cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2flgfy
title: CCDC 2252070: Experimental Crystal Structure Determination

description: Related Article: Wenzhan Yang, Steve Cook, Dedong Wu|2023|Pharm. Res.|40|977|doi:10.1007/s11095-023-03503-2
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: 10.5066/p9zjm9fl
title: Ecological, Geomorphological, Sedimentological, and Geochemical Records of Pre- and Post-Colonial Riparian Ecosystems in Anne Arundel County, Maryland

description: This data release includes data collected in the pursuit of identifying pre- and post-colonial riparian ecosystems found throughout Anne Arundel County, Maryland, USA. A single raster file is included, and represents a topological classification of the entire county according to a hydrologically conditioned Digital Elevation Model (DEM). Ten shapefiles are also included, nine of which represent the depths of various soil layers as identified by ground-penetrating radar for two detailed study sites within Anne Arundel County. A tenth documents the depths cored at both detailed study sites, and their spatial locations. Finally, twenty comma-delimited tables are included in this release with fifteen tables documenting pollen records at various depths identified within sediment samples taken throughout the country's flood plains. The remaining five tables include the following: general summary information for all sample sites; radiocarbon dates associated with woody material within the sediment cores; morphological information identifying tree species found buried in-situ throughout the county; visible, near-infrared, and X-Ray Fluorescence (XRF) information associated with each core; and a data dictionary for the previous information.
DOI: 10.34740/kaggle/dsv/5701063
title: Balochi Language to English Translation Dataset
DOI: 10.13023/wzxy-w420
title: Spatiotemporal Retrievals of Soil Moisture and Geomorphologic Data for Landslide Sites in Eastern Kentucky

description: These data are the soil texture, land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates, artificial neural network machine learning code, and in-situ soil moisture measurements.
DOI: 10.25345/c54b2xf7b
title: MassIVE MSV000091969 - GNPS Ganoderma lucidum vs diary supplementary
title: Ganoderma lucidum Karst, a medicinal fungus called Lingzhi in China, is a commonly used Chinese herb and an important ingredient in traditional Chinese medicine herbal formulations for the prevention and treatment of various types of diseases, such as cancer, hepatopathy, arthritis, hypertension, neurasthenia, debility, etc. Lingzhi has long been used as a folk remedy for promotion of health and longevity in China and other oriental countries. The most attractive character of this kind of medicinal fungus is its immunomodulatory and antitumor activities.
DOI: 10.25345/c50k26n23
title: MassIVE MSV000091968 - protein footprinting with mouse
title: Dimethylation on lysine residues with mouse tissue
DOI: 10.5519/qd.zm69tpzq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17909/mnp4-f880
title: SESAMME I Archival Spectra

description: COS/FUV exposures towards two young, massive stellar clusters in M83 (M83-3 and M83-8) and two in NGC 1313 (YSC-1 and YSC-2). Used in Jones et al. 2023 to validate the output of the star cluster spectral fitting code SESAMME.
DOI: 10.21227/6jg0-3483
title: Dataset for Identification of Saturated and Unsaturated Wi-Fi Networks

description: Dataset for Identification of Saturated and Unsaturated WiFi NetworksThe Dataset comprises the histogram of Inter-frame spacing for saturated and unsaturated WiFi networks.In order to develop a CNN model that can classify saturated and unsaturated traffic in WiFi network, we prepared a large dataset that represents the traffic characteristics of both cases.
DOI: 10.21227/ej6c-8671
title: Dataset for Identification of Saturated and Unsaturated Wi-Fi Networks

description: Dataset for Identification of Saturated and Unsaturated WiFi NetworksThe Dataset comprises the histogram of Inter-frame spacing for saturated and unsaturated WiFi networks.In order to develop a CNN model that can classify saturated and unsaturated traffic in WiFi network, we prepared a large dataset that represents the traffic characteristics of both cases.
DOI: 10.6084/m9.figshare.22862753
title: moscow_halfmarathon2022.RData

description: Results of Moscow halfmarathon 2022
DOI: 10.6084/m9.figshare.22862753.v1
title: moscow_halfmarathon2022.RData

description: Results of Moscow halfmarathon 2022
DOI: 10.5281/zenodo.6501834
title: Direct and indirect effects of climate and land use change on food webs in lakes and streams

description: Here, we provide the data and code necessary to reproduce the workflow and analysis in: Barbosa and Siqueira. Direct and indirect effects of climate and land use change on food webs in lakes and streams. A preprint is available at https://doi.org/10.1101/2022.04.18.488700 We compiled multicontinental data to investigate how climate and land use change are related to the structure of freshwater food webs, considering the inherent differences in lentic and lotic ecosystems. We analyzed the direct and indirect relationships between land use intensity, and temperature and precipitation changes, and food webs using multi-group structural equation modeling. Freshwater food webs were obtained from three sources: the Mangal interaction database, using the rmangal package in R, the GlobAl databasE of traits and food Web Architecture (GATEWAY) version 1.0, and the Interaction Web Data Base (IWDB). We also included food webs acquired from a search in the Web of Science Core Collection. Land use data was compiled from the global ESA CCI database, an annually generated land cover product at 300 m resolution for the period 1992 – 2015. Climate data was compiled from the TerraClimate database, a monthly generated product for climate and climatic water balance for global terrestrial surfaces at ~ 4 km for the period 1958 – 2015.
description: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES) - Finance Code 001 through a PhD scholarship conceived to GPB. TS was supported by grant #309496/2021-7, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and grant 21/00619-7, São Paulo Research Foundation (FAPESP).
DOI: 10.5281/zenodo.6501835
title: Data and script: A multi-continental analysis of the responses of freshwater food webs to climate and land use change

description: Here, we provide the data and code necessary to reproduce the workflow and analysis in: Barbosa and Siqueira. A multi-continental analysis of the responses of freshwater food webs to climate and land use change. A preprint is available at https://doi.org/10.1101/2022.04.18.488700 We compiled multicontinental data to investigate how climate and land use change are related to the structure of freshwater food webs, considering the inherent differences in lentic and lotic ecosystems. We analyzed the direct and indirect relationships between land use intensity, and temperature and precipitation temporal trends, and food webs using multi-group structural equation modeling. Freshwater food webs were obtained from three sources: the Mangal interaction database, using the rmangal package in R, the GlobAl databasE of traits and food Web Architecture (GATEWAY) version 1.0, and the Interaction Web Data Base (IWDB). We also included food webs acquired from a search in the Web of Science Core Collection. Land use data was compiled from the global ESA CCI database, an annually generated land cover product at 300 m resolution for the period 1992 – 2015. Climate data was compiled from the TerraClimate database, a monthly generated product for climate and climatic water balance for global terrestrial surfaces at ~ 4 km for the period 1958 – 2015.
description: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES) - Finance Code 001 through a PhD scholarship conceived to GPB. TS was supported by grant #309496/2021-7, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and grant 21/00619-7, São Paulo Research Foundation (FAPESP).
DOI: 10.5281/zenodo.7328306
title: Data and script: Lake and stream food webs respond differently to land use and climate change

description: Here, we provide the data and code necessary to reproduce the workflow and analysis in: Barbosa and Siqueira. Lake and stream food webs respond differently to land use and climate change. A preprint is available at https://doi.org/10.1101/2022.04.18.488700 We compiled multicontinental data to investigate how climate and land use change are related to the structure of freshwater food webs, considering the inherent differences in lentic and lotic ecosystems. We analyzed the direct and indirect relationships between land use intensity, and temperature and precipitation changes, and food webs using multi-group structural equation modeling. Freshwater food webs were obtained from three sources: the Mangal interaction database, using the rmangal package in R, the GlobAl databasE of traits and food Web Architecture (GATEWAY) version 1.0, and the Interaction Web Data Base (IWDB). We also included food webs acquired from a search in the Web of Science Core Collection. Land use data was compiled from the global ESA CCI database, an annually generated land cover product at 300 m resolution for the period 1992 – 2015. Climate data was compiled from the TerraClimate database, a monthly generated product for climate and climatic water balance for global terrestrial surfaces at ~ 4 km for the period 1958 – 2015.
description: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES) - Finance Code 001 through a PhD scholarship conceived to GPB. TS was supported by grant #309496/2021-7, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and grant 21/00619-7, São Paulo Research Foundation (FAPESP).
DOI: 10.5281/zenodo.7942733
title: Direct and indirect effects of climate and land use change on food webs in lakes and streams

description: Here, we provide the data and code necessary to reproduce the workflow and analysis in: Barbosa and Siqueira. Direct and indirect effects of climate and land use change on food webs in lakes and streams. A preprint is available at https://doi.org/10.1101/2022.04.18.488700 We compiled multicontinental data to investigate how climate and land use change are related to the structure of freshwater food webs, considering the inherent differences in lentic and lotic ecosystems. We analyzed the direct and indirect relationships between land use intensity, and temperature and precipitation changes, and food webs using multi-group structural equation modeling. Freshwater food webs were obtained from three sources: the Mangal interaction database, using the rmangal package in R, the GlobAl databasE of traits and food Web Architecture (GATEWAY) version 1.0, and the Interaction Web Data Base (IWDB). We also included food webs acquired from a search in the Web of Science Core Collection. Land use data was compiled from the global ESA CCI database, an annually generated land cover product at 300 m resolution for the period 1992 – 2015. Climate data was compiled from the TerraClimate database, a monthly generated product for climate and climatic water balance for global terrestrial surfaces at ~ 4 km for the period 1958 – 2015.
description: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES) - Finance Code 001 through a PhD scholarship conceived to GPB. TS was supported by grant #309496/2021-7, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and grant 21/00619-7, São Paulo Research Foundation (FAPESP).
DOI: 10.5281/zenodo.7942772
title: hyacinthus_orientalis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7942771
title: hyacinthus_orientalis_spades_01.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc2b52h3
title: CCDC 2149834: Experimental Crystal Structure Determination

description: Related Article: Prafullya Kumar Mudi, Rajani Kanta Mahato, Himanshu Verma, Subhra Jyoti Panda, Chandra Sekhar Purohit, Om Silakari, Bhaskar Biswas|2022|J.Mol.Struct.|1261|132869|doi:10.1016/j.molstruc.2022.132869
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.cc2cx9g2
title: CCDC 2201944: Experimental Crystal Structure Determination

description: Related Article: Nandkishor Khot|2022|CSD Communication|||
description: Related Article: Nandkishor Prakash Khot, Prajyot Jayadev Nagtilak, Nitish Kumar Deo, Manmohan Kapur|2023|Chem.Commun.|59|6076|doi:10.1039/D3CC00295K
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.cc2fdwvl
title: CCDC 2246720: Experimental Crystal Structure Determination

description: Related Article: Qian Xu, Thomas R. Hoye|2023|J.Am.Chem.Soc.|145|9867|doi:10.1021/jacs.3c02469
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: 10.6084/m9.figshare.22864019
title: Banking data - complexity

description: Banking data (RIBITS) - freshwater targets and bank specs.
DOI: 10.6084/m9.figshare.22864019.v1
title: Banking data - complexity

description: Banking data (RIBITS) - freshwater targets and bank specs.
DOI: 10.6084/m9.figshare.22817330
title: <strong>Morphometric variation and operative temperatures of</strong> <em><strong>Crotalus triseriatus</strong></em> <strong>in three Mexican sky islands and its relationship with local environmental variables</strong>

description: This repository has row data from a study evaluating the morphological variation of different populations of Mexican rattesnake to different environmental variables. <br> <br>
DOI: 10.6084/m9.figshare.22817330.v1
title: <strong>Morphometric variation and operative temperatures of</strong> <em><strong>Crotalus triseriatus</strong></em> <strong>in three Mexican sky islands and its relationship with local environmental variables</strong>

description: This repository has row data from a study evaluating the morphological variation of different populations of Mexican rattesnake to different environmental variables.
DOI: 10.5281/zenodo.7942843
title: aeolidia_papillosa_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7942842
title: aeolidia_papillosa_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.3761562.v2588
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.18739/a2513tx45
title: Simultaneous Ocean Water and Boundary Layer Water Vapor Isotopes in Western Arctic, 2016

description: Water isotopes (δ18O (delta-O-18) , δ2H (delta deuterium), deuterium-excess) are important tracers that help understand the changing Arctic water cycle and how Arctic sourced water can influence lower latitudes. We present simultaneous boundary layer water vapor and ocean water isotopes measured continuously from the western Arctic Ocean. Sea surface water isotopes vary between the shallower continental Chukchi Shelf and deeper Chukchi Borderlands waters. The Chukchi Borderlands surface waters are less saline than the Chukchi Shelf, as it is influenced by greater sea ice cover and contribution of sea ice melt to the surface freshwater component. This greater contribution of sea ice melt results in lower deuterium-excess (δ2H - 8*δ18O) surface water values in the deeper Chukchi Borderlands than on the shallower Chukchi Shelf. Additionally, the sea ice melt contributions to freshwater are less than river runoff, but freshwater from both sources decrease substantially below 70 meters depth in the Chukchi Borderlands. Our observed water isotope values provide the foundation for a remote sensing and machine learning based production of water isotope maps (isoscapes), which incorporate parameters that can influence ocean circulation and thus water isotopes (e.g., salinity, sea surface temperature, water depth). These isoscapes reveal unprecedented insight into the spatial complexity of Arctic water isotopes, including sharp gradients between sea water isotopes that are more representative of ocean dynamics. Additionally, the isoscapes reveal how the Anadyr Current and Alaska Coastal Current differentially influence water isotope characteristics in the Bering Sea and flow through the Bering Strait into the Arctic Ocean. These isoscapes can be improved in future iterations (e.g., with the availability of more spatially-continuous remotely sensed oceanic variables to use as additional predictors) and could become a useful tool for understanding the past, present, and future global water cycle as the Arctic experiences rapid changes that transport waters beyond the Arctic basin.
DOI: 10.5281/zenodo.7292953
title: Distribution and environmental drivers of fungal denitrifiers in global soils

description: Meta- and source data as well as newick phylogeny associated to the article 'Distribution and Environmental Drivers of Fungal Denitrifiers in Global Soils '.
DOI: 10.5281/zenodo.7292952
title: Distribution and environmental drivers of fungal denitrifiers in global soils

description: Meta- and source data as well as newick phylogeny associated to the article 'Distribution and Environmental Drivers of Fungal Denitrifiers in Global Soils '.
DOI: 10.5517/ccdc.csd.cc2c7ljr
title: CCDC 2182044: Experimental Crystal Structure Determination

description: Related Article: Memsy Chiriamkandath Kuriakose, Jisha Joseph, Glinta Mandumpal Joyson, Jency Thomas|2022|J.Chem.Cryst.|52|236|doi:10.1007/s10870-022-00964-y
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.cc2d8t9t
title: CCDC 2213006: Experimental Crystal Structure Determination

description: Related Article: Rahul Dev Mandal, Moumita Saha, Dwaipayan Das, Asish R. Das|2023|J.Org.Chem.|88|6071|doi:10.1021/acs.joc.3c00418
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.cc2d8tcw
title: CCDC 2213008: Experimental Crystal Structure Determination

description: Related Article: Rahul Dev Mandal, Moumita Saha, Dwaipayan Das, Asish R. Das|2023|J.Org.Chem.|88|6071|doi:10.1021/acs.joc.3c00418
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.cc2dlb6k
title: CCDC 2222148: Experimental Crystal Structure Determination

description: Related Article: Junfang Xie, Jing Han, Xiaohui Huang, Chaoyi Jin, Licun Li, Jean‐Pascal Sutter|2023|Chem.-Eur.J.|29|e202203852|doi:10.1002/chem.202203852
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.cc2dlb7l
title: CCDC 2222149: Experimental Crystal Structure Determination

description: Related Article: Junfang Xie, Jing Han, Xiaohui Huang, Chaoyi Jin, Licun Li, Jean‐Pascal Sutter|2023|Chem.-Eur.J.|29|e202203852|doi:10.1002/chem.202203852
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.cc2dlb8m
title: CCDC 2222150: Experimental Crystal Structure Determination

description: Related Article: Junfang Xie, Jing Han, Xiaohui Huang, Chaoyi Jin, Licun Li, Jean‐Pascal Sutter|2023|Chem.-Eur.J.|29|e202203852|doi:10.1002/chem.202203852
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.cc2dlb9n
title: CCDC 2222151: Experimental Crystal Structure Determination

description: Related Article: Junfang Xie, Jing Han, Xiaohui Huang, Chaoyi Jin, Licun Li, Jean‐Pascal Sutter|2023|Chem.-Eur.J.|29|e202203852|doi:10.1002/chem.202203852
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.cc2dlbbp
title: CCDC 2222152: Experimental Crystal Structure Determination

description: Related Article: Junfang Xie, Jing Han, Xiaohui Huang, Chaoyi Jin, Licun Li, Jean‐Pascal Sutter|2023|Chem.-Eur.J.|29|e202203852|doi:10.1002/chem.202203852
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.