cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d547z
title: CCDC 2209470: Experimental Crystal Structure Determination

description: Related Article: Ran Xu, Meng-Meng Lun, Tie Zhang, Jie Li, Ke Zou, Yi Zhang, Da-Wei Fu, Qiang Guo|2023|New J.Chem.|47|2405|doi:10.1039/D2NJ04939B
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.cc2d9m2f
title: CCDC 2213774: Experimental Crystal Structure Determination

description: Related Article: Roxana A. Butuza, Darius Dumitraş, Cosmina Bohan, Alexandra Pop|2023|New J.Chem.|47|2202|doi:10.1039/D2NJ05472H
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.cc2d9m3g
title: CCDC 2213775: Experimental Crystal Structure Determination

description: Related Article: Roxana A. Butuza, Darius Dumitraş, Cosmina Bohan, Alexandra Pop|2023|New J.Chem.|47|2202|doi:10.1039/D2NJ05472H
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.cc2d9m4h
title: CCDC 2213776: Experimental Crystal Structure Determination

description: Related Article: Roxana A. Butuza, Darius Dumitraş, Cosmina Bohan, Alexandra Pop|2023|New J.Chem.|47|2202|doi:10.1039/D2NJ05472H
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.cc2d0wgs
title: CCDC 2205385: Experimental Crystal Structure Determination

description: Related Article: Vitalii Yu. Kotov, Ivan S. Lunkov, Petr A. Buikin, Sergey Yu. Kottsov, Alexander A. Korlyukov, Alexander Yu. Rudenko|2023|New J.Chem.|47|2666|doi:10.1039/D2NJ05184B
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.cc2d0wht
title: CCDC 2205386: Experimental Crystal Structure Determination

description: Related Article: Vitalii Yu. Kotov, Ivan S. Lunkov, Petr A. Buikin, Sergey Yu. Kottsov, Alexander A. Korlyukov, Alexander Yu. Rudenko|2023|New J.Chem.|47|2666|doi:10.1039/D2NJ05184B
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.cc2d0wjv
title: CCDC 2205387: Experimental Crystal Structure Determination

description: Related Article: Vitalii Yu. Kotov, Ivan S. Lunkov, Petr A. Buikin, Sergey Yu. Kottsov, Alexander A. Korlyukov, Alexander Yu. Rudenko|2023|New J.Chem.|47|2666|doi:10.1039/D2NJ05184B
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.cc2byhwp
title: CCDC 2173313: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Liu, Qi-Ming Guo, Bin Liu, Teng-Hui Jin, Zi-Hao Zhang, Shijing Lin, Yin-Shan Meng|2023|New J.Chem.|47|2324|doi:10.1039/D2NJ04495A
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.cc2d0wkw
title: CCDC 2205388: Experimental Crystal Structure Determination

description: Related Article: Vitalii Yu. Kotov, Ivan S. Lunkov, Petr A. Buikin, Sergey Yu. Kottsov, Alexander A. Korlyukov, Alexander Yu. Rudenko|2023|New J.Chem.|47|2666|doi:10.1039/D2NJ05184B
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.cc2db20v
title: CCDC 2214206: Experimental Crystal Structure Determination

description: Related Article: Aprajita, Mukesh Choudhary|2023|Polyhedron|232|116296|doi:10.1016/j.poly.2023.116296
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/p9efzwpp
title: Uncultivated plant water use (riparian evapotranspiration) and consumptive use data for selected areas of the Little Colorado River watershed on the Navajo Nation, Arizona

description: These data were compiled to provide Fred Phillips Consultants with an estimate of river and stream vegetation (riparian) water use within the Little Colorado River (LCR) Watershed in Arizona, specifically providing an estimate of riparian plant area ET (mm/day and in mm/year) for actual remotely-sensed estimates of ETa and CU for at least one year of data (i.e., 2020). Objectives of our study were to measure five water metrics for the Little Colorado River watershed region on the Navajo Nation. These water metrics represent data including precipitation (P), potential evapotranspiration (ETo), actual evapotranspiration (ETa), net water requirement (WR) or the water difference (WD) between ETa and rainfall, and consumptive water use for a given riparian acreage (CU). These data were processed as 30m Landsat, using hdf format, and then .tif files were created for the location (study area) of riparian vegetation along the rivers and streams selected within the Little Colorado River watershed and dates from January 2014 through December 2020. These data were collected using digitized polygons for riparian shrubs and trees in ArcGIS by Fred Phillips Consultants and the water metric data was created in the University of Arizona, Vegetation Index and Phenology lab, using Landsat OLI imagery and Daymet weather data between 2014-2020. These data are useful to land and water managers across all levels of government, but these accurate and current estimates of riparian plant evapotranspiration and consumptive water use along the Little Colorado River tributaries and streams are especially valuable to the Navajo Nation, particularly for the adjudication of water rights.
DOI: 10.5281/zenodo.7587620
title: An Agnostic Benchmark for Optical Remote Sensing Image Super-Resolution

description: In remote sensing, image super-resolution (ISR) is a technique used to create high-resolution (HR) images from low-resolution (R) satellite images, giving a more detailed view of the Earth’s surface. However, with the constant development and introduction of new ISR algorithms, it can be challenging to stay updated on the latest advancements and evaluate their performance objectively. To address this issue, we introduce SRcheck, a Python package that provides an easy-to-use interface for comparing and benchmarking various ISR methods. SRcheck includes a range of datasets that consist of high-resolution and low-resolution image pairs, as well as a set of quantitative metrics for evaluating the performance of SISR algorithms.
description: Version 0.0.4 - Perceptual metrics has been added. Version 0.0.3 - NAIP HR masked pixel has been changed.
DOI: 10.34740/kaggle/dsv/4922555
title: OntoUML/UFO Catalog
DOI: 10.5281/zenodo.7587640
title: DATA_Ishibashi(2023)

description: Data of Ishibashi (2023) for Open Research.
DOI: 10.5517/ccdc.csd.cc2ckbgr
title: CCDC 2191404: Experimental Crystal Structure Determination

description: Related Article: Akiko Asano, Katsuhiko Minoura, Takeshi Yamada, Mitsunobu Doi|2023|RSC Advances|13|2458|doi:10.1039/D2RA07063D
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.21980495
title: Navigating materials chemical space to discover new battery electrode using machine learning

description: Datasets of materials used in the research.
DOI: 10.34740/kaggle/dsv/4922766
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.5281/zenodo.7587672
title: microsynteny

description: microsynteny
DOI: 10.5281/zenodo.7587671
title: microsynteny

description: microsynteny
DOI: 10.34740/kaggle/dsv/4922770
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.5281/zenodo.7584729
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2005

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2005. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2004</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2006</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2005 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7584728
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2005

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2005. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2004</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2006</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2005 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.34944/dspace/8319
title: Gender-based Violence on Survivor Bodily Perceptions and Connections Meta-Synthesis Search Strategy

description: To identify studies to include or consider for this scoping review, the review team worked with a medical librarian (TN) to develop detailed search strategies for each database. The PRISMA-S extension was followed for search reporting. The medical librarian (TN) developed the search for PubMed (NLM) and translated the search for every database searched. The PubMed (NLM) search strategy was reviewed by the research team to check for accuracy and term relevancy, and all final searches were peer-reviewed by another medical librarian following the PRESS checklist. The databases included in this search are PubMed (NLM), CINAHL (EbscoHost), Academic Search Complete (EbscoHost), Applied Social Sciences Index & Abstracts – ASSIA (ProQuest), and Web of Science (Clarivate Analytics) using a combination of keywords and subject headings. A grey literature search included TRIP Pro medical database (tripdatabase.com) website, OAIster (https://www.oclc.org/en/oaister.html), clinical trials registry (clinicaltrials.gov), and WHO ICTRP (https://trialsearch.who.int/). A qualitative research hedge was used to limit to qualitative studies along with human only studies. All final searches were performed on December 21, 2022 by the librarian and were fully reported (TN). The full search strategies as reported by the librarian are provided in Appendix (___). The PubMed search used a Qualitative Studies filter, modified from Schoonade LJ.
description: To identify studies to include or consider for this scoping review, the review team worked with a medical librarian (TN) to develop detailed search strategies for each database. The PRISMA-S extension was followed for search reporting. The medical librarian (TN) developed the search for PubMed (NLM) and translated the search for every database searched. The PubMed (NLM) search strategy was reviewed by the research team to check for accuracy and term relevancy, and all final searches were peer-reviewed by another medical librarian following the PRESS checklist. The databases included in this search are PubMed (NLM), CINAHL (EbscoHost), Academic Search Complete (EbscoHost), Applied Social Sciences Index & Abstracts – ASSIA (ProQuest), and Web of Science (Clarivate Analytics) using a combination of keywords and subject headings. A grey literature search included TRIP Pro medical database (tripdatabase.com) website, OAIster (https://www.oclc.org/en/oaister.html), clinical trials registry (clinicaltrials.gov), and WHO ICTRP (https://trialsearch.who.int/). A qualitative research hedge was used to limit to qualitative studies along with human only studies. All final searches were performed on December 21, 2022 by the librarian and were fully reported (TN).
DOI: 10.6084/m9.figshare.21980549
title: demo_test.h5ad

description: This is the query data for prediction.
DOI: 10.6084/m9.figshare.21980552
title: demo_train.h5ad

description: This this the reference dataset for training.
DOI: 10.6084/m9.figshare.21980552.v1
title: demo_train.h5ad

description: This this the reference dataset for training.
DOI: 10.26060/aerx-hd71
title: Smap New Zealand Soil Classification (Soil Order) - February 2018 (deprecated)
DOI: 10.5281/zenodo.7587691
title: Perturbation exercise in elderly CLBP participants: Water and land exercise outcomes

description: The blinded data of clinical outcomes of perturbation exercises in elderly CL P participants before and after of 6 weeks.
DOI: 10.5281/zenodo.7587690
title: Perturbation exercise in elderly CLBP participants: Water and land exercise outcomes

description: The blinded data of clinical outcomes of perturbation exercises in elderly CL P participants before and after of 6 weeks.
DOI: 10.26060/d4z4-1h13
title: Smap Soil Drainage Aug 2019 (deprecated)
DOI: 10.26060/ds2n-aj74
title: Smap Soil Drainage August 2018 (deprecated)
DOI: 10.26060/wvv0-2y83
title: Smap Soil Classification (Soil Order) Aug 2019 (deprecated)
DOI: 10.26060/t7wd-jf89
title: Smap Soil Classification (Soil Order) August 2018 (deprecated)
DOI: 10.26060/cp53-th18
title: Smap Soil Depth Aug 2019 (deprecated)
DOI: 10.26060/cepe-aq40
title: Smap Soil Depth August 2018 (deprecated)
DOI: 10.26060/kwcx-jr66
title: Smap Soil Depth February 2018 (deprecated)
DOI: 10.26060/2z1w-gn67
title: Smap Soil Drainage February 2018 (deprecated)
DOI: 10.26060/a55f-sm07
title: Smap Soil Texture Aug 2019 (deprecated)
DOI: 10.26060/qh7q-rd59
title: Smap Soil Texture August 2018 (deprecated)
DOI: 10.26060/je49-rr22
title: Smap Soil Texture February 2018 (deprecated)
DOI: 10.5281/zenodo.6960371
title: Test data for hdl_graph_slam

description: Test data for hdl_graph_slam
DOI: 10.5281/zenodo.6960370
title: Test data for hdl_graph_slam

description: Test data for hdl_graph_slam
DOI: 10.26060/kvtt-0a89
title: Smap Soil Depth Aug 2020 (deprecated)
DOI: 10.26060/22xb-cf19
title: Smap Soil Drainage Aug 2020 (deprecated)
DOI: 10.26060/5708-rc52
title: Smap Soil Classification (Soil Order) Aug 2020 (deprecated)
DOI: 10.26060/q8ry-g036
title: Smap Soil Texture Aug 2020 (deprecated)
DOI: 10.26060/qq4z-wh37
title: Smap Soil Depth Aug 2021 (deprecated)
DOI: 10.26060/w6xn-2749
title: Smap Soil Classification (Soil Order) Aug 2021 (deprecated)
DOI: 10.26060/jaf4-c879
title: Smap Soil Texture Aug 2021 (deprecated)
DOI: 10.26060/9nj9-ng37
title: Smap Soil Drainage Aug 2021 (deprecated)
DOI: 10.5517/ccdc.csd.cc2c2ys6
title: CCDC 2177588: Experimental Crystal Structure Determination

description: Related Article: Rui-Rui Han, Li-Ting Li, Zhao-Quan Yao, Jiong-Peng Zhao, Fu-Chen Liu|2022|Inorg.Chem.|61|18267|doi:10.1021/acs.inorgchem.2c03092
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.cc2d0tdn
title: CCDC 2205321: Experimental Crystal Structure Determination

description: Related Article: S. Athira, Dibya Jyoti Mondal, Shraoshee Shome, Bijoy Dey, Sanjit Konar|2022|Dalton Trans.|51|16706|doi:10.1039/D2DT02115C
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: 10.26060/tk99-b794
title: Smap Soil Classification (Soil Order) Aug 2022 (deprecated)
DOI: 10.6084/m9.figshare.21454413.v1
title: MUG: a Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields

description: The data used in this benchmark is collected from the Internet, and can only be used for research purposes. <br> License: <strong>CC BY-NC 4.0</strong>
DOI: 10.6084/m9.figshare.21980408
title: comp1_TEST_vs._CON_KEGG_enrichment_result.csv

description: DNA methylation chip results showed that two TG-related metabolic pathways, glycerolipid metabolism and glycerophospholipid metabolism, were associated with the immune effect of the hepatitis B vaccine.
DOI: 10.6084/m9.figshare.21980408.v1
title: comp1_TEST_vs._CON_KEGG_enrichment_result.csv

description: DNA methylation chip results showed that two TG-related metabolic pathways, glycerolipid metabolism and glycerophospholipid metabolism, were associated with the immune effect of the hepatitis B vaccine.