cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc5d29x
title: CCDC 160558: Experimental Crystal Structure Determination

description: Related Article: J.L.Sessler, S.V.Shevchuk, W.Callaway, V.Lynch|2001|Chem.Commun.||968|doi:10.1039/b102139g
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc4wcq2
title: CCDC 145474: Experimental Crystal Structure Determination

description: Related Article: O.Seneque, M.Giorgi, O.Reinaud|2001|Chem.Commun.||984|doi:10.1039/b102322p
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc59v1b
title: CCDC 158411: Experimental Crystal Structure Determination

description: Related Article: K.Matsumoto, T.Ozawa, K.Jitsukawa, H.Einaga, H.Masuda|2001|Chem.Commun.||978|doi:10.1039/b100306m
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5drhs
title: CCDC 161215: Experimental Crystal Structure Determination

description: Related Article: O.Seneque, M.Giorgi, O.Reinaud|2001|Chem.Commun.||984|doi:10.1039/b102322p
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5f3h5
title: CCDC 161556: Experimental Crystal Structure Determination

description: Related Article: C.Livage, F.Millange, R.I.Walton, T.Loiseau, N.Simon, D.O'Hare, G.Ferey|2001|Chem.Commun.||994|doi:10.1039/b102753k
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc586d0
title: CCDC 156841: Experimental Crystal Structure Determination

description: Related Article: So Won Youn, Yong Hae Kim, Jeong-Wook Hwang, Youngkyu Do|2001|Chem.Commun.||996|doi:10.1039/b100355k
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc585zk
title: CCDC 156828: Experimental Crystal Structure Determination

description: Related Article: Hong-Ke Liu, Hai-Yan Tan, Ji-Wen Cai, Zhong-Yuan Zhou, A.S.C.Chan, Sen Liao, Wen Xiao, Hua-Xin Zhang, Xiao-Lan Yu, Bei-Sheng Kang|2001|Chem.Commun.||1008|doi:10.1039/b100325i
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5c34r
title: CCDC 159623: Experimental Crystal Structure Determination

description: Related Article: N.Feeder, E.A.Harron, M.E.G.Mosquera, A.D.Woods, D.S.Wright|2001|Chem.Commun.||1010|doi:10.1039/b101247i
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5862p
title: CCDC 156831: Experimental Crystal Structure Determination

description: Related Article: T.K.Maji, P.S.Mukherjee, G.Mostafa, T.Mallah, J.Cano-Boquera, N.R.Chaudhuri|2001|Chem.Commun.||1012|doi:10.1039/b100529o
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5bk67
title: CCDC 159098: Experimental Crystal Structure Determination

description: Related Article: Minghuey Shieh, Li-Fang Ho, Li-Fing Jang, Chuen-Her Ueng, Shie-Ming Peng, Yi-Huang Liu|2001|Chem.Commun.||1014|doi:10.1039/b101283p
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/vfcrsdsmmh
title: Online sexual abuse and exploitation in Brazil

description: The following information is available in the database: 1) demographic, including city and region of residence, number of people per household, age, gender, race and color; 2) educational, including own and parents' education, type of school attended (public or private); 3) economic, in particular family income; 4) digital behavior, including preferred device for accessing the main internet, time online, applications used (social networks, games, instant messaging and dating sites), and access control and monitoring; and 6) risks of violence on the internet, applications that occur online interaction with strangers, feeling of insecurity online (day, afternoon, night, early morning or all the time), and information about contacts with strangers on the internet.

The data complies with the General Law on the Protection of Personal Data (LGPD) Law No. 13,709/2018. Informed consent was obtained from the participants and the participants' data was fully anonymized.
DOI: 10.17632/vfcrsdsmmh.4
title: Online sexual abuse and exploitation in Brazil

description: The following information is available in the database: 1) demographic, including city and region of residence, number of people per household, age, gender, race and color; 2) educational, including own and parents' education, type of school attended (public or private); 3) economic, in particular family income; 4) digital behavior, including preferred device for accessing the main internet, time online, applications used (social networks, games, instant messaging and dating sites), and access control and monitoring; and 6) risks of violence on the internet, applications that occur online interaction with strangers, feeling of insecurity online (day, afternoon, night, early morning or all the time), and information about contacts with strangers on the internet.

The data complies with the General Law on the Protection of Personal Data (LGPD) Law No. 13,709/2018. Informed consent was obtained from the participants and the participants' data was fully anonymized.
DOI: 10.17632/ctbys33fzh
title: Multispectral reflectance database of Cannabis sativa

description: Our research hypothesis postulates that different strains of Cannabis sativa grown for medicinal purposes exhibit distinctive multispectral reflectance signatures in the 410 nm to 890 nm range that can be used for nondestructive and low-cost classification. The accompanying database contains 800 spectral signatures, each with 2442 lambda reflectance values, providing detailed resolution of the optical data. These data were collected from a medical cannabis crop by randomly sampling 30 plants of two varieties and 20 plants of two other varieties, spanning three distinct phenological stages, from which both high and low leaf measurements were taken for each sample. Notable findings from this data collection will focus on identifying subtle spectral patterns and differences between varieties, as well as within-variety variability as a function of phenological stage and leaf position. The data can be interpreted to develop machine learning models capable of discriminating between medical cannabis varieties efficiently and without damaging the plant, representing a valuable alternative to current identification methods that are often destructive and costly, opening the door to applications in quality control, traceability and crop optimization in the medical cannabis industry.
DOI: 10.17632/ctbys33fzh.1
title: Multispectral reflectance database of Cannabis sativa

description: Our research hypothesis postulates that different strains of Cannabis sativa grown for medicinal purposes exhibit distinctive multispectral reflectance signatures in the 410 nm to 890 nm range that can be used for nondestructive and low-cost classification. The accompanying database contains 800 spectral signatures, each with 2442 lambda reflectance values, providing detailed resolution of the optical data. These data were collected from a medical cannabis crop by randomly sampling 30 plants of two varieties and 20 plants of two other varieties, spanning three distinct phenological stages, from which both high and low leaf measurements were taken for each sample. Notable findings from this data collection will focus on identifying subtle spectral patterns and differences between varieties, as well as within-variety variability as a function of phenological stage and leaf position. The data can be interpreted to develop machine learning models capable of discriminating between medical cannabis varieties efficiently and without damaging the plant, representing a valuable alternative to current identification methods that are often destructive and costly, opening the door to applications in quality control, traceability and crop optimization in the medical cannabis industry.
DOI: 10.17632/7bcsvh6nfv.1
title: Evaluating machine learning muscle ultrasound models on an external dataset

description: This repository contains model weights that were fine-tuned using uploaded configs from the original muscle segmentation models from the paper "Machine learning-driven Heckmatt grading in facioscapulohumeral muscular dystrophy: A novel pathway for musculoskeletal ultrasound analysis" by Marzola et al. DOI:10.17632/yzg86vb895.1
The framework and idea behind this work can be found in the paper by Błaż et al. (in review)
This repository does not contain any muscle ultrasound images.
DOI: 10.15468/dl.ga83ae
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea hederifolia",
 "Country is Palau",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080969-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3fz8nxn95g.1
title: Recurrence and Resolution of TOTs in Young vs Older Adults

description: A tip of the tongue (TOT) state occurs when one is unable to produce a desired word despite the feeling of imminent recall (Brown & McNeill, 1966). Although the transmission deficit hypothesis (TDH; Burke, MacKay, Worthley, & Wade, 1991), the dominant model currently used to explain the underlying cause of TOTs, can be extended to explain other related TOT phenomena, the error learning hypothesis was recently proposed as an explanation for persistent or recurring TOTs (D'Angelo & Humphreys, 2015; Warriner & Humphreys, 2008). The purpose of this study was to assess the error learning hypothesis and TDH by comparing their predictions for the effects of retrieval interval time on recurring TOTs. Specifically, three questions were examined: (1) Is the error learning effect replicable? (2) Do TOT recurrence rates differ by age? (3) Are persistent alternates generated during the forced retrieval interval? Fifty-one young and 48 older adults were retested on 100 TOT-inducing stimuli with a 48-hour delay in a a 2 (age: young, old) x 2 (test: initial, 48-hour delay) x 2 (retrieval condition during initial test: immediate answer, 30 second forced retrieval) mixed factorial design. Test was a within-subjects factor, and age and retrieval condition were between-groups factors. 

The following SPSS files track the responses on Day 1 and Day 2 as well as whether they changed across testing sessions. Only TOT responses for the correct word were included in the analyses (“correct TOTs”). When the participant responded “TOT” but at the final test indicated that they were thinking of a different word than the intended target, the response was dropped from further analysis in the manuscript. These data were collected as part of the author's dissertation titled "Recurring tots: Error learning or transmission deficit?"
DOI: 10.15468/dl.j7t9eq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Fulica armillata)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080967-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffsf8g
title: Occurrence Download

description: A dataset containing 221122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Acrocephalus australis)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 221122 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082045-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22uzty
title: Occurrence Download

description: A dataset containing 317531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 1000-1975"
 ]
}

 The dataset includes 317531 records from 370 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082043-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7xfj8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepidostemon rosularis (K.C.Kuan & Z.X.An) Al-Shehbaz",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322729-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qscshy
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-62.54883 -24.46289,-63.437 -37.78552,-63.7207 -42.04102,-48.95507 -35.59571,-44.0332 -24.34571,-62.54883 -24.46289))",
 "TaxonKey is Eryngium echinatum Urb."
 ]
}

 The dataset includes 88 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322778-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nty6wg
title: Occurrence Download

description: A dataset containing 1548441475 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1548441475 records from 18344 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000906-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7g5bqf
title: Occurrence Download

description: A dataset containing 12154360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parus major Linnaeus, 1758"
 ]
}

 The dataset includes 12154360 records from 6810 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008517-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.quzkcd
title: Occurrence Download

description: A dataset containing 806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Garcia Vahl ex Rohr"
 ]
}

 The dataset includes 806 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001204-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzrbh4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"TUR.37.12_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006929-260108223611665/datasets/export for details.
DOI: 10.22033/esgf/cmip6.13423
title: NERC UKESM1.ice-LL model output prepared for CMIP6 ISMIP6

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ISMIP6.NERC.UKESM1-ice-LL' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The UKESM1.ice-N96ORCA1 climate model, released in 2019, includes the following components:
 aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), land: JULES-ISMIP6-1.0, landIce: BISICLES-UKESM-ISMIP6-1.0, ocean: NEMO-HadGEM3-GO6.0 (eORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 360 x 330 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: CICE-HadGEM3-GSI8 (eORCA1 tripolar primarily 1 deg; 360 x 330 longitude/latitude). 
The model was run by the Natural Environment Research Council, STFC-RAL, Harwell, Oxford, OX11 0QX, UK (NERC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, landIce: 5 km, ocean: 100 km, seaIce: 100 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.