cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y7495c
title: Occurrence Download

description: A dataset containing 174897 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany"
 ]
}

 The dataset includes 174897 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035674-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7kpxwu
title: Occurrence Download

description: A dataset containing 3886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Parus cinereus Vieillot, 1818"
 ]
}

 The dataset includes 3886 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035684-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10959789
title: Data from: Sex-specific recombination landscape in a species with holocentric chromosomes

description: Male and female meiosis typically exhibit significant differences in crossover locations along chromosomes. It has been suggested that higher recombination rates at chromosome centers in females counteract centromere-associated meiotic drivers, increasing their chances of segregating into the oocyte rather than to the non-viable polar bodies. Our research, employing the first sex-specific recombination map for an organism lacking defined centromeres revealed parallel recombination landscapes across the sexes, supporting the meiotic drive hypothesis.
description: File description:

pedigree.txt



The pedigree has been formatted according to Lep-MAP3 format


sample_data.txt



File containing description of samples

column 1: family

column 2: sample name

column 3: generation

column 4: sex

column 5: male morph 


chromosome_lengths.txt



column 1: chromosome name

column 2: chromosome length [bp]


Rhrob_map.txt



column 1: chromosome

column 2: physical position of the marker on the chromosome [bp]

column 3: genetic position of the marker [cM]

column 4: sex (male map/female map) 


rhizoglyphusRobini_sigExpressed_geneProportion_2Mb



column 1: chromosome 

column 2: window_start 

column 3: window_end 

column 4: n_genes 

column 5: gene_coverage 

column 6: window_size 

column 7: gene_proportion


rhizoglyphusRobini_anchored_agat_sigExpressed_geneProportion_50kb.txt



column 1: chromosome 

column 2: window_start 

column 3: window_end 

column 4: n_genes 

column 5: gene_coverage 

column 6: window_size 

column 7: gene_proportion


rhizoglyphusRobini_repeatProportion_50kb.txt



column 1: chromosome 

column 2: window start 

column 3: window end 

column 4: nuber of repeats 

column 5: number of bases covered by repeats 

column 6: window size 

column 7: proportion of window covered by repeats


rhizoglyphusRobini_repeatProportion_2Mb.txt



column 1: chromosome 

column 2: window start 

column 3: window end 

column 4: nuber of repeats 

column 5: number of bases covered by repeats 

column 6: window size 

column 7: proportion of window covered by repeats


rhizoglyphusRobini.Repeats.bed



This is a repeat annotation file in the standard .bed format, outputted by EarlGrey


all_chr_CO_location.txt



column 1: individual name

column 2: parent which recombined

column 3: chromosome

column 4: position on the chromosome where crossover has been observed


Rhrob.agp (AGP format description)



column 1: object 

column 2: object_beg 

column 3: object_end 

column 4: part_number 

column 5: component_type 

column 6: component_id 

column 7: component_beg 

column 8: component_end 

column 9: orientation 

column 10: component_length
DOI: 10.5281/zenodo.10959790
title: Data from: Sex-specific recombination landscape in a species with holocentric chromosomes

description: Male and female meiosis typically exhibit significant differences in crossover locations along chromosomes. It has been suggested that higher recombination rates at chromosome centers in females counteract centromere-associated meiotic drivers, increasing their chances of segregating into the oocyte rather than to the non-viable polar bodies. Our research, employing the first sex-specific recombination map for an organism lacking defined centromeres revealed parallel recombination landscapes across the sexes, supporting the meiotic drive hypothesis.
description: File description:

chromosome_lengths.txt







column 1: chromosome name

column 2: chromosome length [bp]




Rhrob_genetic_map.txt



column 1: chromosome name

column 2: physical position of the marker on the chromosome [bp]

column 3: genetic position of the marker [cM]

column 4: sex (male map/female map/sex-averaged map) 


genome_2Mb_windows.txt



column 1: chromosome name

column 2: window start [bp]

column 3: window end [bp]


genome_50kb_windows.txt



column 1: chromosome name

column 2: window start [bp]

column 3: window end [bp]


AMU_Rhrob_2024.gff3 



This is a genome annotation file in the standard .gff3 format (GFF3 File Format (ensembl.org))


AMU_Rhrob_2024_RepeatModeller.gff



This is a repeat annotation file in the standard .gff format GFF/GTF File Format (ensembl.org) 


GC_2Mb_windows_renamed_sorted.gff



column 1: chromosome name

column 2: window start [bp]

column 3: window end [bp]

column 4: AT content [%]

column 5: GC content

column 6: Number of As observed

column 7: Number of Cs observed

column 8: Number of Gs observed

column 9: Number of Ts observed

column 10: Number of Ns observed

column 11: Number of other bases observed

column 12: The length of the explored sequence/interval


GC_50kb_windows.txt



column 1: chromosome name

column 2: window start [bp]

column 3: window end [bp]

column 4: AT content [%]

column 5: GC content

column 6: Number of As observed

column 7: Number of Cs observed

column 8: Number of Gs observed

column 9: Number of Ts observed

column 10: Number of Ns observed

column 11: Number of other bases observed

column 12: The length of the explored sequence/interval


all_chr_CO_location.txt



column 1: individual name

column 2: parent which recombined

column 3: chromosome

column 4: position on the chromosome where crossover has been observed
DOI: 10.5281/zenodo.15638482
title: Data from: Sex-specific recombination landscape in a species with holocentric chromosomes

description: Male and female meiosis typically exhibit significant differences in crossover locations along chromosomes. It has been suggested that higher recombination rates at chromosome centers in females counteract centromere-associated meiotic drivers, increasing their chances of segregating into the oocyte rather than to the non-viable polar bodies. Our research, employing the first sex-specific recombination map for an organism lacking defined centromeres revealed parallel recombination landscapes across the sexes, supporting the meiotic drive hypothesis.
description: File description:

pedigree.txt



The pedigree has been formatted according to Lep-MAP3 format


sample_data.txt



File containing description of samples

column 1: family

column 2: sample name

column 3: generation

column 4: sex

column 5: male morph 


chromosome_lengths.txt



column 1: chromosome name

column 2: chromosome length [bp]


Rhrob_map.txt



column 1: chromosome

column 2: physical position of the marker on the chromosome [bp]

column 3: genetic position of the marker [cM]

column 4: sex (male map/female map) 


rhizoglyphusRobini_sigExpressed_geneProportion_2Mb



column 1: chromosome 

column 2: window_start 

column 3: window_end 

column 4: n_genes 

column 5: gene_coverage 

column 6: window_size 

column 7: gene_proportion


rhizoglyphusRobini_anchored_agat_sigExpressed_geneProportion_50kb.txt



column 1: chromosome 

column 2: window_start 

column 3: window_end 

column 4: n_genes 

column 5: gene_coverage 

column 6: window_size 

column 7: gene_proportion


rhizoglyphusRobini_repeatProportion_50kb.txt



column 1: chromosome 

column 2: window start 

column 3: window end 

column 4: nuber of repeats 

column 5: number of bases covered by repeats 

column 6: window size 

column 7: proportion of window covered by repeats


rhizoglyphusRobini_repeatProportion_2Mb.txt



column 1: chromosome 

column 2: window start 

column 3: window end 

column 4: nuber of repeats 

column 5: number of bases covered by repeats 

column 6: window size 

column 7: proportion of window covered by repeats


rhizoglyphusRobini.Repeats.bed



This is a repeat annotation file in the standard .bed format, outputted by EarlGrey


all_chr_CO_location.txt



column 1: individual name

column 2: parent which recombined

column 3: chromosome

column 4: position on the chromosome where crossover has been observed


Rhrob.agp (AGP format description)



column 1: object 

column 2: object_beg 

column 3: object_end 

column 4: part_number 

column 5: component_type 

column 6: component_id 

column 7: component_beg 

column 8: component_end 

column 9: orientation 

column 10: component_length
DOI: 10.15468/dl.zv6mxp
title: Occurrence Download

description: A dataset containing 2411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Parus cinereus Vieillot, 1818"
 ]
}

 The dataset includes 2411 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035685-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5525/gla.researchdata.1982
title: Right size, right place: scale-dependency of managed realignment to mitigate flood hazards in urban estuaries

description: The data is organized into six main folders: Flood_extent, Intervention_extent, Longitudinal_extent, MHWS_extent, Tidal_prism and R_Code. Flood_extent and Longitudinal_extent folders refer to flood water elevation extent in raster files and longitudinal cross section along the Clyde estuary of this flood water elevation in tabulated form produced from the TUFLOW flood numerical model. On the other hand, Intervention_extent folder contains shapefiles needed to accommodate managed realignments in the TUFLOW model. MHWS_extent folder contains shapefile of mean high-water spring (MHWS) extent in the Clyde estuary. Tidal_prism folder comprises of geomorphic change detection (GCD) results produced using GCD 7 Standalone software. GCD is used to quantify the volume of water between high and low tide (i.e. subtraction of water elevation between high and low tide). R_Code folder contains R language code to produce figure 2-4 used in the paper and to analyse datasets available here. Raster and shapefiles could be opened using standard GIS software such as ArcGIS Pro or QGIS, while tabulated data could be opened using Microsoft Excel. On the other hand, GCD files could be opened using GCD 7 Standalone software available to be downloaded for free from https://gcd.riverscapes.net/Download/ while the R Code could be open using text editor and run in the RStudio available here https://cran.rstudio.com/.
DOI: 10.15468/dl.tnzhsw
title: Occurrence Download

description: A dataset containing 6290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocidura suaveolens (Pallas, 1811)"
 ]
}

 The dataset includes 6290 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035686-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15638654
title: When the second language attracts but the first does not: A large-scale study of number agreement attraction in Czech learners of English (data + RMarkdown scripts)

description: Dataset and experimental scripts (PC Ibex Farm) used in the paper Chromý, J., Lacina, R., Brand, J., & Vanek, N. (2025). When the second language attracts but the first does not: A large-scale study of number agreement attraction in Czech learners of English. Bilingualism: Language and Cognition. https://doi.org/10.1017/S1366728925100126
DOI: 10.5281/zenodo.15638655
title: When the second language attracts but the first does not: A large-scale study of number agreement attraction in Czech learners of English (data + RMarkdown scripts)

description: Dataset and experimental scripts (PC Ibex Farm) used in the paper Chromý, J., Lacina, R., Brand, J., & Vanek, N. (2025). When the second language attracts but the first does not: A large-scale study of number agreement attraction in Czech learners of English. Bilingualism: Language and Cognition. https://doi.org/10.1017/S1366728925100126
DOI: 10.5281/zenodo.15638547
title: Instagram Comment Data From Lokananta Cultural Heritage For Sentiment Analysis

description: This dataset contains Instagram comments related to Lokananta Indonesia, collected manually from public posts. The comments were gathered for research purposes in sentiment analysis, focusing on how social media users respond to cultural heritage content. Each comment is labeled with one of three sentiment categories: positive, neutral, or negative. All personal identifiers have been removed to protect user privacy. The dataset is intended to support studies in natural language processing (NLP), cultural promotion, and social media analysis.
DOI: 10.5281/zenodo.15638548
title: Instagram Comment Data From Lokananta Cultural Heritage For Sentiment Analysis

description: This dataset contains Instagram comments related to Lokananta Indonesia, collected manually from public posts. The comments were gathered for research purposes in sentiment analysis, focusing on how social media users respond to cultural heritage content. Each comment is labeled with one of three sentiment categories: positive, neutral, or negative. All personal identifiers have been removed to protect user privacy. The dataset is intended to support studies in natural language processing (NLP), cultural promotion, and social media analysis.
DOI: 10.15468/dl.2mxewc
title: Occurrence Download

description: A dataset containing 174897 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany"
 ]
}

 The dataset includes 174897 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035680-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfwmvd
title: Occurrence Download

description: A dataset containing 36870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.11_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 36870 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004270-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/3b8cf098-c2ce-49b1-8e36-74b37872aaa6.v1
title: Data underlying the publication: Structure-preserving contrastive learning for spatial time series

description: This dataset includes the resulting data of the research: Structure-preserving contrastive learning for spatial time series. It includes precomputed distance matrices, logs and results from hyperparameter grid search, trained encoder checkpoints, as well as evaluation metrics for UEA classification and traffic prediction tasks. The research is experimental and focuses on enhancing self-supervised contrastive learning by preserving fine‐grained spatio-temporal similarity structures. The proposed methods are applied to public UEA archive datasets of multivariate time series and specialised macro- and micro-traffic datasets. The scripts that produced these data are open-sourced at https://github.com/Yiru-Jiao/SPCLT
DOI: 10.15468/dl.5exkhr
title: Occurrence Download

description: A dataset containing 1126724 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ArtenFinder"
 ]
}

 The dataset includes 1126724 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035681-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.539av5
title: Occurrence Download

description: A dataset containing 186708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cyrtomium fortunei J.Sm., Abies nephrolepis (Trautv. ex Maxim.) Maxim., Ephedra equisetina Bunge, Ephedra monosperma J.G.Gmel. ex C.A.Mey., Ephedra sinica Stapf, Aralia L., Eleutherococcus senticosus (Rupr. & Maxim.) Maxim., Kalopanax septemlobus (Thunb.) Koidz., Lycoris aurea (L'Hér.) Herb., Orchidaceae, Opisthopappus C.Shih, Codonopsis Wall., Platycodon grandiflorus (Jacq.) A.DC., Schisandra Michx., Mertensia sibirica (L.) G.Don, Ceratostigma plumbaginoides Bunge, Euonymus sanguineus var. paedidus L.M.Wang, Euonymus microcarpus (Oliv. ex Loes.) Sprague, Alangium chinense (Lour.) Harms, Cornus kousa subsp. chinensis (Osborn) Q.Y.Xiang, Cornus officinalis Siebold & Zucc., Staphylea bumalda DC., Staphylea holocarpa Hemsl., Dioscorea polystachya Turcz., Kolkwitzia amabilis Graebn., Lonicera fragrantissima Lindl. & Paxton, Weigela florida (Bunge) A.DC., Actinidia Lindl., Pyrola calliantha Andres, Pyrola shanxiensis Y.L.Chou & R.C.Zhou, Rhododendron mucronulatum Turcz., Primula saxatilis Kom., Polygala japonica Houtt., Juglans mandshurica Maxim., Ostrya japonica Sarg., Quercus dolicholepis A.Camus, Trachelospermum jasminoides (Lindl.) Lem., Dorcoceras hygrometricum Bunge, Callicarpa bodinieri H.Lév., Callicarpa membranacea C.H.Chang, Chionanthus retusus Lindl. & Paxton, Ligustrum leucanthum (S.Moore) P.S.Green, Syringa pinnatifolia Hemsl., Syringa villosa Vahl, Scrophularia modesta Kitag., Scrophularia taihangshanensis C.S.Zhu & H.W.Yang, Litsea Lam., Disporum Salisb., Clintonia udensis Trautv. & C.A.Mey., Gagea tibetica (Baker ex Oliv.) Sameer Patil, Acalypha acmophylla Hemsl., Idesia polycarpa Maxim., Populus purdomii Rehder, Meliosma cuneifolia Franch., Meliosma veitchiorum Hemsl., Euptelea pleiosperma Hook.fil. & Thomson, Corydalis caudata (Lam.) Pers., Corydalis fangshanensis W.T.Wang, Corydalis hsiaowutaishanensis T.P.Wang, Aconitum ningwuense W.T.Wang, Aconitum smithii Ulbr. ex Hand.-Mazz., Callianthemum farreri W.W.Sm., Helleborus thibetanus Franch., Pteroceltis tatarinowii Maxim., Ficus heteromorpha Hemsl., Maclura tricuspidata Carrière, Hovenia dulcis Thunb., Prunus buergeriana Miq., Prunus obtusata Koehne, Sorbus L., Taihangia rupestris var. ciliata T.T.Yu & C.L.Li, Ulmus lamellosa Z.Wang & S.L.Chang, Pistacia chinensis Bunge, Toxicodendron vernicifluum (Stokes) F.A.Barkley, Dictamnus dasycarpus Turcz., Zanthoxylum armatum DC., Acer griseum (Franch.) Pax, Xanthoceras sorbifolium (A.Braun) Holub, Sinowilsonia henryi Hemsl., Physochlaina infundibularis Kuang)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 186708 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035677-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ywy8a
title: Occurrence Download

description: A dataset containing 13881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.18_1, CHN.10_1, CHN.27_1, CHN.23_1, CHN.24_1, CHN.6_1, CHN.31_1, CHN.15_1, CHN.4_1, CHN.7_1, CHN.9_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Antigone canadensis (Linnaeus, 1758), Leucogeranus leucogeranus (Pallas, 1773), Antigone vipio (Pallas, 1811), Grus japonensis (Statius Muller, 1776), Grus grus (Linnaeus, 1758), Grus monacha Temminck, 1835, Haematopus ostralegus Linnaeus, 1758, Himantopus himantopus (Linnaeus, 1758), Recurvirostra avosetta Linnaeus, 1758, Pluvialis squatarola (Linnaeus, 1758), Charadrius hiaticula Linnaeus, 1758, Charadrius dubius Scopoli, 1786, Vanellus vanellus (Linnaeus, 1758), Charadrius placidus J.E.Gray & G.R.Gray, 1863, Vanellus cinereus (Blyth, 1842), Anarhynchus veredus (Gould, 1848), Anarhynchus leschenaultii, Anarhynchus alexandrinus, Pluvialis fulva (J.F.Gmelin, 1789))",
 "Year 2020-2025"
 ]
}

 The dataset includes 13881 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035689-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4nrb6
title: Occurrence Download

description: A dataset containing 24786 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Nijmegen Natural History Museum (NL) - Entomological Collection"
 ]
}

 The dataset includes 24786 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035690-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15638531
title: A City-scale and Harmonized Dataset for Global Electric Vehicle Charging Demand Analysis
title: CHARGED
DOI: 10.5281/zenodo.15342858
title: Data from Uncovering diversity and abundance patterns of CO2-fixing microorganisms in peatlands

description: Microorganisms play a crucial role in the carbon (C) dynamics of peatlands— a major terrestrial C reservoir. Because of their role in C emissions, heterotrophic microorganisms have attracted much attention over the past decades. CO2-fixing microorganisms (CFMs) remained largely overlooked, while they could attenuate C emissions. Here we use metabarcoding and digital droplet PCR to survey microorganisms that potentially fix CO2 in different peatlands. We demonstrate that CFMs are abundant and diverse in peatlands, with on average 1,021 CFMs contributing up to 40% of the total bacterial abundance. Using a joint-species distribution model, we identified a core and a specific CFM microbiome, the later being influenced by temperature and nutrients. Our findings highlight that ASV richness and community structure were direct drivers of abundance, while environmental parameters were indirect drivers. These results provide the basis for a better understanding of the role of CFMs in peatland C cycle inputs.

This repository only provides the Data that is needed for the repository on GitHub: https://github.com/vjassey/Diversity_CFMs_peatlands.