cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21947/2006569
title: Radar Wind Profiler at Bodega Bay

description: These data are collected as part of an observational database developed to support the floating offshore wind energy research under the ORACLE project funded by DOE Wind Energy Technologies Office (WETO). The radar wind profiler network data are collected by NOAA (https://psl.noaa.gov/data/obs/datadisplay), and only data within the state of California are part of the database.
DOI: 10.21947/2006570
title: Radar Wind Profiler at Point Sur

description: These data are collected as part of an observational database developed to support the floating offshore wind energy research under the ORACLE project funded by DOE Wind Energy Technologies Office (WETO). The radar wind profiler network data are collected by NOAA (https://psl.noaa.gov/data/obs/datadisplay), and only data within the state of California are part of the database.
DOI: 10.21947/2006571
title: Radar Wind Profiler at Santa Barbara

description: These data are collected as part of an observational database developed to support the floating offshore wind energy research under the ORACLE project funded by DOE Wind Energy Technologies Office (WETO). The radar wind profiler network data are collected by NOAA (https://psl.noaa.gov/data/obs/datadisplay), and only data within the state of California are part of the database.
DOI: 10.21947/2006572
title: Radar Wind Profiler at San Nicolas Island

description: These data are collected as part of an observational database developed to support the floating offshore wind energy research under the ORACLE project funded by DOE Wind Energy Technologies Office (WETO). The radar wind profiler network data are collected by NOAA (https://psl.noaa.gov/data/obs/datadisplay), and only data within the state of California are part of the database.
DOI: 10.6084/m9.figshare.24217257
title: Prod e Fitoq

description: Prod e fitoq seve cultivars
DOI: 10.3886/e193223v1-141921
title: The Census Tree, 1850-1880

description: The Census Tree is the largest-ever database of record links among the historical U.S. censuses, with over 700 million links for people living in the United States between 1850 and 1940. These links allow researchers to construct a longitudinal dataset that is highly representative of the population, and that includes women, Black Americans, and other under-represented populations at unprecedented rates. Each .csv file consists of a crosswalk between the two years indicated in the filename, using the IPUMS histids. For more information, consult the included Read Me file, and visit https://censustree.org.<br>
description: See https://censustree.org for more information.<br>
DOI: 10.6084/m9.figshare.24196563
title: “Medium” LMs of Code in the Era of LLMs: Lessons From StackOverflow

description: Replication package for the paper - “Medium” LMs of Code in the Era of LLMs: Lessons From StackOverflow
DOI: 10.6084/m9.figshare.24196563.v2
title: “Medium” LMs of Code in the Era of LLMs: Lessons From StackOverflow

description: Replication package for the paper - “Medium” LMs of Code in the Era of LLMs: Lessons From StackOverflow
DOI: 10.6084/m9.figshare.24196563.v1
title: Code-Specific “Medium” LMs in the Era of LLMs: Lessons from StackOverflow

description: Replication package for the paper - Code-Specific “Medium” LMs in the Era of LLMs: Lessons from StackOverflow
DOI: 10.5517/ccdc.csd.cc2f1qfn
title: CCDC 2235981: Experimental Crystal Structure Determination

description: Related Article: Raviramanujayya Tammisetti, Prakash D. Chaudhari, Bor-Cherng Hong, Su-Ying Chien|2023|Org.Biomol.Chem.|21|4200|doi:10.1039/D3OB00439B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f1qhq
title: CCDC 2235983: Experimental Crystal Structure Determination

description: Related Article: Raviramanujayya Tammisetti, Prakash D. Chaudhari, Bor-Cherng Hong, Su-Ying Chien|2023|Org.Biomol.Chem.|21|4200|doi:10.1039/D3OB00439B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f1qjr
title: CCDC 2235984: Experimental Crystal Structure Determination

description: Related Article: Raviramanujayya Tammisetti, Prakash D. Chaudhari, Bor-Cherng Hong, Su-Ying Chien|2023|Org.Biomol.Chem.|21|4200|doi:10.1039/D3OB00439B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f2hz0
title: CCDC 2236742: Experimental Crystal Structure Determination

description: Related Article: Raviramanujayya Tammisetti, Prakash D. Chaudhari, Bor-Cherng Hong, Su-Ying Chien|2023|Org.Biomol.Chem.|21|4200|doi:10.1039/D3OB00439B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24217278
title: Attachment

description: Causal Relationships Between Gut Microbiota, Gut Metabolites, and Diabetic Neuropathy: A Mendelian Randomization Study
DOI: 10.6084/m9.figshare.24217278.v1
title: Attachment

description: Causal Relationships Between Gut Microbiota, Gut Metabolites, and Diabetic Neuropathy: A Mendelian Randomization Study
DOI: 10.25550/41-mz04
title: Bootcamp 2023 demo dataset of root of molar tooth

description: In this dataset we performed imaging and scRNA seq of PN14.5 mouse
DOI: 10.6084/m9.figshare.24126336.v1
title: STIX dataset

description: The STIX1 and STIX2 data.
DOI: 10.6084/m9.figshare.24217689
title: Tabla 2 Características generales de estudiantes y programas frente a grupos gamificación.docx

description: Los grupos de gamificación se establecieron considerando diversas variables, como la edad, el género, el semestre, la modalidad y la jornada de los estudiantes. Además, se tuvieron en cuenta las características generales de los programas académicos. Los datos recopilados se presentan en tablas con recuentos y porcentajes organizados por columnas, lo que permite un análisis detallado de la influencia de estas variables en la implementación de la gamificación en el entorno educativo.The gamification groups were established considering various variables such as age, gender, semester, modality, and students' schedules. Additionally, the general characteristics of academic programs were taken into account. The collected data is presented in tables with counts and percentages organized by columns, allowing for a detailed analysis of the influence of these variables on the implementation of gamification in the educational environment.<br>
DOI: 10.6084/m9.figshare.24217689.v1
title: Tabla 2 Características generales de estudiantes y programas frente a grupos gamificación.docx

description: Los grupos de gamificación se establecieron considerando diversas variables, como la edad, el género, el semestre, la modalidad y la jornada de los estudiantes. Además, se tuvieron en cuenta las características generales de los programas académicos. Los datos recopilados se presentan en tablas con recuentos y porcentajes organizados por columnas, lo que permite un análisis detallado de la influencia de estas variables en la implementación de la gamificación en el entorno educativo.The gamification groups were established considering various variables such as age, gender, semester, modality, and students' schedules. Additionally, the general characteristics of academic programs were taken into account. The collected data is presented in tables with counts and percentages organized by columns, allowing for a detailed analysis of the influence of these variables on the implementation of gamification in the educational environment.<br>
DOI: 10.5281/zenodo.8387220
title: Overtrust 3D dataset - hilbert order data

description: Overtrust 3D dataset hilber order data. 0-199 frequency, rank matrix, U and V bases.
DOI: 10.5281/zenodo.8387219
title: Overtrust 3D dataset - hilbert order data

description: Overtrust 3D dataset hilber order data. 0-199 frequency, rank matrix, U and V bases.
DOI: 10.6084/m9.figshare.23691672.v1
title: <b>Microplastic emission and socioeconomic data of fashion industry in Chinese cities from 2001 to 2020</b>

description: Microplastic pollution is one of the emerging global environmental issues. The fashion industry is a major source of microplastic pollution due to the massive consumption of synthetic fibres. Textile, garment, and footwear manufacturing contribute to the microplastic emission into sewage waters. Cities are major contributors to microplastic emissions and the implementers of microplastic control. It is important to compile the inventories of microplastic emissions of the fashion industry for cities, and fewer studies have investigated the inventories of microplastic emissions for key industries in cities. This study, for the first time, compiles microplastic emission inventories of the fashion industry for Chinese cities. The inventories are constructed using 21 cities and 4 production processes of the fashion industry. The socioeconomic data of the fashion industry in cities such as the output of industrial products and the gross output value of the fashion industry are included in the datasets as well. The dataset can provide transparent, comparable, and verifiable data support for the microplastic pollution prevention and control strategies in the fashion industry, and provide references for the construction of microplastic emission inventories for other key industries.
DOI: 10.6084/m9.figshare.24217695
title: Tabla 4. Correlaciones puntuaciones Engagement y posibles variables de control antes de la intervención..docx

description: Análisis de correlaciones entre las puntuaciones de engagement y posibles variables de control antes de la intervención, considerando aspectos cognitivo-conductuales y emocionales, así como la edad, género, semestre, asignatura, modalidad, jornada, decanatura y universidad.<br>Analysis of correlations between engagement scores and potential control variables before the intervention, taking into account cognitive-behavioral and emotional aspects, as well as age, gender, semester, subject, modality, schedule, deanery, and university.
DOI: 10.6084/m9.figshare.24217695.v1
title: Tabla 4. Correlaciones puntuaciones Engagement y posibles variables de control antes de la intervención..docx

description: Análisis de correlaciones entre las puntuaciones de engagement y posibles variables de control antes de la intervención, considerando aspectos cognitivo-conductuales y emocionales, así como la edad, género, semestre, asignatura, modalidad, jornada, decanatura y universidad.<br>Analysis of correlations between engagement scores and potential control variables before the intervention, taking into account cognitive-behavioral and emotional aspects, as well as age, gender, semester, subject, modality, schedule, deanery, and university.
DOI: 10.25919/3x1q-aq34
title: Parkes observations for project P1177 semester 2023APRS_07

description: We propose to time a high Galactic latitude millisecond pulsar, J1947-18, which was previously identified as isolated. Recently, during the re-processing of Parkes archival data (Project code: P1059), we found that this pulsar is in a binary system. This pulsar was originally discovered in archival data of the intermediate and high Galactic latitude parts of the Southern High Time Resolution Universe pulsar survey and have rotational period of 2.60 ms and DM of 25 pc cm-3. Here we propose make use of Parkes non-Galactic observing time and confirm the nature of this potential binary and measure its spin and orbital parameters. This information could lead to new opportunities of measuring neutron star mass, testing gravitational theories, and MSPs formation channels at high galactic latitudes.
DOI: 10.6084/m9.figshare.24212835
title: Supplemental Materials for "High-quality genome of the zoophytophagous stink bug, <i>Nesidiocoris</i><i> tenuis</i>, informs their food habit adaptation"

description: Supplemental Materials of "High-quality genome of the zoophytophagous stink bug, <i>Nesidiocoris</i><i> tenuis</i>, informs their food habit adaptation"
DOI: 10.6084/m9.figshare.24217881
title: LandEvol-PROV

description: The LandEvol-PROV is an approach to analysis and management of urban geospatial data, more specificaly, from the MapPLUTO dataset of New York City, in multiple papers.All the code was developed with <code>Python 3</code> and the dependencies can be resolved with each project <code>requirements.txt</code>. For more information, please refer to the apointed papers.<br><br>This is the Neo4J database obtained for the papers.
DOI: 10.6084/m9.figshare.24217266
title: Supplemental Material - Intraspecific variation in seed size is mediated by seed dispersal modes and animal dispersers – evidence from a global scale dataset

description: The coefficient of variation (CV) in seed mass of 691 plant species
DOI: 10.6084/m9.figshare.24218262
title: SUPPLEMENTARY MATERIALS - Data from Artificial light at night (ALAN) causes shifts in soil communities and functions

description: Dataset of the article by Cesarz et al: Artificial light at night (ALAN) causes shifts in soil communities and functions
DOI: 10.6084/m9.figshare.24218262.v1
title: SUPPLEMENTARY MATERIALS - Data from Artificial light at night (ALAN) causes shifts in soil communities and functions

description: Dataset of the article by Cesarz et al: Artificial light at night (ALAN) causes shifts in soil communities and functions
DOI: 10.5281/zenodo.8385773
title: Anonymous Submission

description: Anonymous Dataset for blinded review.
DOI: 10.5281/zenodo.8385772
title: Anonymous Submission

description: Anonymous Dataset for blinded review.
DOI: 10.6084/m9.figshare.24217251
title: <b>Tabla 5. Comparación puntuaciones Subdimensión Cognitivo Conductual y grupo por nivel de Gamificación.</b>

description: Comparación pretest frente al postest en <b>Subdimensión Cognitivo Conductual y grupo por nivel de Gamificación.</b>Comparison of pretest versus posttest in the Cognitive-Behavioral Subdimension by gamification level group.<br>
DOI: 10.6084/m9.figshare.24217251.v2
title: <b>Tabla 6. Comparación puntuaciones Subdimensión Cognitivo Conductual y grupo por nivel de Gamificación.</b>

description: Comparación pretest frente al postest en <b>Subdimensión Cognitivo Conductual y grupo por nivel de Gamificación.</b>Comparison of pretest versus posttest in the Cognitive-Behavioral Subdimension by gamification level group.<br>
DOI: 10.6084/m9.figshare.24217251.v3
title: <b>Tabla 5. Comparación puntuaciones Subdimensión Cognitivo Conductual y grupo por nivel de Gamificación.</b>

description: Comparación pretest frente al postest en <b>Subdimensión Cognitivo Conductual y grupo por nivel de Gamificación.</b>Comparison of pretest versus posttest in the Cognitive-Behavioral Subdimension by gamification level group.<br>
DOI: 10.6084/m9.figshare.24218397.v1
title: Tabla 6. Comparación puntuaciones Sub-dimensión Emocional y grupo por nivel de Gamificación..docx

description: "Comparison of scores in the Emotional Sub-dimension and group by level of Gamification. Pretest and posttest, taking into account the difference in means (I-J) Standard Error p-value 95% confidence interval for difference."Comparación puntuaciones Sub-dimensión Emocional y grupo por nivel de Gamificación. Pretest y postest y teniendo en cuenta la diferencia de medias (I-J) Desv. Error p-valor 95% de intervalo de confianza para diferencia
DOI: 10.6084/m9.figshare.24218397
title: Tabla 6. Comparación puntuaciones Sub-dimensión Emocional y grupo por nivel de Gamificación..docx

description: "Comparison of scores in the Emotional Sub-dimension and group by level of Gamification. Pretest and posttest, taking into account the difference in means (I-J) Standard Error p-value 95% confidence interval for difference."Comparación puntuaciones Sub-dimensión Emocional y grupo por nivel de Gamificación. Pretest y postest y teniendo en cuenta la diferencia de medias (I-J) Desv. Error p-valor 95% de intervalo de confianza para diferencia
DOI: 10.6084/m9.figshare.24218412
title: Codes for the study "We Perceive National Leaders as Incompetent Post-Terrorism in Specific Contexts: The Multinational Case of al-Qaeda and ISIL"

description: This is the code used perform all statistical analyses presented in the study "We Perceive National Leaders as Incompetent Post-Terrorism in Specific Contexts: The Multinational Case of al-Qaeda and ISIL"
DOI: 10.6084/m9.figshare.24218412.v1
title: Codes for the study "We Perceive National Leaders as Incompetent Post-Terrorism in Specific Contexts: The Multinational Case of al-Qaeda and ISIL"

description: This is the code used perform all statistical analyses presented in the study "We Perceive National Leaders as Incompetent Post-Terrorism in Specific Contexts: The Multinational Case of al-Qaeda and ISIL"
DOI: 10.6084/m9.figshare.24218430.v1
title: Table S1. CCA significantly enriched exometabolites from Coral larval settlement induction using tissue-associated and exuded coralline algae metabolites and the identification of putative chemical cues

description: Reef building crustose coralline algae (CCA) are known to facilitate the settlement and metamorphosis of scleractinian coral larvae. In recent decades, CCA coverage has fallen globally and degrading environmental conditions continue to reduce coral survivorship, spurring new restoration interventions to rebuild coral reef health. In this study, naturally produced chemical compounds (metabolites) were collected from two pantropical CCA genera to isolate and classify those that induce coral settlement. In experiments using four ecologically important Caribbean coral species, we demonstrate the applicability of extracted, CCA-derived metabolites to improve larval settlement success in coral breeding and restoration efforts. Tissue-associated CCA metabolites induced settlement of one coral species, <i>Orbicella faveolata</i>, while metabolites exuded by CCA (exometabolites)-induced settlement of three species: <i>Acropora palmata</i>, <i>Colpophyllia natans</i> and <i>Orbicella faveolata</i>. In a follow-up experiment, CCA exometabolites fractionated and preserved using two different extraction resins induced the same level of larval settlement as the unfractionated positive control exometabolites. The fractionated CCA exometabolite pools were characterized using liquid chromatography tandem mass spectrometry, yielding 145 distinct molecular subnetworks that were statistically defined as CCA-derived and could be classified into 10 broad chemical classes. Identifying these compounds can reveal their natural prevalence in coral reef habitats and facilitate the development of new applications to enhance larval settlement and the survival of coral juveniles.
DOI: 10.6084/m9.figshare.24218430
title: Table S1. CCA significantly enriched exometabolites from Coral larval settlement induction using tissue-associated and exuded coralline algae metabolites and the identification of putative chemical cues

description: Reef building crustose coralline algae (CCA) are known to facilitate the settlement and metamorphosis of scleractinian coral larvae. In recent decades, CCA coverage has fallen globally and degrading environmental conditions continue to reduce coral survivorship, spurring new restoration interventions to rebuild coral reef health. In this study, naturally produced chemical compounds (metabolites) were collected from two pantropical CCA genera to isolate and classify those that induce coral settlement. In experiments using four ecologically important Caribbean coral species, we demonstrate the applicability of extracted, CCA-derived metabolites to improve larval settlement success in coral breeding and restoration efforts. Tissue-associated CCA metabolites induced settlement of one coral species, <i>Orbicella faveolata</i>, while metabolites exuded by CCA (exometabolites)-induced settlement of three species: <i>Acropora palmata</i>, <i>Colpophyllia natans</i> and <i>Orbicella faveolata</i>. In a follow-up experiment, CCA exometabolites fractionated and preserved using two different extraction resins induced the same level of larval settlement as the unfractionated positive control exometabolites. The fractionated CCA exometabolite pools were characterized using liquid chromatography tandem mass spectrometry, yielding 145 distinct molecular subnetworks that were statistically defined as CCA-derived and could be classified into 10 broad chemical classes. Identifying these compounds can reveal their natural prevalence in coral reef habitats and facilitate the development of new applications to enhance larval settlement and the survival of coral juveniles.
DOI: 10.6084/m9.figshare.24064854
title: "GiRAFR improves gRNA detection and annotation in single cell CRISPR screens" source data

description: cellranger_output contains results generated by Cell Ranger feature barcoding analysis. See paper Table S2 for list of samples and citations.GiRAFR_output folder contain GiRAFR outputs using data from 12 studies.Explanation on the output file format: https://girafr.readthedocs.io/en/latest/output.htmlScripts using processed data to recreate figures can be found via: github.com/FunctionalEpigeneticsLab/GiRAFRfiltered_feature_bc_matrix contains Cell Ranger alignment results for our in-house CROP-seq, for which raw data can be downloaded from Gene Expression Omnibus (GEO) database under the accession number GSE216040.Figures and their corresponding scripts using source data:Figure 1a, b, g =&gt; Jupyter notebook Figure 1.ipynbFigure 1h, 1i =&gt; Source data.xsxFigure 2a =&gt; In_house data.ipynbFigure 2c =&gt; Jost_NatureBiotechnology.ipynbFigure 1e, f, 2b, d, e, S2b, 3c =&gt; Source data.xlsxFigure 3a, S2a, S3c =&gt; see individual notebooks with titles matching corresponding datasetFigure 3b, S3a, S3b =&gt; Inhouse downsample.ipynbFigure S4a =&gt; Mutant gRNA impact on TSO corrected studies.ipynbFigure S4b =&gt; scalability.xlsx