cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10809766
title: A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations

description: This information is lists of alien species regulated in South Africa under the National Environmental Management: Biodiversity Act in an accessible form.

The first worksheet is essentially metadata.

The second worksheet is intended to be a link between any taxa listed or proposed for listing and various taxonomic backbones.

The third worksheet is intended to provide a list of taxonomically verified names linked to the current lists.

The other worksheets link to particular versions of the regulations (including version sent for public comment that were never published), the intention is for this to be an exact copy (including formatting), please report any inconsistencies between this and the published version to john.wilson2@gmail.com, but before doing so please double-check that what is presented here, is not how it is presented in the lists themselves.

The data were extracted by John Wilson at various dates from pdfs in the government gazette, contact john.wilson2@gmail.com

For further details please see: Wilson JRU, Kumschick S (2024). The regulation of alien species in South Africa. South African Journal of Science. vol. 120, issue 5/6, Art. #17002. https://doi.org/10.17159/sajs.2024/17002 

If only the database is to be cited, cite as: Wilson, J. R. (2024) A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations. v1.0 (20240331) https://doi.org/10.5281/zenodo.10809766

For a full description of metadata see: the latest species list available at iasreport.sanbi.org.za/ or http://dx.doi.org/10.5281/zenodo.8217211
DOI: 10.5281/zenodo.15082537
title: A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations

description: This information is lists of alien species regulated in South Africa under the National Environmental Management: Biodiversity Act in an accessible form.

The first worksheet is essentially metadata.

The second worksheet is intended to be a link between any taxa listed or proposed for listing and various taxonomic backbones.

The third worksheet is intended to provide a list of taxonomically verified names linked to the current lists.

The other worksheets link to particular versions of the regulations (including version sent for public comment that were never published), the intention is for this to be an exact copy (including formatting), please report any inconsistencies between this and the published version to john.wilson2@gmail.com, but before doing so please double-check that what is presented here, is not how it is presented in the lists themselves.

The data were extracted by John Wilson at various dates from pdfs in the government gazette, contact john.wilson2@gmail.com

For further details please see: Wilson JRU, Kumschick S (2024). The regulation of alien species in South Africa. South African Journal of Science. vol. 120, issue 5/6, Art. #17002. https://doi.org/10.17159/sajs.2024/17002 

If only the database is to be cited, cite as Wilson, J. R. (2025) A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations. v1.1(20250325) doi: 10.5281/zenodo.15082537 (NOTE CHECK FOR LATEST VERSION )

For a full description of metadata see: the latest species list available at iasreport.sanbi.org.za/ or http://dx.doi.org/10.5281/zenodo.8217211
DOI: 10.5281/zenodo.7638965
title: A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations

description: This information is lists of alien species regulated in South Africa under the National Environmental Management: Biodiversity Act in an accessible form.

The first worksheet is essentially metadata.

The second worksheet is intended to be a link between any taxa listed or proposed for listing and various taxonomic backbones.

The third worksheet is intended to provide a list of taxonomically verified names linked to the current lists.

The other worksheets link to particular versions of the regulations (including version sent for public comment that were never published), the intention is for this to be an exact copy (including formatting), please report any inconsistencies between this and the published version to john.wilson2@gmail.com, but before doing so please double-check that what is presented here, is not how it is presented in the lists themselves.

The data were extracted by John Wilson at various dates from pdfs in the government gazette, contact john.wilson2@gmail.com

For further details please see: Wilson JRU, Kumschick S (2024). The regulation of alien species in South Africa. South African Journal of Science. vol. 120, issue 5/6, Art. #17002. https://doi.org/10.17159/sajs.2024/17002 

If only the database is to be cited, cite as Wilson, J. R. (2025) A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations. v1.1(20250325) doi: 10.5281/zenodo.15082537 (NOTE CHECK FOR LATEST VERSION )

For a full description of metadata see: the latest species list available at iasreport.sanbi.org.za/ or http://dx.doi.org/10.5281/zenodo.8217211
DOI: 10.5281/zenodo.7638966
title: A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations

description: This information is lists of alien species regulated in South Africa under the National Environmental Management: Biodiversity Act in an accessible form.<br> The first worksheet is intended to be between the latest regulatory list and various taxonomic backbones<br> The other worksheets link to particular versions of the regulations (including version sent for public comment that were never published), the intention is for this to be an exact copy (including formatting), please report any inconsistencies between this and the published version to john.wilson2@gmail.com, but before doing so please double-check that what is presented here, is not how it is presented in the lists themselves<br> The data were extracted by John Wilson at various dates from pdfs in the government gazette, contact john.wilson2@gmail.com Please refer to "Wilson, J.R.U. et al. (in preparation) The regulation of alien species in South Africa" for further details<br> Until that paper is finished, and if only the database is to be cited, cite as Wilson, J. R. (2023) A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations. doi: 10.5281/zenodo.7638966<br> For a full description of metadata see: the lateset species list available at iasreport.sanbi.org.za/
DOI: 10.5281/zenodo.8202704
title: A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations

description: This information is lists of alien species regulated in South Africa under the National Environmental Management: Biodiversity Act in an accessible form.<br> The first worksheet is intended to be between the latest regulatory list and various taxonomic backbones<br> The other worksheets link to particular versions of the regulations (including version sent for public comment that were never published), the intention is for this to be an exact copy (including formatting), please report any inconsistencies between this and the published version to john.wilson2@gmail.com, but before doing so please double-check that what is presented here, is not how it is presented in the lists themselves<br> The data were extracted by John Wilson at various dates from pdfs in the government gazette, contact john.wilson2@gmail.com Please refer to "Wilson, J.R.U. et al. (in preparation) The regulation of alien species in South Africa" for further details<br> Until that paper is finished, and if only the database is to be cited, cite as Wilson, J. R. (2023) A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations. doi: 10.5281/zenodo.8202704<br> For a full description of metadata see: the lateset species list available at iasreport.sanbi.org.za/
DOI: 10.6084/m9.figshare.27679248
title: Codebook and Student's Satisfaction Questionnaire

description: This is the codebook derived from the qualitative data analysis of student's satisfaction in this study. There are two files each representing the theme we discovered during data analysis: positive learning experiences and challenges encountered during learning. Codebook was displayed in matrix, marking on which groups each codes were observed, to facilitate comparison and further corroboration between groups. A total of 36 codes were created with their definitions and categories.We also attached the questionnaire used to collect quantitative and qualitative data of student's satisfaction after learning with teacher-centered learning (TCL) method and student-centered learning (SCL) methods. It consists of 10 5-point Likert scale questions and 3 open-ended questions.
DOI: 10.6084/m9.figshare.27679248.v2
title: Codebook and Student's Satisfaction Questionnaire

description: This is the codebook derived from the qualitative data analysis of student's satisfaction in this study. There are two files each representing the theme we discovered during data analysis: positive learning experiences and challenges encountered during learning. Codebook was displayed in matrix, marking on which groups each codes were observed, to facilitate comparison and further corroboration between groups. A total of 36 codes were created with their definitions and categories.We also attached the questionnaire used to collect quantitative and qualitative data of student's satisfaction after learning with teacher-centered learning (TCL) method and student-centered learning (SCL) methods. It consists of 10 5-point Likert scale questions and 3 open-ended questions.
DOI: 10.6084/m9.figshare.27679248.v1
title: Codebook

description: This is the codebook derived from the qualitative data analysis of student's satisfaction in this study (Effectivity and Satisfaction of Teacher-Centered Learning vs. Student-Centered Learning in Hierarchical and Collectivist Context). Analysis was done using inductive coding approach. A total of 36 codes were created with their definitions and categories. We also marked on which groups each codes were observed.
DOI: 10.15468/dl.2supve
title: Occurrence Download

description: A dataset containing 28794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sapium Jacq."
 ]
}

 The dataset includes 28794 records from 660 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017368-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fb2jx2
title: Occurrence Download

description: A dataset containing 8417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Japan, Korea (Democratic People’s Republic of), Korea, Republic of, Mongolia, Russian Federation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Empetrum nigrum L."
 ]
}

 The dataset includes 8417 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017369-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12045240
title: World Stock Prices ( Daily Updating )
DOI: 10.5281/zenodo.15582437
title: Requirements for the future Quantum Workforce: Questionnaires and answers from the study

description: Questionnaires from the study Requirements for the future Quantum Workforce. The anonymized data from 188 participants in three study rounds in 2020 and 2021 are available on request, see earlier version.

Results are published in Future quantum workforce: Competences, requirements, and forecasts, Phys. Rev. Phys. Educ. Res. 19, 010137 – Published 5 June, 2023, DOI: 10.1103/PhysRevPhysEducRes.19.010137.
DOI: 10.5281/zenodo.6834713
title: Requirements for the future Quantum Workforce: Questionnaires and answers from the study

description: Questionnaires from the study Requirements for the future Quantum Workforce. The anonymized data from 188 participants in three study rounds in 2020 and 2021 are available on request, see earlier version.

Results are published in Future quantum workforce: Competences, requirements, and forecasts, Phys. Rev. Phys. Educ. Res. 19, 010137 – Published 5 June, 2023, DOI: 10.1103/PhysRevPhysEducRes.19.010137.
DOI: 10.15468/dl.2t7jbw
title: Occurrence Download

description: A dataset containing 2007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Occurrence evidence, Living Specimen, Material sample, Specimen, Fossil)",
 "Country is one of (Spain, Portugal)",
 "TaxonKey is Tradescantia fluminensis Vell.",
 "Year 2000-2005"
 ]
}

 The dataset includes 2007 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017370-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rdahm
title: Occurrence Download

description: A dataset containing 2331595 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Retrospective Analysis of Antarctic Tracking (Standardised) Data from the Scientific Committee on Antarctic Research"
 ]
}

 The dataset includes 2331595 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017367-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/135a0bb6-c611-4c2c-823d-a564be119ad8
title: Emerald Network data (vector) - the Pan-European network of protected sites version 2024

description: This metadata refers to the spatial data covering the Emerald Network which is an ecological network made up of Areas of Special Conservation Interest. The objective of the Emerald Network is the long-term survival of the species and habitats. This version covers the reporting in 2024 as adopted by the Standing Committee to the Bern Convention in December 2024.

The Emerald Network consists of the Areas of Special Conservation Interest (ASCI) designated under Recommendation No. 16 (1989) and Resolution No. 3 (1996) of the Standing Committee to the Bern Convention.

The Network is to be set up in each Contracting Party or observer State to the Convention. It thus involves all the European Union member States, some non-Community States and a number of African States. As a Contracting Party, the European Union contributes to the Emerald Network with its Natura 2000 sites.

The Emerald Network aggregated database is updated annually.

Besides the web service link provided in the metadata, the following services provide information on species and habitat types inside the Emerald sites:
https://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/EmeraldSpecies/MapServer
https://bio.discomap.eea.europa.eu/arcgis/rest/services/ProtectedSites/EmeraldHabitats/MapServer
DOI: 10.5281/zenodo.15315468
title: HiACC: Hinglish Adult & Children Code-switched corpus

description: The HiACC corpus is a novel Hinglish code-switched speech dataset featuring both adult and child speakers. It captures naturalistic code-switching through spontaneous responses to everyday questions, story reading, and image-based prompts. The dataset comprises 5.24 hours of segmented audio, including 3,318 utterances from adults and 1,858 from children, all of which have been manually transcribed and annotated for code-switching.
DOI: 10.5281/zenodo.15315469
title: HiTAC: Hinglish Talks: Adult & Children Code-Switched corpus

description: The HiTAC corpus is a novel Hinglish code-switched speech dataset featuring both adult and child speakers. It captures naturalistic code-switching through spontaneous responses to everyday questions, story reading, and image-based prompts. The dataset comprises 5.24 hours of segmented audio, including 3,318 utterances from adults and 1,858 from children, all of which have been manually transcribed and annotated for code-switching.
DOI: 10.5281/zenodo.15551669
title: HiACC: Hinglish Adult & Children Code-switched corpus

description: The HiACC corpus is a novel Hinglish code-switched speech dataset featuring both adult and child speakers. It captures naturalistic code-switching through spontaneous responses to everyday questions, story reading, and image-based prompts. The dataset comprises 5.24 hours of segmented audio, including 3,318 utterances from adults and 1,858 from children, all of which have been manually transcribed and annotated for code-switching.
DOI: 10.15468/dl.bbg227
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "Geometry POLYGON((69.28063 6.94057,79.41344 6.94057,79.41344 25.08984,69.28063 25.08984,69.28063 6.94057))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hystrix indica Kerr, 1792"
 ]
}

 The dataset includes 288 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017371-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231529
title: Replication data for: The Weak Job Recovery in a Macro Model of Search and Recruiting Intensity

description: We show that cyclical fluctuations in search and recruiting intensity are quantitatively important for explaining the weak job recovery from the Great Recession. We demonstrate this result using an estimated labor search model that features endogenous search and recruiting intensity. Since the textbook model with free entry implies constant recruiting intensity, we introduce a cost of vacancy creation, so that firms respond to aggregate shocks by adjusting both vacancies and recruiting intensity. Fluctuations in search and recruiting intensity driven by shocks to productivity and the discount factor help bridge the gap between the actual and model-predicted job filling rate.
DOI: 10.3886/e231529v1
title: Replication data for: The Weak Job Recovery in a Macro Model of Search and Recruiting Intensity

description: We show that cyclical fluctuations in search and recruiting intensity are quantitatively important for explaining the weak job recovery from the Great Recession. We demonstrate this result using an estimated labor search model that features endogenous search and recruiting intensity. Since the textbook model with free entry implies constant recruiting intensity, we introduce a cost of vacancy creation, so that firms respond to aggregate shocks by adjusting both vacancies and recruiting intensity. Fluctuations in search and recruiting intensity driven by shocks to productivity and the discount factor help bridge the gap between the actual and model-predicted job filling rate.
DOI: 10.22003/xfel.eu-data-008055-00
title: Coalescence dynamics of metal oxide clusters probed by time resolved x-ray scattering
DOI: 10.22003/xfel.eu-data-008004-00
title: Attosecond pump-probe x-ray transient-absorption spectroscopy of chemically different oxygen sites in acetic acid by statistical time & frequency analysis
DOI: 10.15468/dl.aumrt8
title: Occurrence Download

description: A dataset containing 766 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ochlerotatus hexodontus)"
 ]
}

 The dataset includes 766 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004808-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb8mbg
title: Occurrence Download

description: A dataset containing 1485344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2026"
 ]
}

 The dataset includes 1485344 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004750-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5h9w3
title: Occurrence Download

description: A dataset containing 1817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ryania speciosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1817 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004809-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18447107
title: SuperDARN data in netCDF format (2010-Jan)

description: 2010-Jan SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'