cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28my84
title: CCDC 2104536: Experimental Crystal Structure Determination

description: Related Article: Sai Ma, Lingling Gao, Yujuan Zhang, Tuoping Hu|2023|Cryst.Growth Des.|23|2455|doi:10.1021/acs.cgd.2c01410
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.cc2c9h7f
title: CCDC 2183864: Experimental Crystal Structure Determination

description: Related Article: Bilal O. Alkubaisi, Anil Ravi, Gourishetty Srikanth, Anusha Sebastian, Monther A. Khanfar, Mohammed I. El-Gamal, Scott McN. Sieburth, Afnan I. Shahin, Taleb H. Al-Tel|2023|J.Org.Chem.|88|4244|doi:10.1021/acs.joc.2c02791
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.cc2c9hfm
title: CCDC 2183870: Experimental Crystal Structure Determination

description: Related Article: Bilal O. Alkubaisi, Anil Ravi, Gourishetty Srikanth, Anusha Sebastian, Monther A. Khanfar, Mohammed I. El-Gamal, Scott McN. Sieburth, Afnan I. Shahin, Taleb H. Al-Tel|2023|J.Org.Chem.|88|4244|doi:10.1021/acs.joc.2c02791
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.cc2cjlcw
title: CCDC 2190688: Experimental Crystal Structure Determination

description: Related Article: Shan Huang, Vinay K. R. Cheemarla, Davide Tiana, Simon E. Lawrence|2023|Cryst.Growth Des.|23|2306|doi:10.1021/acs.cgd.2c01337
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.cc2cjldx
title: CCDC 2190689: Experimental Crystal Structure Determination

description: Related Article: Shan Huang, Vinay K. R. Cheemarla, Davide Tiana, Simon E. Lawrence|2023|Cryst.Growth Des.|23|2306|doi:10.1021/acs.cgd.2c01337
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.cc2cjlfy
title: CCDC 2190690: Experimental Crystal Structure Determination

description: Related Article: Shan Huang, Vinay K. R. Cheemarla, Davide Tiana, Simon E. Lawrence|2023|Cryst.Growth Des.|23|2306|doi:10.1021/acs.cgd.2c01337
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.cc2cjlgz
title: CCDC 2190691: Experimental Crystal Structure Determination

description: Related Article: Shan Huang, Vinay K. R. Cheemarla, Davide Tiana, Simon E. Lawrence|2023|Cryst.Growth Des.|23|2306|doi:10.1021/acs.cgd.2c01337
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.cc2cjlh0
title: CCDC 2190692: Experimental Crystal Structure Determination

description: Related Article: Shan Huang, Vinay K. R. Cheemarla, Davide Tiana, Simon E. Lawrence|2023|Cryst.Growth Des.|23|2306|doi:10.1021/acs.cgd.2c01337
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.cc2d7cxy
title: CCDC 2211630: Experimental Crystal Structure Determination

description: Related Article: Tianhua Wang, Jinkang Ma, Kai Xu, Rui Chen, Xueting Mu, Lifeng Cao, Bing Teng|2023|Cryst.Growth Des.|23|2583|doi:10.1021/acs.cgd.2c01451
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.cc2d7cz0
title: CCDC 2211632: Experimental Crystal Structure Determination

description: Related Article: Tianhua Wang, Jinkang Ma, Kai Xu, Rui Chen, Xueting Mu, Lifeng Cao, Bing Teng|2023|Cryst.Growth Des.|23|2583|doi:10.1021/acs.cgd.2c01451
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.cc2d7d02
title: CCDC 2211633: Experimental Crystal Structure Determination

description: Related Article: Tianhua Wang, Jinkang Ma, Kai Xu, Rui Chen, Xueting Mu, Lifeng Cao, Bing Teng|2023|Cryst.Growth Des.|23|2583|doi:10.1021/acs.cgd.2c01451
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.cc2d7d13
title: CCDC 2211634: Experimental Crystal Structure Determination

description: Related Article: Tianhua Wang, Jinkang Ma, Kai Xu, Rui Chen, Xueting Mu, Lifeng Cao, Bing Teng|2023|Cryst.Growth Des.|23|2583|doi:10.1021/acs.cgd.2c01451
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: 10.34740/kaggle/dsv/5422780
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.22639927
title: 数据处理包.zip

description: 包括研究中一系列数据处理文件
DOI: 10.6084/m9.figshare.22639927.v1
title: 数据处理包.zip

description: 包括研究中一系列数据处理文件
DOI: 10.34740/kaggle/dsv/5421662
title: Ballon D'or-Golden Ball Winners
DOI: 10.6084/m9.figshare.22639930
title: 分情感内容.zip

description: 分情感数据内容
DOI: 10.6084/m9.figshare.22639930.v1
title: 分情感内容.zip

description: 分情感数据内容
DOI: 10.34740/kaggle/dsv/5422877
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/5422887
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.6084/m9.figshare.22639933
title: 原始数据包.zip

description: 原始数据包
DOI: 10.6084/m9.figshare.22639933.v1
title: 原始数据包.zip

description: 原始数据包
DOI: 10.6084/m9.figshare.22639894.v1
title: Untitled Item

description: This is a test of figshare
DOI: 10.6084/m9.figshare.22639894
title: Test case 2

description: This is a test of figshare
DOI: 10.6084/m9.figshare.22639894.v3
title: Test case 2

description: This is a test of figshare
DOI: 10.6084/m9.figshare.22639894.v2
title: Test case

description: This is a test of figshare
DOI: 10.5281/zenodo.6483451
title: PAML data set for integrins, tetraspanins, and ADAMs in the coral Acropora

description: Data set for gamete composing integrins, tetraspanins, and ADAMs in the coral <em>Acropora digitifera</em>. The LC-MS/MS analyses of eggs or sperm of the coral <em>Acropora digitifera</em> were conducted. Identified integrins, tetraspanins, and ADAMs which are reported in their involvement in the fertilization of the coral <em>Acropora</em>. The data sets were used for analyses of molecular evolutionary analyses with codeml to select which genes encoding the proteins showed accelerated evolution during acquisition of species-specific fertilization. cDNA sequences of the identified proteins were used for collecting the orthologues of the <em>Acropora</em> spp using Orthoscope.
DOI: 10.5281/zenodo.6483450
title: PAML data set for integrins, tetraspanins, and ADAMs in the coral Acropora

description: Data set for gamete composing integrins, tetraspanins, and ADAMs in the coral <em>Acropora digitifera</em>. The LC-MS/MS analyses of eggs or sperm of the coral <em>Acropora digitifera</em> were conducted. Identified integrins, tetraspanins, and ADAMs which are reported in their involvement in the fertilization of the coral <em>Acropora</em>. The data sets were used for analyses of molecular evolutionary analyses with codeml to select which genes encoding the proteins showed accelerated evolution during acquisition of species-specific fertilization. cDNA sequences of the identified proteins were used for collecting the orthologues of the <em>Acropora</em> spp using Orthoscope.
DOI: 10.6084/m9.figshare.22639936
title: Optical data for MOSR

description: This dataset contains: - Original images: the nissl-staining images of mouse brains downloaded from Allen Brain Atlas database - Cropped images: the sub-images cropped by the Python script, which can be used to train deep learning models
DOI: 10.6084/m9.figshare.21641726
title: In silico secretome analyses of the polyphagous root-knot nematode Meloiodogyne javanica: A resource for studying M. javanica secreted proteins

description: This manuscript entitled "The secretome of the polyphagous root-knot nematode <em>Meloidogyne javanica</em>: <em>in silico</em> prediction and functional analysis" catalogs the secreted proteins found in root-knot nematode species that are important for parasitism. This study employed a variety of integrated bioinformatic methods to predict and functionally annotate <em>Meloidogyne javanica's </em>secretome. <br>
DOI: 10.6084/m9.figshare.21641726.v1
title: The secretome of the polyphagous root-knot nematode Meloidogyne javanica: in silico prediction and functional analysis

description: This manuscript entitled "The secretome of the polyphagous root-knot nematode <em>Meloidogyne javanica</em>: <em>in silico</em> prediction and functional analysis" catalogs the secreted proteins found in root-knot nematode species that are important for parasitism. This study employed a variety of integrated bioinformatic methods to predict and functionally annotate <em>Meloidogyne javanica's </em>secretome. <br>
DOI: 10.34740/kaggle/dsv/5423453
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.7833501
title: ECC

description: ECC code
DOI: 10.5281/zenodo.7833500
title: ECC

description: ECC code
DOI: 10.34740/kaggle/dsv/5423550
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.22640002
title: Phonics Test Scores

description: This is my data for test scores
DOI: 10.6084/m9.figshare.22640002.v1
title: Phonics Test Scores

description: This is my data for test scores
DOI: 10.5281/zenodo.7833526
title: desmognathus_fuscus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7833525
title: desmognathus_fuscus_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7833530
title: desmognathus_abditus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7833529
title: desmognathus_abditus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22639939
title: DATA (1).xlsx

description: This data is strictly for Income diversification, capital adequacy, liquidity creation, GMM research paper
DOI: 10.18112/openneuro.ds004265.v1.1.2
title: Neuromodulation of pain circuits using MR guided focused ultrasound (MRgFUS) and simultaneous acquisition of functional MRI data
DOI: 10.34740/kaggle/dsv/5423723
title: Human Development Index 2021 (HDI)
DOI: 10.34740/kaggle/dsv/5423873
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7236144
title: Synthetic velocity profiles for simulations of blood flow in the aorta

description: Synthetic dataset of aortic velocity profiles, suitable to be used for numerical simulations of blood flow.
description: {"references": ["10.5281/zenodo.7236015"]}
DOI: 10.5281/zenodo.7236196
title: Synthetic velocity profiles for simulations of blood flow in the aorta

description: Synthetic dataset of aortic velocity profiles, suitable to be used for numerical simulations of blood flow.
description: {"references": ["10.5281/zenodo.7236015"]}
DOI: 10.5281/zenodo.7251987
title: Synthetic velocity profiles for simulations of blood flow in the aorta

description: Synthetic dataset of aortic velocity profiles, suitable to be used for numerical simulations of blood flow. Please refer to the profile number ID when using it.
description: {"references": ["10.5281/zenodo.7236015"]}
DOI: 10.5281/zenodo.7711791
title: Synthetic velocity profiles for simulations of blood flow in the aorta

description: Synthetic dataset of aortic velocity profiles, suitable to be used for numerical simulations of blood flow. Please refer to the profile number ID when using it.
description: {"references": ["10.5281/zenodo.7236015"]}
DOI: 10.5281/zenodo.7236143
title: Synthetic velocity profiles for simulations of blood flow in the aorta

description: Synthetic dataset of aortic velocity profiles, suitable to be used for numerical simulations of blood flow. Please refer to the profile number ID when using it.
description: {"references": ["10.5281/zenodo.7236015"]}
DOI: 10.5281/zenodo.7833575
title: Synthetic velocity profiles for simulations of blood flow in the aorta

description: Synthetic dataset of aortic velocity profiles, suitable to be used for numerical simulations of blood flow. Please refer to the profile number ID when using it.
description: {"references": ["10.5281/zenodo.7236015"]}
DOI: 10.5281/zenodo.7833587
title: Soil data sheet for final qualifying work

description: Just deposit some science data until it will be published with an indication of my authorship. The dates of the analyses are indicated in the file
DOI: 10.5281/zenodo.7833586
title: Soil data sheet for final qualifying work

description: Just deposit some science data until it will be published with an indication of my authorship. The dates of the analyses are indicated in the file
DOI: 10.5281/zenodo.7830319
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 500m SIN Grid in 2016

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 FVC product at 500m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2018 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2016. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2015</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2017</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2016 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7830318
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 500m SIN Grid in 2016

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 FVC product at 500m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2018 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2016. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2015</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2017</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2016 Spatial Resolution: 500m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.57745/sasbo1
title: Hypothèses AMS SNBC3 INRAE Avril 2023.pdf

description: Métadonnées et données des hypothèses SNBC3, run 2
DOI: 10.5281/zenodo.7833609
title: desmognathus_conanti_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7833608
title: desmognathus_conanti_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7669702
title: Data sets for "Extended MS²PIP web server enables new proteomics applications"

description: Data sets used to train and evaluate new MS²PIP models.
DOI: 10.5281/zenodo.7833650
title: desmognathus_imitator_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7833649
title: desmognathus_imitator_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22640110
title: mHVSR curves of Beijing Tongzhou

description: mHVSR curves of 914 stations in Tongzhou, Beijing. <br>
DOI: 10.6084/m9.figshare.22640110.v1
title: mHVSR curves of Beijing Tongzhou

description: mHVSR curves of 914 stations in Tongzhou, Beijing. <br>
DOI: 10.6084/m9.figshare.22640053
title: Tuning social interactions’ strength drives collective response to light intensity in schooling fish

description: Schooling fish heavily rely on visual cues to interact with neighbors and avoid obstacles. The availability of sensory information is influenced by environmental conditions and changes in the physical environment that can alter the sensory environment of the fish, which in turn affects individual and group movements. In this study, we combine experiments and data-driven modeling to investigate the impact of varying levels of light intensity on social interactions and collective behavior in rummy-nose tetra fish. The trajectories of single fish and groups of fish swimming in a tank under different lighting conditions were analyzed to quantify their movements and spatial distribution. Interaction functions between two individuals and the fish interaction with the tank wall were reconstructed and modeled for each light condition. Our results demonstrate that light intensity strongly modulates social interactions between fish and their reactions to obstacles, which then impact collective motion patterns that emerge at the group level.
DOI: 10.6084/m9.figshare.22640053.v1
title: Tuning social interactions’ strength drives collective response to light intensity in schooling fish

description: Schooling fish heavily rely on visual cues to interact with neighbors and avoid obstacles. The availability of sensory information is influenced by environmental conditions and changes in the physical environment that can alter the sensory environment of the fish, which in turn affects individual and group movements. In this study, we combine experiments and data-driven modeling to investigate the impact of varying levels of light intensity on social interactions and collective behavior in rummy-nose tetra fish. The trajectories of single fish and groups of fish swimming in a tank under different lighting conditions were analyzed to quantify their movements and spatial distribution. Interaction functions between two individuals and the fish interaction with the tank wall were reconstructed and modeled for each light condition. Our results demonstrate that light intensity strongly modulates social interactions between fish and their reactions to obstacles, which then impact collective motion patterns that emerge at the group level.
DOI: 10.5281/zenodo.7788734
title: ERGA Post Assembly training dataset

description: This Zenodo repository includes the required datasets for following the ERGA post-assembly quality control training. Protein accession file. Hi-C fastq file parts for erythrolamprus reginae. assembly fasta erythrolamprus reginae
DOI: 10.5281/zenodo.7788733
title: ERGA Post Assembly training dataset

description: This Zenodo repository includes the required datasets for following the ERGA post-assembly quality control training. Protein accession file. Hi-C fastq file parts for erythrolamprus reginae. assembly fasta erythrolamprus reginae