion dataset for South Asia, providing crucial information and related parameters for researchers and policymakers. The comprehensive data and methodology used to create this high-resolution dataset are detailed in the following publication:

 

Das, Subhankar, Manoj Kumar Jain, and Vivek Gupta. "An assessment of anticipated future changes in water erosion dynamics under climate and land use change scenarios in South Asia." Journal of Hydrology 637 (2024): 131341. https://doi.org/10.1016/j.jhydrol.2024.131341
DOI: 10.5281/zenodo.12751748
title: Test 1 using ReCom files as input
DOI: 10.15468/dl.bznevg
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.3.12.1_1",
 "TaxonKey is Ribes uva-crispa L."
 ]
}

 The dataset includes 233 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026806-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10260081
title: Imperial College Ear-EEG Dataset for Auditory Attention Decoding

description: This repository contains the ear-EEG data and the speech material that were used in our publication "Decoding of Selective Attention to Speech From Ear-EEG Recordings" [1].

The data are stored in the archive "icl_earEEG_dataset.zip", which contains:



audio/ - this directory contains the original speech material from each EEG trial.

eeg_data.h5: this file contains the unprocessed EEG recordings from each trial, sampled at the original rate of 256 Hz.


The onsets of the EEG and speech material are already aligned - all you need to do is resample the audio (or the features derived therefrom) to the same sample rate as the EEG (256 Hz) in order to obtain time-aligned signals. 

If you use this dataset for your research, please cite this repository as well as the following article:

[1] M. Thornton, D. Mandic, T. Reichenbach, "Decoding of Selective Attention to Speech From Ear-EEG Recordings". submitted. arXiv:2401.05187.
DOI: 10.5281/zenodo.10260082
title: Imperial College Ear-EEG Dataset for Auditory Attention Decoding

description: This repository contains the ear-EEG data and the speech material that were used in our publication "Decoding of Selective Attention to Speech From Ear-EEG Recordings" [1].

The data are stored in the archive "icl_earEEG_dataset.zip", which contains:



audio/ - this directory contains the original speech material from each EEG trial.

eeg_data.h5: this file contains the unprocessed EEG recordings from each trial, sampled at the original rate of 256 Hz.


The onsets of the EEG and speech material are already aligned - all you need to do is resample the audio (or the features derived therefrom) to the same sample rate as the EEG (256 Hz) in order to obtain time-aligned signals. 

If you use this dataset for your research, please cite this repository as well as the following article:

[1] M. Thornton, D. Mandic, T. Reichenbach, "Decoding of Selective Attention to Speech From Ear-EEG Recordings". submitted. arXiv:2401.05187.
DOI: 10.15468/dl.nrdva7
title: Occurrence Download

description: A dataset containing 1981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-104.83887 45.82724,-110.25256 51.68744,-113.36217 53.60105,-115.51497 52.80371,-119.18272 53.20238,-120.41703 50.97051,-123.48321 50.03087,-123.18648 48.84396,-123.18648 47.36033,-123.3843 46.37124,-123.58212 44.98651,-123.23594 43.75015,-123.68103 42.6127,-123.82939 40.9807,-122.54358 40.68397,-122.93921 39.44761,-123.53267 38.21125,-122.24685 36.38143,-121.30721 35.49125,-120.86212 33.8098,-119.42794 33.95816,-117.35086 33.51307,-113.19668 31.73271,-109.28978 31.18871,-106.86651 32.77125,-104.49269 34.55161,-103.99814 40.88179,-102.51451 43.1567,-104.83887 45.82724))",
 "TaxonKey is Athyrium filix-femina (L.) Roth"
 ]
}

 The dataset includes 1981 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026808-240626123714530/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.26312377
title: <b>Nowcasting of a Warm-sector Rainfall Event in Southern China with the TRAMS Model: Sensitivity to Different Radar Reflectivity Retrieval Methods and Incremental Updating Strategies</b>

description: To improve the radar data assimilation scheme for the high-resolution TRAMS (Tropical Regional Atmospheric Model System) model, this study investigates the sensitivity of simulating a warm-sector rainfall event in southern China to different radar reflectivity retrieval methods and incremental updating strategies. It was found that the ICR (Ice Cloud Retrieval) method provides more reasonable cloud hydrometeors. But the impact of different retrieval methods is minimal without dynamic field being adjusted correspondingly. By further assimilating the wind field, the overestimated south winds were effectively reduced and the observed low-level convergence in the north Guangdong was successfully simulated, playing a substantial role in improving the precipitation forecast. Both IAU (Incremental Analysis Update) and Nudging methods were able to adjust the forecast to better match the observations, with IAU showing slightly better adjustment effects than Nudging. These findings are beneficial for further improving the forecast accuracy of precipitation intensity. Extending the IAU relaxation time from 4 to 10 minutes has almost no impact on the actual forecasting. However, by adjusting the time-dependent distribution of IAU weighting factors to prioritize the correction of the wind field, it is possible to avoid the impact of cloud particle adjustments on the effectiveness of dynamic field adjustments. This allows for more realistic low-level wind convergence and precipitation forecasts to be obtained. As a whole, the ICR method for retrieving cloud hydrometeors, combined with the IAU method using time-dependent distribution weighting factors appears to be a more suitable option for the radar data assimilation scheme in TRAMS model.
DOI: 10.6084/m9.figshare.26312377.v1
title: <b>Nowcasting of a Warm-sector Rainfall Event in Southern China with the TRAMS Model: Sensitivity to Different Radar Reflectivity Retrieval Methods and Incremental Updating Strategies</b>

description: To improve the radar data assimilation scheme for the high-resolution TRAMS (Tropical Regional Atmospheric Model System) model, this study investigates the sensitivity of simulating a warm-sector rainfall event in southern China to different radar reflectivity retrieval methods and incremental updating strategies. It was found that the ICR (Ice Cloud Retrieval) method provides more reasonable cloud hydrometeors. But the impact of different retrieval methods is minimal without dynamic field being adjusted correspondingly. By further assimilating the wind field, the overestimated south winds were effectively reduced and the observed low-level convergence in the north Guangdong was successfully simulated, playing a substantial role in improving the precipitation forecast. Both IAU (Incremental Analysis Update) and Nudging methods were able to adjust the forecast to better match the observations, with IAU showing slightly better adjustment effects than Nudging. These findings are beneficial for further improving the forecast accuracy of precipitation intensity. Extending the IAU relaxation time from 4 to 10 minutes has almost no impact on the actual forecasting. However, by adjusting the time-dependent distribution of IAU weighting factors to prioritize the correction of the wind field, it is possible to avoid the impact of cloud particle adjustments on the effectiveness of dynamic field adjustments. This allows for more realistic low-level wind convergence and precipitation forecasts to be obtained. As a whole, the ICR method for retrieving cloud hydrometeors, combined with the IAU method using time-dependent distribution weighting factors appears to be a more suitable option for the radar data assimilation scheme in TRAMS model.
DOI: 10.15468/dl.9hah7f
title: Occurrence Download

description: A dataset containing 2426594 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meleagris gallopavo Linnaeus, 1758"
 ]
}

 The dataset includes 2426594 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026805-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypkcg3
title: Occurrence Download

description: A dataset containing 60485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Popillia japonica Newman, 1838",
 "Year 2015-2024"
 ]
}

 The dataset includes 60485 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026809-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubxcvt
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnolia gilbertoi (Lozano) Govaerts"
 ]
}

 The dataset includes 62 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026810-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dsbrv
title: Occurrence Download

description: A dataset containing 1261 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Athyrium filix-femina var. cyclosorum (Rupr.) Ledeb."
 ]
}

 The dataset includes 1261 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026811-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xczj9
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Rheumatobates crassifemur crassifemur"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026812-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53e294
title: Occurrence Download

description: A dataset listing the 1039 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.45_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 1039 records were derived from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026807-240626123714530/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.24902922.v4
title: Dataset for ecological and biophysical mechanisms of ecological restoration enhancing dryland carbon stock

description: <b>The effectiveness of natural climate solutions largely depends on how much ecological restoration can promote vegetation productivity, suppress carbon loss, and consequently enhance ecosystem carbon sink. In China, the potential of ecological restoration as natural climate solutions is primarily concentrated in dryland ecosystems in the vast North and Northwest areas, but this region is also vulnerable to carbon and nutrient losses due to soil erosion. It remains unclear whether the erosion-induced carbon and nutrient losses would undermine the effectiveness of ecological restoration in immobilizing carbon. Here, we provide a dataset derived from a 3.1 million km</b><sup><strong>2</strong></sup><b> regional survey with 1599 degraded-and-restored plot pairs at 517 sites and a 13-year manipulative experiment mimicking wind erosion in China’s drylands. The dataset reveals the relative contributions of ecological (increasing plant carbon input) and biophysical (reducing erosion carbon loss) pathways to expanded ecosystem carbon stocks under ecological restoration.</b>
DOI: 10.6084/m9.figshare.26309674
title: AdjacencyFiles

description: This directory contains the adjacency files and binarized files produced as of June 28, 2024 for SH2 domain human contact maps generation.
DOI: 10.6084/m9.figshare.26309674.v3
title: AdjacencyFiles

description: This directory contains the adjacency files and binarized files produced as of June 28, 2024 for SH2 domain human contact maps.
DOI: 10.6084/m9.figshare.26309674.v4
title: AdjacencyFiles

description: This directory contains the adjacency files and binarized files produced as of June 28, 2024 for SH2 domain human contact maps generation.
DOI: 10.15468/dl.d3rntk
title: Occurrence Download

description: A dataset containing 61367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Anthracoceros albirostris (Shaw, 1808)"
 ]
}

 The dataset includes 61367 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026814-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc26gsk1
title: CCDC 2040003: Experimental Crystal Structure Determination

description: Related Article: Yan Mi, Jingyu Ma, Wenting Liang, Chao Xiao, Wanhua Wu, Dayang Zhou, Jiabin Yao, Wenjia Sun, Junliang Sun, Guowei Gao, Xiaochuan Chen, Jason J. Chruma, Cheng Yang|2021|J.Am.Chem.Soc.|143|1553|doi:10.1021/jacs.0c11833
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gthg8
title: CCDC 2288620: Experimental Crystal Structure Determination

description: Related Article: Xuan Yang, Margit Brückner, Frank Rominger, Tobias Kirschbaum, Michael Mastalerz|2024|Chem (Cell Press)|10|832|doi:10.1016/j.chempr.2023.12.023
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.954hve
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Thailand",
 "TaxonKey is Rhinoplax vigil (Pennant, 1781)"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026815-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.