cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bvz4b
title: CCDC 2170872: Experimental Crystal Structure Determination

description: Related Article: Xiaoqun Yang, Jun Sun, Xuan Huang, Zhichao Jin|2022|Org.Lett.|24|5474|doi:10.1021/acs.orglett.2c02211
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.cc2bxzdn
title: CCDC 2172802: Experimental Crystal Structure Determination

description: Related Article: Alexander D. Roth, Dasan M. Thamattoor|2022|Cryst.Growth Des.|22|4757|doi:10.1021/acs.cgd.2c00120
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.cc2byz9l
title: CCDC 2173760: Experimental Crystal Structure Determination

description: Related Article: Brandon L. Frey, Matthew T. Figgins, Gerard P. Van Trieste, III, Raanan Carmieli, David C. Powers|2022|J.Am.Chem.Soc.|144|13913|doi:10.1021/jacs.2c05562
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.cc2c04wf
title: CCDC 2174894: Experimental Crystal Structure Determination

description: Related Article: Soumen Barik, Rohan Chandra Das, Kuruva Balanna, Akkattu T. Biju|2022|Org.Lett.|24|5456|doi:10.1021/acs.orglett.2c02185
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.cc2c1qkq
title: CCDC 2176403: Experimental Crystal Structure Determination

description: Related Article: Morgane Mando, Mathieu Fares, Christelle Kowandy, Fabienne Grellepois, Emmanuel Riguet|2022|Org.Lett.|24|5351|doi:10.1021/acs.orglett.2c02001
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.cc2c1qlr
title: CCDC 2176404: Experimental Crystal Structure Determination

description: Related Article: Morgane Mando, Mathieu Fares, Christelle Kowandy, Fabienne Grellepois, Emmanuel Riguet|2022|Org.Lett.|24|5351|doi:10.1021/acs.orglett.2c02001
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.cc2c1qms
title: CCDC 2176405: Experimental Crystal Structure Determination

description: Related Article: Morgane Mando, Mathieu Fares, Christelle Kowandy, Fabienne Grellepois, Emmanuel Riguet|2022|Org.Lett.|24|5351|doi:10.1021/acs.orglett.2c02001
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.cc2c1qnt
title: CCDC 2176406: Experimental Crystal Structure Determination

description: Related Article: Morgane Mando, Mathieu Fares, Christelle Kowandy, Fabienne Grellepois, Emmanuel Riguet|2022|Org.Lett.|24|5351|doi:10.1021/acs.orglett.2c02001
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.cc2c1qpv
title: CCDC 2176407: Experimental Crystal Structure Determination

description: Related Article: Morgane Mando, Mathieu Fares, Christelle Kowandy, Fabienne Grellepois, Emmanuel Riguet|2022|Org.Lett.|24|5351|doi:10.1021/acs.orglett.2c02001
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.cc2c1qqw
title: CCDC 2176408: Experimental Crystal Structure Determination

description: Related Article: Morgane Mando, Mathieu Fares, Christelle Kowandy, Fabienne Grellepois, Emmanuel Riguet|2022|Org.Lett.|24|5351|doi:10.1021/acs.orglett.2c02001
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.cc2c73tk
title: CCDC 2181588: Experimental Crystal Structure Determination

description: Related Article: Ling Li, Xiu-Shuai Chen, Xiang-Ping Hu|2022|Org.Lett.|24|5433|doi:10.1021/acs.orglett.2c02155
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.cc2c73vl
title: CCDC 2181589: Experimental Crystal Structure Determination

description: Related Article: Ling Li, Xiu-Shuai Chen, Xiang-Ping Hu|2022|Org.Lett.|24|5433|doi:10.1021/acs.orglett.2c02155
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.cc2c7qn0
title: CCDC 2182172: Experimental Crystal Structure Determination

description: Related Article: Xiaoqun Yang, Jun Sun, Xuan Huang, Zhichao Jin|2022|Org.Lett.|24|5474|doi:10.1021/acs.orglett.2c02211
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.cc2bxxy4
title: CCDC 2172757: Experimental Crystal Structure Determination

description: Related Article: Yue Guo, Jiajing Wu, Wenlong Liu, Sheng-Ping Guo|2022|Inorg.Chem.|61|11514|doi:10.1021/acs.inorgchem.2c01796
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/4030760
title: Russian Invasion of Ukraine
DOI: 10.6084/m9.figshare.17704502
title: Rare Skin Disease Database

description: We collected data from public databases containing curated, inferred, literature-based information to create a database for connecting biomedical information. With curated disease genes, phenotypes, and phenotype genes as the direct molecular signatures of rare skin diseases, this work tries to link potential drugs to candidate rare skin disease targets with matched genes through disease-gene or disease-phenotype-gene relationships.RSDB contains 891 rare skin diseases, 28,077 genes, 9,732 phenotypes and 16,671 compounds with 16,411 disease-gene relationships, 15,793 disease-phenotype relationships, 12,184 disease-reference relationships, 638,151 gene-phenotype relationships, 17,636 gene-reference relationships and 61,282 references.Users can visit the RSDB homepage (https://rsdb.cmdm.tw) to explore the data for rare skin disease information.The RSDB is under the Attribution-NonCommercial-ShareAlike 4.0 international License(https://creativecommons.org/licenses/by-nc-sa/4.0/).
DOI: 10.6084/m9.figshare.20066606
title: Date-Tieshangang Bay.xlsx

description: POM and DOM were collected in Tieshangang Bay for their spatial distribution and biogeochemical processes in terms of POC, PN, δ13C, and δ15N of POM, DOC, CDOM and FDOM. Together with hydrological and environmental parameters, such as temperature, salinity, apparent dissolved oxygen (AOU), nutrients (NH4+, NO2-, NO3-, PO43-) and chlorophyll-a (Chl <em>a</em>), the sources, biogeochemical behaviors and interactions of OM are discussed in detail.
DOI: 10.6084/m9.figshare.20066606.v2
title: Date-Tieshangang Bay.xlsx

description: POM and DOM were collected in Tieshangang Bay for their spatial distribution and biogeochemical processes in terms of POC, PN, δ13C, and δ15N of POM, DOC, CDOM and FDOM. Together with hydrological and environmental parameters, such as temperature, salinity, apparent dissolved oxygen (AOU), nutrients (NH4+, NO2-, NO3-, PO43-) and chlorophyll-a (Chl <em>a</em>), the sources, biogeochemical behaviors and interactions of OM are discussed in detail.
DOI: 10.6084/m9.figshare.20066606.v1
title: Date-Tieshangang Bay.xlsx

description: POM and DOM were collected in Tieshangang Bay for their spatial distribution and biogeochemical processes in terms of POC, PN, δ13C, and δ15N of POM, DOC, CDOM and FDOM. Together with hydrological and environmental parameters, such as temperature, salinity, apparent dissolved oxygen (AOU), nutrients (NH4+, NO2-, NO3-, PO43-) and chlorophyll-a (Chl <em>a</em>), the sources, biogeochemical behaviors and interactions of OM are discussed in detail.
DOI: 10.6084/m9.figshare.19723423
title: The link between agriculture and rural food security in the ecoregions of Mexico: path diagrams and underlying datasets.

description: The data presented here is a nationwide Geographic Information System (GIS) layer (shape format) comprising georeferenced features of the agricultural production units and food security indices of the corresponding rural population. This nationwide dataset is disaggregated at the rural neighbourhood level ("área de control" in Spanish, the smallest spatial unit of the agricultural census in Mexico) and yields 68323 data units (number of observations = 68323). <br> The variables include 15 features of the agricultural production units, 4 food security indices and one ecoregion label (a total of 20 fields of information). <br> The meaning of each variable is described in the following url: http://seguralimentariamex.igg.unam.mx/layers/geonode_data:geonode:fsIndAndInd0 (check the "attributes" tab). <br> The variables were derived from: https://doi.org/10.1016/j.agsy.2021.103091 <br> A selection of the variables were mapped and made available online in the following Geonode spatial data infrastructure: http://seguralimentariamex.igg.unam.mx/maps/?limit=5&offset=0 <br>
DOI: 10.57841/casdc.0000003
title: VASP运行时优化结果数据
DOI: 10.6084/m9.figshare.20431911
title: A real data demo for "From Compressive Sampling to Compressive Tasking: Retrieving Semantics in Compressed Domain with Low Bandwidth"

description: This repository contains the real data used in our paper "From Compressive Sampling to Compressive Tasking: Retrieving Semantics in Compressed Domain with Low Bandwidth"
DOI: 10.6084/m9.figshare.20431911.v2
title: A real data demo for "From Compressive Sampling to Compressive Tasking: Retrieving Semantics in Compressed Domain with Low Bandwidth"

description: This repository contains the real data used in our paper "From Compressive Sampling to Compressive Tasking: Retrieving Semantics in Compressed Domain with Low Bandwidth"
DOI: 10.6084/m9.figshare.20431911.v1
title: A real data demo for "From Compressive Sampling to Compressive Tasking: Retrieving Semantics in Compressed Domain with Low Bandwidth"

description: This repository contains the real data used in our paper "From Compressive Sampling to Compressive Tasking: Retrieving Semantics in Compressed Domain with Low Bandwidth"
DOI: 10.5281/zenodo.6965395
title: ReZZan

description: The source code and experimental scripts of ReZZan.
DOI: 10.25912/rdf_1659674269154
title: A method for increasing electroporation competence of Gram-negative clinical isolates by Polymyxin B nonapeptide
DOI: 10.6084/m9.figshare.20416101.v1
title: TMS_review_records

description: This dataset is the supplementary material of the systematic review (in revision): <br> <strong>Title</strong>: Devices and Technology in Transcranial Magnetic Stimulation: A Systematic Review <br> <strong>Journal</strong>: Brain science <br> <strong>Authors</strong>: Gutiérrez, M.I.; Poblete-Naredo, I.; Mercado-Gutiérrez, J.A.; Toledo-Peral, C.L.; Quinzaños-Fresnedo, J.; Gutiérrez-Martínez, J.
DOI: 10.34740/kaggle/dsv/4031042
title: WallStreetBets 2022
DOI: 10.5281/zenodo.6965430
title: Melting Experiments on Fe-O-H and Fe-H: Evidence for Eutectic Melting in Fe-FeH and Implications for Hydrogen in the Core

description: Tables S1 and S2 show data of the melting experiments on the Fe-O-H ternary and Fe-H binary systems, respectively. Dataset S1 reproduces the rainbow-colored areas in Figures 4a–d.
DOI: 10.5281/zenodo.5906235
title: Melting Experiments on Fe-O-H and Fe-H: Evidence for Eutectic Melting in Fe-FeH and Implications for Hydrogen in the Core

description: Tables S1 and S2 show data of the melting experiments on the Fe-O-H ternary and Fe-H binary systems, respectively. Dataset S1 reproduces the rainbow-colored areas in Figures 4a–d.
DOI: 10.26180/20418837
title: Data from "Common envelopes in massive stars II: The distinct roles of hydrogen and helium recombination"

description: Data used for producing the figures in the publication "Common envelopes in massive stars II: The distinct roles of hydrogen and helium recombination" (https://arxiv.org/abs/2206.06411). <br> Contains binding energy profiles of the donor star, evolution in the unbound mass, evolution in the stellar core separation, selected simulation snapshots, and the ionisation fraction when particles become unbound. See README for details.
DOI: 10.26180/20418837.v2
title: Data from "Common envelopes in massive stars II: The distinct roles of hydrogen and helium recombination"

description: Data used for producing the figures in the publication "Common envelopes in massive stars II: The distinct roles of hydrogen and helium recombination" (https://arxiv.org/abs/2206.06411). <br> Contains binding energy profiles of the donor star, evolution in the unbound mass, evolution in the stellar core separation, selected simulation snapshots, and the ionisation fraction when particles become unbound. See README for details.
DOI: 10.26180/20418837.v1
title: Data from "Common envelopes in massive stars II: The distinct roles of hydrogen and helium recombination"

description: Data used for producing the figures in the publication "Common envelopes in massive stars II: The distinct roles of hydrogen and helium recombination" (https://arxiv.org/abs/2206.06411). <br> Contains binding energy profiles of the donor star, evolution in the unbound mass, evolution in the stellar core separation, selected simulation snapshots, and the ionisation fraction when particles become unbound. See README for details.
DOI: 10.26180/20437509.v1
title: Hanegraaf, Paton, Verdejo-Garcia, Hohwy Social Processing in BPD Dataset.sav

description: SPSS dataset used for statistical analysis in manuscript: "Combining Trait and Neurocognitive Frameworks to Parse Heterogeneity in Borderline Personality Disorder" -- see methods for a description of variables or contact authors for more information
DOI: 10.26180/20437509
title: Hanegraaf, Paton, Verdejo-Garcia, Hohwy Social Processing in BPD Dataset.sav

description: SPSS dataset used for statistical analysis in manuscript: "Combining Trait and Neurocognitive Frameworks to Parse Heterogeneity in Borderline Personality Disorder" -- see methods for a description of variables or contact authors for more information
DOI: 10.21227/a2ny-bx06
title: COVID-19 tweets for  selected countries from March 2020 to February 2022

description:   UK, Brazil, USA, India, Japan, Indonesia, Australia, Indonesia
DOI: 10.25934/pr00006743.1
title: Available IPD datapackage for study 'An Interim Report to Assess the Efficacy and Tolerability of Paroxetine by Double-Blind Comparison with Amitriptyline in Patients Referred to a Psychiatric Clinic'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/pr00006749.1
title: Available IPD datapackage for study 'Paroxetine in the treatment of depression � a randomised comparison with amitriptyline.'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.6855482
title: SPEAR_SST_data(January-July_initialization)

description: Data for supporting the finding in the manuscript "Skillful forecasts of springtime CONUS tornado activity up to a year in advance" by Tseng et al. (2022)
DOI: 10.5281/zenodo.6855481
title: SPEAR_SST_data(January-July_initialization)

description: Data for supporting the finding in the manuscript "Skillful forecasts of springtime CONUS tornado activity up to a year in advance" by Tseng et al. (2022)
DOI: 10.48786/edbt.2023.02
title: Efficient Maintenance of Agree-Sets Against Dynamic Datasets
DOI: 10.48786/edbt.2023.03
title: Joint Source and Schema Evolution: Insights from a Study of 195 FOSS Projects
DOI: 10.48786/edbt.2023.05
title: Workload-Aware Query Recommendation Using Deep Learning
DOI: 10.48786/edbt.2023.20
title: Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights
DOI: 10.48786/edbt.2023.07
title: Progressive Entity Resolution over Incremental Data
DOI: 10.48786/edbt.2023.08
title: Supporting Complex Query Time Enrichment For Analytics
DOI: 10.48786/edbt.2023.09
title: Example-Driven Exploratory Analytics over Knowledge Graphs
DOI: 10.48786/edbt.2023.10
title: Predictive Price-Performance Optimization for Serverless Query Processing
DOI: 10.48786/edbt.2023.12
title: Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning
DOI: 10.48786/edbt.2023.21
title: Comprehensive Evaluation of Unrestricted Graph Alignment Algorithms
DOI: 10.48786/edbt.2023.15
title: Multi-Dimensional Data Publishing With Local Differential Privacy
DOI: 10.48786/edbt.2023.16
title: EGG-SynC: Exact GPU-parallelized Grid-based Clustering by Synchronization
DOI: 10.48786/edbt.2023.17
title: KWIQ: Answering k-core Window Queries in Temporal Networks
DOI: 10.48786/edbt.2023.18
title: GraphTempo: An aggregation framework for evolving graphs
DOI: 10.6084/m9.figshare.20437134.v1
title: [acp-2022-294] Effects of OH radical and SO2 concentrations on photochemical reactions of mixed anthropogenic organic gases

description: Original data have been included
DOI: 10.6084/m9.figshare.20437134.v2
title: [acp-2022-294]

description: Original data have been included
DOI: 10.5281/zenodo.6922006
title: Long-term (2003-2020) hourly 0.25° global PM2.5 dataset (DeepCAMS) Part-1: 2003-2011

description: Paper title: Generating a Long-term (2003-2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS) Paper doi: https://doi.org/10.1016/j.scitotenv.2022.157747
DOI: 10.5281/zenodo.6965458
title: ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Benchmark for Wire Routing

description: Combinatorial optimization (CO) has been studied as a useful tool for modeling industrial problems, but it still remains a challenge in complex domains because of the NP-hardness. With recent advances in machine learning, the field of CO is shifting to the study of neural combinatorial optimization using a large amount of data, showing promising results in some CO problems. Rectilinear Steiner Tree Packing Problem (RSTPP) is a well-known CO problem and is widely used in modeling wiring problem among components in a printed circuit board and an integrated circuit design. Despite the importance for a design automation, the lack of availab le data has restricted to fully leverage machine learning approaches. In this paper, we present ReSPack, a large-scale synthetic RSTPP dataset and a benchmark for wire routing. ReSPack includes a source code for generating RSTPP problems of various types with different sizes, data instances generated for the benchmark testing, and implementations of several baseline algorithms. We believe that ReSPack can contribute to solving circuit design problems as well as the development of CO with machine learning.