cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2668159.08fu
title: SH2668159.08FU

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: 10.15468/dl.e3s9mv
title: Occurrence Download

description: A dataset containing 305065 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Xestia xanthographa (Denis & Schiffermüller, 1775)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 305065 records from 334 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084011-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fg3b9
title: Occurrence Download

description: A dataset containing 3426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kuwait",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 3426 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084019-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fk6st7
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084021-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9n5hpa
title: Occurrence Download

description: A dataset containing 2275 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leucania loreyi (Duponchel, 1827)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2275 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084022-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8s2znx
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084023-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s46caa
title: Occurrence Download

description: A dataset containing 12466 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leucania obsoleta Hübner",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 12466 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084024-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94mz2r
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084025-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qpahq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canarilabis alata Johnsen, 1974"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084027-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqfunz
title: Occurrence Download

description: A dataset containing 52065 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leucania comma Linnaeus, 1761",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 52065 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084026-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbwepq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canarilabis alata Johnsen, 1974"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084029-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wa3xu
title: Occurrence Download

description: A dataset containing 29824 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084028-240626123714530/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.25139432
title: 163538 PH Spectroscopic_sequence_1250nm Data

description: RuCl_WSe2_interface2020-07-08 163538 PH Spectroscopic_sequence_1250nm Data
DOI: 10.6084/m9.figshare.25139432.v1
title: 163538 PH Spectroscopic_sequence_1250nm Data

description: RuCl_WSe2_interface2020-07-08 163538 PH Spectroscopic_sequence_1250nm Data
DOI: 10.6084/m9.figshare.25139438
title: 172449 PH Spectroscopic_sequence_1200nm Data

description: RuCl_WSe2_interface2020-07-08 172449 PH Spectroscopic_sequence_1200nm Data
DOI: 10.6084/m9.figshare.25139438.v1
title: 172449 PH Spectroscopic_sequence_1200nm Data

description: RuCl_WSe2_interface2020-07-08 172449 PH Spectroscopic_sequence_1200nm Data
DOI: 10.6084/m9.figshare.25139447
title: 183448 PH Spectroscopic_sequence_950nm Data

description: RuCl_WSe2_interface2020-07-08 183448 PH Spectroscopic_sequence_950nm Data
DOI: 10.6084/m9.figshare.25139447.v1
title: 183448 PH Spectroscopic_sequence_950nm Data

description: RuCl_WSe2_interface2020-07-08 183448 PH Spectroscopic_sequence_950nm Data
DOI: 10.6084/m9.figshare.25138580
title: TCGA

description: The feature matrix and PSN matrix for TCGA dataset.For paper "DeepMoIC: Multi-Omics Data Integration via Deep Graph Convolutional Networks for Cancer Subtype Classification".
DOI: 10.6084/m9.figshare.25138580.v1
title: TCGA

description: The feature matrix and PSN matrix for TCGA dataset.For paper "DeepMoIC: Multi-Omics Data Integration via Deep Graph Convolutional Networks for Cancer Subtype Classification".
DOI: 10.6084/m9.figshare.25139276
title: [Dataset] Shaping the Narratives of the Russia-Ukraine War for Western Audiences: An Exploration of English-language Telegram Channels

description: The dataset contains two files: 1) The list of 55 verified English-language Telegram channels related to discussions of the Russia-Ukraine War, and 2) 125,840 public posts shared by these channels between February 24, 2022, and February 22, 2023. The channels were identified based on snowball sampling. The posts were collected using a custom Python script via Telegram API. More details in the forthcoming paper.
DOI: 10.34740/kaggle/dsv/7548945
title: WallStreetBets 2022
DOI: 10.5281/zenodo.10612727
title: txtools use cases omic references and processed data

description: Dataset


This dataset entry is meant to be downloaded programmatically while rendering the txtools_useCases.Rmd notebooks, to facilitate their replication using the provided genomic references. Processed data is also provided to show ready-to-use examples of data processed by txtools.


Abstract


We present txtools, an R package that enables the processing, analysis, and visualization of RNA-seq data at the nucleotide-level resolution, seamlessly integrating alignments to the genome with transcriptomic representation. txtools’ main inputs are BAM files and a transcriptome annotation, and the main output is a table, capturing mismatches,  deletions, and the number of reads beginning and ending at each nucleotide in the transcriptomic space. txtools further facilitates downstream visualization and analyses. We showcase, using examples from the epitranscriptomic field, how a few calls to txtools functions can yield insightful and ready-to-publish results. txtools is of broad utility also in the context of structural mapping and RNA:protein interaction mapping. By providing a simple and intuitive framework, we believe that txtools will be a useful and convenient tool and pave the path for future discovery.  txtools is available for installation from its GitHub repository at https://github.com/AngelCampos/txtools.
DOI: 10.5281/zenodo.8278044
title: txtools use cases omic references and processed data

description: Dataset


This dataset entry is meant to be downloaded programmatically while rendering the txtools_useCases.Rmd notebooks, to facilitate their replication using the provided genomic references. Processed data is also provided to show ready-to-use examples of data processed by txtools.


Abstract


We present txtools, an R package that enables the processing, analysis, and visualization of RNA-seq data at the nucleotide-level resolution, seamlessly integrating alignments to the genome with transcriptomic representation. txtools’ main inputs are BAM files and a transcriptome annotation, and the main output is a table, capturing mismatches,  deletions, and the number of reads beginning and ending at each nucleotide in the transcriptomic space. txtools further facilitates downstream visualization and analyses. We showcase, using examples from the epitranscriptomic field, how a few calls to txtools functions can yield insightful and ready-to-publish results. txtools is of broad utility also in the context of structural mapping and RNA:protein interaction mapping. By providing a simple and intuitive framework, we believe that txtools will be a useful and convenient tool and pave the path for future discovery.  txtools is available for installation from its GitHub repository at https://github.com/AngelCampos/txtools.
DOI: 10.5281/zenodo.8278045
title: txtools use cases omic references and processed data

description: <strong>Dataset</strong> This dataset entry is meant to be downloaded programmatically while rendering the txtools_useCases.Rmd notebooks, to facilitate their replication using the provided genomic references. Processed data is also provided to show ready-to-use examples of data processed by txtools. <strong>Abstract</strong> We present txtools, an R package that enables the processing, analysis, and visualization of RNA-seq data at the nucleotide-level resolution, seamlessly integrating alignments to the genome with transcriptomic representation. txtools’ main inputs are BAM files and a transcriptome annotation, and the main output is a table, capturing mismatches, deletions, and the number of reads beginning and ending at each nucleotide in the transcriptomic space. txtools further facilitates downstream visualization and analyses. We showcase, using examples from the epitranscriptomic field, how a few calls to txtools functions can yield insightful and ready-to-publish results. txtools is of broad utility also in the context of structural mapping and RNA:protein interaction mapping. By providing a simple and intuitive framework, we believe that txtools will be a useful and convenient tool and pave the path for future discovery. txtools is available for installation from its GitHub repository at https://github.com/AngelCampos/txtools.
DOI: 10.5281/zenodo.8278410
title: txtools use cases omic references and processed data

description: <strong>Dataset</strong> This dataset entry is meant to be downloaded programmatically while rendering the txtools_useCases.Rmd notebooks, to facilitate their replication using the provided genomic references. Processed data is also provided to show ready-to-use examples of data processed by txtools. <strong>Abstract</strong> We present txtools, an R package that enables the processing, analysis, and visualization of RNA-seq data at the nucleotide-level resolution, seamlessly integrating alignments to the genome with transcriptomic representation. txtools’ main inputs are BAM files and a transcriptome annotation, and the main output is a table, capturing mismatches, deletions, and the number of reads beginning and ending at each nucleotide in the transcriptomic space. txtools further facilitates downstream visualization and analyses. We showcase, using examples from the epitranscriptomic field, how a few calls to txtools functions can yield insightful and ready-to-publish results. txtools is of broad utility also in the context of structural mapping and RNA:protein interaction mapping. By providing a simple and intuitive framework, we believe that txtools will be a useful and convenient tool and pave the path for future discovery. txtools is available for installation from its GitHub repository at https://github.com/AngelCampos/txtools.
DOI: 10.5517/ccdc.csd.cc2g5mdp
title: CCDC 2269522: Experimental Crystal Structure Determination

description: Related Article: Ulf Bednarzick, Jonas Gerlach, Marcel Schulte, Ljuba Iovkova, David Tymann, Martin Hiersemann|2024|J.Org.Chem.|89|939|doi:10.1021/acs.joc.3c02022
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.cc2glp0s
title: CCDC 2282065: Experimental Crystal Structure Determination

description: Related Article: Avijit Maity, Akhila K. Sahoo|2024|J.Org.Chem.|89|852|doi:10.1021/acs.joc.3c01720
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.cc2glp81
title: CCDC 2282073: Experimental Crystal Structure Determination

description: Related Article: Avijit Maity, Akhila K. Sahoo|2024|J.Org.Chem.|89|852|doi:10.1021/acs.joc.3c01720
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.cc2gscbz
title: CCDC 2287531: Experimental Crystal Structure Determination

description: Related Article: Ulf Bednarzick, Jonas Gerlach, Marcel Schulte, Ljuba Iovkova, David Tymann, Martin Hiersemann|2024|J.Org.Chem.|89|939|doi:10.1021/acs.joc.3c02022
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.cc2gxf4z
title: CCDC 2291431: Experimental Crystal Structure Determination

description: Related Article: Hamza Enesi Ozomarisi, Kellen T. Sharpe, Victor K. Outlaw|2024|J.Org.Chem.|89|1310|doi:10.1021/acs.joc.3c02324
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.cc2gxf50
title: CCDC 2291432: Experimental Crystal Structure Determination

description: Related Article: Hamza Enesi Ozomarisi, Kellen T. Sharpe, Victor K. Outlaw|2024|J.Org.Chem.|89|1310|doi:10.1021/acs.joc.3c02324
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.cc2gp1mv
title: CCDC 2284347: Experimental Crystal Structure Determination

description: Related Article: Bubul Das, Nikita Chakraborty, Hirendra Nath Dhara, Pratip Bhattacharyya, Bhisma K. Patel|2024|J.Org.Chem.|89|1331|doi:10.1021/acs.joc.3c02479
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: 10.6084/m9.figshare.25139465
title: ZY300.gff3

description: Gene structure annotation for N.tabacum
DOI: 10.6084/m9.figshare.25139468
title: 3.annotation.zip

description: Genome annotation for <i>N.sylvestris</i>
DOI: 10.17909/ypkv-m919
title: Spectrophotometry of the Uranian and Neptunian Systems
DOI: 10.5281/zenodo.10612267
title: Globally, song and instrumental melodies are slower, higher, and use more stable pitches than speech: A Registered Report

description: Codes and data of "Globally, songs and instrumental melodies are slower, higher, and use more stable pitches than speech [Stage 2 Registered Report]" (https://doi.org/10.31234/osf.io/jr9x7). The peer reviews of this Registered Report are available at https://doi.org/10.24072/pci.rr.100469.
DOI: 10.5281/zenodo.10612357
title: Globally, song and instrumental melodies are slower, higher, and use more stable pitches than speech: A Registered Report

description: Codes and data of "Globally, songs and instrumental melodies are slower, higher, and use more stable pitches than speech [Stage 2 Registered Report]" (https://doi.org/10.31234/osf.io/jr9x7). The peer reviews of this Registered Report are available at https://doi.org/10.24072/pci.rr.100469.
DOI: 10.5281/zenodo.10614353
title: DataDashboard

description: This information allows us to replicate the GIS dashboard created
DOI: 10.5281/zenodo.10614354
title: DataDashboard

description: This information allows us to replicate the GIS dashboard created
DOI: 10.5281/zenodo.10614398
title: Supplementary Website, Data, and Scripts for "Investigating Organizational Events in Open-Source Software Projects"

description: Supplementary website containing result plots, pseudonymized input data, analysis scripts, and Dockerfile used to produce the results of "Investigating Organizational Events in Open-Source Software Projects".

The pseudonymized input data is also available separately here: https://zenodo.org/records/10557049
DOI: 10.5281/zenodo.10614399
title: Supplementary Website, Data, and Scripts for "Investigating Organizational Events in Open-Source Software Projects"

description: Supplementary website containing result plots, pseudonymized input data, analysis scripts, and Dockerfile used to produce the results of "Investigating Organizational Events in Open-Source Software Projects".

The pseudonymized input data is also available separately here: https://zenodo.org/records/10557049
DOI: 10.5281/zenodo.10614406
title: njinju/njinju_etal_2023_GJI_ASPECT_code: Instantaneous 3D tomography-based convection beneath the Rungwe Volcanic Province, East Africa: implications for melt generation: Model Output
title: Output of the best model

description: This software package is a modified version of ASPECT v.2.2.0, which allows to reproduce model results of Njinju et al. (submitted to GJI). To reproduce the results, the user needs to make changes to some hard-code parameters like the "Velocity to density" in the initial temperature model file (potential_temperature.cc) in addition to testing the parameters indicated in the original.prm file.