cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17676591
title: Ciona_threat response_part II
DOI: 10.5281/zenodo.17676592
title: Ciona_threat response_part II
DOI: 10.15468/dl.we4585
title: Occurrence Download

description: A dataset containing 16784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-124.45104 49.55596,-124.9059 49.88423,-125.96657 49.63774,-126.12343 49.00283,-125.4213 48.63683,-124.68182 48.44262,-123.71079 48.18866,-122.60608 48.08447,-122.44175 48.15917,-122.66584 48.64468,-123.0169 48.89118,-124.45104 49.55596))",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco peregrinus"
 ]
}

 The dataset includes 16784 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003060-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96wq4j
title: Occurrence Download

description: A dataset containing 920 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxifraga magellanica"
 ]
}

 The dataset includes 920 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003063-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5p55dw4w
title: MassIVE MSV000099990 - Ataxin-2 knockdown is neuroprotective via cell-autonomous and non-cell-autonomous mechanisms
title: Ataxin-2 (Atxn2), a ubiquitously expressed RNA-binding protein, has been implicated in ALS risk, and its silencing represents a promising therapeutic strategy to extend life span and ameliorate symptoms in ALS. Although neuroprotective effects have been shown in several ALS preclinical models, the molecular mechanisms underlying ataxin-2 downregulation neuroprotective effects remain poorly understood. Starting with a global proteomic profiling of the yeast and mouse TDP-43 models, we uncovered that pbp1/ataxin-2 downregulation rewires metabolism to activate alternative cellular pathways for energy production under stress. By combining proteomic profiling insights and functional studies in neural cultures, we further show that ataxin-2 downregulation adjusts metabolism in both cell-autonomous and non cell-autonomous pathways. In neurons, ataxin-2 downregulation activates glycolysis and reductive glutamine carboxylation, while astrocytes provide enhanced support by increasing cholesterol synthesis. Collectively, our data characterize novel cellular pathways to overcome TDP-43 toxicity and establish ataxin-2 as a regulator of adaptive response in brain cells under the conditions of stress.
DOI: 10.15468/dl.zemga7
title: Occurrence Download

description: A dataset containing 390982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "SpeciesKey is one of (Meleagris gallopavo, Branta canadensis, Corvus frugilegus, Gymnorhina tibicen, Columba livia, Acridotheres tristis, Pavo cristatus, Anser anser, Myiopsitta monachus, Psittacula krameri)",
 "Year 2010-2025"
 ]
}

 The dataset includes 390982 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003055-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gj7fvg
title: Occurrence Download

description: A dataset containing 35743738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 35743738 records from 3350 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003052-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15577645
title: Result of Blackbox Testing
DOI: 10.5281/zenodo.15577646
title: Result of Blackbox Testing
DOI: 10.15468/dl.g56eqk
title: Occurrence Download

description: A dataset containing 45526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UWBM Mammalogy Collection (Arctos)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45526 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012940-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/f66r-r9s8
title: Measurement of Particle_number_concentration at South Pole

description: Measurement of Particle_number_concentration at South Pole
DOI: 10.15468/dl.s2cbk6
title: Occurrence Download

description: A dataset containing 158348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is one of (Meles meles (Linnaeus, 1758), Milvus milvus (Linnaeus, 1758))"
 ]
}

 The dataset includes 158348 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012906-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15130417
title: Datasets_WP2

description: Inventory of datasets and package for WP2 in the ACES project.
DOI: 10.5281/zenodo.15463841
title: Datasets_WP2

description: Inventory of datasets and package for WP2 in the ACES project.
DOI: 10.15468/dl.hfk3kj
title: Occurrence Download

description: A dataset containing 522295 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cicerbita acuminata (Conrath & Freyn) Grossh., Cirsium arvense var. alpestre Nägeli, Cistus ladanifer subsp. ladanifer, Cistus laurifolius subsp. atlanticus (Pit.) Sennen & Mauricio, Cistus ×laxus Aiton)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 522295 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003836-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxttsv
title: Occurrence Download

description: A dataset containing 124829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates catesbeianus (Shaw, 1802))"
 ]
}

 The dataset includes 124829 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003835-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r97vee
title: Occurrence Download

description: A dataset containing 3298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphractus sexcinctus (Linnaeus, 1758)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3298 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003839-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.752huf
title: Occurrence Download

description: A dataset containing 494153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vaccinium vitis-idaea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is Europe"
 ]
}

 The dataset includes 494153 records from 634 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002165-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/032fe578-6933-45da-ba7a-f7da2b186bcd
title: Data underlying the dissertation "Diamond Quantum Network Nodes with Open Microcavities"

description: Additional Python scripts and simulation data for the plots presented in the dissertation.The dissertation contains experiments of diamond color centers coupled to open microcavities in the context of quantum networks.Experiments are performed in a quantum optics laboratory.<br>The plot scripts and simulation data for <strong>Chapter 3</strong> (A Theoretical Introduction to Diamond-Air Microcavities for Quantum Networks) are stored here.<br>Datasets underlying the individual chapters can be found in (direct links are under References):<strong>Chapter 4:</strong>A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave IntegrationReference: https://doi.org/10.4121/451152e2-a4d4-4e42-96e0-4147afb1e45c<br><strong>Chapter 5:</strong>Laser-cut Patterned, Micrometer-thin Diamond Membranes with Coherent Color Centers for Open MicrocavitiesReference: https://doi.org/10.4121/a8e32e27-5a91-4a4a-abfc-e5bd884317ae<br><strong>Chapter 6:</strong>Coherent Coupling of a Diamond Tin-Vacancy Center to a Tunable Open MicrocavityReference: https://doi.org/10.4121/421a26ac-4e92-411f-bb0a-5e6af21cf426<br><strong>Chapter 7:</strong>Spin-Photon Correlations from a Purcell-enhanced Diamond Nitrogen-Vacancy Center Coupled to an Open MicrocavityReference: https://doi.org/10.4121/6f8031ae-dd61-4b4f-adf4-d20bc88ed9ac
DOI: 10.4121/032fe578-6933-45da-ba7a-f7da2b186bcd.v1
title: Data underlying the dissertation "Diamond Quantum Network Nodes with Open Microcavities"

description: Additional Python scripts and simulation data for the plots presented in the dissertation.The dissertation contains experiments of diamond color centers coupled to open microcavities in the context of quantum networks.Experiments are performed in a quantum optics laboratory.<br>The plot scripts and simulation data for <strong>Chapter 3</strong> (A Theoretical Introduction to Diamond-Air Microcavities for Quantum Networks) are stored here.<br>Datasets underlying the individual chapters can be found in (direct links are under References):<strong>Chapter 4:</strong>A Low-Temperature Tunable Microcavity featuring High Passive Stability and Microwave IntegrationReference: https://doi.org/10.4121/451152e2-a4d4-4e42-96e0-4147afb1e45c<br><strong>Chapter 5:</strong>Laser-cut Patterned, Micrometer-thin Diamond Membranes with Coherent Color Centers for Open MicrocavitiesReference: https://doi.org/10.4121/a8e32e27-5a91-4a4a-abfc-e5bd884317ae<br><strong>Chapter 6:</strong>Coherent Coupling of a Diamond Tin-Vacancy Center to a Tunable Open MicrocavityReference: https://doi.org/10.4121/421a26ac-4e92-411f-bb0a-5e6af21cf426<br><strong>Chapter 7:</strong>Spin-Photon Correlations from a Purcell-enhanced Diamond Nitrogen-Vacancy Center Coupled to an Open MicrocavityReference: https://doi.org/10.4121/6f8031ae-dd61-4b4f-adf4-d20bc88ed9ac
DOI: 10.5281/zenodo.18324273
title: Modified ozone stress parameterization schemes for vegetation damage simulation in CTSM 5.3

description: This dataset provides a subset of the input ozone concentration forcing data and the corresponding model simulation output data used to assess ozone-caused damage to vegetation in the Community Terrestrial Systems Model (CTSM) version 5.3.

The ozone concentration data are used as external forcing for CTSM simulations, while the output data include selected vegetation and carbon-cycle variables generated under the modified ozone-stress parameterization schemes described in Zhou (2026b). Due to data volume limitations, only representative portions of the full dataset are archived here.

The archived data support process-based analysis of vegetation responses to ozone exposure and enable reproducibility of the model experiments presented in Zhou (2026a). Researchers interested in accessing the complete dataset are encouraged to contact Peng Zhou directly.

The archived data are provided to ensure transparency, long-term accessibility, and reuse for land surface modeling and vegetation–atmosphere interaction studies, within the constraints of data volume.

Model: Community Terrestrial Systems Model (CTSM) 5.3Data type: Model forcing data (ozone concentration) and model simulation outputs (subset)Purpose: Evaluation of ozone-induced vegetation damage in a process-based land surface modelIntended use: Research, model evaluation, and intercomparison studies
DOI: 10.5281/zenodo.18324274
title: Modified ozone stress parameterization schemes for vegetation damage simulation in CTSM 5.3

description: This dataset provides a subset of the input ozone concentration forcing data and the corresponding model simulation output data used to assess ozone-caused damage to vegetation in the Community Terrestrial Systems Model (CTSM) version 5.3.

The ozone concentration data are used as external forcing for CTSM simulations, while the output data include selected vegetation and carbon-cycle variables generated under the modified ozone-stress parameterization schemes described in Zhou (2026b). Due to data volume limitations, only representative portions of the full dataset are archived here.

The archived data support process-based analysis of vegetation responses to ozone exposure and enable reproducibility of the model experiments presented in Zhou (2026a). Researchers interested in accessing the complete dataset are encouraged to contact Peng Zhou directly.

The archived data are provided to ensure transparency, long-term accessibility, and reuse for land surface modeling and vegetation–atmosphere interaction studies, within the constraints of data volume.

Model: Community Terrestrial Systems Model (CTSM) 5.3Data type: Model forcing data (ozone concentration) and model simulation outputs (subset)Purpose: Evaluation of ozone-induced vegetation damage in a process-based land surface modelIntended use: Research, model evaluation, and intercomparison studies
DOI: 10.6084/m9.figshare.31006969
title: Maternal disgust and child health

description: Dataset for a study examining the associations between maternal disgust sensitivity in early pregnancy and three years postpartum, and the child's health from birth to three years postpartum. The dataset comprises basic socio-demographic variables, data from the standardized questionnaires DS-R and TDDS, as well as variables related to birth outcomes and the child's health.
DOI: 10.6084/m9.figshare.31006969.v1
title: Maternal disgust and child health

description: Dataset for a study examining the associations between maternal disgust sensitivity in early pregnancy and three years postpartum, and the child's health from birth to three years postpartum. The dataset comprises basic socio-demographic variables, data from the standardized questionnaires DS-R and TDDS, as well as variables related to birth outcomes and the child's health.
DOI: 10.4121/cbf3b64c-190d-4b8a-9938-9af2e48a0249
title: Data underlying the research of Separation-sensing Etalon-lateral flow assays for selective glucose sensing

description: A separation–sensing Etalon@lateral flow assay (Etalon@LFA) integrates nafion-functionalized regenerated cellulose (RC) membranes for plasma separation with 3-aminophenylboronic acid (APBA)–functionalized microgel etalon architectures for optical glucose quantification. The device is constructed by spray-coating RC membranes with nafion to form a charge-selective separation layer, followed by the sensing element, a thermoresponsive poly(N-isopropylacrylamide) (pNIPAm) microgel-based etalon structure on RC membranes. Post-processing with APBA renders pNIPAm microgels responsive to glucose through reversible diol–boronate complexation. A single drop of blood-analogue sample, prepared via dispersion of polydimethylsiloxane (PDMS) particles in 4\% sodium dodecyl sulphate (SDS) surfactant solution, is applied to the nafion@RC membrane, enabling plasma separation that subsequently flows into the adjacent etalon@RC sensing region. Glucose binding induces microgel swelling, producing a quantifiable redshift in the corresponding reflectance spectra.
DOI: 10.5281/zenodo.17787362
title: BlEmoRe competition dataset

description: Complete information on the BlEmoRe Competition can be found on the website: https://www.blemore.tech/

Access Instructions

This dataset is under restricted access and is only available to participants of the BlEmoRe Competition.

To gain access, either use the Zenodo portal to request access or send a short email to Petri LaukkaPlease include the following:





A statement that you agree to the BlEmoRe Dataset Limited Use License.




Confirmation that you intend to participate in the competition.


Your full name and affiliation, such as your university. 


Dataset Description

The dataset includes a total of 3050 multimodal portrayals from a total of 58 actors and actresses of both basic and blended emotions recorded under controlled studio conditions with synchronized audio and video.



Training partition (train_01.zip - train_05.zip) includes 2456 portrayals from 47 actors and actresses.

Test partition (test.zip) includes 594 portrayals from a total of 11 actors and actresses.


Each actor or actress was instructed to express:

Basic Emotions





Anger, Disgust, Fear, Happiness, Sadness — portrayed in four different intensities (int1–int4)




Neutral — portrayed in four distinct but equivalent imagined situations (sit1–sit4). These situations are not ordered or ranked, and are included primarily to increase variability in neutral portrayals



Blended Emotions





All pairwise combinations of the five basic emotions (excluding neutral)




Portrayed in three blend ratios:





50/50: equal salience




70/30: first emotion dominant




30/70: second emotion dominant





Expressions were conveyed using facial expressions, body movement, and non-linguistic vocalizations (e.g., sighs, laughs). Participants were instructed to appear naturalistic and avoid exaggerated or stereotypical portrayals.

File Format & Naming Convention

The dataset is split into zip archives:



5 archives (train_01.zip - train_05.zip) with raw train .mov video files.

1 archive (test.zip) with raw test .mov video files.

1 archive (pre_extracted_train.zip) with pre-extracted features for the training files. 

1 archive (pre_extracted_test.zip) with pre-extracted features for the test files. 


Inside the train archives, each file follows the naming pattern:

Basic emotions



<video_id>_<emotion>_<intensity_or_situation>_<version>



Blended emotions



<video_id>_mix_<emotion_1>_<emotion_2>_<version>


 
Description:





<video_id>: unique identifier for the actor/actress




<emotion>: one of the five basic emotions




<intensity_or_situation>: int1–int4 for intensity, sit1–sit4 for neutral context




<version>: ver1, ver2, etc. (some portrayals have multiple valid takes)




mix: appears only in blended emotion filenames



Metadata

A metadata file for the training partition is provided, containing:





Filename




Emotion(s) and blend ratio




Actor/actress gender




Suggested validation fold assignment — each fold contains non-overlapping actors/actresses, and the folds are generally balanced by gender.
DOI: 10.4121/cbf3b64c-190d-4b8a-9938-9af2e48a0249.v1
title: Data underlying the research of Separation-sensing Etalon-lateral flow assays for selective glucose sensing

description: A separation–sensing Etalon@lateral flow assay (Etalon@LFA) integrates nafion-functionalized regenerated cellulose (RC) membranes for plasma separation with 3-aminophenylboronic acid (APBA)–functionalized microgel etalon architectures for optical glucose quantification. The device is constructed by spray-coating RC membranes with nafion to form a charge-selective separation layer, followed by the sensing element, a thermoresponsive poly(N-isopropylacrylamide) (pNIPAm) microgel-based etalon structure on RC membranes. Post-processing with APBA renders pNIPAm microgels responsive to glucose through reversible diol–boronate complexation. A single drop of blood-analogue sample, prepared via dispersion of polydimethylsiloxane (PDMS) particles in 4\% sodium dodecyl sulphate (SDS) surfactant solution, is applied to the nafion@RC membrane, enabling plasma separation that subsequently flows into the adjacent etalon@RC sensing region. Glucose binding induces microgel swelling, producing a quantifiable redshift in the corresponding reflectance spectra.
DOI: 10.5281/zenodo.15096941
title: BlEmoRe competition dataset

description: Complete information on the BlEmoRe Competition can be found on the website: https://www.blemore.tech/

Access Instructions

This dataset is under restricted access and is only available to participants of the BlEmoRe Competition.

To gain access, either use the Zenodo portal to request access or send a short email to Petri LaukkaPlease include the following:





A statement that you agree to the BlEmoRe Dataset Limited Use License.




Confirmation that you intend to participate in the competition.


Your full name and affiliation, such as your university. 


Dataset Description

The dataset includes a total of 3050 multimodal portrayals from a total of 58 actors and actresses of both basic and blended emotions recorded under controlled studio conditions with synchronized audio and video.



Training partition (train_01.zip - train_05.zip) includes 2456 portrayals from 47 actors and actresses.

Test partition (test.zip) includes 594 portrayals from a total of 11 actors and actresses.


Each actor or actress was instructed to express:

Basic Emotions





Anger, Disgust, Fear, Happiness, Sadness — portrayed in four different intensities (int1–int4)




Neutral — portrayed in four distinct but equivalent imagined situations (sit1–sit4). These situations are not ordered or ranked, and are included primarily to increase variability in neutral portrayals



Blended Emotions





All pairwise combinations of the five basic emotions (excluding neutral)




Portrayed in three blend ratios:





50/50: equal salience




70/30: first emotion dominant




30/70: second emotion dominant





Expressions were conveyed using facial expressions, body movement, and non-linguistic vocalizations (e.g., sighs, laughs). Participants were instructed to appear naturalistic and avoid exaggerated or stereotypical portrayals.

File Format & Naming Convention

The dataset is split into zip archives:



5 archives (train_01.zip - train_05.zip) with raw train .mov video files.

1 archive (test.zip) with raw test .mov video files.

1 archive (pre_extracted_train.zip) with pre-extracted features for the training files. 

1 archive (pre_extracted_test.zip) with pre-extracted features for the test files. 


Inside the train archives, each file follows the naming pattern:

Basic emotions



<video_id>_<emotion>_<intensity_or_situation>_<version>



Blended emotions



<video_id>_mix_<emotion_1>_<emotion_2>_<version>


 
Description:





<video_id>: unique identifier for the actor/actress




<emotion>: one of the five basic emotions




<intensity_or_situation>: int1–int4 for intensity, sit1–sit4 for neutral context




<version>: ver1, ver2, etc. (some portrayals have multiple valid takes)




mix: appears only in blended emotion filenames



Metadata

A metadata file for the training partition is provided, containing:





Filename




Emotion(s) and blend ratio




Actor/actress gender




Suggested validation fold assignment — each fold contains non-overlapping actors/actresses, and the folds are generally balanced by gender.