cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24ltvf
title: CCDC 1984305: Experimental Crystal Structure Determination

description: Related Article: Yanju Huang, Jiayin Wang, Jun Zhang|2022|J.Chem.Res.|46|174751982210855|doi:10.1177/17475198221085541
DOI: 10.5517/ccdc.csd.cc24ltwg
title: CCDC 1984306: Experimental Crystal Structure Determination

description: Related Article: Yanju Huang, Jiayin Wang, Jun Zhang|2022|J.Chem.Res.|46|174751982210855|doi:10.1177/17475198221085541
DOI: 10.5517/ccdc.csd.cc24ltxh
title: CCDC 1984307: Experimental Crystal Structure Determination

description: Related Article: Yanju Huang, Jiayin Wang, Jun Zhang|2022|J.Chem.Res.|46|174751982210855|doi:10.1177/17475198221085541
DOI: 10.5517/ccdc.csd.cc2bz3zf
title: CCDC 2173905: Experimental Crystal Structure Determination

description: Related Article: A C Keates|2022|CSD Communication|||
DOI: 10.14278/rodare.1629
title: Data publication: Dynamics and length scales in vertical convection of liquid metals

description: The dataset consists of raw data from experiments run for aspect ratio 3 cuboid alone.
DOI: 10.14278/rodare.1628
title: Data publication: Dynamics and length scales in vertical convection of liquid metals

description: The dataset consists of raw data from experiments run for aspect ratio 3 cuboid alone.
DOI: 10.6084/m9.figshare.19802815
title: Quad OCT data & processing

description: Data for associated demo script
DOI: 10.6084/m9.figshare.19802815.v1
title: Quad OCT data & processing

description: Data for associated demo script
DOI: 10.14278/rodare.1635
title: Master Curve Testing of RPV Steels using Mini-C(T) Specimens – Irradiation Effects and Censoring Statistics

description: Includes master curve data for the materials used in this work as well as the SEM images of the fracture surfaces.
DOI: 10.14278/rodare.1634
title: Master Curve Testing of RPV Steels using Mini-C(T) Specimens – Irradiation Effects and Censoring Statistics

description: Includes master curve data for the materials used in this work as well as the SEM images of the fracture surfaces.
DOI: 10.34740/kaggle/dsv/3668215
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.6084/m9.figshare.19802896
title: data ardea glmm.csv

description: Data used in the LMM model.
DOI: 10.5255/ukda-sn-855677
title: An Explorative Study of Work Transitions From Fishing to Tourism in Cornwall, UK, 2018-2019

description: The main aim of this study is to: Explore the ways in which people working in fishing and marine tourism in Cornwall understand, experience, and attach meaning to their work through the theoretical lens of identity and dignity. Using Cornwall/ UK as a case study, the following objectives were specified in order to answer the research question: 1. Explore the ways in which commercial fishermen experience their work. 2. Examine how people transitioning from fisheries to marine tourism work experience such change. 3. Offer an alternative understanding of identity and dignity in marine tourism contexts and highlight the relevance of dignity as a concept for theorising tourism diversification. The data for this PhD thesis explores the ways in which people working in fishing and marine tourism in Cornwall understand, experience, and attach meaning to their work through the theoretical lens of identity and dignity. From a social constructionist perspective and supported by principles of a phenomenological enquiry, empirically, loosely structured interviews with 15 commercial fishermen, 7 fishermen who transitioned into tourism work, as well as 23 informants including descendants and relatives of fishermen and community members, artists and local filmmakers, as well as representatives of fishing and tourism and heritage organisations were conducted.
DOI: 10.14469/hpc/9970
title: 100

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/9971
title: 90

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/9972
title: 88-1

description: Gaussian 16 (C01) calculation
DOI: 10.25424/cmcc-mfd5-t060
title: A new Standardized Precipitation Evapotranspiration Index (SPEI) dataset
DOI: 10.14469/hpc/9973
title: 88-3

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/9974
title: 88-2

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/9975
title: 97

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.6566507
title: Belal supplementary Table 1 and 2

description: supplementary table 1 and Table 2
DOI: 10.5281/zenodo.6566506
title: Belal supplementary Table 1 and 2

description: supplementary table 1 and Table 2
DOI: 10.5281/zenodo.6566057
title: Mapping the Atlantic Ocean i.e. the Gulf of Maine to identify suitable cultivation sites for kelp species

description: Input source: Temperature data Depth data Wave data Nutrients data Current data Marine use data <strong>All from other available sources outside the project</strong> DATA SET GENERATED: Environmental data Training/validation data The socioeconomic datasets Map of suitable sites Model using GIS
DOI: 10.5281/zenodo.6566056
title: Mapping the Atlantic Ocean i.e. the Gulf of Maine to identify suitable cultivation sites for kelp species

description: Input source: Temperature data Depth data Wave data Nutrients data Current data Marine use data <strong>All from other available sources outside the project</strong> DATA SET GENERATED: Environmental data Training/validation data The socioeconomic datasets Map of suitable sites Model using GIS
DOI: 10.5281/zenodo.6563697
title: The importance of Canadian Arctic Archipelago gateways for glacial expansion in Scandinavia

description: <strong>Reference:</strong> <em>Lofverstrom, M., Thompson, D. M., Otto-Bliesner, B. L. & Brady, E. C. (2022): The importance of Canadian Arctic Archipelago gateways for glacial expansion in Scandinavia, Nature Geoscience, doi:10.1038/s41561-022-00956-9</em> <strong>Description:</strong><br> 30 year monthly climatologies and monthly timeseries from the <em>CESM2</em> pre-industrial control simulation (<em>piControl</em>), as well as the 116 ka simulations with open and closed ocean gateways in the Canadian Arctic Archipelago (<em>openCAA</em> and <em>closedCAA</em>, respectively). This is version 2 of this dataset that includes an extension of simulation <em>openCAA<strong> </strong></em>to model year 815 (similar to simulation <em>closedCAA</em>). <strong>The pre-industrial data is derived from:</strong><br> https://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.html <strong>Proxy datasets:</strong><br> vo.imcce.fr/insola/earth/online/earth/earth.html<br> doi.pangaea.de/10.1594/PANGAEA.854045<br> doi.pangaea.de/10.1594/PANGAEA.55501<br> doi.pangaea.de/10.1594/PANGAEA.840727<br> doi.pangaea.de/10.1594/PANGAEA.777694<br> doi.pangaea.de/10.1594/PANGAEA.742858
DOI: 10.5281/zenodo.4430030
title: The importance of Canadian Arctic Archipelago gateways for glacial expansion in Scandinavia

description: <strong>Reference:</strong> <em>Lofverstrom, M., Thompson, D. M., Otto-Bliesner, B. L. & Brady, E. C. (2022): The importance of Canadian Arctic Archipelago gateways for glacial expansion in Scandinavia, Nature Geoscience, doi:10.1038/s41561-022-00956-9</em> <strong>Description:</strong><br> 30 year monthly climatologies and monthly timeseries from the <em>CESM2</em> pre-industrial control simulation (<em>piControl</em>), as well as the 116 ka simulations with open and closed ocean gateways in the Canadian Arctic Archipelago (<em>openCAA</em> and <em>closedCAA</em>, respectively). This is version 2 of this dataset that includes an extension of simulation <em>openCAA<strong> </strong></em>to model year 815 (similar to simulation <em>closedCAA</em>). <strong>The pre-industrial data is derived from:</strong><br> https://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.html <strong>Proxy datasets:</strong><br> vo.imcce.fr/insola/earth/online/earth/earth.html<br> doi.pangaea.de/10.1594/PANGAEA.854045<br> doi.pangaea.de/10.1594/PANGAEA.55501<br> doi.pangaea.de/10.1594/PANGAEA.840727<br> doi.pangaea.de/10.1594/PANGAEA.777694<br> doi.pangaea.de/10.1594/PANGAEA.742858
DOI: 10.6084/m9.figshare.19803073
title: Characterization of the sediments in a gas hydrate reservoir in the northern South China Sea: Implications for gas hydrate accumulation

description: the grain size, XRD, and specific surface area data of sediments in South China Sea
DOI: 10.5519/qd.jg2275gh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (716133 records)
DOI: 10.17172/nomad/2019.12.10-1
title: NOMAD Repository Entry
DOI: 10.5281/zenodo.6563928
title: Subjective human thresholds over computer generated images

description: Realistic image computation mimics the natural process of acquiring pictures by simulating the physical interactions of light between all the objects, lights and cameras lying within a modelled 3D scene. This process is known as global illumination and was formalised by Kajiya with the following rendering Equation:<br> \(\begin{equation} \label{eq:rendering_equation} L_o(x, \omega_o) = {L_e(x, \omega_o)} + \int_{\Omega}^{} {L_i(x, \omega_i)} \cdot f_r(x, \omega_i \rightarrow \omega_o) \cdot \cos \theta_i d\omega_i \end{equation}\) where: \(L_o(x, \omega_o)\) is the luminance traveling from point \(x\) in direction \(\omega_o\); \(L_e(x, \omega_o)\) is point \(x\) emitted luminance (it is null if point x does not lie on a ligth source surface); the integral represents the set of luminances \(L_i\)incident in \(x \) from the hemisphere of the directions \(\Omega\) and reflected in the direction \(\omega_o\). The reflected luminances are weighted by the materials reflecting properties (bidirectionnal reflectance function \(f_r(x, \omega_i \rightarrow \omega_o)\)) and the cosinus of the incident angle. This equation cannot be analytically solved and Monte Carlo approaches are generally used to estimate the value of the pixels of the final image. This proposed dataset is composed of 80 points of view of photo realistics images with different level of samples (following the Monte Carlo approach) for each. Each image is 800 x 800 pixels in size. The most noisy image is of 20 samples and the reference one (the most converged image obtained) is of 10000 samples. The pbrt rendering engine (version 3) was used to generate these images. By exploiting these levels of samples obtained and therefore of noise perceptible in the images, average subjective human thresholds were collected. For this purpose, the images were divided into 16 areas of 200 x 200 pixels in size for each point of view. The proposed image database is composed of the following files: <strong>human-thresholds.csv</strong> : the set of human subjective thresholds obtained on 40 points of view. A line is composed of the name of the point of view followed by all the thresholds obtained for each of the 16 zones; <strong>SIN3D_dataset.tar.gz</strong> : is an archive containing all the images from 20 to 10000 samples in steps of 20 samples for each point of view (i.e. 500 images per point of view). Each folder in the archive corresponds to a point of view. <em>This image database has been exploited in order to propose an objective model for noise detection in photo-realistic computer-generated images (article referenced to this image database).</em> <strong>Note:</strong> Some of the proposed scenes come from: https://pbrt.org/scenes-v3 https://benedikt-bitterli.me/resources/ <strong>Funding:</strong> This research was funded by ANR support: project ANR-17-CE38-0009.
description: {"references": ["Buisine, J\u00e9r\u00f4me, et al. \"Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy.\" Entropy 23.1 (2021): 75."]}
DOI: 10.5281/zenodo.4531459
title: Subjective human thresholds over computer generated images

description: Realistic image computation mimics the natural process of acquiring pictures by simulating the physical interactions of light between all the objects, lights and cameras lying within a modelled 3D scene. This process is known as global illumination and was formalised by Kajiya with the following rendering Equation:<br> \(\begin{equation} \label{eq:rendering_equation} L_o(x, \omega_o) = {L_e(x, \omega_o)} + \int_{\Omega}^{} {L_i(x, \omega_i)} \cdot f_r(x, \omega_i \rightarrow \omega_o) \cdot \cos \theta_i d\omega_i \end{equation}\) where: \(L_o(x, \omega_o)\) is the luminance traveling from point \(x\) in direction \(\omega_o\); \(L_e(x, \omega_o)\) is point \(x\) emitted luminance (it is null if point x does not lie on a ligth source surface); the integral represents the set of luminances \(L_i\)incident in \(x \) from the hemisphere of the directions \(\Omega\) and reflected in the direction \(\omega_o\). The reflected luminances are weighted by the materials reflecting properties (bidirectionnal reflectance function \(f_r(x, \omega_i \rightarrow \omega_o)\)) and the cosinus of the incident angle. This equation cannot be analytically solved and Monte Carlo approaches are generally used to estimate the value of the pixels of the final image. This proposed dataset is composed of 80 points of view of photo realistics images with different level of samples (following the Monte Carlo approach) for each. Each image is 800 x 800 pixels in size. The most noisy image is of 20 samples and the reference one (the most converged image obtained) is of 10000 samples. The pbrt rendering engine (version 3) was used to generate these images. By exploiting these levels of samples obtained and therefore of noise perceptible in the images, average subjective human thresholds were collected. For this purpose, the images were divided into 16 areas of 200 x 200 pixels in size for each point of view. The proposed image database is composed of the following files: <strong>human-thresholds.csv</strong> : the set of human subjective thresholds obtained on 40 points of view. A line is composed of the name of the point of view followed by all the thresholds obtained for each of the 16 zones; <strong>SIN3D_dataset.tar.gz</strong> : is an archive containing all the images from 20 to 10000 samples in steps of 20 samples for each point of view (i.e. 500 images per point of view). Each folder in the archive corresponds to a point of view. <em>This image database has been exploited in order to propose an objective model for noise detection in photo-realistic computer-generated images (article referenced to this image database).</em> <strong>Note:</strong> Some of the proposed scenes come from: https://pbrt.org/scenes-v3 https://benedikt-bitterli.me/resources/ <strong>Funding:</strong> This research was funded by ANR support: project ANR-17-CE38-0009.
description: {"references": ["Buisine, J\u00e9r\u00f4me, et al. \"Stopping Criterion during Rendering of Computer-Generated Images Based on SVD-Entropy.\" Entropy 23.1 (2021): 75."]}
DOI: 10.6084/m9.figshare.19803341
title: In vitro bacterial probiotic selection from Nannostomus beckfordi, an Amazon ornamental fish

description: ABSTRACT This study aimed to isolate and select in vitro bacteria with probiotic potential for the Amazon ornamental fish Nannostomus beckfordi. For isolate, twelve fish underwent surgery procedure to remove their intestinal tract, macerate and then inoculate in the plate petri containing de Man Rugosa Sharped Agar (MRS). After bacterial growth (48 hours at 35ºC), selected strains were inoculated in MRS broth and submitted to resistance test with NaCl (0.5, 1.0, 1.5, 2.0, 2.5 and 3.0%), pH (4, 5, 6, 8 and 9) and bile salts (5% w/v). Inhibition test against pathogenic bacteria Aeromonas hydrophila, Pseudomonas aeroginosa, Streptococcus agalactiae and Aeromonas Jandaei was also performed. Within the isolated strains group (23 strains), only six (S1, S2, S3, S4, S5 and S6) showed probiotic potential. Strains S1 and S6 showed the greater resistance for NaCl (0.5% and 1%) and pH (5 and 6), but only S1 obtained better results to resist the bile salts. Even against pathogenic bacteria, the S1 showed the best results with inhibition halos greater than 9 mm. In the end, this bacterial strain (S1) was identified as Enterococcus faecium 11037CHB. Thus, this is the first report regarding isolated autochthonous bacterium E. faecium with probiotic potential of N. beckfordi.
DOI: 10.34740/kaggle/dsv/3668331
title: DEVANAGARI CHARACTER SET
DOI: 10.6084/m9.figshare.19803341.v1
title: In vitro bacterial probiotic selection from Nannostomus beckfordi, an Amazon ornamental fish

description: ABSTRACT This study aimed to isolate and select in vitro bacteria with probiotic potential for the Amazon ornamental fish Nannostomus beckfordi. For isolate, twelve fish underwent surgery procedure to remove their intestinal tract, macerate and then inoculate in the plate petri containing de Man Rugosa Sharped Agar (MRS). After bacterial growth (48 hours at 35ºC), selected strains were inoculated in MRS broth and submitted to resistance test with NaCl (0.5, 1.0, 1.5, 2.0, 2.5 and 3.0%), pH (4, 5, 6, 8 and 9) and bile salts (5% w/v). Inhibition test against pathogenic bacteria Aeromonas hydrophila, Pseudomonas aeroginosa, Streptococcus agalactiae and Aeromonas Jandaei was also performed. Within the isolated strains group (23 strains), only six (S1, S2, S3, S4, S5 and S6) showed probiotic potential. Strains S1 and S6 showed the greater resistance for NaCl (0.5% and 1%) and pH (5 and 6), but only S1 obtained better results to resist the bile salts. Even against pathogenic bacteria, the S1 showed the best results with inhibition halos greater than 9 mm. In the end, this bacterial strain (S1) was identified as Enterococcus faecium 11037CHB. Thus, this is the first report regarding isolated autochthonous bacterium E. faecium with probiotic potential of N. beckfordi.
DOI: 10.3886/e170741v1
title: Effectiveness of four deconstructive meditative practices on well-being and self-deconstruction: Study protocol for an exploratory randomized controlled trial

description: <b>Background: </b>The efficacy of interventions based on mindfulness and compassion has been demonstrated in both clinical and general population, and in different social contexts. These interventions include so-called attentional and constructive meditation practices, respectively.However, unlike these, there is a third group, known as deconstructive meditation practices, which has not been scientifically studied. Deconstructive practices aim to undo maladaptive cognitive patterns and generate knowledge about internal models of oneself, others and the world. Although there are theoretical and philosophical studies on the origin of addiction to the self or on the mechanisms of action associated with the deconstruction of the self, there are no randomized controlled trials evaluating these techniques in either a healthy population or clinical samples.This study aims to evaluate the effect of three deconstructive techniques by comparing them to the practice of mindfulness in the general population.<b></b><b>Methods:</b>A randomized controlled clinical trial (RCT) will be conducted with about 240 participants allocated (1:1:1:1) to four groups: a) mindful breathing, b)prostrations, according to Tibetan Buddhist tradition; c) the Koan Mu, according to Zen Buddhist tradition; and d) the mirror exercise, according to Toltec tradition. The primary outcome will be the qualities of the non-dual experience and spiritual awakening, measured by the Nondual Embodiment Thematic Inventory, assessed at pre and post-treatment and at 3 and 6-month follow ups. Other outcomes will be mindfulness, happiness, compassion, affectivity and altered state of consciousness.Outcomes at each time point will be compared using mixed-effects linear regression models adjusted for baseline scores, sex and age.<b>Discussion:</b>This is the first RCT to apply deconstructive meditation techniques to evaluate their effect on the general population.The positive results of this project may have an important impact on the development of new interventions, not only to improve happiness and well-being in healthy populations but also potentially for the prevention and treatment of psychological and medical disorders, creating a new paradigm in the context of third-generation psychological interventions.<b></b>
description: General population.
DOI: 10.17172/nomad/2020.05.20-1
title: NOMAD dataset: demo example data
DOI: 10.3886/e152341v1
title: JCONRES_NJP_2021

description: JCR Submission
DOI: 10.34740/kaggle/dsv/3668386
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.19681869
title: Construct Validity RESULTS.spv

description: Results of validity test, instrument of study and SPSS output of data analysis
DOI: 10.6084/m9.figshare.19681869.v2
title: Construct Validity RESULTS.spv

description: Results of validity test, instrument of study and SPSS output of data analysis
DOI: 10.6084/m9.figshare.19681869.v1
title: Construct Validity RESULTS.spv

description: Results of validity test, instrument of study and SPSS output of data analysis
DOI: 10.5281/zenodo.1424831
title: Hathi Trust Library Vectorized features

description: A smaller-resolution (and therefore more portable) version of the Stable Random Projection Hathi Trust features described in my forthcoming article. The Northeastern repository is many individual files with 1280 random dimensions; this is just 640 random dimensions. The numbers are also experimentally encoded as half-precision floats, which cuts the file size by half at the cost of only being supported by my Python module. The net result is a file 1/4 the size of the full resolution ones for the paper that has, probably, something like 60-80% of the information content. The full file is 'ht-640d-complete-half-precision.bin'. You can also download 11 smaller files organized by language. Since these files use half-precision float encoding, to read them you must specify the precision when reading: e.g.,<br> <pre><code class="language-python">from SRP import Vector_file f = Vector_file("ita.bin", precision = "half")</code></pre> Code to read these files is at https://github.com/bmschmidt/pySRP.
DOI: 10.5281/zenodo.1424830
title: Hathi Trust Library Vectorized features

description: A smaller-resolution (and therefore more portable) version of the Stable Random Projection Hathi Trust features described in my forthcoming article. The Northeastern repository is many individual files with 1280 random dimensions; this is just 640 random dimensions. The numbers are also experimentally encoded as half-precision floats, which cuts the file size by half at the cost of only being supported by my Python module. The net result is a file 1/4 the size of the full resolution ones for the paper that has, probably, something like 60-80% of the information content. The full file is 'ht-640d-complete-half-precision.bin'. You can also download 11 smaller files organized by language. Since these files use half-precision float encoding, to read them you must specify the precision when reading: e.g.,<br> <pre><code class="language-python">from SRP import Vector_file f = Vector_file("ita.bin", precision = "half")</code></pre> Code to read these files is at https://github.com/bmschmidt/pySRP.
DOI: 10.6084/m9.figshare.19803343
title: BigWig file of SRR3414629

description: BigWig file of SRR3414629
DOI: 10.6084/m9.figshare.19803343.v1
title: BigWig file of SRR3414629

description: BigWig file of SRR3414629
DOI: 10.25625/dppatx/tbgvjj
title: Ramos.2022.PeerJ_EnvironmentalVariables.tab

description: :unav
DOI: 10.34740/kaggle/dsv/3668425
title: 2021 World Population (updated daily)