cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/1410045901-eng
title: Labour force characteristics by census metropolitan area, three-month moving average, seasonally adjusted

description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by census metropolitan area. Data are also available for the standard error of the estimate, the standard error of the month-to-month change, and the standard error of the year-over-year change.
DOI: 10.15468/dl.erx5hp
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.38282 -17.05226,-70.40207 -17.05226,-70.40207 -14.88237,-74.38282 -14.88237,-74.38282 -17.05226))",
 "HasGeospatialIssue is false",
 "TaxonKey is Dives warczewiczi (Cabanis, 1861)",
 "Year 2021-2025"
 ]
}

 The dataset includes 89 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010253-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14775729
title: DATASET: Statistical Analysis of the Dynamic Behavior of Individual Discharges During the Ignition and Continuous Phases of Contact Glow Discharge Electrolysis

description: This project contains all the data shown in the figures of the manuscript (and the supporting information) entitled:'Statistical Analysis of the Dynamic Behavior of Individual Discharges During the Ignition and Continuous Phases of Contact Glow Discharge Electrolysis' (DOI: 10.26434/chemrxiv-2025-2v2p7)

The data shown in the Figures of the main text, the supporting information, and the supporting information two can be found in their respective folder, where each subfolder contains the respective data for each figure.

The folder data evaluation contains the in-house developed python script used for evaluation as a jupyter notebook as well as html. The evaluation is documented step-by-step using the original data set that was used for the figures in the main text and the SI. The complete videos can be found in the raw_data folder within.
DOI: 10.5281/zenodo.14775730
title: DATASET: Statistical Analysis of the Dynamic Behavior of Individual Discharges During the Ignition and Continuous Phases of Contact Glow Discharge Electrolysis

description: This project contains all the data shown in the figures of the manuscript (and the supporting information) entitled:'Statistical Analysis of the Dynamic Behavior of Individual Discharges During the Ignition and Continuous Phases of Contact Glow Discharge Electrolysis' (DOI: 10.26434/chemrxiv-2025-2v2p7)

The data shown in the Figures of the main text, the supporting information, and the supporting information two can be found in their respective folder, where each subfolder contains the respective data for each figure.

The folder data evaluation contains the in-house developed python script used for evaluation as a jupyter notebook as well as html. The evaluation is documented step-by-step using the original data set that was used for the figures in the main text and the SI. The complete videos can be found in the raw_data folder within.
DOI: 10.5281/zenodo.14794991
title: PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks

description: Current protein language models (pLMs) accurately encode protein properties but have yet to represent post-translational modifications (PTMs), which are critical for proteomic diversity and influence protein structure, function, and interactions. To address this gap, we develop PTM-Mamba, a PTM-aware pLM that integrates PTM tokens using bidirectional Mamba blocks fused with ESM-2 pLM embeddings via a novel gating mechanism. PTM-Mamba uniquely models both wild-type and PTM sequences, enabling downstream tasks such as disease association and druggability prediction, PTM effect prediction on protein-protein interactions, and zero-shot PTM discovery. In total, our work establishes PTM-Mamba as a foundational tool for PTM-aware protein modeling and design.
DOI: 10.5281/zenodo.14794992
title: PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks

description: Current protein language models (pLMs) accurately encode protein properties but have yet to represent post-translational modifications (PTMs), which are critical for proteomic diversity and influence protein structure, function, and interactions. To address this gap, we develop PTM-Mamba, a PTM-aware pLM that integrates PTM tokens using bidirectional Mamba blocks fused with ESM-2 pLM embeddings via a novel gating mechanism. PTM-Mamba uniquely models both wild-type and PTM sequences, enabling downstream tasks such as disease association and druggability prediction, PTM effect prediction on protein-protein interactions, and zero-shot PTM discovery. In total, our work establishes PTM-Mamba as a foundational tool for PTM-aware protein modeling and design.
DOI: 10.5281/zenodo.13255198
title: FOR-species20K dataset

description: Description

Data for benchmarking tree species classification from proximally-sensed laser scanning data.

Data split and usage

The data is split into:



Development data (dev): these includes 90% of the trees in the dataset and consists of individual tree point clouds (*.laz) named according to the treeID column available in the tree_metadata_dev.csv file, from which tree_species labels are available. These data are meant to be used for model development and can thus be further split into training and validation datasets.

Test data (test): these are 10% of the trees (balanced sample) and include individual tree point clouds (*.laz) but, for benchmarking purposes, the species labels are witheld for benchmarking purposes. Thus to make use of the test data the users should predict species on the test trees, and output a table (.csv file) with a row per predicted tree and two columns (treeID and predicted_species). This table can then be used to create a new submission in the FOR-species20K Codabench benchmarking platform and obtain the evaluation metrics corresponding to the test data.


Cite

Any scientific publication using the data should cite the following paper:

Puliti, S., Lines, E., Müllerová, J., Frey, J., Schindler, Z., Straker, A., Allen, M.J., Winiwarter, L., Rehush, N., Hristova, H., Murray, B., Calders, K., Terryn, L., Coops, N., Höfle, B., Krůček, M., Krokm, G., Král, K., Luck, L., Levick, S.R., Missarov, A., Mokroš, M., Owen, H., Stereńczak, K., Pitkänen, T.P., Puletti, N., Saarinen, N., Hopkinson, C., Torresan, C., Tomelleri, E., Weiser, H., Junttila, S., and Astrup, R. (2025) Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. Methods in Ecology and Evolution, 00,1–18. Available here
DOI: 10.15468/dl.fhd3fv
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.59643 -17.09511,-70.59388 -17.09511,-70.59388 -15.2574,-74.59643 -15.2574,-74.59643 -17.09511))",
 "HasGeospatialIssue is false",
 "TaxonKey is Molothrus bonariensis (Gmelin, 1789)",
 "Year 2021-2025"
 ]
}

 The dataset includes 221 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010254-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhtdpd
title: Occurrence Download

description: A dataset containing 3706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.5195 9.44601,-73.24028 9.44601,-73.24028 9.63435,-73.5195 9.63435,-73.5195 9.44601))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3706 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010255-250127130748423/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.28334351
title: questionaire

description: With massive amounts of data have been generated, the Chief Data Officer (CDO) was introduced into government around the world. Previous studies on the CDO were limited and mainly focused on responsibilities of the CDO. But there has been little empirical research on the determinant factors of CDO adoption in government. To fill this gap, based on the topic model, this study aims to investigate factors that affect adoption of the CDO in government. A survey study was conducted to empirically test the model. The data were collected from 277 government employees in China government organizations. The collected data were analyzed quantitatively to answer five hypotheses using structural equation model. The findings suggest that (1) data exploitation, data sharing and data management significantly influence data dividends and (2) Data dividends and institutional pressures are important predictors of adoption intention of the CDO. These results indicate that digital dividends representing economic interests have a more motivating effect than institutional pressures, and emphasize the importance of data related work for data dividends.
DOI: 10.5281/zenodo.14767528
title: Data for "Postselection-free experimental observation of the measurement-induced phase transition in circuits with universal gates"

description: This repository contains code and supporting data for the paper "Postselection-free experimental observation of the measurement-induced phase transition in circuits with universal gates". Please see the README.md file for detailed instructions regarding the data analysis pipeline.
DOI: 10.15468/dl.mh845a
title: Occurrence Download

description: A dataset containing 4725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mesembryanthemum cordifolium L.fil., Mesembryanthemum tetrasepalum Regel, Mesembryanthemum cordifolium subsp. variegatum Hovey, Tetracoilanthus cordifolius (L.fil.) Rappa & Camarrone, Aptenia cordifolia (L.fil.) Schwantes, Litocarpus cordifolius (L.fil.) L.Bolus, Ludolfia cordifolius (L.f.) L.Bolus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 4725 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010256-250127130748423/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.28334453
title: SANGAMITRA.xlsx

description: The data is an outcome of our study <b>Leading with Fairness and Vision: How Transformational Leadership Inspire Positive Workplace Behaviors</b>. This empirical research assessed the relationship between transformational leadership and organizational citizenship behavior with psychological capital as a pathway. Results were presented in research paper
DOI: 10.25318/1410045901-fra
title: Caractéristiques de la population active selon la région métropolitaine de recensement, moyennes mobiles de trois mois, données désaisonnalisées

description: Nombre de personnes faisant partie de la population active (emploi et chômage), taux de chômage, taux d'activité et taux d'emploi selon la région métropolitaine de recensement. Les données sont aussi disponible pour l'erreur-type de l'estimation, du changement mensuel et annuel.
DOI: 10.15468/dl.j5z4wj
title: Occurrence Download

description: A dataset containing 2611 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.0338 43.92363,11.0338 43.92363,11.0581 43.84015,11.11587 43.83409,11.14976 43.90122,11.0338 43.92363))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2611 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010257-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfuzdf
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.61966 -17.25486,-70.34262 -17.25486,-70.34262 -15.54835,-73.61966 -15.54835,-73.61966 -17.25486))",
 "HasGeospatialIssue is false",
 "TaxonKey is Leistes bellicosus (de Filippi, 1847)",
 "Year 2021-2025"
 ]
}

 The dataset includes 511 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010258-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttd237
title: Occurrence Download

description: A dataset containing 1287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "Continent is one of (North America, South America)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, VERTEBRADOS DE VALOR ESPECIAL EN ÁREAS PROTEGIDAS DE LA ARGENTINA, Avistajes de espcies de valor especial en áreas protegidas del noreste de Argentina, NABU|naturgucker, Rapid Assessment Program (RAP) Biodiversity Survey Database, Roadkill)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Blastocerus dichotomus (Illiger, 1815)",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 1287 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010259-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8308127
title: Compilation of 17 anthropogenic pressure gradients and 18 benthic indicators in the Baltic Sea, Atlantic Ocean and Mediterranean Sea

description: Compilation of 17 benthic datasets that sampled benthic ecosystems over gradients of commercial bottom trawling intensity (n=14), eutrophication (n=1), oxygen depletion (n=1) and pollution (n=1) (Table 1). Compilation of 18 benthic indicators that were calculated for each gradient dataset. The indicators estimated were community biomass, abundance, richness, relative Margalef diversity, Shannon index, Simpson index, Inverse Simpson, AZTI’s Marine Biotic Index (AMBI), Multivariate AMBI (M-AMBI), BENTIX Biotic Index (BENTIX), Danish Quality Index (DKI), Trawling Disturbance Index (TDI), Modified TDI (mTDI), Modified vulnerability index (mT), Median longevity (Lm), Partial TDI (pTDI), Sentinels of Seabed (SoS), Long-lived fraction (Lf). The dataset has information on: 1) indicator outputs per sampling station; 2) combined data tables with gradient, station, and species information; 3) individual gradient information with replicate samples and the environmental variables reported in the original study. Table 1. Overview of anthropogenic gradient datasets Location Sampling method Pressure gradient Adriatic Sea – Italian EEZ (sand) Rapido trawl Bottom trawling Adriatic Sea – Italian EEZ (mud) Rapido trawl Bottom trawling North Sea - Dutch EEZ Box core Bottom trawling North Sea - Dogger Bank Hamon grab Bottom trawling North Sea - Fladen Ground Day grab Bottom trawling North Sea - Long Forties Hamon grab Bottom trawling North Sea - Silver Pit Box core Bottom trawling North Sea – Thames Box core Bottom trawling Northern Iberian Coast (sand) Otter trawl Bottom trawling Northern Iberian Coast (mud) Otter trawl Bottom trawling Baltic Sea - Gotland van Veen grab Bottom trawling Baltic Sea – Polish EEZ Box core Bottom trawling NW Atlantic - Flemish Cap Otter trawl Bottom trawling Irish Sea - Sellafield Day grab Bottom trawling Gulf of Finland van Veen grab Oxygen depletion Saronikos Gulf Box core Eutrophication Vigo Estuary Box core Contaminants
DOI: 10.5281/zenodo.10848569
title: Dataset related to article: CORRELATION BETWEEN AUTISTIC TRAITS AND BRAIN FUNCTIONAL CONNECTIVITY IN PRESCHOOLERS WITH AUTISM SPECTRUM DISORDER: A RESTING STATE MEG STUDY

description: Raw data and connectivity matrices about meg signal in preschoolers with asd
DOI: 10.5281/zenodo.10848570
title: Dataset related to article: CORRELATION BETWEEN AUTISTIC TRAITS AND BRAIN FUNCTIONAL CONNECTIVITY IN PRESCHOOLERS WITH AUTISM SPECTRUM DISORDER: A RESTING STATE MEG STUDY

description: Raw data and connectivity matrices about meg signal in preschoolers with asd
DOI: 10.5281/zenodo.14795033
title: Compilation of 17 anthropogenic pressure gradients and 18 benthic indicators in the Baltic Sea, Atlantic Ocean and Mediterranean Sea

description: Compilation of 17 benthic datasets that sampled benthic ecosystems over gradients of commercial bottom trawling intensity (n=14), eutrophication (n=1), oxygen depletion (n=1) and pollution (n=1) (Table 1).

Compilation of 18 benthic indicators that were calculated for each gradient dataset. The indicators estimated were community biomass, abundance, richness, relative Margalef diversity, Shannon index, Simpson index, Inverse Simpson,  AZTI’s Marine Biotic Index (AMBI), Multivariate AMBI (M-AMBI), BENTIX Biotic Index (BENTIX), Danish Quality Index (DKI), Trawling Disturbance Index (TDI), Modified TDI (mTDI), Modified vulnerability index (mT), Median longevity (Lm), Partial TDI (pTDI), Sentinels of Seabed (SoS), Long-lived fraction (Lf).

The dataset has information on: 1) indicator outputs per sampling station; 2) combined data tables with gradient, station, and species information; 3) individual gradient information with replicate samples and the environmental variables reported in the original study.

#----------------

NOTE: The dataset was updated in February 2025 due to incorrect description of units used for two gradients (Silver Pit and Thames) in the "Individual Gradient Studies" folder.

#---------------

Table 1. Overview of anthropogenic gradient datasets




Location
Sampling method
Pressure gradient




Adriatic Sea – Italian EEZ (sand)
Rapido trawl
Bottom trawling


Adriatic Sea – Italian EEZ (mud)
Rapido trawl
Bottom trawling


North Sea - Dutch EEZ
Box core
Bottom trawling


North Sea - Dogger Bank
Hamon grab
Bottom trawling


North Sea - Fladen Ground
Day grab
Bottom trawling


North Sea - Long Forties
Hamon grab
Bottom trawling


North Sea - Silver Pit
Box core
Bottom trawling


North Sea – Thames
Box core
Bottom trawling


Northern Iberian Coast (sand)
Otter trawl
Bottom trawling


Northern Iberian Coast (mud)
Otter trawl
Bottom trawling


Baltic Sea - Gotland
van Veen grab
Bottom trawling


Baltic Sea – Polish EEZ
Box core
Bottom trawling


NW Atlantic - Flemish Cap
Otter trawl
Bottom trawling


Irish Sea - Sellafield
Day grab
Bottom trawling


Gulf of Finland
van Veen grab
Oxygen depletion


Saronikos Gulf
Box core
Eutrophication


Vigo Estuary
Box core
Contaminants
DOI: 10.5281/zenodo.8308126
title: Compilation of 17 anthropogenic pressure gradients and 18 benthic indicators in the Baltic Sea, Atlantic Ocean and Mediterranean Sea

description: Compilation of 17 benthic datasets that sampled benthic ecosystems over gradients of commercial bottom trawling intensity (n=14), eutrophication (n=1), oxygen depletion (n=1) and pollution (n=1) (Table 1).

Compilation of 18 benthic indicators that were calculated for each gradient dataset. The indicators estimated were community biomass, abundance, richness, relative Margalef diversity, Shannon index, Simpson index, Inverse Simpson,  AZTI’s Marine Biotic Index (AMBI), Multivariate AMBI (M-AMBI), BENTIX Biotic Index (BENTIX), Danish Quality Index (DKI), Trawling Disturbance Index (TDI), Modified TDI (mTDI), Modified vulnerability index (mT), Median longevity (Lm), Partial TDI (pTDI), Sentinels of Seabed (SoS), Long-lived fraction (Lf).

The dataset has information on: 1) indicator outputs per sampling station; 2) combined data tables with gradient, station, and species information; 3) individual gradient information with replicate samples and the environmental variables reported in the original study.

#----------------

NOTE: The dataset was updated in February 2025 due to incorrect description of units used for two gradients (Silver Pit and Thames) in the "Individual Gradient Studies" folder.

#---------------

Table 1. Overview of anthropogenic gradient datasets




Location
Sampling method
Pressure gradient




Adriatic Sea – Italian EEZ (sand)
Rapido trawl
Bottom trawling


Adriatic Sea – Italian EEZ (mud)
Rapido trawl
Bottom trawling


North Sea - Dutch EEZ
Box core
Bottom trawling


North Sea - Dogger Bank
Hamon grab
Bottom trawling


North Sea - Fladen Ground
Day grab
Bottom trawling


North Sea - Long Forties
Hamon grab
Bottom trawling


North Sea - Silver Pit
Box core
Bottom trawling


North Sea – Thames
Box core
Bottom trawling


Northern Iberian Coast (sand)
Otter trawl
Bottom trawling


Northern Iberian Coast (mud)
Otter trawl
Bottom trawling


Baltic Sea - Gotland
van Veen grab
Bottom trawling


Baltic Sea – Polish EEZ
Box core
Bottom trawling


NW Atlantic - Flemish Cap
Otter trawl
Bottom trawling


Irish Sea - Sellafield
Day grab
Bottom trawling


Gulf of Finland
van Veen grab
Oxygen depletion


Saronikos Gulf
Box core
Eutrophication


Vigo Estuary
Box core
Contaminants
DOI: 10.15468/dl.nm8gyk
title: Occurrence Download

description: A dataset containing 3768241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.74217 42.34132,-0.70279 42.02371,0.68131 41.94626,1.30096 42.04759,2.57237 41.8403,3.31543 42.2814,3.09901 42.6645,-1.03497 43.21437,-1.14212 43.65012,-1.51642 43.63475,-3.28517 42.94614,-1.74217 42.34132))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 3768241 records from 1174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010251-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ve5mw8
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyanopsitta spixii (Wagler, 1832)"
 ]
}

 The dataset includes 45 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010261-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eegtps
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.14005 -17.47995,-70.00466 -17.47995,-70.00466 -15.66272,-74.14005 -15.66272,-74.14005 -17.47995))",
 "HasGeospatialIssue is false",
 "TaxonKey is Spinus crassirostris (Landbeck, 1877)",
 "Year 2021-2025"
 ]
}

 The dataset includes 78 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010262-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9487eh
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Atlapetes terborghi Remsen, 1993"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010263-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27qwma
title: Occurrence Download

description: A dataset listing the 1208 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Chaetothyriales"
 ]
}

 The dataset's 1208 records were derived from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010247-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.