cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ct5tt2
title: Occurrence Download

description: A dataset containing 534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Roepera iodocarpa (F.Muell.) Beier & Thulin",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 534 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013509-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/eq59x
title: MPI data for Cali

description: Data for Compute MPI (Multidimensional Poverty Index ) in Cali. Data was collected by Interadministrative Agreement No. 4132.010.32.1.376-2024, signed between the Universidad del Valle Foundation – FUV and the Administrative Department of Planning of the District Municipality of Santiago de Cali – DAPD.
DOI: 10.6084/m9.figshare.26196047.v1
title: <b>Datasets for "Differential root nutrient-acquisition strategies underlie biogeochemical niche separation between grasses and forbs across grassland biomes"</b>

description: <b>Datasets for "Differential root nutrient-acquisition strategies underlie biogeochemical niche separation between grasses and forbs across grassland biomes"</b>
DOI: 10.6084/m9.figshare.24998822.v1
title: Data base.savInjuries database

description: Muscle and Hamstring strain injuries in LaLiga
DOI: 10.6084/m9.figshare.29109650.v1
title: Interview Yuna.docx

description: In-depth interview transcription
DOI: 10.6084/m9.figshare.1557899.v1
title: Random Sampling of Plants Using a Transect

description: This data set includes information about 50 dandelion (<em>Taraxacum officinale)</em> plants found along a transect. The transect was placed in a grassland at York University, just west of Danby Woods on Monday, September 21st at 4PM.The weather on this day was sunny with a few clouds, and windy at times. This plant species was chosen for its abundance in this grassland, and its unique leaves. None of the plants had flowers, but the leafs were flat with ridges on the edge, dark green in colour, and a thick midrib. The transect was used for efficiency and to make it easier to collect many plants without needing to move to a different location. The transect was placed randomly north-to-south in the grassland, and plants were analysed starting at the northern most end. The plant was counted if it was within 50 cm (west or east) of the transect, and the distance was marked from the end of the transect. For each of the 50 specimens, the distance from the end of the transect, the height, the number of leaves, and the crowd rating were determined. Lab partners were Alex and Abera. This lab was completed for further understanding of how to use a transect and in which situations it is most useful. This lab also shows how random sampling techniques are used and how to avoid haphazard sampling.
DOI: 10.6084/m9.figshare.22559512.v1
title: Soil ECe 1984-2021 of croplands in drylands.zip

description: This dataset is a time series of soil salinity of cropland in drylands from 1984 to 2021. The salinity maps were predicted by a random forest model. This model combines extensive field soil sampling, satellite remote sensing, and other covariates with high accuracy (especially in regions such as Central Asia, the Middle East, and Xinjiang, China due to the inclusion of many in situ soil samples in these regions).
DOI: 10.6084/m9.figshare.1412626.v1
title: A meta-analysis of the mechanical properties of ice-templated ceramics and metals

description: Datasets and Jupyter (formerly IPython) notebook corresponding to the paper "A meta-analysis of the mechanical properties of ice-templated ceramics and metals" published in <em>Science and Technology of Advanced Materials</em>. (http://iopscience.iop.org/1468-6996/16/4/043501) See the Jupyter Notebook for additional explanations about the datasets.
DOI: 10.6084/m9.figshare.21524778.v1
title: Climatic seasonality challenges the conservation of microbial-driven deep-soil carbon accumulation

description: This dataset provides data on microbial residues (proxy by amino sugars) from a continental-scale standardized survey across three soil depths (topsoil: 0-30 cm, subsoil: 30-60 cm, deep soil: 60-100 cm) from 44 natural ecosystems (from 19.95°N to 48.05°N) covering a broad range of climate, vegetation and soil types. The dataset also contains other environmental variables related to geographic, climatic, vegetation and edaphic factors. This dataset includes data of 14 variables from the field survey, and data of 9 variables collected from publicly accessible data sources. Data from the filed survey: Longitude, Latitude, Elevation, Vg_type, SOC, TN, SOC:TN, pH, Amino sugars (AS), AS/SOC, Muramic acid (MurA), Fungal glucosamine (F_Glu), MurA/SOC, F_Glu/SOC Data collected from publicly accessible data sources: Climate, MAT, TS, TAR, MAP, PMAX, SP, NDVI, Clay Climate classification was obtained from the Updated world map of the Koppen-Geiger climate classification<sup>1</sup>. Climatic variables were collected from the WorldClim version 2 database<sup>2</sup> (https://www.worldclim.org; ~1 km resolution, 1970-2000). The normalized difference vegetation index (NDVI) was obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite (http://modis.gsfc.nasa.gov/; MOD13A1 v006, ~500 m resolution, 2000-2021, Yearly maximum NDVI)<sup>3</sup>. Soil clay content was collected from high resolution National Soil Information Grids of China<sup>4, 5</sup> (http://soil.geodata.cn; ~1 km resolution). For detailed information please see the article entitled "Climatic seasonality challenges the conservation of microbial-driven deep-soil carbon accumulation", and the references attached below. For copyright issues, please contact Shuhai Wen (shuhaiwen@126.com) and Yu-Rong Liu (yrliu@mail.hzau.edu.cn)
DOI: 10.6084/m9.figshare.28924700.v1
title: Items of the questionnaire (250503)

description: Workplace ostracism and cyberbullying are two prevalent negative behaviors. Most existing research examines workplace ostracism primarily from the victim's perspective, while studies on cyberbullying often focus on the perpetrator's viewpoint. Experiencing workplace ostracism frequently leads to feelings of frustration and low self-esteem, which can subsequently result in increased aggression. Compared to their male counterparts, female employees tend to be more sensitive, and this heightened sensitivity can have a detrimental impact on their interpersonal relationships in the face of workplace ostracism. Thus, it is essential to explore whether female employees who experience workplace ostracism transition from being "victims" to "perpetrators" in their behavioral choices.
DOI: 10.15131/shef.data.8313254.v1
title: Data for the paper: "The longitudinal effects of ovariectomy on the morphometric, densitometric and mechanical properties in the murine tibia: a comparison between two mouse strains"

description: Link to the data used in:<br>Roberts, Giorgi, Oliviero, Wang, Boudiffa,Dall’Ara<br>The longitudinal effects of ovariectomy on the morphometric, densitometric and mechanical properties in the murine tibia: a comparison between two mouse strains<br>Bone 2019.<br>The images and data are too large to be uploaded in ORDA, so please contact the senior author at: e.dallara@sheffield.ac.uk or the Project Management Office at: pmo@insigneo.org if you are interested in working on the files.<br>The whole dataset can be assessed at: <br>https://web-unidrive.sheffield.ac.uk/shared/multisim2/WP7/Mario_Giorgi/OVX_Study/<br>In this repository we have uploaded only the result file obtained from assessment of the microCT images.<br><br>
DOI: 10.6084/m9.figshare.28053263.v1
title: Whole genome sequencing study based on 84 pediatric B-cell precursor acute lymphoblastic leukemia

description: This whole genome sequencing (WGS) study is based on 84 pediatric B-cell precursor acute lymphoblastic leukemia (BCP ALL) patients diagnosed and treated at the Department of Pediatrics, Skåne University Hospital. The BCP ALL cases belong to the genetic subtypes high hyperdiploidy (HeH; <i>n</i> = 23), <i>ETV6</i>::<i>RUNX1</i> (<i>n</i> = 23), <i>TCF3</i>::<i>PBX1</i> (<i>n</i> = 9), and B-other (<i>n</i> = 29). The BCP ALL diagnostic and remission samples were sequenced at a “target sequencing dept” of 60x and 30x, respectively. The WGS data has been used to identify single nucleotide variants (SNVs) and insertions/deletions (indels) in coding and non-coding regions as well as structural variants (SVs), and copy number abnormalities (CNAs) targeting single genes or potentially causing fusion genes.<br><br>
DOI: 10.6084/m9.figshare.5788968.v1
title: Supplementary Material for: Survey Results of the Expert Meeting on Laparoscopic Surgery for Gallbladder Cancer and a Review of Relevant Literature

description: <b><i>Background:</i></b> Favorable outcomes of laparoscopic surgery for gallbladder cancer (GBC) have been reported; yet consensus on the indications and surgical techniques for laparoscopic surgery for GBC is lacking. <b><i>Objective:</i></b> To evaluate the current status of laparoscopic surgery for GBC by analyzing the results of a survey of experts and by reviewing the relevant published literature. <b><i>Methods:</i></b> Before an expert meeting was held on September 10, 2016 in Seoul, Korea, an international survey was undertaken of expert surgeons in the field of GBC surgery. <b><i>Results:</i></b> The majority of surgeons who responded agreed that laparoscopic surgery has an acceptable role for suspicious or early GBC, and that laparoscopic extended cholecystectomy has a value comparable to that of open surgery in selected patients with GBC. However, the selection criteria for laparoscopic surgery for overt GBC and the details of the surgical techniques varied among surgeons. <b><i>Conclusions:</i></b> This survey and literature review revealed that laparoscopic surgery for GBC is performed in highly selected cases. However, the favorable outcomes in the published reports and the positive view of experienced surgeons for this operative procedure suggest a high likelihood that laparoscopic surgery will be more frequently performed for GBC in the future.
DOI: 10.6084/m9.figshare.5001314.v1
title: Microbial Biogeography Study - Meyer et al. 2018 ISME-J

description: The V3 and V4 region of the 16S rRNA gene of the DNA and cDNA amplified using the primers 319F and 806R. Data are demultiplexed, quality-filtered, trimmed fasta files with primers removed. <br>OTU tables are from 2 community inference methods: DNA- based and RNA (cDNA)- based. OTU tables also differ by similarity threshold, i.e. 95, 97, 99, and 100% sequence similarity. None of these tables have been rarefied or normalized, thus differences in sequencing depth (i.e. sampling extent) across samples will vary. Naming convention is as follows: 'otu_table_rabi_uparse_{OTU sequence similarity threshold}_{community inference method}.txt'. Only OTU tables at 97% cutoff have taxonomic assignments. <br>'Rabi_geodist_matrix.txt' is a matrix of pairwise geographic distance (in meters) between samples. <br>'soil_chemical_data_pared.txt' is a table with soil chemical attributes as columns and samples as rows. <br>'Sampling_effort_DD.R' is an R function that performs a single rarefaction of a community matrix, calculates the slope of the distance-decay relationship of that community, then repeats iteratively.<br>Please cite: Meyer et al. 2018 ISME-J, DOI: 10.1038/s41396-018-0103-3
DOI: 10.15468/dl.uexfw7
title: Occurrence Download

description: A dataset containing 70997 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rosa rubiginosa L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 70997 records from 656 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013495-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uh9wqg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is KAZ",
 "TaxonKey is Trollius komarovii"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025088-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18418096
title: OCCUPATIONAL HAZARDS OF METALWORKING INDUSTRY WORKERS AND THEIR IMPACT ON ORAL CAVITY

description: The metalworking industry is characterized by a wide range of occupational hazards that pose significant risks to workers’ health. During the production process, employees are exposed to metal dust, fine aerosols, chemical vapors, lubricating and cooling fluids, noise, vibration, and elevated temperatures. Prolonged exposure to these harmful factors contributes to the development of occupational and work-related diseases affecting various organs and systems, including the oral cavity.
DOI: 10.5281/zenodo.18418097
title: OCCUPATIONAL HAZARDS OF METALWORKING INDUSTRY WORKERS AND THEIR IMPACT ON ORAL CAVITY

description: The metalworking industry is characterized by a wide range of occupational hazards that pose significant risks to workers’ health. During the production process, employees are exposed to metal dust, fine aerosols, chemical vapors, lubricating and cooling fluids, noise, vibration, and elevated temperatures. Prolonged exposure to these harmful factors contributes to the development of occupational and work-related diseases affecting various organs and systems, including the oral cavity.
DOI: 10.57841/casdc.0007121
title: 离散型两亲性寡聚聚氨酯数码纳米棒反应过程数据和测试表征数据
DOI: 10.5281/zenodo.18362288
title: TFBindFormer_dataset

description: This dataset contains the training, validation, and test data used for transcription factor (TF)–DNA binding prediction in the TFBindFormer framework. It integrates genomic DNA sequence bins with transcription factor protein information and curated metadata to support reproducible model training and evaluation.

DNA Sequence Data (dna_data/)

The dna_data directory contains one-hot–encoded genomic DNA sequence bins, organized into three mutually exclusive splits:



train/ – training data



train_oneHot.npy

train_oneHot.mat

train_labels.npy


val/ – validation data



valid_oneHot.npy

valid_oneHot.mat

valid_labels.npy


test/ – held-out test data



test_oneHot.npy

test_oneHot.mat



DNA sequences are encoded in one-hot format and stored in both NumPy (.npy) and MATLAB (.mat) formats to facilitate reuse across different computational environments. Label files indicate TF binding status for the corresponding DNA bins.

Transcription Factor Data (tf_data/)



tf_sequence/: Amino-acid FASTA sequences for transcription factors.

tf_structure/: Protein structure files (PDB format) for transcription factors.

3di_out/: Precomputed 3Di structural token sequences derived from TF structures.

tf_embeddings/: Precomputed TF embeddings generated from sequence and 3Di tokens.

metadata_tfbs.tsv: Metadata linking DNA samples with their corresponding transcription factors.


Intended Use

This dataset is intended for:



Training and evaluating TF–DNA binding prediction models

Studying protein-conditioned DNA binding specificity

Reproducing the experiments reported in the associated TFBindFormer study


The dataset is provided for research and academic use and supports full reproducibility of model training and evaluation.
DOI: 10.5281/zenodo.18362287
title: TFBindFormer_dataset

description: This dataset contains the training, validation, and test data used for transcription factor (TF)–DNA binding prediction in the TFBindFormer framework. It integrates genomic DNA sequence bins with transcription factor protein information and curated metadata to support reproducible model training and evaluation.

DNA Sequence Data (dna_data/)

The dna_data directory contains one-hot–encoded genomic DNA sequence bins, organized into three mutually exclusive splits:



train/ – training data



train_oneHot.npy

train_oneHot.mat

train_labels.npy


val/ – validation data



valid_oneHot.npy

valid_oneHot.mat

valid_labels.npy


test/ – held-out test data



test_oneHot.npy

test_oneHot.mat



DNA sequences are encoded in one-hot format and stored in both NumPy (.npy) and MATLAB (.mat) formats to facilitate reuse across different computational environments. Label files indicate TF binding status for the corresponding DNA bins.

Transcription Factor Data (tf_data/)



tf_sequence/: Amino-acid FASTA sequences for transcription factors.

tf_structure/: Protein structure files (PDB format) for transcription factors.

3di_out/: Precomputed 3Di structural token sequences derived from TF structures.

tf_embeddings/: Precomputed TF embeddings generated from sequence and 3Di tokens.

metadata_tfbs.tsv: Metadata linking DNA samples with their corresponding transcription factors.


Intended Use

This dataset is intended for:



Training and evaluating TF–DNA binding prediction models

Studying protein-conditioned DNA binding specificity

Reproducing the experiments reported in the associated TFBindFormer study


The dataset is provided for research and academic use and supports full reproducibility of model training and evaluation.
DOI: 10.15468/dl.m7xu25
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gorgorhynchoides valiyathurae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000313-260129131611470/datasets/export for details.
DOI: 10.15468/dl.vqxjku
title: Occurrence Download

description: A dataset containing 7828 records in GBIF matching the query:
SELECT
 '598' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 66.79314043790278
 AND decimalLatitude &lt;= 72.77152049497572
 AND decimalLongitude &gt;= -172.79924320520232
 AND decimalLongitude &lt;= -134.70058844448118
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 7828 records were derived from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000299-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vesw8
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pilea longicaulis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 30 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000315-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dc7wza
title: Occurrence Download

description: A dataset containing 3599 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hirtella glandulosa"
 ]
}

 The dataset includes 3599 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000317-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/060-alg-zqn
title: Allamanda cathartica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.unmjsu
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sander lucioperca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1905",
 "Year is less than or equal to 1909"
 ]
}

 The dataset includes 183 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000319-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18417953
title: ProVerif Framework for Internet Voting (Draft)
DOI: 10.5281/zenodo.18417954
title: ProVerif Framework for Internet Voting (Draft)
DOI: 10.15468/dl.xnz65z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paradentitruncus longireceptaculis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000320-260129131611470/datasets/export for details.
DOI: 10.5281/zenodo.18418141
title: ORAL HEALTH STATUS OF WORKERS IN THE METALWORKING INDUSTRY AND PREVENTIVE MEASURES

description: The metalworking industry is one of the sectors characterized by significant exposure to harmful occupational factors. Workers in this field are exposed to metal dust, aerosols, vapors of lubricating and cooling fluids, chemical substances, high temperatures, and vibration during their professional activities. These factors negatively affect not only general health but also the organs and tissues of the oral cavity.
DOI: 10.5281/zenodo.18418142
title: ORAL HEALTH STATUS OF WORKERS IN THE METALWORKING INDUSTRY AND PREVENTIVE MEASURES

description: The metalworking industry is one of the sectors characterized by significant exposure to harmful occupational factors. Workers in this field are exposed to metal dust, aerosols, vapors of lubricating and cooling fluids, chemical substances, high temperatures, and vibration during their professional activities. These factors negatively affect not only general health but also the organs and tissues of the oral cavity.
DOI: 10.15468/dl.mpc78m
title: Occurrence Download

description: A dataset containing 256099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34 34, 34 75, -15 75, -15 34, 34 34))",
 "SpeciesKey is one of (Bombus pratorum, Bombus wurflenii, Bombus ruderatus, Bombus vestalis, Bombus campestris, Bombus magnus, Bombus pomorum, Bombus schrencki, Bombus norvegicus, Bombus semenoviellus, Bombus balteatus, Bombus cullumanus, Bombus reinigiellus, Bombus brodmannicus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 256099 records from 651 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000230-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.