cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/0gt-s0m-mgw
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/296-7ea-j0q
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21896577.v1
title: Appendix B. EPMA WDS maps: data extraction

description: Locations of areas extracted from quantitative wavelength dispersive spectroscopy (WDS) maps obtained by electron microprobe analysis. Each area is an inidividual analyses of a mineral grain. Analyses are of minerals in chondrules and associated silica-rich igneous rims in CR chondrites.
DOI: 10.6084/m9.figshare.28455614.v1
title: FA230915120_CL01184_R1_001.fastq.gz

description: The sample was obtained from a patient with Krukenberg tumor, which recurred and metastasized to the ovary following treatment for gastric cancer. The fresh tumor tissue was processed through DNA extraction and whole-exome capture, and then sequenced.
DOI: 10.6084/m9.figshare.3382756.v1
title: Antibiotic resistance and corruption regression table

description: This Table accompanies our reply to critics of our PLoS paper dealing with the strong association of levels of corruption in countries and the levels of antibiotic resistance seen in those countries
DOI: 10.6084/m9.figshare.6086114.v2
title: Uploaded file 6: Tree file for figure 3 b (465 orthologs)

description: A tree file for the tree of 465 orthologs presented as Figure 3B.
DOI: 10.3535/fbb-0xp-0ss
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.23915898.v1
title: U.S. State data with Google Trends search data, reproductive outcomes, and sex education policy.

description: The dataset contains information collected for all U.S. states on sex education policies, reproductive outcomes (births and abortions), and Google Trend data.
DOI: 10.3535/13g-4g5-9pn
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3ez-p53-2hd
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14781390.v1
title: Paraphyrnus_aztecus_raw_photos

description: Raw photos from which pedipalp outlines were constructed for the paper "Assessing the patterns and drivers of shape complexity in the amblypygid pedipalp", Ecology and Evolution, 2021
DOI: 10.17632/ddsm28zgkj
title: Evaluation of the physical-chemical degradation of biodegradable plastics sold in supermarkets

description: The present investigation proposed to evaluate the
degradability of plastic materials declared publicly as biodegradable
plastics. Its physical and mechanical properties were determined.
Likewise, the materials were characterized by Fourier Transform
Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy
(SEM).
Two plastics declared as biodegradable (TA and TB) and a
conventional plastic such as Polyethylene (TC) were selected, which
were subjected to different environments such as water, soil and
weather, the study was carried out for a period of 4 months.
It was determined that the biodegradable plastic TA presented a
greater weight loss when subjected to soil and water, while TB and
TC did not present significant changes in these media. The TB
sample presented the greatest weight loss when exposed to the
elements. When subjected to mechanical tests, it was observed that
the TA samples showed a greater decrease in the properties of
maximum resistance and deformation. This behavior was
corroborated with SEM, where TA was the one that showed the most
signs of degradation when exposed to different media, TB plastic,
despite being sold as a biodegradable material, showed slight
changes in its morphology like TC plastic. While the FTIR analysis
revealed slight variations in their peaks and in the absorbances of
the regions corresponding to the biodegradable molecules.
Keywords- Starch, plastics, biodegradable, polyethylene.
DOI: 10.17632/rg6g22y5t4
title: Synthesis of almost stoichiometric nanosized cathode materials Li1-xNi1+xO2 by a combined method and study of their physical and electrochemical characteristics: Impedance spectroscopy 

description: Almost stoichiometric nanosized materials with the composition Li1-xNi1+xO2  were synthesized by the combined method. The following samples were prepared: Sample 4 - Li:Ni ratio 10:1, thermal treatment temperature T = 700C, treatment time t = 60 min, composition Li0.98Ni1.02О2; Sample 6 - Li:Ni ratio 10:1, thermal treatment temperature T = 700C, treatment time t = 30 min, composition Li0.79Ni1.21О2. The impedance was studied with a Solartron-1260 impedancemeter (AMETEK, Inc. (NYSE:AME), Solartron analytical, USA/UK) in the frequency range 0.1 – 10^7 Hz. Electrodes on the flat surface of the sample were created by magnetron sputtering of a thin layer of platinum. Then the sample with deposited electrodes can be considered as a flat capacitor.
DOI: 10.3535/ce6-sx2-9hx
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/n61-87y-98c
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25452/figshare.plus.26841427.v1
title: Molecular dynamics simulation of the DH270.6 and CH235.12 HIV-1 broadly neutralizing antibodies with the HIV-1 Envelope glycoprotein

description: Molecular dynamics simulation datasets for the DH270.6 (DH270.6_Trajectories.tar) and CH235.12 (CH235.12_Trajectories.tar) broadly neutralizing antibody (bnAb) variable domains interacting with HIV-1 antigen fragments derived from individuals CH848 and CH505. Datasets comprise 250 nanosecond simulations in Amber NetCDF format. These simulations were used to prepare Markov state models (MSMs) of the association between the variable domains and the antigen fragment from the unbound state. The MSMs were then used to identify key transition states in the association process that facilitate binding. To design vaccines capable of selecting specific antibody mutations from germline, we identified transition states that involved or could involve those mutations for design. We then modified the antigen such that introducing the target antibody mutation would result in a substantial increase in affinity with the designed antigen based on the transition state structure(s). We showed that this design approach was successful for two HIV-1 Envelope bnAbs targeting distinct epitopes and that immunization with the designed antigens resulted in enhanced selection of key, target antibody mutations. The MSMs built from these datasets were crucial for guiding this design approach and shed light on the difficult-to-observe structural states that characterize protein-protein interaction formation.
DOI: 10.3535/6hb-xvv-rpe
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ahp-aqn-m27
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14906778.v1
title: The Role of Population Density and the Elements of Weather in the Spread of COVID-19 in Nigeria: A Negative Binomial Regression Model Approach

description: This is a data on population density, temperature, rainfall and humidity<br>
DOI: 10.17632/vdwv5kt52p
title: Kohonen Self Organizing Map (SOM)-Aided Predictions Of Aquifer Water Struck Levels In The Merti Aquifer, Northern Kenya

description: The aquifer water struck levels in the Merti aquifer were assessed using the Kohonen Self-Organizing Maps algorithm, which employs the Neural Networks. This algorithm mimics the biological sensory and motor neurons. The variable was inferred via predicting the aquifer ground water levels , then subtracting the same from the elevations, measured in meters above the sea levels, of the proposed well point mapped, which is one of the three variables generated using the hand-held GPS. The objective of the study is to help develop a simple prediction model for aquifer well depths in the Merti aquifer, to be used alongside the geoelectrical models generated during geophysical surveys, so as to enhance and modernize groundwater management plan for the Merti Aquifer. Data on well hydraulics for the Isiolo, Garissa and parts of Wajir (south) counties were used to generate the model predictors, employing the Kohonen R package, which clusters and predicts variables using this neural network algorithm developed by Teuvo Kohonen. The algorithm was then used to predict the expected groundwater levels of a new area that has not been developed, and this value was subsequently subtracted from the elevation levels, thereby generating water struck levels. The variables employed to achieve this task were longitudes, latitudes, elevation, aquifer depth, resistivity, and the groundwater levels, (gwl) in meters (below ground level) bgl. To predict the gwl of a newly proposed drilling point, the hydrogeological data was run on R platform and models generated inferred and interpreted.The new model was then used to predict the gwl of the new site. Subtracted from elevation of the area, wsl was derived, thusThe study concludes that the neural network SOM mapping algorithm is an accurate predictor of the wsl in the Merti aquifer, as it clusters geological zones bearing the same groundwater levels and aquifer depths together. It should therefore be a useful stochastic hydrological tool for decision making on matters groundwater development in the Merti aquifer.
DOI: 10.3535/r6j-79s-k9x
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ws6-9k6-2rn
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bpj-9ax-jyr
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/sax-aak-hg3
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21629888.v1
title: data_10.1016/j.rser.2019.109487.xlsx

description: This is the dataset used for the publication "Unraveling the literature chaos around free ammonia inhibition in anaerobic digestion", by Capson-Tojo et al. (DOI: https://doi.org/10.1016/j.rser.2019.109487)
DOI: 10.6084/m9.figshare.24843780.v1
title: Pandikannan K PhD Thesis

description: Supplementary File_1 : Significant genes of SARS-CoV at each time point after meta-analysis.Supplementary File_2 : Significant genes of MERS-CoV at each time point after meta-analysis.Supplementary File_3 : GSEA KEGG analysis results for SARS-CoV-2 positive patients compared with the healthy patient samples.Supplementary File_4 : List of the differentially expressed genes between the healthy and SAR-CoV-2 infected groups in individual datasets before proceeding to meta-analysis.Supplementary File_5 : List of significant genes identified through Fisher’s method of meta-analysis and the robust genes identified through the meta-analysis approach.Supplementary File_6 : The highly discriminatory features that can separate between NVARI, ORVARI and SC2ARI are sorted based on their RReliefF score that explains the potential of the feature to classify efficiently.Supplementary File_7 : The highly discriminatory features that can separate between Non-severe and Severe COVID-19 patients are sorted based on their RReliefF score that explains the potential of the feature to classify efficiently.Supplementary File_8 : Viral reads aligned to each sample in the three Asian Gastric cancer datasets.Supplementary File_9 : Genes dysregulated significantly in each dataset and the robust genes identified through rank-based meta-analysis
DOI: 10.3535/lh1-0kp-73g
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/w6r-gjj-brk
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28106738.v1
title: <b>The Role of Knowledge Management Practices in Advancing Educational Infrastructure and Human Resource Development: Moderating Effects of Support and Readiness</b>

description: a brief description of each keyword in the context of this study:<b>Knowledge Management Practices (KMP)</b><br>KMP refers to the strategies, methods, and processes that organizations use to capture, distribute, and effectively utilize knowledge within the institution. This includes activities like knowledge sharing, collaboration, documentation, and the use of technology to manage and disseminate knowledge. In higher education, KMP plays a vital role in enhancing learning, teaching, and administrative processes.<b>Institutional Support (IS)</b><br>Institutional Support refers to the resources, policies, and strategies provided by the organization (such as universities or colleges) to facilitate the integration of new practices and technologies. This support may include financial resources, training programs, infrastructure, leadership, and organizational policies that encourage innovation and enhance overall institutional performance.<b>Technological Readiness (TR)</b><br>Technological Readiness is the preparedness of an institution to adopt and implement technology, including its infrastructure, digital tools, and the capabilities of its staff and faculty. It refers to how well institutions are equipped to integrate technology into their operations and how ready the personnel are to utilize these tools effectively in their work.<b>Educational Infrastructure (EI)</b><br>Educational Infrastructure encompasses the physical, technological, and organizational structures that support the delivery of educational services. This includes classroom facilities, libraries, technological tools (e.g., learning management systems), and other resources necessary for effective teaching and learning. A strong educational infrastructure enables the smooth integration of new teaching and learning practices.<b>Human Resource Development (HRD)</b><br>Human Resource Development refers to the activities and processes aimed at improving the knowledge, skills, and capabilities of the staff and faculty within an institution. It involves training, professional development, career progression, and organizational learning, aimed at enhancing both individual performance and institutional effectiveness in achieving strategic goals.Each of these concepts is crucial in determining the effectiveness of digital integration and institutional performance in higher education. They interact with each other to create a dynamic environment where knowledge, technology, and people work together to improve educational outcomes.
DOI: 10.17632/ct5ppst6t2
title: Seaglider Sg628 data for interleaving layers in the Kuroshio east of Taiwan

description: Seaglider Sg628 data for the paper entitled "Glider observations of interleaving layers beneath the Kuroshio primary velocity core east of Taiwan and analyses of underlying dynamics" published in Scientific Reports (2019). The data of salinity are in Matlab mat format.
DOI: 10.3535/efd-2r8-82x
title: Zacanthoides

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ptc-b2s-lc8
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25403/upresearchdata.22126433.v1
title: Manufacturing variation for polymer composites

description: Complete dataset which accompanies the thesis entitled 'A statistical study of the effect of manufacturing methods on the mechanical properties of high-density polyethylene/layered double hydroxide composites'. The dataset includes: all the historical tensile data from 2016 until 2020 along with the associated mechanical properties. the thesis tensile data with mechanical properties and the summary statistics used in the statistical analysis. the literature data considered during the systematic literature review for reproducibility.
DOI: 10.3535/vxg-ag7-7aa
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.23654001.v2
title: Road Network Selection

description: The source codes that support the paper '<b>Automatic road network selection method considering functional semantic features of roads with graph convolutional networks</b>' published in the International Journal of Geographical Information Science.Abstract: Road network selection plays a key role in map generalization for creating multi-scale road network maps. Existing methods usually determine road importance based on road geometric and topological features, few evaluate road importance from the perspective of road utilization based on human travel data, ignoring the functional values of roads, which leads to a mismatch between the generated results and people’s needs. This paper develops two functional semantic features (i.e., travel path selection probability and regional attractiveness) to measure the functional importance of roads and proposes an automatic road network selection method based on graph convolutional networks (GCN), which models road network selection as a binary classification. Firstly, we create a dual graph representing the source road network and extract road features including six graphical and two functional semantic features. Then, we develop an extended GCN model with connectivity loss for generating multi-scale road networks and propose a refinement strategy based on the road continuity principle<b> </b>to ensure road topology. Experiments demonstrate the proposed model with functional features improves the quality of selection results, particularly for large and medium scale maps. The proposed method outperforms state-of-the-art methods and provides a meaningful attempt for artificial intelligence models empowering cartography.<b>Keywords</b>: road network selection; graph convolutional network; functional features; map generalization; POI data
DOI: 10.3535/2be-a0p-6jh
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3fm-458-4mk
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/knr3ctxj8d
title: UCLi025-A hiPSC line

description: A human induced pluripotent stem cell (hiPSC) line (UCLi025-A) was generated from dermal fibroblast cells from a 42-year-old female donor with polyneuropathy, hearing loss, retinitis pigmentosa and early-onset cataract (PHARC) syndrome carrying a homozygous nonsense variant in ABHD12 c.193C&gt;T, p.(Arg65*). Fibroblasts derived from a skin biopsy were confirmed to carry the variant by Sanger sequencing and subsequently reprogrammed using non-integrating episomal plasmids generating a human induced pluripotent stem cell (hiPSC) line (UCLi025-A). This established cell line was validated for pluripotency markers expression, in vitro differentiation potential and normal karyotype. The utilization of this cell line will serve as a valuable resource for modelling PHARC syndrome, identification of therapeutic targets, and conducting drug screening.
DOI: 10.3535/vk5-ckk-4nw
title: †Proetus cuvieri Steininger, 1831

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zvd-wmf-hgq
title: †Cordiopsis polytropa (H.-J. Anderson, 1958)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24476668.v1
title: procurement_contracts_2009_2022.zip

description: This is the base data necessary to reproduce the networks and derived statistics/datasets used in the article.
DOI: 10.6084/m9.figshare.c.3701968_d8.v1
title: Additional file 6: of ITIH5 mediates epigenetic reprogramming of breast cancer cells

description: Primer sequences and PCR conditions for MSP analyses. This table illustrates the sequences of all primers used in this study for MSP analysis. (XLSX 10Â kb)
DOI: 10.17632/xzyng774cy
title: BOLD MRI Data

description: BOLD MRI T2* data files and MATLAB script for post-image analysis to identify regions of hypoxia and potential normoxia within a murine GBM model
DOI: 10.3535/4nk-wcl-dk3
title: Trochus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8cv-n1r-99k
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/knn-cfl-1jp
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.cmggh7
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((33.65357 44.0042,35.5624 44.0042,35.5624 45.36565,33.65357 45.36565,33.65357 44.0042))",
 "TaxonKey is Pulsatilla taurica Juz."
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009595-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/338-d5g-e4f
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lwk-jjb-mjj
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/97b95mh3wr
title: Semantic Activation of Phonetic Radicals

description: The complete semantic relationship rating results
DOI: 10.3535/8cz-vqg-jpn
title: †Atrypa Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/h2p-5kn-xdy
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/cf7cy84ydy
title: Data for: Elicitation and prioritization of requirements for electronic health records for oncology in low resource settings

description: This dataset contains clustering data for statements of requirements for an electronic medical records system for oncology in low and middle income countries (LMICs). It is a matrix with similar rows and columns. The numbers indicate how often the statement in the row was put in the same cluster as the statement in the column. The clustering exercise was completed by stakeholders in oncology in LMICs.
DOI: 10.3535/6sn-7lh-8ds
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7dw-qgg-1xd
title: †Volborthella tenuis Schmidt, 1888

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.7817678.v2
title: Copy Number Data

description: Intermediate CN files