cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7925922
title: SpliceAI_rocksdb_hg19_chr7

description: SpliceAI RocksDB for chromosome 7 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5517/ccdc.csd.cc2d1qmt
title: CCDC 2206196: Experimental Crystal Structure Determination

description: Related Article: Qing-Dong Zhou, Guo-Fei Hu, Sehrish Sarfaraz, Khurshid Ayub, Beibei Xiao, Kanglei Liu, Xiaodong Yin, Nan Wang|2023|Inorg.Chem.|62|7061|doi:10.1021/acs.inorgchem.3c00450
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.cc2fjfkz
title: CCDC 2250121: Experimental Crystal Structure Determination

description: Related Article: Alexander A. Lukoyanov, Andrey A. Tabolin, Yulia V. Nelyubina, Svetlana A. Aksenova, Alexey Yu. Sukhorukov|2023|Org.Biomol.Chem.|21|3871|doi:10.1039/D3OB00235G
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: 10.5281/zenodo.7925931
title: SpliceAI_rocksdb_hg19_chr8

description: SpliceAI RocksDB for chromosome 8 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925930
title: SpliceAI_rocksdb_hg19_chr8

description: SpliceAI RocksDB for chromosome 8 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925902
title: SpliceAI_rocksdb_hg19_chr5

description: SpliceAI RocksDB for chromosome 5 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925901
title: SpliceAI_rocksdb_hg19_chr5

description: SpliceAI RocksDB for chromosome 5 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925949
title: SpliceAI_rocksdb_hg19_chr9

description: SpliceAI RocksDB for chromosome 9 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925948
title: SpliceAI_rocksdb_hg19_chr9

description: SpliceAI RocksDB for chromosome 9 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.34740/kaggle/dsv/3138691
title: Cricket Data
DOI: 10.5281/zenodo.7925959
title: SpliceAI_rocksdb_hg19_chr10

description: SpliceAI RocksDB for chromosome 10 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925958
title: SpliceAI_rocksdb_hg19_chr10

description: SpliceAI RocksDB for chromosome 10 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925967
title: SpliceAI_rocksdb_hg19_chr11

description: SpliceAI RocksDB for chromosome 11 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925966
title: SpliceAI_rocksdb_hg19_chr11

description: SpliceAI RocksDB for chromosome 11 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925977
title: SpliceAI_rocksdb_hg19_chr12

description: SpliceAI RocksDB for chromosome 12 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7925976
title: SpliceAI_rocksdb_hg19_chr12

description: SpliceAI RocksDB for chromosome 12 of hg19 as used in the AbSplice publication: https://www.nature.com/articles/s41588-023-01373-3 Precomputed SpliceAI scores for all SNVs and indels up to 4 nucleotides are stored in this database. To use this database for fast computation of SpliceAI predictions see: https://github.com/gagneurlab/spliceai_rocksdb This is also implemented in the AbSplice package: https://github.com/gagneurlab/absplice This dataset includes SpliceAI scores. The scores are free for academic and not-for-profit use; other use requires a commercial license from Illumina, Inc., see the GitHub repository of SpliceAI: https://github.com/Illumina/SpliceAI/tree/master
DOI: 10.5281/zenodo.7943307
title: Datasets for manuscript - Dirichlet diffusion score model for biological sequence generation.

description: This repository holds the trained Dirichlet Diffusion Score models for various datasets. <strong>best_models.tar.gz</strong> It also contains all input data required to train your own models with scripts provided via github repository. <strong>data.tar.gz</strong> This archive contains the following folders: <strong>satnet_sudoku </strong>contains dataset with sudoku examples which we used for evaluation of sudoku model. <strong>promoter_design</strong> contains dataset used for training promoter design model as well as Sei model weights. Please, read provided readme file before using it for training scripts.
description: This work is supported by Cancer Prevention and Research Institute of Texas grant RR190071, NIH grant DP2GM146336, and the UT Southwestern Endowed Scholars Program.
DOI: 10.5281/zenodo.7943306
title: Datasets for manuscript - Dirichlet diffusion score model for biological sequence generation.

description: This repository holds the trained Dirichlet Diffusion Score models for various datasets. <strong>best_models.tar.gz</strong> It also contains all input data required to train your own models with scripts provided via github repository. <strong>data.tar.gz</strong> This archive contains the following folders: <strong>satnet_sudoku </strong>contains dataset with sudoku examples which we used for evaluation of sudoku model. <strong>promoter_design</strong> contains dataset used for training promoter design model as well as Sei model weights. Please, read provided readme file before using it for training scripts.
description: This work is supported by Cancer Prevention and Research Institute of Texas grant RR190071, NIH grant DP2GM146336, and the UT Southwestern Endowed Scholars Program.
DOI: 10.5519/qd.xqernbhg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34740/kaggle/dsv/5710922
title: Nigerian Presidential Election 2023 Tweets
DOI: 10.5519/qd.rclw7pcb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5545591 records)
DOI: 10.6084/m9.figshare.22905209
title: SMA_multimodal

description: MSI multimodal data used for training
DOI: 10.6084/m9.figshare.22905374
title: Developing Heart Multi Modal

description: Training data for multi modal developing heart
DOI: 10.5281/zenodo.7640951
title: Models simulating abrupt changes in the Chilika lagoon fishery, the Easter Island community, forest dieback and lake water quality

description: This deposit is in support of Willcock et al "Anthropocene ecosystems collapse sooner with faster, multiple and noisy drivers". It covers the following items: (i) A list of the files contained within this data deposit; (ii) How to access and download the specialist software required to view and simulate the system dynamics models (STELLA ‘isee Player’); (iii) How to run isee Player to simulate the models; (iv) How to access and download the standard statistical software ‘R’ to run the R scripts; (v) How to load ‘R’ and modify the standard R script to analyse a subset of the model runs. This file will also details the ‘required content’ (e.g. software versions), as specified in the ‘nr-software-policy.pdf’ document. The full descriptions of each of the four system dynamics models used in this manuscript can be read in the following papers: Lake Chilika – Cooper, G. S. & Dearing, J. A. Modelling future safe and just operating spaces in regional social-ecological systems. <em>Sci. Total Environ.</em> <strong>651</strong>, 2105–2117 (2019), https://doi.org/10.1016/j.scitotenv.2018.10.118 Easter Island – Brandt, G. & Merico, A. The slow demise of Easter Island: Insights from a modeling investigation. <em>Front. Ecol. Evol.</em> <strong>3</strong>, 13 (2015), https://www.frontiersin.org/article/10.3389/fevo.2015.00013 Lake phosphorus – Wang, R. <em>et al.</em> Flickering gives early warning signals of a critical transition to a eutrophic lake state. <em>Nature</em> <strong>492</strong>, 419–22 (2012), http://dx.doi.org/10.1038/nature11655 TRIFFID - Ritchie, P. D. L., Clarke, J. J., Cox, P. M. & Huntingford, C. Overshooting tipping point thresholds in a changing climate. <em>Nat. 2021 5927855</em> <strong>592</strong>, 517–523 (2021), http://dx.doi.org/10.1038/nature11655
DOI: 10.5281/zenodo.7748301
title: Models simulating abrupt changes in the Chilika lagoon fishery, the Easter Island community, forest dieback and lake water quality

description: This deposit is in support of Willcock et al "Anthropocene ecosystems collapse sooner with faster, multiple and noisy drivers". It covers the following items: (i) A list of the files contained within this data deposit; (ii) How to access and download the specialist software required to view and simulate the system dynamics models (STELLA ‘isee Player’); (iii) How to run isee Player to simulate the models; (iv) How to access and download the standard statistical software ‘R’ to run the R scripts; (v) How to load ‘R’ and modify the standard R script to analyse a subset of the model runs. This file will also details the ‘required content’ (e.g. software versions), as specified in the ‘nr-software-policy.pdf’ document. The full descriptions of each of the four system dynamics models used in this manuscript can be read in the following papers: Lake Chilika – Cooper, G. S. & Dearing, J. A. Modelling future safe and just operating spaces in regional social-ecological systems. <em>Sci. Total Environ.</em> <strong>651</strong>, 2105–2117 (2019), https://doi.org/10.1016/j.scitotenv.2018.10.118 Easter Island – Brandt, G. & Merico, A. The slow demise of Easter Island: Insights from a modeling investigation. <em>Front. Ecol. Evol.</em> <strong>3</strong>, 13 (2015), https://www.frontiersin.org/article/10.3389/fevo.2015.00013 Lake phosphorus – Wang, R. <em>et al.</em> Flickering gives early warning signals of a critical transition to a eutrophic lake state. <em>Nature</em> <strong>492</strong>, 419–22 (2012), http://dx.doi.org/10.1038/nature11655 TRIFFID - Ritchie, P. D. L., Clarke, J. J., Cox, P. M. & Huntingford, C. Overshooting tipping point thresholds in a changing climate. <em>Nat. 2021 5927855</em> <strong>592</strong>, 517–523 (2021), http://dx.doi.org/10.1038/nature11655
DOI: 10.6084/m9.figshare.22818224
title: Neutral-based processes overrules niche-based processes in Andean Orchid communities

description: This files comprises the dataframes used for the paper entitled " Neutral-based overrule niche-based processes in shaping tropical montane orchid communities across spatial scales." authored by Edicson Parra-Sanchez, Oscar Perez-Escobar and David Edwards to be published in Journal of Ecology. <br> The four dataset contain the informacion required to conduct all analyses. <br> pred_rar (comprises all the needed precitors) spp_site_Rarity (is the species-by-site matrix with abundance per plot) stacked_vp (is the summary of the Variation partitioning model results) xy_points (gives the geographical coordinates of each sampling plot
DOI: 10.6084/m9.figshare.22905644
title: mouse_prostate

description: Mouse prostate tissue for histology
DOI: 10.5281/zenodo.7946779
title: forpus_xanthopterygius_spades_01.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc2dnr3y
title: CCDC 2224470: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
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: 10.5281/zenodo.7946778
title: forpus_xanthopterygius_spades_01.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc2dnr4z
title: CCDC 2224471: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
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.cc2dnr50
title: CCDC 2224472: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
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.cc2dnr61
title: CCDC 2224473: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
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.cc2dnr72
title: CCDC 2224474: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
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.cc2dnr83
title: CCDC 2224475: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
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.cc2dnr94
title: CCDC 2224476: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
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.cc2dnrb5
title: CCDC 2224477: Experimental Crystal Structure Determination

description: Related Article: Gao-Xiang Wang, Xueli Wang, Yang Jiang, Wang Chen, Chunxiao Shan, Peng Zhang, Junnian Wei, Shengfa Ye, Zhenfeng Xi|2023|J.Am.Chem.Soc.|145|9746|doi:10.1021/jacs.3c01497
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.