cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0213280.10fu
title: SH0213280.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.vdudub
title: Occurrence Download

description: A dataset containing 34453278 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 34453278 records from 3687 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000839-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6njde
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbarea vulgaris",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056077-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17284520
title: People's Stories on Antibiotic Consumption - MAKEAWARE! Story Collection Dataset

description: Data originates from the Story Collection Tool, an interactive web interface designed to gather personal stories and reflections related to antibiotic consumption. The tool invites contributors—both former workshop participants and online visitors—to describe their experiences with antibiotic prescription and use by responding to a set of guiding questions. These prompts are structured to balance consistency in data collection with the openness of personal storytelling, encouraging contributors to share content they find meaningful.

Each record in the dataset corresponds to one individual contribution, while each field represents one of the original prompts. Inputs are compiled and visualised in a databook, where the organisation and formatting of the original text are preserved to support readability and facilitate early-stage interpretation of tone and emphasis.

The Story Collection Tool remains publicly accessible at https://spearhead-amr.github.io/makeaware/stories.html  and continues to gather new submissions.This dataset includes all contributions collected up to 19 August 2025 by the MAKEAWARE! team within the SPEARHEAD project at the Institute of Design (IDe), SUPSI.

The Story Collection Tool is described in: Ginevra Terenghi, Antonella Autuori, Serena Cangiano and Marco Lurati. 2025. Structuring the Collection of Unstructured Data: Designing Digital Interfaces for Healthcare Experiences. In CHItaly 2025: 16th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2025), October 06-10, 2025, Salerno, Italy. ACM, New York, NY, USA, 4 Pages. https://doi.org/10.1145/3750069.3755969
DOI: 10.15468/dl.xfvuqv
title: Occurrence Download

description: A dataset containing 22852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbarea vulgaris",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22852 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056078-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmqvg3
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gleditsia australis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 76 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056080-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gspbc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophiorrhiza caespitulosa"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056081-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17608/k6.auckland.28701986
title: Assessing the variability and vulnerability of carbon function in coastal soft sediment ecosystems to inform protection

description: Coastal soft sediment ecosystems can sequester and process large quantities of carbon, making these environments important in mitigating the impacts of climate change. However, demersal fishing methods can resuspend sediment releasing CO<sub>2</sub> and in the longer term change the physical, biological and biogeochemical characteristics of the seafloor. Within the global response to climate change, there is a need for tools to support the identification of sites within our coastal zones that can maximise carbon storage, and where marine protection will be most beneficial for both blue carbon budgets and biodiversity recovery. We assess multiple aspects of carbon cycling in coastal soft sediment environments to explore the drivers of function and their vulnerability to seafloor disturbance. This information is interpreted to demonstrate how it can support decision making for enhancing blue carbon and marine protection for climate change mitigation. We found carbon cycle functionality is driven across multiple gradients, and sites with large infauna were more vulnerable to resuspension induced CO<sub>2</sub> release. The results demonstrate that by accounting for environmental variability and complexity in marine protection, we have the opportunity to enhance multiple aspects of carbon cycling, protect biodiversity, and manage the vulnerability of sites to resuspension induced CO<sub>2</sub> release.
DOI: 10.17608/k6.auckland.28701986.v1
title: Assessing the variability and vulnerability of carbon function in coastal soft sediment ecosystems to inform protection

description: Coastal soft sediment ecosystems can sequester and process large quantities of carbon, making these environments important in mitigating the impacts of climate change. However, demersal fishing methods can resuspend sediment releasing CO<sub>2</sub> and in the longer term change the physical, biological and biogeochemical characteristics of the seafloor. Within the global response to climate change, there is a need for tools to support the identification of sites within our coastal zones that can maximise carbon storage, and where marine protection will be most beneficial for both blue carbon budgets and biodiversity recovery. We assess multiple aspects of carbon cycling in coastal soft sediment environments to explore the drivers of function and their vulnerability to seafloor disturbance. This information is interpreted to demonstrate how it can support decision making for enhancing blue carbon and marine protection for climate change mitigation. We found carbon cycle functionality is driven across multiple gradients, and sites with large infauna were more vulnerable to resuspension induced CO<sub>2</sub> release. The results demonstrate that by accounting for environmental variability and complexity in marine protection, we have the opportunity to enhance multiple aspects of carbon cycling, protect biodiversity, and manage the vulnerability of sites to resuspension induced CO<sub>2</sub> release.
DOI: 10.5281/zenodo.17284519
title: People's Stories on Antibiotic Consumption - MAKEAWARE! Story Collection Dataset

description: Data originates from the Story Collection Tool, an interactive web interface designed to gather personal stories and reflections related to antibiotic consumption. The tool invites contributors—both former workshop participants and online visitors—to describe their experiences with antibiotic prescription and use by responding to a set of guiding questions. These prompts are structured to balance consistency in data collection with the openness of personal storytelling, encouraging contributors to share content they find meaningful.

Each record in the dataset corresponds to one individual contribution, while each field represents one of the original prompts. Inputs are compiled and visualised in a databook, where the organisation and formatting of the original text are preserved to support readability and facilitate early-stage interpretation of tone and emphasis.

The Story Collection Tool remains publicly accessible at https://spearhead-amr.github.io/makeaware/stories.html  and continues to gather new submissions.This dataset includes all contributions collected up to 19 August 2025 by the MAKEAWARE! team within the SPEARHEAD project at the Institute of Design (IDe), SUPSI.

The Story Collection Tool is described in: Ginevra Terenghi, Antonella Autuori, Serena Cangiano and Marco Lurati. 2025. Structuring the Collection of Unstructured Data: Designing Digital Interfaces for Healthcare Experiences. In CHItaly 2025: 16th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2025), October 06-10, 2025, Salerno, Italy. ACM, New York, NY, USA, 4 Pages. https://doi.org/10.1145/3750069.3755969
DOI: 10.15468/dl.zxmda4
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophiorrhiza camiguinensis"
 ]
}

 The dataset includes 18 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056082-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5yvxvy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardamine flexuosa",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056083-250920141307145/datasets/export for details.
DOI: 10.15468/dl.fw4xdv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardamine flexuosa",
 "Country is Lao People’s Democratic Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056084-250920141307145/datasets/export for details.
DOI: 10.15468/dl.h4j39m
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardamine flexuosa",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056085-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxtjch
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gleditsia fera)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 66 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056086-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbqm9y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardamine flexuosa",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056088-250920141307145/datasets/export for details.
DOI: 10.15468/dl.gbx2nm
title: Occurrence Download

description: A dataset listing the 15353 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 3c5e4331-7f2f-4a8d-aa56-81ece7014fc8",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 15353 records were derived from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056079-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udqwq3
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Populus cathayana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 518 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056089-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcdr43
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atriplex prostrata",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056090-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17017198
title: Lappeenranta demonstrator stormwater quality monitoring data Baseline above Koulukatu NBS - September 2024 to September 2025

description: Stormwater quality monitoring data. Baseline above Koulukatu NBS. September 2024 to September 2025.  Data collection location: Koulukatu 29-31, Lappeenranta, Finland.

KPI 20. 

Equipment used: 

Water level sensor: Masinotek LV800

Turbidity sensor: Masinotek WQS-T 

Conductivity sensor: Masinotek WQS-EC.

This dataset is real-time monitoring data from a stormwater sewer manhole. The manual samples taken from the same manhole between November 2024 and April 2025 (file name 'Lappeenranta demonstrator stormwater quality monitoring data. Manual samples. Baseline above Koulukatu NBS') complete this dataset and have been used to calibrate the sensors.
DOI: 10.5281/zenodo.17120312
title: Lappeenranta demonstrator stormwater quality monitoring data Baseline above Koulukatu NBS - September 2024 to September 2025

description: Stormwater quality monitoring data. Baseline above Koulukatu NBS. September 2024 to September 2025.  Data collection location: Koulukatu 29-31, Lappeenranta, Finland.

KPI 20. 

Equipment used: 

Water level sensor: Masinotek LV800

Turbidity sensor: Masinotek WQS-T 

Conductivity sensor: Masinotek WQS-EC.

This dataset is real-time monitoring data from a stormwater sewer manhole. The manual samples taken from the same manhole between November 2024 and April 2025 (file name 'Lappeenranta demonstrator stormwater quality monitoring data. Manual samples. Baseline above Koulukatu NBS') complete this dataset and have been used to calibrate the sensors.
DOI: 10.5281/zenodo.17284531
title: Crate usage patterns in domestic settings and dog behaviour: dataset

description: This dataset was collected as part of a study investigating the effect of crate use in domestic environment on dog behaviour. It includes variables describing crate-related management practices (e.g., average hours per day spent in the crate, percentage of life spent crated, caregiver motivations) and behavioural change indicators derived from caregivers’ reports.

The data were used to examine how different crate-use patterns may predict variations in behavioural outcomes, with particular attention to emotional and welfare implications.
DOI: 10.5281/zenodo.17284532
title: Crate usage patterns in domestic settings and dog behaviour: dataset

description: This dataset was collected as part of a study investigating the effect of crate use in domestic environment on dog behaviour. It includes variables describing crate-related management practices (e.g., average hours per day spent in the crate, percentage of life spent crated, caregiver motivations) and behavioural change indicators derived from caregivers’ reports.

The data were used to examine how different crate-use patterns may predict variations in behavioural outcomes, with particular attention to emotional and welfare implications.
DOI: 10.6084/m9.figshare.30293899
title: <b>Temporal and neural dynamics of racial bias in pain empathy: A systematic review of event-related potentials</b>

description: This study presents a systematic review of event-related potential (ERP) research examining the temporal and neural dynamics of racial bias in pain empathy. It synthesizes findings from multiple experiments to identify consistent ERP components and time windows associated with differential empathic responses to pain across racial groups. Methodological variations, including task design and participant demographics, are critically evaluated to clarify sources of heterogeneity in outcomes. The results provide an integrated perspective on how implicit racial bias shapes the neural time course of empathy for pain. This work aims to guide future research and interventions that address bias in social and clinical contexts.
DOI: 10.6084/m9.figshare.30293899.v2
title: <b>Temporal and neural dynamics of racial bias in pain empathy: A systematic review of event-related potentials</b>

description: This study presents a systematic review of event-related potential (ERP) research examining the temporal and neural dynamics of racial bias in pain empathy. It synthesizes findings from multiple experiments to identify consistent ERP components and time windows associated with differential empathic responses to pain across racial groups. Methodological variations, including task design and participant demographics, are critically evaluated to clarify sources of heterogeneity in outcomes. The results provide an integrated perspective on how implicit racial bias shapes the neural time course of empathy for pain. This work aims to guide future research and interventions that address bias in social and clinical contexts.
DOI: 10.6084/m9.figshare.30293899.v1
title: <b>Temporal and neural dynamics of racial bias in pain empathy: A systematic review of event-related potentials</b>

description: This study presents a systematic review of event-related potential (ERP) research examining the temporal and neural dynamics of racial bias in pain empathy. It synthesizes findings from multiple experiments to identify consistent ERP components and time windows associated with differential empathic responses to pain across racial groups. Methodological variations, including task design and participant demographics, are critically evaluated to clarify sources of heterogeneity in outcomes. The results provide an integrated perspective on how implicit racial bias shapes the neural time course of empathy for pain. This work aims to guide future research and interventions that address bias in social and clinical contexts.
DOI: 10.5281/zenodo.17224929
title: LFDD Extended: Subjective Quality Assessment under Light Field Display Viewing

description: The presented dataset, LFDD Extended: Subjective Quality Assessment under Light Field Display Viewing, provides new subjective quality scores for a set of light field images sourced mainly from the original LFDD dataset and from LFQD.

The primary distinction is that this subjective evaluation was conducted using a Light Field Display, rather than a traditional 2D display. This provides an assessment of quality under full autostereoscopic viewing conditions.

The quality assessment employed a Multi-Stage Double-Stimulus Impairment Scale (MS-DSIS) methodology, adapted from ITU-R BT.500 recommendations. For each test sequence, subjects were presented with an unimpaired reference and its distorted counterpart. The evaluation unfolded in three sequential stages to ensure granular data collection:



Detection of Difference: Participants indicated if any difference was perceived between the two stimuli.

Assessment of Annoyance: If a difference was detected, participants determined if the observed difference was in any way annoying.

Severity of Annoyance: If the distortion was deemed annoying, participants indicated the severity of that annoyance.


The presented dataset includes raw scores, as well as Mean Opinion Scores (MOS). The repository also includes code used in the evaluation (both for data acquisition and data analysis).
DOI: 10.5281/zenodo.17224930
title: LFDD Extended: Subjective Quality Assessment under Light Field Display Viewing

description: The presented dataset, LFDD Extended: Subjective Quality Assessment under Light Field Display Viewing, provides new subjective quality scores for a set of light field images sourced mainly from the original LFDD dataset and from LFQD.

The primary distinction is that this subjective evaluation was conducted using a Light Field Display, rather than a traditional 2D display. This provides an assessment of quality under full autostereoscopic viewing conditions.

The quality assessment employed a Multi-Stage Double-Stimulus Impairment Scale (MS-DSIS) methodology, adapted from ITU-R BT.500 recommendations. For each test sequence, subjects were presented with an unimpaired reference and its distorted counterpart. The evaluation unfolded in three sequential stages to ensure granular data collection:



Detection of Difference: Participants indicated if any difference was perceived between the two stimuli.

Assessment of Annoyance: If a difference was detected, participants determined if the observed difference was in any way annoying.

Severity of Annoyance: If the distortion was deemed annoying, participants indicated the severity of that annoyance.


The presented dataset includes raw scores, as well as Mean Opinion Scores (MOS). The repository also includes code used in the evaluation (both for data acquisition and data analysis).
DOI: 10.5281/zenodo.17278270
title: LFDD Flicker: Subjective Artifact Visibility under Light Field Display Viewing

description: The presented dataset, LFDD Flicker: Subjective Artifact Visibility under Light Field Display Viewing, provides new subjective artifact visibility scores for a set of light field images sourced mainly from the original LFDD dataset and from LFQD.

This extension of LFDD is focused on the measurement of the visibility of artifacts. The individual stimuli were viewed on a Light Field Display.

The quality assessment employed a flicker test.

The presented dataset includes raw scores, as well as (percentage) visibility scores.