cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh518548.07fu
title: SH518548.07FU

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: 10.15156/bio/sh2786327.08fu
title: SH2786327.08FU

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: 10.15156/bio/sh518549.07fu
title: SH518549.07FU

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: 10.5281/zenodo.10977202
title: 4DHydro_Results03_Tetis_Po_7p5sec_daily_exp10_19900101_20221231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 7.5 sec, and temporal resolution daily. Experiment 10

Includes results for the following variables:



Total water storage content in kg m-2
DOI: 10.15468/dl.0g6ybh
title: Occurrence Download

description: A dataset containing 1147 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chamaecyparis formosensis Matsum."
 ]
}

 The dataset includes 1147 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004442-160803222355964/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10904124
title: Estimating Usage Of Open Source Projects - Flutter Telemetry Case Study - MSR' 24

description: This dataset (CSV) was assembled to support analysis within a case study that will be published in the proceedings of the Mining Software Repositories conference (MSR ‘24) April 14-15 2024: Estimating Usage Of Open Source Projects.

This case study explored whether publicly available metrics could serve as proxies to estimate usage of an open source project. Using the Flutter project as our case study, we collected monthly proxy metrics from GitHub, StackOverflow and Slack to compare with Flutter’s monthly active user count over the same time period: January 2018 through February 2021.

All metrics correspond to the last day of the month and/or represent aggregate activity in that month. Data from GitHub shows aggregate activity counts across the entire Flutter GitHub organization (up to 33 repositories). 

Our specific metrics include:








Source



Metric



Aggregation method



Details





Flutter



Monthly Active Users (MAU)



Google internal tooling



Flutter users active in the last 30 days, collected on the last day of each month





GitHub



PullRequest Authors in month



GrimoireLab, hosted by bitergia.com



As Google governs changes to this code base, we excluded known Google employees in code change related metrics 





GitHub



Issues Created in month



GrimoireLab, hosted by bitergia.com

 




GitHub



Issue Authors in month



GrimoireLab, hosted by bitergia.com

 




GitHub



Fork events in month



gharchive.org

 




GitHub



Fork cumulative count at the end of month



gharchive.org

 




StackOverflow



Question Authors in month



GrimoireLab, hosted by bitergia.com

 




StackOverflow



Questions in month



GrimoireLab, hosted by bitergia.com

 




Slack



Claimed (cumulative) members at the end of the month



fluttercommunity.slack

 




Slack



Cumulative messages at the end of the month



fluttercommunity.slack

 





Tools: 





We used an instance of GrimoireLab hosted by Bitergia to aggregate GitHub PullRequest Authors, GitHub Issue Authors, GitHub Issues, across all repositories under the Flutter Organization, and StackOverflow Question Authors, and StackOverflow Questions for questions that mention Flutter. We used the Sorting Hat of feature GrimoireLab to identify Google employees in this sample.







GHArchive via BigQuery was used to count GitHub Star and Fork events across all repositories under the Flutter Organization




We pulled Slack activity directly from Flutter's slack channel dashboard
DOI: 10.5281/zenodo.10904125
title: Estimating Usage Of Open Source Projects - Flutter Telemetry Case Study - MSR' 24

description: This dataset (CSV) was assembled to support analysis within a case study that will be published in the proceedings of the Mining Software Repositories conference (MSR ‘24) April 14-15 2024: Estimating Usage Of Open Source Projects.

This case study explored whether publicly available metrics could serve as proxies to estimate usage of an open source project. Using the Flutter project as our case study, we collected monthly proxy metrics from GitHub, StackOverflow and Slack to compare with Flutter’s monthly active user count over the same time period: January 2018 through February 2021.

All metrics correspond to the last day of the month and/or represent aggregate activity in that month. Data from GitHub shows aggregate activity counts across the entire Flutter GitHub organization (up to 33 repositories). 

Our specific metrics include:








Source



Metric



Aggregation method



Details





Flutter



Monthly Active Users (MAU)



Google internal tooling



Flutter users active in the last 30 days, collected on the last day of each month





GitHub



PullRequest Authors in month



GrimoireLab, hosted by bitergia.com



As Google governs changes to this code base, we excluded known Google employees in code change related metrics 





GitHub



Issues Created in month



GrimoireLab, hosted by bitergia.com

 




GitHub



Issue Authors in month



GrimoireLab, hosted by bitergia.com

 




GitHub



Fork events in month



gharchive.org

 




GitHub



Fork cumulative count at the end of month



gharchive.org

 




StackOverflow



Question Authors in month



GrimoireLab, hosted by bitergia.com

 




StackOverflow



Questions in month



GrimoireLab, hosted by bitergia.com

 




Slack



Claimed (cumulative) members at the end of the month



fluttercommunity.slack

 




Slack



Cumulative messages at the end of the month



fluttercommunity.slack

 





Tools: 





We used an instance of GrimoireLab hosted by Bitergia to aggregate GitHub PullRequest Authors, GitHub Issue Authors, GitHub Issues, across all repositories under the Flutter Organization, and StackOverflow Question Authors, and StackOverflow Questions for questions that mention Flutter. We used the Sorting Hat of feature GrimoireLab to identify Google employees in this sample.







GHArchive via BigQuery was used to count GitHub Star and Fork events across all repositories under the Flutter Organization




We pulled Slack activity directly from Flutter's slack channel dashboard
DOI: 10.15468/dl.3knkdz
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "Geometry POLYGON((6.64138 44.73856,7.96935 44.73856,7.96935 45.27002,6.64138 45.27002,6.64138 44.73856))",
 "HasCoordinate is true",
 "TaxonKey is Zygaena Fabricius, 1775",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 79 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019291-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10056385
title: repository

description: Data for Space Weather paper "Relative Contributions of Field-Aligned Currents and Particle Precipitation to the Inter-Hemispheric Asymmetry at High Latitudes During 2015 St. Patrick Day Storm".
DOI: 10.5281/zenodo.10977475
title: INGLIZ TILI DARSLARI UCHUN AN'ANAVIY O'YINLARNI MOSLASHTIRISH: SAMARALI O'QITISH STRATEGIYALARI
DOI: 10.5281/zenodo.4008427
title: Intervention effect of person profiles for people with advanced dementia: Stepped-wedge cluster randomised trial
title: Improving caring quality for people with dementia in nursing homes using IPOS-Dem

description: Dataset related to study SNCTP000003941

# Project title

Intervention effect of person profiles for people with advanced dementia: Stepped-Wedge Cluster Randomised Trial.

 

# Brief project overview

This is Data coming out of the IPOS-Dem project, a Stepped-wedge Cluster Randomised Trial (SW-CRT). Please make shure to check out the SW-CRT protocol for more details at https://www.doi.org/10.1111/jan.14953.  

 

We are currently working on our main study (SW-CRT) analysis. While we remain dedicated to open science, our priority is to ensure the utmost integrity of our ongoing research.

 

# Contributors

Frank Spichiger, Andrea Koppitz, André Meichtry

 

## Repository overview

|-- readme.md

|-- documentation

  |--readme.md

  |--Datadictionary.html

|-- data

  |--readme.md

  |--IPOS-Dem_CH-SW-CRT_PLD_IPOS-Dem.feather

  |--IPOS-Dem_CH-SW-CRT_PLD_locf_IPOS-Dem.feather

  |--IPOS-Dem_CH-SW-CRT_PLD_Qualidem.feather

  |--IPOS-Dem_CH-SW-CRT_PLD_locf_Qualidem.feather

    |--csv

      |--IPOS-Dem_CH-SW-CRT_PLD_IPOS-Dem.csv

      |--IPOS-Dem_CH-SW-CRT_PLD_locf_IPOS-Dem.csv

      |--IPOS-Dem_CH-SW-CRT_PLD_Qualidem.csv

      |--IPOS-Dem_CH-SW-CRT_PLD_locf_Qualidem.csv

|-- analysis

  |--readme.md

  |--240229_Analysis_Main.html

  |--240229_Analysis_Main.qmd

  |--grateful-refs.bib

    |--output

      |--models-REML.csv

      |--models.csv

      |--subscale_estimates.csv

        |--figures

          |--Datashowcasing-1.png

          |--DEBI-Predictions-Plot-1.png

          |--DPII-Plot-1.png

          |--Model_1-Plots-1.png

          |--Model_1-Plots-2.png

          |--Model_2-Plots-1.png

          |--Model_2-Plots-2.png

          |--Model_3-Plot-1.png

          |--Model_4-Plot-1.png

          |--Model_5-Plot-1.png

 

 

# Applicable instructions

The R markdown files were generated using R 4.2.2 in RStudio 2023.12.1 for MacOS X you can run them using free software but will need to install R, Rstudio and the packages cited at the end of the quarto or the rendered html we used.

 

# Additional resources

- Main study protocol: https://www.doi.org/10.1111/jan.14953

- QUALIDEM measure used: https://doi.org/10.1186/1477-7525-11-91 

- Pos-Pal consortium with more information on the measure: https://www.pos-pal.org

- IPOS-Dem translation and adaption: https://www.doi.org/10.1186/s41687-022-00420-7

- IPOS-Dem inter-rating reliability: https://doi.org/10.1371/journal.pone.0286557
DOI: 10.15468/dl.lii5xd
title: Occurrence Download

description: A dataset containing 1439 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis lupus baileyi Nelson & Goldman, 1929"
 ]
}

 The dataset includes 1439 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004442-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10629206
title: PsySuite: Performing multimodal psychophysical testing within the Android environment

description: Data used for either the hardware or the behavioral validation of the Android APP PsySuite.
DOI: 10.5281/zenodo.10977474
title: INGLIZ TILI DARSLARI UCHUN AN'ANAVIY O'YINLARNI MOSLASHTIRISH: SAMARALI O'QITISH STRATEGIYALARI
DOI: 10.5281/zenodo.7701641
title: PsySuite: Performing multimodal psychophysical testing within the Android environment

description: Data used for either the hardware or the behavioral validation of the Android APP PsySuite.
DOI: 10.15468/dl.yb549x
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "TaxonKey is Leucogeranus leucogeranus (Pallas, 1773)"
 ]
}

 The dataset includes 62 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008295-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10056384
title: repository

description: This is the data for reproducing figures in my paper.
DOI: 10.15468/dl.eswjyi
title: Occurrence Download

description: A dataset containing 3200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Canis latrans Say, 1823"
 ]
}

 The dataset includes 3200 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004442-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnm5da
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Azerbaijan",
 "TaxonKey is Leucogeranus leucogeranus (Pallas, 1773)"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008306-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g8fqg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Accipiter gentilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017980-210914110416597/datasets/export for details.
DOI: 10.15468/dl.ttwf2q
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Malaysia",
 "Country is Singapore",
 "Country is Indonesia",
 "Country is Brunei Darussalam",
 "Country is Philippines",
 "Country is Timor-Leste",
 "Country is Papua New Guinea"
 ]
 },
 "HasCoordinate is true",
 {
 "or" : [
 "TaxonKey is Isoetaceae",
 "TaxonKey is Isoetes L.",
 "TaxonKey is Isoetes"
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 159 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004442-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10966949
title: A new low-carbon project scheduling problem with renewable and traditional energy A comprehensive analysis and its solution

description: The data and related experimental results used in the article
DOI: 10.15468/dl.rnbgoe
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Talisia obovata A.C.Sm."
 ]
}

 The dataset includes 89 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033793-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.so5nji
title: Occurrence Download

description: A dataset containing 988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -82,-180 82,180 82,180 -82,-180 -82))",
 "HasGeospatialIssue is false",
 "DatasetKey is Anfibios y Reptiles del Estado de Tamaulipas, México (UANL)",
 "Elevation is less than or equal to 280.0m"
 ]
}

 The dataset includes 988 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004443-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10966948
title: A new low-carbon project scheduling problem with renewable and traditional energy A comprehensive analysis and its solution

description: The data and related experimental results used in the article
DOI: 10.5281/zenodo.10977547
title: Pyricularia MAX effectors Web Site Archive

description: Collection of validated MAX AlphaFold models
DOI: 10.5281/zenodo.10977768
title: ELTeC for Authorship Attribution

description: Selected texts from multiple ELTeC collections, prepared as simple test datasets for authorship attribution. Each set contains between 24 and 33 novels by 8 to 11 different authors (3 novels per author) in plain text. The languages represented are English, German, French, Hungarian, Portuguese, Slovenian, Romanian.
DOI: 10.5281/zenodo.10977767
title: ELTeC for Authorship Attribution

description: Selected texts from multiple ELTeC collections, prepared as simple test datasets for authorship attribution. Each set contains between 24 and 33 novels by 8 to 11 different authors (3 novels per author) in plain text. The languages represented are English, German, French, Hungarian, Portuguese, Slovenian, Romanian.
DOI: 10.5281/zenodo.10977548
title: Pyricularia MAX effectors Web Site Archive

description: Collection of validated MAX AlphaFold models
DOI: 10.5281/zenodo.10977570
title: Artifact for ACM CSUR article: "A Meta-Study of Software-Change Intentions"

description: This archive includes the CSV files with the raw and aggregated data we used for our meta study:

"A Meta-Study of Software-Change Intentions" published at the ACM Computing Surveys journal.

 

Please refer to the readme for details on the files.
DOI: 10.5281/zenodo.10977571
title: Artifact for ACM CSUR article: "A Meta-Study of Software-Change Intentions"

description: This archive includes the CSV files with the raw and aggregated data we used for our meta study:

"A Meta-Study of Software-Change Intentions" published at the ACM Computing Surveys journal.

 

Please refer to the readme for details on the files.
DOI: 10.5281/zenodo.10937518
title: Data: Ionospheric D-region: Characteristics near Dawn and Dusk
DOI: 10.5281/zenodo.10977709
title: Data: Ionospheric D-region: Characteristics near Dawn and Dusk
DOI: 10.5281/zenodo.10977169
title: Two-dimensional metalorganic ferromagnets

description: Dataset of NiTCNE on Au(111).

XPS, STM, nc-AFM data, XAS/XMCD/XLD spectra and XMCD magnetization data.
DOI: 10.5281/zenodo.10899827
title: Nifty spot, futures and options one-minute data from 2017 to 2020

description: This dataset consists of one-minute trade data of Nifty spot, futures and options for 2017 to 2020.  Options data are organized as: Opt type, strike price, trade dt, trade time, Open, High, Low, Close and volume. Futures data are organized as Nifty_F1, trade date, trade time, Open, High, Low, Close and volume. The yearly options folders are organized into monthly folders. The monthly folders end with the expiration date for that month. Each monthly folder contains separate files for the strike prices traded till the expiration date of that month. For instance, the Nifty11200CE spreadsheet in the December 2019 folder has the one-minute OHLC data  for the 11200  call from 23-Oct-2019 till the expiration date of 26-Dec-2019.
DOI: 10.5281/zenodo.10899828
title: Nifty spot, futures and options one-minute data from 2017 to 2020

description: This dataset consists of one-minute trade data of Nifty spot, futures and options for 2017 to 2020.  Options data are organized as: Opt type, strike price, trade dt, trade time, Open, High, Low, Close and volume. Futures data are organized as Nifty_F1, trade date, trade time, Open, High, Low, Close and volume. The yearly options folders are organized into monthly folders. The monthly folders end with the expiration date for that month. Each monthly folder contains separate files for the strike prices traded till the expiration date of that month. For instance, the Nifty11200CE spreadsheet in the December 2019 folder has the one-minute OHLC data  for the 11200  call from 23-Oct-2019 till the expiration date of 26-Dec-2019.
DOI: 10.5281/zenodo.10977168
title: Two-dimensional metalorganic ferromagnets

description: Dataset of NiTCNE on Au(111).

XPS, STM, nc-AFM data, XAS/XMCD/XLD spectra and XMCD magnetization data.
DOI: 10.5281/zenodo.10929896
title: Test_upload
DOI: 10.5281/zenodo.10929897
title: Test_upload
DOI: 10.5281/zenodo.10977918
title: Baseline of the WEAI for East and West African case studies within EWA-BELT Project

description: The Women’s Empowerment in Agriculture Index (WEAI) is a survey-based tool that measures women’s empowerment and inclusion in agricultural activities.

This database contained the baseline "pre-project activities" collected from October 2022 to January 2023 in 40 households per each Country involved (Ethiopia, Kenya, Tanzania, Burkina, Ghana).  A total of 219 households were involved collecting 381 interviews, in 65 households the primary respondent was a woman, so we had not to interview a male secondary respondent. 

There are 3 types of surveys to calculate the WEAI: the original WEAI, the Accelerated WEAI (A – WEAI) and the PRO WEAI. The original WEAI is the first developed by IFPRI, the A-WEAI is a shorter and faster version, while the PRO WEAI is an extended version aimed to cover more areas of empowerment. We chose A-WEAI because it was faster and simpler to administer, considering that it is the first time for most of the partners to work on this survey and that the participants have already answered to many surveys, hence they might answer with more attention to a short and fast survey.