cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29983828
title: Left Knee fNIRS MI Dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets:</b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.6084/m9.figshare.29983828.v1
title: Left Knee fNIRS MI Dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets:</b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.6084/m9.figshare.29983615
title: Right Ankle fNIRS MI Dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets:</b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.6084/m9.figshare.29983615.v1
title: Right Ankle fNIRS MI Dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets:</b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.6084/m9.figshare.29979727
title: Left Ankle fNIRS MI Dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets:</b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.6084/m9.figshare.29979727.v1
title: Left Ankle fNIRS MI Dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets:</b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.17026/ar/qwmk9a
title: PAN-00180809 - wall fragment (terra sigillata vessel)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00180809&lt;/p&gt;
description: Modified: 2025-10-13T10:57:25+02:00
DOI: 10.6084/m9.figshare.29979421
title: Both Ankle fNIRS MI dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets:</b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.6084/m9.figshare.29979421.v1
title: Both Ankle fNIRS MI dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets:</b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.15468/dl.rdsrd9
title: Occurrence Download

description: A dataset containing 299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.HKG",
 "OccurrenceStatus is Present",
 "TaxonKey is Asclepias curassavica"
 ]
}

 The dataset includes 299 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039747-251120083545085/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.29979529
title: Both Knees fNIRS MI dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets: </b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.6084/m9.figshare.29979529.v1
title: Both Knees fNIRS MI dataset

description: <br>This dataset contains functional near-infrared spectroscopy (fNIRS) signals recorded during motor imagery (MI) tasks of lower limb movements. Data were collected from 22 healthy participants using the NIRSport2 system (NIRx Medical Technologies, Germany) at a sampling frequency of 10.1725 Hz. Each recording session lasted 180 seconds and included motor imagery of ankle dorsiflexion and plantarflexion (left, right, and both) as well as knee flexion and extension (left, right, and both).The dataset includes:<br><b>Raw data:</b> Original <code>.nirs</code> files for each participant.<br><b>Preprocessed data:</b> Butterworth bandpass-filtered signals (0.01–0.3 Hz), provided in Excel files for each participant.<br>This dataset can be used to explore neural signatures of lower limb motor imagery, develop brain-computer interface (BCI) algorithms, and investigate cortical hemodynamics associated with motor planning and control.<br><br><b>Citaion Instructions / Notes:</b>For more details read mentioned articel below and cite this original data paper of this project published in Frontiers in Robotics and AI, when using in studies.<br>https://doi.org/10.3389/frobt.2025.1695169<br><br><b>The project includes following datasets: </b>Right Knee fNIRS MI Dataset 10.6084/m9.figshare.29983768Left Knee fNIRS MI Dataset 10.6084/m9.figshare.29983828Right Ankle fNIRS MI Dataset 10.6084/m9.figshare.29983615Left Ankle fNIRS MI Dataset 10.6084/m9.figshare.29979727Both Knees fNIRS MI dataset 10.6084/m9.figshare.29979529Both Ankle fNIRS MI dataset 10.6084/m9.figshare.29979421
DOI: 10.15468/dl.wpnews
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syllis ferrani",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039748-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwc8yv
title: Occurrence Download

description: A dataset containing 350314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Ictinia mississippiensis)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 350314 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039728-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17862356
title: Base de datos cuantitativa del Diagnóstico crítico de la violencia basada en género contra estudiantes universitarios en cuatro regiones de Ecuador: sierra norte, sierra centro, sierra sur y costa, 2024

description: Conjunto de datos de la encuesta sobre violencia basada en género hacia estudiantes en instituciones de educación superior del Ecuador. La información corresponde a la Escuela Superior Politécnica del Chimborazo, Universidad Católica de Santiago de Guayaquil, Universidad Politécnica Salesiana, Universidad Nacional de Loja y Universidad Central del Ecuador. Instituciones que forman parte del consorcio de universidades vinculado al proyecto “Problemas críticos, oportunidades y buenas prácticas para prevenir y responder a la violencia basada en género (VBG) contra estudiantes en instituciones de educación superior de Ecuador (IES)”, formalizado con el número EC2023SIN377A101 mediante acuerdo entre VLIRUOS, KU Leuven y la Universidad Andina Simón Bolívar, el 3 de julio de 2023.

Este estudio cuenta con la aprobación ética emitida por el Comité de Ética en Investigación en Seres Humanos de la Escuela Superior Politécnica del Chimborazo (CEISH-ESPOCH) mediante la carta Nro. AD-09-CEISH-ESPOCH-2024, fechada el 26 de junio de 2024.
DOI: 10.15468/dl.e9x8zw
title: Occurrence Download

description: A dataset containing 2759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syllis garciai",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2759 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039749-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/xq1j6g
title: PAN-00161207 - terra sigillata bowl type Drag. 29

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00161207&lt;/p&gt;
description: Modified: 2025-11-03T11:16:13+01:00
DOI: 10.15468/dl.qwpkv5
title: Occurrence Download

description: A dataset containing 100612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-49.31472 -25.32493, -49.3041 -25.32493, -49.30622 -25.33334, -49.2956 -25.33334, -49.30197 -25.35855, -49.3126 -25.35855, -49.31472 -25.36696, -49.32535 -25.36696, -49.36784 -25.36696, -49.37211 -25.38377, -49.36148 -25.38377, -49.37643 -25.44263, -49.38705 -25.44263, -49.38919 -25.45104, -49.39982 -25.45104, -49.40196 -25.45945, -49.35945 -25.45945, -49.36159 -25.46785, -49.35096 -25.46785, -49.36167 -25.5099, -49.35104 -25.5099, -49.35319 -25.51831, -49.34255 -25.51831, -49.35114 -25.55196, -49.34051 -25.55196, -49.35126 -25.59402, -49.34063 -25.59402, -49.34278 -25.60243, -49.33214 -25.60243, -49.32999 -25.59402, -49.31935 -25.59402, -49.31505 -25.57719, -49.30442 -25.57719, -49.30227 -25.56878, -49.29163 -25.56878, -49.281 -25.56878, -49.27885 -25.56037, -49.25758 -25.56037, -49.24695 -25.56037, -49.24266 -25.54355, -49.23203 -25.54355, -49.2256 -25.51831, -49.21497 -25.51831, -49.21069 -25.50149, -49.20006 -25.50149, -49.19793 -25.49308, -49.1873 -25.49308, -49.18516 -25.48467, -49.1639 -25.48467, -49.16604 -25.49308, -49.14477 -25.49308, -49.14691 -25.50149, -49.13628 -25.50149, -49.13201 -25.48467, -49.12138 -25.48467, -49.11925 -25.47626, -49.12988 -25.47626, -49.12349 -25.45104, -49.13412 -25.45104, -49.13199 -25.44263, -49.14262 -25.44263, -49.13624 -25.4174, -49.14686 -25.4174, -49.14474 -25.409, -49.15536 -25.409, -49.15324 -25.40059, -49.16386 -25.40059, -49.15537 -25.36696, -49.14475 -25.36696, -49.14263 -25.35855, -49.15325 -25.35855, -49.14901 -25.34174, -49.15963 -25.34174, -49.15752 -25.33334, -49.18938 -25.33334, -49.1915 -25.34174, -49.21275 -25.34174, -49.21062 -25.33334, -49.22125 -25.33334, -49.22337 -25.34174, -49.24461 -25.34174, -49.24249 -25.33334, -49.26373 -25.33334, -49.26161 -25.32493, -49.27223 -25.32493, -49.26799 -25.30812, -49.31047 -25.30812, -49.31472 -25.32493))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 100612 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039735-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/ihkq83
title: PAN-00077771 - asymmetrical buckle with simple integral bar

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00077771&lt;/p&gt;
description: Modified: 2025-10-28T11:52:51+01:00
DOI: 10.15468/dl.zzeejw
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syllis gerlachi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 222 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039752-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.