cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zm5wtyzgmt
title: Slit height smearing correction in small angle X-ray scattering II: Computation of the correction function

description: Title of program: FFITEX Catalogue Id: AASC_v1_0 Nature of problem The author's exact solution of the slit height smearing problem in small angle X-ray scattering and its implementation, require the use of a correction function g(t) in the correction formula. The parameters defining this function are obtained by fitting an appropriate analytic form to the measured values of the transmission function f(t) of the slit system used in the scattering experiment. The present program performs the required fit and calculates the fit parameters. Versions of this program held in the CPC repository in Mendeley Data AASC_v1_0; FFITEX; 10.1016/0010-4655(79)90096-1 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.3535/nqv-qha-ptw
title: Coahuila meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qxe-9y7-sde
title: Carthage meteorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.18517632.v1
title: Additional file 1 of Online engagement and performance on formative assessments mediate the relationship between attendance and course performance

description: Additional file 1. Supplementary Material.
DOI: 10.3535/539-l50-h3m
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fz0-5a0-fzj
title: Mastopora C.E.I. von Eichwald, 1840

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jc4-67h-xyh
title: Granitic gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tf0-s5b-c0j
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/81r-j6l-wav
title: Capulus Montfort, 1810

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/skd-h68-sl8
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8zw-txf-44y
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/eje-86w-kr1
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8sd-42b-ztr
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xkn-0ql-l77
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7kc-p6a-v4x
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mrl-xe1-c9e
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/02k-85a-e10
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zl5-wpk-2p4
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21505756.v1
title: The New Precarization of Work: a Conceptual Map

description: Abstract The new precarization of work, flexible precarization, presents changes and significant new elements within the context of precarious work. As a historical manifestation, it has gradually been included within structural-economic and institutional-political reforms. This paper aims to propose a conceptual map of the new precarization of work. The conceptual map is a critical tool for developing a scientific investigation and links concepts, context, and theoretical influences to promote the advancement of research in the field of the object studied. Three dimensions embodied the proposed map: the context, synthesized in the rise of neoliberalism, in the hegemony of the financial sector, in productive restructuring, and in economic globalization; flexible practices, in the condition of manifestations and causalities of the social arrangements, exposed in terms of the naturalization of unemployment, economic fatalism, the emptying of the State, the sanctity of contracts, deregulation, work intensification, the capture of savoir faire , decentralization and deterritorialization of productive units, technocratic manipulations, the weakening of the unions, part-time or temporary work, outsourcing, and despecialization; and the categories, relational expressions identified as flexible capitalism, flexible business, flexibility (flexible regulation), social precarization, and the movement from formal to real subsumption. Providing a synthesized image that seeks to critically apprehend the concreteness of the real, the map can be used as a script for new research and to contribute to critiques in the field of organizational studies.
DOI: 10.17632/9bccmf76sb
title: Elastic-net regularized regression - R script

description: Elastic-net regularized regression script used for the manuscript entitled 'The relation between visual functions, functional vision, and bimanual function in children with unilateral cerebral palsy'. 
The scripts construct an elastic net regularised regression model with nested-cross validation. For the outer loop, leave-one-out cross-validation was used, which iteratively selects the data of one participant as a test set, and then trains the model on the data of the remaining participants. This process is repeated for every participant in the dataset. For the inner loop, an elastic-net regularized regression model was built on the training data. (2024-02-09)
DOI: 10.3535/rjw-j9t-57j
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zsh-h0p-46r
title: †Asaphidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26752516.v2
title: <b>Effect of caffeine citrate on diaphragmatic electrical activity in pre-term newborns</b>

description: The purpose of the study was<b> </b>to investigate the electrical activity of the diaphragm in preterm newborns, measuring it 30 minutes before and 60 minutes after administering a loading dose of caffeine citrate. Conducted as a prospective, observational, longitudinal study at a tertiary-level neonatal ICU, data were collected from 36 patients (13 females, 23 males) with a mean gestational age of 31 2/7 ± 2 1/7 weeks and a mean birth weight of 1581 ± 439 grams. A naso/oro gastric feeding tube designed to measure the electrical activity of the diaphragm was inserted and positioned in the lower esophagus, close to the crural diaphragm. The catheter contained nine electrodes that captured and processed the Edi into a waveform .The Edi and all mechanical ventilator parameters were continuously recorded and transferred simultaneously to a computer using the Servo-Tracker software using a data transmission cable adaptable to a Servo<i>-n</i> mechanical ventilator. Data were collected 30 minutes before and 60 minutes after the caffeine loading dose .
DOI: 10.17632/vg4mw2x2dh
title: Youtube Data on First Aid

description: The dataset contains data about 100 videos and 18211 their Russian comments from Youtube on the first aid topic. The dataset will be useful for opinion mining with the help of the natural language processing.
DOI: 10.3535/85f-nkk-qvq
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/dld-gq6-5p1
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/296-6bv-6tl
title: Terebratula Müller, 1776

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9dk-8e9-eds
title: Neogastropoda Wenz, 1938

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rwk-96x-6a3
title: Neogastropoda Wenz, 1938

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21743741.v1
title: Farafangana food security, diets, and malnutrition data

description: The dataset includes fully anonymized survey data from 492 randomly sampled households in Farafangana District of southeastern Madagascar, visited at three points in time between November 2021 and June 2022. Data include, among others, socio-economic background information, experienced food security (FIES indicator), types of staple foods consumed, and diversity of "laoka" side dishes. The dataset also includes anthropometric measures of 365 children aged 6-59 months. Full detail on data collection procedures is provided in Rousseau et al. "Strong seasonality in diets and alarming levels of food insecurity and child malnutrition in south-eastern Madagascar".
DOI: 10.3535/qdx-q9t-h7j
title: Diphyphyllum minus A. Roemer

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vxj-yb9-yps
title: †Skenidioides Schuchert & Cooper, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25927201.v1
title: H6_W

description: Power related data for House 6
DOI: 10.3535/dv9-bkx-v2d
title: Diphyphyllum minus A. Roemer

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hqc-de5-hmd
title: †Paraspirifer Wedekind, 1926

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9qk-ncj-sz8
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nb5-t4m-r12
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s2r-x2b-pg8
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0sn-ldd-79l
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b5s-gen-zhj
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/vpjt5v26tc
title: FingerprintHarGasFacialDataset

description: This dataset has 116 rows, each one representing one dataset from a set of several public datasets, taken from several different domains (Human Activity Recognition, Gas analysis, Facial expressions recognition using Kinect), so it is actually a meta-data set (a dataset of datasets) as well as different sources: - University of Texas Multimodal Human Action Dataset - Opportunity Activity Recognition - Physical Activity Monitoring for Aging People Version 2 - Mobile Health data set - Daily and Sports Activities - Human Activities and Postural Transitions - Gas Sensor Array Drift - Grammatical Facial Expressions Each of the columns is a feature taken from one of the above mentioned 3 domains: - The first 9 (F0-F8) are taken from the HAR domain - The next 3 (F9-F11) come from the Gas domain - The last 3 (F12-F14) come from the Face expressions domain Notice that there are more rows than public datasets we compiled because for some of them we took pairs of sensors as a different dataset. The label (last column) is the fusion architecture that performed best, from the following ones: 1.- Aggregation of features 2.- Vote with shuffled features 3.- Voting 4.- Voting with CART, LR, and RCF for all features 5.- Multi-View Stacking with shuffled features 6.- Multi-View Stacking 7.- Multi-View Stacking with CART, RCF, and LR 8.-AdaBoost When we found no statistically significant difference between the default method, which was aggregation, then we took this one.
DOI: 10.3535/j9v-ktx-4b4
title: †Paraspirifer Wedekind, 1926

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yag-gbm-nsr
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2x2-fff-ebs
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jwv-2xl-83e
title: †Atrypoidea Gill, 1871

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27290346.v1
title: Adebayo_Research_MultiOmicsAnalysis_2024.pdf

description: this project base on order to find trends and insights that can enhance predictive modeling in a variety of biological and medical contexts, this research focuses on using genomic and epigenomic data for predictive analysis. Predictions about disease outcomes, patient responses to treatments, or biological traits are made more accurate and reliable by combining both genomic (DNA sequence and mutations) and epigenomic (changes affecting gene expression without changing the DNA sequence) omics data.In order to find trends and insights that can enhance predictive modeling in a variety of biological and medical contexts, this research focuses on using genomic and epigenomic data for predictive analysis. Predictions about disease outcomes, patient responses to treatments, or biological traits are made more accurate and reliable by combining both genomic (DNA sequence and mutations) and epigenomic (changes affecting gene expression without changing the DNA sequence) omics data. To find important traits that influence predicted accuracy, key techniques include statistical modeling, machine learning algorithms, and multi-omics data integration. This research investigates how integrating genomic and epigenomic data can enhance predictions, such as disease susceptibility or individualized treatment plans, and result in a more thorough understanding of biological processes.To highlight model performance, feature relevance, and the accuracy gain from multi-omics data integration, the results will be presented utilizing tables, graphs, and charts.<br><br><br>
DOI: 10.17632/ds64k8jjjy
title: Data for: Power quality and reactive power of water electrolyzers supplied with thyristor converters

description: Simulink model of the thyristor rectifier
DOI: 10.3535/dpf-6nf-cmf
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kmp-4nq-bff
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/6xb-vkt-6f9
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/knf-4nr-767
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vjr-nkw-j6n
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/sfvdkmxvbp
title: Supplemental Data Content to 'Data from 81 cases of subtotal cholecystectomy used to generate a multiple logistic regression model to predict postoperative bile leak'

description: This is the supplemental data content for the original paper titled “Multiple logistic regression model to predict bile leak associated with subtotal cholecystectomy” (Surg Endosc 2023 Apr 4:1–9. DOI: 10.1007/s00464-023-10049-2. Epub ahead of print. PMID: 37016083; PMCID: PMC10072799), and data article titled “Data from 81 cases of subtotal cholecystectomy used to generate a multiple logistic regression model to predict postoperative bile leak”. The study was reported according to the preferred reporting of case series in surgery (PROCESS) and transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) guidelines. The data are presented by FAIR (Findable, Accessible, Interoperable, Reusable) principles.  

Multivariable logistic regression revealed two independent predictors of bile leak associated with subtotal cholecystectomy: open-tract STC (odds ratio [OR], 7.07; 95% confidence interval [CI], 2.191–25.89; P = 0.0170) and acute cholecystitis (OR, 5.449; 95% CI, 1.584–23.48; P = 0.0121). The area under the receiver-operating characteristic curve was 82.11% (95% CI, 72.87–91.34; P < 0.0001). Tjur’s pseudo-R2 was 0.3189, and the Hosmer–Lemeshow goodness-of-fit statistic was 4.916 (P = 0.7665).

This supplement for the Mendeley repository provides further details to reproduce the study results. It is organised into sections that follow the structure of the articles. It contains nine tables.
DOI: 10.3535/cc9-kwm-qt0
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hmc-zyg-e0x
title: magnetite quartzite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/my9-b37-r78
title: †Spirifer Sowerby, 1818

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/32r-j2j-w28
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/57r-jkr-2bg
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/er6-h9k-mzx
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vs4-kaa-vrq
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.7011983.v3
title: Plotting Codes

description: Plotting codes<br>
DOI: 10.3535/3gy-er3-4hn
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wza-7lx-6xq
title: Porphyry

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b8k-p00-0r6
title: igneous- and metamorphic rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/p24-ed2-n8w
title: Antiarchi

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11595369.v1
title: TW Hya dust and gas hydrodynamical models with Phantom

description: Data from TW Hya dust and gas hydrodynamical models with Phantom. Related to the publication Mentiplay, Price, and Pinte (2019) "Super-Earths in the TW Hya disc"; for more details, see: https://doi.org/10.1093/mnrasl/sly209.<br>The data format is the Phantom native data format with the version described in the included phantom_version files. For more details on Phantom, see: https://doi.org/10.1017/pasa.2018.25.<br>There are 7 models. 3 dust-gas models with varying inner planet masses: 4, 8, and 16 Earth masses with a fixed outer mass planet. And 4 gas only models with varying outer planet mass: 0.1, 0.3, 1.0, and 2.0 Jupiter masses with fixed inner planet masses.<br>The 3 dust-gas models have two dust species: 0.1 mm and 1 mm. They are each generated from combining two separate single dust grain species calculations by adding the 1 mm dust to the 0.1 mm dust calculation.
DOI: 10.17632/6f2yskwnzy
title: Data for: Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis

description: The data accompanies the article "Framework for the ISO 52016 standard accuracy prediction based on the in-depth sensitivity analysis" which presents the accuracy of ISO 52016-1:2017 standard (the Standard) compared to numerical dynamic simulations in energy modeling software TRNSYS. The comparison has been done for hourly and annual heating and cooling energy needs for all international climate zones defined in the ASHRAE Standard 90.1, 2 building geometries and a huge variety of building properties. The differences between the Standard and TRNSYS have been quantified using the root mean square error (RMSE) and the coefficient of variation of root mean square error (CVRMSE) based on the hourly energy needs, as well as the relative error (RE) based on the annual energy needs. The energy needs have been calculated for a wide range of building properties, resulting in 4608 analyzed cased. Input values for each of those cases can be found in the folder “Input parameters”. The annual heating and cooling energy needs calculated by TRNSYS can be found in the folder “Annual energy needs”. Calculated differences between TRNSYS simulations and the Standard can be found in the folders “CVRMSE”, “RMSE“ and “RE”. A global sensitivity analysis (using Sobol method) has been performed, resulting in sensitivity indices, which can be found in the folder "Sobol indices". Each folder contains a description file regarding the data. The document “Figures.docx” gives a full set of relevant figures, some of which have not been presented in the original paper for brevity reasons. Any additional inquiry about the data set can be sent to the corresponding author, prof. Tea Zakula (tzakula@fsb.hr).
DOI: 10.3535/epd-ncs-5lt
title: Antiarchi

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qwf-raf-d4f
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fvt-887-45e
title: Rapakivi granite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/llb-k5m-9vz
title: Bog ironstone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/13k-akr-tcr
title: Asaphellus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mp0-w22-4gk
title: †Conolichas eichwaldi (Niezskowski, 1857)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/ys7pzfxk9g
title: smFISH image data (part 1): Self-demixing of mRNA copies buffers mRNA:mRNA and mRNA:regulator stoichiometries

description: smFISH raw microscopy data related to Cardona et al., Self-demixing of mRNA copies buffers mRNA:mRNA and mRNA:regulator stoichiometries.

This dataset includes:

1. One-color smFISH image data:
- Channel 1: Cy3 labeled mRNA target spn-4, glp-1, puf-5, tbb-2, or pccb-1.
- If present, Channel 2: GFP labeled macro-condensate marker CAR-1.

2. Two-color smFISH image data:
- Channel 1: Cy5 labeled mRNA target.
- Channel 2: Cy3 labeled mRNA target.
- If present, Channel 3: GFP labeled macro-condensate marker CAR-1.

Reference
Cardona et al., Self-demixing of mRNA copies buffers mRNA:mRNA and mRNA:regulator stoichiometries, Cell (2023), https://doi.org/10.1016/j.cell.2023.08.018
DOI: 10.3535/abh-awc-g7n
title: Porphyry

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e6d-w6s-a6a
title: Antiarchi

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.