cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14602641
title: Supporting Computational Data for publication: "Engineering Improved Ethylene Production: Leveraging Systems Biology and Adaptive Laboratory Evolution"

description: Supporting Computational Data for publication: "Engineering Improved Ethylene Production: Leveraging Systems Biology and Adaptive Laboratory Evolution"<br>bySophie Vaud, Nicole Pearcy, Marko Hanževački, Alexander M. W. Van Hagen,<sup> </sup>Salah Abdelrazig, Laudina Safo, Muhammad Ehsaan, Magdalene Jonczyk, Thomas Millat<sup> </sup>Sean Craig, Rajesh Reddy Bommareddy, Pierre-Yves Colin, Jamie Twycross, Paul Dalby,<sup> </sup>Nigel Minton, Christof M. Jäger, Dong-Hyun Kim, Jianping Yu, Pin-Ching Maness, Sean Lynch, Carrie Eckert,<sup> </sup>Alex Conradie, and Samantha J. Bryan<br>Force Field parameter files and input files for MD simulations in manuscript.
DOI: 10.6084/m9.figshare.14602641.v1
title: Supporting Computational Data for publication: "Engineering Improved Ethylene Production: Leveraging Systems Biology and Adaptive Laboratory Evolution"

description: Supporting Computational Data for publication: "Engineering Improved Ethylene Production: Leveraging Systems Biology and Adaptive Laboratory Evolution"<br>bySophie Vaud, Nicole Pearcy, Marko Hanževački, Alexander M. W. Van Hagen,<sup> </sup>Salah Abdelrazig, Laudina Safo, Muhammad Ehsaan, Magdalene Jonczyk, Thomas Millat<sup> </sup>Sean Craig, Rajesh Reddy Bommareddy, Pierre-Yves Colin, Jamie Twycross, Paul Dalby,<sup> </sup>Nigel Minton, Christof M. Jäger, Dong-Hyun Kim, Jianping Yu, Pin-Ching Maness, Sean Lynch, Carrie Eckert,<sup> </sup>Alex Conradie, and Samantha J. Bryan<br>Force Field parameter files and input files for MD simulations in manuscript.
DOI: 10.5281/zenodo.4766141
title: Color recognition data set

description: This data-set is used in research of color difference recognition. <br> Dataset contains images extracted from functional markers, in these images there are differect QR-Code cells presented.<br> Extracted area has total of 5 rows, where functional part of the marker, sensor ink, is on rows 3 and 4. - Black cells illustrate QR-Codes black cells (binary 1)<br> - White (or no color) cells illustrate QR-Codes white cells (binary 0)<br> - Colored cells (only on rows 3 & 4) appear in different intensity and they are considered as white cells (binary 0) intensity and color of colored cells vary as defined in filename. Image have been capture with iPhone 8 in varying conditions. Filename defines following, underscore (_) is used as separator - Filename always starts with text "sensor"<br> - QR-code size in cells<br> - Capturing distance in centimeters (if not measured then "X")<br> - Color intensity in percentage and color channel (RGB or CMYK), for example 10G = 10% in Green channel and 20CM = 20 in Cyan and Magenta<br> - Ambient light in LUX (if not measured then "X")
DOI: 10.5281/zenodo.4766140
title: Color recognition data set

description: This data-set is used in research of color difference recognition. <br> Dataset contains images extracted from functional markers, in these images there are differect QR-Code cells presented.<br> Extracted area has total of 5 rows, where functional part of the marker, sensor ink, is on rows 3 and 4. - Black cells illustrate QR-Codes black cells (binary 1)<br> - White (or no color) cells illustrate QR-Codes white cells (binary 0)<br> - Colored cells (only on rows 3 & 4) appear in different intensity and they are considered as white cells (binary 0) intensity and color of colored cells vary as defined in filename. Image have been capture with iPhone 8 in varying conditions. Filename defines following, underscore (_) is used as separator - Filename always starts with text "sensor"<br> - QR-code size in cells<br> - Capturing distance in centimeters (if not measured then "X")<br> - Color intensity in percentage and color channel (RGB or CMYK), for example 10G = 10% in Green channel and 20CM = 20 in Cyan and Magenta<br> - Ambient light in LUX (if not measured then "X")
DOI: 10.34740/kaggle/dsv/2238007
title: 2021 World Population (updated daily)
DOI: 10.15468/bpmdyg
title: Eight New Species Of Amphinemura (Plecoptera: Nemouridae) From Vietnam

description: This dataset contains the digitized treatments in Plazi based on the original journal article Stark, Bill P., Sivec, Ignac (2010): Eight New Species Of Amphinemura (Plecoptera: Nemouridae) From Vietnam. Illiesia 6 (5): 41-51, DOI: http://doi.org/10.5281/zenodo.4759607
DOI: 10.5281/zenodo.4611489
title: Dataset of the publication "Sarcocystis species in bovine carcasses from a Belgian abattoir: a cross-sectional study"

description: This file contains data of an observational study on the occurrence of <em>Sarcocystis</em> species in bovine carcasses from a slaughterhouse in Belgium, associated with the publication: Hang Zeng, Inge Van Damme, Teresia Wanjiru Kabi, Barbara Šoba, Sarah Gabriël (2021). <em>Sarcocystis</em> species in bovine carcasses from a Belgian abattoir: a cross-sectional study.
DOI: 10.5281/zenodo.4611488
title: Dataset of the publication "Sarcocystis species in bovine carcasses from a Belgian abattoir: a cross-sectional study"

description: This file contains data of an observational study on the occurrence of <em>Sarcocystis</em> species in bovine carcasses from a slaughterhouse in Belgium, associated with the publication: Hang Zeng, Inge Van Damme, Teresia Wanjiru Kabi, Barbara Šoba, Sarah Gabriël (2021). <em>Sarcocystis</em> species in bovine carcasses from a Belgian abattoir: a cross-sectional study.
DOI: 10.15468/cfwj5r
title: Caroperla Longiseta (Plecoptera: Perlidae), A New Stonefly Species From Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sivec, Ignac, Stark, Bill P. (2010): Caroperla Longiseta (Plecoptera: Perlidae), A New Stonefly Species From Thailand. Illiesia 6 (7): 58-61, DOI: http://doi.org/10.5281/zenodo.4759649
DOI: 10.7910/dvn/5gpmni
title: A Glass of Albanian Mountain Tea - Why You Should Drink It Before Bed

description: Anti Allergy Tea
DOI: 10.15468/9frcvj
title: Five New Species Of Chinoperla Zwick (Plecoptera: Perlidae) From Vietnam And Thailand

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sivec, Ignac, Stark, Bill P. (2010): Five New Species Of Chinoperla Zwick (Plecoptera: Perlidae) From Vietnam And Thailand. Illiesia 6 (8): 62-74, DOI: http://doi.org/10.5281/zenodo.4759667
DOI: 10.25345/c54c0j
title: MassIVE MSV000087440 - GNPS- ZH Test Samples - Human/Cattle
title: This test set investigates the fecal metabolome of two human and two cattle subjects.
DOI: 10.6084/m9.figshare.14602677.v1
title: Historical Migration Data Source

description: The data includes original child ladder migration data, intermediate, and output files to help produce flow map time series.
DOI: 10.5519/qd.zyryq101
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.6084/m9.figshare.12423776
title: Autoantibodies measured in plasma samples from the TACERA Study

description: A Luminex bead-based antigen array (Protagen-AG) was used to measure the autoantibody response against 192 human protein antigens at baseline and 6 months in plasma samples in early Rheumatoid Arthritis (RA) patients and healthy controls. <br>RA Patients recieved methotrexate at baseline.
DOI: 10.6084/m9.figshare.12423776.v2
title: Autoantibodies measured in plasma samples from the TACERA Study

description: A Luminex bead-based antigen array (Protagen-AG) was used to measure the autoantibody response against 192 human protein antigens at baseline and 6 months in plasma samples in early Rheumatoid Arthritis (RA) patients and healthy controls. <br>RA Patients recieved methotrexate at baseline.
DOI: 10.5281/zenodo.4766250
title: Study area

description: This file is an extent of the study erea
DOI: 10.5281/zenodo.4766249
title: Study area

description: This file is an extent of the study erea
DOI: 10.15468/b5468d
title: New Species And New Records Of Plecoptera From Korea And The Russian Far East

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zwick, Peter (2010): New Species And New Records Of Plecoptera From Korea And The Russian Far East. Illiesia 6 (9): 75-97, DOI: http://doi.org/10.5281/zenodo.4759703
DOI: 10.5281/zenodo.4766252
title: DECIMER V1.0 Datasets

description: The Dataset contains SMILES obtained from PubChem and filtered using DECIMER filtering rules. The Dataset Split into Train and Test datasets. The SELFIES for the corresponding SMILES are also included in the dataset. 1. Dataset 1: Canonical SMILES + SELFIES 2. Dataset 2: Isomeric SMILES + SELFIES Please refer to the paper for more details: Rajan, Kohulan; Zielesny, Achim; Steinbeck, Christoph (2021): DECIMER 1.0: Deep Learning for Chemical Image Recognition using Transformers. ChemRxiv. Preprint. https://doi.org/10.26434/chemrxiv.14479287.v1
DOI: 10.5281/zenodo.4766251
title: DECIMER V1.0 Datasets

description: The Dataset contains SMILES obtained from PubChem and filtered using DECIMER filtering rules. The Dataset Split into Train and Test datasets. The SELFIES for the corresponding SMILES are also included in the dataset. 1. Dataset 1: Canonical SMILES + SELFIES 2. Dataset 2: Isomeric SMILES + SELFIES Please refer to the paper for more details: Rajan, Kohulan; Zielesny, Achim; Steinbeck, Christoph (2021): DECIMER 1.0: Deep Learning for Chemical Image Recognition using Transformers. ChemRxiv. Preprint. https://doi.org/10.26434/chemrxiv.14479287.v1
DOI: 10.25345/c50n83
title: MassIVE MSV000087441 - GFI1 tethers the nucleosome-remodeling and histone-deacetylase (NuRD) complex to open and transcriptionally active chromatin in myeloid progenitors
title: BioID samples are the following: GFI1_WT_REP1: OF_20181019_MOR_01_HB.raw, GFI1_WT_REP2: OF_20181019_MOR_02_HB.raw, GFI1_DeltaSNAG_REP1: OF_20181019_MOR_03_HB.raw, GFI1_DeltaSNAG_REP2: OF_20181019_MOR_04_HB.raw
DOI: 10.5517/ccdc.csd.cc1zqwf0
title: CCDC 1839243: Experimental Crystal Structure Determination

description: Related Article: Jia-Peng Wang, Yan Shu, Rui Liu, Jun-Li Gan, Si-Ping Deng, Xue-Yun Cai, Jun-Tao Hu, Le Cai, Zhong-Tao Ding|2021|Phytochemistry|187|112762|doi:10.1016/j.phytochem.2021.112762
DOI: 10.5517/ccdc.csd.cc25fvvb
title: CCDC 2009322: Experimental Crystal Structure Determination

description: Related Article: Munshi Sahid Hossain, Subhajit Bandyopadhyay|2021|J.Org.Chem.|86|6314|doi:10.1021/acs.joc.1c00105
DOI: 10.15468/bcna6q
title: Studies On Korean Stoneflies (Insecta: Plecoptera) With Descriptions Of Two New Species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Stark, Bill P. (2010): Studies On Korean Stoneflies (Insecta: Plecoptera) With Descriptions Of Two New Species. Illiesia 6 (1): 1-10, DOI: http://doi.org/10.5281/zenodo.4759533
DOI: 10.25345/c5vv5s
title: MassIVE MSV000087442 - Glycan-protein Cross-linking Mass Spectrometry (PNT2 cells)
title: The vast majority of membrane proteins are glycosylated with complicated glycan structures attached to the polypeptide backbone. Glycan-protein interactions are fundamental elements in many cellular events. Therefore, we developed a cross-linking method to elucidate the glycan-mediated interactions between membrane proteins through sialic acids.
DOI: 10.5281/zenodo.4575582
title: RCH Detection with Mask R-CNN Image Annotations

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This is a collection of xml files that contain coordinates of the locations of known RCHs on images. These files are known as annotations and are used by Mask R-CNN to identify objects to detect during training of a model. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4575581
title: RCH Detection with Mask R-CNN Image Annotations

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This is a collection of xml files that contain coordinates of the locations of known RCHs on images. These files are known as annotations and are used by Mask R-CNN to identify objects to detect during training of a model. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5517/ccdc.csd.cc25fvxd
title: CCDC 2009324: Experimental Crystal Structure Determination

description: Related Article: Munshi Sahid Hossain, Subhajit Bandyopadhyay|2021|J.Org.Chem.|86|6314|doi:10.1021/acs.joc.1c00105
DOI: 10.5517/ccdc.csd.cc25wpmd
title: CCDC 2022614: Experimental Crystal Structure Determination

description: Related Article: Ling-Yang Wang, Ming-Yu Zhao, Fan-Zhi Bu, Yuan-Yuan Niu, Yue-Ming Yu, Yan-Tuan Li, Cui-Wei Yan, Zhi-Yong Wu|2021|Cryst.Growth Des.|21|2763|doi:10.1021/acs.cgd.0c01673
DOI: 10.5517/ccdc.csd.cc26f3wn
title: CCDC 2038401: Experimental Crystal Structure Determination

description: Related Article: Virendra K. Tiwari, Douglas R. Powell, Sylvain Broussy, David B. Berkowitz|2021|J.Org.Chem.|86|6494|doi:10.1021/acs.joc.1c00326
DOI: 10.5517/ccdc.csd.cc26f3xp
title: CCDC 2038402: Experimental Crystal Structure Determination

description: Related Article: Virendra K. Tiwari, Douglas R. Powell, Sylvain Broussy, David B. Berkowitz|2021|J.Org.Chem.|86|6494|doi:10.1021/acs.joc.1c00326
DOI: 10.5281/zenodo.4583945
title: RCH Detection with Mask R-CNN Images.

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This file contains all of the images representing tiles of lidar images of state game lands. These images are used for predictions to locate RCHs. A subset is used for training. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4583944
title: RCH Detection with Mask R-CNN Images.

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This file contains all of the images representing tiles of lidar images of state game lands. These images are used for predictions to locate RCHs. A subset is used for training. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5517/ccdc.csd.cc26zbr9
title: CCDC 2054951: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc26zbsb
title: CCDC 2054952: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc26zbtc
title: CCDC 2054953: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc26zbvd
title: CCDC 2054954: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc26zbxg
title: CCDC 2054956: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc26zbyh
title: CCDC 2054957: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc26zbzj
title: CCDC 2054958: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc26zc0l
title: CCDC 2054959: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc26zc1m
title: CCDC 2054960: Experimental Crystal Structure Determination

description: Related Article: Julia A. Brown, Alexandra L. Chaparro, Leah C. McCarthy, Sophia C. Moniodes, Erin E. Ostrowski, Maria E. Carroll|2021|Polyhedron|203|115168|doi:10.1016/j.poly.2021.115168
DOI: 10.5517/ccdc.csd.cc27405l
title: CCDC 2059428: Experimental Crystal Structure Determination

description: Related Article: Shanmuga Sundari  Sankaran|2021|CSD Communication|||
description: Related Article: S. Shanmuga Sundari, A. Mano Priya, A. Durairajan, M.A. Valente|2021|J.Solid State Chem.|300|122211|doi:10.1016/j.jssc.2021.122211
DOI: 10.5281/zenodo.4580726
title: RCH Detection with Mask R-CNN Polys

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This file is a collection of shapefiles representing the boundaries of image tiles of the lidar images of the State Game Lands. The subdirectory cfg20200826T2315 contains shapefiles of representing predictions of the model. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4580725
title: RCH Detection with Mask R-CNN Polys

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This file is a collection of shapefiles representing the boundaries of image tiles of the lidar images of the State Game Lands. The subdirectory cfg20200826T2315 contains shapefiles of representing predictions of the model. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4579935
title: RCH Detection with Mask R-CNN Training Images

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This file contains all of the images used for training the Mask R-CNN model. Each image contains at least one known RCH. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4579934
title: RCH Detection with Mask R-CNN Training Images

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This file contains all of the images used for training the Mask R-CNN model. Each image contains at least one known RCH. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4581281
title: RCH Detection with Mask R-CNN Predictions

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This is a collection of xml files that contain pixel coordinates of the locations of predicted RCHs on images. These files are similar to the training annotations. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.5281/zenodo.4581280
title: RCH Detection with Mask R-CNN Predictions

description: These data are part of a project to detect relict charcoal hearths (RCH) in landscape images using Mask R-CNN, a deep learning library based on Keras and Tensorflow. This is a collection of xml files that contain pixel coordinates of the locations of predicted RCHs on images. These files are similar to the training annotations. For additional information, please see https://zenodo.org/record/4766351
DOI: 10.6084/m9.figshare.14602479.v1
title: Carabid - fungal associations

description: Literature-based associations between ground beetles (Coleoptera: Carabidae) and Fungi. Data are provided as an importable MySQL database, as well as .csv tables, both as separate tables and as one merged dataset.
DOI: 10.6084/m9.figshare.14046581
title: Fig.3, Supp Fig. 5

description: Fastq files for main fig. 3 and supplementary fig. 5
DOI: 10.6084/m9.figshare.14046581.v1
title: Fig.3, Supp Fig. 5

description: Fastq files for main fig. 3 and supplementary fig. 5
DOI: 10.5281/zenodo.4598100
title: Pennsylvania State Game Lands 281-335 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 281-335 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 47.6 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4598096
title: Pennsylvania State Game Lands 261-280 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 261-280 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 82.8 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4598099
title: Pennsylvania State Game Lands 281-335 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 281-335 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 47.6 GB in size. For additional information, please see https://zenodo.org/record/4766351.
DOI: 10.5281/zenodo.4598089
title: Pennsylvania State Game Lands 251-260 LiDAR Derivatives (DEM, Slope Analysis, Hillshade)

description: This ZIP file contains lidar derivatives including a Digital Elevation Map, Slope Analysis, and Hillshade individually encompassing Pennsylvania State Game Lands 251-260 as well as a one kilometer buffer around each region. These files were derived from lidar data provided by the state of Pennsylvania and processed using LAStools and QGIS through Project Kappa (https://zenodo.org/record/4573004). When unzipped, this file is approximately 9.65 GB in size. For additional information, please see https://zenodo.org/record/4766351.