cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7113769
title: Supporting data for manuscript describing Slice and Dice method to measure NMR relaxation with nested experiments

description: This is a supporting dataset for the manuscript "Slice and Dice: Nested Spin-lattice Relaxation Measurements" by W. Trent Franks, Jacqueline Tognetti and Józef R. Lewandowski. <strong>NMR_data.zip : </strong>Raw NMR data in the Bruker format for the experiments presented in the manuscript. The file expands to a directory called "Raw NMR Data" that contains: ReadMe_NMR_data.txt - describing the datasets included in the file. Record 1: <sup>13</sup>C<sup>\(^\alpha\)</sup> individual experiment. Pulse program name: hRCH_CT1 Record 2: <sup>13</sup>C' individual experiment. Pulse program name: hCOcaH_SP_T1 Record 3: <sup>15</sup>N individual experiment. Pulse program name: hRNH_NT1b Record 10: <sup>13</sup>C\(^\alpha\) + <sup>13</sup>C' + <sup>15</sup>N Slice & Dice experiment. Pulse program name: hR[COca,Ca,N]Ha_T10818 corresponding to the final sequence: hR[N,COca,Ca]HR_T1 <strong>Pulse_program.zip</strong>: The pulse program and include file for the Slice and Dice experiment described in the manuscript. The pulse program in Bruker format (war.hR[COca,Ca,N]H_T1 - this is a text file that can be opened with any text editor) was tested on a Bruker Avance III HD console. Both the pulse program file, war.hR[COca,Ca,N]H_T1, and include file, HCN_defs.incl, need to be placed in the pulse program directory (/opt/topspinXX/exp/stan/nmr/lists/pp/user where XX is replaced with the version of Topspin). The file expands to a directory "Pulse_program_incl" that contains: war.hR[COca,Ca,N]H_T1 - pulse program HCN_defs.incl - include file ReadMe_SliceDice_pp.txt - details on how to set up the experiment. <strong>HowToProcessSliceAndDice.pdf</strong> : Instructions on how to process Slice and Dice experiment in Topspin. <strong>MultiR1list.zip: </strong>A program written in Python 3 required to calculate delay lists for the nested experiment to be included in the pulse program. The file expands to a directory MultiT1list directory that contains: MultiT1list.py - the program ReadMe_MultiT1list.txt - instructions on how to use the program <strong>SNDProcguide.py.zip</strong>: A program written in Python 2 (SNDProcguideV2.py), which generates macro for processing and sorting 2D planes in Topspin. The script also provides some tips on setting parameters for different 2Ds and sorted lists of relaxation delays. Example output of the script is also included. The parameters in the script are set for the supplied example data. <strong>HowToProcess.mp4</strong> - a video working through an example of processing Slice and Dice data.
description: The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement 639907. J.R.L. also acknowledges funding from BBSRC Grant BB/R010218/1. Jacqueline Tognetti thanks EPSRC for a PhD studentship through the EPSRC Centre for Doctoral Training in Molecular Analytical Science, grant number EP/L015307/1.
DOI: 10.5281/zenodo.5965022
title: Supporting data for manuscript describing Slice and Dice method to measure NMR relaxation with nested experiments

description: This is a supporting dataset for the manuscript "Slice and Dice: Nested Spin-lattice Relaxation Measurements" by W. Trent Franks, Jacqueline Tognetti and Józef R. Lewandowski. <strong>NMR_data.zip : </strong>Raw NMR data in the Bruker format for the experiments presented in the manuscript. The file expands to a directory called "Raw NMR Data" that contains: ReadMe_NMR_data.txt - describing the datasets included in the file. Record 1: <sup>13</sup>C<sup>\(^\alpha\)</sup> individual experiment. Pulse program name: hRCH_CT1 Record 2: <sup>13</sup>C' individual experiment. Pulse program name: hCOcaH_SP_T1 Record 3: <sup>15</sup>N individual experiment. Pulse program name: hRNH_NT1b Record 10: <sup>13</sup>C\(^\alpha\) + <sup>13</sup>C' + <sup>15</sup>N Slice & Dice experiment. Pulse program name: hR[COca,Ca,N]Ha_T10818 corresponding to the final sequence: hR[N,COca,Ca]HR_T1 <strong>Pulse_program.zip</strong>: The pulse program and include file for the Slice and Dice experiment described in the manuscript. The pulse program in Bruker format (war.hR[COca,Ca,N]H_T1 - this is a text file that can be opened with any text editor) was tested on a Bruker Avance III HD console. Both the pulse program file, war.hR[COca,Ca,N]H_T1, and include file, HCN_defs.incl, need to be placed in the pulse program directory (/opt/topspinXX/exp/stan/nmr/lists/pp/user where XX is replaced with the version of Topspin). The file expands to a directory "Pulse_program_incl" that contains: war.hR[COca,Ca,N]H_T1 - pulse program HCN_defs.incl - include file ReadMe_SliceDice_pp.txt - details on how to set up the experiment. <strong>HowToProcessSliceAndDice.pdf</strong> : Instructions on how to process Slice and Dice experiment in Topspin. <strong>MultiR1list.zip: </strong>A program written in Python 3 required to calculate delay lists for the nested experiment to be included in the pulse program. The file expands to a directory MultiT1list directory that contains: MultiT1list.py - the program ReadMe_MultiT1list.txt - instructions on how to use the program <strong>SNDProcguide.py.zip</strong>: A program written in Python 2 (SNDProcguideV2.py), which generates macro for processing and sorting 2D planes in Topspin. The script also provides some tips on setting parameters for different 2Ds and sorted lists of relaxation delays. Example output of the script is also included. The parameters in the script are set for the supplied example data. <strong>HowToProcess.mp4</strong> - a video working through an example of processing Slice and Dice data.
description: The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement 639907. J.R.L. also acknowledges funding from BBSRC Grant BB/R010218/1. Jacqueline Tognetti thanks EPSRC for a PhD studentship through the EPSRC Centre for Doctoral Training in Molecular Analytical Science, grant number EP/L015307/1.
DOI: 10.25578/jlqxng/apdisj
title: Cob - scenario_evaluation_results_stats.tab

description: :unav
DOI: 10.25578/jlqxng/edbfbu
title: RammedE - scenario_evaluation_results_stats.tab

description: :unav
DOI: 10.25578/jlqxng/h893zq
title: CEB - scenario_values.tab

description: :unav
DOI: 10.25578/jlqxng/lwydey
title: CEB - scenario_evaluation_results_stats.tab

description: :unav
DOI: 10.25578/jlqxng/r65ezp
title: ADOBE - scenario_evaluation_results_stats.tab

description: :unav
DOI: 10.25578/jlqxng/1smcgm
title: Physical Model.xlsx

description: :unav
DOI: 10.25578/jlqxng/7vwbsp
title: ADOBE - scenario_values.tab

description: :unav
DOI: 10.25578/jlqxng/ns2u99
title: RammedE - scenario_values.tab

description: :unav
DOI: 10.25578/jlqxng/p0oalb
title: READ ME.pdf

description: :unav
DOI: 10.25578/jlqxng/q6ktfy
title: Cob - scenario_values.tab

description: :unav
DOI: 10.25578/jlqxng/tjgwtz
title: READ ME.pdf

description: :unav
DOI: 10.25578/jlqxng
title: Life cycle inventory simulations data for 5,760 earthen walls construction scenarios

description: The objective of this life cycle inventory dataset is to provide concise information that can be translated into an assessment of environmental impacts and thus contribute to the lack of studies and information available on the environmental performance of earthen construction. The detailed description of the developed model is presented in (Higuera 2022). In this document, the data of the life cycle inventories are translated into environmental impacts, which allowed carrying out a contribution analysis to identify which processes and parameters are responsible for the environmental impacts generated by earthen construction techniques. These simulation results are also used to carry out a responsibility analysis in order to identify the actors involved in the generation of impacts as well as the levers of action.
DOI: 10.25578/jlqxng/aeloap
title: READ ME.pdf

description: :unav
DOI: 10.25578/jlqxng/ev7qv6
title: Inventary model.xlsx

description: :unav
DOI: 10.25578/jlqxng/i3yxmu
title: Inventory Model.xlsx

description: :unav
DOI: 10.25578/jlqxng/ifj5qk
title: Table 2. Description of the life cycle data.tab

description: :unav
DOI: 10.25578/jlqxng/nd6tte
title: Table 1. Description of the parameters.tab

description: :unav
DOI: 10.21427/hqpp-x834
title: Corpus of Annotated Irish Traditional Dance Music
DOI: 10.17632/g7nbf5y4tk.1
title: A linguistic profile of narrative speech in early and late Alzheimer's disease

description: This dataset consists of all statistics related to this study!
DOI: 10.17632/z6wz8kpk3n.1
title: DiGesù, Matz, et. al_2022CR

description: We uploaded two Prism (.pzf) files containing all of the primary data collected and analyzed in the manuscript under consideration by Di Gesù, Matz et al. The first file contains the primary data and accompanying analysis of the 16S ribosomal RNA gene amplicon sequencing data, the second contains the primary data and accompanying analysis of the behavioral data. Each worksheet, analysis, and graph in each file is labeled according to the corresponding main or supplemental figure, for ease of access and clarity.
DOI: 10.5255/ukda-sn-855303
title: Nature’s Contribution to Poverty Alleviation, Human Wellbeing and Sustainable Development Goals, 2019–2022

description: This dataset was compiled for analyses in the research project ‘Nature's contribution to poverty alleviation, human wellbeing and the SDGs’ (Nature4SDGs) (NERC Grant NE/S012850/1). The dataset integrates secondary data on rural livelihoods, multi-dimensional human wellbeing, household demographics, resource tenure and social-ecological context across 10,971 households in 232 settlements in ten low- and middle-income countries. It primarily draws upon nine existing household surveys, and their associated site descriptions and qualitative interviews. It also draws upon existing global geospatial datasets to provide further village-level information on the social-ecological context. Using this dataset, the Nature4SDGs project is specifically examining multidimensional wellbeing from the use of uncultivated nature; the role of common pool uncultivated resources in reducing income inequalities; and the consumption of wild protein across different social-ecological contexts.
DOI: 10.6084/m9.figshare.21316485
title: Original data.xlsx

description: Previous studies indicate that exogenous use of glucocorticoid (GC) affects immune checkpoint inhibitor (ICI) efficacy. However, there is a paucity of clinical data evaluating the direct impact of endogenous GC on the efficacy for cancer patients with immune checkpoint blockade.
DOI: 10.6084/m9.figshare.21316485.v1
title: Original data.xlsx

description: Previous studies indicate that exogenous use of glucocorticoid (GC) affects immune checkpoint inhibitor (ICI) efficacy. However, there is a paucity of clinical data evaluating the direct impact of endogenous GC on the efficacy for cancer patients with immune checkpoint blockade.
DOI: 10.5281/zenodo.7188457
title: TCR repertoire sequencing related to "Unique roles of coreceptor-bound LCK in helper and cytotoxic T cells"

description: This archive contains datasets needed for recapitulating the analysis of TCR repertoires for the manuscript <em>“Unique roles of coreceptor-bound LCK in helper and cytotoxic T cells”</em> by Horkova et al., 2022. The code for the analysis can be found on GitHub: https://github.com/Lab-of-Adaptive-Immunity/lck-tcrseq. Raw data are deposited in the SRA (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA872031). The Zenodo archive contains the following files, which are needed to run the analysis script: merged outputs from MiXCR <code>merged_TCR_repertoires.csv</code> metadata file <code>metadata_Lck.csv</code> TRA and TRB repertoires prepared for processing with the Immunarch package <code>immdata_tra.rds</code>, <code>immdata_trb.rds</code>
DOI: 10.5281/zenodo.7188456
title: TCR repertoire sequencing related to "Unique roles of coreceptor-bound LCK in helper and cytotoxic T cells"

description: This archive contains datasets needed for recapitulating the analysis of TCR repertoires for the manuscript <em>“Unique roles of coreceptor-bound LCK in helper and cytotoxic T cells”</em> by Horkova et al., 2022. The code for the analysis can be found on GitHub: https://github.com/Lab-of-Adaptive-Immunity/lck-tcrseq. Raw data are deposited in the SRA (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA872031). The Zenodo archive contains the following files, which are needed to run the analysis script: merged outputs from MiXCR <code>merged_TCR_repertoires.csv</code> metadata file <code>metadata_Lck.csv</code> TRA and TRB repertoires prepared for processing with the Immunarch package <code>immdata_tra.rds</code>, <code>immdata_trb.rds</code>
DOI: 10.5517/ccdc.csd.cc2bbc8b
title: CCDC 2154911: Experimental Crystal Structure Determination

description: Related Article: Vanna Blasczak, Meaghan McKinnon, Lisa Suntrup, Nur Alisa Aminudin, Blake Reed, Stanislav Groysman, Mehmed Z. Ertem, David C. Grills, Jonathan Rochford|2022|Inorg.Chem.|61|15784|doi:10.1021/acs.inorgchem.2c02586
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.cc2bfwth
title: CCDC 2158307: Experimental Crystal Structure Determination

description: Related Article: Suresh Kumar Yadav, Masilamani Jeganmohan|2022|J.Org.Chem.|87|13073|doi:10.1021/acs.joc.2c01588
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.cc2bs1v1
title: CCDC 2168073: Experimental Crystal Structure Determination

description: Related Article: Yuan Chen, Ao-gang Liu, Peng-da Liu, Zhen-yi Zhang, Fan Yu, Wei Qi, Bao Li|2022|Inorg.Chem.|61|16009|doi:10.1021/acs.inorgchem.2c02386
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.cc2c0gql
title: CCDC 2175199: Experimental Crystal Structure Determination

description: Related Article: Liana Ribeiro Gouveia, Elon A. Ison|2022|Organometallics|41|2678|doi:10.1021/acs.organomet.2c00261
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.cc2c0grm
title: CCDC 2175200: Experimental Crystal Structure Determination

description: Related Article: Liana Ribeiro Gouveia, Elon A. Ison|2022|Organometallics|41|2678|doi:10.1021/acs.organomet.2c00261
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.cc2c0gsn
title: CCDC 2175201: Experimental Crystal Structure Determination

description: Related Article: Liana Ribeiro Gouveia, Elon A. Ison|2022|Organometallics|41|2678|doi:10.1021/acs.organomet.2c00261
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.cc2c1t3c
title: CCDC 2176482: Experimental Crystal Structure Determination

description: Related Article: Matthew J. Evans, Andrea O’Reilly, Mathew D. Anker, Martyn P. Coles|2022|Organometallics|41|2657|doi:10.1021/acs.organomet.2c00329
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.cc2c3q8h
title: CCDC 2178316: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.7188433
title: Automatic unsupported electromembrane extraction followed by on-line electrochemical detection of diclofenac in urine

description: Raw voltammograms (including calibration) of data presented in Table 1 of the article entitled "Programmable millifluidic platform integrating automatic electromembrane extraction clean-up and in-line electrochemical detection: A proof of concept"<strong> </strong>published in ACS Sensors (10.1021/acssensors.2c01648)
DOI: 10.5281/zenodo.7188434
title: Automatic unsupported electromembrane extraction followed by on-line electrochemical detection of diclofenac in urine

description: Raw voltammograms (including calibration) of data presented in Table 1 of the article entitled "Programmable millifluidic platform integrating automatic electromembrane extraction clean-up and in-line electrochemical detection: A proof of concept"<strong> </strong>published in ACS Sensors (10.1021/acssensors.2c01648)
DOI: 10.5517/ccdc.csd.cc2c3q9j
title: CCDC 2178317: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3qbk
title: CCDC 2178318: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3qcl
title: CCDC 2178319: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3qdm
title: CCDC 2178320: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3qfn
title: CCDC 2178321: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3qgp
title: CCDC 2178322: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3qhq
title: CCDC 2178323: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3qjr
title: CCDC 2178324: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.