cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21989/d9/pgff7q/qokjwo
title: get.eol.hspcdata.sas
DOI: 10.21989/d9/pgff7q/6mn10f
title: MakeFTESPVIS_PTBOP.mac.sas
DOI: 10.21989/d9/pgff7q/djyltq
title: NumEOLMedparLTSNF.sas
DOI: 10.21989/d9/pgff7q/4xlkim
title: study.pops.mac.sas
DOI: 10.21989/d9/pgff7q/ogjp14
title: CalcWts.macro.sas
DOI: 10.21989/d9/pgff7q/5sz1sc
title: RunNumEOLMEDPAR.sas
DOI: 10.21989/d9/pgff7q/xwaljo
title: get.eol.outpatient.sas
DOI: 10.15468/dl.8cy28x
title: Occurrence Download

description: A dataset containing 16156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orgyia leucostigma J.E.Smith, 1797",
 "OccurrenceStatus is Present",
 "Country is not null",
 "Year is not null"
 ]
}

 The dataset includes 16156 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017315-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/pgff7q/2cjbhd
title: PvisMacro_BETOS.sas
DOI: 10.21989/d9/pgff7q/1dk0et
title: RunNumEOLSpend.sas
DOI: 10.21989/d9/pgff7q/xpomzi
title: README_EOL_ANALYSIS.txt
DOI: 10.21989/d9/pgff7q/umfiub
title: get.eol.dmedata.sas
DOI: 10.21989/d9/pgff7q/ioyqr0
title: claim.defs.mac.sas
DOI: 10.21989/d9/pgff7q/eabo4s
title: get.eol.partb.sas
DOI: 10.21989/d9/pgff7q/sgmtjz
title: specltyn.sas
DOI: 10.21989/d9/ezwzze/pwmfgc
title: Make.Annual.DummyDiffs2017.sas
DOI: 10.17031/666c5c37b7923
title: 2022-2024 FISP: Ecosystem Benefits of UK Oyster Aquaculture Sites Exe Sediment Sampling Survey

description: As part of the Fisheries Industry Science Partnerships (FISP) project ‘Ecosystem Benefits of UK Oyster Aquaculture Sites’, project partners Tethys Oysters Ltd. / Atlantic Edge Oysters Ltd., Envision Marine Ltd. and the University of Essex have collaborated in a research project to determine ecosystem benefits provided by oyster aquaculture by measuring biodiversity and denitrification activity at a variety of sites in England and Wales. Surveys were undertaken by ENVISION in 2023 to measure the biodiversity associated with three oyster farms and one naturalised rock oyster reef in comparison to control sites with similar environmental conditions, as well as ecosystem function (nitrification/denitrification activity) at these sites. Recognising the importance of conservation and restoration of native oyster populations, surveys were also carried out in 2022 and 2023 to measure oyster abundance and associated biodiversity at an historic native oyster site, commercially restocked with native oysters in 2021. Survey works included recording of underwater imagery, sediment sampling, oyster dredging and ecosystem function sampling. Underwater camera systems were used to record the diversity of biota around the oysters during submersion. Sediment samples were taken for measurement of diversity of macrofauna, particle size distribution and total organic carbon, and the ecosystem function testing involved sampling of sediment and swabs of oysters/hard surfaces to determine the abundance and activity of denitrifying/nitrifying microorganisms on oyster site substrates, through genomic analysis. The results of the denitrification and biodiversity services provided by oyster aquaculture were communicated to consumers, industry and decision makers to increase understanding and promote awareness of the ecosystem benefits provided by aquaculture.
DOI: 10.5281/zenodo.12688184
title: Data-driven reconstructions of the Indian palaeomonsoon (1500–1995 CE)

description: These datasets are fully described in the paper A novel explainable deep learning framework for reconstructing South Asian palaeomonsoons. Paper abstract:We present novel explainable deep learning techniques for reconstructing South Asian palaeomonsoon rainfall over the last 500 years, leveraging long instrumental precipitation records and palaeoenvironmental datasets from South and East Asia to  build two types of model: dense neural networks (`timeline models') and convolutional neural networks (CNNs). The timeline models are trained individually on seven regional rainfall datasets and while they capture decadal-scale variability and significant droughts, they underestimate interannual variability. The CNNs, designed to account for spatial relationships in both predictor and target, demonstrate higher skill in reconstructing rainfall patterns and produce robust spatiotemporal reconstructions. The 19th and 20th centuries were characterised by marked inter-annual variability in the monsoon, but earlier periods were characterised by more decadal- to centennial-scale oscillations. Multidecadal droughts occurred  in the mid-seventeenth and nineteenth centuries, while much of the eighteenth century (particularly the early part of the century) was characterised by above-average monsoon precipitation. Extreme droughts tend to be concentrated in south and west India and often coincide with recorded famines. Our findings offer insights into the historical variability of the Indian summer monsoon and highlight the potential of deep learning techniques in palaeoclimate reconstruction.Dataset description:regional-famines.csv: Derived from https://en.wikipedia.org/wiki/Timeline_of_major_famines_in_India_prior_to_1765 and https://en.wikipedia.org/wiki/Timeline_of_major_famines_in_India_during_British_rule. Columns are the seven homogeneous rainfall regions of India, rows are years. Variable is 1 is a significant famine occurred somewhere in that region in that year, else 0.

timeline-model-regional-prcp.csv: Reconstructed seasonal (Jun–Sep) monsoon precipitation anomalies for each of the seven homogeneous rainfall regions of India, as well as all-India. Period covered is 1501–1995.

cnn-ensemble-prcp.nc:  NetCDF file containing spatial maps of reconstructed seasonal monsoon precipitation anomalies from the CNN model. Available for each year from 1501–1995, at a resolution of 0.25°x0.25°. Two variables are included, the full ten-member ensemble and its mean.

cnn-ensemble-mean-individual-years.zip: A ZIP archive containing maps showing the CNN ensemble mean for each year.

cnn-ensemble-mean-all-India.csv: The all-India average of the CNN ensemble mean for each year, giving a yearly monsoon index from 1501–1995.
DOI: 10.5281/zenodo.12688183
title: Data-driven reconstructions of the Indian palaeomonsoon (1500–1995 CE)

description: These datasets are fully described in the paper A novel explainable deep learning framework for reconstructing South Asian palaeomonsoons. Paper abstract:We present novel explainable deep learning techniques for reconstructing South Asian palaeomonsoon rainfall over the last 500 years, leveraging long instrumental precipitation records and palaeoenvironmental datasets from South and East Asia to  build two types of model: dense neural networks (`timeline models') and convolutional neural networks (CNNs). The timeline models are trained individually on seven regional rainfall datasets and while they capture decadal-scale variability and significant droughts, they underestimate interannual variability. The CNNs, designed to account for spatial relationships in both predictor and target, demonstrate higher skill in reconstructing rainfall patterns and produce robust spatiotemporal reconstructions. The 19th and 20th centuries were characterised by marked inter-annual variability in the monsoon, but earlier periods were characterised by more decadal- to centennial-scale oscillations. Multidecadal droughts occurred  in the mid-seventeenth and nineteenth centuries, while much of the eighteenth century (particularly the early part of the century) was characterised by above-average monsoon precipitation. Extreme droughts tend to be concentrated in south and west India and often coincide with recorded famines. Our findings offer insights into the historical variability of the Indian summer monsoon and highlight the potential of deep learning techniques in palaeoclimate reconstruction.Dataset description:regional-famines.csv: Derived from https://en.wikipedia.org/wiki/Timeline_of_major_famines_in_India_prior_to_1765 and https://en.wikipedia.org/wiki/Timeline_of_major_famines_in_India_during_British_rule. Columns are the seven homogeneous rainfall regions of India, rows are years. Variable is 1 is a significant famine occurred somewhere in that region in that year, else 0.

timeline-model-regional-prcp.csv: Reconstructed seasonal (Jun–Sep) monsoon precipitation anomalies for each of the seven homogeneous rainfall regions of India, as well as all-India. Period covered is 1501–1995.

cnn-ensemble-prcp.nc:  NetCDF file containing spatial maps of reconstructed seasonal monsoon precipitation anomalies from the CNN model. Available for each year from 1501–1995, at a resolution of 0.25°x0.25°. Two variables are included, the full ten-member ensemble and its mean.

cnn-ensemble-mean-individual-years.zip: A ZIP archive containing maps showing the CNN ensemble mean for each year.

cnn-ensemble-mean-all-India.csv: The all-India average of the CNN ensemble mean for each year, giving a yearly monsoon index from 1501–1995.
DOI: 10.15468/dl.hg5gtk
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Acropoma japonicum Günther, 1859"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017956-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/666c5df092c10
title: 2022-2024 FISP: Ecosystem Benefits of UK Oyster Aquaculture Sites Lindisfarne Sediment Sampling Survey

description: As part of the Fisheries Industry Science Partnerships (FISP) project ‘Ecosystem Benefits of UK Oyster Aquaculture Sites’, project partners Tethys Oysters Ltd. / Atlantic Edge Oysters Ltd., Envision Marine Ltd. and the University of Essex have collaborated in a research project to determine ecosystem benefits provided by oyster aquaculture by measuring biodiversity and denitrification activity at a variety of sites in England and Wales. Surveys were undertaken by ENVISION in 2023 to measure the biodiversity associated with three oyster farms and one naturalised rock oyster reef in comparison to control sites with similar environmental conditions, as well as ecosystem function (nitrification/denitrification activity) at these sites. Recognising the importance of conservation and restoration of native oyster populations, surveys were also carried out in 2022 and 2023 to measure oyster abundance and associated biodiversity at an historic native oyster site, commercially restocked with native oysters in 2021. Survey works included recording of underwater imagery, sediment sampling, oyster dredging and ecosystem function sampling. Underwater camera systems were used to record the diversity of biota around the oysters during submersion. Sediment samples were taken for measurement of diversity of macrofauna, particle size distribution and total organic carbon, and the ecosystem function testing involved sampling of sediment and swabs of oysters/hard surfaces to determine the abundance and activity of denitrifying/nitrifying microorganisms on oyster site substrates, through genomic analysis. The results of the denitrification and biodiversity services provided by oyster aquaculture were communicated to consumers, industry and decision makers to increase understanding and promote awareness of the ecosystem benefits provided by aquaculture.
DOI: 10.15468/dl.cxqf64
title: Occurrence Download

description: A dataset containing 3158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chironomus plumosus (Linnaeus, 1758)"
 ]
}

 The dataset includes 3158 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017957-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/666c600479e77
title: 2022-2024 FISP: Ecosystem Benefits of UK Oyster Aquaculture Sites Lindisfarne Underwater Imagery Survey

description: As part of the Fisheries Industry Science Partnerships (FISP) project ‘Ecosystem Benefits of UK Oyster Aquaculture Sites’, project partners Tethys Oysters Ltd. / Atlantic Edge Oysters Ltd., Envision Marine Ltd. and the University of Essex have collaborated in a research project to determine ecosystem benefits provided by oyster aquaculture by measuring biodiversity and denitrification activity at a variety of sites in England and Wales. Surveys were undertaken by ENVISION in 2023 to measure the biodiversity associated with three oyster farms and one naturalised rock oyster reef in comparison to control sites with similar environmental conditions, as well as ecosystem function (nitrification/denitrification activity) at these sites. Recognising the importance of conservation and restoration of native oyster populations, surveys were also carried out in 2022 and 2023 to measure oyster abundance and associated biodiversity at an historic native oyster site, commercially restocked with native oysters in 2021. Survey works included recording of underwater imagery, sediment sampling, oyster dredging and ecosystem function sampling. Underwater camera systems were used to record the diversity of biota around the oysters during submersion. Sediment samples were taken for measurement of diversity of macrofauna, particle size distribution and total organic carbon, and the ecosystem function testing involved sampling of sediment and swabs of oysters/hard surfaces to determine the abundance and activity of denitrifying/nitrifying microorganisms on oyster site substrates, through genomic analysis. The results of the denitrification and biodiversity services provided by oyster aquaculture were communicated to consumers, industry and decision makers to increase understanding and promote awareness of the ecosystem benefits provided by aquaculture.
DOI: 10.15468/dl.x3wq7p
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nilaparvata bakeri (Muir, 1917)"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017958-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd4r7c
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Saccharosydne saccharivora (Westwood, 1833)"
 ]
}

 The dataset includes 69 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017959-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12696764
title: A_BAM
DOI: 10.5281/zenodo.12696765
title: A_BAM
DOI: 10.5281/zenodo.12698045
title: A_BAM
DOI: 10.5281/zenodo.12698697
title: A_BAM
DOI: 10.34740/kaggle/dsv/8913506
title: Resampled
DOI: 10.15468/dl.njp3dx
title: Occurrence Download

description: A dataset containing 501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Riptortus linearis (Fabricius, 1775)"
 ]
}

 The dataset includes 501 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017960-240626123714530/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.26212994
title: <b>Single</b><b>-cell RNA sequencing analysis of lung cancer to predict prognosis and immunotherapy efficacy based </b><b>on the activation of ferroptosis</b><b>-related genes</b>

description: Lung cancer remains the predominant cause of cancer-related mortality worldwide. Recently, ferroptosis has been implicated in T-cell-mediated antitumor immunity and affects the efficacy of cancer immunotherapy; however, how ferroptosis affects the tumor microenvironment and how ferroptosis interacts with the immunotherapy response remain unclear.
DOI: 10.15468/dl.wuqc6x
title: Occurrence Download

description: A dataset containing 616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Mozambique",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Caretta caretta (Linnaeus, 1758)",
 "Year 2004-2024"
 ]
}

 The dataset includes 616 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017961-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2n8hqj
title: Occurrence Download

description: A dataset containing 2509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spodoptera mauritia (Boisduval, 1833)"
 ]
}

 The dataset includes 2509 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017962-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drm5nx
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Evynnis cardinalis (Lacepède, 1802)"
 ]
}

 The dataset includes 66 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017963-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kh6q4f
title: Occurrence Download

description: A dataset containing 5620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Empoasca fabae (Harris, 1841)"
 ]
}

 The dataset includes 5620 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017964-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpvkhx
title: Occurrence Download

description: A dataset containing 26931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 26931 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017967-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58gej6
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Culex modestus Ficalbi, 1947"
 ]
}

 The dataset includes 275 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017969-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yt7yy7
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pedicularis striata Pall."
 ]
}

 The dataset includes 82 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017970-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atpq7p
title: Occurrence Download

description: A dataset containing 218742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Celastrales"
 ]
}

 The dataset includes 218742 records from 931 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017901-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mnb74
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Trachurus japonicus (Temminck & Schlegel, 1844)"
 ]
}

 The dataset includes 37 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017971-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky9673
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phlomoides umbrosa (Turcz.) Kamelin & Makhm."
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017972-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10658485
title: Experimental data for "Yu-Shiba-Rusinov bands in a self-assembled kagome lattice of magnetic molecules"

description: Here, we provide all original data used in the manuscript "Yu-Shiba-Rusinov bands in a self-assembled kagome lattice of magnetic molecules"

We acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through projects 277101999 (CRC 183, project C03) and FR2726/10-1.
DOI: 10.5281/zenodo.10658486
title: Experimental data for "Yu-Shiba-Rusinov bands in a self-assembled kagome lattice of magnetic molecules"

description: Here, we provide all original data used in the manuscript "Yu-Shiba-Rusinov bands in a self-assembled kagome lattice of magnetic molecules"

We acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through projects 277101999 (CRC 183, project C03) and FR2726/10-1.
DOI: 10.5281/zenodo.12698736
title: Experimental data for "Yu-Shiba-Rusinov bands in a self-assembled kagome lattice of magnetic molecules"

description: Here, we provide all original data used in the manuscript "Yu-Shiba-Rusinov bands in a self-assembled kagome lattice of magnetic molecules"

We acknowledge financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through projects 277101999 (CRC 183, project C03) and FR2726/10-1.