cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc277cxs
title: CCDC 2062675: Experimental Crystal Structure Determination

description: Related Article: Toshiharu Ishizaki, Hideaki Karasaki, Yuto Kage, Misaki Kamioka, Yitong Wang, Shigeki Mori, Naoto Ishikawa, Takamitsu Fukuda, Hiroyuki Furuta, Soji Shimizu|2021|Chem.-Eur.J.|27|12686|doi:10.1002/chem.202101755
DOI: 10.5281/zenodo.5547430
title: Multi-Fingerprint Dataset

description: This dataset contains 24 molecular fingerprints calculated for a large set of structures taken from MCULE, SAVI, DUDE, LITPCBA, DEKOIS and MUV. Each zip file contains different fingerprints calculated for the molecules in the database. Each file is a CSV file starting with the molecule name/ID and followed by a string of 0s and 1s.
DOI: 10.5281/zenodo.5547429
title: Multi-Fingerprint Dataset

description: This dataset contains 24 molecular fingerprints calculated for a large set of structures taken from MCULE, SAVI, DUDE, LITPCBA, DEKOIS and MUV. Each zip file contains different fingerprints calculated for the molecules in the database. Each file is a CSV file starting with the molecule name/ID and followed by a string of 0s and 1s.
DOI: 10.5281/zenodo.5553194
title: Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.

description: Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.used to produce figures and tables in: Lindeskog et al.: Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): Implementation and evaluation of simulations for Europe.Geosci.Model.Dev.14:1-41, 2021.
description: {"references": ["Lindeskog et al.: Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): Implementation and evaluation of simulations for Europe.Geosci.Model.Dev.14:1-41, 2021."]}
DOI: 10.5281/zenodo.5553193
title: Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.

description: Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.used to produce figures and tables in: Lindeskog et al.: Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): Implementation and evaluation of simulations for Europe.Geosci.Model.Dev.14:1-41, 2021.
description: {"references": ["Lindeskog et al.: Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): Implementation and evaluation of simulations for Europe.Geosci.Model.Dev.14:1-41, 2021."]}
DOI: 10.5281/zenodo.5546075
title: A Competing Compound For Remdesivir and Molnupiravir In Inhibiting RdRp Protein of COVID-19

description: According to a docking study conducted with the online tool [1][2], the compound Nicotinate mononucleotide with the formula C11H15NO9P+ could inhibit RNA-dependent RNA polymerase (RdRp (RTP site)) protein in COVID-19 coronavirus, with a Score Value of -9.4 (kcal / mol). This is better than the amount for the Remdesivir molecule (-9.2 (kcal / mol)) and after MW correction, it is also better than Molnupiravir, to inhibit the same protein. Since inhibition of this protein plays a key role in the inhibitory function of Remdesivir against COVID-19 virus [3], we can see the Nicotinate mononucleotide compound as an alternative to Remdesivir in inhibiting this coronavirus. Since the molecular weight of Nicotinate mononucleotide (336 g / mol) is approximately half that of Remdesivir (603 g / mol) and Molnupiravir-active-form (499.16 g / mol), it is better in terms of both protein adhesion and absorption capacity. Since the main precursor of Nicotinate mononucleotide, Trigonelline alkaloid, is a naturally occurring plant secondary metabolite, and Nicotinate mononucleotide itself is present in mammalian biomolecular pathways, it is likely to be more available, more cost-effective, and more non-toxic and be better than Remdesivir and Molnupiravir. Please see added data.
DOI: 10.5281/zenodo.4743222
title: A Competing Compound For Remdesivir and Molnupiravir In Inhibiting RdRp Protein of COVID-19

description: According to a docking study conducted with the online tool [1][2], the compound Nicotinate mononucleotide with the formula C11H15NO9P+ could inhibit RNA-dependent RNA polymerase (RdRp (RTP site)) protein in COVID-19 coronavirus, with a Score Value of -9.4 (kcal / mol). This is better than the amount for the Remdesivir molecule (-9.2 (kcal / mol)) and after MW correction, it is also better than Molnupiravir, to inhibit the same protein. Since inhibition of this protein plays a key role in the inhibitory function of Remdesivir against COVID-19 virus [3], we can see the Nicotinate mononucleotide compound as an alternative to Remdesivir in inhibiting this coronavirus. Since the molecular weight of Nicotinate mononucleotide (336 g / mol) is approximately half that of Remdesivir (603 g / mol) and Molnupiravir-active-form (499.16 g / mol), it is better in terms of both protein adhesion and absorption capacity. Since the main precursor of Nicotinate mononucleotide, Trigonelline alkaloid, is a naturally occurring plant secondary metabolite, and Nicotinate mononucleotide itself is present in mammalian biomolecular pathways, it is likely to be more available, more cost-effective, and more non-toxic and be better than Remdesivir and Molnupiravir. Please see added data.
DOI: 10.6084/m9.figshare.14039666
title: Supplementary data and research materials for "SARS-CoV-2 outbreaks on Danish mink farms and mitigating public health interventions"

description: This 7-ZIP file contains data and Stata codes to replicate the results presented in:<br><br>"SARS-CoV-2 outbreaks on Danish mink farms and mitigating public health interventions"<br><br>written by Torben Dall Schmidt and Timo Mitze (2021).<br><br>Accepted for publication in: European Journal of Public Health<br><br>Article DOI: 10.1093/eurpub/ckab182<br>
DOI: 10.6084/m9.figshare.14039666.v1
title: Supplementary data and research materials for "SARS-CoV-2 outbreaks on Danish mink farms and mitigating public health interventions"

description: This 7-ZIP file contains data and Stata codes to replicate the results presented in:<br><br>"SARS-CoV-2 outbreaks on Danish mink farms and mitigating public health interventions"<br><br>written by Torben Dall Schmidt and Timo Mitze (2021).<br><br>Accepted for publication in: European Journal of Public Health<br><br>Article DOI: 10.1093/eurpub/ckab182<br>
DOI: 10.5063/f10000h5
title: The effect of shrub density on animal abundance (Carrizo Plain National Monument)

description: The following data was collected in the Carrizo Plain National Monument in Southern California during the summer of 2017. 10 cameras were deployed facing shrub and open microsites and were rotated twice. The cameras remained deployed for a total of 24 days
DOI: 10.5063/f1v986g3
title: The effect of shrubs on animals (Panoche 2019)

description: The following data was collected in Panoche hills in Southern California during the summer of 2019. 7 cameras were deployed facing shrub and open microsites and were rotated once. The cameras remained deployed for a total of 14 days.
DOI: 10.5063/f1qj7frc
title: The effect of shrubs on animals (Mojave)

description: The purpose of this study was to observe the effects of different shrubs on animal populations. 16 camera traps were deployed in the Mojave desert in Southern California for a 21 day duration.
DOI: 10.5281/zenodo.5554971
title: Data and R-Scripts: Predicting hotspots for invasive species introduction in Europe

description: The .rar file comprises all data and R-scripts needed to replicate our study entitled "<em>Predicting Hotspots for Invasive Species Introduction in Europe</em>" published in <em>Environmental Research Letters</em>. The folder <em>data </em>holds all input data as well as the final datasets used for training the algorithms, in the subfolder <em>A_ML_ready_datasets</em>. The folder <em>descriptives </em>provides tables with descriptive statistics<em>. </em>The folder<em> figures </em>provides files for all figures displayed in the manuscript and the supplementary material as well as visualizations of descriptive statistics for all background approaches in the corresponding subfolders. The folder <em>results </em>holds all generated results. The folder <em>scripts</em> provides all R-scripts used for intermediate computations. The <em>master </em>and <em>master_results</em> scripts coordinate all computations and the generation of results, respectively. Notably, various spatial layers were used to extract point-values of features which subsequently were used to estimate the models and generate the predictions. Here, we only upload the extracted point-values in the <em>data </em>folder. If you are interested in using any of the raw spatial layers, please refer to section 2.1.3. of our publication to find the corresponding references. Alternatively, feel free to reach out to me and I will direct you to the original databases and/or send you the raw spatial layers.
DOI: 10.5281/zenodo.5554970
title: Data and R-Scripts: Predicting hotspots for invasive species introduction in Europe

description: The .rar file comprises all data and R-scripts needed to replicate our study entitled "<em>Predicting Hotspots for Invasive Species Introduction in Europe</em>" published in <em>Environmental Research Letters</em>. The folder <em>data </em>holds all input data as well as the final datasets used for training the algorithms, in the subfolder <em>A_ML_ready_datasets</em>. The folder <em>descriptives </em>provides tables with descriptive statistics<em>. </em>The folder<em> figures </em>provides files for all figures displayed in the manuscript and the supplementary material as well as visualizations of descriptive statistics for all background approaches in the corresponding subfolders. The folder <em>results </em>holds all generated results. The folder <em>scripts</em> provides all R-scripts used for intermediate computations. The <em>master </em>and <em>master_results</em> scripts coordinate all computations and the generation of results, respectively. Notably, various spatial layers were used to extract point-values of features which subsequently were used to estimate the models and generate the predictions. Here, we only upload the extracted point-values in the <em>data </em>folder. If you are interested in using any of the raw spatial layers, please refer to section 2.1.3. of our publication to find the corresponding references. Alternatively, feel free to reach out to me and I will direct you to the original databases and/or send you the raw spatial layers.
DOI: 10.6084/m9.figshare.16764640
title: mV spec file

description: higher energy MV dataset file
DOI: 10.6084/m9.figshare.16764640.v1
title: mV spec file

description: higher energy MV dataset file
DOI: 10.15468/ys2fak
title: Sabellariids (Annelida: Sedentaria: Sabellariidae) from shallow waters of the Gulf of Mexico and the Caribbean Sea, including three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chávez-López, Yessica (2021): Sabellariids (Annelida: Sedentaria: Sabellariidae) from shallow waters of the Gulf of Mexico and the Caribbean Sea, including three new species. Zootaxa 5048 (2): 191-214, DOI: https://doi.org/10.11646/zootaxa.5048.2.3
DOI: 10.6084/m9.figshare.16764508.v1
title: Toroidal topology of population activity in grid cells

description: Data for Toroidal topology of population activity in grid cells<br>Code can be found at https://github.com/erikher/GridCellTorus
DOI: 10.6084/m9.figshare.16764634
title: Reference-based Stacks.vcf

description: Genotype-by-Sequencing (GBS) DNA reads were produced from European C. sativa accessions. GBS reads were aligned to the <i>C. sativa</i> genome using Burrows-Wheeler Aligner (BWA)-MEM. Single nucleotide polymorphisms were called using Stacks. Only SNPs with a minor allele frequency greater than 0.05 and a missingness less than 20% were kept; only the first SNP in each locus was kept as well. <br>
DOI: 10.6084/m9.figshare.16764634.v1
title: Reference-based Stacks.vcf

description: Genotype-by-Sequencing (GBS) DNA reads were produced from European C. sativa accessions. GBS reads were aligned to the <i>C. sativa</i> genome using Burrows-Wheeler Aligner (BWA)-MEM. Single nucleotide polymorphisms were called using Stacks. Only SNPs with a minor allele frequency greater than 0.05 and a missingness less than 20% were kept; only the first SNP in each locus was kept as well. <br>
DOI: 10.6084/m9.figshare.16764628
title: Test data to run the R scripts behind the Diversity for Restoration Tool

description: Test data to run the R scripts behind the Diversity for Restoration tool (https://www.diversityforrestoration.org/), described in *** Add citation to paper in Journal of Applied Ecology here ***
DOI: 10.6084/m9.figshare.16764628.v1
title: Test data to run the scripts behind the Diversity for Restoration Tool

description: Test data to run the script behind the Diversity for Restoration tool (https://www.diversityforrestoration.org/), described in *** Add citation to paper in Journal of Applied Ecology here ***
DOI: 10.17894/ucph.5e12bdda-b2d7-4835-8ae1-a7c49affb97b
title: Produced data sets for the research paper entitled The impact of Conflict-Driven Cropland Abandonment On Food Insecurity In South Sudan Revealed With Multisource Satellite Remote Sensing submitted to Nature Food journal

description: Author(s) Victor Mackenhauer Olsen, Rasmus Fensholt, Pontus Olofsson, Rogerio Bonifacio, Van Butsic, Daniel Druce, Deepak Ray, Alexander V. Prishchepov Title Produced data sets for the research paper entitled The impact of Conflict-Driven Cropland Abandonment On Food Insecurity In South Sudan Revealed With Multisource Satellite Remote Sensing submitted to Nature Food journal. Description Produced data sets for "The impact of conflict-driven cropland abandonment on food insecurity in South Sudan revealed with multisource satellite remote sensing" research manuscript submitted to Nature Food journal. Victor Mackenhauer Olsen, Rasmus Fensholt, Pontus Olofsson, Rogerio Bonifacio, Van Butsic, Daniel Druce, Deepak Ray, Alexander V. Prishchepov The archived data set contains: 1 Land-cover classification results classification-results.zip -cropland maps for 2016, 2017 and 2018 2. Conflict-and-non-conflict areas conflict-and-nonConflict.zip -original Armed Conflict Location and Event Data Project (ACLED) conflict points from https://acleddata.com/ -points remaining after post-matching following 5 and 10 km sample 3. Spatially-explicit covariates covariates.zip -distance to settlement -population density -distance to roads. Training and validation data for the classification of satellite images or other clarifications can be obtained upon request from Victor Olsen victor.olsen at hotmail.com.
DOI: 10.6084/m9.figshare.16712935
title: Structures, IR specra and wavefunctions of acetylene, ethane and their dimers, optimized at the MP2/cc-pVDZ level.

description: XYZ files of optimized structures, JCAMP-DX containing IR spectra of optimized structures and MOLDEN format of wavefunctions for the optimized structures have been deposited at figshare.org under DOI:10.6084/m9.figshare.16712935 and are publicly available as of the date of publication.<br>The files in XYZ format contain optimum structures, energies and zero point energies at the MP2/cc-pVDZ level. Files in MOLDEN format can be analyzed by Multiwfn. Text files contain the values of properties at the critical points found by topology analysis of dimers 7 and 8. In both cases the critical point of interest is #16.
DOI: 10.6084/m9.figshare.16756102
title: A Collection of Building Footprint Data in US Counties_Part 7

description: This figshare repository is a collection of building footprint in US Counties. See the references below for more details.<br>References:Heris, M.P., Foks, N.L., Bagstad, K.J. et al. A rasterized building footprint dataset for the United States. Sci Data 7, 207 (2020). https://doi.org/10.1038/s41597-020-0542-3
DOI: 10.6084/m9.figshare.16756102.v1
title: A Collection of Building Footprint Data in US Counties_Part 7

description: This figshare repository is a collection of building footprint in US Counties. See the references below for more details.<br>References:Heris, M.P., Foks, N.L., Bagstad, K.J. et al. A rasterized building footprint dataset for the United States. Sci Data 7, 207 (2020). https://doi.org/10.1038/s41597-020-0542-3
DOI: 10.6084/m9.figshare.16764529
title: RGS7_GB5_RGS7_GB5_CD1_pH7p5_10_1.raw

description: RGS7 GB5 vs RGS7 GB5 CD1
DOI: 10.6084/m9.figshare.16764529.v1
title: RGS7_GB5_RGS7_GB5_CD1_pH7p5_10_1.raw

description: RGS7 GB5 vs RGS7 GB5 CD1
DOI: 10.6084/m9.figshare.16574834.v1
title: A Collection of Building Footprint Data in US Counties_Part 6

description: This figshare repository is a collection of building footprint in US Counties. See the references below for more details.<br>References:Heris, M.P., Foks, N.L., Bagstad, K.J. et al. A rasterized building footprint dataset for the United States. Sci Data 7, 207 (2020). https://doi.org/10.1038/s41597-020-0542-3
DOI: 10.18739/a2w08wh74
title: A Regional Arctic Ocean and Sea Ice Model with JRA-55 forcing, 2010-2015

description: The model used in this study is a regional coupled sea ice-ocean model based on the Massachusetts Institute of Technology general circulation model (MITgcm). This Arctic ocean/seaice model was applied to study the flow of water from the Chukchi Sea into the Arctic Ocean. This is motivated by the recently discovered Chukchi Slope Current. The model reproduces the observed flow across the shelf, through Barrow Canyon, and the westward-flowing Chukchi Slope Current. Mass, heat, and salt fluxes are diagnosed, pathways and the seasonal cycle are identified. Source code modifications, forcing fields, input files, and various scripts are provided to run the MITgcm and produce model fields used in publication Leng, H., M. A. Spall, R. S. Pickart, P. Lin and X. Bai, 2021: Origin and fate of the Chukchi Slope Current using a numerical model and in-situ data. J. Geophys. Res., 126, e2021JC017291. https://doi.org/10.1029/2021JC017291. This work was carried out at the Woods Hole Oceanographic Institution during 2020.
DOI: 10.15156/bio/sh230093.07fu
title: SH230093.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh230094.07fu
title: SH230094.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh230095.07fu
title: SH230095.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh230096.07fu
title: SH230096.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh230097.07fu
title: SH230097.07FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.