cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jzw7bk
title: Occurrence Download

description: A dataset containing 36188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zonotrichia leucophrys (J.R.Forster, 1772)",
 "HasCoordinate is True",
 "Country is United States of America",
 "Year is greater than or equal to 1999",
 "Year is less than or equal to 2001",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False",
 "DecimalLatitude is greater than or equal to 24.5",
 "DecimalLatitude is less than or equal to 49.5",
 "DecimalLongitude is greater than or equal to -125.0",
 "DecimalLongitude is less than or equal to -66.5"
 ]
}

 The dataset includes 36188 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229419-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w88b72
title: Occurrence Download

description: A dataset containing 950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Morus mongolica (Bureau) C.K.Schneid.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 950 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121905-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aaz93h
title: Occurrence Download

description: A dataset containing 2929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fish collection, Natural History Museum, University of Oslo",
 "TaxonKey is Perciformes"
 ]
}

 The dataset includes 2929 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282634-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mm696
title: Occurrence Download

description: A dataset containing 1417 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex maculata Boott"
 ]
}

 The dataset includes 1417 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121930-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhenes
title: Occurrence Download

description: A dataset containing 1009 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-109.37 26.55518,-90.02828 26.55518,-90.02828 37.52674,-109.37 37.52674,-109.37 26.55518))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bromus japonicus Houtt."
 ]
}

 The dataset includes 1009 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0423516-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11091989
title: FRACTESUS_NRG_73W_IRR_KJc_MCT_07

description: Fractesus project. Fracture test mini-CT. Raw data 73W Irradiated. NRG.
DOI: 10.5281/zenodo.11091990
title: FRACTESUS_NRG_73W_IRR_KJc_MCT_07

description: Fractesus project. Fracture test mini-CT. Raw data 73W Irradiated. NRG.
DOI: 10.15468/dl.r4j6xs
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex magacis Molina Gonz., Acedo & Llamas"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121938-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86mgc3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oxytropis halleri Balansa ex Boiss.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282629-210914110416597/datasets/export for details.
DOI: 10.15468/dl.jpguba
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptophlebia peltastica (Meyrick, 1921)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0385334-210914110416597/datasets/export for details.
DOI: 10.15468/dl.a7v8k2
title: Occurrence Download

description: A dataset containing 124063 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-24.02460 32.95456,4.11244 32.95456,4.11244 44.20456,-24.02460 44.20456,-24.02460 32.95456))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus nigra J.F.Arnold"
 ]
}

 The dataset includes 124063 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121787-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c862cn
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseuderemias mucronata (Blanford, 1870)"
 ]
}

 The dataset includes 131 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282635-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcbtdv
title: Occurrence Download

description: A dataset containing 7371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Morus australis Poir.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7371 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121902-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jccfn
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Tajikistan",
 "OccurrenceStatus is Present",
 "TaxonKey is Silene L."
 ]
}

 The dataset includes 207 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121900-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wr4vww
title: Occurrence Download

description: A dataset containing 9588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "ScientificName is Trifolium pratense L."
 ]
}

 The dataset includes 9588 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282675-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsakt3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex macrostigmatica Kük."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121923-230224095556074/datasets/export for details.
DOI: 10.15468/dl.fpztwb
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is USA.24_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus resinosa Aiton"
 ]
}

 The dataset's 1 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020448-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwh2eq
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tricholepis furcata Spreng. ex DC."
 ]
}

 The dataset includes 112 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019465-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.35whm4
title: Occurrence Download

description: A dataset containing 27910 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dermochelys coriacea (Vandelli, 1761)"
 ]
}

 The dataset includes 27910 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0423517-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60641/hgcd-ad74
title: Diffusion Tensor Imaging (DTI)

description: The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). 
description: Diffusion Tensor Imaging (DTI) is a Magnetic Resonance Imaging‑based neuroimaging technique that makes it possible to estimate the location, orientation, and anisotropy of the white matter tracts of the brain.
description: In NTR projects YC_BS1, YC_BS2, and YC_BS3, a whole-head MRI scan was acquired with a 1.5 Tesla Philips Achieva scanner (Philips, Best, The Netherlands, for protocol details see: https://doi.org/10.1017/thg.2012.4; https://doi.org/10.1002/hbm.22988; https://doi.org/10.1016/j.neuroimage.2019.116073).
DOI: 10.60641/sv9f-ya49
title: Leisure Activities

description: The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). 
description: Leisure Activities consists of questions about activities performed in leisure time, hobbies and time spend thereon.
description: In NTR projects YC_DSC and YC_ADHMRI, mother-ratings were obtained via a telephone interview.
DOI: 10.60641/733f-2439
title: Binge Eating

description: The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). 
description: Binge eating assesses binge eating behaviors. Items were derived from the Growing Up Today Study and the Virginia Twin Survey.
DOI: 10.60641/0rpt-vr89
title: NEO Five-Factor Inventory - Revised (NEO-FFI-R)

description: The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). 
description: The NEO Personality Inventory (NEO) is a personality inventory that assesess different dimensions of personality. Most versions focus on the Big Five personality traits Neuroticism, Emotional Stability, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness. Different versions are available that differ in number of items and sub scales.
description: In NTR, the Revised NEO Five-Factor Inventory (NEO-FFI-R) is used.
DOI: 10.60641/vmnt-xg04
title: Language and stuttering

description: The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). 
description: Language development and stuttering contains questions about the child's speech development and the parent's and child's stuttering. Questions include, for example, "Have you ever stuttered?", "Did the stuttering bother you?",  "Has your child ever stuttered?", "Does the child slowly repeat a sound from a sentence?", and "Does the child prolong a sound within a word?".
DOI: 10.60641/x6s1-fb73
title: School Situation

description: The Netherlands Twin Register (NTR) consists of individuals who have agreed to participate in twin-family studies and was established and is managed by the Department of Biological Psychology, VU University Amsterdam (see: https://tweelingenregister.vu.nl/). The NTR was established in 1987 and has enrolled around 120.000 twins and a roughly equal number of their relatives. The majority of twin families have participated one or more times in survey studies on a host of epidemiological variables including social demography, personality, lifestyle, somatic and mental health, and subsamples took part in biomaterial collection (e.g. DNA) and dedicated projects for e.g. neuropsychological, biomarker, and behavioral traits. The recruitment into the NTR is fully inclusive without any restrictions on enrolment. The NTR is committed to actively seek the commitment of its participants to science and their continued involvement in NTR research by maintaining a website, electronic newsletters, and the MijnNTR portal that provides personalized feedback to participants. The NTR resources, e.g. the longitudinal phenotyping, the extended pedigree structures, and the multi-generation genotyping allow for future twin-family research that will contribute to gene discovery, causality modelling, and studies of genetic and cultural inheritance of behavioral traits and mental and physical health. In the CID data catalogue, only the NTR projects for children and adolescents (<18 years of age) have been included. This is refered to as the Young Netherlands Twin Register (YNTR). 
description: School situations contains questions about children's schoolgoing situation, including the type of school the children attend, whether twins attend the same or different school or class, whether the child has ever skipped or repeated grades, and truancy.
description: In NTR projects YC_DSC and YC_ADHMRI, mother-ratings were obtained via a telephone interview, and in NTR project YC_FITNSS, via a face-to-face interview.