cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4wr2zf
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Brasenia schreberi J.F.Gmel."
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053263-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krhd39
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melicope radiata (H.St.John) T.G.Hartley & B.C.Stone"
 ]
}

 The dataset includes 76 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053264-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqukcr
title: Occurrence Download

description: A dataset containing 73988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cygnus columbianus (Ord, 1815)",
 "Year 2001-2007"
 ]
}

 The dataset includes 73988 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053109-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq7b3t
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mezzettia havilandii (Boerl.) Ridl."
 ]
}

 The dataset includes 62 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053266-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b42nb3
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Aerodramus leucophaeus (Peale, 1849)"
 ]
}

 The dataset includes 116 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053267-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rdanya
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Michelia shiluensis Chun & Y.F.Wu"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053265-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwnwv5
title: Occurrence Download

description: A dataset containing 552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oophaga lehmanni (Myers & Daly, 1976)"
 ]
}

 The dataset includes 552 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053268-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyqzhr
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manilkara sylvestris Aubrév. & Pellegr."
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053269-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cunhbh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melicope ramuliflora T.G.Hartley"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053270-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uutyn
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mezzettia macrocarpa Heijden & Kessler"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053271-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x24zxn
title: Occurrence Download

description: A dataset containing 2489 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Aerodramus maximus (Hume, 1878)"
 ]
}

 The dataset includes 2489 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053272-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucfgme
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Manilkara udoido Kaneh."
 ]
}

 The dataset includes 53 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053273-240321170329656/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.3592857.v2
title: Test set of clinical meta-data for Local Control Challenge

description: This MD Anderson Cancer Center set of anonymized high-quality computed tomography (CT) scans with contrast represent a comparatively homogeneous, uniform cohort of 288 oropharynx cancer patients with detailed clinical history, consistent follow-up of &gt; 2 years, known etiological/biological correlates (specifically, human papilloma virus status). Our major target is to assess/validate the radiomics workflow and predictive capacity of radiomics signatures from challenge participants.We imported the CT scans from the patients’ electronic medical records, that were performed before the initiation of the radiation treatment course. All the patients were treated using the IMRT modality. Some patients were simultaneously prescribed chemotherapy. We intended that the CT films would be as much representative of the original simulation CT scans that were used for treatment planning, in which no contrast was injected according to our institutional policy.Specifically, we posted around one-half of the CT scans from the dataset (138 patients), in DICOM-RT format, on the Kaggle in Class server system, as a “training set”. DICOM-RT files were fully anonymized, with expert physician segmenting primary tumor and lymph node as regions of interest, to eliminate segmentation-related uncertainty for challengers. The primary oropharyngeal tumor was segmented in red. Whereas, the metastatic cervical lymph nodes were segmented individually, rather than on the basis of the nodal level classification system. Both training and test sets include the following data for each DICOM-RT case:agegenderracetumor side and subsiteT-categoryN-categoryAJCC stagePathologic gradesmoking status (in pack-years)Challenge participants will also be able to download a “test" dataset, which includes the remaining randomly selected 150 patients' DICOM files and relevant clinical meta-data, with local control status blinded.Challenge participants will also be able to download a “test" dataset, which includes the remaining randomly selected half of the dataset, with local control status blinded.Challenge participants will also be able to download a “test" dataset, with the remaining random selected half of the dataset, which will have the local recurrence status blinded.
DOI: 10.6084/m9.figshare.3592857.v4
title: Test set of clinical meta-data for Local Control Challenge

description: This MD Anderson Cancer Center set of anonymized high-quality computed tomography (CT) scans with contrast represent a comparatively homogeneous, uniform cohort of 288 oropharynx cancer patients with detailed clinical history, consistent follow-up of &gt; 2 years, known etiological/biological correlates (specifically, human papilloma virus status). Our major target is to assess/validate the radiomics workflow and predictive capacity of radiomics signatures from challenge participants.We imported the CT scans from the patients’ electronic medical records, that were performed before the initiation of the radiation treatment course. All the patients were treated using the IMRT modality. Some patients were simultaneously prescribed chemotherapy. We intended that the CT films would be as much representative of the original simulation CT scans that were used for treatment planning, in which no contrast was injected according to our institutional policy.Specifically, we posted around one-half of the CT scans from the dataset (138 patients), in DICOM-RT format, on the Kaggle in Class server system, as a “training set”. DICOM-RT files were fully anonymized, with expert physician segmenting primary tumor and lymph node as regions of interest, to eliminate segmentation-related uncertainty for challengers. The primary oropharyngeal tumor was segmented in red. Whereas, the metastatic cervical lymph nodes were segmented individually, rather than on the basis of the nodal level classification system. Both training and test sets include the following data for each DICOM-RT case:agegenderracetumor side and subsiteT-categoryN-categoryAJCC stagePathologic gradesmoking status (in pack-years)Challenge participants will also be able to download a “test" dataset, which includes the remaining randomly selected 150 patients' DICOM files and relevant clinical meta-data, with local control status blinded.Challenge participants will also be able to download a “test" dataset, which includes the remaining randomly selected half of the dataset, with local control status blinded.Challenge participants will also be able to download a “test" dataset, with the remaining random selected half of the dataset, which will have the local recurrence status blinded.
DOI: 10.6084/m9.figshare.3592845
title: Sample result submission for Local Control Challenge

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3592845.v1
title: Sample result submission

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3592845.v3
title: Sample result submission for Local Control Challenge

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3592845.v2
title: Sample result submission for Local Control Challenge

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3592806
title: ReadMe for Local Control Challenge

description: Supplemental information about the headings of the columns in the datasets
DOI: 10.6084/m9.figshare.3592806.v2
title: ReadMe for Local Control Challenge

description: Supplemental information about the headings of the columns in the datasets
DOI: 10.6084/m9.figshare.3592806.v1
title: ReadMe

description: Supplemental information about the headings of the columns in the datasets
DOI: 10.6084/m9.figshare.3592782.v1
title: New draft item

description: MATLAB code for the methods described in "Predicting ecosystem response using ensemble ecosystem modelling" by Baker, Gorden and Bode in Conservation Biology
DOI: 10.6084/m9.figshare.3591033
title: The roles of mutation, selection, and expression in determining relative rates of evolution in mitochondrial vs. nuclear genomes (Supplemental Data - Sequences used in dN/dS calculations)

description: These are the concatenated sequences used to estimate dS, dN, and omega in Figs. 1 and 2 of Havird and Sloan MBE. They include mt-encoded OXPHOS subunits, and nuc-encoded OXPHOS subunits and glycolysis genes. They are provided for the 15 taxonomic groups we examined.<br>Also included are the individual gene sequences for plastid- and nuclear-encoded genes used to estimate omega for Arabidopsis and Vigna in Fig. 5. For some of these genes, the TAIR accession number for the genes is given instead of the gene names. <br>Any other sequences (e.g., individual genes for the concatenated alignments) will be provided upon request to Justin.Havird@colostate.edu
DOI: 10.6084/m9.figshare.3591033.v1
title: SupplData_seqquences_used_for_dNdS_Havird_Sloan_MBE

description: These are the concatenated sequences used to estimate dS, dN, and omega in Figs. 1 and 2 of Havird and Sloan MBE. They include mt-encoded OXPHOS subunits, and nuc-encoded OXPHOS subunits and glycolysis genes. They are provided for the 15 taxonomic groups we examined.<br>Also included are the individual gene sequences for plastid- and nuclear-encoded genes used to estimate omega for Arabidopsis and Vigna in Fig. 5. <br>Any other sequences (e.g., individual genes for the concatenated alignments) will be provided upon request to Justin.Havird@colostate.edu
DOI: 10.6084/m9.figshare.3591033.v2
title: SupplData_sequences_used_for_dNdS_Havird_Sloan_MBE

description: These are the concatenated sequences used to estimate dS, dN, and omega in Figs. 1 and 2 of Havird and Sloan MBE. They include mt-encoded OXPHOS subunits, and nuc-encoded OXPHOS subunits and glycolysis genes. They are provided for the 15 taxonomic groups we examined.<br>Also included are the individual gene sequences for plastid- and nuclear-encoded genes used to estimate omega for Arabidopsis and Vigna in Fig. 5. For some of these genes, the TAIR accession number for the genes is given instead of the gene names. <br>Any other sequences (e.g., individual genes for the concatenated alignments) will be provided upon request to Justin.Havird@colostate.edu
DOI: 10.6084/m9.figshare.3591033.v4
title: The roles of mutation, selection, and expression in determining relative rates of evolution in mitochondrial vs. nuclear genomes (Supplemental Data - Sequences used in dN/dS calculations)

description: These are the concatenated sequences used to estimate dS, dN, and omega in Figs. 1 and 2 of Havird and Sloan MBE. They include mt-encoded OXPHOS subunits, and nuc-encoded OXPHOS subunits and glycolysis genes. They are provided for the 15 taxonomic groups we examined.<br>Also included are the individual gene sequences for plastid- and nuclear-encoded genes used to estimate omega for Arabidopsis and Vigna in Fig. 5. For some of these genes, the TAIR accession number for the genes is given instead of the gene names. <br>Any other sequences (e.g., individual genes for the concatenated alignments) will be provided upon request to Justin.Havird@colostate.edu
DOI: 10.6084/m9.figshare.3591033.v3
title: SupplData_sequences_used_for_dNdS_Havird_Sloan_MBE

description: These are the concatenated sequences used to estimate dS, dN, and omega in Figs. 1 and 2 of Havird and Sloan MBE. They include mt-encoded OXPHOS subunits, and nuc-encoded OXPHOS subunits and glycolysis genes. They are provided for the 15 taxonomic groups we examined.<br>Also included are the individual gene sequences for plastid- and nuclear-encoded genes used to estimate omega for Arabidopsis and Vigna in Fig. 5. For some of these genes, the TAIR accession number for the genes is given instead of the gene names. <br>Any other sequences (e.g., individual genes for the concatenated alignments) will be provided upon request to Justin.Havird@colostate.edu
DOI: 10.6084/m9.figshare.3587103
title: ReadMe for HPV Challenge

description: Supplemental information about the headings of the columns in the datasets
DOI: 10.17632/xzpvkdbt9v.1
title: Number and variety of NPO

description: Dataset of the study by Degli Antoni, G. and Faillo, M. "The Number but not the Variety of Nonprofit Organizations Affects Donations: Evidence from an Experiment"
DOI: 10.6084/m9.figshare.3587103.v1
title: ReadMe

description: Supplemental information about the headings of the columns in the datasets
DOI: 10.6084/m9.figshare.3587103.v3
title: ReadMe for HPV Challenge

description: Supplemental information about the headings of the columns in the datasets
DOI: 10.6084/m9.figshare.3587103.v2
title: ReadMe

description: Supplemental information about the headings of the columns in the datasets
DOI: 10.6084/m9.figshare.3587058
title: Sample result submission for HPV Challenge

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3587058.v1
title: Sample result submission

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3587058.v2
title: Sample result submission

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3587058.v4
title: Sample result submission for HPV Challenge

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3587058.v3
title: Sample result submission for HPV Challenge

description: A sample submission file in the correct format
DOI: 10.6084/m9.figshare.3587010
title: Test set of clinical meta-data

description: This MD Anderson Cancer Center set of anonymized high-quality computed tomography (CT) scans with contrast represent a comparatively homogenous, uniform cohort of 315 oropharyngeal squamous carcinomas with detailed clinical history, consistent follow-up of &gt; 2 years, known etiological/biological correlates (specifically, human papilloma virus status). Our major target is to assess/validate the radiomics workflow and predictive capacity of radiomics signatures from challenge participants.We imported the CT scans from the patients’ electronic medical records, that were performed before the initiation of the radiation treatment course. All the patients were treated using the IMRT modality. Some patients were simultaneously prescribed chemotherapy. We intended that the CT films would be as much representative of the original simulation CT scans that were used for treatment planning, in which no contrast was injected according to our institutional policy.Specifically, we posted one-half of the CT files from the dataset, in DICOM-RT format, on the Kaggle in Class server system, as a “training set”. DICOM-RT files were fully anonymized, with expert physician segmented primary tumor and lymph node regions of interest, to eliminate segmentation-related uncertainty for challengers. The primary oropharyngeal tumor was segmented in red. Whereas, the metastatic cervical lymph nodes were segmented individually, rather than on the basis of the nodal level classification system. The green color was applied in contouring the nodes. Both training and test sets include the following data for each DICOM-RT case:agegenderracetumor side and subsiteT-categoryN-categoryAJCC stagePathologic gradesmoking status (in pack-years)Challenge participants will also be able to download a “test" dataset, with the remaining random selected half of the dataset, which will have the HPV status blinded.<br>
DOI: 10.6084/m9.figshare.3587010.v1
title: Test set of clinical meta-data

description: This MD Anderson Cancer Center set of anonymized high-quality computed tomography (CT) scans with contrast represent a comparatively homogenous, uniform cohort of 315 oropharyngeal squamous carcinomas with detailed clinical history, consistent follow-up of &gt; 2 years, known etiological/biological correlates (specifically, human papilloma virus status). Our major target is to assess/validate the radiomics workflow and predictive capacity of radiomics signatures from challenge participants.We imported the CT scans from the patients’ electronic medical records, that were performed before the initiation of the radiation treatment course. All the patients were treated using the IMRT modality. Some patients were simultaneously prescribed chemotherapy. We intended that the CT films would be as much representative of the original simulation CT scans that were used for treatment planning, in which no contrast was injected according to our institutional policy.Specifically, we posted one-half of the CT files from the dataset, in DICOM-RT format, on the Kaggle in Class server system, as a “training set”. DICOM-RT files were fully anonymized, with expert physician segmented primary tumor and lymph node regions of interest, to eliminate segmentation-related uncertainty for challengers. The primary oropharyngeal tumor was segmented in red. Whereas, the metastatic cervical lymph nodes were segmented individually, rather than on the basis of the nodal level classification system. The green color was applied in contouring the nodes. Both training and test sets include the following data for each DICOM-RT case:agegenderracetumor side and subsiteT-categoryN-categoryAJCC stagePathologic gradesmoking status (in pack-years)Challenge participants will also be able to download a “test" dataset, with the remaining random selected half of the dataset, which will have the HPV status blinded.<br>
DOI: 10.6084/m9.figshare.3586932
title: Training set of clinical meta-data

description: This MD Anderson Cancer Center set of anonymized high-quality computed tomography (CT) scans with contrast represent a comparatively homogenous, uniform cohort of 315 oropharyngeal squamous carcinomas with detailed clinical history, consistent follow-up of &gt; 2 years, known etiological/biological correlates (specifically, human papilloma virus status). Our major target is to assess/validate the radiomics workflow and predictive capacity of radiomics signatures from challenge participants.We imported the CT scans from the patients’ electronic medical records, that were performed before the initiation of the radiation treatment course. All the patients were treated using the IMRT modality. Some patients were simultaneously prescribed chemotherapy. We intended that the CT films would be as much representative of the original simulation CT scans that were used for treatment planning, in which no contrast was injected according to our institutional policy.Specifically, we posted one-half of the CT files from the dataset, in DICOM-RT format, on the Kaggle in Class server system, as a “training set”. DICOM-RT files were fully anonymized, with expert physician segmented primary tumor and lymph node regions of interest, to eliminate segmentation-related uncertainty for challengers. The primary oropharyngeal tumor was segmented in red. Whereas, the metastatic cervical lymph nodes were segmented individually, rather than on the basis of the nodal level classification system. The green color was applied in contouring the nodes. Both training and test sets include the following data for each DICOM-RT case:agegenderracetumor side and subsiteT-categoryN-categoryAJCC stagePathologic gradesmoking status (in pack-years)Challenge participants will also be able to download a “test" dataset, with the remaining random selected half of the dataset, which will have the HPV status blinded.<br>