cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26589750
title: Additional file 1 of A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

description: Additional file 1: Strategies of domain knowledge integration and explainability methodsLegends: Types of omic data: G - genomics, P - proteomics, T - transcriptomics, E - epigenomics; GO - GeneOntology; PPI - protein-protein interaction; WGCNA - Weighted Correlation Network Analysis; Deep Learningarchitecture: AE - autoencoder, ANN - Artificial Neural Networks, CNN - Convolutional Neural Network, DAE -Denoising Autoencoder, DBN - Deep Belief Network, DNN - Deep Neural Network, GCNN - graph convolutionalneural network, GCNN-MLP - GCNN multilayer perceptron, MMD-VAE - Maximum Mean Discrepancy VariationalAutoencoder, VAE - Variational Autoencoder, VCDN - View Correlation Discovery Network; Interpretability method:LRP - layer-wise relevance propagation; Interpretability group: II - intrinsically interpretable, PH - post-hoc; Interpretability group: PROC - Processing; REPR - Representation; CREATE -Explanation producing; NA - not applicable.
DOI: 10.6084/m9.figshare.26590047.v1
title: Additional file 4 of Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

description: Additional file 4: Table S3. Marker genes for the human prostate dataset.
DOI: 10.6084/m9.figshare.26590044.v1
title: Additional file 3 of Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

description: Additional file 3: Table S2. Marker genes for the mouse brain dataset.
DOI: 10.6084/m9.figshare.26590041.v1
title: Additional file 2 of Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

description: Additional file 2: Table S1. Marker genes for the mouse brain dataset.
DOI: 10.6084/m9.figshare.26590044
title: Additional file 3 of Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

description: Additional file 3: Table S2. Marker genes for the mouse brain dataset.
DOI: 10.6084/m9.figshare.26590047
title: Additional file 4 of Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

description: Additional file 4: Table S3. Marker genes for the human prostate dataset.
DOI: 10.6084/m9.figshare.26589921.v1
title: Additional file 1 of Predicting movement speed of beetles from body size and temperature

description: Additional file 1. Supplementary tables and figures.
DOI: 10.6084/m9.figshare.26589921
title: Additional file 1 of Predicting movement speed of beetles from body size and temperature

description: Additional file 1. Supplementary tables and figures.
DOI: 10.15468/dl.djmcjn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron ×wilhelminae Hochr."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065867-240626123714530/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.26565168.v1
title: Additional file 3 of In vitro co-culture systems of hepatic and intestinal cells for cellular pharmacokinetic and pharmacodynamic studies of capecitabine against colorectal cancer

description: Additional file 3: One-way ANOVA test on the drug sensitivities of CAP and 5-FU.
DOI: 10.15468/dl.uucgvy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.477532 -36.663201, 144.477532 -36.667692, 144.479778 -36.667692, 144.479778 -36.663201, 144.477532 -36.663201))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065868-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26565168
title: Additional file 3 of In vitro co-culture systems of hepatic and intestinal cells for cellular pharmacokinetic and pharmacodynamic studies of capecitabine against colorectal cancer

description: Additional file 3: One-way ANOVA test on the drug sensitivities of CAP and 5-FU.
DOI: 10.15468/dl.24qt2x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.034258 -32.306351, 149.034258 -32.308596, 149.036504 -32.308596, 149.036504 -32.306351, 149.034258 -32.306351))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065869-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26565156
title: Additional file 1 of Rhizosphere phage communities drive soil suppressiveness to bacterial wilt disease

description: Additional file 1:. Supplementary data
DOI: 10.57782/jh8qck
title: Replication Data for: "Spurious negative eigenvalues of numerical variance-covariance matrices in many-body systems correlate with the existence of frozen degrees of freedom"

description: The combination of all compressed files represents the molecular dynamics data and its analysis that is presented in the related publication.
DOI: 10.6084/m9.figshare.26589981
title: Additional file 4 of Hidden diversity: DNA metabarcoding reveals hyper-diverse benthic invertebrate communities

description: Additional file 4: Appendix 4. The R code used to analysis the data and generate figures. This code is meant to run using the output from Appendix 2.
DOI: 10.15468/dl.r9htdx
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-148.67720 22.05741,-106.18208 22.05741,-106.18208 39.06425,-148.67720 39.06425,-148.67720 22.05741))",
 "HasCoordinate is true",
 "TaxonKey is Dermochelys coriacea (Linnaeus, 1766)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007736-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yupgv7
title: Occurrence Download

description: A dataset containing 566090 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fragaria L."
 ]
}

 The dataset includes 566090 records from 1318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016132-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/2g97-6cuz
title: Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/2sxa-dtue
title: Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/95bg-prrp
title: Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/gm39-v8kw
title: Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/r8bb-jbb6
title: Precipitation_amount at Morvan

description: Measurement of Precipitation_amount at Morvan
DOI: 10.48597/unfu-k5q2
title: Ammonium at Morvan

description: Measurement of Ammonium at Morvan
DOI: 10.48597/7hsr-7bbu
title: Measurement of Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/v9cc-w3ha
title: Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/38xe-mwd9
title: Measurement of Sulphate_total at Morvan

description: Measurement of Sulphate_total at Morvan
DOI: 10.48597/3e3h-5prf
title: Measurement of pH at Morvan

description: Measurement of pH at Morvan
DOI: 10.48597/4bws-3rcj
title: Measurement of Chloride at Morvan

description: Measurement of Chloride at Morvan
DOI: 10.48597/5q8d-xdyb
title: Measurement of Potassium at Morvan

description: Measurement of Potassium at Morvan
DOI: 10.48597/888p-rrpe
title: Measurement of Calcium at Morvan

description: Measurement of Calcium at Morvan
DOI: 10.48597/8ng6-pf2t
title: Measurement of Nitrate at Morvan

description: Measurement of Nitrate at Morvan
DOI: 10.48597/98fx-ngeb
title: Measurement of Ammonium at Morvan

description: Measurement of Ammonium at Morvan
DOI: 10.48597/h4zw-9vww
title: Measurement of Conductivity at Morvan

description: Measurement of Conductivity at Morvan
DOI: 10.48597/htv9-fkgv
title: Measurement of Sodium at Morvan

description: Measurement of Sodium at Morvan
DOI: 10.48597/qkcy-a6ux
title: Measurement of Magnesium at Morvan

description: Measurement of Magnesium at Morvan
DOI: 10.48597/dtqd-rm5z
title: Measurement of Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/7k9y-hc3c
title: Measurement of Precipitation_amount at Morvan

description: Measurement of Precipitation_amount at Morvan
DOI: 10.48597/aqtf-e5tt
title: Measurement of Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.15468/dl.nftpfq
title: Occurrence Download

description: A dataset containing 1853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus niveus Thunb.",
 "BasisOfRecord is one of (Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1853 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008244-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/ephv-7jcd
title: Measurement of Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/et3a-k8k8
title: Measurement of Ammonium at Morvan

description: Measurement of Ammonium at Morvan
DOI: 10.48597/r6uk-nqz7
title: Measurement of Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/w56j-y6v2
title: Measurement of Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/w73m-fvvx
title: Measurement of Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/xh5q-prdn
title: Measurement of Inorganics in precipitation at Morvan

description: Measurement of Inorganics in precipitation at Morvan
DOI: 10.48597/ybzz-pdyc
title: Measurement of Sulphate_corrected at Morvan

description: Measurement of Sulphate_corrected at Morvan
DOI: 10.15156/bio/sh0184929.10fu
title: SH0184929.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184930.10fu
title: SH0184930.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184931.10fu
title: SH0184931.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184932.10fu
title: SH0184932.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184933.10fu
title: SH0184933.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3886/e242786
title: CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD

description: The attached ZIP archives are part of the CDC Text Corpora for Learners program. This version, comprised of 33,567 articles, was constructed on 2024-03-01 using source content retrieved on 2024-01-09.

The attached three ZIP archives contain the 33,567 articles in 33,576 compiled HTML mirrors of the MMWR Morbidity and Mortality Weekly Report including its series: Weekly Reports, Recommendations and Reports, Surveillance Summaries, Supplements, and Notifiable Diseases, a subset of Weekly Reports, constructed ad hoc; EID Emerging Infectious Diseases; and PCD Preventing Chronic Disease.There is one archive per series. The archive attachments are located in the About this Dataset section of this landing page. In that section when you click Show More, the attachments are located in the section Attachments.

The retrieval and organization of the files included making as few changes to raw sources as possible, to support as many downstream uses as possible.
Read less
description: (Downloaded 1/7/2026)
DOI: 10.15156/bio/sh0184934.10fu
title: SH0184934.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.3886/e242786v1
title: CDC Text Corpora for Learners: HTML Mirrors of MMWR, EID, and PCD

description: The attached ZIP archives are part of the CDC Text Corpora for Learners program. This version, comprised of 33,567 articles, was constructed on 2024-03-01 using source content retrieved on 2024-01-09.

The attached three ZIP archives contain the 33,567 articles in 33,576 compiled HTML mirrors of the MMWR Morbidity and Mortality Weekly Report including its series: Weekly Reports, Recommendations and Reports, Surveillance Summaries, Supplements, and Notifiable Diseases, a subset of Weekly Reports, constructed ad hoc; EID Emerging Infectious Diseases; and PCD Preventing Chronic Disease.There is one archive per series. The archive attachments are located in the About this Dataset section of this landing page. In that section when you click Show More, the attachments are located in the section Attachments.

The retrieval and organization of the files included making as few changes to raw sources as possible, to support as many downstream uses as possible.
Read less
description: (Downloaded 1/7/2026)
DOI: 10.15156/bio/sh0184935.10fu
title: SH0184935.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184936.10fu
title: SH0184936.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0184937.10fu
title: SH0184937.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.