cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30634346.v1
title: Data and figure for manuscript submitted to <i>Journal of Geophysical Research: Earth Surface</i>

description: Data and figure for manuscript submitted to <i>Journal of Geophysical Research: Earth Surface</i><i>. </i>The title of the manuscript is<i> </i><i>Insight</i><i> </i><i>I</i><i>nto The Failure Mechanism</i><i> </i><i>o</i><i>f Loosely</i><i>-</i><i>Deposited Submarine Clayey Slope Under Combined Wave</i><i> </i><i>a</i><i>nd Current Loadings: Experiment</i><i> </i><i>a</i><i>nd Simulation.</i>
DOI: 10.15468/dl.v8x2dq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neoenchytraeus fenestratus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044279-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34810/data2599
title: Replication Data for: Effects of solid-state fermentation with Pleurotus ostreatus on the nutritional and techno-functional properties of alternative protein ingredients

description: This database contains nutritional and techno-functional properties of plant ingredients, including quinoa, chickpea, oat and Chlorella vulgaris with oat (Cv+O), and the obtained products after sterilization and solid-state fermentation with Pleurotus ostreatus. The ingredients were subjected to sterilization (autoclave) at 121 °C for 15 min, followed by solid-state fermentation with Pleurotus ostreatus after inoculation of suspended mycelium and incubation at 28 °C for 10 days in sterile containers. Total nitrogen, non-protein nitrogen, fat, amino acids, indispensable amino acids score, fatty acids, pH, foaming capacity (FC), emulsion stability (ES), water absorption capacity (WAC), oil absorption capacity (OAC), least gelling concentration (LGC) and protein solubility (PS) were determined in the raw, autoclaved and fermented ingredients, to assess the effect of sterilization and fermentation on nutritional and techno-functional properties of the ingredients. The results obtained were discussed in a scientific publication (https://doi.org/10.1016/j.foodchem.2025.145090).
DOI: 10.15468/dl.2fh7xt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is "
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044280-251120083545085/datasets/export for details.
DOI: 10.15468/dl.fvfpc4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is "
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044281-251120083545085/datasets/export for details.
DOI: 10.15468/dl.nc4jfq
title: Occurrence Download

description: A dataset containing 2396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Wasmannia auropunctata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2396 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044284-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np8edr
title: Occurrence Download

description: A dataset containing 6575 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((151.416470 -32.723449, 151.349328 -32.659857, 151.267584 -32.659857, 151.334690 -32.723449, 151.416470 -32.723449))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6575 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044285-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/8vze-ga22
title: "Research on Multi-sensor Information Fusion Positioning of Permanent Magnet Maglev Trains Based on Transformer Learning"

description: "With rapid urbanization, maglev trains have become pivotal in urban transit development owing to their high-speed operation, noise reduction, and environmental sustainability.Maglev navigation systems ensure operational safety and scheduling efficiency yet face GNSS signal interruption challenges in complex urban environments.To resolve this challenge, we propose a dual-stage fusion scheme integrating Transformer-based neural network prediction with Kalman fusion.Integrating multi-sensor fusion with Transformer neural networks enhances maglev train positioning under GNSS interruption scenarios.  This approach utilizes historical GNSS, INS and other sensor data to learn spatiotemporal correlations and motion trends, enabling predictive positioning during signal outages.   Experiments demonstrate that the Transformer-Kalman fusion model achieves  fusion trajectories are closer to the real values, yielding lower MAE, MAPE, and RMSE errors than alternative structures.   Compared with the Extended Kalman Filter (EKF) and Adaptive Kalman Filter (AKF) algorithms in different scenarios, the neural network model based on Transformer-Kalman fusion predicts the two-stage fusion scheme with significant advantages in terms of stability and accuracy, enhancing the robustness of the positioning system.   Provide key technical support for the safe operation of maglev trains."
DOI: 10.15468/dl.xqmunw
title: Occurrence Download

description: A dataset containing 871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyaena brunnea",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 871 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044286-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pngyg
title: Occurrence Download

description: A dataset containing 131863 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alle alle"
 ]
}

 The dataset includes 131863 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044221-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b54m3b
title: Occurrence Download

description: A dataset containing 18165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lumbriculus variegatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18165 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044288-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6dk67
title: Occurrence Download

description: A dataset containing 5857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Megachile sculpturalis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5857 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044289-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqfzsg
title: Occurrence Download

description: A dataset containing 113886548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "OccurrenceStatus is Present",
 "Year 2005-2025"
 ]
}

 The dataset includes 113886548 records from 520 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044231-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnwft9
title: Occurrence Download

description: A dataset containing 5352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((6.734432 46.056850, 6.738975 46.116010, 6.659091 46.116010, 6.654602 46.056850, 6.734432 46.056850))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5352 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044290-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17878310
title: EJP SOIL SANCHOSTHIRST Soil Dataset – Gálvez/ Toledo

description: This dataset forms part of the H2020 EJP-SOIL project SANCHOSTHIRST, which investigates soil degradation and the role of cover crops in semi-arid vineyards and olive groves across 15 sites in Spain. Data set represents soil physicochemical and biological properties collected once in autumn 2023 at two depths (10 and 30 cm). Measurements include pH, EC, soil texture, organic carbon, nitrogen, water retention parameters, bulk density, microbial activity (β-glucosidase), and above and below-ground biomass. 

Each record contains site-specific coordinates.

Data are provided as Excel files and follow FAIR data principles under CC BY 4.0, ensuring transparency, long-term access, and reuse.

This practice follows the FAIR data principles and aligns with the EU Open Data Directive (Directive (EU) 2019/1024), supporting transparency, long-term accessibility and the reuse of publicly funded research outputs.

SANCHOSTHIRST (https://projects.au.dk/ejpsoil/soil-research/second-external-call-international-call/sanchosthirst) aims to address soil degradation in semi-arid vineyards and olive groves by assessing how cover crops affect soil health, carbon sequestration and ecosystem services under current and future climate conditions. Through field monitoring, modelling, remote sensing and farmer-focused outreach, the project promotes more sustainable land-management practices in Mediterranean woody crops.

These olive orchards are developed on biotitic granites, with soils classified as Dystric and Calcaric Cambisols and sandy loam texture. One is managed with spontaneous cover crops for 10 years, and the other with tillage (TILL).
DOI: 10.5281/zenodo.17878311
title: EJP SOIL SANCHOSTHIRST Soil Dataset – Gálvez/ Toledo

description: This dataset forms part of the H2020 EJP-SOIL project SANCHOSTHIRST, which investigates soil degradation and the role of cover crops in semi-arid vineyards and olive groves across 15 sites in Spain. Data set represents soil physicochemical and biological properties collected once in autumn 2023 at two depths (10 and 30 cm). Measurements include pH, EC, soil texture, organic carbon, nitrogen, water retention parameters, bulk density, microbial activity (β-glucosidase), and above and below-ground biomass. 

Each record contains site-specific coordinates.

Data are provided as Excel files and follow FAIR data principles under CC BY 4.0, ensuring transparency, long-term access, and reuse.

This practice follows the FAIR data principles and aligns with the EU Open Data Directive (Directive (EU) 2019/1024), supporting transparency, long-term accessibility and the reuse of publicly funded research outputs.

SANCHOSTHIRST (https://projects.au.dk/ejpsoil/soil-research/second-external-call-international-call/sanchosthirst) aims to address soil degradation in semi-arid vineyards and olive groves by assessing how cover crops affect soil health, carbon sequestration and ecosystem services under current and future climate conditions. Through field monitoring, modelling, remote sensing and farmer-focused outreach, the project promotes more sustainable land-management practices in Mediterranean woody crops.

These olive orchards are developed on biotitic granites, with soils classified as Dystric and Calcaric Cambisols and sandy loam texture. One is managed with spontaneous cover crops for 10 years, and the other with tillage (TILL).
DOI: 10.15468/dl.vyhhw3
title: Occurrence Download

description: A dataset containing 7985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyaena hyaena",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 7985 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044291-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxhh2m
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parapodrilus psammophilus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044292-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqh8j4
title: Occurrence Download

description: A dataset containing 1839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vespa mandarinia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is not null",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1839 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044293-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17845851
title: NeD-Mind LCR Theory – Complete Experimental Validation

description: First experimental validation of (LCR) the Law of Coherent Reflexivity predicting cognitive transitions
DOI: 10.5281/zenodo.17845852
title: NeD-Mind LCR Theory – Complete Experimental Validation

description: First experimental validation of (LCR) the Law of Coherent Reflexivity predicting cognitive transitions
DOI: 10.6084/m9.figshare.14039504
title: Tree Trait Task Force (3TF) - Tree Functional Trait Database

description: Tree Trait Task Force (3TF) - Tree Functional Trait Database<br>Corresponding author :belluaumichael@gmail.compaquette.alain@uqam.camessier.christian@uqam.ca<br>Our dataset was originally created to offer scientists and the public a “ready-to-use” functional trait database for trees. This dataset is the first step within a larger project to create a standardized tree functional trait database for applied projects.We aim to offer a clean and uniform database of traits with clear selection criteria for its retained values.This database was compiled from TRY database (Kattge et al., 2011), the Kew Seed Information Database, and from the literature. The species list of trees used for the database was originally obtained form the Global Tree Search database (https://tools.bgci.org/global_tree_search.php) and was defined as :”a woody plant with usually a single stem growing to a height of at least two metres, or if multi-stemmed, then at least one vertical stem five centimetres in diameter at breast height.”. To this species list was added subspecies and varieties phylogenetically related. We ended up with a list of 5244 tree species. Using this species list, we requested trait data from TRY database for 8 functional traits (specific leaf area, seed mass, wood density, leaf nitrogen content, lead dry matter content, leaf life span, net maximum photosynthesis, specific root length). The same 8 traits were requested from the BIEN database for the same list of species. We then triage the traits data to ensure that only values which matched our criteria were retained. Our criteria were that the trait value was measured on mature trees (no seedling, no young shoot) in the field on trees growing in their natural environment (without experimental manipulation – or from control group) ; that measurement units are correct and measured according to internationally validated protocols (Cornelissen – perez-arguindeguy) ; that measurement can be traced back to a single original publication ; all remaining possible outliers were verified manually by going back to the original publication for confirmation. This data selection process ensured that the traits values are trustworthy and unique, meaning that the same original measurement was not present several times in the database.<br>Full dataset description will follow soon
DOI: 10.6084/m9.figshare.14039504.v6
title: Tree Trait Task Force (3TF) - Tree Functional Trait Database

description: Tree Trait Task Force (3TF) - Tree Functional Trait Database<br>Corresponding author :belluaumichael@gmail.compaquette.alain@uqam.camessier.christian@uqam.ca<br>Our dataset was originally created to offer scientists and the public a “ready-to-use” functional trait database for trees. This dataset is the first step within a larger project to create a standardized tree functional trait database for applied projects.We aim to offer a clean and uniform database of traits with clear selection criteria for its retained values.This database was compiled from TRY database (Kattge et al., 2011), the Kew Seed Information Database, and from the literature. The species list of trees used for the database was originally obtained form the Global Tree Search database (https://tools.bgci.org/global_tree_search.php) and was defined as :”a woody plant with usually a single stem growing to a height of at least two metres, or if multi-stemmed, then at least one vertical stem five centimetres in diameter at breast height.”. To this species list was added subspecies and varieties phylogenetically related. We ended up with a list of 5244 tree species. Using this species list, we requested trait data from TRY database for 8 functional traits (specific leaf area, seed mass, wood density, leaf nitrogen content, lead dry matter content, leaf life span, net maximum photosynthesis, specific root length). The same 8 traits were requested from the BIEN database for the same list of species. We then triage the traits data to ensure that only values which matched our criteria were retained. Our criteria were that the trait value was measured on mature trees (no seedling, no young shoot) in the field on trees growing in their natural environment (without experimental manipulation – or from control group) ; that measurement units are correct and measured according to internationally validated protocols (Cornelissen – perez-arguindeguy) ; that measurement can be traced back to a single original publication ; all remaining possible outliers were verified manually by going back to the original publication for confirmation. This data selection process ensured that the traits values are trustworthy and unique, meaning that the same original measurement was not present several times in the database.<br>Full dataset description will follow soon
DOI: 10.6084/m9.figshare.14039504.v5
title: Tree Trait Task Force (3TF) - Tree Functional Trait Database

description: Tree Trait Task Force (3TF) - Tree Functional Trait Database<br>Corresponding author :belluaumichael@gmail.compaquette.alain@uqam.camessier.christian@uqam.ca<br>Our dataset was originally created to offer scientists and the public a “ready-to-use” functional trait database for trees. This dataset is the first step within a larger project to create a standardized tree functional trait database for applied projects.We aim to offer a clean and uniform database of traits with clear selection criteria for its retained values.This database was compiled from TRY database (Kattge et al., 2011), the Kew Seed Information Database, and from the literature. The species list of trees used for the database was originally obtained form the Global Tree Search database (https://tools.bgci.org/global_tree_search.php) and was defined as :”a woody plant with usually a single stem growing to a height of at least two metres, or if multi-stemmed, then at least one vertical stem five centimetres in diameter at breast height.”. To this species list was added subspecies and varieties phylogenetically related. We ended up with a list of 5244 tree species. Using this species list, we requested trait data from TRY database for 8 functional traits (specific leaf area, seed mass, wood density, leaf nitrogen content, lead dry matter content, leaf life span, net maximum photosynthesis, specific root length). The same 8 traits were requested from the BIEN database for the same list of species. We then triage the traits data to ensure that only values which matched our criteria were retained. Our criteria were that the trait value was measured on mature trees (no seedling, no young shoot) in the field on trees growing in their natural environment (without experimental manipulation – or from control group) ; that measurement units are correct and measured according to internationally validated protocols (Cornelissen – perez-arguindeguy) ; that measurement can be traced back to a single original publication ; all remaining possible outliers were verified manually by going back to the original publication for confirmation. This data selection process ensured that the traits values are trustworthy and unique, meaning that the same original measurement was not present several times in the database.<br>Full dataset description will follow soon
DOI: 10.15468/dl.r4rt8n
title: Occurrence Download

description: A dataset containing 1647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nothria hyperborea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1647 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044296-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17722307
title: First-Principles Electronic Transport Study of Ti3C2O2 and Ti3C2F2 MXenes for Triacetone Triperoxide Resistive Sensing

description: XYZ files of studied relaxed configurations:

a) Configurations used for Siesta calculations of adsorption energy, DOS, PDOS and CDD.

b) Configurations used in TranSiesta transport calculations contain designation transport in the filename.
DOI: 10.5281/zenodo.17722309
title: First-Principles Electronic Transport Study of Ti3C2O2 and Ti3C2F2 MXenes for Triacetone Triperoxide Resistive Sensing

description: XYZ files of studied relaxed configurations:

a) Configurations used for Siesta calculations of adsorption energy, DOS, PDOS and CDD.

b) Configurations used in TranSiesta transport calculations contain designation transport in the filename.