cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6mx5vv
title: Occurrence Download

description: A dataset containing 1081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Platanus mexicana Moric."
 ]
}

 The dataset includes 1081 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002939-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/20323638
title: TU Delft GNSS Fieldlab (DLAB)

description: The TU Delft GNSS Fieldlab (DLAB) consists of 9 continuously operating GNSS receivers on the campus of the Delft University of Technology in the Netherlands. The main purpose of the network is facilitate research and educational projects at the TU Delft campus and foster research using a dense GNSS receiver network with small baselines.<br>High-rate 1 second data (sbf), 10 and 30 second daily RINEX observation files, and daily RINEX navigation files are available from the TU Delft GNSS Fieldlab website and via anonymous ftp. Station meta-data, station coordinates and tracking performance data and charts are available from the TU Delft GNSS Fieldlab website.
DOI: 10.4121/20323638.v1
title: TU Delft GNSS Fieldlab (DLAB)

description: The TU Delft GNSS Fieldlab (DLAB) consists of 9 continuously operating GNSS receivers on the campus of the Delft University of Technology in the Netherlands. The main purpose of the network is facilitate research and educational projects at the TU Delft campus and foster research using a dense GNSS receiver network with small baselines.<br>High-rate 1 second data (sbf), 10 and 30 second daily RINEX observation files, and daily RINEX navigation files are available from the TU Delft GNSS Fieldlab website and via anonymous ftp. Station meta-data, station coordinates and tracking performance data and charts are available from the TU Delft GNSS Fieldlab website.
DOI: 10.4121/9cd4ed76-f374-4737-be01-0adc927550e2
title: Dutch Permanent GNSS Array (DPGA)

description: The Dutch Permanent GNSS Array (DPGA) consists of about 18 continuously operating GPS (and GLONASS) receivers in the Netherlands and a data and computing center. The main purpose of the network is to to provide GNSS data to the International GNSS Service (IGS), EUREF Permanent GNSS Network (EPN), EUMETNET GPS water vapour programme (E-GVAP), and other national and international projects, and to facilitate research and educational applications.<br>The local data center in Delft provides data for the first order GNSS infrastructure in the Netherlands. The station setup and data is conform international standards. The stations fulfill different purposes: some of them are active reference stations (AGRS.NL), of which several are co-located with tide gauges along the North Sea coast, others are Integrated Geodetic Reference Station (IGRS) equipped corner reflectors for InSAR. Several stations are part of international networks, such as the International GNSS Service (IGS), Euref Permanent GNSS Network (EPN), and others; the data for these stations is forwarded to regional and global data centers.<br>High-rate, hourly and daily RINEX data from the Dutch Permanent GPS Array are available through through the TU Delft DPGA website and via anonymous ftp. Station meta-data, station coordinates, and tracking performance data and charts are available through the website.<br>The Dutch Permanent GNSS array also hosts a NTRIP caster providing real-time data streams for the stations in RTCM-3 MSM7 format and as raw-data streams.
DOI: 10.4121/9cd4ed76-f374-4737-be01-0adc927550e2.v1
title: Dutch Permanent GNSS Array (DPGA)

description: The Dutch Permanent GNSS Array (DPGA) consists of about 18 continuously operating GPS (and GLONASS) receivers in the Netherlands and a data and computing center. The main purpose of the network is to to provide GNSS data to the International GNSS Service (IGS), EUREF Permanent GNSS Network (EPN), EUMETNET GPS water vapour programme (E-GVAP), and other national and international projects, and to facilitate research and educational applications.<br>The local data center in Delft provides data for the first order GNSS infrastructure in the Netherlands. The station setup and data is conform international standards. The stations fulfill different purposes: some of them are active reference stations (AGRS.NL), of which several are co-located with tide gauges along the North Sea coast, others are Integrated Geodetic Reference Station (IGRS) equipped corner reflectors for InSAR. Several stations are part of international networks, such as the International GNSS Service (IGS), Euref Permanent GNSS Network (EPN), and others; the data for these stations is forwarded to regional and global data centers.<br>High-rate, hourly and daily RINEX data from the Dutch Permanent GPS Array are available through through the TU Delft DPGA website and via anonymous ftp. Station meta-data, station coordinates, and tracking performance data and charts are available through the website.<br>The Dutch Permanent GNSS array also hosts a NTRIP caster providing real-time data streams for the stations in RTCM-3 MSM7 format and as raw-data streams.
DOI: 10.15468/dl.hdt6v6
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quassia sanguinea Cheek & Jongkind"
 ]
}

 The dataset includes 56 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000092-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13692236
title: Dataset for publication Harnessing Ti3C2-WS2 Nanostructures as Efficient Energy Scaffoldings for Photocatalytic Hydrogen Generation

description: The dataset contains all relevant data and figures regarding the manuscript "Harnessing Ti3C2-WS2 Nanostructures as Efficient Energy Scaffoldings for Photocatalytic Hydrogen Generation".

All Figures are in tiff format and all relevant data are in csv formats. 

The data in csv format are labelled as specified in the corresping images (e.g. Figure 1a csv file corresponds to data used to plot graphs from Figure 1a etc.). 

Axis labeling and units are always specified at the beginning of individual columns. If more than one curve was plotted from the csv file, the conditions can also be found at the beginning of corresponding columns.
DOI: 10.5281/zenodo.13692237
title: Dataset for publication Harnessing Ti3C2-WS2 Nanostructures as Efficient Energy Scaffoldings for Photocatalytic Hydrogen Generation

description: This is a dataset for a paper "Harnessing Ti3C2-WS2 Nanostructures as Efficient Energy Scaffoldings for Photocatalytic Hydrogen Generation". All details about the data are included in the readme file.
DOI: 10.5281/zenodo.13898224
title: Dataset for publication Harnessing Ti3C2-WS2 Nanostructures as Efficient Energy Scaffoldings for Photocatalytic Hydrogen Generation

description: The dataset contains all relevant data and figures regarding the manuscript "Harnessing Ti3C2-WS2 Nanostructures as Efficient Energy Scaffoldings for Photocatalytic Hydrogen Generation".

All Figures are in tiff format and all relevant data are in csv formats. 

The data in csv format are labelled as specified in the corresping images (e.g. Figure 1a csv file corresponds to data used to plot graphs from Figure 1a etc.). 

Axis labeling and units are always specified at the beginning of individual columns. If more than one curve was plotted from the csv file, the conditions can also be found at the beginning of corresponding columns.
DOI: 10.5281/zenodo.13898349
title: Processed cancer data used in Williams, Oliphant & Au et al. 2024

description: Processed cancer data from TCGA, PCAWG, METABRIC and Nik-Zainal et al. Processed to have copy number calls in 0.5Mb bins across the genome.
DOI: 10.5281/zenodo.13898350
title: Processed cancer data used in Williams, Oliphant & Au et al. 2024

description: Processed cancer data from TCGA, PCAWG, METABRIC and Nik-Zainal et al. Processed to have copy number calls in 0.5Mb bins across the genome.
DOI: 10.5281/zenodo.13898438
title: Dataset for publication Harnessing Ti3C2-WS2 Nanostructures as Efficient Energy Scaffoldings for Photocatalytic Hydrogen Generation

description: The dataset contains all relevant data and figures regarding the manuscript "Harnessing Ti3C2-WS2 Nanostructures as Efficient Energy Scaffoldings for Photocatalytic Hydrogen Generation".

All Figures are in tiff format and all relevant data are in csv formats. 

The data in csv format are labelled as specified in the corresping images (e.g. Figure 1a csv file corresponds to data used to plot graphs from Figure 1a etc.). 

Axis labeling and units are always specified at the beginning of individual columns. If more than one curve was plotted from the csv file, the conditions can also be found at the beginning of corresponding columns.
DOI: 10.5281/zenodo.13643420
title: Supplementary dataset for Zhu et al. 2024: Tracing the evolutionary history of the temperature-sensing prion-like domain in EARLY FLOWERING 3 shows uniqueness of AtELF3

description: This record contains a supplementary dataset of sequence alignment files and a GWAS p-value table that support the publication:

Zhu Z, Trenner J, Delker C, Quint M. 2024. Tracing the evolutionary history of the temperature-sensing prion-like domain in EARLY FLOWERING 3 shows uniqueness of AtELF3.

(submitted to Molecular Biology and Evolution)

 

Included files:

1. datsetFig1_S1_S2_ELF3EEC_tree_435seqs.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 434 ELF3/EEC protein sequences from 274 plant genomes, supporting the phylogenetic tree in Figure 1.

 

2. datasetFig2_ELF3EEC_alignment.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 69 ELF3/EEC protein sequences from selected species, supporting Figure 2.

 

3. datasetFig3_BrassicalesELF3_tree.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 52 ELF3 protein sequences from 44 Brassicales and 8 Poales species, supporting the phylogenetic tree in Figure 3.

 

4. datasetFig4_At319ELF3_CAAremoved_tree.fasta

Multiple DNA sequences alignment by MUSCLE (Edgar, 2004) of 319 AtELF3 coding sequences (CAA repeats removed) supporting the phylogenetic tree in Figure 3.

 

5. pvalues_GWA_Portal_polyQ_length_vs_1001genomes_dataset_AMM.csv

For a genome-wide association study (GWAS) the polyQ length of 319 Arabidopsis thaliana accessions was submitted as phenotype to the interactive GWA-Portal (Seren 2018, https://gwas.gmi.oeaw.ac.at). This P-value output file supports Supplemental Figure S10.

 

 

Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic acids research 32: 1792-1797

 

Seren Ü. (2018). GWA-Portal: Genome-Wide Association Studies Made Easy. In: Ristova, D., Barbez, E. (eds) Root Development. Methods in Molecular Biology, Vol 1761. Humana Press, New York, NY.
DOI: 10.5281/zenodo.13643421
title: Supplementary dataset for Zhu et al. 2024: Tracing the evolutionary history of the temperature-sensing prion-like domain in EARLY FLOWERING 3 shows uniqueness of AtELF3

description: This record contains a supplementary dataset of sequence alignment files and a GWAS p-value table that support the publication:

Zhu Z, Trenner J, Delker C, Quint M. 2024. Tracing the evolutionary history of the temperature-sensing prion-like domain in EARLY FLOWERING 3 shows uniqueness of AtELF3.

(submitted to Molecular Biology and Evolution)

 

Included files:

1. datasetFig1_ELF3EEC_tree_20240418_434seqs.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 434 ELF3/EEC protein sequences from 274 plant genomes, supporting the phylogenetic tree in Figure 1.

 

2. datasetFig2_ELF3EEC_alignment.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 69 ELF3/EEC protein sequences from selected species, supporting Figure 2.

 

3. datasetFig3_BrassicalesELF3_tree.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 52 ELF3 protein sequences from 44 Brassicales and 8 Poales species, supporting the phylogenetic tree in Figure 3.

 

4. datasetFig4_At319ELF3_CAAremoved_tree.fasta

Multiple DNA sequences alignment by MUSCLE (Edgar, 2004) of 319 AtELF3 coding sequences (CAA repeats removed) supporting the phylogenetic tree in Figure 3.

 

5. pvalues_GWA_Portal_polyQ_length_vs_1001genomes_dataset_AMM.csv

For a genome-wide association study (GWAS) the polyQ length of 319 Arabidopsis thaliana accessions was submitted as phenotype to the interactive GWA-Portal (Seren 2018, https://gwas.gmi.oeaw.ac.at). This P-value output file supports Supplemental Figure S10.

 

 

Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic acids research 32: 1792-1797

 

Seren Ü. (2018). GWA-Portal: Genome-Wide Association Studies Made Easy. In: Ristova, D., Barbez, E. (eds) Root Development. Methods in Molecular Biology, Vol 1761. Humana Press, New York, NY.
DOI: 10.5281/zenodo.13898405
title: Supplementary dataset for Zhu et al. 2024: Tracing the evolutionary history of the temperature-sensing prion-like domain in EARLY FLOWERING 3 shows uniqueness of AtELF3

description: This record contains a supplementary dataset of sequence alignment files and a GWAS p-value table that support the publication:

Zhu Z, Trenner J, Delker C, Quint M. 2024. Tracing the evolutionary history of the temperature-sensing prion-like domain in EARLY FLOWERING 3 shows uniqueness of AtELF3.

(submitted to Molecular Biology and Evolution)

 

Included files:

1. datsetFig1_S1_S2_ELF3EEC_tree_435seqs.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 434 ELF3/EEC protein sequences from 274 plant genomes, supporting the phylogenetic tree in Figure 1.

 

2. datasetFig2_ELF3EEC_alignment.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 69 ELF3/EEC protein sequences from selected species, supporting Figure 2.

 

3. datasetFig3_BrassicalesELF3_tree.fasta

Multiple protein sequences alignment by MUSCLE (Edgar, 2004) of 52 ELF3 protein sequences from 44 Brassicales and 8 Poales species, supporting the phylogenetic tree in Figure 3.

 

4. datasetFig4_At319ELF3_CAAremoved_tree.fasta

Multiple DNA sequences alignment by MUSCLE (Edgar, 2004) of 319 AtELF3 coding sequences (CAA repeats removed) supporting the phylogenetic tree in Figure 3.

 

5. pvalues_GWA_Portal_polyQ_length_vs_1001genomes_dataset_AMM.csv

For a genome-wide association study (GWAS) the polyQ length of 319 Arabidopsis thaliana accessions was submitted as phenotype to the interactive GWA-Portal (Seren 2018, https://gwas.gmi.oeaw.ac.at). This P-value output file supports Supplemental Figure S10.

 

 

Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic acids research 32: 1792-1797

 

Seren Ü. (2018). GWA-Portal: Genome-Wide Association Studies Made Easy. In: Ristova, D., Barbez, E. (eds) Root Development. Methods in Molecular Biology, Vol 1761. Humana Press, New York, NY.
DOI: 10.5281/zenodo.11174042
title: DNA hypomethylation-related expression of hsa-miR-184 contribute to invasive growth of gonadotroph neuroendocrine pituitary tumors

description: Gonadotroph neuroendocrine pituitary tumors are among the most common intracranial neoplasms. A notable proportion of these tumors is characterized by invasive growth which hamper the treatment results and worsen prognosis for patients. Increased hsa-miR-184 expression was observed in invasive gonadotroph tumor. This study was aimed to determine the role hsa-miR-184 expression in invasive growth of gonadotroph tumors.

QRT-PCR and bisulfite pyrosequencing were used for evaluating hsa-miR-184 expression and MIR184 DNA methylation levels in tumor and normal pituitary samples. LβT2 and αT3-1 gonadotroph cells were used to test the effect of miR-184 on cell viability (MTT test), proliferation (BrDU incorporation) and migration (scratch assay). RNA sequencing was used for transcriptome analysis in mir-184 treated and untreated LβT2 cells. Differential expression analysis combined with target prediction were used to identify miR-184 target followed by its validation with Luciferase reporter assay.

Analysis of tissue samples showed that hsa-miR-184 is downregulated in gonadotroph tumors and its expression is lower in invasive that noninvasive ones. Promoter of MIR184 is demethylated in tumors and the methylation level is negatively correlated with hsa-miR-184 expression. Transfecting LβT2 and αT3-1 with miR-184 mimic resulted in increasing cellular proliferation and viability. Differentially expressed genes were identified when comparing miR-184 treated and untreated cells including only Nus1 as predicted miR-184 target. The interaction between miR-184 and 3’UTR of Nus1 was confirmed in both LβT2 and αT3-1. Overexpression of Nus1 resulted in lowering cell viability in both cells and proliferation in LβT2. The expression level of NUS1 was found lowered in invasive than noninvasive tumors.

Our results indicate that DNA hypomethylation-related increase of hsa-mir-184 expression contribute to invasive growth of gonadotroph pituitary tumors through targeting NUS1- being one the various molecular mechanisms involved acquiring the aggressive growth potential..fastq.gz files are raw sequences, which were aligned to GRCm39 genome by STAR aligner, subsequently differentiall expression with DESeq2 was performed (DEGs_mir184.csv) and gene set expression analysis was accomplished with fgsea against a range of gene sets (Reactome, Gene Ontology, KEGG, etc.); these results are stored in gsea.zip.
DOI: 10.5281/zenodo.13889969
title: Survey - digital skills and forests visit in Warsaw agglomeration

description: The database contains the results of a survey conducted among a sample of over 1,400 people living in the Warsaw agglomeration. The study focused on determining the digital skills of residents and the use of digital tools when planning and visiting forest areas. It also examined which applications are used to share content about spending time in forests and how this content is shared.
DOI: 10.5281/zenodo.13889970
title: Survey - digital skills and forests visit in Warsaw agglomeration

description: The database contains the results of a survey conducted among a sample of over 1,400 people living in the Warsaw agglomeration. The study focused on determining the digital skills of residents and the use of digital tools when planning and visiting forest areas. It also examined which applications are used to share content about spending time in forests and how this content is shared.
DOI: 10.15468/dl.p6xnfy
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cola cecidiifolia Cheek"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000093-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13898385
title: Desenvolvimento de uma Ferramenta Baseada em Inteligência Artificial para a Predição de Desregulação Endócrina

description: Currently, studies on the reproductive toxicity of chemicals can be conducted through both in vitro and in vivo approaches. However, the implementation of these experimental assays faces numerous challenges, including the limited capacity for data processing given the vast number of commercial chemicals, the operational complexity of the tests, and ethical concerns related to the use of animal models. This work aims to develop artificial intelligence models that serve as alternative methods to predict the toxicity and adverse effect pathways of endocrine disruptors potentially harmful to both the male and female reproductive systems. Initially, datasets of compounds tested in vitro were compiled from the Tox21 and ToxCast databases, from which single-task models (Random Forest, SVM, LightGBM) and multi-task models (MT-DNN) were developed using ECFP4 fingerprints as molecular descriptors.
DOI: 10.5281/zenodo.13898386
title: Desenvolvimento de uma Ferramenta Baseada em Inteligência Artificial para a Predição de Desregulação Endócrina

description: Currently, studies on the reproductive toxicity of chemicals can be conducted through both in vitro and in vivo approaches. However, the implementation of these experimental assays faces numerous challenges, including the limited capacity for data processing given the vast number of commercial chemicals, the operational complexity of the tests, and ethical concerns related to the use of animal models. This work aims to develop artificial intelligence models that serve as alternative methods to predict the toxicity and adverse effect pathways of endocrine disruptors potentially harmful to both the male and female reproductive systems. Initially, datasets of compounds tested in vitro were compiled from the Tox21 and ToxCast databases, from which single-task models (Random Forest, SVM, LightGBM) and multi-task models (MT-DNN) were developed using ECFP4 fingerprints as molecular descriptors.
DOI: 10.15468/dl.w53tfq
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cola hypochrysea K.Schum."
 ]
}

 The dataset includes 109 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000094-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrbcxd
title: Occurrence Download

description: A dataset containing 31819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Rutaceae"
 ]
}

 The dataset includes 31819 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000095-241007104925546/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.27179691
title: Supplementary Material for: Frieden’s Group-V Aplasia Cutis Congenita with In-Utero Scarring in a Dichorionic Twin: A Case Report and Comprehensive Literature Review

description: Aplasia Cutis Congenita (ACC) is a rare congenital disorder characterized by the localized absence of skin at birth, primarily affecting the scalp, but also affecting the trunk and limbs. This case report details a neonate diagnosed with Group V- ACC (G-V ACC) associated with fetus papyraceus from a dichorionic diamniotic twin pregnancy. Born to a 28-year-old Asian mother, the female infant presented with extensive, healed, scar-like lesions on her flanks and upper thighs. These lesions were consistent with the 'H'-shaped distribution commonly described in ACC linked to fetus papyraceus. Despite significant dermatological manifestations, the infant showed no other external abnormalities or systemic involvement, and comprehensive screenings, including ultrasounds and chromosomal microarray, were normal. This discussion highlights the rarity of ACC in such clinical contexts, with only a few over 100 cases reported globally. The pathogenesis is speculated to involve ischemia from acute hypovolemia or disseminated intravascular coagulation due to thrombotic tissue affecting the surviving twin. Management of ACC depends on lesion severity, focusing on preventing infection and promoting healing, with conservative measures in most cases and surgical intervention in some cases. The long-term prognosis for isolated G-V ACC is generally favorable unless associated with systemic complications. This case underscores the importance of recognizing the patterns and potential complications of ACC in twins, contributing to better diagnostic acumen and management strategies for neonatal care.