cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25416/edgehill.24968961.v1
title: Disabled People’s Perceptions of Public Transport Service in the UK

description: Datasets relating to Disabled People’s Perceptions of Public Transport Service in the UK24th February 2023 - 24th February 2024This exploratory study is to better understand the United Kingdom (UK) transport service for those with disabilities through Transformative Service Research (TSR). This TSR considers Field et al. (2021) Service Research Priority 7 (SRP7 Services for disadvantaged consumers and communities) in the context of Disabled people’s perceptions and lived experiences of public transport service in the UK. Greater insight into Disabled consumer transport experiences at a local/regional level and service ecosystem mindset contributes to much needed innovation on a more diverse, inclusive transport service ecosystem revolution.Datasets 2-7, attached here, are anonymised responses to an online survey. Dataset 1 contained personal data of participants and is not provided here. The aims of the survey were:To explore insights of Disabled people's experiences of public transport in the UK.To consider positive sentiments, barriers and facilitators linked to public transport.To identify suggestions for short and long-term solutions for overcoming some of the barriers.The study results have been submitted for publication and a link will be provided here when available.
DOI: 10.15468/dl.5eq3ux
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ITA.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cosentinia vellea"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047318-251120083545085/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.29125904
title: DCPR_V1.0

description: <b>DCPR</b>This is a repository to deposit the code and data for DCPR model. DCPR is a deep learning framework for circadian phase reconstruction.<b>Main f</b><b>iles</b><b>AD Datasets</b>: Three Alzheimer's Disease(AD) datasets from different brain regions: Entorhinal Cortex (EC), Hippocampus (HIP), and Frontal Cortex (FC).<b>Synthetic datasets</b>: Twelve synthetic datasets differ in varying experimental conditions (e.g., time span, sampling interval, and noise levels).<b>GEO datasets</b>: Six GEO datasets with diffrent species, tissues and sequencing platforms.<b>Transcriptomic datasets: </b>Four additional GEO datasets for model test: the transcriptomic profiles of Bmal1 knockout and Cry1/2 knockout mouse model, normal aging, human skeletal muscle.<b>DCPR_codes</b>: Source code for DCPR model.<b>Visualization</b>: Scripts for data visualization, including circadian curves (cosine model fitting), sample plots (predicted and real time), model performance (CDF curves, and accuracy plots).<b>Supplementary File 1</b>: Seed gene sets derived from mouse peritoneal macrophages/hypothalamus and Papio anubis ileum.<b>Supplementary File 2</b>: Prior knowledge obtained from the Circadian Gene Database (CGDB) and related analysis of core clock genes from mouse liver.<b>Supplementary File 3</b>: Comparative analysis of differential rhythmic patterns in core clock genes between normal and Alzheimer's disease conditions across three brain region datasets (Entorhinal Cortex (EC), Hippocampus (HIP), and Frontal Cortex (FC)).<b>Configuration</b>It is recommended to use the conda environment (python 3.8). See environment.yaml for details.<b>How to use</b>refer to<b> </b>https://github.com/NJAU-CDSIC/DCPR_V1.0<br>
DOI: 10.15468/dl.s32gvz
title: Occurrence Download

description: A dataset containing 715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.40084 41.40334,1.47671 41.40334,1.47671 41.46789,1.40084 41.46789,1.40084 41.40334))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2022-2024"
 ]
}

 The dataset includes 715 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047319-251120083545085/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.29125904.v7
title: DCPR_V1.0

description: <b>DCPR</b>This is a repository to deposit the code and data for DCPR model. DCPR is a deep learning framework for circadian phase reconstruction.<b>Main f</b><b>iles</b><b>AD Datasets</b>: Three Alzheimer's Disease(AD) datasets from different brain regions: Entorhinal Cortex (EC), Hippocampus (HIP), and Frontal Cortex (FC).<b>Synthetic datasets</b>: Twelve synthetic datasets differ in varying experimental conditions (e.g., time span, sampling interval, and noise levels).<b>GEO datasets</b>: Six GEO datasets with diffrent species, tissues and sequencing platforms.<b>Transcriptomic datasets: </b>Four additional GEO datasets for model test: the transcriptomic profiles of Bmal1 knockout and Cry1/2 knockout mouse model, normal aging, human skeletal muscle.<b>DCPR_codes</b>: Source code for DCPR model.<b>Visualization</b>: Scripts for data visualization, including circadian curves (cosine model fitting), sample plots (predicted and real time), model performance (CDF curves, and accuracy plots).<b>Supplementary File 1</b>: Seed gene sets derived from mouse peritoneal macrophages/hypothalamus and Papio anubis ileum.<b>Supplementary File 2</b>: Prior knowledge obtained from the Circadian Gene Database (CGDB) and related analysis of core clock genes from mouse liver.<b>Supplementary File 3</b>: Comparative analysis of differential rhythmic patterns in core clock genes between normal and Alzheimer's disease conditions across three brain region datasets (Entorhinal Cortex (EC), Hippocampus (HIP), and Frontal Cortex (FC)).<b>Configuration</b>It is recommended to use the conda environment (python 3.8). See environment.yaml for details.<b>How to use</b>refer to<b> </b>https://github.com/NJAU-CDSIC/DCPR_V1.0<br>
DOI: 10.6084/m9.figshare.29125904.v6
title: DCPR_V1.0

description: <b>DCPR</b>This is a repository to deposit the code and data for DCPR model. DCPR is a deep learning framework for circadian phase reconstruction.<b>Main f</b><b>iles</b><b>AD Datasets</b>: Three Alzheimer's Disease(AD) datasets from different brain regions: Entorhinal Cortex (EC), Hippocampus (HIP), and Frontal Cortex (FC).<b>Synthetic datasets</b>: Twelve synthetic datasets differ in varying experimental conditions (e.g., time span, sampling interval, and noise levels).<b>GEO datasets</b>: Six GEO datasets with diffrent species, tissues and sequencing platforms.<b>Transcriptomic datasets: </b>Three additional GEO datasets for model test: the transcriptomic profiles of Bmal1 knockout and Cry1/2 knockout mouse model, normal aging, human skeletal muscle.<b>DCPR_codes</b>: Source code for DCPR model.<b>Visualization</b>: Scripts for data visualization, including circadian curves (cosine model fitting), sample plots (predicted and real time), model performance (CDF curves, and accuracy plots).<b>Supplementary File 1</b>: Seed gene sets derived from mouse peritoneal macrophages/hypothalamus and Papio anubis ileum.<b>Supplementary File 2</b>: Prior knowledge obtained from the Circadian Gene Database (CGDB) and related analysis of core clock genes from mouse liver.<b>Supplementary File 3</b>: Comparative analysis of differential rhythmic patterns in core clock genes between normal and Alzheimer's disease conditions across three brain region datasets (Entorhinal Cortex (EC), Hippocampus (HIP), and Frontal Cortex (FC)).<b>Configuration</b>It is recommended to use the conda environment (python 3.8). See environment.yaml for details.<b>How to use</b>refer to<b> </b>https://github.com/NJAU-CDSIC/DCPR_V1.0<br>
DOI: 10.15468/dl.22jyx5
title: Occurrence Download

description: A dataset containing 7163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hedychium coronarium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7163 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047320-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jaxq4
title: Occurrence Download

description: A dataset containing 15227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptotyphlopidae"
 ]
}

 The dataset includes 15227 records from 300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008670-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjn5at
title: Occurrence Download

description: A dataset containing 9505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-107.14153 -7.52878,-39.89641 -7.52878,-39.89641 19.34128,-107.14153 19.34128,-107.14153 -7.52878))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus humboldtii Bonpl."
 ]
}

 The dataset includes 9505 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008668-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bsv7s
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria lindenbergiana (Nees) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 425 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008673-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7q8eu
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xenotyphlopidae"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008674-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13368195
title: Ciência Vitae controlled vocabulary - Type of website
DOI: 10.5281/zenodo.13368196
title: Controlled Vocabulary: Type of Website in SKOS
DOI: 10.5281/zenodo.13623744
title: Controlled Vocabulary: Type of Website in SKOS
DOI: 10.5281/zenodo.13888002
title: Ciência Vitae controlled vocabulary - Type of website
DOI: 10.5281/zenodo.13921867
title: Ciência Vitae controlled vocabulary - Type of website
DOI: 10.15468/dl.ezzaqe
title: Occurrence Download

description: A dataset containing 40763 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Typhlopidae"
 ]
}

 The dataset includes 40763 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008671-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13919489
title: Dataset used as inputs for the D-rex project
DOI: 10.5281/zenodo.13919490
title: Dataset used as inputs for the D-rex project
DOI: 10.15468/dl.zvcyc6
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.36213 6.62889,-74.38781 6.65171,-74.38646 6.69199,-74.41939 6.74194,-74.43814 6.73926,-74.45242 6.75355,-74.52921 6.6598,-74.53921 6.65977,-74.56403 6.63301,-74.58368 6.61515,-74.60689 6.5839,-74.63011 6.57408,-74.62385 6.54997,-74.62732 6.53334,-74.65064 6.44908,-74.67386 6.45176,-74.67921 6.47497,-74.71404 6.47944,-74.73457 6.47765,-74.75511 6.48747,-74.74618 6.44461,-74.7177 6.44243,-74.72386 6.42408,-74.71582 6.39551,-74.69796 6.39015,-74.69796 6.36961,-74.67832 6.36247,-74.681 6.34104,-74.66515 6.32437,-74.64449 6.33097,-74.62358 6.30945,-74.63457 6.30622,-74.63636 6.28122,-74.60957 6.27407,-74.6051 6.25711,-74.56939 6.26336,-74.56135 6.25622,-74.53903 6.26782,-74.49082 6.28657,-74.45473 6.32071,-74.43715 6.35894,-74.42066 6.39609,-74.38114 6.40172,-74.36772 6.41052,-74.40171 6.46858,-74.39204 6.50878,-74.41491 6.53413,-74.41754 6.54898,-74.4071 6.59134,-74.36213 6.62889))",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008675-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjw3y8
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.2.92_2, COL.2.103_2, COL.2.44_2)",
 "StateProvince is one of (antioquia)",
 "TaxonKey is one of (Enterolobium cyclocarpum (Jacq.) Griseb.)"
 ]
 }
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008677-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmr5jr
title: Occurrence Download

description: A dataset containing 841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria longiseta P.Beauv.",
 "Continent is Africa"
 ]
}

 The dataset includes 841 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008678-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13368194
title: Controlled Vocabulary: Type of Usage in SKOS
DOI: 10.5281/zenodo.13623739
title: Controlled Vocabulary: Type of Usage in SKOS
DOI: 10.5281/zenodo.13368193
title: Ciência Vitae controlled vocabulary - Type of usage
DOI: 10.5281/zenodo.13888001
title: Ciência Vitae controlled vocabulary - Type of usage
DOI: 10.5281/zenodo.13921870
title: Ciência Vitae controlled vocabulary - Type of usage
DOI: 10.15468/dl.b2ath8
title: Occurrence Download

description: A dataset containing 2925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria megaphylla (Steud.) T.Durand & Schinz",
 "Continent is Africa"
 ]
}

 The dataset includes 2925 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008680-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13368191
title: Ciência Vitae controlled vocabulary - Type of grade
DOI: 10.5281/zenodo.13368192
title: Controlled Vocabulary: Type of Grade in SKOS
DOI: 10.5281/zenodo.13623738
title: Controlled Vocabulary: Type of Grade in SKOS
DOI: 10.5281/zenodo.13887996
title: Ciência Vitae controlled vocabulary - Type of grade
DOI: 10.5281/zenodo.13921873
title: Ciência Vitae controlled vocabulary - Type of grade
DOI: 10.15468/dl.txbbrs
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria petiolata Stapf & C.E.Hubb.",
 "Continent is Africa"
 ]
}

 The dataset includes 42 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008682-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13368158
title: Controlled Vocabulary: Role played in SKOS
DOI: 10.5281/zenodo.13623701
title: Controlled Vocabulary: Role played in SKOS
DOI: 10.5281/zenodo.13835013
title: Controlled Vocabulary: Role played in SKOS
DOI: 10.5281/zenodo.13368157
title: Ciência Vitae controlled vocabulary - Role played
DOI: 10.5281/zenodo.13887934
title: Ciência Vitae controlled vocabulary - Role played
DOI: 10.5281/zenodo.13921874
title: Ciência Vitae controlled vocabulary - Role played
DOI: 10.15468/dl.2p2aec
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria pseudaristata (Peter) Pilg.",
 "Continent is Africa"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008684-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13315586
title: scProAtlas: an atlas of multiplexed single-cell spatial proteomics imaging in human tissues

description: All analysis results for the spatial proteomics imaging techniques in the scProAtlas database are stored in compressed files named accordingly. Within each compressed file, the folders are organized in a fixed storage structure in the following order: Analysis module > Imaging Technique > Dataset > Tissue > ROI.

Each folder contains the corresponding metadata (including original sample information, cell type annotations, and neighborhood annotations) stored in a file named cells.tsv. Additionally, the module used to identify spatial pattern genes includes an anndata format file, named adata_moran.h5ad, which stores the integrated results of scRNA-seq and spatial proteomics.
DOI: 10.5281/zenodo.13921833
title: scProAtlas: an atlas of multiplexed single-cell spatial proteomics imaging in human tissues

description: All analysis results for the spatial proteomics imaging techniques in the scProAtlas database are stored in compressed files named accordingly. Within each compressed file, the folders are organized in a fixed storage structure in the following order: Analysis module > Imaging Technique > Dataset > Tissue > ROI.

Each folder contains the corresponding metadata (including original sample information, cell type annotations, and neighborhood annotations) stored in a file named cells.tsv. Additionally, the module used to identify spatial pattern genes includes an anndata format file, named adata_moran.h5ad, which stores the integrated results of scRNA-seq and spatial proteomics.

scProAtlas_analysis_code.tar.gz contains example codes for all analysis modules in scProAtlas. Here, we provide the example using SCP_CODEX1 - Large intestine. The codes include all the scripts used for the entire workflow, from image segmentation to scRNA-spatial proteomics integration, and spatial analysis.
DOI: 10.5281/zenodo.13623685
title: Controlled Vocabulary: Devices in SKOS
DOI: 10.5281/zenodo.13368131
title: Ciência Vitae controlled vocabulary - Type of device
DOI: 10.5281/zenodo.13368132
title: Controlled Vocabulary: Devices in SKOS
DOI: 10.5281/zenodo.13887944
title: Ciência Vitae controlled vocabulary - Type of device
DOI: 10.5281/zenodo.13921876
title: Ciência Vitae controlled vocabulary - Type of device
DOI: 10.15468/dl.35tth6
title: Occurrence Download

description: A dataset containing 4240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria pumila (Poir.) Roem. & Schult.",
 "Continent is Africa"
 ]
}

 The dataset includes 4240 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008686-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13368129
title: Ciência Vitae controlled vocabulary - Language Skills
DOI: 10.5281/zenodo.13368130
title: Controlled Vocabulary: Language Skills in SKOS
DOI: 10.5281/zenodo.13623690
title: Controlled Vocabulary: Language Skills in SKOS
DOI: 10.5281/zenodo.13887945
title: Ciência Vitae controlled vocabulary - Language Skills
DOI: 10.5281/zenodo.13921881
title: Ciência Vitae controlled vocabulary - Language Skills
DOI: 10.15468/dl.meym9b
title: Occurrence Download

description: A dataset containing 540 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boana picturata (Boulenger, 1899)"
 ]
}

 The dataset includes 540 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008690-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oh9qj0
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IOW Natural History & Archaeological Society Marine Records"
 ]
}

 The dataset includes 916 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006733-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99zwds
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lippia krenakiana P.H.Cardoso, V.I.R.Valério & Salimena"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171497-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxep3j
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Odorrana bolavensis (Stuart & Bain, 2005)"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050252-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2epww
title: Occurrence Download

description: A dataset containing 151102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "GadmGid is RUS.30_1",
 "OccurrenceStatus is Present",
 "Year 2013-2023"
 ]
}

 The dataset includes 151102 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025982-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt2upv
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "TaxonKey is Promenaea stapelioides (Link & Otto) Lindl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006733-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.