cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6jszcw
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adesmia melanocaulos Phil."
 ]
}

 The dataset includes 21 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012534-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yejmf4
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Antidesma celebicum Miq."
 ]
}

 The dataset includes 52 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020078-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wyb4e
title: Occurrence Download

description: A dataset containing 4117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycteria leucocephala (Pennant, 1769)",
 "Country is India",
 "BasisOfRecord is Human Observation",
 "Year is 2015"
 ]
}

 The dataset includes 4117 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064346-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ogltv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adesmia frigida Phil."
 ]
}

 The dataset includes 16 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012535-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxvxkf
title: Occurrence Download

description: A dataset containing 10700 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus edulis Engelm."
 ]
}

 The dataset includes 10700 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020081-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zox5bv
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jabouilleia naungmungensis Rappole, Renner, Shwe & Sweet, 2005"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064352-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gy1r2d
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copaifera duckei Dwyer"
 ]
}

 The dataset includes 100 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064356-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8c95g
title: Occurrence Download

description: A dataset containing 6195 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tischeria ekebladella (Bjerkander, 1795)"
 ]
}

 The dataset includes 6195 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024104-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.feoiwf
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum fructu-tecto Cav.",
 "Country is Mexico"
 ]
}

 The dataset includes 92 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012538-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5gxg9
title: Occurrence Download

description: A dataset containing 10342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 10342 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064361-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epwfgi
title: Occurrence Download

description: A dataset containing 1426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Bidens pilosa L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1426 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012538-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h94zrv
title: Occurrence Download

description: A dataset containing 35444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((113.62925 22.5536,114.42366 22.5536,114.42366 23.06507,113.62925 23.06507,113.62925 22.5536))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 35444 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021626-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4jmmk
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copaifera reticulata Ducke"
 ]
}

 The dataset includes 273 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064362-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xpbzr
title: Occurrence Download

description: A dataset containing 615905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aglais milberti (Godart, 1819), Agraulis vanillae (Linnaeus, 1758), Atlides halesus (Cramer, 1779), Anaea aidea (Guérin-Méneville, 1844), Anaea andria Scudder, 1875, Anartia jatrophae (Linnaeus, 1763), Anteos clorinde (Godart, 1824), Anthanassa texana (W.H.Edwards, 1863), Anthocharis midea (Hübner, 1809), Aphrissa statira (Cramer, 1777), Appias drusilla (Cramer, 1779), Ascia monuste (Linnaeus, 1764), Asterocampa celtis (Boisduval & Le Conte, 1833), Asterocampa clyton (Boisduval & Le Conte, 1833), Battus philenor (Linnaeus, 1771), Brephidium exilis (Boisduval, 1852), Callophrys gryneus (Hübner, 1819), Callophrys henrici (Grote & Robinson, 1867), Calycopis cecrops (Fabricius, 1793), Calycopis isobeon (Butler & Druce, 1872), Celastrina ladon (Cramer, 1782), Celastrina neglecta (W.H.Edwards, 1862), Cercyonis pegala Fabricius, 1775, Chlosyne fulvia (W.H.Edwards, 1879), Chlosyne gorgone (Hübner), Chlosyne lacinia (Geyer, 1837), Chlosyne nycteis (Doubleday), Colias eurytheme Boisduval, 1852, Colias philodice Godart, 1819, Cupido comyntas (Godart, 1824), Cyllopsis gemma (Hübner, 1809), Danaus gilippus (Cramer, 1775), Dryadula phaetusa (Linnaeus, 1758), Dryas iulia (Fabricius, 1775), Echinargus isola (Reakirt, 1866), Enodia anthedon Clark, 1936, Enodia creola Skinner, 1897, Euchloe olympia (Edwards, 1871), Eueides isabella (Cramer, 1781), Eunica monima Cramer, 1782, Eunica tatila Herrich-Schäffer, Euphydryas phaeton (Drury, 1767), Euptoieta claudia (Cramer, 1775), Eurema mexicana (Boisduval, 1836), Eurema nicippe Cramer, 1779, Eurema proterpia (Fabricius, 1775), Feniseca tarquinius (Fabricius, 1793), Ganyra josephina (Godart, 1819), Glaucopsyche lygdamus (Doubleday, 1842))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 615905 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020079-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxcggx
title: Occurrence Download

description: A dataset containing 37910 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is RECORD Mammal Data"
 ]
}

 The dataset includes 37910 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012539-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9aver
title: Occurrence Download

description: A dataset containing 10342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lycium L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 10342 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064363-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25442/hku.26107606
title: Supporting data for ‘Deep Learning Assessment of Inflammation in Axial Spondylarthritis and Quantitative Analysis of Myelin Water in Multiple Sclerosis‘

description: The folder spine and SI contained deep learning model for segmenting the sacroiliac bone and spinal inflammatory lesion. These could be used for automated segmentation of sacroiliac bone and spinal inflammatory lesion. The folder myelin water contained the MRF reconstructed result that could be use for further analysis.
DOI: 10.25442/hku.26107606.v1
title: Supporting data for ‘Deep Learning Assessment of Inflammation in Axial Spondylarthritis and Quantitative Analysis of Myelin Water in Multiple Sclerosis‘

description: The folder spine and SI contained deep learning model for segmenting the sacroiliac bone and spinal inflammatory lesion. These could be used for automated segmentation of sacroiliac bone and spinal inflammatory lesion. The folder myelin water contained the MRF reconstructed result that could be use for further analysis.
DOI: 10.6084/m9.figshare.22679080.v7
title: Supplementary Tables for Veseli et al. 2023

description: Supplementary tables and Supplementary Information Files for the study by Veseli et al. titled "High metabolic independence is a determinant of microbial resilience in the face of gut stress" (https://doi.org/10.7554/eLife.89862.1).
DOI: 10.15468/dl.6p7m8a
title: Occurrence Download

description: A dataset containing 6407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Andorra, Albania, Armenia, Austria, Azerbaijan, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Algeria, Estonia, Egypt, Greece, Spain, Finland, Faroe Islands, France, Georgia, Guernsey, Gibraltar, Croatia, Hungary, Ireland, Israel, Isle of Man, Iceland, Italy, Jersey, Lebanon, Liechtenstein, Lithuania, Luxembourg, Latvia, Libya, Morocco, Monaco, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Palestine, State of, Portugal, Romania, Serbia, Russian Federation, Sweden, Slovenia, Svalbard and Jan Mayen, Slovakia, San Marino, Syrian Arab Republic, Tunisia, Türkiye, Ukraine, United Kingdom of Great Britain and Northern Ireland, French Guiana, Guadeloupe, Martinique, Mayotte, Réunion, Saint Martin (French part), Holy See)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Occurrence evidence, Observation)",
 "ScientificName is one of (Asclepias syriaca, Asclepias syriaca L.)"
 ]
}

 The dataset includes 6407 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017756-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd0521-1-v4
title: Income- and Property Survey 1985, Household level data

description: Statistics Norway carried out extensive income and property surveys in 1958, 1962, 1967, 1970, 1973, 1976, 1979 and 1982. From 1984 Statistics Norway switched to yearly surveys, this change mostly effected the sample size and sampling issues and not the type of information that is collected. The information is mostly decided based on publicly available taxation data. The income and property survey data is not a regular sampling survey, they are based on a selection that is drawn from the Tax Administration registries. Therefore, foreign citizens are included if they are part of the National registry, which all individuals with a work and residence permit normally are. Children born during the year are included regardless of date of birth, and the same is true of deceased individuals.

The sample is built on the idea that the data can be connected with the Level of living survey, Survey of consumer expenditure and similar surveys. The 1985 sample therefore consists of two independent and self-weighting samples, the sample for the yearly survey of consumer expenditure and a special senior sample over 84 years of age.

The purpose of the survey is to shine a light on the income of both the whole population and within different groups. One of the main goals is to create statistics about households, households being understood as those who live and eat together, and to create an overview of the distribution of individuals and household based on income size, socioeconomic groups, types of households, geography etc. Another main point is to collect income and property data as background information for the Level of Living and consumer expenditure surveys. Information on all types of income, assets, tax deductions, and disposable income for individuals and households. This material is mostly gathered from the tax registry from the tax directorate or from the municipal tax offices, and are therefore decided by the rules of tax calculation. Some information is gathered from other registers, for example marital status and family composition, while information about household composition is gathered through interviews. Family is a narrower concept than a household, a family can consist of single, unmarried fathers or mothers with children or married couples with or without children. A household consists of all individuals who lives and eats together and can therefore consist of several families. Experience shows that ca. 90% of all households consists of one family. (see NOS B 678) Tax free incomes like social benefits, gifts and profits are not included because of the rules of taxation. Rules for percentage taxation of property, valuation of benefits in kind, private withdrawals, depreciation, etc. also create a number of problems. 
In addition to tax information, information about education, occupation and industry of individuals are included. For households the composition, type and who the main income earner is, is included.
DOI: 10.25442/hku.17371826
title: Supporting data for “HBM for empowering parental toothbrushing and sugar intake control in reducing ECC among young children

description: This dataset uploaded is the dataset to support my analysis, results and conclusion for the thesis, mainly for Chapter 4-8. The Chapter 1 of my thesis is an introduction of the study. Chapter 2 is the protocol of the randomized controlled trial (RCT) conducted among parent-child dyads, which is the study of my PhD project. Chapter 3 is a systematic review. Therefore, Chapter 1-3 were not in relation to any study data. Chapter 4-8 reported the analysis, the result and the conclusion drawn from the data collected from the RCT.The variables included in the dataset are composed of the variables collected from the 3 observation timepoints: baseline, the 1st follow-up, and the 2nd follow-up. The variables collected at the baseline had no prefix. Those collected at the 1st follow-up had an “f” as the prefix, and an “s” for those collected at the 2nd follow-up.The variables include the information regarding the demographic information, parental oral health behaviors, the health beliefs based on the health belief model, and the clinical status of the children (caries status and the visible plaque index). All of their names, descriptions and the values (if applicable) has been shown in the README file attached.The dataset was in an SAV file, which could be opened and operated in SPSS.
DOI: 10.25442/hku.17371826.v1
title: Supporting data for “HBM for empowering parental toothbrushing and sugar intake control in reducing ECC among young children

description: This dataset uploaded is the dataset to support my analysis, results and conclusion for the thesis, mainly for Chapter 4-8. The Chapter 1 of my thesis is an introduction of the study. Chapter 2 is the protocol of the randomized controlled trial (RCT) conducted among parent-child dyads, which is the study of my PhD project. Chapter 3 is a systematic review. Therefore, Chapter 1-3 were not in relation to any study data. Chapter 4-8 reported the analysis, the result and the conclusion drawn from the data collected from the RCT.The variables included in the dataset are composed of the variables collected from the 3 observation timepoints: baseline, the 1st follow-up, and the 2nd follow-up. The variables collected at the baseline had no prefix. Those collected at the 1st follow-up had an “f” as the prefix, and an “s” for those collected at the 2nd follow-up.The variables include the information regarding the demographic information, parental oral health behaviors, the health beliefs based on the health belief model, and the clinical status of the children (caries status and the visible plaque index). All of their names, descriptions and the values (if applicable) has been shown in the README file attached.The dataset was in an SAV file, which could be opened and operated in SPSS.
DOI: 10.18712/nsd-nsd0678-1-v3
title: Partydemocracy - Delegate, 1985

description: Partydemocracy - Delegate, 1985

The Partydemocracy Survey consists of the following surveys:
- A study conducted in the 1980s that consists of two surveys: a study of the national party elites in 1984 and a study of national convention delegates in 1985.
- Party Member Survey 1991
- Party Member Survey 2000
- National Convention Survey 2000-01

This study documented is the national convention delegates in 1985. A major goal of this investigation was to obtain more systematic knowledge of Norwegian political parties. This applies particularly to the parties' organizational structure, their personnel and the question of how parties work towards their political views, ie. the decision-making process. The project will therefore aim both to encourage new and systematize existing knowledge that sheds light on the political party's role and place in the Norwegian political system.


This study was funded by the Council of Social Science Research (RSF) at the Norwegian Public Scientific Research (NAVF), currently The Research Council of Norway (NRC).
DOI: 10.18712/nsd-nsd2807-3-v4
title: Biosmart Questionaire – BIOSMART: Managing the Transition to a “Smart” Bio-economy, 2016

description: The objective of the Biosmart project is to promote a smart transition towards a bio-economy. A questionnaire among enterprises within sectors that are connected to the bio-economy was carried out as a part of the Biosmart project. The sample of sectors were chosen on the basis of earlier work in the European Commission's Bio-economy panel, work that includes sectors such as industry, teaching and research, but also the primary industries agriculture, forestry and fisheries, adapted to Norwegian conditions and debate. The objective of the survey was to identify how different relevant sectors imagine that the bio-economy would look like in 2030, and which part they imagine that they would play themselves within this economy. 

BIOSMART will promote a «smart» transition by conducting an encompassing foresight analysis that involves relevant interested parties and actors in the bio-economy. A preliminary, encompassing foresight process in form of a survey, that would involve 1500 enterprises within agriculture, forestry, fish farms, fisheries, industry and biotechnology, will lead to separate industry scenarios for bio-economic development. Further, a number of scientific studies will be conducted and play a key role in the further foresight process. These will look at the biotechnological transitional processes in Norway, questions about IP and area use rights, and how the resources planned to be used in the bio-economy can be made available and how the bio-economic development can be most ideally localized, and whether the new bio-economy will be environmentally sustainable and energy efficient, and what scope and level of the added value could be expected. These studies will present important contributions to the second round of foresight analyses, which will develop four integrated scenarios for bio-economic development across all sector industries and interested parties, and which will propose new ways to achieve these transitions. BIOSMART will contribute with a number of results of great importance for the research-, counselling- and the political fields. The most important contribution will nevertheless be to prepare the industries, the governments and the rest of society for the coming transition towards a “smart” bio-economy. 

For further information about ”Biosmart Questionaire – BIOSMART: Managing the Transition to a “Smart” Bio-economy, 2016”, please contact the principal investigator. The data set is complexed and is following the objective of the Biosmart project, with complicated questions/follow up questions that entails that the data set is not suited for external use.
DOI: 10.6084/m9.figshare.26212808
title: HT Supplymentary Table for NTCP in Rectal Cancer

description: HT Supplymentary Table for NTCP in Rectal Cancer
DOI: 10.6084/m9.figshare.26212808.v1
title: HT Supplymentary Table for NTCP in Rectal Cancer

description: HT Supplymentary Table for NTCP in Rectal Cancer
DOI: 10.25442/hku.26112739
title: Supporting data for <i>Improving Early Reading Comprehension in Filipino-English Bilingual Children Through Oral Language Assessment and Intervention in the Philippines</i>

description: The description of each dataset is given below. Study01 assessed Grades 1 to 3 bilingual children to identify the cognitive and linguistic skills that predict early reading comprehension. The data includes all the participants' scores in different cognitive and linguistic measures.Study02 identified different subgroups of early bilingual readers using their word reading, oral language, and reading fluency skills. The data includes the participants' scores in different linguistic measures in their first and second languages.Study 03 determined the efficacy of a multi-component oral language intervention for bilingual Grades 1 to 3 children. The data include scores of pretest and posttest measures of control and intervention groups.