cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7788722
title: Supplementary data for "Critically Evaluated Atomic Data for Au IV Spectrum"

description: Transition data for computing opacity of Au IV in the kilonova ejecta have been provided. These files are a part of the article, "Critically Evaluated Atomic Data for Au IV Spectrum" submitted to ApJS journal. The files named as "Au4_Levels_Opacity.txt" and "Au4_Lin_Opacity.txt" describe the energy levels of Au IV spectrum and its radiative line parameters for E1-type of transitions, respectively.
DOI: 10.5281/zenodo.7849563
title: Project Gutenberg Self-Publishing Press: Portuguese Books

description: A collection of 40 books written in Portuguese and published at Project Gutenberg Self-Publishing - eBooks | Read eBooks online | Free eBooks. The <em>gutenberg_selfpub_tagged.vrt</em> file contains all the books. The texts were tagged using Spacy large trained model for Portuguese (https://spacy.io/models/pt) The corpus metadata is listed in <em>gutenberg_selfpub_metadata.tsv</em> <em>gutenberg_selfpub_xml_untagged.zip</em> contains all the untagged texts. The XML files contain the following tags and attributes: chapter: n dedication text:id title author subtitle part: n acknowledge summary: lang publisher short: n biography
DOI: 10.5281/zenodo.7849562
title: Project Gutenberg Self-Publishing Press: Portuguese Books

description: A collection of 40 books written in Portuguese and published at Project Gutenberg Self-Publishing - eBooks | Read eBooks online | Free eBooks. The <em>gutenberg_selfpub_tagged.vrt</em> file contains all the books. The texts were tagged using Spacy large trained model for Portuguese (https://spacy.io/models/pt) The corpus metadata is listed in <em>gutenberg_selfpub_metadata.tsv</em> <em>gutenberg_selfpub_xml_untagged.zip</em> contains all the untagged texts. The XML files contain the following tags and attributes: chapter: n dedication text:id title author subtitle part: n acknowledge summary: lang publisher short: n biography
DOI: 10.5281/zenodo.5653163
title: Training data for 'Genome annotation with Funannotate' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with funannotate. Genome was assembled following the GTN Flye assembly tutorial, then masked with RepeatMasker. RNASeq data: SRR12951075 and SRR8534859 reads were mapped to the genome using STAR (toolshed.g2.bx.psu.edu/repos/iuc/rgrnastar/rna_star/2.7.8a+galaxy0), then bam mere merged (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_MergeSamFiles/2.18.2.1) and downsampled (10% with toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_DownsampleSam/2.18.2.1) to reduce the size of the dataset. Fastq fiels were then extracted from the resulting bam file (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_SamToFastq/2.18.2.1). SwissProt_subset.fasta is a subset of SwissProt proteins that are known to have some similarity with the genome (found using Diamond against the genome, then extracting sequences matching with e-value &lt; 0.0001).
DOI: 10.5281/zenodo.5718469
title: Training data for 'Genome annotation with Funannotate' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with funannotate. Genome was assembled following the GTN Flye assembly tutorial, then masked with RepeatMasker. RNASeq data: SRR8534859 reads were mapped to the genome using STAR (toolshed.g2.bx.psu.edu/repos/iuc/rgrnastar/rna_star/2.7.8a+galaxy0), then the bam was downsampled (15% with toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_DownsampleSam/2.18.2.1) to reduce the size of the dataset. Fastq files were then extracted from the resulting bam file (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_SamToFastq/2.18.2.1). SwissProt_subset.fasta is a subset of SwissProt proteins that are known to have some similarity with the genome (found using Diamond against the genome, then extracting sequences matching with e-value &lt; 0.0001).
DOI: 10.5281/zenodo.5721136
title: Training data for 'Genome annotation with Funannotate' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with funannotate. Genome was assembled following the GTN Flye assembly tutorial, then masked with RepeatMasker. RNASeq data: SRR8534859 reads were mapped to the genome using STAR (toolshed.g2.bx.psu.edu/repos/iuc/rgrnastar/rna_star/2.7.8a+galaxy0), then the bam was downsampled (10% with toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_DownsampleSam/2.18.2.1) to reduce the size of the dataset. Fastq files were then extracted from the resulting bam file (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_SamToFastq/2.18.2.1). SwissProt_subset.fasta is a subset of SwissProt proteins that are known to have some similarity with the genome (found using Diamond against the genome, then extracting sequences matching with e-value &lt; 0.0001).
DOI: 10.5281/zenodo.5726818
title: Training data for 'Genome annotation with Funannotate' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with funannotate. Genome was assembled following the GTN Flye assembly tutorial, then masked with RepeatMasker. RNASeq data: SRR8534859 reads were mapped to the genome using STAR (toolshed.g2.bx.psu.edu/repos/iuc/rgrnastar/rna_star/2.7.8a+galaxy0), then the bam was downsampled (10% with toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_DownsampleSam/2.18.2.1) to reduce the size of the dataset. Fastq files were then extracted from the resulting bam file (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_SamToFastq/2.18.2.1). SwissProt_subset.fasta is a subset of SwissProt proteins that are known to have some similarity with the genome (found using Diamond against the genome, then extracting sequences matching with e-value &lt; 0.0001).
DOI: 10.5281/zenodo.5653162
title: Training data for 'Genome annotation with Funannotate' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with funannotate. Genome was assembled following the GTN Flye assembly tutorial, then masked with RepeatMasker. RNASeq data: SRR8534859 reads were mapped to the genome using STAR (toolshed.g2.bx.psu.edu/repos/iuc/rgrnastar/rna_star/2.7.8a+galaxy0), then the bam was downsampled (10% with toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_DownsampleSam/2.18.2.1) to reduce the size of the dataset. Fastq files were then extracted from the resulting bam file (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_SamToFastq/2.18.2.1). SwissProt_subset.fasta is a subset of SwissProt proteins that are known to have some similarity with the genome (found using Diamond against the genome, then extracting sequences matching with e-value &lt; 0.0001).
DOI: 10.5281/zenodo.5729114
title: Training data for 'Genome annotation with Funannotate' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with funannotate. Genome was assembled following the GTN Flye assembly tutorial, then masked with RepeatMasker. RNASeq data: SRR8534859 reads were mapped to the genome using STAR (toolshed.g2.bx.psu.edu/repos/iuc/rgrnastar/rna_star/2.7.8a+galaxy0), then the bam was downsampled (10% with toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_DownsampleSam/2.18.2.1) to reduce the size of the dataset. Fastq files were then extracted from the resulting bam file (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_SamToFastq/2.18.2.1). SwissProt_subset.fasta is a subset of SwissProt proteins that are known to have some similarity with the genome (found using Diamond against the genome, then extracting sequences matching with e-value &lt; 0.0001).
DOI: 10.5281/zenodo.5906635
title: Training data for 'Genome annotation with Funannotate' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with funannotate. Genome was assembled following the GTN Flye assembly tutorial, then masked with RepeatMasker. RNASeq data: SRR8534859 reads were mapped to the genome using STAR (toolshed.g2.bx.psu.edu/repos/iuc/rgrnastar/rna_star/2.7.8a+galaxy0), then the bam was downsampled (10% with toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_DownsampleSam/2.18.2.1) to reduce the size of the dataset. Fastq files were then extracted from the resulting bam file (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_SamToFastq/2.18.2.1). SwissProt_subset.fasta is a subset of SwissProt proteins that are known to have some similarity with the genome (found using Diamond against the genome, then extracting sequences matching with e-value &lt; 0.0001).
DOI: 10.5281/zenodo.7867921
title: Training data for 'Genome annotation with Funannotate' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with funannotate. Genome was assembled following the GTN Flye assembly tutorial, then masked with RepeatMasker. RNASeq data: SRR8534859 reads were mapped to the genome using STAR (toolshed.g2.bx.psu.edu/repos/iuc/rgrnastar/rna_star/2.7.8a+galaxy0), then the bam was downsampled (10% with toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_DownsampleSam/2.18.2.1) to reduce the size of the dataset. Fastq files were then extracted from the resulting bam file (toolshed.g2.bx.psu.edu/repos/devteam/picard/picard_SamToFastq/2.18.2.1). SwissProt_subset.fasta is a subset of SwissProt proteins that are known to have some similarity with the genome (found using Diamond against the genome, then extracting sequences matching with e-value &lt; 0.0001).
DOI: 10.35077/add-fin
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 732141043

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: cell in slice
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 732141043', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'732141043', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'732141043', Locations:'MTG' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.5281/zenodo.7867981
title: Sentinel-2 Wind Turbine Images with Spin and Spin Quality Labels

description: Reproduction Data for training a classifier on the Sentinel-2 Band Offset for motion detection.
DOI: 10.5281/zenodo.7867980
title: Sentinel-2 Wind Turbine Images with Spin and Spin Quality Labels

description: Reproduction Data for training a classifier on the Sentinel-2 Band Offset for motion detection.
DOI: 10.35077/add-fit
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 758308134

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: cell in slice
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 758308134', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'758308134', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'758308134', Locations:'TemL' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.5281/zenodo.7643646
title: Annotated Video Dataset of Fencing Movements and Corresponding Error Patterns

description: Video dataset containing 1289 videos and their augmentation of four fencing movements, performed by a variety of fencers. The main actions included are counterattack, lunge, flèche and parry. For each movement samples with typical error patterns are included and annotated. Additionally labels for mulit-labelling are documented. The corresponding paper "Mastering Fencing Techniques with Machine Learning: A Video-Based Classification and Correction System" is published at the 10th IEEE Swiss Conference on Data Science (SDS 2023)
DOI: 10.5281/zenodo.7643645
title: Annotated Video Dataset of Fencing Movements and Corresponding Error Patterns

description: Video dataset containing 1289 videos and their augmentation of four fencing movements, performed by a variety of fencers. The main actions included are counterattack, lunge, flèche and parry. For each movement samples with typical error patterns are included and annotated. Additionally labels for mulit-labelling are documented. The corresponding paper "Mastering Fencing Techniques with Machine Learning: A Video-Based Classification and Correction System" is published at the 10th IEEE Swiss Conference on Data Science (SDS 2023)
DOI: 10.35077/add-fix
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 760944994

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: cell in slice
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 760944994', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'760944994', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'760944994', Locations:'TemL' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.35077/add-fly
title: Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 808920264

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: cell in slice
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in human neocortex, Cell ID 808920264', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'808920264', Species:'human', NCBITaxonomy:'NCBI:txid9606', SampleLocalID:'808920264', Locations:'SFG' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114'
DOI: 10.35078/zzmalc
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Diamantina | Município: Inhaúma

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.15468/dl.tzqjf4
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((61.25729 22.99390,163.74271 22.99390,163.74271 64.00610,61.25729 64.00610,61.25729 22.99390))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thymus quinquecostatus Čelak."
 ]
}

 The dataset includes 658 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0384132-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-56015
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.rizhgc
title: Occurrence Download

description: A dataset containing 290680 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is one of (Fiji, Tonga)"
 ]
}

 The dataset includes 290680 records from 521 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001774-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3add5
title: Occurrence Download

description: A dataset containing 40952 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spheniscus Brisson, 1760"
 ]
}

 The dataset includes 40952 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097903-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ahkv3
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 Cymbidium floribundum Lindl.",
 "Year 1970-2022"
 ]
}

 The dataset includes 69 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250757-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-55787
title: Redemption tidings, vol. 36, nos. 1-52, 1 Jan. - 23 Dec. 1960

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.7jhol9
title: Occurrence Download

description: A dataset containing 1212 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Ambystoma velasci Dugès, 1888",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1212 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001774-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2zbrz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Synotis chingiana C.Jeffrey & Y.L.Chen"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322734-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx72p3
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterostylis parca (D.L.Jones) G.N.Backh."
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097915-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-55812
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.hjdbsj
title: Occurrence Download

description: A dataset containing 534 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cortaderia richardii (Endl.) Zotov"
 ]
}

 The dataset includes 534 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011004-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-55858
title: Redemption tidings, vol. 37, nos. 1-52, 1 Jan. - 22 Dec. 1961

description: [description english/roman)] Issued weekly. "A full gospel magazine" -- subtitle.
DOI: 10.15468/dl.fp5bnc
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus rolfei S.Vidal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 582 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010046-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.