cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29313044.v1
title: Changes in soil organic and inorganic carbon with elevation in a1dry alpine rangeland of northern Qinghai-Tibetan Plateau

description: It remains unclear how changes in biotic and abiotic factors with elevation would shape the distribution of soil C stocks when plant communities are co-limited by water and low temperature. To address this uncertainty, we systematically set up seven sampling points along an elevational gradient between 3,000 m and 4,000 m above sea level and investigated the patterns of changes with elevation in the surface soil organic C (SOC) and inorganic C (SIC) in the northern part of the Qinghai-Tibet Plateau.
DOI: 10.18712/nsd-nsd3209-v1
title: NOKUT National Student Survey 2022, Primary File

description: The National Student Survey is an annual survey directed at university and college students, conducted by the Norwegian Agency for Quality Assurance in Education (NOKUT) on behalf of the Ministry of Education. The survey asks students about their views on various aspects related to study quality, including teaching, guidance, learning environment, learning outcomes, and other important topics.

The purpose of the survey is to provide a more comprehensive information base for individuals considering a study program and to contribute to quality development efforts at Norwegian universities and colleges. The results are published on a dedicated web portal and distributed through various reports. NOKUT also shares anonymized data with educational institutions and other relevant stakeholders to enable them to conduct their own analyses. Additionally, the data is made available for research through Sikt. 

Nearly 35,000 students responded to the survey in 2022. Just under 7,000 of these were third-year students participating in a pilot for distributing the survey to third-year students. The survey covers study programs at bachelor's and master's levels offered in Norway that last at least three semesters. This includes regular bachelor's and master's studies as well as 4-, 5-, and 6-year professional programs such as teacher education, civil engineering, medicine, veterinary studies, and similar fields.

The National Student Survey 2022 consists of four files. This file is a comprehensive file containing all information on all variables (including subject groups, study programs, and institutions). The file also contains personally identifiable information and is therefore only accessible to individuals or institutions covered by a data processing agreement. To access the dataset, the processing of personal data must be reported to the Norwegian Data Protection Authority or a data protection officer. For institutions with an agreement with Sikt, the project must be reported to Sikt's section for privacy services.
DOI: 10.18712/nsd-nsd3210-v1
title: NOKUT National Student Survey 2022, Subject Groups

description: The National Student Survey is an annual survey directed at university and college students, conducted by the Norwegian Agency for Quality Assurance in Education (NOKUT) on behalf of the Ministry of Education. The survey asks students about their views on various aspects related to study quality, including teaching, guidance, learning environment, learning outcomes, and other important topics.

The purpose of the survey is to provide a more comprehensive information base for individuals considering a study program and to contribute to quality development efforts at Norwegian universities and colleges. The results are published on a dedicated web portal and distributed through various reports. NOKUT also shares anonymized data with educational institutions and other relevant stakeholders to enable them to conduct their own analyses. Additionally, the data is made available for research through Sikt. 

Nearly 35,000 students responded to the survey in 2022. Just under 7,000 of these were third-year students participating in a pilot for distributing the survey to third-year students. The survey covers study programs at bachelor's and master's levels offered in Norway that last at least three semesters. This includes regular bachelor's and master's studies as well as 4-, 5-, and 6-year professional programs such as teacher education, civil engineering, medicine, veterinary studies, and similar fields.

The NOKUT National Student Survey 2022 consists of four data files. This file contains information on subject groups.
DOI: 10.5281/zenodo.15642207
title: Evaluation Data and Scripts for SPLC 2025 Paper "Investigating the Effects of T-Wise Interaction Sampling for Vulnerability Discovery in Highly-Configurable Software Systems"

description: The replication package containing the evaluation data and associated scripts for the SPLC 2025 paper Investigating the Effects of T-Wise Interaction Sampling for Vulnerability Discovery in Highly-Configurable Software Systems.

The evaluation data is located in the data directory, whereas the scripts can be found in the src subdirectory.

Requirements



The evaluation scripts were written for Python 3.10. A tutorial on how it can be installed on an Ubuntu system can be found online.



Note: The sudo add-apt-repository ppa: dead snakes/PPA command referred to in the tutorial should actually be:sudo add-apt-repository ppa:deadsnakes/ppa

If needed, a guide on how a virtual machine running Ubuntu can be set up can be found here.




Execution of the Evaluation Scripts



Download the zipped replication package (see Files section below).



Ensure that there is sufficient disk space available. The replication package has a size of nearly 24GB. 



Unzip the replication package (e.g., via right-click on the file --> Extract Here in a file explorer or the command unzip <filename>.zip -d <destination_folder>).

Install the required Python packages from the requirements.txt file located in the project's top-level directory via pip: python3.10 -m pip install -r /path/to/requirements.txt. If you are shown an /usr/bin/python3.10: No module named pip error, pip first needs to be installed manually, like described below:



Execute: sudo apt update

Execute: sudo apt install python3.10-distutils curl

Execute: curl -sS https://bootstrap.pypa.io/get-pip.py | sudo python3.10



For creating the processed data visualized in the paper via tikz and pgfplots, follow the step-by-step guide in the Evaluation Workflow section of the README.md file located in the project's top-level directory.
DOI: 10.5281/zenodo.15655109
title: Kleve Elefanten-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15655110
title: Kleve Elefanten-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.6084/m9.figshare.29311991
title: <b>Grazing drives shifts in nitrogen allocation strategies across alpine grasslands on the Qinghai-Tibetan Plateau</b>

description: The experimental data cover two years, 2022 and 2023, and mainly include plant community data and soil physical-chemical property data. All the above-mentioned data were obtained through laboratory measurement and analysis by ourselves.
DOI: 10.6084/m9.figshare.29311991.v1
title: <b>Grazing drives shifts in nitrogen allocation strategies across alpine grasslands on the Qinghai-Tibetan Plateau</b>

description: The experimental data cover two years, 2022 and 2023, and mainly include plant community data and soil physical-chemical property data. All the above-mentioned data were obtained through laboratory measurement and analysis by ourselves.
DOI: 10.15468/dl.uuxc8y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Closterium Nitzsch ex Ralfs, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042488-250525065834625/datasets/export for details.
DOI: 10.17632/pxrwhy2ppw
title: Virtual Reality of Labuan Bajo, Indonesia

description: This contains the development of VR for Labuan Bajo's Sustainable Tourism
DOI: 10.17632/pxrwhy2ppw.1
title: Virtual Reality of Labuan Bajo, Indonesia

description: This contains the development of VR for Labuan Bajo's Sustainable Tourism
DOI: 10.15468/dl.6pjzhf
title: Occurrence Download

description: A dataset containing 695274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is AD AVH Data",
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate uncertainty meters invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed swapped coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed negated longitude"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed negated latitude"
 ]
 }
 }
 ]
}

 The dataset includes 695274 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042476-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g62737cvgd
title: Local Government Attention and Renewable Energy Innovation

description: This dataset contains replication codes and data for the paper "Local Government Attention and Renewable Energy Innovation: Evidence from China"
DOI: 10.17632/g62737cvgd.1
title: Local Government Attention and Renewable Energy Innovation

description: This dataset contains replication codes and data for the paper "Local Government Attention and Renewable Energy Innovation: Evidence from China"
DOI: 10.6084/m9.figshare.29313074
title: figsharedata.zip

description: Benchmark dataset is generated using matrix multiplication. CrI3 and Fe3GaTe2 dateset are processed DFT dataset. wo for without high-order term while w for with high-order term
DOI: 10.6084/m9.figshare.29313074.v1
title: figsharedata.zip

description: Benchmark dataset is generated using matrix multiplication. CrI3 and Fe3GaTe2 dateset are processed DFT dataset. wo for without high-order term while w for with high-order term
DOI: 10.15468/dl.ryrmdy
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lemna gibba L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042489-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ymt427t3dm.1
title: Simultaneous Nitrogen Aggregation and Cooling (SNAC) Model

description: The Simultaneous Nitrogen Aggregation and Cooling (SNAC) model can be applied to zoned diamonds to calculate cooling rates and initial temperatures, such that modelled nitrogen aggregation states match those that were measured with FTIR. It requires input of the nitrogen concentrations and corresponding aggregation states of the core and rim of a single diamond, the respective ages of each zone, and the kimberlite eruption age.

We provide a simple version of the model, in which all input parameters (including the cooling rate and initial temperature) can be adjusted manually, and an automated model, which refines the thermal parameters iteratively.

Please consult our paper (Wincott et al., forthcoming) for further detail of how the model works and an example of its application to diamonds from Diavik, Canada.
DOI: 10.6084/m9.figshare.29313086
title: model_output.zip

description: The output code from prompting 4 models to generate code with Security Vulnerabilities
DOI: 10.6084/m9.figshare.29313086.v1
title: model_output.zip

description: The output code from prompting 4 models to generate code with Security Vulnerabilities
DOI: 10.5281/zenodo.15655130
title: Kleve Löwen-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15655131
title: Kleve Löwen-Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.4y2h2f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Closterium Nitzsch ex Ralfs, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042490-250525065834625/datasets/export for details.
DOI: 10.17632/4prx3cr2ss.1
title: FSD & IQ and Environmental degradation

description: The impact of financial development and institutional quality on the environment
DOI: 10.15468/dl.us7a8m
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lemna gibba L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042491-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15655087
title: Fleet model output from 'Modelling the future need for critical raw materials in electric micromobility batteries in Finland'

description: Output from the fleet model, with hopefully self-explanatory file names. In basic info files, obs_sales is the total sales of devices (incl. innovation sales and replacement sales) and battr_sales is the corresponding sales of batteries.
DOI: 10.15468/dl.8qnw48
title: Occurrence Download

description: A dataset containing 5998 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'AS'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 5998 records were derived from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042477-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j8cmn4bjxz
title: Raw data for: Unveiling the Influence of Caffeine on Topiramate: Metabolomic Marker Analysis using Liquid Chromatography-Mass Spectrometry

description: Raw data for study: Unveiling the Influence of Caffeine on Topiramate: Metabolomic Marker Analysis using Liquid Chromatography-Mass Spectrometry
DOI: 10.17632/j8cmn4bjxz.1
title: Raw data for: Unveiling the Influence of Caffeine on Topiramate: Metabolomic Marker Analysis using Liquid Chromatography-Mass Spectrometry

description: Raw data for study: Unveiling the Influence of Caffeine on Topiramate: Metabolomic Marker Analysis using Liquid Chromatography-Mass Spectrometry
DOI: 10.15468/dl.euznu5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Closterium Nitzsch ex Ralfs, 1848",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042493-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15655138
title: Klingenthal Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15655139
title: Klingenthal Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).