cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25824/redu/xohepm
title: Um arquivo para pensar "O lá que resiste aqui: sentidos de e sobre refugiados"

description: Os dados publicados nesta base fazem parte do arquivo de análise a partir do qual foi constituído o corpus da pesquisa de doutorado que resultou na tese intitulada "O lá que resiste aqui: sentidos de e sobre refugiados", desenvolvida no campo da Análise de Discurso de base materialista, que veio à lume pelo Programa de Pós Graduação em Linguística do IEL - Unicamp. O objetivo da pesquisa foi analisar o funcionamento dos discursos "de" e "sobre" refugiados na relação entre os sentidos produzidos a partir de uma memória sobre o espaço de partida, "lá", e os processos de significação que emergem "aqui", após a chegada no país que recebe aqueles que buscam refúgio - neste caso o Brasil. O trabalho com o arquivo - através da coleta e organização dos dados - permitiu jogar luz à questão dos refugiados, a partir de análises de relatos e testemunhos que dizem sobre o modo como o significante "refugiado" produz sentidos que podem tomar diferentes direções, dependendo das condições de produção e do modo de circulação. O levantamento destes dados girou, majoritariamente, em torno das campanhas lançadas para anunciar o Dia Mundial do Refugiado e dos pronunciamentos realizados em eventos que marcaram essa data. Os dados aqui publicados constituem-se em áudios, vídeos, reportagens e transcrições dentre outros materiais. Os áudios foram gravados durante três seminários públicos presenciais e as transcrições dos pronunciamentos realizados nesses seminários e em um webinário foram feitas manualmente, de forma intuitiva e sem auxílio de aparatos tecnológicos.
DOI: 10.18120/ja2b-cg62
title: Data for: Control of working memory maintenance by theta-gamma phase amplitude coupling of human hippocampal neurons
DOI: 10.5281/zenodo.8274533
title: Optimal design of virtual screening benchmarks from in vitro screening data

description: Input Datasets and output data for the creation of a new Benchmark dataset using PubChem Bioassay data.
description: {"references": ["1\tS. Kim, J. Chen, T. Cheng, A. Gindulyte, J. He, S. He, Q. Li, B. A. Shoemaker, P. A. Thiessen, B. Yu, L. Zaslavsky, J. Zhang and E. E. Bolton, Nucleic Acids Research, 2022, doi:10.1093/nar/gkac956"]}
DOI: 10.5281/zenodo.8274532
title: Optimal design of virtual screening benchmarks from in vitro screening data

description: Input Datasets and output data for the creation of a new Benchmark dataset using PubChem Bioassay data.
description: {"references": ["1\tS. Kim, J. Chen, T. Cheng, A. Gindulyte, J. He, S. He, Q. Li, B. A. Shoemaker, P. A. Thiessen, B. Yu, L. Zaslavsky, J. Zhang and E. E. Bolton, Nucleic Acids Research, 2022, doi:10.1093/nar/gkac956"]}
DOI: 10.17043/graham-2023-no3-1
title: Volatility of aerosol particles from NO₃ oxidation of α-pinene, isoprene and β-caryophyllene
DOI: 10.57715/unr/mjbtej/jmuzhp
title: Ejes_de_entrevistas_a_informantes_clave.txt

description: Ejes abordados en las entrevistas sobre dinámicas de coaliciones políticas
DOI: 10.57715/unr/mjbtej/ytiiep
title: Matriz de Datos Dinámica Coalicional.pdf

description: :unav
DOI: 10.6084/m9.figshare.24011466
title: EHWP manuscript deidentified data -Hep C.xlsx

description: Employee health Hep C screening data set
DOI: 10.6084/m9.figshare.24011466.v2
title: EHWP manuscript deidentified data -Hep C.xlsx

description: Employee health Hep C screening data set
DOI: 10.6084/m9.figshare.24011466.v1
title: EHWP manuscript deidentified data -Hep C.xlsx

description: Employee health Hep C screening data set
DOI: 10.5517/ccdc.csd.cc2db6wv
title: CCDC 2214357: Experimental Crystal Structure Determination

description: Related Article: Trever M. Bostelaar, Alexandra C. Brown, Arun Sridharan, Daniel L. M. Suess |2023|Nat. Synth.|2|740|doi:10.1038/s44160-023-00286-7
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.cc2db6xw
title: CCDC 2214358: Experimental Crystal Structure Determination

description: Related Article: Trever M. Bostelaar, Alexandra C. Brown, Arun Sridharan, Daniel L. M. Suess |2023|Nat. Synth.|2|740|doi:10.1038/s44160-023-00286-7
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.cc2db6yx
title: CCDC 2214359: Experimental Crystal Structure Determination

description: Related Article: Trever M. Bostelaar, Alexandra C. Brown, Arun Sridharan, Daniel L. M. Suess |2023|Nat. Synth.|2|740|doi:10.1038/s44160-023-00286-7
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.cc2db6zy
title: CCDC 2214360: Experimental Crystal Structure Determination

description: Related Article: Trever M. Bostelaar, Alexandra C. Brown, Arun Sridharan, Daniel L. M. Suess |2023|Nat. Synth.|2|740|doi:10.1038/s44160-023-00286-7
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.cc2db700
title: CCDC 2214361: Experimental Crystal Structure Determination

description: Related Article: Trever M. Bostelaar, Alexandra C. Brown, Arun Sridharan, Daniel L. M. Suess |2023|Nat. Synth.|2|740|doi:10.1038/s44160-023-00286-7
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.cc2db711
title: CCDC 2214362: Experimental Crystal Structure Determination

description: Related Article: Trever M. Bostelaar, Alexandra C. Brown, Arun Sridharan, Daniel L. M. Suess |2023|Nat. Synth.|2|740|doi:10.1038/s44160-023-00286-7
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.cc2db722
title: CCDC 2214363: Experimental Crystal Structure Determination

description: Related Article: Trever M. Bostelaar, Alexandra C. Brown, Arun Sridharan, Daniel L. M. Suess |2023|Nat. Synth.|2|740|doi:10.1038/s44160-023-00286-7
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: 10.24432/c58024
title: 9mers from cullpdb
DOI: 10.26302/sshade/bandlist_raman_dolomite
title: Raman bandlist of natural Dolomite

description: MIR-FIR Raman bandlist of natural Dolomite at 295K
DOI: 10.5519/qd.j2enaugz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (15 records)
DOI: 10.5281/zenodo.8274630
title: CMAQ-CUDA simulation outputs

description: Output for conventional CMAQ and CMAQ-CUDAv2.0.
DOI: 10.5281/zenodo.8274629
title: CMAQ-CUDA simulation outputs

description: Output for conventional CMAQ and CMAQ-CUDAv2.0.
DOI: 10.5517/ccdc.csd.cc29b910
title: CCDC 2125051: Experimental Crystal Structure Determination

description: Related Article: Liuqing Yang, Shuo Wang, Fangcan Liang, Ying Han, Yilong Li, Dingjian Shan, Lulu Liu, Qingling Wang, Dianhu Zhu|2023|Org.Chem.Front.|10|4368|doi:10.1039/D3QO00908D
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.cc2gfyrm
title: CCDC 2277531: Experimental Crystal Structure Determination

description: Related Article: shipeng chen|2023|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: 10.5281/zenodo.8274628
title: Tornado Detection From Full-Resolution Polarimetric Weather Radar Data (SAMPLE)

description: This dataset contains a small sample of the tornado dataset described in the talk "A Tornado Detection Algorithm using Deep Neural Networks, Full-Resolution Polarimetric Weather Radar Data, and Explainable AI" presented at the 40th Conference on Radar Meteorology on Aug 31st 2023. The files contained in this data represent approximately 1% of the full dataset that will be released upon final publication. For questions please contact James.Kurdzo@ll.mit.edu and mark.veillette@ll.mit.edu
DOI: 10.5281/zenodo.8274627
title: Tornado Detection From Full-Resolution Polarimetric Weather Radar Data (SAMPLE)

description: This dataset contains a small sample of the tornado dataset described in the talk "A Tornado Detection Algorithm using Deep Neural Networks, Full-Resolution Polarimetric Weather Radar Data, and Explainable AI" presented at the 40th Conference on Radar Meteorology on Aug 31st 2023. The files contained in this data represent approximately 1% of the full dataset that will be released upon final publication. For questions please contact James.Kurdzo@ll.mit.edu and mark.veillette@ll.mit.edu
DOI: 10.5281/zenodo.8274661
title: accipiter_badius_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8274660
title: accipiter_badius_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.18120/q0r2-ax64
title: Test_subproject
DOI: 10.3886/e151921v1-141050
title: Historical Home Mortgage Disclosure Act (HMDA) Data

description: Historical Home Mortgage Disclosure Act (HMDA) Data FilesThe Home Mortgage Disclosure Act (HMDA) is a near census of mortgage lending activity in the United States implemented by the Federal Reserve Board's Regulation C. Under HMDA, financial institutions are required to submit detailed records on loan applications and their ultimate outcomes, viz. origination, denial, application withdrawal, etc. HMDA forms the backbone of analysis into U.S. mortgage markets by providing detailed information about mortgage borrowers, lenders, and properties.<br><br>Since 2006, the HMDA data were published by the Federal Financial Institutions Examination Council (FFIEC) in an accessible format (CSV). Prior to 2006, the data are only available from the National Archives in fixed-width text format. This project seeks to convert the data prior to 2006 into a more accessible delimited format for easier analysis into historical mortgage market trends.<br><br> These data are provided as-is. I will continue to refine these data over time to provide the most accurate data on historical market trends. All codes will be available on my GitHub account.<br><br><b>Important Note:</b> Since the HMDA data include detailed information on borrowers, loan amounts, and property locations (by census tract) it may be possible (albeit incredibly time and resource intensive) to match the HMDA records with publicly available borrower information. Do not do this. It is unethical to conduct research by identifying individuals from these public data. In fact, in downloading these ICPSR clearly states that one should "not use these datasets for investigation of specific RESEARCH SUBJECTS, except when identification is authorized in writing by ICPSR." The HMDA data are collected and published to further the goal of anti-discrimination in U.S. housing markets. Using the data to re-identify borrowers is clearly a violation of this objective.<br>
description: Smallest Geographic Unit: Census Tract
DOI: 10.26207/ppqc-7d70
title: Data for "Effect of Grain Shape and Relative Humidity on the Nonlinear Elastic Properties of Granular Media"
DOI: 10.5281/zenodo.8274678
title: accipiter_francesiae_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8274677
title: accipiter_francesiae_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.3761562.v2685
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.15482/usda.adc/1529432
title: Data from: An Exploratory Analysis of Barriers to Usage of the USDA Dietary Guidelines for Americans

description: The average American’s diet does not align with the Dietary Guidelines for Americans (DGA) provided by the U.S. Department of Agriculture and the U.S. Department of Health and Human Services (2020). The present study aimed to compare fruit and vegetable consumption among those who had and had not heard of the DGA, identify characteristics of DGA users, and identify barriers to DGA use. A nationwide survey of 943 Americans revealed that those who had heard of the DGA ate more fruits and vegetables than those who had not. Men, African Americans, and those who have more education had greater odds of using the DGA as a guide when preparing meals relative to their respective counterparts. Disinterest, effort, and time were among the most cited reasons for not using the DGA. Future research should examine how to increase DGA adherence among those unaware of or who do not use the DGA.
Comparative analyses of fruit and vegetable consumption among those who were aware/unaware and use/do not use the DGA were completed using independent samples t tests. Fruit and vegetable consumption variables were log-transformed for analysis.   Binary logistic regression was used to examine whether demographic features (race, gender, and age) predict DGA awareness and usage. Data were analyzed using SPSS version 28.1 and SAS/STAT® version 9.4 TS1M7 (2023 SAS Institute Inc).
DOI: 10.5281/zenodo.8257072
title: Transient Injection of Flow: How Torn and Bent Subducting Slabs Induce Unusual Mantle Circulation Patterns near a flat slab

description: This repository provides the input (.prm) files for the paper "Transient Injection of Flow: How Torn and Bent Slabs Induce Unusual Mantle Circulation Patterns near a flat slab".
DOI: 10.25345/c51j97j76
title: MassIVE MSV000092723 - NAU Frontal Cortex Alzheimer's Study 2023
title: A 52-week long longitudinal study was carried out in an Alzheimer's mouse model versus control.
DOI: 10.6084/m9.figshare.24012420.v1
title: data for 03_fringes

description: see repo for info
DOI: 10.6084/m9.figshare.24012420
title: data for 03_fringes

description: see repo for info
DOI: 10.6084/m9.figshare.24012423
title: data for 04_intf_imbalance

description: see repo for info
DOI: 10.6084/m9.figshare.24012423.v1
title: data for 04_intf_imbalance

description: see repo for info
DOI: 10.6084/m9.figshare.24012429
title: data for 05_channel_jsi

description: see repo for info
DOI: 10.6084/m9.figshare.24012444
title: data for 06_jsi_model

description: see repo for info
DOI: 10.6084/m9.figshare.24012444.v1
title: data for 06_jsi_model

description: see repo for info
DOI: 10.6084/m9.figshare.24012417
title: data for 02_dm_shg_scan

description: see repo for info
DOI: 10.6084/m9.figshare.24012417.v1
title: data for 02_dm_shg_scan

description: see repo for info
DOI: 10.6084/m9.figshare.24012450
title: data for 07_spdc_filter_spectrums

description: see repo for info
DOI: 10.6084/m9.figshare.24012450.v1
title: data for 07_spdc_filter_spectrums

description: see repo for info
DOI: 10.6084/m9.figshare.24012453
title: data for 08_time_walk_decoding

description: see repo for info
DOI: 10.18739/a2zp3w22h
title: Arctic Great Rivers Observatory Data 2003-2019 Fixed Data Package

description: These data are associated with a manuscript under consideration for publication, and are therefore provided as a fixed data package. The continually updated ArcticGRO data package can be found at the Arctic Data Center doi:10.18739/A2XW47X7D In summer 2003, the Arctic Great Rivers Observatory (ArcticGRO) began to collect the first methodologically-consistent series of river water chemistry samples at downstream sites on the six largest rivers draining to the Arctic Ocean: the Ob’, Yenisey, Lena, and Kolyma in Russia, and the Yukon and Mackenzie in North America. These measurements have continued largely uninterrupted to this day. This data package is associated with a publication that presents the first comprehensive time series analysis of this nearly 20-year dataset. Details on sample collection and analyses are provided in the “methods” section, below.
DOI: 10.5281/zenodo.4699355
title: MS2DeepScore model trained on allGNPS positive ionmode dataset

description: MS2DeepScore Siamese neural network, trained on cleaned and curated data that was extracted from GNPS on 01/02/2023.
DOI: 10.5281/zenodo.4699356
title: MS2DeepScore model trained on allGNPS positive ionmode dataset

description: MS2DeepScore Siamese neural network, trained on cleaned and curated data that was extracted from GNPS on 25/01/2021.
DOI: 10.5281/zenodo.8274763
title: MS2DeepScore model trained on allGNPS positive ionmode dataset

description: MS2DeepScore Siamese neural network, trained on cleaned and curated data that was extracted from GNPS on 01/02/2023.
DOI: 10.6084/m9.figshare.24012519
title: data for 10_with_without_timewalk

description: see repo for info
DOI: 10.6084/m9.figshare.24012519.v1
title: data for 10_with_without_timewalk

description: see repo for info
DOI: 10.5281/zenodo.8274002
title: Dataset for Interspecies interactions determine growth dynamics of biopolymer degrading populations in microbial communities.

description: This is the dataset (containing raw and annotated image sets, scripts, and growth dynamics)
DOI: 10.5281/zenodo.8274001
title: Dataset for Interspecies interactions determine growth dynamics of biopolymer degrading populations in microbial communities.

description: This is the dataset (containing raw and annotated image sets, scripts, and growth dynamics)
DOI: 10.6084/m9.figshare.24012459
title: data for 09_time_walk_mcr

description: see repo for info
DOI: 10.6084/m9.figshare.24012459.v1
title: data for 09_time_walk_mcr

description: see repo for info
DOI: 10.5517/ccdc.csd.cc2fypsw
title: CCDC 2262869: Experimental Crystal Structure Determination

description: Related Article: Chiyi Wang, Zihan Li, Shuyang Zhou, Jinqiu Fu, Jingjing Zhao, Yihang Hou, Yuzhong Shi, Wei Zhuang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2023|Cryst.Growth Des.|23|5509|doi:10.1021/acs.cgd.3c00150
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.cc2fytw3
title: CCDC 2262996: Experimental Crystal Structure Determination

description: Related Article: Yu-Chen Fang, Jia-He Chen, Ren-Feng Xiu, Li-Ren Zhang, Fang-Hua Zheng, Yong-Zheng Chen, Zi-Wei Gao, Wen-Yong Han|2023|Org.Chem.Front.|10|3752|doi:10.1039/D3QO00764B
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.cc2fzqz4
title: CCDC 2263867: Experimental Crystal Structure Determination

description: Related Article: Toshiro Takao, Taichi Monoe, Ryuichi Shimogawa, Keigo Nakamura|2023|Organometallics|42|2087|doi:10.1021/acs.organomet.3c00254
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.cc2fzr06
title: CCDC 2263868: Experimental Crystal Structure Determination

description: Related Article: Toshiro Takao, Taichi Monoe, Ryuichi Shimogawa, Keigo Nakamura|2023|Organometallics|42|2087|doi:10.1021/acs.organomet.3c00254
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.cc2fzr17
title: CCDC 2263869: Experimental Crystal Structure Determination

description: Related Article: Toshiro Takao, Taichi Monoe, Ryuichi Shimogawa, Keigo Nakamura|2023|Organometallics|42|2087|doi:10.1021/acs.organomet.3c00254
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.cc2fzr28
title: CCDC 2263870: Experimental Crystal Structure Determination

description: Related Article: Toshiro Takao, Taichi Monoe, Ryuichi Shimogawa, Keigo Nakamura|2023|Organometallics|42|2087|doi:10.1021/acs.organomet.3c00254
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.