cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1184/r1/25213076.v1
title: Data for "Ecological sound loudness in environmental sound representations"

description: The dataset contains average source recognition accuracy, familarity responses, and pleasantness ratings for all sounds across two level conditions: (1) Ecological level condition, and (2) Equal level condition. This data was collected to understand if ecological loudness is preserved in sound representations.
<br>
This data was published in the following paper:
Oszczapinska, U.,  Heller, L. M., Jang, S., & Nance, B. (2024). Ecological sound loudness in environmental sound representations. Express Letters in JASA.  
https://doi.org/10.1121/10.0024995
<br>
If this data is used in any way, we ask that you cite this repository and our paper.
DOI: 10.3535/4bf-0tc-bvh
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/db1-g2l-md3
title: Phacopid

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qz6-9jf-aht
title: †Heterotrypa Nicholson, 1879

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25239475.v1
title: EWAS meta-analysis of frailty in two European twin cohorts

description: EWAS summary statistics for the paper "Epigenome-wide analysis of frailty: results from two European twin cohorts" by Mak et al. (2024).<b>Method:</b><b> </b>We first performed four cross-sectional EWASs of the frailty index (FI) in SATSA 450K, SATSA EPIC, LSADT 1997, and LSADT 2007 samples using generalized estimating equations where DNA methylation levels of CpG sites (i.e., normalized <i>β</i> values, representing proportion of methylation) were used as the dependent variables and FI as the independent variable. The models were adjusted for age, sex, smoking, and body mass index (BMI). Both twins from each pair were included in the models, and we accounted for twin relatedness using cluster-robust standard errors. The models in LSADT were additionally adjusted for batch and estimated cellular compositions (CD4 cells, CD8 cells, natural killer cells, monocytes, granulocytes, and B cells). We considered the FI both as a continuous variable (per 0.1 increase) and a 3-group categorical variable (frail vs. non-frail and prefrail vs. non-frail). Afterwards, a fixed-effect inverse variance weighted meta-analysis was performed using the metafor R package. The meta-analysis included 368,249 CpGs that were available in the 450K samples (i.e., SATSA 450K, LSADT 1997, and LSADT 2007). Potential heterogeneity was assessed using the <i>I</i><sup>2</sup> value. CpGs associated with either the continuous or categorical FI at a false discovery rate (FDR) &lt;.05 were considered as statistically significant.<b>List of EWAS datasets:</b>"<i>EWAS_FI_cont_summary_stat.txt</i>": EWAS summary statistics of the continuous FI"<i>EWAS_frail-vs-nonfrail_summary_stat.txt</i>": EWAS summary statistics of the categorical FI (frail vs. non-frail)"<i>EWAS_prefrail-vs-nonfrail_summary_stat.txt</i>": EWAS summary statistics of the categorical FI (prefrail vs. non-frail)<br>
DOI: 10.6084/m9.figshare.27151170.v1
title: <b>PM</b><sub><strong>2.5</strong></sub><b>, urbanization rate, and urban coordinated development capacity datasets of 36 cities.</b>

description: <b>PM</b><sub><strong>2.5</strong></sub><b>, urbanization rate, and urban coordinated development capacity datasets of 36 cities.</b>
DOI: 10.6084/m9.figshare.27951621.v1
title: Prefrontal Cortex Contribution in Transitive Inference Task Through the Interplay of Beta and Gamma Oscillations

description: The present repository contains MATLAB (MathWorks, R2020a) codes used for the statistical analyses.
DOI: 10.3535/1yw-wk8-6es
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lss-k28-5ej
title: †Proavella proava (Eichwald, 1842)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26067511.v1
title: Topological Identification and Interpretation for Single-cell Epigenetic Regulation Elucidation in Multi-tasks using scAGDE

description: We generated a total of 17 simulated datasets from bulk ATAC-seq data of bone marrow, which contains six FACS-sorted cell populations. Following a previously published benchmarking framework for scATAC-seq tools, we set the parameter n, which determines fragment counts within a single cell, at 250, 500, 1500, 2500, and 5000, respectively, thus obtaining five datasets of varying sequencing depth. We set the parameter q, which controls the proportion of cell-specific reads at 0, 0.1, 0.2, 0.3, 0.4, thus obtaining five datasets of differing noise levels. Lastly, we randomly dropped valid reads at rates ranging from 10% to 70%, generating seven datasets with a varying degree of dropout. 
Additionally, we collected 11 publicly available scATAC-seq datasets with given cell type labels for benchmarking to validate the effectiveness of scAGDE. These datasets, generated from different platforms and including human and mouse samples, vary in sparsity and scalability. Four datasets annotated through computational approaches included ‘Forebrain’ (GSE100033),‘Splenocyte’ (E-MTAB-6714), ‘GM12878vsHEK’ (GSE65360), ‘GM12878vsHL’ (GSE149683), ‘Lung’ (GSE149683) and‘Liver’ (GSE65360). Three datasets containing FACS-sorted cell populations were ‘Blood2K’ (GSE96772), ‘10XBlood’(GSE129785), and ‘DropBlood’ (GSE123581). The remaining two datasets were ‘Leukemia’ (GSE74310), which mixes cells from a healthy donor with leukemia cells from two acute myeloid leukemia (AML) patients, and ‘InSilico’ (GSE65360) combining six individual scATAC-seq data from distinct cell lines. The human fetal atlas dataset from Domcke et al., can be obtained from the public resource at https://descartes.brotmanbaty.org/bbi/human-chromatin-during-development/. The human brain dataset, downloadable from GSE184462, comes from a single-cell atlas of scATAC-seq of the human genome. The reference single-cell RNA-seq dataset from brain tissue used in our study can be found at GSE207334 and utilizes data from human samples. All processed datasets for benchmarking analysis and the human brain dataset have been deposited in the Zenodo database at https://doi.org/10.5281/zenodo.11609252.
DOI: 10.3535/c3y-1ts-nd6
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/za0-wnd-d0g
title: †Eridotrypa aedilis (Eichwald, 1855)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28425866.v1
title: Data for: Effects of floral trait dissimilarity and flower density on pollinator-mediated interactions at different spatial scales

description: Conducted in nine coastal dune communities, the study assesses how floral trait dissimilarity affects pollinator sharing and how the co-flowering environment—floral dissimilarity, conspecific flower density, and heterospecific flower density—impacts pollination outcomes. Key metrics include flower visitation rates, conspecific pollen reception, and the proportion of pollen tubes. The study also investigates whether these effects vary at the plot and site scales.MethodsField sampling and flower densityPlant communities were surveyed at nine sites along a 205 km coastal stretch. Each site was sampled over three randomized days during the rainy season (September–November 2016). Within each site, ten 20 m² plots were established, recording flowering species identity, plant counts, and open flower numbers. Conspecific and heterospecific flower densities were estimated at both the plot (20 m²) and site scale (200 m²).Floral trait dissimilarityFloral traits—including corolla diameter, tube opening, and flower length—were measured in 1–5 flowers per plant from at least five plants per species. Floral symmetry and clustering were also recorded. Floral reflectance spectra (300–700 nm) were measured using a spectrophotometer to model color perception by Hymenoptera, Diptera, and Lepidoptera. Floral trait dissimilarity between species pairs was estimated using Gower’s dissimilarity index, and functional distinctiveness was calculated using an abundance-weighted index.Pollinator observations and pollinator sharingPollinator observations were conducted in each plot for three 5-minute periods (15 min total per plot per day). Only visits involving contact with reproductive structures were recorded. Pollinators were identified to species or morphospecies, and unidentified specimens were collected for later identification. Pollinator visitation rate was calculated as visits per flower per 15 minutes. Pollinator sharing was estimated using Pianka’s niche overlap index, considering both pollinator identity and visitation frequency.Pollen receipt and pollination successTo assess pollen receipt and pollination success, one style per plant was collected from senesced flowers at the end of the day and stored in FAA solution. Styles were processed using NaOH softening and aniline blue staining, and pollen grains and pollen tubes were counted under a fluorescent microscope. Pollen tube production was used as a proxy for pollination success, and all data were relativized to account for species-specific differences.
DOI: 10.6084/m9.figshare.3559731.v1
title: Appendix A. Additional details on sampling methodologies as well as site-level results of trematode infection and biological/chemical/physical measurements. A discussion regarding pooling infections of Stephanostomum tenue, Stephanostomum dentatum, and trematodes of the Stephanostomum genus that could not be identified to the species level is also included.

description: Additional details on sampling methodologies as well as site-level results of trematode infection and biological/chemical/physical measurements. A discussion regarding pooling infections of Stephanostomum tenue, Stephanostomum dentatum, and trematodes of the Stephanostomum genus that could not be identified to the species level is also included.
DOI: 10.6084/m9.figshare.6462311.v1
title: Supplementary Files - Ocaña-Pallarès et al. 2018

description: Supplementary files for the manuscript Ocaña-Pallarès et al. 2018 entitled "<i>Reticulate evolution in eukaryotes: Origin and evolution of the nitrate assimilation pathway".</i><i><br></i>
DOI: 10.3535/0yf-4zw-485
title: †Hallopora Bassler, 1911

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ler-tmf-kk4
title: †Subulites Emmons, 1842

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22670308.v1
title: Supplementary Data 1.xlsx

description: emissions of high global warming potential fluorinated gases
DOI: 10.6084/m9.figshare.6260003.v1
title: Metabolite BridgeDb ID Mapping Database (20180508)

description: BridgeDb ID mapping database for metabolites, using HMDB 4.0 (Release of 06 May 2018), ChEBI 161, and Wikidata (08 May 2018) as data sources. No significant changes but just updated data.<br>If you use this data in your research, please cite this data set, and the BridgeDb, ChEBI, and HMDB articles.
DOI: 10.3535/am6-vrk-1bc
title: †Homotrypa cribrosa (Bassler, 1911)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vew-3fz-4gb
title: †Vasalemmapora mickwitzi (Bassler, 1911)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1136081_d93
title: Ex3R43C3 Synaptopodin-7 from Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.

description: This data represents repeated immunohistochemical staining and stripping (elution) cycles of an array tomography tissue ribbon from mouse barrel cortex following chessboard deprivation. Included are images from consecutive 70 nm serial sections aligned to produce a high-resolution volumetric reconstruction of a given antibody stain.
DOI: 10.6084/m9.figshare.25867474.v1
title: "Insights to the taxonomy and phylogeny of the genus Ptilagrostis (Poaceae, Stipeae) with a key to species identification, checklists and outlines for further studies". Marta Krzempek<i>, Ewelina Klichowska, Marcin Nobis</i>. 2024

description: The SNP dataset derived from the DArTseq pipeline in the genlight and fasta format.
DOI: 10.17632/m39gthzrwd
title: LINF_060005400

description: Pumilio protein 5 | PUF5; Leishmania infantum (strain JPCM5)
DOI: 10.3535/arr-26n-7y8
title: †Pilina Koken, 1925

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hkw-3el-cj2
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20484582.v1
title: Artificial intelligence and Big Data in neurology

description: ABSTRACT Recent advances in technology have allowed us access to a multitude of datasets pertaining to various dimensions in neurology. Together with the enormous opportunities, we also face challenges related to data quality, ethics and intrinsic difficulties related to the application of data science in healthcare. In this article we will describe the main advances in the field of artificial intelligence and Big Data applied to neurology with a focus on neurosciences based on medical images. Real-World Data (RWD) and analytics related to large volumes of information will be described as well as some of the most relevant scientific initiatives at the time of this writing.
DOI: 10.6084/m9.figshare.25609476.v1
title: Data and figures

description: Stiffness of soil at very small strains <i>G</i><sub>0</sub> is mainly affected by void ratio, effective stress and suction. Empirical equations considering those factors have been proposed to estimate <i>G</i><sub>0</sub>. However, for collapsible soil like loess, variations in suction might induce changes in void ratio of soil. The combined effect of these two factors poses challenges in accurately estimating of <i>G</i><sub>0</sub>. This paper first presents an experimental study on the <i>G</i><sub>0</sub> of collapsible loess under various conditions, including as-compacted states, wetting/drying and K<sub>0</sub> loading. <i>G</i><sub>0 </sub>is estimated from shear wave velocity obtained with bender element technique. The changes of <i>G</i><sub>0</sub> with respect to void ratio, suction, effective stress, and wetting under K<sub>0</sub> stress conditions are evaluated. Test results reveal that power relationships<i> </i>can be defined between <i>G</i><sub>0</sub> and void ratio, suction and effective stress, respectively. The changes in <i>G</i><sub>0</sub> along wetting/drying shows an “S” shape due to the different dominant effects on soil structure, as well as the induced non-uniform volume changes when suction change at different zones. Under K<sub>0</sub> loading,<i> G</i><sub>0</sub> decreases upon wetting at stresses below the compaction stress, while it increases upon wetting at stresses above the compaction stress, due to the combined effects of densification caused by volume collapse during wetting and softening induced by suction decrease. Finally, a <i>G</i><sub>0</sub><i> </i>model considering net stress and suction as independent stress variable is proposed. This model could effectively capture the change of <i>G</i><sub>0</sub><i> </i>during wetting, drying and loading, as well as upon wetting under K<sub>0</sub> loading for collapsible loess
DOI: 10.3535/hne-zff-0h7
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nae-yp5-3g8
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.23599740.v1
title: AfroBaT final dataset

description: The folder 'AfroBaT final dataset' contains 11 .csv files with trait data after the imputation of missing data and a 'read_me' file with the data descriptor.
DOI: 10.6084/m9.figshare.3527039.v1
title: Appendix A. A table and reference list for studies used in the analyses.

description: A table and reference list for studies used in the analyses.
DOI: 10.3535/8h3-0nw-c0j
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jdj-qfm-4v8
title: †Graptodictya Ulrich, 1882

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ydl-qbw-hrx
title: Palaeoconchus sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hdt-3t9-9x3
title: †Escharopora Hall, 1847

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nls-a0k-zyc
title: †Cyphotrypa Ulrich & Bassler, 1904

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27475617.v1
title: COVID-19 vaccination dataset

description: These are two files: a) Covid19_Vaccination_PONE-D-24-17728: Migrants survey dataset in Stata; b) Analysis: is a do file process analysis<br>
DOI: 10.17632/9tb35vvm5x
title: Research data supporting CDRs

description: Research data supporting CDRs
DOI: 10.3535/1m8-r4s-gj2
title: Graptoblastus sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mqt-glz-jqw
title: †Oanduellina leuchtenbergi Pushkin, 1977

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/33m-cy5-pve
title: †Balticoporella glabra (Bassler, 1911)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xsf-gap-vpe
title: Graptoblastus sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.23145542.v1
title: Bacterial relative growth rates and taxonomic identities

description: Dataset for "The predictive power of phylogeny on growth rates in soil bacterial communities" by J. Walkup et al. 2023. This dataset includes bacterial growth rates and taxonomic identities of organisms observed in this study.
DOI: 10.3535/np7-dta-bab
title: †Balticoporella glabra (Bassler, 1911)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t5l-vd2-24q
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26075158.v1
title: <b>ECE-2024-06-01213</b>

description: The resource utilization efficiency, morphological characteristics, leaf anatomical structure, population quantity features of the dominant species, <i>Leymus chinensis</i>, and community species diversity were monitored under CK (control), T (warming), P (warming) and TP (warming plus precipitation addition).
DOI: 10.17632/4p7jjd7ccc
title: Mathematical model for predicting butterfat concetration in bovine milk using electric conductivity properties, temperature and volume fraction of whole milk.
DOI: 10.3535/0f1-4hg-97t
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/g9m-afh-gqr
title: †Peronopora Nicholson, 1881

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hde-nqr-b3q
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vh6-h9b-l43
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/6x8-s4h-xbj
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pvv-bkf-p4f
title: †Mesotrypa excentrica Modzalevskaya, 1953

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.c.3751553_d36.v1
title: Additional file 42: of The protein subunit of telomerase displays patterns of dynamic evolution and conservation across different metazoan taxa

description: Multiple sequence alignment of the CTE region in deuterostomes. (FASTA 8Â kb)
DOI: 10.3535/981-qve-v34
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lss-f6h-pwr
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.16411302.v1
title: Digital schematic maps and samples

description: samples and digital schematic maps
DOI: 10.6084/m9.figshare.19642230.v1
title: High entropy enhanced capacitive energy storage

description: SourceData for High entropy enhanced capacitive energy storage
DOI: 10.3535/q6j-zv8-m3h
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xcd-0mz-tq9
title: †Orbignyella germana Bassler, 1911

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.15046548.v1
title: 2021 Roberson lab SSc FASTQ file basenames

description: Data relevant to a 2021 study of SSc transcriptomes. This file contains the root filenames for all of the relevant original FASTQ files.<br>
DOI: 10.17632/hh8c9rrtwc
title: Precision Metabolomics Reveal Dynamic Serum Metabolic Changes Driven by Exercise Intensity in Acute Swimming

description: This study explored the metabolic responses of 42 healthy adults to moderate-intensity continuous training (MICT) versus high-intensity interval training (HIIT) in swimming. Through an exhaustive metabolite analysis employing liquid chromatography-tandem mass spectrometry (LC-MS/MS), we characterized and quantified a vast array of metabolites across both exercise protocols.
DOI: 10.3535/pk2-90z-gb3
title: Pycnolepis splendens

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.27289647.v1
title: GC-MS data of <i>Batocera horsfieldi </i>host plants

description: GC-MS data of <i>Batocera horsfieldi </i>host plants
DOI: 10.3535/01a-mny-jzw
title: †Batostoma granulosum Bassler, 1911

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ww5-3ke-d4k
title: Conulariida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.6791963.v1
title: Fitting Model Parameters

description: Parameters used in the fitting of metabolites for analysis of 31P MRSI data.
DOI: 10.3535/btr-pnw-lny
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vvt-zgg-5z3
title: †Enallopora perantiqua (Hall, 1847)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/glh-6mw-prc
title: †Oanduella bassleri Männil, 1958

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21513366.v2
title: Data and reproducible R code from the Resistance Diversity Experiment

description: All data and reproducible R code from the Resistance Diversity Experiment