cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/9x0-2at-y7v
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rle-qzr-9d6
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.16419313
title: NVivo Query Outputs from Participatory Art and Environmental Stewardship Study in Western Kenya

description: This dataset contains NVivo query outputs used in the analysis of qualitative data for the study “Participatory art workshops as catalysts for environmental stewardship in Western Kenya”. The research explored how participatory arts (e.g., painting, embroidery, sculpture, music, and dance) influence environmental stewardship capacities and motivations in two farming communities in the Yala Basin, Western Kenya. Using Bennett et al.’s (2018) stewardship framework, the study examined the development and enhancement of human capital and motivational drivers among participants.

The dataset includes:





Matrix coding queries examining intersections between human capital, stewardship motivations, and creative processes.




Queries comparing responses across demographic groups and locations.



The queries were run using NVivo 14 and are structured around pre-developed and emergent themes based on the environmental stewardship framework, participatory processes, and arts-based learning. More information on the coding framework is available in the Supplementary Materials of the paper.

This dataset supports qualitative findings discussed in the associated manuscript and contributes to empirical evidence on the role of arts in conservation and community engagement.
DOI: 10.5281/zenodo.16419314
title: NVivo Query Outputs from Participatory Art and Environmental Stewardship Study in Western Kenya

description: This dataset contains NVivo query outputs used in the analysis of qualitative data for the study “Participatory art workshops as catalysts for environmental stewardship in Western Kenya”. The research explored how participatory arts (e.g., painting, embroidery, sculpture, music, and dance) influence environmental stewardship capacities and motivations in two farming communities in the Yala Basin, Western Kenya. Using Bennett et al.’s (2018) stewardship framework, the study examined the development and enhancement of human capital and motivational drivers among participants.

The dataset includes:





Matrix coding queries examining intersections between human capital, stewardship motivations, and creative processes.




Queries comparing responses across demographic groups and locations.



The queries were run using NVivo 14 and are structured around pre-developed and emergent themes based on the environmental stewardship framework, participatory processes, and arts-based learning. More information on the coding framework is available in the Supplementary Materials of the paper.

This dataset supports qualitative findings discussed in the associated manuscript and contributes to empirical evidence on the role of arts in conservation and community engagement.
DOI: 10.3535/f2w-2rk-vjk
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mvl-beg-a99
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.tar6b6
title: Occurrence Download

description: A dataset containing 2899 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dendroflora of the botanical-geographical district of Kuhistan (composition, distribution and protection issues)."
 ]
}

 The dataset includes 2899 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044810-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/e8e-v9j-wet
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/eqg-qtv-m1w
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qzm-94k-qth
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sqx-lz0-haf
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gy4-8mm-z3k
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/hmt-zyj-41a
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/q3p-6tz-b5p
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xhf-sp5-xnz
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3k8-9eg-twy
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e2l-bwc-02l
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wjv-1ac-wnc
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cdp-98v-bwa
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ll5-0sx-s8b
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/l0g-et7-51k
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n50-nm6-qbp
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/29q-1v7-gms
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ggt-7pz-10y
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/7x5-dnc-9z0
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zcr-vaf-ey7
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v6v-mnz-z2d
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wzv-554-k1s
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.16419345
title: Analysis Outputs from the Christchurch Dataset

description: A collection of outputs from our analysis of tweets as part of the #ContestingIslamophobia: Representation and Appropriation in Mediated Activism project. The zip file contains files grouped (via folders) into distinct time periods and hashtags that were analysed (the "all" folder is analysis of all of tweets). The csv file contains a list of the files in each folder. This dataset is focussed around the Christchurch attack. You can read some further documentation here: https://github.com/eddequincey/contestingIslamophobia-tweet-analysis/blob/v1.1/DOCUMENTATION.md
DOI: 10.5281/zenodo.16419346
title: Analysis Outputs from the Christchurch Dataset

description: A collection of outputs from our analysis of tweets as part of the #ContestingIslamophobia: Representation and Appropriation in Mediated Activism project. The zip file contains files grouped (via folders) into distinct time periods and hashtags that were analysed (the "all" folder is analysis of all of tweets). The csv file contains a list of the files in each folder. This dataset is focussed around the Christchurch attack. You can read some further documentation here: https://github.com/eddequincey/contestingIslamophobia-tweet-analysis/blob/v1.1/DOCUMENTATION.md
DOI: 10.3535/g2x-zxj-lak
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tk0-ckw-aw8
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0wh-h3a-025
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sn0-g0h-21s
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/gr3-qcs-5d8
title: Equisetum arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.5f9246
title: Occurrence Download

description: A dataset containing 0 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 (Pseudemys peninsularis)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044811-250717081556266/datasets/export for details.
DOI: 10.15468/dl.mruzx3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044814-250717081556266/datasets/export for details.
DOI: 10.15468/dl.cxg5j3
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ancistrus verecundus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044813-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8fq3p
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 101 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044815-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kczffp
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ehrharta longiflora",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 246 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044816-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfcqwd
title: Occurrence Download

description: A dataset containing 2181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2181 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044818-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24414/rob-euref-clib00cze
title: GNSS data of CLIB00CZE, Liberec, Czechia

description: Permanent GNSS station dataset as daily RINEX files
DOI: 10.5284/1106917
title: Data from a Geophysical Survey at the A12 Chelmsford to the A120, Junction 19-25, Essex, 2020

description: This collection comprises geophysical data and resulting images from a geophysical (magnetometer) survey, undertaken by Headland Archaeology (UK) Ltd, of 640 hectares on land between junctions 19 and 25 within the A12 Chelmsford to A120 Proposed Scheme (PS). The aim of the survey was to inform an archaeological assessment of the proposed road.
DOI: 10.15468/dl.2sdpv5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rudbeckia laciniata",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044820-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ngdpm
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rudbeckia laciniata",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 487 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044819-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11582/2022.00010
title: 2016_Khan_etal_BPJ

description: Files are seperated based on MD simulations and continuum electrostatics calculations. All the input/analysis files are present in corresponding directories/sub-directories. If you have trouble navigating, please send email to reza.611@gmail.com.

### Some raw trajectories are not removed as I have to repeatedly use them for others.

# For the simulations and/or calculations please go to the "simulations_analyses/" directory, which is divided into two groups: "MD_simulations/" and "continuum_electrostatics/". All the subfolder has long names to distinguish the content of the folder (i.e. pi_plc_dmpg_100_1st_run/). All the necessary scripts are also present in the scr directory or other subdirectories. If you have trouble finding any file, please send email to reza.611@gmail.com.

# For the manuscript files, please go to the "Manuscript_files_figures_raw_data/" directory. If you unzip the "Files_for_archive_Orinoco_BPJ_2016" folder and enter, you will get all the plots and raw data in the "Redo_data_and_plots_23_04_2015". This should be the final version. If you want to track the source of the raw data, please go to the "simulations_analyses/" directory. The folders for figures are named according to the content of the figure rather than Figure_1/Figure_2, as they change their places often in a manuscript. This was for my easiness of keeping track.

As for the manuscript files, the first version is in the "BtPIPLC_for_BPJ". The "BPJ_reply_for_appeal" directory should have all the later submission files.

Please do not hesitate to send an email in case of any questions. If you see any error please do let me know.
DOI: 10.11582/2022.00011
title: 2019_Waheed_etal_JPC-Letter

description: MD simulation data for the publication
DOI: 10.15468/dl.pa2k24
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amaranthus viridis",
 "Country is Suriname",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044821-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zaqkr2
title: Occurrence Download

description: A dataset containing 3765 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 (Pseudemys nelsoni)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 3765 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044823-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11582/2022.00013
title: 2011_SkjaervenL_PLoSCB_GroEl

description: molecular dynamics (MD) simulation data for the publication
DOI: 10.15468/dl.tqvy79
title: Occurrence Download

description: A dataset containing 22 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 (Pseudemys nelsoni)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044824-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24414/rob-euref-cpar00cze
title: GNSS data of CPAR00CZE, Pardubice, Czechia

description: Permanent GNSS station dataset as daily RINEX files
DOI: 10.11582/2022.00014
title: WRF simulations used for Spensberger and Spengler (2021), JGR.

description: A set of idealised simulations with the Polar WRF model, representing cold-air outbreaks with varying model resolution, ice distribution in the marginal ice zone, sea-ice edge and wind speed. The data set contains both all input data for WRF and the preprocessor, as well as the postprocessed WRF output on which the published results are based.
DOI: 10.15468/dl.ufvkqx
title: Occurrence Download

description: A dataset containing 4 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 (Pseudemys nelsoni)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044822-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.119945
title: Survey responses from survey that surveyed the users of Cambridge college dining halls about their food-related attitudes and behaviours from December 2024-February 2025

description: Data was collected via a Qualtrics-enabled online survey, that was active between the 16th of December 2024 and 2nd of February 2025. The survey was promoted via participation invites that were distributed in all 31 colleges via posters and electronic promotion material that was distributed by student representatives (MCR/JCR or equivalent) and through internal college communications avenues. Survey explored attitudes and behaviours related to food consumption in Cambridge colleges framed in the COM-B, 4Ns and 4Cs frameworks. Four follow-up focus groups were conducted to expose in more depth the key themes identified from the survey data. 1st row contains the question or survey prompt. Subsequent rows contain responses, one response for each row. Gender identification data was self-determined by survey respondents by selecting from a list of options that was based on available guidance from the University of Oxford at the time the survey was designed.
DOI: 10.15468/dl.4ucxj6
title: Occurrence Download

description: A dataset containing 60936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Luscinia svecica",
 "MediaType is Image"
 ]
}

 The dataset includes 60936 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044782-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24414/rob-euref-crak00cze
title: GNSS data of CRAK00CZE, Rakovnik, Czechia

description: Permanent GNSS station dataset as daily RINEX files