cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0108082.10fu
title: SH0108082.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive116246.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive116246.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0108083.10fu
title: SH0108083.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive116247.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive116247.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0108084.10fu
title: SH0108084.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive116248.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0108085.10fu
title: SH0108085.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive116248.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive116249.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0108086.10fu
title: SH0108086.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive116249.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive116250.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0108087.10fu
title: SH0108087.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive116250.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive116251.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0108088.10fu
title: SH0108088.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.c.3611249_d3.v1
title: Additional file 5: of Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans

description: Granulocyte de novo mRNA loci annotation (10,092 loci): BED12 formatted file can be directly uploaded into UCSC browser. Column 5 indicates number of transcripts in the locus. (BED 765 kb)
DOI: 10.6084/m9.figshare.c.3611252_d2.v1
title: Additional file 2 of Enabling network inference methods to handle missing data and outliers

description: OUTLIERS. The source code of the outlier scheme for detection and correction is provided ready to be used in MATLAB. (M 3 kb)
DOI: 10.6084/m9.figshare.c.3611249_d4.v1
title: Additional file 8: of Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans

description: Annotation of granulocyte de novo lncRNA transcripts showing significantly variable expression (1,069 transcripts): BED12 formatted file can be directly uploaded into UCSC browser. (BED 117 kb)
DOI: 10.6084/m9.figshare.c.3611249_d6.v1
title: Additional file 6: of Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans

description: Granulocyte de novo mRNA transcript annotation (132,864 transcripts): BED12 formatted file can be directly uploaded into UCSC browser. (BED 23458 kb)
DOI: 10.17863/cam.109042
title: I-CeM Lookup Table -- Institution Codes, 1921

description: This spreadsheet is designed to be used in conjunction with the Integrated Census Microdata (I-CeM) collection of historic census data covering the period 1851 to 1921. For further details of the I-CeM data collection, please visit the comprehensive project website at: https://www.campop.geog.cam.ac.uk/research/projects/icem/ Outline information on the I-CeM project are also provided on the README page of this spreadsheet. This file is specifically related to the I-CeM data collection variable INSTCODE
DOI: 10.6084/m9.figshare.c.3611249_d7.v1
title: Additional file 11: of Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans

description: Donor saturation curve samples and pools: overview with list of donors, assemblies, and number of loci identified using different number of donors. A List of 120 donors used in the donor saturation study with corresponding population and pool it was grouped into. B List of randomly picked pools for each data point. C Number of de novo lncRNA and mRNA loci annotated using different number of transcriptome assemblies (donors) – data for plotting Fig. 7b, S32C-E and S34. D Number of de novo lncRNA and mRNA loci from ‘120 donors’ annotation identified using less transcriptome assemblies (donors) - data for plotting donor saturation curve - Figure S35A. E Number of de novo lncRNAs from different expression bins identified from increasing number of donors - data for plotting Figure S33. (XLSX 34 kb)
DOI: 10.6084/m9.figshare.c.3611249_d8.v1
title: Additional file 10: of Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans

description: LCL de novo lncRNA transcript annotation (8,560 transcripts): BED12 formatted file can be directly uploaded into UCSC browser. (BED 884 kb)
DOI: 10.6084/m9.figshare.c.3611249_d9.v1
title: Additional file 4: of Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans

description: Granulocyte de novo lncRNA transcript annotation (6,249 transcripts): BED12 formatted file can be directly uploaded into UCSC browser. (BED 655 kb)
DOI: 10.6084/m9.figshare.c.3611249_d10.v1
title: Additional file 2: of Long non-coding RNAs display higher natural expression variation than protein-coding genes in healthy humans

description: A Human granulocyte samples sequenced in this study. B List of human granulocyte RNA-seq datasets produced in the study. C Pools used for human granulocyte transcriptome assembly. D Well-known lncRNAs used to adjust RNAcode and CPC pipeline output. E Validation of de novo granulocyte lncRNA splice junctions by means of exon spanning RT-PCR. F Validation of de novo granulocyte lncRNA transcripts not supported by public annotations by means of cloning and Sanger Sequencing: overview. G Validation of de novo granulocyte lncRNA transcripts not supported by public annotations by means of cloning and Sanger Sequencing: sequencing results and Genbank accession numbers. H Overview of the publicly available RNA-seq datasets used in the study. I Pools used for human LCL transcriptome assembly (GEUVADIS raw RNA-seq data used - [50]). J Overview of the GTEx RNA-seq datasets used in the study. (XLSX 127 kb)
DOI: 10.6084/m9.figshare.c.3611465_d2.v1
title: Additional file 1: of The highly expressed 5’isomiR of hsa-miR-140-3p contributes to the tumor-suppressive effects of miR-140 by reducing breast cancer proliferation and migration

description: miRNA seq dataset used to identify highly abundant miRNAs that have abundant 5’isomiRs. (XLSX 3320 kb)
DOI: 10.6084/m9.figshare.c.3611438_d6.v1
title: Additional file 6: of Dynamic changes of tumor gene expression during repeated pressurized intraperitoneal aerosol chemotherapy (PIPAC) in women with peritoneal cancer

description: Raw data (clinical and qPCR data). (XLSX 90 kb)
DOI: 10.17863/cam.60208
title: Research data supporting 'Ribosome profiling reveals ribosome stalling on tryptophan codons and ribosome queuing upon oxidative stress in fission yeast'

description: Datasets accompanying ‘Ribosome profiling reveals ribosome stalling on tryptophan codons and ribosome queuing upon oxidative stress in fission yeast'. Dataset S1: counts from RNA-seq experiments under 5 stress conditions. Column 1: systematic gene names. Other columns follow this format: rna_genotype_stress_time_replicate Dataset S2: counts from ribo-seq experiments under 5 stress conditions. Column 1: systematic gene names. Other columns follow this format: rpf_genotype_stress_time_replicate Dataset S3: genes induced or repressed under 5 stress conditions from RNA-seq experiments. Comparisons are made stress vs. non-stressed. Column 1: systematic gene names. Column2 : Common gene name. Column 3: adjusted p-value. Column 4:log2 fold-change. Dataset S4: genes induced or repressed under unstressed and 5 stress conditions from RNA-seq experiments. Comparisons are made mutant vs. wild-type. Column 1: systematic gene names. Column2: Common gene name. Column 3: adjusted p-value. Column 4:log2 fold-change. Dataset S5: non-coding genes induced or repressed under 5 stress conditions from RNA-seq experiments. Comparisons are made stress vs. non-stressed. Column 1: systematic gene names. Column 2: Common gene name. Column 3: adjusted p-value. Column 4:log2 fold-change. Dataset S6: genes induced or repressed under 5 stress conditions from ribo-seq experiments (translational regulation). Comparisons are made stress vs. non-stressed. Column 1: systematic gene names. Column: Common gene name. Column 3: adjusted p-value. Column 4:log2 fold-change. Dataset S7: genes induced or repressed under 5 stress conditions from ribo-seq experiments (translational regulation). Comparisons are made mutant vs. wild-type. Column 1: systematic gene names. Column: Common gene name. Column 3: adjusted p-value. Column 4:log2 fold-change.
DOI: 10.6084/m9.figshare.c.3611465_d4.v1
title: Additional file 3: of The highly expressed 5’isomiR of hsa-miR-140-3p contributes to the tumor-suppressive effects of miR-140 by reducing breast cancer proliferation and migration

description: Relative abundance of 3’isomiRs of miR-140-3p and 5’isomiR-140-3p in the TCGA breast cancer patient cohort. The table lists the genomic coordinates, the notation of the isomiR and the average expression of each individual form (in rpm). (XLSX 9 kb)
DOI: 10.6084/m9.figshare.c.3611480_d5.v1
title: Additional file 4: Table S1. of Intra-individual changes in DNA methylation not mediated by cell-type composition are correlated with aging during childhood

description: EpiTYPER results. (XLSX 31Â kb)
DOI: 10.6084/m9.figshare.c.3611480_d6.v1
title: Additional file 6: Table S2. of Intra-individual changes in DNA methylation not mediated by cell-type composition are correlated with aging during childhood

description: EpiTYPER primers. (XLS 26Â kb)
DOI: 10.23668/psycharchives.4625
title: Dataset for: Efficacy of a Transdiagnostic Group Exercise Intervention for Outpatients with Various Psychiatric Disorders: A Randomized Controlled Trial

description: Dataset for: Zeibig, J. M., Seiffer, B., Sudeck, G., Rösel, I., Hautzinger, M., & Wolf, S. (2021). Transdiagnostic efficacy of a group exercise intervention for outpatients with heterogenous psychiatric disorders: a randomized controlled trial. BMC psychiatry, 21(1), 1-17. https://doi.org/10.1186/s12888-021-03307-x
description: Background - Exercise efficaciously reduces disorder-specific symptoms of psychiatric disorders. The current study aimed to examine the efficacy of a group exercise intervention on global symptom severity and disorder-specific symptoms among a mixed outpatient sample. Methods - Groups of inactive outpatients, waiting for psychotherapy, with depressive disorders, anxiety disorders, insomnia, and attention-deficit/hyperactivity disorders were randomized to a manualized 12-week exercise intervention, combining moderate to vigorous aerobic exercise with techniques for sustainable exercise behaviour change (n = 38, female = 71.1% (n = 27), Mage = 36.66), or a passive control group (n = 36, female = 75.0% (n = 27), Mage = 34.33). Primary outcomes were global symptom severity and disorder-specific symptoms, measured with the Symptom Checklist-90-Revised and Pittsburgh Sleep Quality Index pre- and post-treatment. Secondary outcome was the self-reported amount of exercise (Physical Activity, Exercise, and Sport Questionnaire), measured pre-treatment, intermediate-, and post-treatment. Intention-to-treat analyses were conducted using linear mixed models. Linear regressions were conducted to examine the effect of the change of exercise behaviour on the change of symptoms. Results - The intervention significantly improved global symptom severity (d = 0.77, p = .007), depression (d = 0.68, p = .015), anxiety (d = 0.87, p = .002), sleep quality (d = 0.88, p = .001), and increased the amount of exercise (d = 0.82, p &lt; .001), compared to the control group. Post-treatment differences between groups were significant for depression (d = 0.63, p = .031), sleep quality (d = 0.61, p = .035) and the amount of exercise (d = 1.45, p &lt; .001). Across both groups, the reduction of global symptom severity was significantly predicted by an increase of exercise (b = .35, p = .012). Conclusions - The exercise intervention showed transdiagnostic efficacy among a heterogeneous clinical sample in a realistic outpatient setting and led to sustained exercise behaviour change. Exercise may serve as an efficacious and feasible transdiagnostic treatment option improving the existing treatment gap within outpatient mental health care settings.
DOI: 10.17863/cam.7461
title: Data set accompanying the letter "A complete laboratory for transport studies of electron-hole interactions in GaAs/AlGaAs ambipolar bilayers"

description: Coulomb drag and magnetotransport data from the ambipolar GaAs/AlGaAs 2D bilayer devices described in the associated publication, measured by the authors at the Cavendish Laboratory, University of Cambridge UK, in the period October 2013 to April 2016. The data were measured at low temperature (90 mK to 4 K). The experimental methods are described in the associated publication.
DOI: 10.17863/cam.61991
title: Research data supporting "A multiscale analysis of early flower development in Arabidopsis provides an integrated view of molecular regulation and growth control"

description: Research data supporting the publication "A multiscale analysis of early flower development in Arabidopsis provides an integrated view of molecular regulation and growth control". The dataset contains timeseries of the development of 5 WT flowers and 3 timeseries of the development of lfy mutants.
DOI: 10.6084/m9.figshare.c.3611678_d7.v1
title: Additional file 7: of Polygenic sex determination in the cichlid fish Astatotilapia burtoni

description: SSR marker data at LG13 and LG5-14 for Family 19, with inferred Y haplotype and offspring sex genotypes. (XLSX 51 kb)
DOI: 10.6084/m9.figshare.c.3611678_d8.v1
title: Additional file 5: of Polygenic sex determination in the cichlid fish Astatotilapia burtoni

description: Expanded summary table of association of genetic markers with sex in families, including genetic markers used. (XLSX 53 kb)
DOI: 10.15468/dl.zjt64u
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "Country is one of (Spain, Portugal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (April, May, June, July)",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Sturnus vulgaris Linnaeus, 1758",
 "Year 2000-2024"
 ]
}

 The dataset includes 180 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037793-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.