cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13969130
title: EEG Dataset of 38 Infants (Aged 5-13 Months) Viewing Human and Monkey Faces (Two Identities Each)
title: Electrophysiological decoding captures the temporal trajectory of face categorization in infants

description: EEG Dataset of 38 Infants (Aged 5-13 Months) Viewing Human and Monkey Faces (Two Identities Each)

Roman Kessler & Michael A. Skeide

Raw data set used in the study titled: 

Electrophysiological decoding captures the temporal trajectory of face categorization in infants

Roman Kessler & Michael A. Skeide

 

Processing scripts related to the study, cleaned raw data, demographical information, and processed data can be found at:

https://github.com/SkeideLab/PRAWN

 

When using this data, please cite:



Kessler, R., & Skeide, M. A. (2024). Electrophysiological decoding captures the temporal trajectory of face categorization in infants. bioRxiv. https://doi.org/10.1101/2024.10.07.617144

Kessler, R., & Skeide, M. A. (2024). EEG Dataset of 38 Infants (Aged 5-11 Months) Viewing Human and Monkey Faces (Two Identities Each) (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13881206


 

The dataset contains raw data of 38 infants, that were invited 1-2 times each for an EEG experiment showing human (2 individuals) or monkey (2 individuals) faces. See Kessler & Skeide 2024 (bioRxiv) for more information.

The preprocessed and all downstream data is located in the GitHub repository.

The raw_eeg.zip file is the raw data as provided from the EEG system. Sometimes the session is comprised of several raw eeg files, that are concatenated and cleaned of artifacts from technical failures.

The raw_adult_pilots.zip contains the raw data of two adult participants.
DOI: 10.15468/dl.dycpt4
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Portugal",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Pl@ntNet observations, Occurrences from the Alien CSI Bioblitz: citizen science to engage society in invasive species monitoring, Biodiversity4all Research-Grade Observations, Observation.org, Nature data from around the World)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, da86174a-a605-43a4-a5e8-53d484152cd3, 1cd669d0-80ea-11de-a9d0-f1765f95f18b, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, e3aa237e-53c8-4c46-93ef-77a18bb9c80e)",
 "TaxonKey is Lonicera japonica Thunb.",
 "Year 2019-2024"
 ]
}

 The dataset includes 190 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016442-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q9p35q
title: Occurrence Download

description: A dataset containing 386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.71769 23.58206,57.39375 23.58206,57.39375 66.00846,-48.71769 66.00846,-48.71769 23.58206))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasytes croceipes Kiesenwetter, 1866"
 ]
}

 The dataset includes 386 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016445-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15501987
title: CEGIS_Land Cover Map 2023

description: Land Cover Map 2023
DOI: 10.5281/zenodo.15501988
title: CEGIS_Land Cover Map 2023

description: Land Cover Map 2023
DOI: 10.15468/dl.s4nn8x
title: Occurrence Download

description: A dataset containing 87587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eurithia anthophila (Robineau-Desvoidy, 1830), Eudasyphora cyanicolor (Zetterstedt, 1845), Diplazon pectoratorius (Thunberg, 1822), Sciara hemerobioides (Scopoli, 1763), Epuraea aestiva (Linnaeus, 1758), Azelia triquetra (Wiedemann, 1817), Lophosceles cinereiventris (Zetterstedt, 1845), Tricimba cincta (Meigen, 1830), Chlorops hypostigma Meigen, 1830, Hercostomus germanus (Wiedemann, 1817), Fannia fuscula (Fallén, 1825), Dolichovespula norwegica (Fabricius, 1781), Fannia rondanii (Strobl, 1893), Phaonia exoleta (Meigen, 1826), Billaea irrorata (Meigen, 1826), Limnophora riparia (Fallén, 1824), Parhelophilus versicolor (Fabricius, 1794), Xylota abiens Meigen, 1822, Bombus sporadicus Nylander, 1848, Cheilosia scutellata (Fallén, 1817), Colletes floralis Eversmann, 1852, Sphecodes puncticeps Thomson, 1870, Cheilosia chrysocoma (Meigen, 1822), Epistrophe diaphana (Zetterstedt, 1843), Sericomyia superbiens (Müller, 1776), Pipiza fenestrata Meigen, 1822, Pipiza festiva Meigen, 1822, Pipizella virens (Fabricius, 1805), Sphegina elegans Schummel, 1841, Sphegina verecunda Collin, 1937, Cheilosia longula (Zetterstedt, 1838), Andrena praecox (Scopoli, 1763), Lejogaster metallina (Fabricius, 1777), Chrysotoxum arcuatum (Linnaeus, 1758), Pipiza lugubris (Fabricius, 1775), Triglyphus primus Loew, 1840, Cyclocephala atricapilla Mannerheim, 1828, Cyclocephala vestita Höhne, 1923, Liotrigona bottegoi (Magretti, 1895), Liotrigona madecassa (Saussure, 1890), Hypotrigona ruspolii (Magretti, 1898), Euphoria subtomentosa (Dejean, 1836), Doberes hewitsonius (Reakirt, 1866), Deltaspis rubriventris Bates, 1880, Aellopos clavipes Rothschild & Jordan, 1903, Ancyloxypha arene (Edwards, 1871), Ascia monuste monuste, Phoeniostacta haematobasis Hampson, 1898, Stratiomys constricta Walker, 1860, Polistes versicolor (Olivier, 1791))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 87587 records from 612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016444-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p23xq4
title: Occurrence Download

description: A dataset containing 428960 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NEON ticks sampled using drag cloths and tick pathogen status"
 ]
}

 The dataset includes 428960 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016447-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15486228
title: LAMMPS data file and Z1+ code calculation results

description: This is a summary of the Z1+code calculation results for our entire silicone rubber system (from A to E) in HTML format
DOI: 10.5281/zenodo.15486229
title: LAMMPS data file and Z1+ code calculation results

description: This is a summary of the Z1+code calculation results for our entire silicone rubber system (from A to E) in HTML format
DOI: 10.15468/dl.68erzx
title: Occurrence Download

description: A dataset containing 78333 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litopenaeus setiferus (Linnaeus, 1767)"
 ]
}

 The dataset includes 78333 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016449-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aayx3d
title: Occurrence Download

description: A dataset containing 3663 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Julbernardia globiflora (Benth.) Troupin"
 ]
}

 The dataset includes 3663 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016452-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ru9br
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "Country is Portugal",
 "DatasetKey is one of (EDP Baixo Sabor: Fishes – Ecological Monitoring and Complementary Measures Programs [2015-2020], Biodiversity4all Research-Grade Observations, Movhera Baixo Sabor: Fishes – Ecological and Compensatory Measures Monitoring Programs: exploration phase [2021-2023], Movhera - Elétricas do Norte, S.A. Foz-Tua: Fishes – Ecological Monitoring Program [2021-2023], Observation.org, Nature data from around the World, LTER Baixo Sabor: Long term monitoring of freshwater fish - Sabor watershed [2012 - 2020])",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (February, March, April, May, June, July, August, September, October, November, December, January)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (e5150835-f502-424c-b470-24dd496b1b18, e3aa237e-53c8-4c46-93ef-77a18bb9c80e, cadfe257-a0d1-4106-9f9f-77ab1dcf1349, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 37560003-ae75-43c3-95aa-48c98797aa2a)",
 "TaxonKey is Micropterus salmoides (Lacepède, 1802)",
 "Year 2019-2024"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016450-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11930955
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.4yxnam
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND.16_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Tyto alba (Scopoli, 1769)",
 "Year is 2021"
 ]
}

 The dataset includes 456 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016446-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h95hsw
title: Occurrence Download

description: A dataset containing 456 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND.16_1",
 "TaxonKey is Tyto alba (Scopoli, 1769)",
 "Year is 2020"
 ]
}

 The dataset includes 456 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016443-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15479158
title: Automated Extraction of Local Variables from Complex Condition Expressions
DOI: 10.15468/dl.87svk2
title: Occurrence Download

description: A dataset containing 417768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oscinimorpha longirostris (Loew, 1858), Phania curvicauda (Fallén, 1820), Olibrus bicolor (Fabricius, 1792), Lasius niger (Linnaeus, 1758), Tenthredo merceti (Konow, 1905), Prionyx thomae (Fabricius, 1775), Lasioglossum limbellum (Morawitz, 1876), Ashmeadiella aridula astragali Michener, 1939, Hylaeus conspicuus (Metz, 1911), Hydromya dorsalis (Fabricius, 1775), Pyrellia vivida Robineau-Desvoidy, 1830, Fucellia tergina (Zetterstedt, 1845), Bombylius cinerascens Mikan, 1796, Parasyrphus macularis (Zetterstedt, 1843), Seladonia gemmea (Dours, 1872), Colletes collaris Dours, 1872, Lydella thompsoni Herting, 1959, Hemipenthes morio (Linnaeus, 1758), Megachile sicula (Rossi, 1792), Hilara quadrivittata Meigen, 1822, Dolerus aeneus Hartig, 1837, Azelia aterrima (Meigen, 1826), Emmesomyia grisea (Robineau-Desvoidy, 1830), Phaonia valida (Harris, 1780), Chrestosema antennale Kieffer, 1904, Pimpla contemplator (Muller, 1776), Charanyca trigrammica (Hufnagel, 1766), Dolichopus ungulatus (Linnaeus, 1758), Tenthredo maculata Geoffroy, 1785, Archarius pyrrhoceras (T.Marsham, 1802), Platycheirus nielseni Vockeroth, 1990, Phaenocarpa ruficeps (Nees, 1812), Figites ictus Fergusson, 1986, Oscinella cariciphila Collin, 1946, Rhamphomyia umbripennis Meigen, 1822, Eusphalerum sorbi (Gyllenhal, 1810), Buathra laborator (Thunberg, 1822), Empis albohirta (Collin, 1926), Kleidotoma psiloides Westwood, 1833, Eubazus tibialis (Hellen, 1958), Kleidotoma nigra (Hartig, 1840), Leptopilina heterotoma (Thomson, 1862), Triodia sylvina (Linnaeus, 1761), Malthodes marginatus (Latreille, 1806), Anaspis regimbarti Schilsky, 1895, Aprostocetus agrus (Walker, 1839), Tryphon signator Gravenhorst, 1829, Agriotes acuminatus (Stephens, 1830), Rhopalum coarctatum (Scopoli, 1763), Archarius salicivorus (Paykull, 1792))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 417768 records from 1400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016451-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1373926.10fu
title: SH1373926.10FU

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: 10.15156/bio/sh1373929.10fu
title: SH1373929.10FU

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: 10.15156/bio/sh1373931.10fu
title: SH1373931.10FU

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: 10.15156/bio/sh1373934.10fu
title: SH1373934.10FU

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: 10.15156/bio/sh1373935.10fu
title: SH1373935.10FU

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: 10.15156/bio/sh1373941.10fu
title: SH1373941.10FU

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: 10.15156/bio/sh1373947.10fu
title: SH1373947.10FU

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: 10.15156/bio/sh1373951.10fu
title: SH1373951.10FU

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: 10.15156/bio/sh1373954.10fu
title: SH1373954.10FU

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.