cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6658371
title: RMFinder

description: Dados de saída do software RMFinder dos benchmarks case UNISIM-I-D, UNISIM-II-D e Olympus (ttps://www.unisim.cepetro.unicamp.br/benchmarks/br/) para serem realizados nos experimentos para testar a hipótese de que é possível aprimorar os recursos de visualização de dados de probabilidade acumulada de riscos utilizados para auxiliar engenheiros de petróleo na escolha de modelos representativos em processo de desenvolvimento e gerenciamento de reservatórios de petróleo.
description: rm_finder.csv : contém os N cenários (ou seja, os N modelos rodados com 1 estratégia predefinida), dos quais serão escolhidos os modelos representativos. Parameters_*.txt: contém os parâmetros de execução que foram fornecidos ao RMFinder. Cada um desses arquivos se concentra em uma única quantidade de modelos representativos, e execução gerou 10 soluções diferentes. Diretório results_NNN/: contém os resultados da execução NNN - results_NNN/XXX_solucao.txt: contém quais os modelos representativos escolhidos como sendo a solução número XXX da execução NNN. - results_NNN/heatmap.csv: contém as "áreas entre as curvas de risco "para cada solução NNN e variável sua respectiva variável de saída.
DOI: 10.5281/zenodo.6657616
title: RMFinder

description: Dados de saída do software RMFinder dos benchmarks case UNISIM-I-D, UNISIM-II-D e Olympus (ttps://www.unisim.cepetro.unicamp.br/benchmarks/br/) para serem realizados nos experimentos para testar a hipótese de que é possível aprimorar os recursos de visualização de dados de probabilidade acumulada de riscos utilizados para auxiliar engenheiros de petróleo na escolha de modelos representativos em processo de desenvolvimento e gerenciamento de reservatórios de petróleo.
description: rm_finder.csv : contém os N cenários (ou seja, os N modelos rodados com 1 estratégia predefinida), dos quais serão escolhidos os modelos representativos. Parameters_*.txt: contém os parâmetros de execução que foram fornecidos ao RMFinder. Cada um desses arquivos se concentra em uma única quantidade de modelos representativos, e execução gerou 10 soluções diferentes. Diretório results_NNN/: contém os resultados da execução NNN - results_NNN/XXX_solucao.txt: contém quais os modelos representativos escolhidos como sendo a solução número XXX da execução NNN. - results_NNN/heatmap.csv: contém as "áreas entre as curvas de risco "para cada solução NNN e variável sua respectiva variável de saída.
DOI: 10.6084/m9.figshare.20097137.v1
title: V1_Input-1_L_.bw

description: To get link for bigwig files
DOI: 10.6084/m9.figshare.20097137
title: V1_Input-1_L_.bw

description: To get link for bigwig files
DOI: 10.5281/zenodo.6658370
title: Erythroxylum subrotundum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6658369
title: Erythroxylum subrotundum SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.20097098
title: Event-2015-12-04_03

description: DATA: Unusual plasma formations produced by positive streamers entering the cloud of negatively charged water droplets
DOI: 10.6084/m9.figshare.20097098.v1
title: Event-2015-12-04_03

description: DATA: Unusual plasma formations produced by positive streamers entering the cloud of negatively charged water droplets
DOI: 10.5281/zenodo.6657586
title: Images used for Actin nano-architecture of phagocytic podosomes

description: Images used for Actin nano-architecture of phagocytic podosomes
DOI: 10.5281/zenodo.6657585
title: Images used for Actin nano-architecture of phagocytic podosomes

description: Images used for Actin nano-architecture of phagocytic podosomes
DOI: 10.5281/zenodo.6547159
title: Data for Analyses presented in associated publication: Investigating trends in those who experience menstrual bleeding changes after SARS CoV-2 vaccination

description: This is the data used for analyses presented in our associated publication (details to be provided later). There are three datasets, because we analyzed by specific, biologically relevant subgroups (pre-menopausal people with predictable menstrual cycles, pre-menopausal people who usually do not menstruate, and post-menopausal people). The data provided here has been cleaned and aggregated as described in the associated publication. Specifically, here we have only included the variables that are included in our analyses we collapsed specific identities (gender, race, ethnicity) into binarized categories (as used in the publication) in order to reduce the likelihood someone could be re-identified from this de-identified data this dataset also does not include unique identifiers for individuals, but instead has row numbers for each dataset (starting at 1 for each data subset). There are no repeated individuals between datasets, as these are mutually exclusive subgroups Additional information regarding the survey and data processes can be found at https://osf.io/6rvxk/?view_only=f91f1247658f49e3bbf59b2f6cfd3898
DOI: 10.5281/zenodo.6547158
title: Data for Analyses presented in associated publication: Investigating trends in those who experience menstrual bleeding changes after SARS CoV-2 vaccination

description: This is the data used for analyses presented in our associated publication (details to be provided later). There are three datasets, because we analyzed by specific, biologically relevant subgroups (pre-menopausal people with predictable menstrual cycles, pre-menopausal people who usually do not menstruate, and post-menopausal people). The data provided here has been cleaned and aggregated as described in the associated publication. Specifically, here we have only included the variables that are included in our analyses we collapsed specific identities (gender, race, ethnicity) into binarized categories (as used in the publication) in order to reduce the likelihood someone could be re-identified from this de-identified data this dataset also does not include unique identifiers for individuals, but instead has row numbers for each dataset (starting at 1 for each data subset). There are no repeated individuals between datasets, as these are mutually exclusive subgroups Additional information regarding the survey and data processes can be found at https://osf.io/6rvxk/?view_only=f91f1247658f49e3bbf59b2f6cfd3898
DOI: 10.5519/qd.z8t51koc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7375 records)
DOI: 10.5281/zenodo.6657096
title: End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

description: We propose the end-to-end multimodal fact-checking and explanation generation, where the input is a claim and a large collection of web sources, including articles, images, videos, and tweets, and the goal is to assess the truthfulness of the claim by retrieving relevant evidences and predicting a truthfulness label (i.e., support, refute and not enough information), and to generate a rationalization statement to explain the reasoning and ruling process. To support this research, we construct MOCHEG, a large-scale dataset consisting of 21,184 claims where each claim is annotated with a truthfulness label and ruling statement, with 43,148 text evidences and 15,373 image evidences.
description: The complete dataset can be accessed from http://nlplab1.cs.vt.edu/~menglong/project/multimodal/fact_checking/MOCHEG/dataset/. The paper is in https://arxiv.org/abs/2205.12487.
DOI: 10.5281/zenodo.6653771
title: End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

description: We propose the end-to-end multimodal fact-checking and explanation generation, where the input is a claim and a large collection of web sources, including articles, images, videos, and tweets, and the goal is to assess the truthfulness of the claim by retrieving relevant evidences and predicting a truthfulness label (i.e., support, refute and not enough information), and to generate a rationalization statement to explain the reasoning and ruling process. To support this research, we construct MOCHEG, a large-scale dataset consisting of 21,184 claims where each claim is annotated with a truthfulness label and ruling statement, with 43,148 text evidences and 15,373 image evidences.
description: The complete dataset can be accessed from http://nlplab1.cs.vt.edu/~menglong/project/multimodal/fact_checking/MOCHEG/dataset/. The paper is in https://arxiv.org/abs/2205.12487.
DOI: 10.5281/zenodo.6658425
title: Code Smells in Elixir: Results from a Mining Study on GitHub [DATASET]

description: Dataset used in research
DOI: 10.5281/zenodo.6658424
title: Code Smells in Elixir: Results from a Mining Study on GitHub [DATASET]

description: Dataset used in research
DOI: 10.17632/8p8xxzmpf7.1
title: Trace elements in authigenic pyrite as methane seepage indicator

description: The trace element data of pyrite are in Supplementary 1-Q6 and Supplementary 2-Cl6. The contents of TS, TOC, TIC, sulfur isotope and calcium carbonate in sediments are Supplementary 3.
DOI: 10.17632/by7t6ztzzz.1
title: Data for: A Benford's Law based methodology for fraud detection in social welfare programs: Bolsa Familia analysis

description: Brazilian welfare program payments dataset files provided by Transparency Portal. These data were submited to a Newcomb-Benford Law (NBL)-based method for fraud detection.
DOI: 10.17632/6s3z52wn28.1
title: Field_data_compiled

description: The Data is collected in the field, for forest structures such as tree density, tree stands, DBH, Basal area, Biomass for sample plots. They can be analyses with simple regression analysis and statistical analysis, as for their correlation with each other and to any other data for outcome.
DOI: 10.17632/8p8xxzmpf7.2
title: Trace elements in authigenic pyrite as methane seepage indicator

description: The trace element data of pyrite are in Supplementary 1-Q6 and Supplementary 2-Cl6. The contents of TS, TOC, TIC, sulfur isotope and calcium carbonate in sediments are Supplementary 3.
DOI: 10.5519/qd.554v1tmn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6797 records)
DOI: 10.6084/m9.figshare.20097167
title: Treefiles for the Figure 4.2 (Chapter 4)

description: Treefiles for the Figure 4.2 (Chapter 2). Maximum likelihood phylogenetic trees of the MAGs. Both trees are calculated using IQ-TREE and are based on alignments of marker genes (for prokaryotes: 120 marker genes from GTDB-Tk, for eukaryotes: 50 marker genes from EukCC). <br> Include two files: 1. bacterial.treefile 2. eukaryotes.treefile <br>
DOI: 10.6084/m9.figshare.20097167.v1
title: Treefiles for the Figure 4.2 (Chapter 4)

description: Treefiles for the Figure 4.2 (Chapter 2). Maximum likelihood phylogenetic trees of the MAGs. Both trees are calculated using IQ-TREE and are based on alignments of marker genes (for prokaryotes: 120 marker genes from GTDB-Tk, for eukaryotes: 50 marker genes from EukCC). <br> Include two files: 1. bacterial.treefile 2. eukaryotes.treefile <br>
DOI: 10.7910/dvn/1uwcvb
title: Local Software Plugins

description: Local Software (LS) is a set of tools and workflows to imagine, evaluate, and implement networked urban designs. LS connects the insights of large-scale geospatial analysis with local design strategies across a network of sites. The tools enable planners and designers to visualize, simulate, and evaluate the physical, social, and ecological potentials of their individual and networked interventions in a robust and iterative workflow. LS allows designers to contextually design in many places, while understanding the connections between the individual interventions.
DOI: 10.6084/m9.figshare.20097170
title: Treefiles for the Figure 4.9 (Chapter 4)

description: Treefiles for the Figure 4.9 (Chapter 2). Maximum likelihood phylogenetic tree of Rhizobiales. The tree includes published genomes of Rhizobiales and Rhizobiales MAGs derived from lichen metagenomes (indicated in red). We generated the alignment of 120 marker genes using GTDB-Tk, and calculated the tree using IQ-TREE. Include two files: 1. rhizobiales.contree: treefile in Newick format 2. rhizobiales_annotated_tree.svg: annotated tree showing the taxonomic assignments of the genomes and presence/absence of genes related to nitrogen fixing and C1 metabolism
DOI: 10.25934/pr00004970.4
title: Available IPD datapackage for study 'Comparative Efficacy of Duloxetine vs Escitalopram in Patients With Fibromyalgia'

description: Duloxetine is FDA approved as pharmacological treatment for Fibromyalgia. The use of SSRIs has been endorsed by the 2013 Canadian guidelines. The data available for Escitalopram as a treatment modality for Fibromyalgia is limited, however small trials have demonstrated its efficacy. No head to head comparisons between escitalopram and duloxetine have been undertaken. We aim to conduct a single blind, randomized control trial to assess the comparative efficacy of duloxetine vs escitalopram in drug naive patients with newly diagnosed Fibromyalgia.
DOI: 10.25934/pr00007918
title: Stan IVP 6/18 - Start VM

description: Stan IVP 6/18 - Start VM
DOI: 10.5517/ccdc.csd.cc245y4f
title: CCDC 1971914: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.cc245y5g
title: CCDC 1971915: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.cc245y6h
title: CCDC 1971916: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.cc245y7j
title: CCDC 1971917: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.cc245y8k
title: CCDC 1971918: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.cc245y9l
title: CCDC 1971919: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.cc245ybm
title: CCDC 1971920: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.cc245ycn
title: CCDC 1971921: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.cc245ydp
title: CCDC 1971922: Experimental Crystal Structure Determination

description: Related Article: Mehrafshan G. Jafari, Dominik Fehn, Anders Reinholdt, Cristina Hernández-Prieto, Prajay Patel, Michael R. Gau, Patrick J. Carroll, J. Krzystek, Cong Liu, Andrew Ozarowski, Joshua Telser, Massimiliano Delferro, Karsten Meyer, Daniel J. Mindiola|2022|J.Am.Chem.Soc.|144|10201|doi:10.1021/jacs.2c00276
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.20097176
title: V1_RNHplus-1_1_L.bw

description: Dataset1
DOI: 10.6084/m9.figshare.20097176.v1
title: V1_RNHplus-1_1_L.bw

description: Dataset1
DOI: 10.7910/dvn/eqdyrl
title: L1 literacy and L2 oracy: A partial replication of Foster Skehan (1996)

description: Data for a project exploring the impact of task planning time for adult English language learners learners with low literacy in their first language
DOI: 10.5066/p9m6y68j
title: Seepage-run discharge measurements, September 8, 2021, He'eia Stream and 'Ioleka'a Stream, O'ahu, Hawai'i

description: This data release contains a comma-delimited ascii file of nine discrete discharge measurements made at sites along selected reaches of He'eia Stream and 'Ioleka'a Stream, O'ahu, Hawai'i, on September 8, 2021. These discrete discharge measurements form what is commonly referred to as a "seepage run." The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow conditions and external surface inflows (for example, a tributary) or outflows (for example, a diversion) of water to the reach are quantified and accounted for in the computation of net seepage.
DOI: 10.5517/ccdc.csd.cc28d02s
title: CCDC 2096904: Experimental Crystal Structure Determination

description: Related Article: Dajana Barišić, Ivan Halasz, Alen Bjelopetrović, Darko Babić, Manda Ćurić|2022|Organometallics|41|1284|doi:10.1021/acs.organomet.1c00698
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.cc269ywc
title: CCDC 2035363: Experimental Crystal Structure Determination

description: Related Article: Tian-Qi Lu, Han Xu, Lan-Tao Cheng, Xue-Tao Wang, Cheng Chen, Lingyun Cao, Gui-Lin Zhuang, Jun Zheng, Xiu-Ying Zheng|2022|Inorg.Chem.|61|8861|doi:10.1021/acs.inorgchem.2c00898
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.cc29bg7c
title: CCDC 2125212: Experimental Crystal Structure Determination

description: Related Article: Joaquim A. M. Castro, Bruno K. Serikava, Christian R. S. Maior, Fabrício F. Naciuk, Silvana A. Rocco, Carolina B. P. Ligiéro, Nelson H. Morgon, Paulo C. M. L. Miranda|2022|J.Org.Chem.|87|7610|doi:10.1021/acs.joc.1c02952
description: Related Article: Joaquim A. M. Castro, Bruno K. Serikava, Christian R. S. Maior, Fabrício F. Naciuk, Silvana A. Rocco, Carolina B. P. Ligiéro, Nelson H. Morgon, and Paulo C. M. L. Miranda|2021|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.