cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g26hrg
title: Occurrence Download

description: A dataset containing 11405 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Loxosceles Heineken & Lowe, 1832"
 ]
}

 The dataset includes 11405 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037190-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx66mc
title: Occurrence Download

description: A dataset containing 16710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibia",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 16710 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037191-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x92rtw
title: Occurrence Download

description: A dataset containing 6078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ARG, CHL, PRY, URY, FLK, BRA.21_1, BRA.16_1, BRA.24_1)",
 "TaxonKey is Boraginaceae"
 ]
}

 The dataset includes 6078 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037192-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yeuszh
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudochazara euxina (Kuznetsov, 1909)"
 ]
}

 The dataset includes 16 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037193-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13830652
title: Fast and Accurate Prediction of Tautomer Ratios in Aqueous Solution via a Siamese Neural Network

description: Tautomerization plays a critical role in many chemical and biological processes, impacting the molecular stability, reactivity, biological activity, and ADME-Tox properties. Many drug-like molecules exist in multiple tautomeric states in aqueous solutions and complicating drug discovery. Predicting these tautomeric ratios and identifying the predominant species rapidly and accurately is crucial for computational drug discovery. In this study, we introduce sPhysNet-Taut, a deep learning model fine-tuned with experimental data leveraging the Siamese network. This model predicts tautomer ratios in aqueous solution using MMFF94-optimized geometries directly. On an experimental test set, sPhysNet-Taut surpasses all other methods, achieving state-of-the-art performance with an RMSE of 1.9 kcal/mol on the 100-tautomers set and an RMSE of 1.0 kcal/mol on the SAMPL2 challenge, and providing the best ranking power for tautomer pairs. Additionally, our results demonstrate that fine-tuning on experimental data significantly improves model performance compared to training from scratch. This work not only provides a useful deep learning model for predicting tautomer ratios, but also provides a protocol for modeling pairwise data. To facilitate user-friendliness, we developed a readily accessible tool to predict stable tautomeric states in aqueous solutions, enumerating all possible tautomeric states and ranking them using the sPhysNet-Taut model.
DOI: 10.5281/zenodo.13830653
title: Fast and Accurate Prediction of Tautomer Ratios in Aqueous Solution via Siamese Network

description: Tautomerization plays a critical role in many chemical and biological processes, impacting the molecular stability, reactivity, biological activity, and ADME-Tox properties. Many drug-like molecules exist in multiple tautomeric states in aqueous solutions and complicating drug discovery. Predicting these tautomeric ratios and identifying the predominant species rapidly and accurately is crucial for computational drug discovery. In this study, we introduce sPhysNet-Taut, a deep learning model fine-tuned with experimental data leveraging the Siamese network. This model predicts tautomer ratios in aqueous solution using MMFF94-optimized geometries directly. On an experimental test set, sPhysNet-Taut surpasses all other methods, achieving state-of-the-art performance with an RMSE of 1.9 kcal/mol on the 100-tautomers set and an RMSE of 1.0 kcal/mol on the SAMPL2 challenge, and providing the best ranking power for tautomer pairs. Additionally, our results demonstrate that fine-tuning on experimental data significantly improves model performance compared to training from scratch. This work not only provides a useful deep learning model for predicting tautomer ratios, but also provides a protocol for modeling pairwise data. To facilitate user-friendliness, we developed a readily accessible tool to predict stable tautomeric states in aqueous solutions, enumerating all possible tautomeric states and ranking them using the sPhysNet-Taut model.
DOI: 10.5281/zenodo.13870370
title: Fast and Accurate Prediction of Tautomer Ratios in Aqueous Solution via a Siamese Neural Network

description: Tautomerization plays a critical role in many chemical and biological processes, impacting the molecular stability, reactivity, biological activity, and ADME-Tox properties. Many drug-like molecules exist in multiple tautomeric states in aqueous solutions and complicating drug discovery. Predicting these tautomeric ratios and identifying the predominant species rapidly and accurately is crucial for computational drug discovery. In this study, we introduce sPhysNet-Taut, a deep learning model fine-tuned with experimental data leveraging the Siamese network. This model predicts tautomer ratios in aqueous solution using MMFF94-optimized geometries directly. On an experimental test set, sPhysNet-Taut surpasses all other methods, achieving state-of-the-art performance with an RMSE of 1.9 kcal/mol on the 100-tautomers set and an RMSE of 1.0 kcal/mol on the SAMPL2 challenge, and providing the best ranking power for tautomer pairs. Additionally, our results demonstrate that fine-tuning on experimental data significantly improves model performance compared to training from scratch. This work not only provides a useful deep learning model for predicting tautomer ratios, but also provides a protocol for modeling pairwise data. To facilitate user-friendliness, we developed a readily accessible tool to predict stable tautomeric states in aqueous solutions, enumerating all possible tautomeric states and ranking them using the sPhysNet-Taut model.
DOI: 10.60520/ieda/113480
title: Raspas Complex minerals EMPA data

description: The following datasets contain Electron Microprobe (EMP) data of minerals found in metaperidotites and a metagabbroic dike found in the Raspas Complex, Ecuador. The data were used to carry out a petrological study of an exhumed eclogite-facies slab sliver.
DOI: 10.60520/ieda/113481
title: Whole-rock major (XRF) and trace element (LA-ICP-MS) data of Raspas Complex

description: The following dataset contains whole-rock major and trace element data of metaperidotites and metagabbro samples from the Raspas Complex, measured by XRF and LA-ICP-MS
DOI: 10.60520/ieda/113482
title: In-situ Boron isotopes (δ11B) measured by LA-MC-ICP-MS of Raspas Complex

description: The following dataset contains in-situ boron isotope data measured on mineral phases from metaperidotites of the Raspas Complex, Ecuador. Mineral abbreviations from Warr (2021).
DOI: 10.5281/zenodo.13871741
title: Do Current Language Models Support Code Intelligence for R Programming Language?

description: This is the dataset used in the paper: Do Current Language Models Support Code Intelligence for Programming Language?

 

This dataset contains code snippets from R programming language repositories on GitHub, paired with their corresponding natural language (NL) descriptions. It was created for research in software engineering tasks like code summarization and code search. The data was collected using the GitHub REST API and includes over 1,500 public R repositories. To ensure quality, only active, well-structured R packages with proper documentation were included. Roxygen2, a popular documentation framework, was used to extract both the code and its matching NL descriptions.

The dataset is organized into three parts: base R functions (Base), functions from the tidyverse (Tidy), and a combined set (RCombine). The dataset follows the CodeSearchNet format, with a split for training, validation, and testing data, ensuring no duplicate functions.
DOI: 10.5281/zenodo.13871742
title: Do Current Language Models Support Code Intelligence for R Programming Language?

description: This is the dataset used in the paper: Do Current Language Models Support Code Intelligence for Programming Language?

 

This dataset contains code snippets from R programming language repositories on GitHub, paired with their corresponding natural language (NL) descriptions. It was created for research in software engineering tasks like code summarization and code search. The data was collected using the GitHub REST API and includes over 1,500 public R repositories. To ensure quality, only active, well-structured R packages with proper documentation were included. Roxygen2, a popular documentation framework, was used to extract both the code and its matching NL descriptions.

The dataset is organized into three parts: base R functions (Base), functions from the tidyverse (Tidy), and a combined set (RCombine). The dataset follows the CodeSearchNet format, with a split for training, validation, and testing data, ensuring no duplicate functions.
DOI: 10.60520/ieda/113447
title: Data for Mauna Loa (Island of Hawai‘i) 2022 eruption

description: Data for Mauna Loa (Island of Hawai‘i) 2022 eruption includes: methods metadata, electron probe microanalysis of glass and olivine compositions with associated secondary standards, electron backscatter diffraction data for olivine and pyroxene crystals, diffusion modeling timescales, raman spectroscopy fluid inclusion data, fluid inclusion re-equilibration simulation results, syn-eruptive multi-GAS data, bibliography summary of historically active volcanoes and diffusion studies on them, and individual mineral core-to-rim profiles with modeling inputs and outputs.
description: Lynn, K.J., Downs, D.T., Trusdell, F.A., Wieser, P.E., Rangel, B., Hotovec-Ellis, A., Bennington, N., Anderson, K.A., Ruth, D.C.S., DeVitre, C., Ellis, A.P., Nadeau, P.A., Clor, L., Kelly, P. (accepted) Triggering an eruption at Mauna Loa, Earth’s largest volcano. Nature Communications.
DOI: 10.15468/dl.z4xztf
title: Occurrence Download

description: A dataset containing 498621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haliaeetus albicilla (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018"
 ]
}

 The dataset includes 498621 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037144-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mry5s8
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lophornis brachylophus R.T.Moore, 1949"
 ]
}

 The dataset includes 229 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037199-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrhx7a
title: Occurrence Download

description: A dataset containing 356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Hyalomma aegyptium Linnaeus, 1758"
 ]
}

 The dataset includes 356 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037198-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4tef6
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Metynnis hypsauchen (Müller & Troschel, 1844)"
 ]
}

 The dataset includes 503 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037197-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4hj39
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.52150 -19.78215,-40.85886 -19.78215,-40.85886 -16.71841,-48.52150 -16.71841,-48.52150 -19.78215))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Comanthera elegans (Bong.) L.R.Parra & Giul."
 ]
}

 The dataset includes 69 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037200-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trcye8
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poecilimon pliginskii Miram, 1929"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037201-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rh5565
title: Occurrence Download

description: A dataset containing 4848 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apomys Mearns, 1905"
 ]
}

 The dataset includes 4848 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037195-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pehf8
title: Occurrence Download

description: A dataset containing 9404 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linum austriacum L."
 ]
}

 The dataset includes 9404 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037202-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nigbyo
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-107.07275 22.75592,-100.39307 22.75592,-100.39307 30.33495,-107.07275 30.33495,-107.07275 22.75592))",
 "TaxonKey is Prosopis L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 307 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026522-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f56f6v
title: Occurrence Download

description: A dataset containing 5365 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galium verrucosum Huds."
 ]
}

 The dataset includes 5365 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209835-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyp556
title: Occurrence Download

description: A dataset containing 5309322 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Megaceryle alcyon (Linnaeus, 1758)"
 ]
}

 The dataset includes 5309322 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035630-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m57jye
title: Occurrence Download

description: A dataset listing the 16 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.37045 25.35233,-97.51877 25.56107,-97.72751 25.44571,-97.74399 25.21225,-97.75223 24.89639,-97.77145 24.50638,-97.7742 24.17953,-97.76871 23.82797,-97.73849 23.80325,-97.70279 24.33609,-97.66708 24.53934,-97.65335 24.61624,-97.55447 24.95407,-97.37045 25.35233))",
 "TaxonKey is Elasmobranchii"
 ]
}

 The dataset's 16 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026522-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9w93h
title: Occurrence Download

description: A dataset containing 3689 species occurrences available in GBIF matching the query:
{
 "CollectionCode" : [
 "is BC-FX. Bolòs"
 ]
}

 The dataset includes 3689 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010655-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzvrdn
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium vallfogonense Mateo, Egido & Gómiz"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021236-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvnbmy
title: Occurrence Download

description: A dataset containing 690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Streptopelia turtur (Linnaeus, 1758)",
 "Year 2013-2013"
 ]
}

 The dataset includes 690 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0152376-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qieoue
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Polistes carnifex (Fabricius, 1775)"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026523-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10930821
title: Comprehensive Collection of English, German, Russian and Ukrainian Tweets Containing the Word or Hashtag Ukraine During the Russian Invasion, February 2022 until May 2023

description: Comprehensive dataset of Tweets containing the keyword 'ukraine' (in German, Russian and Ukrainian) as well as '#ukraine' (in English) since the Russian Ukraine Invasion in February 2022. The user handle column has been excluded to protect deleted accounts that have not been retweeted or replied to. Tweets have been collected via the Academic API using the Search endpoint in four languages:




Language
Query
 Name in Dataset (column: event)  
Number of Tweets


English
#ukraine AND lang='en' 
ukraine-en-hashtag
45.8 million


German
ukraine AND lang='de' 
ukraine
19.6 million


Russian
Украина AND lang:ru 
ukraine-ru
5.02 million


Ukrainian
Україна AND lang:uk 
ukraine-uk
4.1 million




Collection dates

Details on collection dates per Tweet (e.g. to compare with creation dates) as well as the IDs of Tweets for consistency checks can be found here: https://github.com/Leibniz-HBI/ukraine_twitter_data (https://doi.org/10.17605/OSF.IO/RTQXN)

File Naming Scheme

To enable downloads of selected timeframes and languages, the files are named by language, start and end date of the tweet creation timestamp.

Columns

The following columns are available:



event: tag for query and language used for the query

id: Tweet ID

inserted_at: collection date

last_updated_at: last update date (relevant for metrics such as follower count)

text: Tweet text

lang: language as determined by Twitter

created_at: creation date of the Tweet

conversation_id: Tweets with the same ID are part of the same reply tree to a tweet (provided by Twitter)

author_follower_count: follower count of the Tweet's author account at the creation or last update time of the tweet

replied_to: account the Tweet replies to

replied_to_follower_count: follower count of the Tweet's replied to account at the creation or last update time of the tweet

quoted: if quote tweet, ID of quoted tweet

quoted_follower_count: analog to replied_to_follower_count

retweeted: analog to quoted

retweeted_follower_count: analog to replied_to_follower_count

hashtags: hashtags of the Tweet

urls: URLs in the tweet, shortened/unshortened, including links to media

place_id: alphanumeric place ID provided by the Twitter API, mostly empty