cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bsswt
title: CCDC 2168787: Experimental Crystal Structure Determination

description: Related Article: Subham Ranjan, Hisashi Honda, Satoshi Takamizawa|2022|J.Mater.Chem.C|10|12765|doi:10.1039/D2TC02554J
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.cc2bssxv
title: CCDC 2168788: Experimental Crystal Structure Determination

description: Related Article: Subham Ranjan, Hisashi Honda, Satoshi Takamizawa|2022|J.Mater.Chem.C|10|12765|doi:10.1039/D2TC02554J
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.cc2bt52f
title: CCDC 2169134: Experimental Crystal Structure Determination

description: Related Article: Ke Wang, Qian Zhan, Bo Han, Sergio Moles Quintero, Wanjing Huang, Yu Ji, Fang Miao, Hanjiao Chen, Juan Casado, Yonghao Zheng|2022|J.Mater.Chem.C|10|12724|doi:10.1039/D2TC02433K
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.cc2bxc4s
title: CCDC 2172205: Experimental Crystal Structure Determination

description: Related Article: Wang Na|2022|CSD Communication|||
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.cc2bxgtk
title: CCDC 2172319: Experimental Crystal Structure Determination

description: Related Article: Chuanzhi Liu|2022|CSD Communication|||
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.cc2bxgxn
title: CCDC 2172322: Experimental Crystal Structure Determination

description: Related Article: Chuanzhi Liu|2022|CSD Communication|||
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.cc2bxj1v
title: CCDC 2172357: Experimental Crystal Structure Determination

description: Related Article: leung leungqm|2022|CSD Communication|||
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.cc2bxn31
title: CCDC 2172483: Experimental Crystal Structure Determination

description: Related Article: Patrycja Wytrych, Józef Utko, Tadeusz Lis|2022|CSD Communication|||
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.cc2bxyrz
title: CCDC 2172782: Experimental Crystal Structure Determination

description: Related Article: Fu-Xue wangfuxue|2022|CSD Communication|||
description: Related Article: Fu-Xue Wang, Zi-Chen Zhang, Xiao-Hong Yi, Chong-Chen Wang, Peng Wang, Chao-Yang Wang, Baoyi Yu|2022|CrystEngComm|24|5557|doi:10.1039/D2CE00791F
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.cc2c6qv5
title: CSD 2181217: Experimental Crystal Structure Determination

description: Related Article: Ya-Xiang Han, Chun-Li Hu, Zhi Fang, Qian-Qian Chen, Bing-Xuan Li, Yuan Lin, Jiang-Gao Mao|2022|J.Mater.Chem.C|10|12556|doi:10.1039/D2TC02699F
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cjrm9
title: CCDC 2190851: Experimental Crystal Structure Determination

description: Related Article: Mohamed Saber Lassoued, Tengbo Wang, Ahmad Faizan, Qian-Wen Li, Wei-Peng Chen, Yan-Zhen Zheng|2022|J.Mater.Chem.C|10|12574|doi:10.1039/D2TC03031D
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.21126019
title: CollembolaAI's Community Dataset

description: CollembolaAI's Community Dataset Pictures of a mock community of 12 species of soil arthropods This Dataset contains images which were used to train CollembolAI. There are 7 background, 8 training and 7 testing canvases contaiing a multitude of specimen.
DOI: 10.7931/xxm8-1e75
title: Data associated with Invasive urban mammalian predators: distribution and multi-scale habitat selection
DOI: 10.5281/zenodo.7083322
title: Characterization and Assessment of KCNU1/SLO3 as a Potential Non-hormonal Contraceptive Target

description: The Structural Genomics Consortium (SGC) has recently embarked on its first research project in reproductive biology as a part of the SGC’s new open science Women’s and Children’s Health Program (WCHP). This program, which was generously funded by the Bill & Melinda Gates Foundation will focus on drug discovery for childhood diseases and development as well as reproductive biology and disease. One of the first initiatives of WCHP is to identify and characterize protein targets for non-hormonal contraceptive agents. Although most contraceptive strategies have focused on the female reproductive system, there is great interest in developing contraceptives for the male reproductive system. Ion channels in sperm are of interest as viable targets for non-hormonal contraceptives for several reasons. First, they are promising drug targets due to their involvement in various pathophysiologies as well as their roles in sperm capacitation and the acrosomal reaction. Second, they contain druggable sites at cell surfaces, and third, proteins that respond to ion signaling are essential to sperm cells which must adapt to changing environments and respond to cues from the female reproductive tract. It is worth noting that approximately 15% of current drug targets are ion channels. One potential target is potassium/calcium-activated channel subfamily U member I (KCNU1), sometimes referred to as SLO3, a potassium channel that is expressed solely in mammalian sperm. In this work, we will describe our efforts to characterize KCNU1 as a potential protein target for non-hormonal contraceptives.
DOI: 10.5281/zenodo.7083321
title: Characterization and Assessment of KCNU1/SLO3 as a Potential Non-hormonal Contraceptive Target

description: The Structural Genomics Consortium (SGC) has recently embarked on its first research project in reproductive biology as a part of the SGC’s new open science Women’s and Children’s Health Program (WCHP). This program, which was generously funded by the Bill & Melinda Gates Foundation will focus on drug discovery for childhood diseases and development as well as reproductive biology and disease. One of the first initiatives of WCHP is to identify and characterize protein targets for non-hormonal contraceptive agents. Although most contraceptive strategies have focused on the female reproductive system, there is great interest in developing contraceptives for the male reproductive system. Ion channels in sperm are of interest as viable targets for non-hormonal contraceptives for several reasons. First, they are promising drug targets due to their involvement in various pathophysiologies as well as their roles in sperm capacitation and the acrosomal reaction. Second, they contain druggable sites at cell surfaces, and third, proteins that respond to ion signaling are essential to sperm cells which must adapt to changing environments and respond to cues from the female reproductive tract. It is worth noting that approximately 15% of current drug targets are ion channels. One potential target is potassium/calcium-activated channel subfamily U member I (KCNU1), sometimes referred to as SLO3, a potassium channel that is expressed solely in mammalian sperm. In this work, we will describe our efforts to characterize KCNU1 as a potential protein target for non-hormonal contraceptives.
DOI: 10.5067/gpm/dpr/slh/3a/05
title: GPM DPR Gridded Orbital Spectral Latent Heating Profiles L3 1.5 hours 0.5 degree x 0.5 degree V05
DOI: 10.5067/gpm/dpr/ka/2a/05
title: GPM DPR Ka Precipitation Profile 2A 1.5 hours 5 km V05
DOI: 10.5067/gpm/dpr/gpm/2a/05
title: GPM DPR Precipitation Profile L2A 1.5 hours 5 km V05
DOI: 10.5067/gpm/dpr/slh/3a-month/05
title: GPM DPR Spectral Latent Heating Profiles L3 1 month 0.5 degree x 0.5 degree V05
DOI: 10.5067/gpm/dpr/3a-month/05
title: GPM DPR Precipitation Profile 1 month 0.25 degree x 0.25 degree V05
DOI: 10.5067/gpm/dpr/3a-des/05
title: GPM DPR Precipitation Profile 1 Day Descending 0.25 degree x 0.25 degree V05
DOI: 10.5067/gpm/dpr/3a-asc/05
title: GPM DPR Precipitation Profile 1 Day Ascending 0.25 degree x 0.25 degree V05
DOI: 10.5067/gpm/dpr/3a-day/05
title: GPM DPR Precipitation Profile 1 Day 0.25 degree x 0.25 degree V05
DOI: 10.5067/gpm/dpr/ku/2a/05
title: GPM DPR Ku Precipitation Profile 2A 1.5 hours 5 km V05
DOI: 10.5067/gpm/dpr/slh/2h/05
title: GPM DPR Spectral Latent Heating Profiles L2 1.5 hours 5 km V05
DOI: 10.21227/364j-6j73
title: RF-Fingerprint-BT-IoT: Real-world Frequency Hopping Bluetooth dataset from IoT devices for RF fingerprinting

description: A real-world radio frequency (RF) fingerprinting dataset for commercial off-the-shelf (COTS) Bluetooth emitters under challenging testbed setups is presented in this dataset. The dataset includes emissions from 10 COTS IoT emitters (2 laptops and 8 commercial chips) that are captured with a National Instruments Ettus USRP X300 radio outfitted with a UBX160 daughterboard and a VERT2450 antenna. The receiver is tuned to record a 2 MHz bandwidth of the spectrum centered at the 2.414 GHz frequency. This is a first-of-its-kind dataset for fingerprinting Bluetooth emitters under challenging and diverse indoor laboratory setups. The dataset is split into two:  Day1 and Day2 each of which is recorded in a different time frame, location, and testbed setup to enable critical generalization test of the trained deep learning (DL) model. The authors suggest training the DL model with the Day1 dataset which is a simpler setup with recordings under varied Bluetooth signal strengths followed by evaluating the generalization capability of the model with Day2 dataset which is a challenging and vastly different setup compared to Day1. This evaluation will validate the real-world deployment capability of the trained DL model. The dataset follows the SigMF specifications with certain field extensions to facilitate the fingerprinting application and include additional metadata fields. Each capture is of length 40 Mega Samples (MS) and is associated with a JSON metadata file.
DOI: 10.6084/m9.figshare.21126103
title: cossypha_dichroa_zanfona_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.21126103.v1
title: cossypha_dichroa_zanfona_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.21126118
title: wine-1

description: wine csv data with columns
DOI: 10.5519/qd.xnp9i8gc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (253 records)
DOI: 10.21223/cdsvcn/lpsvam
title: 01_Field_book_CRW_late_blight_resistant.tab

description: :unav
DOI: 10.21223/cdsvcn/t64yox
title: 03_Check-data_CRW_late_blight_resistant.tab

description: :unav
DOI: 10.21223/cdsvcn/urzteo
title: 02_Pedigree_CRW_late_blight_resistant.tab

description: :unav
DOI: 10.6084/m9.figshare.21126124
title: cossypha_heuglini_zanfona_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.21126124.v1
title: cossypha_heuglini_zanfona_1.fasta.gz

description: ........
DOI: 10.6084/m9.figshare.21126166
title: MAG52.functional_and_taxonomic_table.txt

description: Annotation files as described within the publication. From MetaPathways2.5
DOI: 10.5281/zenodo.7081862
title: A spatiotemporally resolved single cell atlas of the Plasmodium liver stage

description: This code is associated with the paper "A spatiotemporally resolved single cell atlas of the <em>Plasmodium</em> liver stage" Data generated in this study have been deposited in Gene Expression Omnibus with the accession code GSE181725. The code used to process the raw data to a Scanpy/Seurat structure used for analysis is available at https://github.com/AmichayAfriat/SpatioTemporal_malaria_liver_stage_atlas/. In this repository, you will find processed scRNAseq data and the codes used for further analysis and data visualization. Codes written in R (4.0.2; packages include seurat, dplyr, tidyr, ggpubr, stats, and EnhancedVolcano) and MATLAB (2019a). <strong>Folder: Additional data</strong> Metadata used in the analysis NZ_data.txt - Zonation data extracted from smFISH images using the 'analyze_neighborhood_intensity.m' function <strong>Folder: Figures_source_data</strong> Data underlying the graphical representations used in figures Each file contains clearly labeled sheets for distinct subplots <strong>Folder: functions</strong> Functions used in Matlab scripts <strong>Folder: GSEA_OUTPUT</strong> Gene Set Enrichment Analysis (GSEA, v3.0) output. Curated KEGG and HALLMARK annotations were used Filtered for minimum 15 genes in set and maximum 500. Default setting of 1,000 permutation was used to establish significance. For abortive cells DGE stricter thresholds were used - relative expression &gt; 10<sup>-4</sup>, and minimum 30 genes in set
DOI: 10.6084/m9.figshare.21126181
title: Metagenome-assembled genome of a putative aerobic chemoheterotroph from volcanic terrain in Hawaii - predicted pathways

description: Predicted pathways as described in the publication
DOI: 10.6084/m9.figshare.21126181.v1
title: Metagenome-assembled genome of a putative aerobic chemoheterotroph from volcanic terrain in Hawaii - predicted pathways

description: Predicted pathways as described in the publication
DOI: 10.6084/m9.figshare.20514053.v1
title: Oxia Planum, Mars, classified using the NOAH-H deep-learning terrain classification system

description: We present a map of Oxia Planum, Mars, the landing site for the ExoMars Rover. This shows surface texture and aeolian bedform distribution, classified using a deep learning (DL) system. A hierarchical classification scheme was developed, categorising the surface textures observed at the site. This was then used to train a DL network, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H). The DL applied the classification scheme across a wider area than could have been mapped manually. The result showed strong agreement with human-mapped areas reserved for validation. The resulting product is presented in two ways, representing the two principle levels of the classification scheme. ‘Descriptive classes’ are purely textural in nature, making them compatible with a machine learning approach. These are then combined into ‘interpretive groups’, broader thematic classes, which provide an interpretation of the landscape. This step allows for a more intuitive analysis of the results by human users.
DOI: 10.5284/1000389
title: Excavations at St Peter's Church, Barton-upon-Humber

description: St Peter's Church at Barton-upon-Humber (TA 0347 2194) was declared redundant in 1972 and taken into public guardianship in 1978 by the then Department of Environment. Given that it had long been recognised that it had a late Saxon origin, a major programme of excavation and survey was instituted. This explored the church and its churchyard, and ran from 1978 to 1984 under the direction of Warwick Rodwell. The programme has meant that this is the most intensively studied and recorded parish church in the country. It also produced the largest collection of human remains ever excavated in the UK. The latter provide a unique insight into the population of a small, relatively isolated, market town over 900 years.
DOI: 10.5281/zenodo.3625990
title: 2D Herbig Ae/Be disk models for HD far-infrared lines (Kama et al. 2020)

description: In this work 2D physical-chemical models of Herbig Ae/Be protoplanetary disks have been run to relate HD far-infrared line fluxes to gas masses. The tables give DALI model parameters and matching HD far-infrared line fluxes used in Kama et al. 2020 (A&A 634, A88 (2020); doi:10.1051/0004-6361/201937124)
DOI: 10.5281/zenodo.3625989
title: 2D Herbig Ae/Be disk models for HD far-infrared lines (Kama et al. 2020)

description: In this work 2D physical-chemical models of Herbig Ae/Be protoplanetary disks have been run to relate HD far-infrared line fluxes to gas masses. The tables give DALI model parameters and matching HD far-infrared line fluxes used in Kama et al. 2020 (A&A 634, A88 (2020); doi:10.1051/0004-6361/201937124)
DOI: 10.6084/m9.figshare.21126001
title: Dataset for Impact of Agricultural intensification bee diversity in Afrotropical drylands

description: Data used in this study were collected from August 2018 to March 2020 to investigate the impact of agricultural intensification on bee assemblages in the Afro-tropical drylands of Northern Tanzania. Two standardized sampling methods (UV-reflecting colored pan traps and standardized random walks) were employed to sample bees (Lasway et al., 2021; Prendergast et al., 2020). Twelve pan traps in four clusters (each cluster with three different UV-reflecting colors: white, yellow, and blue) were installed in each plot to passively collect bees (Classen et al., 2020; Elzay & Baum, 2021). Besides pan trap sampling, we used a standardized random walk method to sample bees (Lasway et al., 2022). This method involves random slow pace walks within plots using a hand net to actively collect bees that are foraging on flowers.
DOI: 10.5281/zenodo.6808558
title: Data Archive of 'Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate'

description: Output data used to create figures in ' Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate ' is archived. Original data sources from which the output data are generated are Reanalysis Products (ERA5, JRA55, NCEP/NCAR reanalysis) and 8 CMIP6 model simulations.
DOI: 10.5281/zenodo.6808557
title: Data Archive of 'Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate'

description: Output data used to create figures in ' Hadley Cell Edge Modulates the Role of Ekman Heat Flux in a Future Climate ' is archived. Original data sources from which the output data are generated are Reanalysis Products (ERA5, JRA55, NCEP/NCAR reanalysis) and 8 CMIP6 model simulations.
DOI: 10.7910/dvn/ths2q7
title: A PUBLIC ORGANIZATION PROVIDED A POOR SERVICE: IS THERE ANYTHING THEY CAN DO TO MAKE IT RIGHT WITH THE CUSTOMER?

description: Data for research examining recovery efforts by a local government.
DOI: 10.5067/gpm/prtmi/trmm/2b/07
title: GPM PR and TMI on TRMM Combined Precipitation L2B 1.5 hours 5 km V07
DOI: 10.5067/gpm/prtmi/trmm/3b-month/07
title: GPM PR and TMI on TRMM (Combined Precipitation) L3 1 month 0.25x0.25 degree V07
DOI: 10.5067/gpm/prtmi/trmm/csh/3b-month/07
title: GPM PR and TMI on TRMM Combined Convective-Stratiform Latent Heating Profiles L3 1 month 0.25x0.25 degree V07
DOI: 10.5067/gpm/ssmi/f10/1c/07
title: GPM SSMI on F10 Common Calibrated Brightness Temperatures L1C 1.5 hours 13 km V07
DOI: 10.5067/gpm/amsre/aqua/gprofclim/2a/07
title: GPM AMSR-E on Aqua (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 5 km V07
DOI: 10.5067/gpm/ssmi/f08/gprofclim/2a/07
title: GPM SSM/I on F08 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 12 km V07
DOI: 10.5067/gpm/ssmi/f10/gprofclim/2a/07
title: GPM SSM/I on F10 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 12 km V07
DOI: 10.5067/gpm/ssmi/f13/gprofclim/2a/07
title: GPM SSM/I on F13 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 12 km V07
DOI: 10.5067/gpm/ssmi/f14/gprofclim/2a/07
title: GPM SSM/I on F14 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 12 km V07
DOI: 10.5067/gpm/ssmi/f15/gprofclim/2a/07
title: GPM SSM/I on F15 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 12 km V07
DOI: 10.5067/gpm/atms/noaa20/3a-month/07
title: GPM ATMS on NOAA-20 (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/atms/npp/3a-month/07
title: GPM ATMS on SUOMI-NPP (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/amsre/aqua/gprofclim/3a-month/07
title: GPM AMSR-E on Aqua (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/amsre/aqua/gprofclim/3a-day/07
title: GPM AMSR-E on Aqua (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmi/f08/gprofclim/3a-month/07
title: GPM SSMI on F08 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmi/f08/gprofclim/3a-day/07
title: GPM SSMI on F08 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmi/f10/gprofclim/3a-month/07
title: GPM SSMI on F10 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmi/f10/gprofclim/3a-day/07
title: GPM SSMI on F10 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/amsub/noaa15/gprofclim/2a/07
title: GPM AMSU-B on NOAA15 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 16 km V07
DOI: 10.5067/gpm/amsub/noaa16/gprofclim/2a/07
title: GPM AMSU-B on NOAA16 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 16 km V07