cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2naatf
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micromeria elliptica K.Koch"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039809-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtz535
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Masdevallia mooreana Rchb.f."
 ]
}

 The dataset includes 16 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020183-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6jc8y
title: Occurrence Download

description: A dataset containing 576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sedum alfredii Hance"
 ]
}

 The dataset includes 576 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263691-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rryr6
title: Occurrence Download

description: A dataset containing 954 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acropora intermedia (Brook, 1891)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 954 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038824-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trzbj4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Masdevallia vexillifera Luer"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020493-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w76y35
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micromeria brivesii Batt."
 ]
}

 The dataset includes 19 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039790-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7r2nwx
title: Occurrence Download

description: A dataset containing 20414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PRT",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gyps fulvus (Hablizl, 1783)",
 "Year 1993-2023"
 ]
}

 The dataset includes 20414 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263692-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8y228
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Ptychadena tellinii (Peracca, 1904)"
 ]
}

 The dataset includes 56 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038823-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqet9h
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micromeria browiczii Ziel. & Kit Tan"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039791-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s3nag
title: Occurrence Download

description: A dataset containing 3945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen, Occurrence evidence, Material sample)",
 "Continent is Europe",
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Zoantharia, Scleractinia, Corallimorpharia, Antipatharia, Actiniaria)"
 ]
}

 The dataset includes 3945 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261112-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbfwrj
title: Occurrence Download

description: A dataset containing 9350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Malus sieversii (Ledeb.) Roem."
 ]
}

 The dataset includes 9350 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263702-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f5uzj
title: Occurrence Download

description: A dataset containing 4299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ateles belzebuth É.Geoffroy Saint-Hilaire, 1806, Cebus albifrons (Humboldt, 1812), Saimiri sciureus (Linnaeus, 1758), Ateles fusciceps Gray, 1866, Lagothrix lagotricha (Humboldt, 1812), Alouatta palliata (Gray, 1849))",
 "Year 2018-2023"
 ]
}

 The dataset includes 4299 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261137-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rcnarm
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micromeria fontanesii K.Koch"
 ]
}

 The dataset includes 44 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039815-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddmhu9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barleria lukafuensis De Wild."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038830-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqw9em
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Masdevallia rosea Lindl."
 ]
}

 The dataset includes 65 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020334-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fevx8s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micromeria ×intermedia G.Kunkel & P.Pérez"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039830-230530130749713/datasets/export for details.
DOI: 10.15468/dl.p4wa58
title: Occurrence Download

description: A dataset listing the 2802 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus L."
 ]
}

 The dataset's 2802 records were derived from 3755 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261103-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrvr38
title: Occurrence Download

description: A dataset containing 881736 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arecaceae"
 ]
}

 The dataset includes 881736 records from 880 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016750-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z84hkh
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bonasa sewerzowi (Przewalski, 1876)"
 ]
}

 The dataset includes 331 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0204376-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wew9vs
title: Occurrence Download

description: A dataset containing 6388701 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Continent is North America",
 "Continent is South America"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 6388701 records from 430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185034-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gexvma
title: Occurrence Download

description: A dataset containing 2103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vitis rupestris Scheele"
 ]
}

 The dataset includes 2103 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049444-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpn5oq
title: Occurrence Download

description: A dataset containing 635 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthus nilghiriensis Sharpe, 1885"
 ]
}

 The dataset includes 635 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016750-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzmwmf
title: Occurrence Download

description: A dataset containing 4330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Haplocladium microphyllum (Sw. ex Hedw.) Broth."
 ]
}

 The dataset includes 4330 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156238-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4eyfj
title: Occurrence Download

description: A dataset containing 1207 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bursera copallifera (Moc. & Sessé ex DC.) Bullock"
 ]
}

 The dataset includes 1207 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210259-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvm6j4
title: Occurrence Download

description: A dataset listing the 7810 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 7810 records were derived from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192279-200613084148143/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.28624694
title: Comparison of Six-week Velocity-Based Training versus Percentage-Based Training Programs on Lower-Body Strength and Sticking Region in Squat Exercises

description: This study compared the effects of Velocity-Based Training (VBT) and Percentage-Based Training (PBT) on lower-body strength and the sticking region in squat exercises among resistance-trained males over six weeks intervention. Twenty resistance-trained males were randomized to train under a 10% velocity loss threshold VBT group(n=10, Age = 21.96 ± 2.27, height = 1.79 ± 0.04 m, weight = 70.98 ± 6.16 kg) or traditional PBT group (n=10, Age = 22.12 ± 2.38, height = 1.78 ± 0.02 m, weight = 74.14 ± 4.87 kg), each training twice weekly for six weeks. The study measured changes in squat one-repetition maximum (1RM), relative strength, countermovement jump (CMJ), standing long jump (SLJ), duration of the sticking region, and average velocity in the sticking region using pre-test and post-test. Results indicated significant improvements in squat 1RM, relative strength, and CMJ for both groups, with no significant changes in sticking region velocity (p &gt; 0.05). Except for squat 1RM improvements (p &lt; 0.01), no other significant differences were noted between groups post-intervention (p &gt; 0.05). In conclusion, both interventions significantly enhanced lower-body strength, with the VBT regimen showing greater effectiveness. Neither approach significantly altered the duration or velocity of the sticking region, though the PBT regimen yielded more favorable improvements in sticking region performance. These findings suggest that differences in muscle adaptation and strength qualities between regimens might explain the varied impacts on the sticking region. Future research could explore these aspects to further refine training strategies for improving sticking region performance across various movement phases.<br><br>Data collection device: https://www.mdpi.com/1424-8220/23/5/2435This study is being submitted for publication, and more details will be updated after acceptance.<br>
DOI: 10.5281/zenodo.15148284
title: Assessing Software Evolution with the Stickiness Score: Evaluating Code Persistence Across Files, Folders, and Developers- Replication Package

description: This package contains data and source code for the Devotion backend, frontend, and hypothesis testing. It is organized into two main folders:



Devotion: Contains the source code for both the frontend and backend of Devotion.

Hypothesis_Testing: Includes the preprocess-input folder, where Devotion’s output files are processed for hypothesis testing. The tokens folder requires a Git token. Other subfolders contain data, source code for hypothesis testing, test results, and plots corresponding to research questions.


Below are the instructions for running the Python scripts.



Instructions






Prerequisites


Before running the backend, install these dependencies using the following command:



pip install -r ./Devotion/requirements.txt

 




Running the Backend


To run the backend of Devotion, navigate to the Devotion folder and use the following command:



cd ./Devotion
python ./runner.py <GitHub_Repo_URL> <Log_File_Name>

 




Running the Web Application


Before starting the web application, ensure all dependencies are installed by running:



npm install

 


To start the web application of Devotion, navigate to the client folder and run:



cd ./Devotion/frontend/client
npm run start

 




Running the Hypothesis Testing Code






Write your GitHub token:



Save your GitHub token in the Hypothesis_Testing/tokens/github-token.txt file to allow the scripts to access the GitHub API.





Place the required files:



Copy authors.json and folder_structure.json from the Devotion/frontend/client/src folder into the Hypothesis_Testing/preprocess-input folder, inside a new folder named after your project.





Execute the hypothesis testing for each research question:



First, run the Python script located in the preprocess folder.

Then, run the Python script in the hypothesis folder.





Output:



Results, including data points, plots, and the outcomes of normality and correlation tests, will be saved in the hypothesis-output folder.
DOI: 10.5281/zenodo.15148285
title: Assessing Software Evolution with the Stickiness Score: Evaluating Code Persistence Across Files, Folders, and Developers- Replication Package

description: This package contains data and source code for the Devotion backend, frontend, and hypothesis testing. It is organized into two main folders:



Devotion: Contains the source code for both the frontend and backend of Devotion.

Hypothesis_Testing: Includes the preprocess-input folder, where Devotion’s output files are processed for hypothesis testing. The tokens folder requires a Git token. Other subfolders contain data, source code for hypothesis testing, test results, and plots corresponding to research questions.


Below are the instructions for running the Python scripts.



Instructions






Prerequisites


Before running the backend, install these dependencies using the following command:



pip install -r ./Devotion/requirements.txt

 




Running the Backend


To run the backend of Devotion, navigate to the Devotion folder and use the following command:



cd ./Devotion
python ./runner.py <GitHub_Repo_URL> <Log_File_Name>

 




Running the Web Application


Before starting the web application, ensure all dependencies are installed by running:



npm install

 


To start the web application of Devotion, navigate to the client folder and run:



cd ./Devotion/frontend/client
npm run start

 




Running the Hypothesis Testing Code






Write your GitHub token:



Save your GitHub token in the Hypothesis_Testing/tokens/github-token.txt file to allow the scripts to access the GitHub API.





Place the required files:



Copy authors.json and folder_structure.json from the Devotion/frontend/client/src folder into the Hypothesis_Testing/preprocess-input folder, inside a new folder named after your project.





Execute the hypothesis testing for each research question:



First, run the Python script located in the preprocess folder.

Then, run the Python script in the hypothesis folder.





Output:



Results, including data points, plots, and the outcomes of normality and correlation tests, will be saved in the hypothesis-output folder.
DOI: 10.13145/bacdive120672.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive120673.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0112321.10fu
title: SH0112321.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive120673.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive120674.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0112322.10fu
title: SH0112322.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive120674.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive120675.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.