cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15131/shef.data.24886476
title: Comparing XR and Digital Flipped Methods to Meet Learning Objectives - Main Study Data 2023

description: The attached data and statistical analysis is used in a study that compares three digital-based learning simulations to see which has the most beneficial effect on practical student laboratory experiences. Engineering students were allocated a grouping that exposed them to one of three forms of digital “pre-lab” laboratory simulation and their academic performance was assessed following the physical laboratory. The three forms were a 2D photography-based “iLabs” simulation, a web-based “low fidelity” simulator and a Unity immersive Virtual Reality (iVR) lab simulator. All three simulation methods were based on the same empirically derived data that was taken from the same laboratory equipment which the students use in the final part of the study. As a control, another group of students did not receive a pre-lab simulation, just a pre-lab quiz.Ethics application number: 051651
DOI: 10.15131/shef.data.24886476.v1
title: Comparing XR and Digital Flipped Methods to Meet Learning Objectives - Main Study Data 2023

description: The attached data and statistical analysis is used in a study that compares three digital-based learning simulations to see which has the most beneficial effect on practical student laboratory experiences. Engineering students were allocated a grouping that exposed them to one of three forms of digital “pre-lab” laboratory simulation and their academic performance was assessed following the physical laboratory. The three forms were a 2D photography-based “iLabs” simulation, a web-based “low fidelity” simulator and a Unity immersive Virtual Reality (iVR) lab simulator. All three simulation methods were based on the same empirically derived data that was taken from the same laboratory equipment which the students use in the final part of the study. As a control, another group of students did not receive a pre-lab simulation, just a pre-lab quiz.Ethics application number: 051651
DOI: 10.6084/m9.figshare.24960723
title: The equine umbilical cord in clinically healthy pregnancies_Dataset

description: Dataset for the manuscript: Lawson, J.M., Verheyen. K.L., Smith, K.C., Bryan, J.S., Foote, A.K., de Mestre, A.M., 2024, The equine umbilical cord in clinically healthy pregnancies, Equine Veterinary Journal.
DOI: 10.6084/m9.figshare.24960723.v1
title: The equine umbilical cord in clinically healthy pregnancies_Dataset

description: Dataset for the manuscript: Lawson, J.M., Verheyen. K.L., Smith, K.C., Bryan, J.S., Foote, A.K., de Mestre, A.M., 2024, The equine umbilical cord in clinically healthy pregnancies, Equine Veterinary Journal.
DOI: 10.15151/esrf-dc-1443749371
title: Structure formation and structure evolution during high moisture extrusion of soy proteins.

description: There is growing societal awareness that the current agricultural production of animal proteins is ecologically not sustainable. The food industry is now exploring radical new avenues to provide consumers with plant-based meat alternatives. High-moisture extrusion has been adopted as a technology that allows for upscaling and serving a growing market. A limitation of the currently commercially used HME process is the lack of robustness against variations in ingredient and processing conditions. The main cause is a lack of insight into how multiscale protein structures evolve during shear processing. The dead-stop operation is a feasible and effective method to collect material from different extruder and cooling die zones. In this study, we use (U)SAXS to study the evolution of meat analogue structure by sampling material after a dead stop.
DOI: 10.5519/qd.1aopn6y2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1849 records)
DOI: 10.34740/kaggle/dsv/7358196
title: Indian Agriculture Dataset
DOI: 10.5281/zenodo.10467539
title: Data for paper on "Fine-scale hunting strategies in Australian fur seals"

description: raw data files from data loggers deployed on 5 adult female Australian fur seals:



depth, 3 axis acceleration, 3 axis magnetometer, 3 axis gyroscope

at-sea GPS locations
DOI: 10.5281/zenodo.10467540
title: Data for paper on "Fine-scale hunting strategies in Australian fur seals"

description: raw data files from data loggers deployed on 5 adult female Australian fur seals:



depth, 3 axis acceleration, 3 axis magnetometer, 3 axis gyroscope

at-sea GPS locations
DOI: 10.57992/nmrxiv.p53.s276
title: Nitogenin
DOI: 10.57992/nmrxiv.p53.s276.d1619
title: Nitogenin[1]
DOI: 10.57992/nmrxiv.p53.s276.d1620
title: Nitogenin[2]
DOI: 10.57992/nmrxiv.p53.s276.d1621
title: Nitogenin[3]
DOI: 10.57992/nmrxiv.p53.s276.d1622
title: Nitogenin[4]
DOI: 10.57992/nmrxiv.p53.s276.d1623
title: Nitogenin[5]
DOI: 10.57992/nmrxiv.p53.s276.d1624
title: Nitogenin[6]
DOI: 10.6084/m9.figshare.23500512
title: Data from: Response of a pan-European fish index (EFI+) to multiple pressures in rivers across Spain

description: Rivers are ecosystems highly threatened by human activities and fish are an invaluable tool to measure and communicate environmental degradation and restoration. Fish bioassessment is crucial but notoriously difficult in Mediterranean-climate streams for a number of reasons, including low local species richness, faunas with high spatial turnover and generalist species, and scarcity of reference sites. In this study, we conducted the most comprehensive test of the pan-European fish index (EFI+) in the Iberian Peninsula, analysing its response to multiple anthropogenic pressures. We compiled a database, which we provide online, with 2970 electrofishing samples across Spain, involving 100,732 fish of 69 species. Principal component analyses of many quantitative variables were used to create new synthetic anthropogenic pressure indices. Correlation and multiple linear regression analyses were used to test the relationship between these pressures and the fish index (EFI+) and its four individual metrics scores (i.e., density of species intolerant to oxygen depletion, density of fish ≤150 mm of species intolerant to habitat degradation, richness of species of rheophilic reproduction habitat, and density of species of lithophilic reproduction habitat). We also obtained the same models but including the river basin district to test for spatial or methodological differences. Our results indicate that both the EFI+ index and its individual metrics respond to various anthropogenic pressures. These pressures explained about 36% of the variance of EFI+ values. Notably, downstream and mainstream reaches with higher agricultural or urban land uses, increased hydrologic alteration, and water and habitat quality impairment exhibited lower EFI+values. Although less variance was explained for the individual metrics than for the fish index, they responded as expected to the different pressures. For instance, the richness of rheophilic species and the number of lithophilic fish decreased with hydrologic alteration, while the number of fish intolerant to oxygen depletion decreased with water quality impairment. Similar correlations were observed when river basin district was included in the model, but with higher explained variation and greater significance of the pressures. While it is possible to develop regional indices with more metrics and a stronger correlation with anthropogenic pressures, EFI+ is the only fish index that has been validated throughout the Spanish peninsular territory. Our results support the use of EFI+ in intercalibrationexercises across Spain until better regional indices are developed.
DOI: 10.5281/zenodo.10469655
title: Mooring and CTD data at the 79NG calving front

description: This dataset contains:

Mooring data (temperature, salinity and velocities) from the calving front of the 79N Glacier, Northeast Greenland (79.57°N, 19.46°W) from September 2017 - September 2021 (D-structure). The data has been quality controlled.

CTD profiles from a fishing-rod CTD (Sea&Sun) in September 2021. The locations are at the 79NG calving front (F9_1.mat) where the mooring was located, at the shallow sill upstream of the calving front (F9_2.mat), and upstream near the Westwind Trough (F9_3.mat). The data has been averaged over a 1m vertical resolution.
DOI: 10.5281/zenodo.10469656
title: Mooring and CTD data at the 79NG calving front

description: This dataset contains:

Mooring data (temperature, salinity and velocities) from the calving front of the 79N Glacier, Northeast Greenland (79.57°N, 19.46°W) from September 2017 - September 2021 (D-structure). The data has been quality controlled.

CTD profiles from a fishing-rod CTD (Sea&Sun) in September 2021. The locations are at the 79NG calving front (F9_1.mat) where the mooring was located, at the shallow sill upstream of the calving front (F9_2.mat), and upstream near the Westwind Trough (F9_3.mat). The data has been averaged over a 1m vertical resolution.
DOI: 10.57992/nmrxiv.p54.s277
title: Cantharidin
DOI: 10.57992/nmrxiv.p54.s277.d1625
title: Cantharidin[1]
DOI: 10.57992/nmrxiv.p54.s277.d1626
title: Cantharidin[2]
DOI: 10.57992/nmrxiv.p54.s277.d1627
title: Cantharidin[3]
DOI: 10.57992/nmrxiv.p54.s277.d1628
title: Cantharidin[4]
DOI: 10.57992/nmrxiv.p54.s277.d1629
title: Cantharidin[5]
DOI: 10.57992/nmrxiv.p54.s277.d1630
title: Cantharidin[6]
DOI: 10.5281/zenodo.10118726
title: "Towards Improved Understanding of Geospatial XAI: Visualization of Shapley Values  on Geographic Maps"

description: Please see the file Readme.txt
DOI: 10.5281/zenodo.10141810
title: "Towards Improved Understanding of Geospatial XAI: Visualization of Shapley Values  on Geographic Maps"

description: Please see the file Readme.txt
DOI: 10.23708/gpymhx
title: Marine mammal stranding data of New Caledonia: Province Sud (1940-2022)

description: This dataverse contains all the information relating to each stranding of marine mammals listed in the Southern Province of New Caledonia since the 1980s: - stranding files - autopsy report - notes / comments - photos - newspaper articles Since 1991,we attempted to collect information on all stranding events occurring in New Caledonian waters. When examination of the carcass was possible, data were collected following guidelines set up by the French national stranding network, depending on the degree of decay. We recommended at least noting the date, the precise location of the stranding (with geographical coordinates if possible), the state of decomposition of the carcass, the presence of scars that may indicate human interac- tion, the total length of the animal in order to estimate its age-class, photographs, and collection of a skin sample. When possible, teeth, stomach contents, parasites, and tissues (e.g. skin, muscle, liver, kidney) were collected and complete morphological measurements were made. If a veterinarian was available, a necropsy was performed. These data are made available to the French National Stranding Network (RNE: https://www.observatoire-pelagis.cnrs.fr/echouages/reseau-national-echouage/) Ce dataverse contient toutes les informations relatives à chaque échouage de mammifères marins répertorié en Province Sud de Nouvelle-Calédonie depuis les années 1980 : - fiches d'échouage - comptes rendu d'autopsie - notes / commentaires - photos - articles de journaux.
DOI: 10.25345/c5nv99n34
title: MassIVE MSV000093788 - Quantitative analysis of ribosomal protein expression in bacteria
title: Analysis of ribosomal proteins purified as ribosome particles. Two set of samples are available: 1) ribosomes purified from bacteria expressing a sgRNA that does not target any ribosomal RNA gene (control); 2) ribosomes purified from bacteria expression sgRNA targeting three ribosomal RNA genes. The aim of the project is to quantify the peptides and compare both sets of samples. The ribosomes prepared from the bacteria expressing the sgRNA targeting the rRNA genes should be less abundant than in the control samples. The sample set are the following: A-D (four biological replicates) are the samples from the bacteria expressing functional sgRNA downregulating three rRNA genes. E-H (four biologicial replicates) are the control samples from the bacteria expressing sgRNA that do not target rRNA genes. All the sampes were spiked with an almost equivalent amount of ribosomes from a WT strain grown in almost 100% 13C and 15N labelled minimum medium. Ribosomes were purified according to published protocols. Basically, the ribosome particles are sedimented by ultra-centrifugation in a saccharose-rich medium. The recovered pellets were resuspended for electrophoretic migration (stacking gel only) for later in-gel trpsinolysis. The obtained peptides were extracted from the gel according to standard procedures and analysed by LC-MS/MS on a QExactivePlus Orbitrap massspectrometer (Thermo scientific). The raw data were converted to mzXML (raw data files) and processed using our proteomics software suite (i2MassChroQ, see http://pappso.inrae.fr/en/bioinfo/). The database search engine was X!Tandem, that produces, for each MS run file analyzed, a corresponding XML file, that we submit here as the identification data files). The X!Tandem program was configured to run without accounting for labelled peptides first (one set of "light-only" XML files were thus generated by X!Tandem). Then, X!Tandem was configured in the preset configuration to account for all the residues labelled 100% with 13C and 15N (one set of "heavy-only" XML files were thus generated by X!Tandem). We loaded first the "light-only" X!Tandem-generated XML files in i2MassChroq, checked the quality of the data and wrote to disk an XPIP (i2MassChroq project file) file for the four replicates of both sample sets all taken together. Then we did this likewise for the "heavy-only" X!Tandem-generated XML files (at this time we configure i2MassChroQ to look for heavy-isotope labelled peptides). We finally open the two XPIP files (light-only and heavy-only) and save the combination of the data to a new XPIP file (light-and-heavy). The quantitative analysis was performed inside the i2MassChroq's MassChroQ module with is then directed to write a spreadsheet file with all the identification/quantification of the peptides/proteins. That spreadsheet file was then used within GNU-R to perform data reformatting and MSstats-based protein quantification work.
DOI: 10.3886/e161861
title: Data and Code for: The Correlation of Net and Gross Wealth across Generations: The Role of Parent Income and Child Age

description: We use Danish Register Data to examine intergenerational rank-rank correlations in net wealth and gross housing wealth by child age and parental income. Our results indicate that gross housing wealth correlations are more stable by child age than are net wealth correlations, which we argue is due to a downward bias in net wealth correlations from transitory debt. Intergenerational housing wealth correlations also are larger for lower-income families, while net wealth correlations do not vary much across the income distribution. Finally, we show that intergenerational net wealth and gross housing wealth correlations move in opposite directions across the income distribution.
DOI: 10.3886/e161861v1
title: Data and Code for: The Correlation of Net and Gross Wealth across Generations: The Role of Parent Income and Child Age

description: We use Danish Register Data to examine intergenerational rank-rank correlations in net wealth and gross housing wealth by child age and parental income. Our results indicate that gross housing wealth correlations are more stable by child age than are net wealth correlations, which we argue is due to a downward bias in net wealth correlations from transitory debt. Intergenerational housing wealth correlations also are larger for lower-income families, while net wealth correlations do not vary much across the income distribution. Finally, we show that intergenerational net wealth and gross housing wealth correlations move in opposite directions across the income distribution.
DOI: 10.6084/m9.figshare.24917313
title: ccc

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index” .
DOI: 10.6084/m9.figshare.24917313.v1
title: A deep learning-based method for predicting the emerging degree of research topics using emerging index

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index” .
DOI: 10.6084/m9.figshare.24917313.v2
title: ccc

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index” .
DOI: 10.6084/m9.figshare.24955833
title: A deep learning-based method for predicting the emerging degree of research topics using emerging index

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index” .
DOI: 10.6084/m9.figshare.24955833.v1
title: A deep learning-based method for predicting the emerging degree of research topics using emerging index

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index” .
DOI: 10.5517/ccdc.csd.cc2bqdn4
title: CCDC 2166486: Experimental Crystal Structure Determination

description: Related Article: Yu Zhang, Guisheng Deng|2023|J.Org.Chem.|88|16742|doi:10.1021/acs.joc.3c01169
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.cc2d4hrt
title: CCDC 2208866: Experimental Crystal Structure Determination

description: Related Article: Lucy A. Harwood, Ziyue Xiong, Kirsten E. Christensen, Ruiyao Wang, Luet L. Wong, Jeremy Robertson|2023|J.Am.Chem.Soc.|145|27767|doi:10.1021/jacs.3c10542
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.cc2d4hsv
title: CCDC 2208867: Experimental Crystal Structure Determination

description: Related Article: Lucy A. Harwood, Ziyue Xiong, Kirsten E. Christensen, Ruiyao Wang, Luet L. Wong, Jeremy Robertson|2023|J.Am.Chem.Soc.|145|27767|doi:10.1021/jacs.3c10542
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.cc2d4htw
title: CCDC 2208868: Experimental Crystal Structure Determination

description: Related Article: Lucy A. Harwood, Ziyue Xiong, Kirsten E. Christensen, Ruiyao Wang, Luet L. Wong, Jeremy Robertson|2023|J.Am.Chem.Soc.|145|27767|doi:10.1021/jacs.3c10542
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.cc2d4hvx
title: CCDC 2208869: Experimental Crystal Structure Determination

description: Related Article: Lucy A. Harwood, Ziyue Xiong, Kirsten E. Christensen, Ruiyao Wang, Luet L. Wong, Jeremy Robertson|2023|J.Am.Chem.Soc.|145|27767|doi:10.1021/jacs.3c10542
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.cc2d4hxz
title: CCDC 2208871: Experimental Crystal Structure Determination

description: Related Article: Lucy A. Harwood, Ziyue Xiong, Kirsten E. Christensen, Ruiyao Wang, Luet L. Wong, Jeremy Robertson|2023|J.Am.Chem.Soc.|145|27767|doi:10.1021/jacs.3c10542
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.cc2dpwcc
title: CCDC 2225563: Experimental Crystal Structure Determination

description: Related Article: Yanxiong Liu, Zhenhao Jiang, Longjie Wang, Yi Cheng, Wenwen Fan, Longchun Bian, Yonggang Shi, Li-Yan Zheng, Qiu-E Cao|2023|Cryst.Growth Des.|24|132|doi:10.1021/acs.cgd.3c00776
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.cc2dpwdd
title: CCDC 2225564: Experimental Crystal Structure Determination

description: Related Article: Yanxiong Liu, Zhenhao Jiang, Longjie Wang, Yi Cheng, Wenwen Fan, Longchun Bian, Yonggang Shi, Li-Yan Zheng, Qiu-E Cao|2023|Cryst.Growth Des.|24|132|doi:10.1021/acs.cgd.3c00776
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.cc2dpwff
title: CCDC 2225565: Experimental Crystal Structure Determination

description: Related Article: Yanxiong Liu, Zhenhao Jiang, Longjie Wang, Yi Cheng, Wenwen Fan, Longchun Bian, Yonggang Shi, Li-Yan Zheng, Qiu-E Cao|2023|Cryst.Growth Des.|24|132|doi:10.1021/acs.cgd.3c00776
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.cc2fpzfk
title: CCDC 2255449: Experimental Crystal Structure Determination

description: Related Article: Vakhid A. Mamedov, Vera L. Mamedova, Victor V. Syakaev, Temur A. Kushatov, Dmitry E. Korshin, Il'dar Kh Rizvanov, Aidar T. Gubaidullin|2024|Tetrahedron|150|133751|doi:10.1016/j.tet.2023.133751
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.