cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fyn9rk
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.91012 -34.731813, 149.91012 -34.736305, 149.914611 -34.736305, 149.914611 -34.731813, 149.91012 -34.731813))"
 ]
}

 The dataset includes 59 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073737-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1122176
title: Data from an Archaeological Monitoring at 13 St Johns Green, Chelmsford, Essex, November 2022-September 2023

description: This collection comprises site records, CAD data, site photographs and reports from an archaeological monitoring carried out by Colchester Archaeological Trust at 13 St John's Green, Writtle, Chelmsford, Essex between November 2022 and September 2023, during groundworks for the construction of a two storey side extension, a single storey rear extension and associated services.
DOI: 10.6084/m9.figshare.26780038
title: scripts_v02.tar.gz

description: updating existing folder
DOI: 10.6084/m9.figshare.26780038.v1
title: scripts_v02.tar.gz

description: updating existing folder
DOI: 10.15468/dl.c4y28k
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.707998 -34.736305, 149.707998 -34.738551, 149.714735 -34.738551, 149.714735 -34.736305, 149.707998 -34.736305))"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073738-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13341386
title: Example dataset PyfUS

description: Example dataset to be used with the associated protocol and software PyfUS on functional ultrasound (fUS) data analysis. It contains 3 mice, with 25 sessions total, 5 trials / session, and was acquired using a matrix array transducer at a framerate of 2 Hz. Animals were subjected to a visual stimulus (drifting gratings with 0 (forward) and 180° (backward) orientation).
DOI: 10.5281/zenodo.13341387
title: Example dataset PyfUS

description: Example dataset to be used with the associated protocol and software PyfUS on functional ultrasound (fUS) data analysis. It contains 3 mice, with 25 sessions total, 5 trials / session, and was acquired using a matrix array transducer at a framerate of 2 Hz. Animals were subjected to a visual stimulus (drifting gratings with 0 (forward) and 180° (backward) orientation).
DOI: 10.15468/dl.wfdvt2
title: Occurrence Download

description: A dataset containing 131278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Centropus sinensis (Stephens, 1815)",
 "Year 2023-2024"
 ]
}

 The dataset includes 131278 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073696-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13341345
title: FULFILL dataset round 1 Delhi and Mumbai (India)

description: This dataset and codebook correspond to the initial round of survey data gathered in Delhi and Mumbai (India) in 2023, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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.13341346
title: FULFILL dataset round 1 Delhi and Mumbai (India)

description: This dataset and codebook correspond to the initial round of survey data gathered in Delhi and Mumbai (India) in 2023, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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: 10.15468/dl.y6tdvt
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Canis lupus pallipes Sykes, 1831",
 "Year 2020-2024"
 ]
}

 The dataset includes 49 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073740-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdbwxv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.994453 -34.738551, 148.001191 -34.738551, 148.001191 -34.740797, 148.005682 -34.740797, 148.005682 -34.738551, 148.014666 -34.738551, 148.014666 -34.736305, 148.005682 -34.736305, 148.005682 -34.729568, 148.001191 -34.729568, 148.001191 -34.727322, 147.998945 -34.727322, 147.998945 -34.720584, 147.996699 -34.720584, 147.996699 -34.729568, 147.998945 -34.729568, 147.998945 -34.731813, 147.996699 -34.731813, 147.996699 -34.734059, 147.994453 -34.734059, 147.994453 -34.738551), (147.998945 -34.731813, 148.001191 -34.731813, 148.001191 -34.736305, 147.998945 -34.736305, 147.998945 -34.731813)), ((147.994453 -34.738551, 147.987716 -34.738551, 147.987716 -34.740797, 147.992208 -34.740797, 147.992208 -34.743042, 147.994453 -34.743042, 147.994453 -34.738551)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073739-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5r46tq
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron komiyamae Makino"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073741-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13341284
title: FULFILL dataset round 1 Latvia

description: This dataset and codebook correspond to the initial round of survey data gathered in Latvia in 2022, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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.13341285
title: FULFILL dataset round 1 Latvia

description: This dataset and codebook correspond to the initial round of survey data gathered in Latvia in 2022, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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: 10.5518/201
title: Dataset associated with 'Hydrodynamic simulations of mechanical stellar feedback in a molecular cloud formed by thermal instability'

description: In the paper, we have used the AMR hydrodynamic code, MG, to perform 3D hydrodynamic simulations with self-gravity of stellar feedback in a spherical clumpy molecular cloud formed through the action of thermal instability. This repository contains the raw data to accompany each figure in this peer-reviewed publication in the Monthly Notices of the Royal Astronomical Society.
DOI: 10.15468/dl.hnth8d
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mozambique",
 "OccurrenceStatus is Present",
 "TaxonKey is Diospyros consolatae Chiov."
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073743-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aq8jj5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.907874 -34.745288, 149.907874 -34.74978, 149.914611 -34.74978, 149.914611 -34.745288, 149.907874 -34.745288))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073742-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mycyrc
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron kongboense Kingdon-Ward ex Hutch."
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073744-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25119275
title: CONTEXT - Data, Code, Objects

description: Data, code and objects associated with the paper - "Genetic dependencies associated with transcription factor activities in human cancer cell lines"The CropSeq_TEAD1_GDs.RDS file contains the Seurat object of the CROP-seq data in the SNU-761 cell line. The assignment of sgRNA for each cell line can be found in the assay "guide_calls". Raw and normalized single-cell counts are available.
DOI: 10.6084/m9.figshare.25119275.v3
title: CONTEXT - Data, Code, Objects

description: Data, code and objects associated with the paper - "Genetic dependencies associated with transcription factor activities in human cancer cell lines"The CropSeq_TEAD1_GDs.RDS file contains the Seurat object of the CROP-seq data in the SNU-761 cell line. The assignment of sgRNA for each cell line can be found in the assay "guide_calls". Raw and normalized single-cell counts are available.
DOI: 10.5281/zenodo.13341192
title: FULFILL dataset round 1 France

description: This dataset and codebook correspond to the initial round of survey data gathered in France in 2022, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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.13341193
title: FULFILL dataset round 1 France

description: This dataset and codebook correspond to the initial round of survey data gathered in France in 2022, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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: 10.15468/dl.vx7xtf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.869696 -34.74978, 149.869696 -34.752026, 149.876433 -34.752026, 149.876433 -34.74978, 149.869696 -34.74978))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073745-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12799726
title: FULFILL dataset round 1 Germany

description: This dataset and codebook correspond to the initial round of survey data gathered in Germany in 2022, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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.12799727
title: FULFILL dataset round 1 Germany

description: This dataset and codebook correspond to the initial round of survey data gathered in Germany in 2022, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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.13134032
title: Policies, systemic factors, trade-offs and synergies for agroecological transitions

description: In order to identify the existing policies, systemic factors, trade-offs and synergies for agroecological transition we collected data via desk research, interviews with policy-makers and focus groups. This dataset presents the interview outcomes for 39 policy-makers from our focal countries
DOI: 10.5281/zenodo.13134033
title: Policies, systemic factors, trade-offs and synergies for agroecological transitions

description: In order to identify the existing policies, systemic factors, trade-offs and synergies for agroecological transition we collected data via desk research, interviews with policy-makers and focus groups. This dataset presents the interview outcomes for 39 policy-makers from our focal countries
DOI: 10.15468/dl.b2jysd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.056716 -34.754271, 149.056716 -34.758763, 149.058962 -34.758763, 149.058962 -34.754271, 149.056716 -34.754271))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073746-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13341243
title: FULFILL dataset round 1 Italy

description: This dataset and codebook correspond to the initial round of survey data gathered in Italy in 2022, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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.13341244
title: FULFILL dataset round 1 Italy

description: This dataset and codebook correspond to the initial round of survey data gathered in Italy in 2022, 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. In the first round of the survey, we recruited a representative sample of approximately 2000 households in each country, taking into account both the individual and household perspectives. 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: 10.6084/m9.figshare.26780102
title: Supp data 2: High precision U–Pb geochronology of the Lundy igneous complex: implications for North Atlantic volcanism and the far field Paleocene–Eocene ash record

description: Supplementary data - U–Pb.
DOI: 10.6084/m9.figshare.26780102.v1
title: Supp data 2: High precision U–Pb geochronology of the Lundy igneous complex: implications for North Atlantic volcanism and the far field Paleocene–Eocene ash record

description: Supplementary data - U–Pb.
DOI: 10.6084/m9.figshare.26780105
title: Supp data 1: High precision U–Pb geochronology of the Lundy igneous complex: implications for North Atlantic volcanism and the far field Paleocene–Eocene ash record

description: Supplementary data - geochemistry.
DOI: 10.6084/m9.figshare.26780105.v1
title: Supp data 1: High precision U–Pb geochronology of the Lundy igneous complex: implications for North Atlantic volcanism and the far field Paleocene–Eocene ash record

description: Supplementary data - geochemistry.