cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/12860794
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.em5g49
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is KOR.6_1",
 "TaxonKey is Polistes mandarinus",
 "Year 2015-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041677-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpu7zc
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Friscanus friscanus"
 ]
}

 The dataset includes 36 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041678-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncjqcs
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Portulaca oleracea",
 "Country is Jordan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041679-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hc4h7
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glaphyropoma rodriguesi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041680-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16530167
title: The OpenSat4Weather dataset: Ku-band satellite link data for precipitation monitoring

description: OpenSat4weather is a five-month dataset of satellite microwave link (SML) data located in Southern France. SML data can be processed to estimate path-average rainfall intensity along a slant path from a geostationary satellite to a ground receiver.  The network of SMLs includes 215 sensors, recording the received signal level (dBm) by the ground receiver with a 1-minute temporal resolution and the corresponding time stamp. The corresponding SML metadata include frequency and polarization of each link. In addition, OpenSat4weather  hosts concurrent precipitation data  collected from a network of operational rain gauges, weather radar products and ERA5 maps of the 0° isotherm degree height.

We acknowledge Sereno/HD Rain for making their SML data available and Meteo France for providing open access to their meteorological products 

This work was carried out in the context of the activities of the COST Action OPENSENSE, CA20136, ``Opportunistic Precipitation Sensing Network'' supported by COST (European Cooperation in Science and Technology).

Versions: 

1.0: Initial data set, used in ESSD preprint.
DOI: 10.5281/zenodo.16530166
title: The OpenSat4Weather dataset: Ku-band satellite link data for precipitation monitoring

description: OpenSat4weather is a five-month dataset of satellite microwave link (SML) data located in Southern France. SML data can be processed to estimate path-average rainfall intensity along a slant path from a geostationary satellite to a ground receiver.  The network of SMLs includes 215 sensors, recording the received signal level (dBm) by the ground receiver with a 1-minute temporal resolution and the corresponding time stamp. The corresponding SML metadata include frequency and polarization of each link. In addition, OpenSat4weather  hosts concurrent precipitation data  collected from a network of operational rain gauges, weather radar products and ERA5 maps of the 0° isotherm degree height.

We acknowledge Sereno/HD Rain for making their SML data available and Meteo France for providing open access to their meteorological products 

This work was carried out in the context of the activities of the COST Action OPENSENSE, CA20136, ``Opportunistic Precipitation Sensing Network'' supported by COST (European Cooperation in Science and Technology).

Versions: 

1.0: Initial data set, used in ESSD preprint.
DOI: 10.15468/dl.rwjdjf
title: Occurrence Download

description: A dataset containing 15779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Limoniastrum monopetalum"
 ]
}

 The dataset includes 15779 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041681-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tz4e5j
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Portulaca oleracea",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041682-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.skjrqy
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Portulaca oleracea",
 "Country is Maldives",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041683-250811113504898/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.29978662
title: Financial Losses and AT&C Performance of Arunachal Pradesh Power Utility: Historical and Regulatory Data (2015–2030)

description: This dataset compiles financial performance and regulatory filings of the Department of Power, Arunachal Pradesh (APDOP), highlighting accumulated losses, annual financial gaps, and distribution inefficiencies. The data includes historical figures such as accumulated losses of ₹1,897 crore (FY2015), annual losses of ₹39.74 crore (FY2015), and projections of losses exceeding ₹521 crore by FY2019 if corrective measures were not taken. It further incorporates findings from the Arunachal Pradesh State Electricity Regulatory Commission (APSERC) tariff orders, including Aggregate Revenue Requirement (ARR), revenue gaps, and distribution/AT&C loss projections up to FY2029–30. This resource provides a comprehensive view of the state power utility’s financial challenges, revenue–expenditure mismatches, and loss-reduction targets, serving as a reference for researchers, policymakers, and energy economists focused on power sector reforms in North-East India.
DOI: 10.6084/m9.figshare.29978662.v1
title: Financial Losses and AT&C Performance of Arunachal Pradesh Power Utility: Historical and Regulatory Data (2015–2030)

description: This dataset compiles financial performance and regulatory filings of the Department of Power, Arunachal Pradesh (APDOP), highlighting accumulated losses, annual financial gaps, and distribution inefficiencies. The data includes historical figures such as accumulated losses of ₹1,897 crore (FY2015), annual losses of ₹39.74 crore (FY2015), and projections of losses exceeding ₹521 crore by FY2019 if corrective measures were not taken. It further incorporates findings from the Arunachal Pradesh State Electricity Regulatory Commission (APSERC) tariff orders, including Aggregate Revenue Requirement (ARR), revenue gaps, and distribution/AT&C loss projections up to FY2029–30. This resource provides a comprehensive view of the state power utility’s financial challenges, revenue–expenditure mismatches, and loss-reduction targets, serving as a reference for researchers, policymakers, and energy economists focused on power sector reforms in North-East India.
DOI: 10.15468/dl.48emzq
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is KOR.6_1",
 "TaxonKey is Polistes snelleni",
 "Year 2015-2025"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041685-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16927099
title: Machine learning model for burned area prediction

description: The script Ensemble_ssp.py builds the XGBoost-based ML model, reads the training and projection datasets, and generates global gridded (2° × 2.5°) monthly burned area for 2015–2099.Sample datasets for testing are provided in training data.zip. A detailed description of the input datasets will be available in the forthcoming publication.
DOI: 10.5281/zenodo.16927100
title: Machine learning model for burned area prediction

description: The script Ensemble_ssp.py builds the XGBoost-based ML model, reads the training and projection datasets, and generates global gridded (2° × 2.5°) monthly burned area for 2015–2099.Sample datasets for testing are provided in training data.zip. A detailed description of the input datasets will be available in the forthcoming publication.
DOI: 10.15468/dl.5w58x9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Portulaca oleracea",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041686-250811113504898/datasets/export for details.
DOI: 10.15468/dl.mk632v
title: Occurrence Download

description: A dataset containing 17694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Eriogonum umbellatum"
 ]
}

 The dataset includes 17694 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041684-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.29901281
title: Supporting data for "harnessing visual unawareness in the modulation of fear-related memories"

description: Dataset of Chapter 2 includes 1) pupil dilation during acquisition, extinction, and re-extinction; 2) subjective ratings after acquisition, extinction, and re-extinction; 3) manipulation checks during extinction; 4) mood questionnaires from 78 participants.Dataset of Chapter 3 includes 1) subjective ratings after acquisition, extinction, and re-extinction; 2) pupil dilation during acquisition; 3) preprocessed fMRI data during extinction and re-extinction; 4) manipulation checks during extinction; 5) mood questionnaires from 60 participants.Dataset of Chapter 4 includes 1) subjective ratings after acquisition, extinction, and re-extinction; 2) pre-extinction resting-state functional connectivity; 3) event-related BOLD signals during extinction and re-extinction from 60 participants.
DOI: 10.25442/hku.29901281.v1
title: Supporting data for "harnessing visual unawareness in the modulation of fear-related memories"

description: Dataset of Chapter 2 includes 1) pupil dilation during acquisition, extinction, and re-extinction; 2) subjective ratings after acquisition, extinction, and re-extinction; 3) manipulation checks during extinction; 4) mood questionnaires from 78 participants.Dataset of Chapter 3 includes 1) subjective ratings after acquisition, extinction, and re-extinction; 2) pupil dilation during acquisition; 3) preprocessed fMRI data during extinction and re-extinction; 4) manipulation checks during extinction; 5) mood questionnaires from 60 participants.Dataset of Chapter 4 includes 1) subjective ratings after acquisition, extinction, and re-extinction; 2) pre-extinction resting-state functional connectivity; 3) event-related BOLD signals during extinction and re-extinction from 60 participants.
DOI: 10.5281/zenodo.16926890
title: The projected future global wildfire carbon emissions

description: The gridded (2° × 2.5°) annual mean wildfire carbon emissions, averaged over 2095–2099, under SSP2-4.5 and SSP5-8.5 scenarios are provided in two separate sheets of the file Global fire carbon emissions.xlsx.
DOI: 10.5281/zenodo.16926891
title: The projected future global wildfire carbon emissions

description: The gridded (2° × 2.5°) annual mean wildfire carbon emissions, averaged over 2095–2099, under SSP2-4.5 and SSP5-8.5 scenarios are provided in two separate sheets of the file Global fire carbon emissions.xlsx.
DOI: 10.25442/hku.29897684
title: Supporting data for "Age-at-onset in schizophrenia: Genetic Risk, Epigenetic Regulation, and Hormonal Influences"

description: This dataset comprises the foundational genetic and epigenetic materials supporting the investigation of age-at-onset heterogeneity in schizophrenia spectrum disorders. The collection features raw genotypic data in PLINK format (.bed, .bim, .fam) from genome-wide association studies, accompanied by comprehensive quality control documentation and derived analytical outputs. Epigenetic components include 850K DNA methylation profiles generated using the Illumina EPIC array platform, preserved in raw .idat formats.The analytical framework incorporates complete computational pipelines, featuring PLINK command sequences for genetic association testing and R scripts implementing the minfi pipeline for methylation data preprocessing. Clinical covariates essential for analysis - including de-identified demographic variables (gender, age), precise age-at-onset measurements, and medication history are provided.
DOI: 10.25442/hku.29897684.v1
title: Supporting data for "Age-at-onset in schizophrenia: Genetic Risk, Epigenetic Regulation, and Hormonal Influences"

description: This dataset comprises the foundational genetic and epigenetic materials supporting the investigation of age-at-onset heterogeneity in schizophrenia spectrum disorders. The collection features raw genotypic data in PLINK format (.bed, .bim, .fam) from genome-wide association studies, accompanied by comprehensive quality control documentation and derived analytical outputs. Epigenetic components include 850K DNA methylation profiles generated using the Illumina EPIC array platform, preserved in raw .idat formats.The analytical framework incorporates complete computational pipelines, featuring PLINK command sequences for genetic association testing and R scripts implementing the minfi pipeline for methylation data preprocessing. Clinical covariates essential for analysis - including de-identified demographic variables (gender, age), precise age-at-onset measurements, and medication history are provided.
DOI: 10.25442/hku.29886791
title: <i>Supporting data for</i> “Longitudinal Study of Antibiotic Resistance Genes and Pathogens in Wastewater Treatment Plants Using Metagenomic and Targeted DNA Sequencing”

description: This dataset contains raw and processed files generated during metagenomic and targeted sequencing experiments for antimicrobial resistance genes (ARGs) and microbial community analysis. The files include:<b>lambda.fa</b> – Reference genome file for control or benchmarking purposes.<b>ATOPlex250514001I_Output.zip</b> – multiplex pcr results.<b>skraken2.txt</b> – Taxonomic classification results generated using Kraken2.<b>13yearstin_na_normalized_cell.subtype.txt</b> – Normalized ARGs subtype abundance data over a 13-year timescale.<b>Sampledata_1.trim.fq</b> and <b>Sampledata_2.trim.fq</b> – Quality-trimmed raw sequencing reads in FASTQ format.
DOI: 10.25442/hku.29886791.v1
title: <i>Supporting data for</i> “Longitudinal Study of Antibiotic Resistance Genes and Pathogens in Wastewater Treatment Plants Using Metagenomic and Targeted DNA Sequencing”

description: This dataset contains raw and processed files generated during metagenomic and targeted sequencing experiments for antimicrobial resistance genes (ARGs) and microbial community analysis. The files include:<b>lambda.fa</b> – Reference genome file for control or benchmarking purposes.<b>ATOPlex250514001I_Output.zip</b> – multiplex pcr results.<b>skraken2.txt</b> – Taxonomic classification results generated using Kraken2.<b>13yearstin_na_normalized_cell.subtype.txt</b> – Normalized ARGs subtype abundance data over a 13-year timescale.<b>Sampledata_1.trim.fq</b> and <b>Sampledata_2.trim.fq</b> – Quality-trimmed raw sequencing reads in FASTQ format.
DOI: 10.25442/hku.29877134
title: Supporting data for "Conceptualising CLIL Teacher Assessment Literacy"

description: When assessing students’ content knowledge in their second/foreign/additional language (L2), Content and Language Integrated Learning (CLIL) teachers can encounter challenges, such as how to balance content and language, how to select and implement appropriate techniques, how to address validity and fairness issues caused by using L2. Thereby, to implement assessment effectively, CLIL teachers need to become assessment-literate. CLIL assessment as well as CLIL teacher assessment literacy has been under-explored areas. Although teacher assessment literacy has been studied in the past three decades, this concept needs to be contextualised so that it can reflect the unique characteristics of CLIL. To address this gap, this two-stage study conceptualises CLIL teacher assessment literacy by exploring the key constructs constituting CLIL teacher assessment literacy and developing and validating an instrument to capture CLIL teachers’ assessment literacy patterns.
DOI: 10.25442/hku.29877134.v1
title: Supporting data for "Conceptualising CLIL Teacher Assessment Literacy"

description: When assessing students’ content knowledge in their second/foreign/additional language (L2), Content and Language Integrated Learning (CLIL) teachers can encounter challenges, such as how to balance content and language, how to select and implement appropriate techniques, how to address validity and fairness issues caused by using L2. Thereby, to implement assessment effectively, CLIL teachers need to become assessment-literate. CLIL assessment as well as CLIL teacher assessment literacy has been under-explored areas. Although teacher assessment literacy has been studied in the past three decades, this concept needs to be contextualised so that it can reflect the unique characteristics of CLIL. To address this gap, this two-stage study conceptualises CLIL teacher assessment literacy by exploring the key constructs constituting CLIL teacher assessment literacy and developing and validating an instrument to capture CLIL teachers’ assessment literacy patterns.
DOI: 10.15468/dl.vee6d7
title: Occurrence Download

description: A dataset containing 745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lasiancistrus caucanus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 745 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041687-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.29876648
title: Supporting data for “Adaptive Phototactic Behaviors and Navigation Strategies in <i>Chlamydomonas</i>”

description: Swimming microorganisms play fundamental roles in ecosystems, influencing nutrient cycling and energy transfer. To thrive in dynamic environments, these microswimmers have evolved a variety of locomotion and adaptive behaviors. They respond to diverse environmental cues by modulating their motility and navigation strategies across different spatial and temporal scales. Among these stimuli, light serves as a versatile signal, eliciting phototactic responses critical for survival and ecological interactions. Understanding how microorganisms respond to light is fundamental for uncovering their ecological roles and advancing light-responsive artificial microrobots. However, the mechanisms by which microswimmers coordinate individual and colony behaviors and adapt their navigation strategies to light remain poorly understood. This thesis investigates adaptive phototactic behaviors and navigation strategies in swimming microorganisms, focusing on their responses to changing light environments across multiple temporal scales.This dataset consists of two main folders containing the core data and simulation materials referenced in the associated thesis. The first folder, "<i>Experimental data</i>", includes critical experimental measurements such as the phase angle of <i>Chlamydomonas</i> cells during swimming, detailed flagella beat waveforms, and the proportion of cells exhibiting various swimming states under different light intensities. The second folder, "<i>Simulation</i>", provides the complete set of codes used for hydrodynamic modeling described in the thesis. These simulation files successfully reproduce key behaviors observed in <i>Chlamydomonas</i>, including helical swimming and phototactic responses. Together, the dataset offers both the essential raw and processed data as well as the computational tools necessary to analyze and replicate the major findings of the research.
DOI: 10.25442/hku.29876648.v1
title: Supporting data for “Adaptive Phototactic Behaviors and Navigation Strategies in <i>Chlamydomonas</i>”

description: Swimming microorganisms play fundamental roles in ecosystems, influencing nutrient cycling and energy transfer. To thrive in dynamic environments, these microswimmers have evolved a variety of locomotion and adaptive behaviors. They respond to diverse environmental cues by modulating their motility and navigation strategies across different spatial and temporal scales. Among these stimuli, light serves as a versatile signal, eliciting phototactic responses critical for survival and ecological interactions. Understanding how microorganisms respond to light is fundamental for uncovering their ecological roles and advancing light-responsive artificial microrobots. However, the mechanisms by which microswimmers coordinate individual and colony behaviors and adapt their navigation strategies to light remain poorly understood. This thesis investigates adaptive phototactic behaviors and navigation strategies in swimming microorganisms, focusing on their responses to changing light environments across multiple temporal scales.This dataset consists of two main folders containing the core data and simulation materials referenced in the associated thesis. The first folder, "<i>Experimental data</i>", includes critical experimental measurements such as the phase angle of <i>Chlamydomonas</i> cells during swimming, detailed flagella beat waveforms, and the proportion of cells exhibiting various swimming states under different light intensities. The second folder, "<i>Simulation</i>", provides the complete set of codes used for hydrodynamic modeling described in the thesis. These simulation files successfully reproduce key behaviors observed in <i>Chlamydomonas</i>, including helical swimming and phototactic responses. Together, the dataset offers both the essential raw and processed data as well as the computational tools necessary to analyze and replicate the major findings of the research.