cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/vx5ozn
title: Supplementary Information no4.pdf

description: Exclusion of four assigned sea trout from further statistical analyses.
DOI: 10.57745/khjcyu
title: data_PDOcheeses_LCIA.tab

description: All LCIA results calculated using the characterization method “EF 3.0 Method (adapted) V1.00 / EF 3.0 normalisation and weighting set”
DOI: 10.57745/n6y641
title: data_PDOcheeses_allocations.tab

description: Allocation factors estimated and used for the steps before skimming, for the steps from skimming to draining, and for the steps after draining for each cheese
DOI: 10.57745/oxvf1n
title: data_PDOcheeses_LCI.tab

description: Inventory data for all steps of the production of each cheese for two ripening scenarios, calculated for a FU of 1 kg of cheese at the end of the ripening step
DOI: 10.57745/tm4gbj
title: data_PDOcheeses_coproducts.tab

description: Mass of the co-products (cream and whey) associated with the production of 1 kg of each cheese
DOI: 10.57745/wauluh
title: data_PDOcheeses_characterization.tab

description: Data on the cheese technology, milk type (cow, goat, sheep), and ripening time of each cheese studied
DOI: 10.57745/8jqpd1
title: data_PDOcheeses_specifications.tab

description: Links to the PDO specifications of all cheeses
DOI: 10.57745/8lyuew
title: data_PDOcheeses_datasheets.tab

description: Links to datasheets used for LCI related to equipment used for milk pumping and milk processing
DOI: 10.57745/hglazw
title: data_PDOcheeses_distances.tab

description: Maximal distance allowed to transport milk and/or cheese to be ripened, estimated on google maps according to the geographical area authorized in specifications
DOI: 10.57745/igxwc0
title: data_PDOcheeses_LCI.tab

description: Inventory data for all steps of the production of each cheese for two ripening scenarios, calculated for a FU of 1 kg of cheese at the end of the ripening step. The data_PDOcheeses_LCI dataset was updated after a mistake related to the wood data was found. The data are now consistent with those used in the simapro project.
DOI: 10.5281/zenodo.5965023
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>HowToProcess_SliceDice.txt</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
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.7110672
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>HowToProcessSliceAndDice.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.7110736
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>HowToProcessSliceAndDice.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.7112198
title: Water, acetonitrile, and methanol MD simulations driven by many-body ML potentials

description: Input, output, and trajectories of molecular dynamics (MD) simulations of water, acetonitrile, and methanol. Simulations were driven by many-body machine learning (mbML) potentials including explicit 1-, 2-, and 3-body contributions. GDML, GAP, and SchNet models are provided in a separate repository. All simulations were performed in the atomic simulation environment (ASE). Analyses including radial distribution function (rdf) curves are provided here. <strong>Manifest</strong> The following simulations are included in this repository for each solvent. 1 ps hexamer NVE MD simulation driven by MP2/def2-TZVP (in ORCA v4.2.0), mbGDML, mbGAP, mbSchNet, and GFN2-xTB started with the same positions and velocities. Velocities were initialized at 298.15 K with a Maxwell-Boltzmann distribution. Periodic NVT MD simulation at 298.15 K for 10 or 30 ps with a 1 fs time step driven by mbGDML. These simulations contained 58 or <strong>137</strong> water molecules, <strong>67</strong> or 122 acetonitrile molecules, <strong>61</strong> methanol molecules. Systems that are not bolded were used for testing purposes.
DOI: 10.5281/zenodo.7112197
title: Water, acetonitrile, and methanol MD simulations driven by many-body ML potentials

description: Input, output, and trajectories of molecular dynamics (MD) simulations of water, acetonitrile, and methanol. Simulations were driven by many-body machine learning (mbML) potentials including explicit 1-, 2-, and 3-body contributions. GDML, GAP, and SchNet models are provided in a separate repository. All simulations were performed in the atomic simulation environment (ASE). Analyses including radial distribution function (rdf) curves are provided here. <strong>Manifest</strong> The following simulations are included in this repository for each solvent. 1 ps hexamer NVE MD simulation driven by MP2/def2-TZVP (in ORCA v4.2.0), mbGDML, mbGAP, mbSchNet, and GFN2-xTB started with the same positions and velocities. Velocities were initialized at 298.15 K with a Maxwell-Boltzmann distribution. Periodic NVT MD simulation at 298.15 K for 10 or 30 ps with a 1 fs time step driven by mbGDML. These simulations contained 58 or <strong>137</strong> water molecules, <strong>67</strong> or 122 acetonitrile molecules, <strong>61</strong> methanol molecules. Systems that are not bolded were used for testing purposes.
DOI: 10.6084/m9.figshare.21201616.v2
title: Hammond_et-al_2019_Microglia_anndata_Objects

description: Single cell anndata objects for data in: Hammond TR, Dufort C, Dissing-Olesen L, Giera S, Young A, Wysoker A, Walker AJ, Gergits F, Segel M, Nemesh J, Marsh SE, Saunders A, Macosko E, Ginhoux F, Chen J, Franklin RJM, Piao X, McCarroll SA, Stevens B (2019). Single-Cell RNA Sequencing of Microglia throughout the Mouse Lifespan and in the Injured Brain Reveals Complex Cell-State Changes. <em><strong>Immunity</strong></em><strong>,</strong> 50(1):253–271.e6. doi.org/10.1016/j.immuni.2018.11.004. PMID: 30471926. <br> <strong>Using Objects:</strong> See
DOI: 10.3886/e118346v1
title: Early deposit for a paper

description: This repository contains early files for a paper. They are not the final accepted versions, and are listed here only for transparency. The final accepted deposit can be found at https://doi.org/10.3886/E119547V3.
DOI: 10.6084/m9.figshare.21207434.v2
title: BMJ_EBM_APPENDIX_4-_10_AF_STUDY_COMBINED_short FINAL.xlsx

description: Appendix 4-10 http://dx.doi.org/10.1136/bmjebm-2022-112004
DOI: 10.6084/m9.figshare.21207656
title: In vitro ascorbic acid sensitivity_FigShare_2022.xlsx

description: In vitro ascorbic acid senstivity of <em>Macrophomina phaseolina </em>isolates.
DOI: 10.6084/m9.figshare.21207656.v1
title: In vitro ascorbic acid sensitivity_FigShare_2022.xlsx

description: In vitro ascorbic acid senstivity of <em>Macrophomina phaseolina </em>isolates.
DOI: 10.6084/m9.figshare.21207650
title: PacBio reads for Dehalobacterium formicoaceticum strain EZ94

description: PacBio reads for Dehalobacterium formicoaceticum strain EZ94
DOI: 10.6084/m9.figshare.21207650.v1
title: PacBio reads for Dehalobacterium formicoaceticum strain EZ94

description: PacBio reads for Dehalobacterium formicoaceticum strain EZ94
DOI: 10.6084/m9.figshare.20044727
title: Single crystal XRD raw data for the paper “Hydrous peridotitic fragments of Earth’s mantle 660 km discontinuity sampled by a diamond”

description: Single crystal XRD raw data collected at University of Padova for inclusions in a 1.5 ct gem diamond
DOI: 10.6084/m9.figshare.20375850.v1
title: Dataset Distinct impacts of resource restriction and warming on growth and survival

description: This file contains the data and scripts used in the article "Distinct_impacts_of_resource_restriction_and_warming_on_growth_and_survival". Growth and survival data are available in df_growth.csv and df_survival.csv. In these files, "age" is the age of the fish, "temp" is the rearing temperature (20 °C or 30 °C), "resource" is the feeding modality (ad libitum ad or restriction res), "condition" is the combination of temperature and resource modalities, "length_mm" is the fish size and "event" is the survival modality (1 = dead, 0 = alive). The scripts 01_growth.R and 02_survival.R analyze the growth and survival curves. The 02_survival.R script uses the model written in bayesian_model.txt.
DOI: 10.34740/kaggle/dsv/4252273
title: Mahanagar Yatayat Dataset
DOI: 10.5517/ccdc.csd.cc26pmp7
title: CCDC 2046579: Experimental Crystal Structure Determination

description: Related Article: Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan, Zhan-Guo Jiang, Quan-Ming Wang|2021|Angew.Chem.,Int.Ed.|60|14415|doi:10.1002/anie.202103290
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.cc2b82j7
title: CCDC 2152718: Experimental Crystal Structure Determination

description: Related Article: Shu-Qin Qin, Qian-Ying Gan, Wei Xu, Ren-Wang Jiang|2022|CrystEngComm|24|4144|doi:10.1039/D2CE00228K
description: Related Article: Shu-Qin Qin, Qian-Ying Gan, Wei Xu, Ren-Wang Jiang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b82k8
title: CCDC 2152719: Experimental Crystal Structure Determination

description: Related Article: Shu-Qin Qin, Qian-Ying Gan, Wei Xu, Ren-Wang Jiang|2022|CrystEngComm|24|4144|doi:10.1039/D2CE00228K
description: Related Article: Shu-Qin Qin, Qian-Ying Gan, Wei Xu, Ren-Wang Jiang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b9n6j
title: CCDC 2154227: Experimental Crystal Structure Determination

description: Related Article: Jintao Wang, Yang Yu, Anan Wu, Khai Chen Tan, Hui Wu, Teng He, Ping Chen|2022|ACS Applied Materials and Interfaces|14|41095|doi:10.1021/acsami.2c12322
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.21207677
title: Soybean cut-stem assay

description: Influence of ascorbic acid treatment on <em>Macrophomina phaseolina</em> lesion lesion development in a cut-stem assay.
DOI: 10.6084/m9.figshare.21207677.v2
title: Soybean cut-stem assay

description: Influence of ascorbic acid treatment on <em>Macrophomina phaseolina</em> lesion lesion development in a cut-stem assay.
DOI: 10.6084/m9.figshare.21207677.v1
title: Untitled Item

description: Influence of ascorbic acid treatment on <em>Macrophomina phaseolina</em> lesion lesion development in a cut-stem assay.
DOI: 10.6084/m9.figshare.21207707
title: H2O2 absorbance

description: H<sub>2</sub>O<sub>2</sub> absorbance in soybean stem tissue after inoculation with <em>Macrophomina phaseolina</em> or control and with pre-treatment with ascorbic acid.
DOI: 10.6084/m9.figshare.21207707.v1
title: H2O2 absorbance

description: H<sub>2</sub>O<sub>2</sub> absorbance in soybean stem tissue after inoculation with <em>Macrophomina phaseolina</em> or control and with pre-treatment with ascorbic acid.
DOI: 10.5281/zenodo.7113282
title: Gregoriev firn data

description: Firn core and thermistor data measured in 2018 within the PhD Thesis 'Changing glacier firn in Central Asia and its impact on glacier mass balance' by Marlene Kronenberg (2022). Kronenberg Marlene. (2022). Changing glacier firn in Central Asia and its impact on glacier mass balance. PhD thesis, University of Fribourg.
description: The measurements were financed by the Swiss National Science Foundation (SNSF), grant 200021_169453 and the Project CICADA (Cryospheric Climate Services for improved Adaptation, contract no. 81049674 between the Swiss Agency for Development and Cooperation and the University of Fribourg).
DOI: 10.5281/zenodo.7113281
title: Gregoriev firn data

description: Firn core and thermistor data measured in 2018 within the PhD Thesis 'Changing glacier firn in Central Asia and its impact on glacier mass balance' by Marlene Kronenberg (2022). Kronenberg Marlene. (2022). Changing glacier firn in Central Asia and its impact on glacier mass balance. PhD thesis, University of Fribourg.
description: The measurements were financed by the Swiss National Science Foundation (SNSF), grant 200021_169453 and the Project CICADA (Cryospheric Climate Services for improved Adaptation, contract no. 81049674 between the Swiss Agency for Development and Cooperation and the University of Fribourg).
DOI: 10.18112/openneuro.ds004278.v1.0.0
title: Sustained Neural Representations of Personally Familiar People and Places During Cued Recall
DOI: 10.34740/kaggle/dsv/4252347
title: Tales from the Pizza Guy
DOI: 10.6084/m9.figshare.21207659
title: Resilience-robust policy design for coupled human-water systems

description: This project provides a resilience-based framework to identify optimal solutions for a coupled human-water system in response to various future socioeconomic and climate forcing scenarios, which are represented by a set of downscaled shared socioeconomic pathways (SSP) scenarios. We developed an integrated system dynamic model to evaluate potential solutions for water extractions and their robustness in accordance with five resilience objectives. Using the Rechna Doab region of Pakistan as a real-world example of a coupled human-water system, the system's response to socioeconomic and climate stressors is evaluated.
DOI: 10.6084/m9.figshare.21207659.v1
title: Resilience-robust policy design for coupled human-water systems

description: This project provides a resilience-based framework to identify optimal solutions for a coupled human-water system in response to various future socioeconomic and climate forcing scenarios, which are represented by a set of downscaled shared socioeconomic pathways (SSP) scenarios. We developed an integrated system dynamic model to evaluate potential solutions for water extractions and their robustness in accordance with five resilience objectives. Using the Rechna Doab region of Pakistan as a real-world example of a coupled human-water system, the system's response to socioeconomic and climate stressors is evaluated.
DOI: 10.6084/m9.figshare.21108301.v1
title: A mixed mycorrhizal strategy for shaping seedling diversity in a subtropical forest

description: This is the R language code and data for the methods section of an article. Title: A mixed mycorrhizal strategy for shaping seedling diversity in a subtropical forest.