cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zak42b
title: Occurrence Download

description: A dataset containing 13390 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Casuarina equisetifolia L."
 ]
}

 The dataset includes 13390 records from 577 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101541-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkefmt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudophilautus dayawansai Wickramasinghe, Vidanapathirana, Rajeev, Ariyarathne, Chanaka, Priyantha, Bandara et al., 2013)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101543-240626123714530/datasets/export for details.
DOI: 10.15468/dl.aybw3h
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geostiba numantensis Pace, 1983",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101542-240626123714530/datasets/export for details.
DOI: 10.15468/dl.xz68gw
title: Occurrence Download

description: A dataset containing 66 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Ctenoscia minima (Dollfus, 1892)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 66 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101544-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74zyk2
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Collinsia borea (L.Koch, 1879)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101546-240626123714530/datasets/export for details.
DOI: 10.15468/dl.u988vz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lubricus Li, 2002",
 "Country is Brazil",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101547-240626123714530/datasets/export for details.
DOI: 10.15468/dl.e8wv7n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudophilautus jagathgunawardanai Wickramasinghe, Vidanapathirana, Rajeev, Ariyarathne, Chanaka, Priyantha, Bandara et al., 2013)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101548-240626123714530/datasets/export for details.
DOI: 10.15468/dl.zqz7j7
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Geostiba pluricarinata Pace, 2002",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101549-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ynubbn
title: Occurrence Download

description: A dataset containing 3 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lepidoniscus pruinosus (Carl, 1908)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101550-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gj5sz4
title: Occurrence Download

description: A dataset containing 799340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cisticola juncidis (Rafinesque, 1810)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 799340 records from 1346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101524-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc28bwzh
title: CCDC 2095847: Experimental Crystal Structure Determination

description: Related Article: Ayan Dasgupta, Rasool Babaahmadi, Sanjukta Pahar, Katarina Stefkova, Lukas Gierlichs, Brian F. Yates, Alireza Ariafard, Rebecca L. Melen|2021|Angew.Chem.,Int.Ed.|60|24395|doi:10.1002/anie.202109744
DOI: 10.5517/ccdc.csd.cc20t4yy
title: CCDC 1871220: Experimental Crystal Structure Determination

description: Related Article: Haiyun Yao, Guillaume Calvez, Carole Daiguebonne, Yan Suffren, Kevin Bernot, Olivier Guillou|2021|Inorg.Chem.|60|16782|doi:10.1021/acs.inorgchem.1c02662
DOI: 10.5517/ccdc.csd.cc28dttb
title: CCDC 2097702: Experimental Crystal Structure Determination

description: Related Article: Tomoya Mashiko, Yuta Shingai, Jun Sakai, Shogo Kamo, Shinya Adachi, Akinobu Matsuzawa, Kazuyuki Sugita|2021|Angew.Chem.,Int.Ed.|60|24484|doi:10.1002/anie.202110556
DOI: 10.5517/ccdc.csd.cc28dtyg
title: CCDC 2097706: Experimental Crystal Structure Determination

description: Related Article: Tomoya Mashiko, Yuta Shingai, Jun Sakai, Shogo Kamo, Shinya Adachi, Akinobu Matsuzawa, Kazuyuki Sugita|2021|Angew.Chem.,Int.Ed.|60|24484|doi:10.1002/anie.202110556
DOI: 10.34740/kaggle/dsv/2807935
title: Output off VDD experiments
DOI: 10.6084/m9.figshare.16967530
title: KEMΦ - Hauptstudie Modul 2 PL (Audio)

description: Dieses Paket enthält die Audioaufnahmen zum Modul 2 (Problemlösen) der Hauptstudie.<br>Die Evaluation der Wirksamkeit der Ausbildung an deutschen Hochschulen stellt ein wichtiges Ziel der aktuellen fachdidaktischen Forschung dar. In diesem Zuge zeigen sichim Fach Physik sowohl in den Lehramts- als auch in den Fach-Studiengängen eine Reihe von Problemen: Wie in allen MINT-Fächern liegt die Studienabbruch- und Schwundquote übermäßig hoch, wobei Leistungsprobleme und nicht bestandene Prüfungsleistungen immer häufiger als Gründe genannt werden. Hier scheint insbesondere die Studieneingangsphase einen kritischen Zeitraum darzustellen. Studien im Lehramts-Bereich zeigen im Laufe des Studiums immer größer werdende Leistungsdisparität zwischen unterschiedlich fähigen Studierendengruppen. Für das fachliche Wissen zeigt sich (Woitkowski & Riese, 2017), dass auch nach angemessener Studiendauer bis zu einem Drittel der Studierenden einen problematischen Wissensstand aufweisen. Maßnahmen zur Verbesserungder Situation sind bisher vor allem normativ begründet und stützen sich nur in wenigen Fällen auf empirische Erkenntnisse.An diesem Punkt setzt das vorliegende Projektan, indem eine breitere empirische Basis an Informationen über das Physiklernen im ersten Studienjahr erstellt wird. Eine längsschnittliche Erhebung der Komplexität desbei den Studierenden vorhandenen Fachwissens sowie eine Erhebung von Problemschemata, die zur Bearbeitung komplexer Probleme (wie z.B. auf Übungszetteln) eingesetzt werden können, liefern wesentliche Daten, um die Entwicklungsverläufe in dieser Phase differenzierter nachzuvollziehen und Entwicklungsdeterminanten zu identifizieren.
DOI: 10.6084/m9.figshare.16967530.v1
title: KEMΦ - Hauptstudie Modul 2 PL (Audio)

description: Dieses Paket enthält die Audioaufnahmen zum Modul 2 (Problemlösen) der Hauptstudie.<br>Die Evaluation der Wirksamkeit der Ausbildung an deutschen Hochschulen stellt ein wichtiges Ziel der aktuellen fachdidaktischen Forschung dar. In diesem Zuge zeigen sichim Fach Physik sowohl in den Lehramts- als auch in den Fach-Studiengängen eine Reihe von Problemen: Wie in allen MINT-Fächern liegt die Studienabbruch- und Schwundquote übermäßig hoch, wobei Leistungsprobleme und nicht bestandene Prüfungsleistungen immer häufiger als Gründe genannt werden. Hier scheint insbesondere die Studieneingangsphase einen kritischen Zeitraum darzustellen. Studien im Lehramts-Bereich zeigen im Laufe des Studiums immer größer werdende Leistungsdisparität zwischen unterschiedlich fähigen Studierendengruppen. Für das fachliche Wissen zeigt sich (Woitkowski & Riese, 2017), dass auch nach angemessener Studiendauer bis zu einem Drittel der Studierenden einen problematischen Wissensstand aufweisen. Maßnahmen zur Verbesserungder Situation sind bisher vor allem normativ begründet und stützen sich nur in wenigen Fällen auf empirische Erkenntnisse.An diesem Punkt setzt das vorliegende Projektan, indem eine breitere empirische Basis an Informationen über das Physiklernen im ersten Studienjahr erstellt wird. Eine längsschnittliche Erhebung der Komplexität desbei den Studierenden vorhandenen Fachwissens sowie eine Erhebung von Problemschemata, die zur Bearbeitung komplexer Probleme (wie z.B. auf Übungszetteln) eingesetzt werden können, liefern wesentliche Daten, um die Entwicklungsverläufe in dieser Phase differenzierter nachzuvollziehen und Entwicklungsdeterminanten zu identifizieren.
DOI: 10.5281/zenodo.5683537
title: DATA (part 1): Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations

description: Data used for the peer-reviewed article published in the Journal of Climate, titled: "Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations." The publication is available at: https://journals.ametsoc.org/view/journals/clim/aop/JCLI-D-21-0172.1/JCLI-D-21-0172.1.xml. The software developed for the data herein is available at: https://github.com/mariajmolina/climatico.
description: {"references": ["Molina, M. J., Hu, A., & Meehl, G. A. (2021). Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations. Journal of Climate, 1-68."]}
DOI: 10.5281/zenodo.5683536
title: DATA (part 1): Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations

description: Data used for the peer-reviewed article published in the Journal of Climate, titled: "Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations." The publication is available at: https://journals.ametsoc.org/view/journals/clim/aop/JCLI-D-21-0172.1/JCLI-D-21-0172.1.xml. The software developed for the data herein is available at: https://github.com/mariajmolina/climatico.
description: {"references": ["Molina, M. J., Hu, A., & Meehl, G. A. (2021). Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations. Journal of Climate, 1-68."]}
DOI: 10.5281/zenodo.4800369
title: DATA: A benchmark to test generalization capabilities of deep learning methods to classify severe convective storms in a changing climate

description: Data generated using the software in the following repository: https://github.com/mariajmolina/deep-conus. Original climate data sets available at: https://rda.ucar.edu/datasets/ds612.0/ Research conducted to explore the robustness of a convolutional neural network (CNN) when classifying convection over North America in a changing climate.
DOI: 10.5281/zenodo.4052585
title: DATA: A benchmark to test generalization capabilities of deep learning methods to classify severe convective storms in a changing climate

description: Data generated using the software in the following repository: https://github.com/mariajmolina/deep-conus. Original climate data sets available at: https://rda.ucar.edu/datasets/ds612.0/ Research conducted to explore the robustness of a convolutional neural network (CNN) when classifying convection over North America in a changing climate.
DOI: 10.5517/ccdc.csd.cc28ffbh
title: CCDC 2098276: Experimental Crystal Structure Determination

description: Related Article: Jan Pecak, Wolfgang Eder, Gerald Tomsu, Berthold Stöger, Marc Pignitter, Karl Kirchner|2021|Eur.J.Inorg.Chem.|2021|4280|doi:10.1002/ejic.202100643
DOI: 10.5517/ccdc.csd.cc28ffcj
title: CCDC 2098277: Experimental Crystal Structure Determination

description: Related Article: Jan Pecak, Wolfgang Eder, Gerald Tomsu, Berthold Stöger, Marc Pignitter, Karl Kirchner|2021|Eur.J.Inorg.Chem.|2021|4280|doi:10.1002/ejic.202100643
DOI: 10.5517/ccdc.csd.cc28fjjs
title: CCDC 2098375: Experimental Crystal Structure Determination

description: Related Article: Xiao Geng, Zhaoliang Xu, Yiwen Cai, Lei Wang|2021|Org.Lett.|23|8343|doi:10.1021/acs.orglett.1c03076
DOI: 10.5517/ccdc.csd.cc28gl8m
title: CCDC 2099390: Experimental Crystal Structure Determination

description: Related Article: Jingjing Cui, Maximilian Dietz, Marcel Härterich, Felipe Fantuzzi, Wei Lu, Rian D. Dewhurst, Holger Braunschweig|2021|Chem.-Eur.J.|27|15751|doi:10.1002/chem.202102721
DOI: 10.5517/ccdc.csd.cc28gl9n
title: CCDC 2099391: Experimental Crystal Structure Determination

description: Related Article: Jingjing Cui, Maximilian Dietz, Marcel Härterich, Felipe Fantuzzi, Wei Lu, Rian D. Dewhurst, Holger Braunschweig|2021|Chem.-Eur.J.|27|15751|doi:10.1002/chem.202102721
DOI: 10.5517/ccdc.csd.cc28glbp
title: CCDC 2099392: Experimental Crystal Structure Determination

description: Related Article: Jingjing Cui, Maximilian Dietz, Marcel Härterich, Felipe Fantuzzi, Wei Lu, Rian D. Dewhurst, Holger Braunschweig|2021|Chem.-Eur.J.|27|15751|doi:10.1002/chem.202102721
DOI: 10.5517/ccdc.csd.cc28glcq
title: CCDC 2099393: Experimental Crystal Structure Determination

description: Related Article: Jingjing Cui, Maximilian Dietz, Marcel Härterich, Felipe Fantuzzi, Wei Lu, Rian D. Dewhurst, Holger Braunschweig|2021|Chem.-Eur.J.|27|15751|doi:10.1002/chem.202102721
DOI: 10.5517/ccdc.csd.cc28gldr
title: CCDC 2099394: Experimental Crystal Structure Determination

description: Related Article: Jingjing Cui, Maximilian Dietz, Marcel Härterich, Felipe Fantuzzi, Wei Lu, Rian D. Dewhurst, Holger Braunschweig|2021|Chem.-Eur.J.|27|15751|doi:10.1002/chem.202102721
DOI: 10.6084/m9.figshare.17005774
title: ALIGNN models on MP dataset

description: ALIGNN models on MP datasethttps://github.com/usnistgov/alignn<br>
DOI: 10.6084/m9.figshare.3761562.v2041
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.5698549
title: Verification of ORM-based Controllers by Summary Inference

description: The folder structure in icse2022-subm-data-1008-orm-verification-revised is as follows. ControllerVerificationData contains results corresponding to Section 5.2 of<br> the paper. The folder hierarchy within this is: benchmark name -&gt; Controller class name -&gt; "Alloy" -&gt; a .als file (i.e., Alloy model/summary generated by our tool)<br> corresponding to each controller method, with assertions added<br> manually in all cases were they were expressible. "Output" -&gt; outputs from Alloy for the assertions. multipage-data contains results corresponding to Section 5.3 of the paper. "properties" -&gt; each .txt file contains a property (basically, a \psi as in Section<br> 3.1 in the paper), written by us, in Alloy form. (For "Unexpressed"<br> properties, we wrote a dummy property.) "toCheck" -&gt; a property number -&gt; Generated Alloy files for this property (one Alloy file for Property<br> (A) and one each for Property (I), see Section 3.1 in the paper) A .txt file for each Alloy file, containing Alloy checker's output. "summary.txt" contains a summary of all the information above Mutation-Analysis contains results corresponding to Section 5.5 of the<br> paper. Each leaf level folder under this contains: Alloy file generated for a mutated version of the benchmark, with<br> assertions added manually. The description of the mutation (in the .desc file) A .out file containing output from the Alloy checker for the assertions<br> in the .als file. JPF contains results corresponding to Section 5.6 of the paper. Each leaf-level folder contains results pertaining to one of the 16<br> assertions. The .java file contains a driver that initializes the tables,<br> calls the controller, and checks the assertion. The .jpf file is required<br> by JPF, and the .out file shows the JPF output. Sources are present in two folders:<br> -ControllerSummaryInference-src: Code for inferring relational-algebraic summaries of Spring-based web applications and alloy translation.<br> -multipage-src: Code for checking trace properties.<br> The file other-details.pdf contains syntax directed rules as well as loop patterns in tool which form the approach to infer relational summaries from ORM controllers.
DOI: 10.6084/m9.figshare.17005825
title: Survey_results_design_decissions_for_multidimensional_basemaps.csv

description: This dataset includes the results of a comprehensive online survey about the design of multidimensional basemaps for urban environments for orientation purposes.<br>
DOI: 10.6084/m9.figshare.17005825.v1
title: Survey_results_design_decissions_for_multidimensional_basemaps.csv

description: This dataset includes the results of a comprehensive online survey about the design of multidimensional basemaps for urban environments for orientation purposes.<br>
DOI: 10.6084/m9.figshare.17005828.v1
title: Survey_design_decissions_for_multidimensional_basemaps_of_urban_environments.pdf

description: This PDF shows the with Google Forms created online survey on design decisions for multidimensional basemaps for urban environments for orientation purposes.
DOI: 10.6084/m9.figshare.17005828
title: Survey_design_decissions_for_multidimensional_basemaps_of_urban_environments.pdf

description: This PDF shows the with Google Forms created online survey on design decisions for multidimensional basemaps for urban environments for orientation purposes.
DOI: 10.5281/zenodo.5698746
title: Phytosciara flavipes SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5698745
title: Phytosciara flavipes SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.17005873
title: Supplementary file 1 - Thematic analysis

description: This file indicates the detail of thematic analysis for the study titled "development of a framework to assess he quality of data sources in healthcare settings."
DOI: 10.6084/m9.figshare.17005873.v1
title: Supplementary file 1 - Thematic analysis

description: This file indicates the detail of thematic analysis for the study titled "development of a framework to assess he quality of data sources in healthcare settings."
DOI: 10.5519/qd.1k31zs6w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1184 records)
DOI: 10.5519/qd.utr3zdgl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (27 records)
DOI: 10.5519/qd.fpppr03q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2830 records)
DOI: 10.5519/qd.y86vvq68
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2056 records)
DOI: 10.5519/qd.8rzi2fux
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2952 records)
DOI: 10.6084/m9.figshare.17005906
title: ALIGNN models for QM9 dataset

description: ALIGNN models for QM9 datasethttps://github.com/usnistgov/alignn<br>