cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8188795
title: [IO Islamic 907] يوسف و زليخا

description: <strong>Jâmî's-Mathnawîs.</strong> <strong>This manuscript is now IO Islamic 1350 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 907 here with notations and hyperlinks].</strong> 1350 The same. Good and correct copy, not dated. No. 907, ff. 161, 2 coll., each ll. 13; distinct Nasta’lîḳ; illuminated frontispiece; a few other illuminations; most of the headings written in gold, the text also sprinkled with gold; size, 9 in. by 6 in.
DOI: 10.5281/zenodo.8188638
title: Published articles on gender in cultural and creative sectors

description: Results from the analysis of 6.631 scientific articles on Gender in Cultural and Creative Sectors (CCS) retrieved from Web of Science and dating between 1958 and 2022. The largest number of publications have their focus on the audio-visual and multimedia industry (37,08%), followed by performing arts (20,48%), book and press (17,80%) and visual arts (9,35%). In other CCS, the share of publications ranges between 5,35% (advertising) and 0,41% (arts and crafts). Therefore, there is an evident need to foster research on the women's role in particular domains of the CCS, such as heritage, library, archives, architecture and, especially, arts and crafts. Additionally, the role of women is less emphasized in the preservation and conservation stage of the CCS value chain (for almost all the domains), in the management and regulation stage (for visual and performing arts) and in the creation stage (in the audio-visual and multimedia sector). A guide on Gender integration Cultural statistics can be retrieved at this URL: https://www.mesoc-project.eu/resources/gender-and-cultural-and-creative-sector-guide-gender-integration-cultural-statistics
DOI: 10.5281/zenodo.8188637
title: Published articles on gender in cultural and creative sectors

description: Results from the analysis of 6.631 scientific articles on Gender in Cultural and Creative Sectors (CCS) retrieved from Web of Science and dating between 1958 and 2022. The largest number of publications have their focus on the audio-visual and multimedia industry (37,08%), followed by performing arts (20,48%), book and press (17,80%) and visual arts (9,35%). In other CCS, the share of publications ranges between 5,35% (advertising) and 0,41% (arts and crafts). Therefore, there is an evident need to foster research on the women's role in particular domains of the CCS, such as heritage, library, archives, architecture and, especially, arts and crafts. Additionally, the role of women is less emphasized in the preservation and conservation stage of the CCS value chain (for almost all the domains), in the management and regulation stage (for visual and performing arts) and in the creation stage (in the audio-visual and multimedia sector). A guide on Gender integration Cultural statistics can be retrieved at this URL: https://www.mesoc-project.eu/resources/gender-and-cultural-and-creative-sector-guide-gender-integration-cultural-statistics
DOI: 10.18112/openneuro.ds004647.v1.0.1
title: The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning
DOI: 10.5281/zenodo.8102217
title: The ACRE Crop-Weed Dataset

description: <strong>For a detailed description of this dataset</strong>, based on the <em>Datasheets for Datasets</em> (Gebru, Timnit, et al. "Datasheets for datasets." <em>Communications of the ACM</em> 64.12 (2021): 86-92.), check the <strong>ACRE_datasheet.md</strong> file. <strong>For what purpose was the dataset created?</strong><br> The ACRE dataset was created within the scope of the METRICS project to serve as a benchmark for weed detection models in various tasks, including object detection, semantic segmentation, and instance segmentation. The Agri-Food Competition for Robot Evaluation (ACRE) is a benchmarking competition specifically designed for autonomous robots and smart implements, with a primary focus on agricultural activities like weed removal and field navigation. These capabilities play a vital role in facilitating the transition to Digital Agriculture. The ACRE competition, which can be found at https://metricsproject.eu/agri-food, is part of the METRICS project, an EU-funded initiative dedicated to the metrological evaluation and testing of autonomous robots. <strong>What do the instances that comprise the dataset represent?</strong><br> The instances consist of RGB images depicting both crop and weed plants. The crop category encompasses two species: maize (Zea mays) and beans (Phaseolus vulgaris). On the other hand, the weed category encompasses four species: ryegrass (Lolium perenne), mustard (Sinapis arvensis), matricaria (Matricaria chamomilla), and lamb's quarter (Chenopodium album). <strong>Is there a label or target associated with each instance?</strong><br> Every image in the dataset is accompanied by an XML file that contains instance segmentation annotations. <strong>What mechanisms or procedures were used to collect the data?</strong><br> The data collection process involved the use of a four-wheel skid-steering robot that was equipped with a Basler acA2000-50gc RGB camera. The camera was mounted on the robot in such a way that its principal axis was directed perpendicular to the ground. It had a resolution of 2046 x 1080 pixels. The robot was teleoperated and operated at an average speed of 0.2 m/s. To capture the data, the camera's stream was recorded in rosbag format. For this purpose, the camera was connected to a PC running Ubuntu 18.04 and ROS Melodic via an Ethernet interface.
DOI: 10.5281/zenodo.8102216
title: The ACRE Crop-Weed Dataset

description: <strong>For a detailed description of this dataset</strong>, based on the <em>Datasheets for Datasets</em> (Gebru, Timnit, et al. "Datasheets for datasets." <em>Communications of the ACM</em> 64.12 (2021): 86-92.), check the <strong>ACRE_datasheet.md</strong> file. <strong>For what purpose was the dataset created?</strong><br> The ACRE dataset was created within the scope of the METRICS project to serve as a benchmark for weed detection models in various tasks, including object detection, semantic segmentation, and instance segmentation. The Agri-Food Competition for Robot Evaluation (ACRE) is a benchmarking competition specifically designed for autonomous robots and smart implements, with a primary focus on agricultural activities like weed removal and field navigation. These capabilities play a vital role in facilitating the transition to Digital Agriculture. The ACRE competition, which can be found at https://metricsproject.eu/agri-food, is part of the METRICS project, an EU-funded initiative dedicated to the metrological evaluation and testing of autonomous robots. <strong>What do the instances that comprise the dataset represent?</strong><br> The instances consist of RGB images depicting both crop and weed plants. The crop category encompasses two species: maize (Zea mays) and beans (Phaseolus vulgaris). On the other hand, the weed category encompasses four species: ryegrass (Lolium perenne), mustard (Sinapis arvensis), matricaria (Matricaria chamomilla), and lamb's quarter (Chenopodium album). <strong>Is there a label or target associated with each instance?</strong><br> Every image in the dataset is accompanied by an XML file that contains instance segmentation annotations. <strong>What mechanisms or procedures were used to collect the data?</strong><br> The data collection process involved the use of a four-wheel skid-steering robot that was equipped with a Basler acA2000-50gc RGB camera. The camera was mounted on the robot in such a way that its principal axis was directed perpendicular to the ground. It had a resolution of 2046 x 1080 pixels. The robot was teleoperated and operated at an average speed of 0.2 m/s. To capture the data, the camera's stream was recorded in rosbag format. For this purpose, the camera was connected to a PC running Ubuntu 18.04 and ROS Melodic via an Ethernet interface.
DOI: 10.5281/zenodo.8188804
title: ThinSpecimenPorous_Cylindrical_factor_rby4

description: Thin specimen with same volume as original specimens used by Viet Duc Le. Radius divided by a factor of 4 and therefore length increased by a factor of 4<sup>2</sup>. Contains, for 59 subvolumes (cylinders with defects), nominal stress ranging 24 MPa (10% of R<sub>p0.2</sub>): a) stresses, b) volumes <strong>Mesh type:</strong> Fine mesh Note: Summed volume of 80 subvolumes correctly equals the volume of experimental fatigue specimens used by Viet Duc Le.
DOI: 10.5281/zenodo.8188803
title: ThinSpecimenPorous_Cylindrical_factor_rby4

description: Thin specimen with same volume as original specimens used by Viet Duc Le. Radius divided by a factor of 4 and therefore length increased by a factor of 4<sup>2</sup>. Contains, for 59 subvolumes (cylinders with defects), nominal stress ranging 24 MPa (10% of R<sub>p0.2</sub>): a) stresses, b) volumes <strong>Mesh type:</strong> Fine mesh Note: Summed volume of 80 subvolumes correctly equals the volume of experimental fatigue specimens used by Viet Duc Le.
DOI: 10.6084/m9.figshare.23790285
title: Supplementary Material for: Social health and change in cognitive capability among older adults: findings from four European longitudinal studies

description: Introduction: In this study we examine whether social health markers measured at baseline are associated with differences in cognitive capability and in the rate of cognitive decline over an 11-to-18-year period among older adults and compare results across studies. Methods: We applied an integrated data analysis approach to 16,858 participants (mean age 65 years; 56% female) from the National Survey for Health and Development (NSHD), the English Longitudinal Study of Aging (ELSA), the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), and the Rotterdam Study. We used multilevel models to examine social health in relation to cognitive capability and the rate of cognitive decline. Results: Pooled estimates show distinct relationships between markers of social health and cognitive domains e.g., a large network size (≥6 people vs none) was associated with higher executive function (0.17 SD[95%CI:0.0, 0.34], I2=27%) but not with memory (0.08 SD[95%CI: -0.02, 0.18], I2=19%). We also observed pooled associations between being married or cohabiting, having a large network size and participating in social activities with slower decline in cognitive capability, however estimates were close to zero e.g., 0.01SD/year [95%CI: 0.01 to 0.02] I2=19% for marital status and executive function. There were clear study-specific differences: results for average processing speed were the most homogenous and results for average memory were the most heterogenous. Conclusion: Overall, markers of good social health have a positive association with cognitive capability. However, we found differential associations between specific markers of social health and cognitive domains and differences between studies. These findings highlight the importance of examining between study differences and considering context specificity of findings in developing and deploying any interventions
DOI: 10.6084/m9.figshare.23790246
title: ARRIVE Checklist - Full.docx

description: The document contains the ARRIVE guidelines.
DOI: 10.6084/m9.figshare.23790246.v1
title: ARRIVE Checklist - Full.docx

description: The document contains the ARRIVE guidelines.
DOI: 10.6084/m9.figshare.23790150
title: Soil microbial community, dissolved organic matter and nutrient cycling interactions change along an elevation gradient in subtropical China

description: This table contains data on soil dissolved organic matter at different elevations in Wuyi Mountain, China, which is attached to the manuscript submitted to Journal of Environmental Management (Manuscript ID:JEMA-D-23-01912).
DOI: 10.6084/m9.figshare.23790150.v1
title: Soil microbial community, dissolved organic matter and nutrient cycling interactions change along an elevation gradient in subtropical China

description: This table contains data on soil dissolved organic matter at different elevations in Wuyi Mountain, China, which is attached to the manuscript submitted to Journal of Environmental Management (Manuscript ID:JEMA-D-23-01912).
DOI: 10.5281/zenodo.8188815
title: Soil microbial community, dissolved organic matter and nutrient cycling interactions change along an elevation gradient in subtropical China

description: This table contains data on soil dissolved organic matter at different elevations in Wuyi Mountain, China, which is attached to the manuscript submitted to Journal of Environmental Management (Manuscript ID:JEMA-D-23-01912).
DOI: 10.5281/zenodo.8188814
title: Soil microbial community, dissolved organic matter and nutrient cycling interactions change along an elevation gradient in subtropical China

description: This table contains data on soil dissolved organic matter at different elevations in Wuyi Mountain, China, which is attached to the manuscript submitted to Journal of Environmental Management (Manuscript ID:JEMA-D-23-01912).
DOI: 10.17631/rd-2023-0013-ddat
title: Say My Name: experiences and impacts of pronunciation of names in higher education in contexts of culturally diverse student identities

description: The Say My Name project ran from September 2021-March 2022 and was funded by The British Academy (Award ref  SRG2021\210816).<br>
 
This small-scale study explored how (mis)pronunciation of names is experienced by students and by staff who interact with students in higher education institutions in England. Our methods included (i) creative writing tools to capture the ‘stories’ a sample of 20 third year undergraduate students studying at universities in England had about the pronunciation of their names and follow up one-to-one semi-structured online interviews with these same students (ii) online semi-structured one-to-one interviews with a sample of 10 staff working at universities in England in either a teaching role or a student-facing professional services role. The interviews with participants ranged in duration from c.30 minutes to c.60 minutes. The creative writing data are not included in the data repository because these served as prompts for the follow-up interviews with student participants.<br>
 
The research produced new knowledge acquired through qualitative methods of enquiry about name-related experiences in the context of culturally diverse undergraduate student populations in higher education in England. The project and its outputs contributed to the development of institutional policies and practices aimed at improving student experiences of higher education, especially in terms of equality, diversity, widening participation and engagement issues, and broader discussions about respecting culturally diverse identities and de-colonising the university.<br>
 
This dataset contains: anonymised interview transcripts; a blank consent form; participant information sheet; interview guide; guide to writing a name story.
DOI: 10.5281/zenodo.7224898
title: Data files for Rivollat et al "Extensive pedigrees reveal the social organisation of a Neolithic community"

description: Supporting data for Rivollat et al "Extensive pedigrees reveal social organisation of Neolithic communities" <em>Nature</em> (2023). https://doi.org/10.1038/s41586-023-06350-8 Binomial_distribution_plots.zip &gt; 4371 files IBD_degrees.zip &gt; 11 files Strontium_individual_files.zip &gt; 56 files
DOI: 10.5281/zenodo.7224897
title: Data files for Rivollat et al "Extensive pedigrees reveal the social organisation of a Neolithic community"

description: Supporting data for Rivollat et al "Extensive pedigrees reveal social organisation of Neolithic communities" <em>Nature</em> (2023). https://doi.org/10.1038/s41586-023-06350-8 Binomial_distribution_plots.zip &gt; 4371 files IBD_degrees.zip &gt; 11 files Strontium_individual_files.zip &gt; 56 files
DOI: 10.5281/zenodo.8188867
title: MIGHTEE FR Dataset

description: Dataset created public MIGHTEE Early Science Data. The dataset class can be found here The sky images are available for download here
DOI: 10.5281/zenodo.8188866
title: MIGHTEE FR Dataset

description: Dataset created public MIGHTEE Early Science Data. The dataset class can be found here The sky images are available for download here
DOI: 10.21952/wtr/1495380
title: Discharge data collected within the East River for the Lawrence Berkeley National Laboratory Watershed Function Science Focus Area (water years 2015-present)

description: Discharge data collected at the East River in the Upper Colorado River Basin for the Lawrence Berkeley National Laboratory's Watershed Function Scientific Focus Area. Files contain instantaneous observed discharge data, corrected 10 min and mean daily discharge. Several sites also contain temperature and transducer depth. Please contact Rosemary Carroll if you have any questions or wish to access the raw data.
DOI: 10.21952/wtr/1506941
title: Hillslope subsurface flow and transport data for the PLM transect in East River, Colorado

description: This file contains data used to calculate subsurface flow and transport at the Pumphouse Lower Montane (PLM) hillslope transect. Information includes locations, weather data, hydraulic conductivities, hydraulic head profiles, soil water profiles, depths to the water table, specific conductance (SC) and dissolved organic carbon (DOC) in pore waters, water isotopic composition, calculated subsurface fluxes, calculated subsurface transport concentrations for SC and DOC, East River discharge and SC, transect soil particle-size distributions, and moisture characteristic curves.
DOI: 10.26131/irsa445
title: Planck Catalog of Galactic Cold Clumps

description: The Planck Catalogue of Galactic Cold Clumps (PGCC) is an observational catalogue consisting exclusively of Galactic cold sources. The three highest Planck bands (857, 545, 353 GHz) have been combined with IRAS data at 3 THz to perform a multi-frequency detection of sources colder than their local environment. After rejection of possible extragalactic contaminants, the PGCC catalogue contains 13188 Galactic sources spread across the whole sky, i.e., from the Galactic plane to high latitudes, following the spatial distribution of the main molecular cloud complexes. The median temperature of PGCC sources lies between 13 and 14.5 K, depending on the quality of the flux density measurements, with a temperature ranging from 5.8 to 20 K after removing sources with the 1% largest temperature estimates. Using seven independent methods, reliable distance estimates have been obtained for 5574 sources, which allows the derivation of physical properties such as their mass, physical size, mean density and luminosity. This dataset or service is made available by the Infrared Science Archive (IRSA) at IPAC, which is operated by the California Institute of Technology under contract with the National Aeronautics and Space Administration.
DOI: 10.17632/hg596dwdr6.1
title: genBart file for PROMISSE manuscript

description: We are submitting a manuscript and this R dataset is served as a supplementary data. In this study (PROMISSE), we longitudinally profiled the healthy and SLE blood transcriptome dynamics during and after pregnancy using microarray and flow cytometry. Matched non-pregnant healthy and SLE subjects were also recruited. To determine molecular signatures associated with healthy pregnancy, SLE pregnancy, and SLE-related pregnancy complications, linear mixed model analysis were performed on the microarray and flow cytometry and the results were combined into an R dataset that can be interactively uploaded and accessed through http://52.25.7.162/bart/. Users can access sample information, run statistics and generate transcriptional heatmaps and module maps interactively. Users can browse the mixed model and Q-gen analysis, as well as the flow cytometry results and can generate their own heatmaps and plots.
DOI: 10.18141/1558781
title: CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures

description: Matlab code to compute climatological Lagrangian Coherent Structures. Climatological Lagrangian Coherent Structures have been shown to be effective in identifying regions that persistently attract or isolate trajectories at the sea surface, while also identifying recurrent transport patterns and transport barriers. It is therefore known as the Climatological Isolation and Attraction Model within NETL DoE. This repository also includes the information necessary to replicate the cCLS published in the paper which is freely available at: https://www.nature.com/articles/s41598-018-23121-y The method is developed in: Duran, R., F. J. Beron-Vera, M. J. Olascoaga (2018). Extracting quasi-steady Lagrangian transport patterns from the ocean circulation: An application to the Gulf of Mexico. Scientific Reports, 8(1), 5218. https://www.nature.com/articles/s41598-018-23121-y The method is successfully evaluated with a large dataset of satellite-tracked drifters, and with a different ocean model in: Gough M.K., F. J. Beron-Vera, M. J. Olascoaga, J. Sheinbaum, J. Jouenno, R. Duran (2019). Persistent Lagrangian transport patterns in the northwestern Gulf of Mexico. J. Phys. Oceanogr., 49, 353–367, https://doi.org/10.1175/JPO-D-17-0207.1 and with floats and yet a different model in: Maslo, A., Azevedo Correia de Souza, J. M., Andrade-Canto, F., & Rodríguez Outerelo, J. (2020). Connectivity of deep waters in the Gulf of Mexico. Journal of Marine Systems, 203, 103267. https://doi.org/10.1016/j.jmarsys.2019.103267
DOI: 10.5281/zenodo.5118690
title: Neutronic analysis of the fusion reactor ARC: Monte Carlo simulations with the Serpent code

description: The input files of the spatially-uniform and non-uniform neutron sources used for the Monte Carlo simulations with the Serpent code and the CAD files for the geometry definition of the fusion reactor ARC used in the framework of the work published in the paper "Neutronic analysis of the fusion reactor ARC: Monte Carlo simulations with the Serpent code" (in Fusion Science and Technology). In the repository there are also the Python files used for the post processing of the results and the output files of Serpent with the main results of the neutronic simulations.
DOI: 10.5281/zenodo.6383219
title: Processed ADCP and CTD Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program

description: These are the hourly acoustic doppler current profiler (ADCP) and conductivity-temperature-depth (CTD files from the ten moored bottom frames and buoys deployed as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A technical report describing the details of processing and moored aspects of the experiment can be found in: Haines, S., <em>et al.</em> (2022) Mooring Data Report for the Processes driving Exchange at Cape Hatteras (PEACH) Project. (doi:10.5281/zenodo.6380851).
description: Funded by the US National Science Foundation under grant OCE-1558920.
DOI: 10.5281/zenodo.7341479
title: A non-intrusive nuclear data uncertainty propagation study for the ARC fusion reactor design

description: Dataset of perturbed nuclear data files employed in the Serpent Monte Carlo code for the nuclear data uncertainty propagation analysis of the Affordable, Robust and Compact (ARC) fusion reactor.