cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6229466.v1
title: SING 2017 source data

description: This is the source data for 'Streamwatch Indications for New Guidelines report, SING 2017'.The report was written using data collected by 32 Streamwatch groups across 63 monitoring sites in the Greater Sydney region. This data was derived from measurements taken between December 1990 and June 2016. In all, 32,125 recorded parameter values were utilised in the analysis.The Streamwatch data archive is much larger than the dataset used here, however for purposes of volunteer utility, sub-catchment relevant scale, contemporary relevance and statistical strength, only site records for groups active as of June 2016 and having reasonable duration time series, were used for the report. A similar approach utilising a much bigger dataset is possible if all records from 'Streamwatch historical survey data December1990-June2016' were included, however data quality is more uncertain.
DOI: 10.17632/rj58z7xjv2
title: Data for: Experimental and numerical analysis of a cement based thermal energy storage system with a helical heat exchanger

description: The datasets presented here contain temporally highly resolved temperature measurements of cyclic charging/discharging experiments at 60 and 80°C within the water-saturated cementitious storage medium and the laboratory temperature, as well as measurements of the transient boundary conditions: the temperature in the inlet and outlet pipes and the flow rate of the circulating heat transfer fluid (water). In addition, the geometry and materials of the experimental setup of the laboratory-scale prototype are presented. The experimental data set can be used to determine the storage characteristics, i.e. quantities such as storage capacity, charging/discharging rates, energy efficiency as well as to determine the thermal losses of the storage module. The data sets are also useful for the validation of storage models like the one presented in Nordbeck et al [in revision] or related geothermal systems like borehole heat exchangers or energy piles with helical heat exchangers.
DOI: 10.3535/ftf-a47-jm9
title: Chrome-Diopside

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t0r-0h2-n3z
title: Chrome-Diopside

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12936536.v2
title: Spatial variables Soysambu snaring research

description: The zip file contains a R raster file (spat_vars_Soysambu.grd, spat_vars_Soysambu.gri). <br>This is a number of rasters ("brick"), with the variables: "DEM","SAVI","bushes","bush_edges","dist_communities","dist_roads","dist_boundaries","dist_infrastructure".DEM=Digital Elevation Model from ASTERSAVI=Soil Adjusted Vegetation Index, via Sentinel imagebushes=kNN clustered SAVI file, simplified for bush/open areabush_edges=bushes file after focal (moving window) operation, aimed at bringing out bush edges.dist_communities=distance to communities surrounding the conservancy;dist_roads=distance to roads dissecting the conservancy;dist_boundaries=distance to the conservancy's boundaries;dist_infrastructure=distance to park infrastructure (gates,settlements,offices).<br>Read the file, after starting R, by:<br>library(raster)raster::brick("/path/to/file/spat_vars_Soysambu.grd")
DOI: 10.3535/jth-z99-66z
title: Pargasite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/whr-kzy-lya
title: Chrome-Diopside

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1083788.v2
title: Files to accompany "Examining the role of red background in magnocellular contribution to face perception"

description: Published in PeerJ
DOI: 10.6084/m9.figshare.27644664.v1
title: HMRLBA-dataset-pdbbind.tar.gz

description: HMRLBA-dataset-pdbbind.tar.gz
DOI: 10.6084/m9.figshare.c.3801535_d5.v1
title: Additional file 5: of Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences

description: This file contains Gini importance of each feature type in random forest. (XLSX 86Â kb)
DOI: 10.15131/shef.data.19383521.v1
title: Dataset for Paper "Digital twin based testing for cyber-physical systems: A systematic literature review"

description: An excel spreadsheet containing exported metadata collected during a systematic literature review on digital twin based testing for cyber-physical systems.<br>
DOI: 10.3535/4rx-plw-b2l
title: Pargasite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/61x-99d-kn9
title: Chrome-Diopside

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/a42-ce3-6mr
title: Columbite-(Mn)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/w7r-w9x-y6f
title: Chrome-Diopside

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.3559449.v1
title: Appendix C. Tests of models assumptions.

description: Tests of models assumptions.
DOI: 10.17632/bvwzxyptsk
title: Economic Data

description: Graph, map and compare more than 1,000 time series indicators from the World Development Indicators.
DOI: 10.3535/j2y-7sn-ta3
title: Eurypterida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xs2-yht-3gk
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5817837.v1
title: Supplemental_Tables_S1-S8.xlsx

description: Supplemental Tables S1-S8This data accompanies the bioRxiv pre-print version of the manuscript.
DOI: 10.3535/51x-zaf-xqk
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yvg-j2b-3qh
title: Eurypterida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22591410.v1
title: Insulin resistance in patients with cancer: a systematic review and meta-analysis

description: Insulin resistance is a critical cause of metabolic dysfunctions. Metabolic dysfunction is common in patients with cancer and is associated with higher cancer recurrence rates and reduced overall survival. Yet, insulin resistance is rarely considered in the clinic and thus it is uncertain how frequently this condition occurs in patients with cancer. To address this knowledge gap, we performed a systematic review and a meta-analysis guided by the Preferred Items for Systematic Review and Meta-Analyses (PRISMA) statement. We included studies assessing insulin resistance in patients with various cancer diagnoses, using the gold-standard hyperinsulinemic–euglycemic clamp method. Studies eligible for inclusion were as follows: (1) included cancer patients older than 18 years of age; (2) included an age-matched control group consisting of individuals without cancer or other types of neoplasms; (3) measured insulin sensitivity using the hyperinsulinemic–euglycemic clamp method. We searched the databases MEDLINE, Embase, and Cochrane Central Register of Controlled Trials for articles published from database inception through March 2023 with no language restriction, supplemented by backward and forward citation searching. Bias was assessed using funnel plot. Fifteen studies satisfied the criteria. The mean insulin-stimulated rate of glucose disposal (Rd) was 7.5 mg/kg/min in control subjects (<i>n</i> = 154), and 4.7 mg/kg/min in patients with a cancer diagnosis (<i>n</i> = 187). Thus, the Rd mean difference was −2.61 mg/kg/min [95% confidence interval, −3.04; −2.19], <i>p</i>&lt;.01). Heterogeneity among the included studies was insignificant (<i>p</i>=.24). These findings suggest that patients with a cancer diagnosis are markedly insulin resistant. As metabolic dysfunction in patients with cancer associates with increased recurrence and reduced overall survival, future studies should address if ameliorating insulin resistance in this population can improve these outcomes thereby improving patient care.Key pointsMetabolic dysfunction increases cancer recurrence rates and reduces survival for patients with cancer.Insulin resistance is a critical cause of metabolic dysfunctions.To date, no comprehensive compilation of research investigating insulin resistance in cancer patients has been produced.In this meta-analysis, we found that patients with various cancers were markedly insulin-resistant. Metabolic dysfunction increases cancer recurrence rates and reduces survival for patients with cancer. Insulin resistance is a critical cause of metabolic dysfunctions. To date, no comprehensive compilation of research investigating insulin resistance in cancer patients has been produced. In this meta-analysis, we found that patients with various cancers were markedly insulin-resistant.
DOI: 10.6084/m9.figshare.24036564.v1
title: Stability of Monkeypox Virus in Body Fluids and Wastewater

description: The outbreak of human monkeypox has highlighted knowledge gaps in potential environmental exposure risks. This data shows that monkeypox can remain infectious on surfaces for up to 2-3 weeks. Monkeypox is more stable in a liquid environment, whereas drying reduces the half-live. A highly proteinaceous environment like blood and semen protects against decay irrespective of the matrix state.
DOI: 10.3535/7fy-9w2-ysv
title: Eurypterida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ela-z2c-nr2
title: Eurypterida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14721297.v1
title: BCI classification task

description: Seven healthy volunteers (3 male and 4 female) participated in the study, all were right-handed and between the ages of 23 to 30 (mean age 28). All participants gave written, informed consent to participate in the study. Participants were seated in a chair at a distance of 80 cm from an LCD screen with both hands resting on a table. They held a tennis ball in each hand and were told to remain relaxed and strive to minimize movement and eye blinks. When required to respond, they were to squeeze the tennis ball in their hand but try to avoid tensing their arms or shoulders. Each session (ME and MI—Figure 2) was repeated twice. The whole experiment thus consisted of four sessions. Every session lasted 30–40 minutes with 10 to 15 minutes breaks between sessions. The duration of the whole experiment, including setup, was kept below 3 hours to minimize fatigue. EEG data was recorded and sampled at 250 Hz using 63 active electrodes (BrainVision actiCHamp) placed according to the 10/20 montage. Bipolar electromyography (EMG) electrodes were placed on the Brachioradialis for both hands as a sanity check for any movement in MI session.Sessions 1 and 3 were designed to identify EEG signals related to ME. Participants were instructed to squeeze the tennis ball with their right or left hand while fixating on the cross displayed on the screen. They were encouraged to minimize all other movement and to only use the designated hand. One hundred trials were collected for each hand.Session 2 and 4 aimed to show that a decoding model based on actual ME, derived from the first session, could be used to decode EEG activity in the absence of execution. Participants were instructed to carry out MI of the repetitive hand movement instructed in session 1 while fixating on the cross displayed on the screen. One hundred trials were collected for both left and right imagination per each session. All other aspects of the task were identical to session 1. This session also allowed us to screen participants for the presence of motor-related EEG oscillations, and at least minimal voluntary control over these oscillations. Hence, overall, we collected 200 trials of ME and 200 trials of MI for each subject.<br>The dataset was saved to Matlab data file (X1.mat, X2.mat, ... X7.mat).<br>Each data file includes Xsr, Xsi ,ysr ,ysi.s : subject IDr : real or motor execution (ME)i : motor imagery (MI)<br>X [trial, sample, channels]y label: 1 and 3(left) , 2 and 4(right)<br>**ME is 4s and MI is 6s. In our dataset, we put one second before the ME and MI. In total, ME file has 5s (1s break+ 4s ME task) and MI file has 7s (1s break+ 6s ME task)**<br>
DOI: 10.6084/m9.figshare.5063077.v3
title: Depth-Based Recognition of Shape Outlying Functions

description: A major drawback of many established depth functionals is their ineffectiveness in identifying functions outlying merely in shape. Herein, a simple modification of functional depth is proposed to provide a remedy for this difficulty. The modification is versatile, widely applicable, and introduced without imposing any assumptions on the data, such as differentiability. It is shown that many favorable attributes of the original depths for functions, including consistency properties, remain preserved for the modified depths. The powerfulness of the new approach is demonstrated on a number of examples for which the known depths fail to identify the outlying functions. Supplementary material for this article is available online.
DOI: 10.3535/awc-9tb-s0q
title: Eurypterida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5239615.v5
title: CCAFS-CMIP5 Delta Method Downscaling database

description: We apply a downscaling method, called Delta Method, based on thin plate spline spatial interpolation of anomalies (deltas) of original GCM outputs. Anomalies are interpolated between GCM cell centroids and are then applied to a baseline climate given by a high resolution surface (i.e. WorldClim 1.4 , http://www.worldclim.org/). The process consists in the following steps: 1) Calculation of 30-year averages for present day simulations and 4 future periods; (2) calculation of anomalies as the absolute difference between future and present day values in temperatures (minimum and maximum) and proportional differences in total precipitation; (3) interpolation of these anomalies using centroids of GCM cells as points for interpolation; and (4) addition of the interpolated surfaces to the current climates from WorldClim<br>WorldClim and full GCM timeseries are freely available in the internet, whilst all other calculations are carried out by means of Geographic Information Systems (GIS) software. Used formats are NetCDF (for GCM outputs), ESRI-GRID (for WorldClim and final downscaled data), and ESRI-ASCII grids for providing standard and easy-of-use outputs to potential users of the data.<br>CCAFS and its partners have processed this data to provide seamless continuous future climate surfaces. This work is licensed under a Creative Commons Atribution 4.0 International (CC BY 4.0). Users should acknowledge CCAFS as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set.
DOI: 10.3535/gy0-fvk-wl0
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lcg-vbd-b1h
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qgb-vwe-prd
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.10996616.v2
title: The key Research Variables

description: The document contains questionnaire on service quality and customer satisfaction and loyalty
DOI: 10.6084/m9.figshare.14502177.v1
title: Pristionchus pacificus csu60 Whole Genome Sequence

description: Whole genome sequencing data of <i>Pristionchus pacificus</i> dauer constitutive mutant allele, <i>csu60</i>.
DOI: 10.6084/m9.figshare.24933285.v1
title: deepstomata

description: deepstomata model weight file, images and svm weight files. CC-BY-NC-4.0
DOI: 10.3535/02f-9tp-655
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gvg-n86-m7a
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27221241.v14
title: A Genetic Algorithm with Convex Combination Crossover for Software Team Formation: Integrating Technical and Collaboration Skills [Supplementary Material]

description: Supplementary material
DOI: 10.6084/m9.figshare.3427322.v5
title: Genome-wide chromatin and gene expression profiling during memory formation and maintenance in adult mice. [Data Record 1: Freezing percentages]

description: <b>D</b><b>escription</b><br>A group of mice was trained and tested for memory retrieval 4 weeks after context (C) or context shock (CS) exposure (10 mice per condition). Several mice have also been tested for freezing behavior 30 minutes and 24 hours after exposure to shock (10 and 14 mice, respectively), and compared with basal freezing behavior. The motion of mice was tracked and the percentage of freezing (i.e. percentage of total testing time the mice were recorded as frozen) was calculated using the Video Freeze ® automated monitoring system (Med Associates). The table contains the freezing percentages separated by tested time after exposure and conditioning.<br>
DOI: 10.3535/san-448-ce1
title: Eurypterida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5051596.v3
title: Short-term EEG dynamics and neural generators evoked by navigational images

description: Data from the paper entitled: "Short-term EEG dynamics and neural generators evoked by navigational images"<br>Files structure is as stated in: filestructure.txt<br>Raw data from subjects.All recordings were unipolar against the left earlobe electrode Vertical eye movements (EOG) were recorded unipolarly against the common reference and horizontal EOG was recorded bipolarly. All electrode impedances were maintained below 5 kΩ. Scalp potentials were amplified by ANT DC-amplifiers (ANT, the Netherlands) and digitized with a rate of 2.048 Hz, a resolution of 16 bit (range 11 mV). A band pass from DC to 256 Hz and a notch filter (47.5-52.5 Hz) were also applied.
DOI: 10.17632/kh3bskd2ms
title: Pre-pregnancy GLP-1RA use improves maternal lipid metabolism via liver-secreted FGF21 during pregnancy in HFD fed dams

description: Supplemental material of Pre-pregnancy GLP-1RA use improves maternal lipid metabolism via liver-secreted FGF21 during pregnancy in HFD fed dams
DOI: 10.3535/9ca-3p3-avm
title: Craniidae Menke, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mgl-fa6-bt6
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vt2-2xs-hac
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.3557547.v1
title: Supplement 1. Meta-data used in the analyses.

description: File List Sheet1_AllTrophicLevels_RawSpeciesRichness.csv (MD5: 1c6a74635b9d434c17d57b5e01956e37) Sheet2_AllTrophicLevels_EqualSpeciesRichness.csv (MD5: bcbb140e77975d7b4c05bcea81d80dc4) Sheet3_Predators_Scale_TD.csv (MD5: f8991b46252038707c93524494b0a614) Description The supplement contains three sheets corresponding to different analyses reported in the main text. The data all show the standing stock of resources for the final time points of substitutive biodiversity experiments. Sheets 1 and 2 is data for diversity effects of experiments manipulating predators, herbivores, detritivores and plants. The highest level of richness used in experiments (which varied across studies - see main text <i>Methods</i>) was considered to calculate richness effect sizes shown in Sheet 1. Meanwhile, only data for species richness levels 3–4 was used (3 was only used in absence of a richness level of 4) to calculate richness effect sizes shown in Sheet 2. Sheet 3 focuses on effects of predator manipulations and factors hypothesized to influence these effects. Note that experiment #136 was excluded from the data-set in Sheet 3 as TD could not be calculated since multiple compositions were used in the high diversity treatment. In all sheets, the column ‘Study’ indicates the particular study (from a single publication noted in the ‘Ref’ column) within which a single or multiple individual experiments (‘Expt’) were performed. ‘LR_mean’ and ‘LR-max’ are the log-response ratios used to describe effects of predator diversity as detailed in the main text, and have corresponding variances and 95% confidence intervals (CIs). In Sheet 3, individual measures of spatial (ln_spscale) and temporal (ln_temporal) scales are shown, in addition to the synthetic measure of ‘scale’ derived from principal component analysis (Scale (PC1)); finally, taxonomic distinctness (TD) of predator species in the high diversity mixture of each study is shown after it was mean-centered and scaled (to SD units) (i.e., TD(scaled)).
DOI: 10.3535/zrk-bgg-1n7
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/ccgh2wpc5j
title: Data for: Sandwiched visual stimuli are perceived as shorter than the stimulus alone
DOI: 10.3535/dp1-l6h-wwq
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x16-d68-khs
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1019853.v3
title: Simultaneous determination of eight antibiotics from distinct classes in surface and wastewater samples by solid-phase extraction and high-performance liquid chromatography–electrospray ionisation mass spectrometry

description: A reliable multiclass method has been developed and validated for the determination of eight antibiotics from distinct classes (sulfonamides, macrolides, fluoroquinolones, tetracyclines, cephalosporins and dihydrofolate reductase inhibitors) in wastewater – influent and effluent – and surface water from Porto Alegre, Brazil. The pre-concentration and clean-up was conducted with a simple and fast protocol using solid-phase extraction allowing a 100-fold concentration factor. The proposed method was validated by using spiked blank wastewater samples in terms of linearity, repeatability, reproducibility, recovery, matrix effects and limits of detection and quantification. Recovery was obtained in the range of 66–149%. Method limit of quantification ranged between 1.6 and 61.7 ng L<sup>−1</sup>. Samples (<i>n</i> = 16) were taken from January to August 2011 in one wastewater treatment plant, which uses conventional biological treatment. Sulfamethoxazole and trimethoprim show higher concentration, ranging from &gt;10 to &lt;6500 ng L<sup>−1</sup>, whereas erythromycin presented the lower amount. Differences between influent and effluent profiles were discussed. Surface water samples (<i>n</i> = 8) were collected in Arroio Diluvio, in four sampling points, in February 2012. From the eight antibiotics analysed, five were detected: sulfamethoxazole, trimethoprim, azythromicyn, ciprofloxacin and norfloxacin, in a concentration range of 376–572 ng L<sup>−1</sup>, 27–94 ng L<sup>−1</sup>, 24–40 ng L<sup>−1</sup>, 16–66ng L<sup>−1</sup> and 30–54 ng L<sup>−1</sup>, respectively.