cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8j3qfw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is one of (IDN.34_1, IDN.35_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orcaella brevirostris (Owen, 1866)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027155-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/66f558c2a9526
title: Natural Resources Wales (NRW) Skomer Marine Conservation Zone plankton survey

description: Time series of consistent plankton samples taken using a Zooplankton net (200um mesh) from a single point on the North side of Skomer island. The net is hauled vertically from 40m and the methods used are designed to replicate the methods used by the Plymouth Marine Laboratory at the L4 plankton sampling station. Taxa are enumerated and recorded to various levels of taxonomic resolution depending on the group. Different taxonomists have been used throughout the time series but the data has been truncated to a standard species list. As of April 1st 2013 data is held and managed by Natural Resources Wales (NRW).
DOI: 10.15468/dl.fru7rh
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Institut Botanic de Barcelona (IBB, CSIC-Ajuntament de Barcelona), BC-Plantae",
 "Country is Croatia"
 ]
}

 The dataset includes 240 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027157-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf27pk
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Mollusca Collection",
 "Country is Croatia"
 ]
}

 The dataset includes 206 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027158-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sv2e7e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea princeps Boiss. & Heldr.",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027160-241024112534372/datasets/export for details.
DOI: 10.15468/dl.uevhp2
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.809059 -32.784706, 149.809059 -32.786952, 149.811305 -32.786952, 149.811305 -32.784706, 149.809059 -32.784706)), ((149.811305 -32.786952, 149.811305 -32.789197, 149.815796 -32.789197, 149.815796 -32.786952, 149.811305 -32.786952)), ((149.815796 -32.789197, 149.815796 -32.804918, 149.820288 -32.804918, 149.820288 -32.795935, 149.82478 -32.795935, 149.82478 -32.791443, 149.818042 -32.791443, 149.818042 -32.789197, 149.815796 -32.789197)))"
 ]
}

 The dataset includes 59 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056331-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ur4zh5
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((131.21841 -0.99691,131.38763 -1.06943,131.53958 -1.12122,131.97817 -1.08669,132.30625 -1.01073,132.42021 -0.88987,132.44093 -0.7034,132.45475 -0.49621,132.43057 -0.29937,132.32697 -0.29246,132.16121 -0.35462,131.94364 -0.51347,131.75715 -0.64125,131.43943 -0.66887,131.14244 -0.77592,131.21841 -0.99691))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lorius lory (Linnaeus, 1758)"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056333-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mzrqa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.928706 -32.786952, 148.928706 -32.795935, 148.933197 -32.795935, 148.933197 -32.786952, 148.928706 -32.786952))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056334-240626123714530/datasets/export for details.
DOI: 10.15468/dl.7vfevu
title: Occurrence Download

description: A dataset containing 38582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela putorius Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 38582 records from 621 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056335-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46sbxb
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.714735 -32.786952, 149.714735 -32.793689, 149.719227 -32.793689, 149.719227 -32.791443, 149.716981 -32.791443, 149.716981 -32.786952, 149.714735 -32.786952))"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056336-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13257326
title: Human head models and populational framework for simulating brain stimulations: part 1

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018



 

This dataset is split into 6 parts, you are currently on part 1. All parts are linked below:

Dataset_1: https://zenodo.org/records/13259679

Dataset_2: https://zenodo.org/records/13259747

Dataset_3: https://zenodo.org/records/13259943

Dataset_4: https://zenodo.org/records/13260068

Dataset_5: https://zenodo.org/records/13259599

Dataset_6: https://zenodo.org/records/13260208
DOI: 10.5281/zenodo.13257327
title: Human head models and populational framework for simulating brain stimulations: part 1

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018
DOI: 10.34740/kaggle/dsv/9132444
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.5281/zenodo.13259054
title: Human head models and populational framework for simulating brain stimulations: part 4

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018



 

This dataset is split into 6 parts, you are currently on part 4. All parts are linked below:

Dataset_1: https://zenodo.org/records/13259679

Dataset_2: https://zenodo.org/records/13259747

Dataset_3: https://zenodo.org/records/13259943

Dataset_4: https://zenodo.org/records/13260068

Dataset_5: https://zenodo.org/records/13259599

Dataset_6: https://zenodo.org/records/13260208
DOI: 10.5281/zenodo.13259055
title: Human head models and populational framework for simulating brain stimulations: part 4

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018
DOI: 10.5281/zenodo.13260207
title: Human head models and populational framework for simulating brain stimulations: part 6

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018



 

This dataset is split into 6 parts, you are currently on part 6. All parts are linked below:

Dataset_1: https://zenodo.org/records/13259679

Dataset_2: https://zenodo.org/records/13259747

Dataset_3: https://zenodo.org/records/13259943

Dataset_4: https://zenodo.org/records/13260068

Dataset_5: https://zenodo.org/records/13259599

Dataset_6: https://zenodo.org/records/13260208
DOI: 10.5281/zenodo.13258423
title: Human head models and populational framework for simulating brain stimulations: part 3

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018



 

This dataset is split into 6 parts, you are currently on part 3. All parts are linked below:

Dataset_1: https://zenodo.org/records/13259679

Dataset_2: https://zenodo.org/records/13259747

Dataset_3: https://zenodo.org/records/13259943

Dataset_4: https://zenodo.org/records/13260068

Dataset_5: https://zenodo.org/records/13259599

Dataset_6: https://zenodo.org/records/13260208
DOI: 10.5281/zenodo.13258424
title: Human head models and populational framework for simulating brain stimulations: part 3

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018
DOI: 10.15468/dl.cgbg3v
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.733321 -32.78246, 148.735567 -32.78246, 148.735567 -32.775723, 148.733321 -32.775723, 148.733321 -32.78246)), ((148.733321 -32.78246, 148.722092 -32.78246, 148.722092 -32.786952, 148.726584 -32.786952, 148.726584 -32.789197, 148.722092 -32.789197, 148.722092 -32.791443, 148.719846 -32.791443, 148.719846 -32.795935, 148.722092 -32.795935, 148.722092 -32.798181, 148.726584 -32.798181, 148.726584 -32.791443, 148.72883 -32.791443, 148.72883 -32.789197, 148.733321 -32.789197, 148.733321 -32.78246)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056338-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13259598
title: Human head models and populational framework for simulating brain stimulations: part 5

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018



 

This dataset is split into 6 parts, you are currently on part 5. All parts are linked below:

Dataset_1: https://zenodo.org/records/13259679

Dataset_2: https://zenodo.org/records/13259747

Dataset_3: https://zenodo.org/records/13259943

Dataset_4: https://zenodo.org/records/13260068

Dataset_5: https://zenodo.org/records/13259599

Dataset_6: https://zenodo.org/records/13260208
DOI: 10.5523/bris.4yp26osdsbvt2batvznenkhvc
title: NQS BHM Numerics Data

description: Scripts and data for generating the figures displayed in our paper "Specialising Neural-network Quantum States for the Bose Hubbard Model" M.Y. Pei and S.R. Clark, arXiv:2402.15424.
DOI: 10.5281/zenodo.13257815
title: Human head models and populational framework for simulating brain stimulations: part 2

description: We share an organized computational model data collection for noninvasive brain stimulation (NIBS) modeling. This dataset includes a subset of the collection's 100 preprocessed, quality-assured, realistic head models based on imaging data from the Human Connectome Project (HCP) s1200 release (Van Essen et al., 2012). We provide verified finite-element meshes, underlying anatomical images, tissue segmentations, standard space co-registrations, quality metrics, and lead-field matrices. We suggest individual tissue conductivity values for each head model from a range of biologically plausible values (McCann et al., 2019). Additionally, we provide straightforward computer code for several use cases of the current dataset. 

 





McCann, H., Pisano, G., & Beltrachini, L. (2019). Variation in Reported Human Head Tissue Electrical Conductivity Values. Brain Topography, 32(5), 825–858. https://doi.org/10.1007/s10548-019-00710-2




Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., Della Penna, S., Feinberg, D., Glasser, M. F., Harel, N., Heath, A. C., Larson-Prior, L., Marcus, D., Michalareas, G., Moeller, S., … WU-Minn HCP Consortium. (2012). The Human Connectome Project: A data acquisition perspective. NeuroImage, 62(4), 2222–2231. https://doi.org/10.1016/j.neuroimage.2012.02.018



 

This dataset is split into 6 parts, you are currently on part 2. All parts are linked below:

Dataset_1: https://zenodo.org/records/13259679

Dataset_2: https://zenodo.org/records/13259747

Dataset_3: https://zenodo.org/records/13259943

Dataset_4: https://zenodo.org/records/13260068

Dataset_5: https://zenodo.org/records/13259599

Dataset_6: https://zenodo.org/records/13260208