cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22272250.v1
title: Domestic_v_Wild_Solanaceae_Gene_Tree_Individual_Genuses

description: Individual genus gene trees generated using the maximum likelihood model for FLS2 homologs from Solanaceae Domestic and Wild Species of <em>Solanum</em> (tomato, potato, eggplant), <em>Capsicum</em>, <em>Nicotiana</em>, <em>Petunia</em>, and the Solanaceae outgroup <em>Ipomoea triloba</em> (morning glory). The FLS2 coding sequences were obtained using a TBLASTN search using the FLS2 from <em>Arabidopsis thaliana</em> against Sol Genomics Database, Ensembl, and the Eggplant Genomic Database. Pseudogenes were removed and sequences were aligned using AliView. Multiple FASTA files were generated to specify by genus. Using these sequences, phylogenetic trees were generated using IQTree, a software tool that uses a maximum likelihood model. This file was utilized for the analysis used in Figure 2.
DOI: 10.5281/zenodo.7734623
title: Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?

description: This dataset contains the observed tipper data and 3-D EM modeling results associated to the manuscript: Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?
description: {"references": ["Shan Xu and Chaojian Chen et al. (2023) Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them? [Dataset] https://doi.org/10.5281/zenodo.7734623"]}
DOI: 10.5281/zenodo.7734622
title: Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?

description: This dataset contains the observed tipper data and 3-D EM modeling results associated to the manuscript: Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them?
description: {"references": ["Shan Xu and Chaojian Chen et al. (2023) Enormously large tippers observed in southwest China. Can realistic 3-D EM modeling reproduce them? [Dataset] https://doi.org/10.5281/zenodo.7734623"]}
DOI: 10.6084/m9.figshare.22134812
title: Base de datos - Revisión sistematizada CPC y Twitter

description: Base de datos resultante de una revisión sistemática de la literatura sobre el tema de Comunicación Pública de la Ciencia en Twitter. Está compuesta de 67 documentos de acceso abierto obtenidos desde Web of Science y Scopus en un rango de tiempo de 2017-2023
DOI: 10.6084/m9.figshare.22134812.v2
title: Base de datos - Revisión sistematizada CPC y Twitter

description: Base de datos resultante de una revisión sistemática de la literatura sobre el tema de Comunicación Pública de la Ciencia en Twitter. Está compuesta de 67 documentos de acceso abierto obtenidos desde Web of Science y Scopus en un rango de tiempo de 2017-2023
DOI: 10.6084/m9.figshare.22134812.v1
title: Base de datos - Revisión sistematizada CPC y Twitter

description: Base de datos resultante de una revisión sistemática de la literatura sobre el tema de Comunicación Pública de la Ciencia en Twitter. Está compuesta de 67 documentos de acceso abierto obtenidos desde Web of Science y Scopus en un rango de tiempo de 2017-2023
DOI: 10.17045/sthlmuni.22193683.v1
title: Data to "Grassland species colonization of a restored grassland on a former forest varies in short-term success but is facilitated by greater functional connectivity" by Kapás et al. 2023

description: This dataset includes vascular plant species lists with abundance values from two time period ( t1 and t2) collected in 275 plots (PlotID) with related environmental variables (meta_data with coordinates and presence/absence of livestock) in a former forest, which has been restored back to a semi-natural grassland. The data is collected on 50 x 50 cm level in a 4.2 ha area in Södermanland, Sweden. Empty values in the plant species lists read as NA´s. <br> <br> "Grassland species colonization of a restored grassland on a former forest varies in short-term success but is facilitated by greater functional connectivity" published in Nordic Journal of Botany DOI: 10.1111/njb.03762 <br> <br> <br> <br>
DOI: 10.5281/zenodo.7734660
title: Smart Contracts Versions Sample

description: We have randomly sampled 100 upgradeable contracts and traced their upgrades and versions. From 100 contracts, 32 contracts were upgraded, resulting in 76 overall versions.
DOI: 10.5281/zenodo.7734661
title: Smart Contracts Versions Sample

description: We have randomly sampled 100 upgradeable contracts and traced their upgrades and versions. From 100 contracts, 32 contracts were upgraded, resulting in 76 overall versions.
DOI: 10.5281/zenodo.7734664
title: Tables for "Specimen, biological structure, and spatial ontologies in support of a Human Reference Atlas"

description: <strong>Table 1. CCF Specimen, Biological Structure, and Spatial Ontology. </strong>For each ontology, we provide all class names, property names, entity Internationalized Resource Identifier (IRI), definition when available, and entity type. <strong>Table 2. 3D Reference Objects. </strong>The 3rd HRA release features 53 <em>Spatial Entities</em> of type <em>Spatial Object Reference</em> that are linked to anatomical structures in the ASCT+B tables plus 43 <em>Spatial Entities</em> of type <em>Extraction Site</em>. For each entity, we provide the spatial entity<em> </em>name, 3D object file name, ID and version number, organ label, sex, and type. Note that a landmark is a <em>Spatial Entity</em> that has been tagged as an <em>Extraction Set</em> for a specific <em>Extraction Site</em>, see <strong>Table 3</strong>. <strong>Table 3. Registered Tissue Data. </strong>This table shows 364 <em>Extraction Site </em>entities that either represent the registration location for <em>Tissue Blocks</em> or <em>Registration Sites</em>. For each, we provide consortium name and entity ID, HuBMAP ID if available, and experimental data donor sex as well as HRA data such as organ name, sex, Uberon ID, and GLB file. The data comes from four consortia. HuBMAP data includes 306 tissue blocks, and many of these have derived tissue sections with one or more associated datasets. The 29 well-defined GTEx extraction set sites link to 5,397 datasets. The 26 SPARC blocks link to one paper while the three KPMP tissue blocks link to two data publications.
DOI: 10.5281/zenodo.7734667
title: Tables for "Specimen, biological structure, and spatial ontologies in support of a Human Reference Atlas"

description: <strong>Table 1. CCF Specimen, Biological Structure, and Spatial Ontology. </strong>For each ontology, we provide all class names, property names, entity Internationalized Resource Identifier (IRI), definition when available, and entity type. <strong>Table 2. 3D Reference Objects. </strong>The 3rd HRA release features 53 <em>Spatial Entities</em> of type <em>Spatial Object Reference</em> that are linked to anatomical structures in the ASCT+B tables plus 43 <em>Spatial Entities</em> of type <em>Extraction Site</em>. For each entity, we provide the spatial entity<em> </em>name, 3D object file name, ID and version number, organ label, sex, and type. Note that a landmark is a <em>Spatial Entity</em> that has been tagged as an <em>Extraction Set</em> for a specific <em>Extraction Site</em>, see <strong>Table 3</strong>. <strong>Table 3. Registered Tissue Data. </strong>This table shows 364 <em>Extraction Site </em>entities that either represent the registration location for <em>Tissue Blocks</em> or <em>Registration Sites</em>. For each, we provide consortium name and entity ID, HuBMAP ID if available, and experimental data donor sex as well as HRA data such as organ name, sex, Uberon ID, and GLB file. The data comes from four consortia. HuBMAP data includes 306 tissue blocks, and many of these have derived tissue sections with one or more associated datasets. The 29 well-defined GTEx extraction set sites link to 5,397 datasets. The 26 SPARC blocks link to one paper while the three KPMP tissue blocks link to two data publications.
DOI: 10.6073/pasta/6733dc171618a7f0f90045ae333d8e17
title: Winter sampling microclimatic data at a shrub gradient across Californian drylands.

description: During a two-week sampling period in February 2023, we collected microclimatic data, including temperature and relative humidity, at shrubs and in the open across 9 sites in California. We collected ambient and ground temperatures.
DOI: 10.13012/b2idb-1931932_v1
title: TillmanMatthews2023_Banks

description: These data represent the raw data from the paper “Evaluating the ability of wetland mitigation banks to replace plant species lost from destroyed wetlands” published in Journal of Applied Ecology in 2023 by Stephen C. Tillman and Jeffrey W. Matthews.
DOI: 10.6073/pasta/044ee4a506ef1860577a990e20ea4305
title: Interagency Ecological Program: Phytoplankton monitoring in the Sacramento-San Joaquin Bay-Delta, collected by the Environmental Monitoring Program, 2008-2021

description: The State Water Resources Control Board (SWRCB) sets water quality objectives to protect beneficial uses of water in the Sacramento-San Joaquin Delta and Suisun Bay. These objectives are met by establishing standards mandated in water right permits issued to the Department of Water Resources and U.S. Bureau of Reclamation by the SWRCB. The standards include minimum Delta outflows, limits to Delta water export by the State Water Project (SWP) and the Central Valley Project (CVP), and maximum allowable salinity levels. In 1971, the State Water Resources Control Board (SWRCB) established Water Right Decision 1379 (D-1379). This Decision contained new water quality requirements for the San Francisco Bay-Delta Estuary. D-1379 was also the first water right decision to provide terms and conditions for a comprehensive monitoring program to routinely determine water quality conditions and changes in environmental conditions within the estuary. The monitoring program described in D-1379 was developed by the Stanford Research Institute through a contract with the SWRCB. Implementation of the monitoring program began in 1972, as SWRCB, DWR, and USBR met to define their individual responsibilities for various elements of the monitoring program. In 1978, amendments to water quality standards were implemented and resulted in Water Right Decision 1485 (D-1485). More recently these standards were again amended under the 1995 Water Quality Control Plan and Water Right Decision 1641 (D-1641) established in 1999. The SWP and CVP are currently operated to comply with the monitoring and reporting requirements described in D-1641. D-1641 requires DWR and USBR to conduct a comprehensive environmental monitoring program to determine compliance with the water quality standards and also to submit an annual report to SWRCB discussing data collected. The phytoplankton monitoring program is one element of DWR’s and USBR’s Environmental Monitoring Program (EMP) conducted under the Interagency Ecological Program (IEP) umbrella. The EMP also includes monitoring of water quality, zooplankton, and benthic organisms. The overall objective of the phytoplankton monitoring program is to determine the impacts of water project operations on the estuary. These impacts are interpreted by changes in phytoplankton diversity, abundance, and distribution associated with physical and other biological factors in the estuary. Complimentary EMP Datasets: Water Quality: https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=458&revision=7 Benthic: https://portal.edirepository.org/nis/mapbrowse?packageid=edi.1036.2
DOI: 10.21227/c4mj-2w23
title: Chat-GPT Generated Sample Weather Data

description: Chat GPT Prompt:Create a CSV file with 10000 rows of weather data from the fictions town named Anytown. Please include temperature, barometer readings, wind speed, wind direction, precipitation, dew point, humidity, and conditions.Response:Here's a sample CSV file with 10000 rows of weather data for Anytown. This data is randomly generated for demonstration purposes only, so it does not represent actual weather conditions.
DOI: 10.6084/m9.figshare.17027201.v2
title: Data from Comparative Phylogeography of Leaf-litter dwelling invertebrates from the Pacific Northwest

description: Images from leaf litter invertebrates from the Pacific Northwest of North America.
DOI: 10.5281/zenodo.7552551
title: Artifact For A Large Scale Analysis of Semantic Versioning in NPM

description: This is the artifact for: A Large Scale Analysis of Semantic Versioning in NPM. The artifact contains: A full scrape of all metadata from NPM (package / version information, dependencies, etc.) as of October 31, 2022. A copy of our code, which includes the software for scraping metadata and package tarball (code) data, as well as all analysis scripts that are needed to replicate the figures from the paper.
DOI: 10.5281/zenodo.7549686
title: Artifact For A Large Scale Analysis of Semantic Versioning in NPM

description: This is the artifact for: A Large Scale Analysis of Semantic Versioning in NPM. The artifact contains: A full scrape of all metadata from NPM (package / version information, dependencies, etc.) as of October 31, 2022. A copy of our code, which includes the software for scraping metadata and package tarball (code) data, as well as all analysis scripts that are needed to replicate the figures from the paper.
DOI: 10.13020/atq4-1b58
title: Datasets to test the importance of genetic architecture in marker selection decisions for genomic prediction

description: This dataset contains the input files to simulate traits for maize recombinant inbred lines (RILs) and run genomic prediction models with different marker types. Using real genotypic information from 333 maize recombinant inbred lines with single nucleotide polymorphism (SNP) and structural variant (SV) information projected from their seven sequenced parental lines, we simulated traits with different genetic architectures in multiple environments using the R package simplePHENOTYPES. We varied the heritability, the number of quantitative trait loci (QTLs), the type of causative variant (SNPs or SVs), and the variant effect sizes. Weather data from five locations in the U.S. Midwest in 2020 was used to generate a residual correlation matrix among environments. After performing a two-stage analysis with multivariate GBLUP prediction model for each marker type and genetic architecture, we obtained prediction accuracies using two types of cross-validation (CV1 and CV2). For instructions on how to perform this analysis and analysis script, please see https://github.com/HirschLabUMN/genomic_prediction_svs
description: Files include structural variant calls of the maize parental lines, genotypic data for recombinant inbred lines (RILs), simulated trait values for each RIL with different genetic architectures, input data for genomic prediction models with different marker types, and genomic prediction accuracy for each combination of simulated genetic architecture and predictors. More detailed information for each file can be found in the README file.
DOI: 10.5281/zenodo.7731154
title: Spot_fare_Inspections_Experiments

description: In this repository you will find the data and codes used for all the experiments, generation of tables and graphs of the publication and .
DOI: 10.5281/zenodo.7731153
title: Spot_fare_Inspections_Experiments

description: In this repository you will find the data and codes used for all the experiments, generation of tables and graphs of the publication and .
DOI: 10.6084/m9.figshare.12152040
title: "Dead man's teeth" dataset

description: Dataset for "Dead man's teeth" metagenomic project
DOI: 10.6084/m9.figshare.12152040.v3
title: "Dead man's teeth" dataset

description: Dataset for "Dead man's teeth" metagenomic project
DOI: 10.6084/m9.figshare.17027201
title: Data from Comparative Phylogeography of Microsnails from the Pacific Northwest

description: Images from leaf litter invertebrates from the Pacific Northwest of North America.
DOI: 10.6084/m9.figshare.17027201.v4
title: Data from Comparative Phylogeography of Microsnails from the Pacific Northwest

description: Images from leaf litter invertebrates from the Pacific Northwest of North America.
DOI: 10.6084/m9.figshare.17027201.v3
title: Data from Comparative Phylogeography of Leaf-litter dwelling invertebrates from the Pacific Northwest

description: Images from leaf litter invertebrates from the Pacific Northwest of North America.
DOI: 10.5281/zenodo.7664611
title: Baseline concentrations, spatial distribution and origin of trace elements in marine surface sediments of the northern Antarctic Peninsula

description: Supplementary data to article published in Marine Pollution Bulletin 187 (2023) 114501: https://doi.<br> org/10.1016/j.marpolbul.2022.114501
DOI: 10.5281/zenodo.7664612
title: Baseline concentrations, spatial distribution and origin of trace elements in marine surface sediments of the northern Antarctic Peninsula

description: Supplementary data to article published in Marine Pollution Bulletin 187 (2023) 114501: https://doi.<br> org/10.1016/j.marpolbul.2022.114501
DOI: 10.5281/zenodo.4644243
title: Corpus of Early English Correspondence Extension Sampler part 1 (CEECES 1)

description: The <em>Corpus of Early English Correspondence Extension Sampler</em> part 1 (CEECES 1) is the first public release from the 18th-century part of the <em>Corpora of Early English Correspondence</em> (CEEC-400). The CEECES 1 forms one part of the full CEECES. The other parts, both released 11 April 2022, are the CEECES part 2 and the TCEECES. The CEECES 1 was originally released in April 2021; this <strong>new version</strong> (11 April 2022) contains the <strong>exact same data</strong> (corpus files and supporting metadata), only the new zip file has been cleaned of macOS metafiles (__MACOSX and .DS_Store files), the manual has been updated, the metadata is now provided as a tsv file and a MS Excel file, and a key to the metadata has been included in the bundle. See the accompanying manual for more information on the CEECES 1; see the manuals for the CEECES 2 and the TCEECES for more information on the CEECES. See https://varieng.helsinki.fi/CoRD/corpora/CEEC/ for more on the CEEC-400. Citation: CEECES 1 = <em>Corpus of Early English Correspondence Extension Sampler</em> part 1. Compiled by Terttu Nevalainen, Helena Raumolin-Brunberg, Samuli Kaislaniemi, Mikko Laitinen, Minna Nevala, Arja Nurmi, Minna Palander-Collin, Tanja Säily and Anni Sairio at the Department of Languages, University of Helsinki. XML conversion and encoding by Lassi Saario. Helsinki: VARIENG, 2021. <strong>Version history:</strong> 1.4.2021 Version 1 – First release of corpus texts, metadata, and manual. 11.4.2022 Version 2 – Second release, to coincide with the release of CEECES 2 and TCEECES. Zip file cleaned, manual updated.
DOI: 10.5281/zenodo.5887100
title: Corpus of Early English Correspondence Extension Sampler part 2 (CEECES 2)

description: The <em>Corpus of Early English Correspondence Extension Sampler</em> part 2 (CEECES 2) is the second public release from the 18th-century part of the <em>Corpora of Early English Correspondence</em> (CEEC-400). The CEECES 2 forms one part of the full CEECES. The other parts are the CEECES part 1 (released 1 April 2021), and the TCEECES (released 11 April 2022). See the accompanying manual for more information on the CEECES 2; see the manuals for the CEECES 1 and the TCEECES for more information on the CEECES. See https://varieng.helsinki.fi/CoRD/corpora/CEEC/ for more on the CEEC-400. Citation: CEECES 2 = <em>Corpus of Early English Correspondence Extension Sampler</em> part 2. Compiled by Terttu Nevalainen, Helena Raumolin-Brunberg, Samuli Kaislaniemi, Mikko Laitinen, Minna Nevala, Arja Nurmi, Minna Palander-Collin, Tanja Säily and Anni Sairio at the Department of Languages, University of Helsinki. XML conversion and encoding by Lassi Saario. Helsinki: VARIENG, 2022.
DOI: 10.5281/zenodo.5887230
title: Tagged Corpus of Early English Correspondence Extension Sampler (TCEECES)

description: The <em>Tagged Corpus of Early English Correspondence Extension Sampler</em> (TCEECES) is the third public release from the 18th-century part of the <em>Corpora of Early English Correspondence</em> (CEEC-400). The TCEECES forms one part of the full CEECES. The other parts are the CEECES part 1 (released 1 April 2021), and the CEECES part 2 (released 11 April 2022). The TCEECES is an extract from the full <em>Tagged Corpus of Early English Correspondence Extension</em> (TCEECE), which remains unpublished. See the accompanying manual for more information on the TCEECES; see the manuals for the CEECES 1 and the CEECES 2 for more information on the CEECES. See https://varieng.helsinki.fi/CoRD/corpora/CEEC/ for more on the CEEC-400. Citation: TCEECES = <em>Tagged Corpus of Early English Correspondence Extension Sampler</em>. Compiled by Terttu Nevalainen, Helena Raumolin-Brunberg, Samuli Kaislaniemi, Mikko Laitinen, Minna Nevala, Arja Nurmi, Minna Palander-Collin, Tanja Säily and Anni Sairio at the Department of Languages, University of Helsinki. Spelling standardised by Mikko Hakala, Minna Palander-Collin, Minna Nevala, Emanuela Costea, Anne Kingma and Anna-Lina Wallraff. Annotated by Lassi Saario and Tanja Säily. XML conversion and encoding by Lassi Saario. Helsinki: VARIENG, 2022.
DOI: 10.5517/ccdc.csd.cc2d6fkm
title: CCDC 2210720: Experimental Crystal Structure Determination

description: Related Article: Namık Özdemir, Funda Doğan Karabekmez, Emine Özge Karaca, Nevin Gürbüz, İsmail Özdemir|2023|J.Mol.Struct.|1281|135159|doi:10.1016/j.molstruc.2023.135159
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.cc2dpmb2
title: CCDC 2225314: Experimental Crystal Structure Determination

description: Related Article: Tongyu Li, Dongwei Wang, Yi Heng, Guohua Hou, Guofu Zi, Marc D. Walter|2023|Organometallics|42|392|doi:10.1021/acs.organomet.2c00637
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.cc2dpmc3
title: CCDC 2225315: Experimental Crystal Structure Determination

description: Related Article: Tongyu Li, Dongwei Wang, Yi Heng, Guohua Hou, Guofu Zi, Marc D. Walter|2023|Organometallics|42|392|doi:10.1021/acs.organomet.2c00637
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.cc2dpmd4
title: CCDC 2225316: Experimental Crystal Structure Determination

description: Related Article: Tongyu Li, Dongwei Wang, Yi Heng, Guohua Hou, Guofu Zi, Marc D. Walter|2023|Organometallics|42|392|doi:10.1021/acs.organomet.2c00637
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.