cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8184079
title: PheKnowLator Human Disease KG Benchmarks: Instance-Inverse Relations-OWL (v2.1.0 - September 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.1.0</code>)</strong> <strong>Build Type: </strong><em>Instance-Inverse Relations-OWL</em> <strong>Build Date: </strong><code>September 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184083
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWL (v2.1.0 - September 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.1.0</code>)</strong> <strong>Build Type: </strong><em>Instance-Standard Relations-OWL</em> <strong>Build Date: </strong><code>September 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184077
title: PheKnowLator Human Disease KG Benchmarks: Instance-Inverse Relations-OWLNETS (v2.1.0 - September 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.1.0</code>)</strong> <strong>Build Type: </strong><em>Instance-Inverse Relations-OWLNETS</em> <strong>Build Date: </strong><code>September 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184087
title: PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWL (v2.1.0 - September 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v2.1.0</code>)</strong> <strong>Build Type: </strong><em>Class-Inverse Relations-OWL</em> <strong>Build Date: </strong><code>September 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184136
title: PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWL (v3.0.2 - October 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Class-Inverse Relations-OWL</em> <strong>Build Date: </strong><code>October 18, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184138
title: PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWLNETS (v3.0.2 - October 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Class-Inverse Relations-OWLNETS</em> <strong>Build Date: </strong><code>October 18, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184140
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWL (v3.0.2 - October 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Instance-Standard Relations-OWL</em> <strong>Build Date: </strong><code>October 18, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184146
title: PheKnowLator Human Disease KG Benchmarks: Instance-Inverse Relations-OWLNETS (v3.0.2 - October 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Instance-Inverse Relations-OWLNETS</em> <strong>Build Date: </strong><code>October 18, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184206
title: PheKnowLator Human Disease KG Benchmarks: Class-Standard Relations-OWL (v3.0.2 - November 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Class-Standard Relations-OWL</em> <strong>Build Date: </strong><code>November 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184209
title: PheKnowLator Human Disease KG Benchmarks: Class-Standard Relations-OWLNETS (v3.0.2 - November 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Class-Standard Relations-OWLNETS</em> <strong>Build Date: </strong><code>November 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184213
title: PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWLNETS (v3.0.2 - November 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Class-Inverse Relations-OWLNETS</em> <strong>Build Date: </strong><code>November 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184217
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWL (v3.0.2 - November 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Instance-Standard Relations-OWL</em> <strong>Build Date: </strong><code>November 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.8184219
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWLNETS (v3.0.2 - November 2021)

description: <strong>PKT Human Disease Knowledge Graph Benchmark Builds (<code>v3.0.2</code>)</strong> <strong>Build Type: </strong><em>Instance-Standard Relations-OWLNETS</em> <strong>Build Date: </strong><code>November 01, 2021</code> Please note that all resources linked below redirect to a publicly Google Cloud Storage bucket where all data are publicly accessible. Routing users from this wiki page is perfectly safe and allows us to avoid requiring users to have a Google account and login to download data. If you have any questions or concerns, please email the project maintainer at callahantiff@gmail.com. If you have a Google account you can access the data directly via 👉 here 📚 For additional information on the builds please see the following README<br> 🗂 For additional information on the KG file types please see the following Wiki page 🚨 <strong>AVAILABLE FILES </strong>🚨 Available KG benchmark files are zipped and listed below. For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.7756871
title: Data, Metadata, R-codes and R data files for submission of Bartzke et. al to Ecological Monographs

description: These files include the data, metadata, R-codes and R data files for modelling of ungulate diversity and biomass in the Maasai Mara ecosystem in Kenya in the drought year of 1999 and the normal rainfall year of 2002. "mc_333m.csv": data file for 333 m-by-333 m sub-blocks "Metadata.pdf": metadata for files "mc_333m.csv" and "mc_1km.csv" "prepare data.r": R code to impute missing vegetation records in 333 m-by-333 m sub-blocks and to summarize the data over 1 km-by-1 km blocks for analysis "dgc02k.RData" ... "dth99k.RData": R data files containing the imputed vegetation records "mc_1km.csv": data file for 1 km-by-1 km blocks for analysis "mc_1km.r ": R code for modelling ungulate diversity and biomass "mc_1km.RData": R data file containing the predictions of models of ungulate diversity and biomass "mc_1km_plots.r": R code for plotting the predictions of ungulate diversity and biomass models "MMNR_border.shp" and associated files: Shapefile of the Maasai Mara National Reserve border to Tanzania for plots of the predictions of ungulate diversity and biomass "MMNR_boundary.shp" and associated files: Shapefile of the Maasai Mara National Reserve boundary in Kenya for plots of the predictions of ungulate diversity and biomass
description: {"references": ["Reid et al (2003). People, wildlife and livestock in the Mara ecosystem: the Mara count 2002. Technical report, International Livestock Research Institute, Nairobi, Kenya. Available from http://www.maasaimaracount.org/reports/Maracount.pdf."]}
DOI: 10.5281/zenodo.7991382
title: Data, Metadata, R-codes and R data files for submission of Bartzke et. al to Ecological Monographs

description: These files include the data, metadata, R-codes and R data files for modelling of ungulate diversity and biomass in the Maasai Mara ecosystem in Kenya in the drought year of 1999 and the normal rainfall year of 2002. "mc_333m.csv": data file for 333 m-by-333 m sub-blocks "Metadata.pdf": metadata for files "mc_333m.csv" and "mc_1km.csv" "prepare data.r": R code to impute missing vegetation records in 333 m-by-333 m sub-blocks and to summarize the data over 1 km-by-1 km blocks for analysis "dgc02k.RData" ... "dth99k.RData": R data files containing the imputed vegetation records "mc_1km.csv": data file for 1 km-by-1 km blocks for analysis "mc_1km.r ": R code for modelling ungulate diversity and biomass "mc_1km.RData": R data file containing the predictions of models of ungulate diversity and biomass "mc_1km_plots.r": R code for plotting the predictions of ungulate diversity and biomass models "MMNR_border.shp" and associated files: Shapefile of the Maasai Mara National Reserve border to Tanzania for plots of the predictions of ungulate diversity and biomass "MMNR_boundary.shp" and associated files: Shapefile of the Maasai Mara National Reserve boundary in Kenya for plots of the predictions of ungulate diversity and biomass
description: {"references": ["Reid et al (2003). People, wildlife and livestock in the Mara ecosystem: the Mara count 2002. Technical report, International Livestock Research Institute, Nairobi, Kenya. Available from http://www.maasaimaracount.org/reports/Maracount.pdf."]}
DOI: 10.5281/zenodo.7991451
title: Data, Metadata, R-codes and R data files for submission of Bartzke et. al to Ecological Monographs

description: These files include the data, metadata, R-codes and R data files for modelling of ungulate diversity and biomass in the Maasai Mara ecosystem in Kenya in the drought year of 1999 and the normal rainfall year of 2002.
"mc_333m.csv": data file for 333 m-by-333 m sub-blocks
"Metadata.pdf": metadata for files "mc_333m.csv" and "mc_1km.csv"
"prepare data.r": R code to impute missing vegetation records in 333 m-by-333 m sub-blocks and to summarize the data over 1 km-by-1 km blocks for analysis
"krige_vegetation.RData": R data files containing the imputed vegetation records
"mc_1km.csv": data file for 1 km-by-1 km blocks for analysis
"mc_1km.r ": R code for modelling ungulate diversity and biomass
"mc_1km.RData": R data file containing the predictions of models of ungulate diversity and biomass
"mc_1km_plots.r": R code for plotting the predictions of ungulate diversity and biomass models
"MMNR_border.shp" and associated files: Shapefile of the Maasai Mara National Reserve border to Tanzania for plots of the predictions of ungulate diversity and biomass
"MMNR_boundary.shp" and associated files: Shapefile of the Maasai Mara National Reserve boundary in Kenya for plots of the predictions of ungulate diversity and biomass
DOI: 10.5281/zenodo.10056213
title: PheKnowLator Human Disease KG Benchmarks - Build Logs (v2.1.0 - April 2021)

description: PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)
Build Date: April 11, 2021
 
Build Information

This Zenodo directory contains logs from running a pre-build, which was performed in order to obtain computational performance metrics. 
As this run was only created for the purpose of testing the builds, there are no available data, KG, or metadata available. 
The Excel file attached included in this directory includes tabs for the build logs as well as high-level descriptives on the resulting KGs, edge types, and ontologies.
DOI: 10.5281/zenodo.10056177
title: Data, Metadata, R-codes and R data files for submission of Bartzke et. al to Ecological Applications

description: These files include the data, metadata, R-codes and R data files for modelling of ungulate diversity and biomass in the Maasai Mara ecosystem in Kenya in the drought year of 1999 and the normal rainfall year of 2002.
"Metadata.pdf": metadata for files "mc_333m.csv" and "mc_1km.csv"
"mc_333m.csv": data file for 333 m-by-333 m sub-blocks
"prepare_data.r": R code to impute missing vegetation records in 333 m-by-333 m sub-blocks and to summarize the data over 1 km-by-1 km blocks for analysis
"krige_vegetation.RData": R data files containing the imputed vegetation records
"mc_1km.csv": data file for 1 km-by-1 km blocks for analysis
"mc_1km.r ": R code for modelling ungulate diversity and biomass
"mc_1km.RData": R data file containing the predictions of models of ungulate diversity and biomass
"mc_1km_plots.r": R code for plotting the predictions of ungulate diversity and biomass models
"MMNR_boundary.shp" Shapefile and associated files of the Maasai Mara National Reserve boundary in Kenya for plots of the predictions of ungulate diversity and biomass
"MMNR_border.zip" Shapefile and associated files of the Maasai Mara National Reserve border to Tanzania for plots of the predictions of ungulate diversity and biomass
DOI: 10.5517/ccdc.csd.cc2d43l8
title: CCDC 2208489: Experimental Crystal Structure Determination

description: Related Article: Rong-Jia Wei, Mo Xie, Ri-Qin Xia, Jun Chen, Hua-Juan Hu, Guo-Hong Ning, Dan Li|2023|J.Am.Chem.Soc.|145|22720|doi:10.1021/jacs.3c08262
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.cc2gst47
title: CCDC 2287959: Experimental Crystal Structure Determination

description: Related Article: Haiyong Yu, Junhao Zhang, Dongxu Ma, Xiaotong Li, Tao Xu|2023|J.Am.Chem.Soc.|145|22335|doi:10.1021/jacs.3c08714
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.cc2gst58
title: CCDC 2287960: Experimental Crystal Structure Determination

description: Related Article: Haiyong Yu, Junhao Zhang, Dongxu Ma, Xiaotong Li, Tao Xu|2023|J.Am.Chem.Soc.|145|22335|doi:10.1021/jacs.3c08714
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.