cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zyt22a
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thecla betulina Staudinger, 1887",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067897-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3kg3r
title: Occurrence Download

description: A dataset containing 18314386 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Guatemala",
 "Country is El Salvador",
 "Country is Honduras",
 "Country is Nicaragua",
 "Country is Costa Rica",
 "Country is Panama"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18314386 records from 958 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003526-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.add9ad07
title: analyse automatique d'une partie du corpus LIFRANUM (blogs Blogger) utilisant des modèles mathématiques

description: Résultats de l'analyse automatique d'une partie du corpus LIFRANUM (blogs Blogger) utilisant des modèles mathématiques (calcul de l'information de Shannon, Yules, et.) et des outils statistiques
description: Ce tableau présente les résultats des calculs effectués sur une partie du corpus LIFRANUM (blogs Blogger), représentant les occurrences et un certain nombre de lois méthématiques (Shannon, Yules, etc.).
DOI: 10.15468/dl.d5zj9x
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Musophagiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((90 0,120 0,120 30,90 30,90 0))"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058607-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.3587.4721
title: Citation in China. 4 Russian ecology papers (of S.A. Ostroumov) were cited in Journal of Ocean University of China: https://www.researchgate.net/publication/275658286; DOI 10.13140/RG.2.1.3587.4721
DOI: 10.5281/zenodo.13764792
title: FULFILL dataset round 2 Delhi and Mumbai (India)

description: This dataset and codebook correspond to the second round of survey data gathered in Delhi and Mumbai (India) in 2024, within the project FULFILL - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes. 

As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from six countries: Denmark, France, Germany, Italy, Latvia, and India. The first round of the survey, consisted of recruiting a representative sample of approximately 2000 households in each country. In this second survey round, we recruit around 500 respondents from the initial survey round, ensuring representativity is maintained.

In order to consider sufficiency-oriented lifestyles not only in Europe but also in the Global South, we conducted a similar survey in India. More specifically, we adjusted the survey to fit the context (e.g., including cooling) and, due to the large size and diversity within India, we focused data collection on two Mega Cities (>10Mio inhabitants), namely Mumbai and Delhi. Due to the different cultural context and in exchange with Indian researchers and the supporting market research institute, we decided to change the methodology for data collection from an online survey to face-to-face interviews. The survey includes a quantitative assessment of the carbon footprint in various domains of life, such as housing, mobility, and diet. In addition to this, the survey also measures socio-economic factors such as age, gender, income, education, household size, life stage, and political orientation. Furthermore, the survey includes measures of quality of life, encompassing aspects such as health and well-being, environmental quality, financial security, and comfort.
DOI: 10.5281/zenodo.14833157
title: Clinical Implications of The Cancer Genome Atlas Molecular Classification System in Esophagogastric Cancer

description: Clinical and genomic data for "Clinical Implications of The Cancer Genome Atlas Molecular Classification System in Esophagogastric Cancer".

Contact: Smita Sihag (sihags@mskcc.org)
DOI: 10.5281/zenodo.14833156
title: Clinical Implications of The Cancer Genome Atlas Molecular Classification System in Esophagogastric Cancer

description: Clinical and genomic data for "Clinical Implications of The Cancer Genome Atlas Molecular Classification System in Esophagogastric Cancer".

Contact: Smita Sihag (sihags@mskcc.org)
DOI: 10.5281/zenodo.13764791
title: FULFILL dataset round 2 Delhi and Mumbai (India)

description: This dataset and codebook correspond to the second round of survey data gathered in Delhi and Mumbai (India) in 2024, within the project FULFILL - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes. 

As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from six countries: Denmark, France, Germany, Italy, Latvia, and India. The first round of the survey, consisted of recruiting a representative sample of approximately 2000 households in each country. In this second survey round, we recruit around 1000 respondents from the initial survey round, ensuring representativity is maintained.

In order to consider sufficiency-oriented lifestyles not only in Europe but also in the Global South, we conducted a similar survey in India. More specifically, we adjusted the survey to fit the context (e.g., including cooling) and, due to the large size and diversity within India, we focused data collection on two Mega Cities (>10Mio inhabitants), namely Mumbai and Delhi. Due to the different cultural context and in exchange with Indian researchers and the supporting market research institute, we decided to change the methodology for data collection from an online survey to face-to-face interviews. The survey includes a quantitative assessment of the carbon footprint in various domains of life, such as housing, mobility, and diet. In addition to this, the survey also measures socio-economic factors such as age, gender, income, education, household size, life stage, and political orientation. Furthermore, the survey includes measures of quality of life, encompassing aspects such as health and well-being, environmental quality, financial security, and comfort.
DOI: 10.5281/zenodo.14937774
title: FULFILL dataset round 2 Delhi and Mumbai (India)

description: This dataset and codebook correspond to the second round of survey data gathered in Delhi and Mumbai (India) in 2024, within the project FULFILL - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes. 

As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from six countries: Denmark, France, Germany, Italy, Latvia, and India. The first round of the survey, consisted of recruiting a representative sample of approximately 2000 households in each country. In this second survey round, we recruit around 1000 respondents from the initial survey round, ensuring representativity is maintained.

In order to consider sufficiency-oriented lifestyles not only in Europe but also in the Global South, we conducted a similar survey in India. More specifically, we adjusted the survey to fit the context (e.g., including cooling) and, due to the large size and diversity within India, we focused data collection on two Mega Cities (>10Mio inhabitants), namely Mumbai and Delhi. Due to the different cultural context and in exchange with Indian researchers and the supporting market research institute, we decided to change the methodology for data collection from an online survey to face-to-face interviews. The survey includes a quantitative assessment of the carbon footprint in various domains of life, such as housing, mobility, and diet. In addition to this, the survey also measures socio-economic factors such as age, gender, income, education, household size, life stage, and political orientation. Furthermore, the survey includes measures of quality of life, encompassing aspects such as health and well-being, environmental quality, financial security, and comfort.
DOI: 10.34658/rdb.9gsk7l
title: Regression Analysis of the Impact of Foreign Direct Investments, Adjusted Net Savings, and Environmental Tax Revenues on the Consumption of Renewable Energy Sources in EU Countries

description: In the presented work, the likely impact of the above indicators on the level of use of RE sources was estimated using a second-order regression equation. As a result, it was established that the growth of the adjusted net savings indicator and an increase in environmental tax revenues (ETR) have a positive effect on the level of use of RE sources. With significant FDI, the level of ANS does not have a very obvious effect on the growth of the level of use of RE sources. An increase in the level of ANS allows for an increase in ETR, which in turn contributes to an increase in the level of consumption of RE sources.
DOI: 10.34658/rdb.9gsk7l/p6zpqg
title: Model2.tab

description: :unav
DOI: 10.5281/zenodo.14898104
title: Input files for CDR-power sector analysis
DOI: 10.5281/zenodo.14898105
title: Input files for CDR-power sector analysis
DOI: 10.5281/zenodo.14782006
title: Circularly polarised electroluminescence from chiral supramolecular semiconductor thin films

description: data supporting research publication
DOI: 10.5519/qd.8t0cmt70
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (59 records)
DOI: 10.5281/zenodo.13641895
title: FULFILL dataset - diet policy acceptability - efficacy and acceptability framing Denmark

description: This dataset represents survey data on sufficiency-oriented policy acceptability in regard to dietary consumption. The study was part of the second round surveys in Denmark in 2023 within the FULFILL project - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes.

As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from two countries: Denmark and Germany, with representative sampling (age, income, gender, current region). In this survey on the acceptability of sufficiency-oriented diet policies we recruited a representative sample with approximately 800 participants from Denmark and Germany, taking into account primarily the individual perspective, added by some questions on the household level.

The central part of the survey includes a framing experiment including three groups with participants being randomly assigned to. We were interested in peoples' acceptability on three majorly discussed and sufficiency-relevant policies, i.e. meat tax, carbon label or meat-free day at public canteens. We investigated if an information on either the efficacy of the measures or a combination of information with acceptance information or none of these information could influence people's acceptability (overall, self vs. others perspective). We measured several control variables (socio-economics such as age, gender, income, education, household size, life stage, ideological measures such as political orientation or attitudinal measures such as sufficiency orientation and climate change denial). A quantitative assessment of the carbon footprint in the food consumption domain was also included.
DOI: 10.5281/zenodo.13641896
title: FULFILL dataset - diet policy acceptability - efficacy and acceptability framing Germany

description: This dataset represents survey data on sufficiency-oriented policy acceptability in regard to dietary consumption. The study was part of the second round surveys in Germany  in 2023 within the FULFILL project - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes.

As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from two countries: Denmark and Germany, with representative sampling (age, income, gender, current region). In this survey on the acceptability of sufficiency-oriented diet policies we recruited a representative sample with approximately 800 participants from Germany, taking into account primarily the individual perspective, added by some questions on the household level.

The central part of the survey includes a framing experiment including three groups with participants being randomly assigned to. We were interested in peoples' acceptability on three majorly discussed and sufficiency-relevant policies, i.e. meat tax, carbon label or meat-free day at public canteens. We investigated if an information on either the efficacy of the measures or a combination of information with acceptance information or none of these information could influence people's acceptability (overall, self vs. others perspective). We measured several control variables (socio-economics such as age, gender, income, education, household size, life stage, ideological measures such as political orientation or attitudinal measures such as sufficiency orientation and climate change denial). A quantitative assessment of the carbon footprint in the food consumption domain was also included.
DOI: 10.5281/zenodo.13643367
title: FULFILL dataset - diet policy acceptability - efficacy and acceptability framing Denmark

description: This dataset represents survey data on sufficiency-oriented policy acceptability in regard to dietary consumption. The study was part of the second round surveys in Denmark in 2023 within the FULFILL project - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes.

As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from two countries: Denmark and Germany, with representative sampling (age, income, gender, current region). In this survey on the acceptability of sufficiency-oriented diet policies we recruited a representative sample with approximately 800 participants from Denmark and Germany, taking into account primarily the individual perspective, added by some questions on the household level.

The central part of the survey includes a framing experiment including three groups with participants being randomly assigned to. We were interested in peoples' acceptability on three majorly discussed and sufficiency-relevant policies, i.e. meat tax, carbon label or meat-free day at public canteens. We investigated if an information on either the efficacy of the measures or a combination of information with acceptance information or none of these information could influence people's acceptability (overall, self vs. others perspective). We measured several control variables (socio-economics such as age, gender, income, education, household size, life stage, ideological measures such as political orientation or attitudinal measures such as sufficiency orientation and climate change denial). A quantitative assessment of the carbon footprint in the food consumption domain was also included.
DOI: 10.5281/zenodo.14937884
title: FULFILL dataset - diet policy acceptability - efficacy and acceptability framing Denmark

description: This dataset represents survey data on sufficiency-oriented policy acceptability in regard to dietary consumption. The study was part of the second round surveys in Denmark in 2023 within the FULFILL project - Fundamental Decarbonisation Through Sufficiency By Lifestyle Changes.

As part of Work Package 3 (WP3) in the FULFILL project, we collected quantitative data from two countries: Denmark and Germany, with representative sampling (age, income, gender, current region). In this survey on the acceptability of sufficiency-oriented diet policies we recruited a representative sample with approximately 800 participants from Denmark and Germany, taking into account primarily the individual perspective, added by some questions on the household level.

The central part of the survey includes a framing experiment including three groups with participants being randomly assigned to. We were interested in peoples' acceptability on three majorly discussed and sufficiency-relevant policies, i.e. meat tax, carbon label or meat-free day at public canteens. We investigated if an information on either the efficacy of the measures or a combination of information with acceptance information or none of these information could influence people's acceptability (overall, self vs. others perspective). We measured several control variables (socio-economics such as age, gender, income, education, household size, life stage, ideological measures such as political orientation or attitudinal measures such as sufficiency orientation and climate change denial). A quantitative assessment of the carbon footprint in the food consumption domain was also included.
DOI: 10.15468/dl.nr4dnh
title: Occurrence Download

description: A dataset containing 100578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Amazonetta brasiliensis (J.F.Gmelin, 1789)",
 "Year 1000-2024"
 ]
}

 The dataset includes 100578 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000746-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmf7b4
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-80.69551 -4.5641,-78.93148 -5.32721,-75.03434 -1.1165,-75.40705 1.42766,-81.3952 1.4816,-80.69551 -4.5641))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Boa constrictor Linnaeus, 1758"
 ]
}

 The dataset includes 135 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000012-250227125302545/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2zcnr
title: Occurrence Download

description: A dataset containing 932911 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Syke - Zoobenthos database (POHJE)"
 ]
}

 The dataset includes 932911 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000748-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb57ja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sideritis marmorea Bolle)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000013-250227125302545/datasets/export for details.
DOI: 10.6084/m9.figshare.21299502
title: Resolution, conflict and rate shifts: insights from a densely sampled plastome phylogeny for Rhododendron (Ericaceae)

description: • <strong>Background and Aims</strong> <em>Rhododendron </em>is a species-rich and taxonomically challenging genus due to recent adaptive radiation and frequent hybridization. A well-resolved phylogenetic tree would help to understand the diverse history of <em>Rhododendron </em>in the Himalaya–Hengduan Mountains where the genus is most diverse.
• <strong>Methods </strong>We reconstructed the phylogeny based on plastid genomes with broad taxon sampling, covering 161 species representing all eight subgenera and all 12 sections, including ~45 % of the <em>Rhododendron </em>species native to the Himalaya–Hengduan Mountains. We compared this phylogeny with nuclear phylogenies to elucidate reticulate evolutionary events and clarify relationships at all levels within the genus. We also estimated the timing and diversification history of <em>Rhododendron</em>, especially the two species-rich subgenera <em>Rhododendron </em>and <em>Hymenanthes </em>that comprise &gt;90 % of <em>Rhododendron </em>species in the Himalaya–Hengduan Mountains.
• <strong>Key Results </strong>The full plastid dataset produced a well-resolved and supported phylogeny of <em>Rhododendron</em>. We identified 13 clades that were almost always monophyletic across all published phylogenies. The conflicts between nuclear and plastid phylogenies suggested strongly that reticulation events may have occurred in the deep lineage history of the genus. Within <em>Rhododendron</em>, subgenus <em>Therorhodion </em>diverged first at 56 Mya, then a burst of diversification occurred from 23.8 to 17.6 Mya, generating ten lineages among the component 12 clades of core <em>Rhododendron</em>. Diversification in subgenus <em>Rhododendron </em>accelerated c. 16.6 Mya and then became fairly continuous. Conversely, <em>Hymenanthes </em>diversification was slow at first, then accelerated very rapidly around 5 Mya. In the Himalaya–Hengduan Mountains, subgenus <em>Rhododendron </em>contained one major clade adapted to high altitudes and another to low altitudes, whereas most clades in <em>Hymenanthes </em>contained both low- and high-altitude species, indicating greater ecological plasticity during its diversification.
• <strong>Conclusions </strong>The 13 clades proposed here may help to identify specific ancient hybridization events. This study will help to establish a stable and reliable taxonomic framework for <em>Rhododendron</em>, and provides insight into what drove its diversification and ecological adaption. Denser sampling of taxa, examining both organelle and nuclear genomes, is needed to better understand the divergence and diversification history of <em>Rhododendron</em>.
DOI: 10.15468/dl.s9eryf
title: Occurrence Download

description: A dataset containing 2517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adenanthera pavonina L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 2517 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000750-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.turdgh
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sideritis serrata Lag.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000751-250226211518916/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.