cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive23740.20240510.9
title: Thalassobacillus hwangdonensis Lee et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23741.20240510.9
title: Amphibacillus indicireducens Hirota et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23742.20240916.9.1
title: Amphibacillus marinus Ren et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23743.20240510.9
title: Gracilibacillus orientalis Carrasco et al. 2006

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23744.20240510.9
title: Gracilibacillus marinus Huang et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23745.20240916.9.1
title: Virgibacillus halotolerans Seiler and Wenning 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23746.20240510.9
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23747.20240916.9.1
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23748.20240510.9
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23749.20240510.9
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23750.20240510.9
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23751.20240510.9
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23752.20240510.9
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23753.20240510.9
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.14609022
title: AI Agents in Chemical Research: GVIM - An Intelligent Research Assistant System

description: This work utilizes collected and organized instructional data from the field of chemical science to fine-tune mainstream open-source large language models. To objectively evaluate the performance of the fine-tuned models, we have developed an automated scoring system specifically for the chemistry domain, ensuring the accuracy and reliability of the evaluation results. Building on this foundation, we have designed an innovative chemical intelligent assistant system. This system employs the fine-tuned Mistral Nemo model as one of its primary models and features a mechanism for flexibly invoking various advanced models. This design fully considers the rapid iteration characteristics of large language models, ensuring that the system can continuously leverage the latest and most powerful AI capabilities.A major highlight of this system is its deep integration of professional knowledge and requirements from the chemistry field. By incorporating specialized functions such as molecular visualization, SMILES string processing, and chemical literature retrieval, the system significantly enhances its practical value in chemical research and applications.More notably, through carefully designed mechanisms for knowledge accumulation, skill acquisition, performance evaluation, and group collaboration, the system can optimize its professional abilities and interaction quality to a certain extent.
DOI: 10.5281/zenodo.14609023
title: AI Agents in Chemical Research: GVIM - An Intelligent Research Assistant System

description: This work utilizes collected and organized instructional data from the field of chemical science to fine-tune mainstream open-source large language models. To objectively evaluate the performance of the fine-tuned models, we have developed an automated scoring system specifically for the chemistry domain, ensuring the accuracy and reliability of the evaluation results. Building on this foundation, we have designed an innovative chemical intelligent assistant system. This system employs the fine-tuned Mistral Nemo model as one of its primary models and features a mechanism for flexibly invoking various advanced models. This design fully considers the rapid iteration characteristics of large language models, ensuring that the system can continuously leverage the latest and most powerful AI capabilities.A major highlight of this system is its deep integration of professional knowledge and requirements from the chemistry field. By incorporating specialized functions such as molecular visualization, SMILES string processing, and chemical literature retrieval, the system significantly enhances its practical value in chemical research and applications.More notably, through carefully designed mechanisms for knowledge accumulation, skill acquisition, performance evaluation, and group collaboration, the system can optimize its professional abilities and interaction quality to a certain extent.
DOI: 10.13145/bacdive23754.20240510.9
title: Jeotgalibacillus marinus (Rüger and Richter 1979) Yoon et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23755.20240916.9.1
title: Terribacillus aidingensis Liu et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23756.20240916.9.1
title: Ureibacillus massiliensis (Glazunova et al. 2006) Gupta and Patel 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23757.20240510.9
title: Lysinibacillus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23758.20240916.9.1
title: Lysinibacillus composti Hayat et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23759.20240916.9.1
title: Ureibacillus sinduriensis (Jung et al. 2012) Gupta and Patel 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23760.20240916.9.1
title: Lysinibacillus contaminans Kämpfer et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23761.20240916.9.1
title: Ureibacillus manganicus (Liu et al. 2013) Gupta and Patel 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23762.20240916.9.1
title: Lysinibacillus pakistanensis Ahmed et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23763.20240510.9
title: Salsuginibacillus halophilus Cao et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23764.20240510.9
title: Tumebacillus flagellatus Wang et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive23765.20240916.9.1
title: Saliterribacillus persicus Amoozegar et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.dvpwb2
title: Occurrence Download

description: A dataset listing the 12 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-117.75982 33.64293,-117.75986 33.64304,-117.76059 33.64283,-117.76015 33.64187,-117.75947 33.64215,-117.75982 33.64293))"
 ]
}

 The dataset's 12 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041325-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1upglc
title: Occurrence Download

description: A dataset containing 3748 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Ensifera ensifera (Boissonneau, 1840)"
 ]
}

 The dataset includes 3748 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004088-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvyf6w
title: Occurrence Download

description: A dataset containing 29155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia dealbata Link, Acacia saligna (Labill.) H.L.Wendl., Acer negundo L., Agave americana L., Ageratina adenophora (Spreng.) R.M.King & H.Rob., Ailanthus altissima (Mill.) Swingle, Amaranthus albus L., Amaranthus blitoides S.Watson, Amaranthus cruentus L., Amaranthus deflexus L., Amaranthus emarginatus Salzm. ex Uline & W.L.Bray, Amaranthus hybridus L., Amaranthus muricatus (Gillies ex Moq.) Hieron., Amaranthus powellii S.Watson, Amaranthus retroflexus L., Amaranthus viridis L.)",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 29155 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095083-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1e0m5a
title: Occurrence Download

description: A dataset containing 10669297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Anas platyrhynchos Linnaeus, 1758)"
 ]
}

 The dataset includes 10669297 records from 1464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041323-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdg7kf
title: Occurrence Download

description: A dataset containing 27117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((279.90967 -0.74705,280.78857 -0.79099,280.78857 -0.08789,279.95361 -0.08789,279.90967 -0.74705))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27117 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004089-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9qcfm
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexanauplia",
 "HasCoordinate is true",
 "Country is one of (Slovenia)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236336-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.webrg6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bulbophyllum schistopetalum Schltr."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104910-230224095556074/datasets/export for details.
DOI: 10.15468/dl.g6bt9u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Remipedia",
 "HasCoordinate is true",
 "Country is one of (Slovenia)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236331-210914110416597/datasets/export for details.
DOI: 10.15468/dl.73gyfs
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-106.66555 19.09522,-103.10293 19.09522,-103.10293 21.56419,-106.66555 21.56419,-106.66555 19.09522))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidochelys olivacea (Eschscholtz, 1829)"
 ]
}

 The dataset includes 290 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014817-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.huafwm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myxozoa",
 "HasCoordinate is true",
 "Country is one of (Slovenia)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236322-210914110416597/datasets/export for details.
DOI: 10.15468/dl.txbvrz
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thymus majkopiensis Klokov & Des.-Shost."
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014775-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2hszs
title: Occurrence Download

description: A dataset containing 14614798 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-4.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2023"
 ]
}

 The dataset includes 14614798 records from 1706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0104902-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7b5pvy
title: Occurrence Download

description: A dataset containing 4182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus californicus Smith, 1854",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1850",
 "StateProvince is California"
 ]
}

 The dataset includes 4182 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008884-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmqy5r
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta gigantea Griff.",
 "OccurrenceStatus is Present",
 "Country is not null",
 "Year is not null"
 ]
}

 The dataset includes 46 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008885-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk6emn
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crepis pusilla (Sommier) Merxm.",
 "OccurrenceStatus is Present",
 "Country is not null",
 "Year is not null"
 ]
}

 The dataset includes 97 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008886-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqh4z3
title: Occurrence Download

description: A dataset containing 736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tilia tuan Szyszyl.",
 "OccurrenceStatus is Present",
 "Country is not null",
 "Year is not null"
 ]
}

 The dataset includes 736 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008887-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13710780
title: Supplementary data and code to "Cellular location shapes quaternary structure of enzymes" by György Abrusán and Aleksej Zelezniak

description: Scripts and high-level data to reproduce the figures and supplementary figures of "Cellular location shapes quaternary structure of enzymes" by György Abrusán and Aleksej Zelezniak. Nature Communications (2024) 15:8505.
DOI: 10.5281/zenodo.11410391
title: Supplementary data and code to "Cellular location shapes quaternary structure of enzymes" by György Abrusán and Aleksej Zelezniak

description: Scripts and high-level data to reproduce the figures and supplementary figures of "Cellular location shapes quaternary structure of enzymes" by György Abrusán and Aleksej Zelezniak. Nature Communications (2024) 15:8505.
DOI: 10.5281/zenodo.11410392
title: Supplementary data and code to "Cellular location shapes quaternary structure of enzymes" by György Abrusán and Aleksej Zelezniak

description: Scripts and high-level data to reproduce the figures and supplementary figures of "Cellular location shapes quaternary structure of enzymes" by György Abrusán and Aleksej Zelezniak.
DOI: 10.3886/e209610
title: Narrow Margins and Misinformation: The Impact of Sharing Fake News in Close Contests

description: This study investigates the impact of candidates disseminating fake news on voter behavior and electoral outcomes in highly competitive, partisan races. While the effects of fake news on electoral outcomes have been studied, research has yet to examine the impact of candidates' strategic use of fake news in elections where it may have the greatest impact—close races. The research explores whether the use of fake news influences voter support, particularly among independent voters, in tightly contested elections. Through a conjoint survey experiment involving participants from Amazon MTurk, the study analyzes how variables such as race competitiveness, perceived risk of alienating independents, and the presence of partisan labels affect voter responses to candidates who spread misinformation. The findings indicate that while the competitiveness of a race does not significantly enhance support for candidates sharing fake news, the presence of partisan labels does. These results suggest that voter behavior in response to fake news is more closely tied to partisan identity than to strategic electoral considerations. The study highlights the complex dynamics of misinformation in electoral contexts and its implications for democratic processes.
DOI: 10.3886/e209610v1
title: Narrow Margins and Misinformation: The Impact of Sharing Fake News in Close Contests

description: This study investigates the impact of candidates disseminating fake news on voter behavior and electoral outcomes in highly competitive, partisan races. While the effects of fake news on electoral outcomes have been studied, research has yet to examine the impact of candidates' strategic use of fake news in elections where it may have the greatest impact—close races. The research explores whether the use of fake news influences voter support, particularly among independent voters, in tightly contested elections. Through a conjoint survey experiment involving participants from Amazon MTurk, the study analyzes how variables such as race competitiveness, perceived risk of alienating independents, and the presence of partisan labels affect voter responses to candidates who spread misinformation. The findings indicate that while the competitiveness of a race does not significantly enhance support for candidates sharing fake news, the presence of partisan labels does. These results suggest that voter behavior in response to fake news is more closely tied to partisan identity than to strategic electoral considerations. The study highlights the complex dynamics of misinformation in electoral contexts and its implications for democratic processes.
DOI: 10.15468/dl.y22fz2
title: Occurrence Download

description: A dataset containing 3610 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 {
 "or" : [
 "Geometry POLYGON((-126.35113 40.51216,-119.6845 40.51216,-119.6845 49.17879,-126.35113 49.17879,-126.35113 40.51216))",
 "Geometry POLYGON((-97.51795 26.6789,-82.68469 26.6789,-82.68469 35.01219,-97.51795 35.01219,-97.51795 26.6789))"
 ]
 },
 "TaxonKey is Myocastor coypus (Molina, 1782)"
 ]
}

 The dataset includes 3610 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008888-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmmcwt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cuscuta gennesaretana Sroëlov ex Feinbr. & S.Taub",
 "OccurrenceStatus is Present",
 "Country is not null",
 "Year is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008890-241007104925546/datasets/export for details.