cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yqsgu6
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Marginariella urvilliana (A.Rich.) Tandy"
 ]
}

 The dataset includes 353 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006156-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20391/66592987-4d9d-4bbb-a936-928c35d0ae95
title: Miscanthus biomass cell wall composition

description: Cell wall composition (lignin, cellulose, hemicellulose, carbon and nitrogen) from root, rhizome, and senesced leaf in different Miscanthus genotypes grown in a pot-based experiment using rhizome split from mature field plots, along with soil carbon data relating to the field grown plants.
DOI: 10.5258/soton/d3290
title: Dataset supporting the thesis 'Hydrothermal alteration in the Lowermost Ocean Crust: Unique constraints from Oman Drilling Project Hole CM1A'

description: Whole-rock and mineral separates analyses of OmanDP Hole CM1A and Wadi Zeeb samples
This geochemical dataset includes major (hydrous and anhydrous) and trace element compositions, volatiles contents, Sr and stable O and C isotopic compositions.
DOI: 10.15468/dl.tfu74g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Geometry POLYGON((130 30,180 30,180 50,130 50,130 30))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (June, July, August)",
 "Year 2020-2020"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010952-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52tx9x
title: Occurrence Download

description: A dataset containing 848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Atraphaxis L."
 ]
}

 The dataset includes 848 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002111-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbsqfg
title: Occurrence Download

description: A dataset containing 138877 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Grey seals GPS telemetry in Molene Archipelago"
 ]
}

 The dataset includes 138877 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002115-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vd25tq
title: Occurrence Download

description: A dataset containing 9393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus glauca Thunb.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9393 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003205-250515123054153/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.29092901
title: Dataset for CNN-based Bayesian Calibration of TELEMAC-2D Hydraulic Model

description: This dataset contains both raw and processed data used for the Bayesian calibration of a 2D hydraulic model (TELEMAC-2D) using a convolutional neural network (CNN)-based emulator.The dataset is organized into three ZIP files:<b>DEPTHS.zip (319.5 MB)</b><br>This archive contains high-resolution GeoTIFF raster files representing water depth outputs from TELEMAC-2D simulations. These were used as target variables in CNN training and correspond to various Manning’s friction scenarios..<b>FRICTION.zip (35.7 MB)</b><br>Includes the corresponding friction zone maps (Manning’s n coefficients), also in GeoTIFF format, used as spatially distributed input conditions in the simulations. These maps define the roughness zones used in TELEMAC-2D.<b>NPY_SPLITS.zip (364.7 MB)</b><br>Contains the NumPy arrays (<code>.npy</code> format) derived from the TIFF rasters, used to train and validate the CNN emulator. The structure is as follows:Files starting with <code>X_part</code> are flattened input arrays representing friction information extracted from the friction zone rasters.Files starting with <code>y_part</code> are flattened output arrays representing corresponding water depth values.The <code>.npy</code> files were loaded and processed using the following approach in Python:# Load the input and output numpy arraysinput_path = "../data/depths/NPY_SPLITS"x_files = sorted([f for f in os.listdir(input_path) if f.startswith("X_part")])y_files = sorted([f for f in os.listdir(input_path) if f.startswith("y_part")])X_data = np.concatenate([np.load(os.path.join(input_path, f)) for f in x_files], axis=0)y_data = np.concatenate([np.load(os.path.join(input_path, f)) for f in y_files], axis=0)# Split into training and validation setsX_train, X_val, y_train, y_val = train_test_split(X_data, y_data, test_size=0.2, random_state=42)This dataset enables reproducibility of the emulator training process and supports future developments in physically informed machine learning for hydraulic model calibration.<br>
DOI: 10.15468/dl.gb6kgp
title: Occurrence Download

description: A dataset containing 10394052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((-180 -58,180 -58,180 84,-180 84,-180 -58))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY-NC 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Animalia, Plantae)",
 "Year is 2012"
 ]
}

 The dataset includes 10394052 records from 664 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003201-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hd62am
title: Occurrence Download

description: A dataset containing 13007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthus berthelotii Bolle, 1862",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 13007 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003206-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kxamy
title: Occurrence Download

description: A dataset containing 1330052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Specimen)",
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 1330052 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003200-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6umx3u
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-14.619406867845996 27.300248764308055,-10.619406867845996 27.300248764308055,-10.619406867845996 31.300248764308055,-14.619406867845996 31.300248764308055,-14.619406867845996 27.300248764308055))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Engraulis encrasicolus (Linnaeus, 1758)",
 "Year 2010-2025"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003207-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.saauys
title: Occurrence Download

description: A dataset containing 31934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthus campestris (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 31934 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003208-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcj98m
title: Occurrence Download

description: A dataset containing 44161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthus cervinus (Pallas, 1811)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 44161 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003209-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6shsz3
title: Occurrence Download

description: A dataset containing 7881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthus hodgsoni Richmond, 1907",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 7881 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003210-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52tzc7
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyrus xerophila T.T.Yu)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 277 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003211-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/a9vevo
title: coffee SDM data and codes

description: supplementary materials for coffee sdm paper
DOI: 10.15468/dl.9fypbj
title: Occurrence Download

description: A dataset containing 8047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen, Occurrence evidence)",
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bombina orientalis (Boulenger, 1890)"
 ]
}

 The dataset includes 8047 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003213-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n38ypa
title: Occurrence Download

description: A dataset containing 7558 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus acutissima Carruth.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7558 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003214-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11848649
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.efmzcv
title: Occurrence Download

description: A dataset containing 214003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthus petrosus (Montagu, 1798)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 214003 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003212-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.1323599
title: Maltese Results From The Monitoring Of Pesticide Residues In Food

description: This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits.

A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy.

If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample  with quantified residue levels within the legal limits (below or at the MRL)

A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.
description: data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.15108190
title: Effects of Pictures and Gestures on Self-Efficacy, Anxiety, and Fluency in Online Chinese Language Learning

description: This study explores the impact of multimodal instruction—specifically visual aids and teacher gestures—on self-efficacy, speaking anxiety, and oral proficiency among adult learners of Chinese as a second language (L2) in an online learning environment. While multimodal strategies have been widely examined in English L2 contexts, their application in Chinese L2 instruction remains under-researched. Adopting a quasi-experimental design, 54 learners were assigned to experimental and control groups over a 12-week intervention. The experimental group received instruction supplemented with images and teacher gestures, while the control group followed conventional online instruction. Pre- and post-intervention data were analyzed using ANCOVA and Chi-square Goodness-of-Fit tests. Results revealed that the experimental group reported significantly higher self-efficacy (F = 20.62, p < .001), lower speaking anxiety (F = 25.87, p < .001), and greater oral proficiency gains, as measured by HSK speaking scores (F = 9.75, p = .003), compared to the control group. These findings underscore the efficacy of multimodal input in mitigating affective barriers and enhancing performance in digital Chinese language classrooms, with implications for L2 pedagogy and online instructional design.
DOI: 10.5281/zenodo.15108191
title: Effects of Pictures and Gestures on Self-Efficacy, Anxiety, and Fluency in Online Chinese Language Learning

description: This study explores the impact of multimodal instruction—specifically visual aids and teacher gestures—on self-efficacy, speaking anxiety, and oral proficiency among adult learners of Chinese as a second language (L2) in an online learning environment. While multimodal strategies have been widely examined in English L2 contexts, their application in Chinese L2 instruction remains under-researched. Adopting a quasi-experimental design, 54 learners were assigned to experimental and control groups over a 12-week intervention. The experimental group received instruction supplemented with images and teacher gestures, while the control group followed conventional online instruction. Pre- and post-intervention data were analyzed using ANCOVA and Chi-square Goodness-of-Fit tests. Results revealed that the experimental group reported significantly higher self-efficacy (F = 20.62, p < .001), lower speaking anxiety (F = 25.87, p < .001), and greater oral proficiency gains, as measured by HSK speaking scores (F = 9.75, p = .003), compared to the control group. These findings underscore the efficacy of multimodal input in mitigating affective barriers and enhancing performance in digital Chinese language classrooms, with implications for L2 pedagogy and online instructional design.
DOI: 10.5281/zenodo.2587872
title: Maltese results from the monitoring of pesticide residues in food

description: This dataset contains the analytical results of pesticide residues measured in the food products analysed by the national competent authorities. Pesticide residues resulting from the use of plant protection products on crops that are used for food or feed production may pose a risk factor for public health. For this reason, a comprehensive legislative framework has been established in the European Union (EU), which defines rules for the approval of active substances used in plant protection products, the use of plant protection products and for pesticide residues in food. In order to ensure a high level of consumer protection, legal limits, so called “maximum residue levels” or briefly “MRLs”, are established in Regulation (EC) No 396/2005. EU-harmonised MRLs are set for all pesticides covering all types of food products. A default MRL of 0.01 mg/kg is applicable for pesticides not explicitly mentioned in the MRL legislation. Regulation (EC) No 396/2005 imposes on Member States the obligation to carry out controls to ensure that food placed on the market is compliant with the legal limits. A sample is considered <strong>free of quantifiable residues</strong> if the analytes were not present in concentrations at or above the limit of quantification (LOQ). The LOQ is the smallest concentration of an analyte that can be quantified with the analytical method used to analyse the sample. It is commonly defined as the minimum concentration of the analyte in the test sample that can be determined with acceptable precision and accuracy. If a sample is <strong>contains quantifiable residues</strong> but within the legally permitted limit (maximum residue level, MRL), it is described as a sample with quantified residue levels within the legal limits (below or at the MRL) A sample is considered <strong>non-compliant</strong> with the legal limit (MRL), if the measured residue concentrations clearly exceed the legal limits, taking into account the measurement uncertainty. It is current practice that the uncertainty of the analytical measurement is taken into account before legal or administrative sanctions are imposed on food business operators for infringement of the MRL legislation.
description: data.collection@efsa.europa.eu We are seeking feedback on our open data please complete the survey at the link below https://ec.europa.eu/eusurvey/runner/9344dfa0-f384-cb72-65f6-6c187a6d0f14