cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22344501.v1
title: Bycatch species distribution from mid-water trawlers in the north-eastern Arabian sea: a step towards the implementation of marine spatial planning

description: Spatial conservation planning to reduce the impact of fishing on ecosystems necessitates understanding of the spatial distribution of bycatch in fishing grounds. Management measures in Indian waters cannot be spatially explicit without this information. Thus, a preliminary study was conducted on the northwest coast of India to identify the most persistent bycatch areas from mid-water trawlers targeting largehead hairtails (<i>Trichiurus lepturus</i>). Semi-variogram modelling and kriging interpolation showed that bycatch abundance varied by species and associated habitat or depth preference. A significant positive correlation between species in bycatch abundance revealed that few share the same habitat in the region. Bycatch species were concentrated in the inshore area (&lt;70 m depth) during the post-monsoon and summer seasons, but their densities reduced in the winter. The bycatch distribution map aid in the future implementation of spatial management measures, such as the designation of the no-fishing zone and conservation networks.
DOI: 10.3535/9v0-4db-tba
title: Tripodus sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vnc-std-7g2
title: Cordylodus sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wfd-egq-e0a
title: Drepanoistodus sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mbr-ajf-9kl
title: Paltodus pristinus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.23612709.v1
title: Comparative analysis of entrepreneurial intention models: Self-efficacy versus entrepreneurial characteristics

description: Abstract Purpose: The purpose of this research is to analyze whether self-efficacy and entrepreneurial characteristics (e.g., risk-taking, planning, opportunity recognition, persistence, sociability, innovation, and leadership) differ in the explanation of entrepreneurial intention models, having entrepreneurial education as a moderator of relationships. Originality/value: This paper offers an in-depth perspective on which behavioral characteristics fit best into entrepreneurial intention models and helps to fill a theoretical and practical gap on the need for university education to increase its positive impact on human capital, particularly on students’ professional skills, demonstrating which characteristics are most impacted by entrepreneurial education. Design/methodology/approach: Quantitative methodology was employed, and data were analyzed with structural equation modeling. The sample consisted of 1,004 Brazilian university students from public and private universities. The research was conducted in a non-probabilistic way and with a convenience sample. In order to address the research hypothesis and objectives, all constructs were adapted from relevant literature on entrepreneurship. Findings: The results indicate it seems more appropriate to use a set of entrepreneurial characteristics when investigating an entrepreneurial intention model if you are looking for a higher explanatory factor and a more robust model; also, entrepreneurial characteristics represent a more sensitive model, which brings accurate assessments on factors that affect entrepreneurial intention. With these findings, entrepreneurial education can be planned to shape certain characteristics through actions in the university environment, making it possible to measure the impact of education on entrepreneurial intention.
DOI: 10.6084/m9.figshare.3552165.v1
title: Appendix A. Tables with the results of two alternative methods of type II regression (Tables A1 and A2), information on the range in body size of the analyzed taxa (Table A3), and a figure showing relationships between the log(body mass) of predators and prey for subsets at the class level (Fig. A1).

description: Tables with the results of two alternative methods of type II regression (Tables A1 and A2), information on the range in body size of the analyzed taxa (Table A3), and a figure showing relationships between the log(body mass) of predators and prey for subsets at the class level (Fig. A1).
DOI: 10.3535/q05-bgq-tbb
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ym3-kl2-3nz
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.6349424.v1
title: Appendix 2:Nexus formatted alignments

description: Separate nexus files for each of 19 focal bird species<br>
DOI: 10.3535/q2w-hnz-8p1
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tnz-7vc-pl3
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nr2-dvb-jab
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q8l-qx8-tcn
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25511503.v1
title: Supplementary Table S2.xlsx

description: Supplementary Table S2.Lists of important genes for host colonization.
DOI: 10.3535/gml-fnz-xdt
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rd1-7ds-ped
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.8ph5ge
title: Occurrence Download

description: A dataset containing 1043 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chamaecrista nigricans (Vahl) Greene",
 "Continent is Africa"
 ]
}

 The dataset includes 1043 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009833-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/8c2-bhe-9gg
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8m7-xxq-jw2
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28599659.v1
title: Data

description: Education
DOI: 10.3535/dme-y55-mjx
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tb8-qt0-y9p
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12043044.v1
title: Triggers of Thyroid Cancer Diagnosis

description: this is a supplement of <b>A Systematic Review and Meta-analysis.</b> The incidence of thyroid cancer has increased worldwide<i>.</i> In the United States, for instance, the incidence of thyroid cancer increased from a 4.9 to 14.2 per 100,000 person-years over the last two decades, while in South Korea, on the other hand, thyroid cancer increased by more than seven fold, from 6.3 per 100,000 person year in 1999 to 47.5 per 100,000 population in 2009. Understanding the method of thyroid cancer detection has potential implications on interpreting incidence rates, the diagnosis and management of thyroid cancer. The aim of this study is to summarize the available evidence to assess the frequency of incidental (asymptomatic) and non-incidental TC and examine the triggers that lead to diagnosis with comparison across multiple cohorts.
DOI: 10.6084/m9.figshare.3517820.v1
title: Appendix D. A table presenting information about fish species collected during summer and fall, as well as occurrence of each species in unfragmented and fragmented streams.

description: A table presenting information about fish species collected during summer and fall, as well as occurrence of each species in unfragmented and fragmented streams.
DOI: 10.6084/m9.figshare.6269705.v1
title: Data repository Hypoxia, Exercise and Attention

description: The Frankfurt Attention Inventory 2 (FAIR-2) was performed at four testing points (D1, 14, 16, 18). 80 participants were assigned to 4 groups (HYP+EX, HYP, EX, and NOR).HYP = hypoxia; EX = exercise, NOR = normoxia<br>
DOI: 10.3535/l2l-8rj-w4z
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vbv-vfj-blc
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.6121373.v1
title: Phylogenetic analysis of secretin type neuropeptide GPCRs using RAxML.

description: Phylogenetic analysis of aligned secretin type neuropeptide GPCRs, belonging to Xenacoelomorpha, Deuterostomia, Protostomia. Programm: RAxML v.8.2.9, amino acid substitution model: LG
DOI: 10.3535/7xx-ew8-rq4
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jrb-11b-j63
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28438499.v18
title: Single Cell DNA methylation data for Human Brain altas MajorType allc files (CG+CH)

description: Pseudobulk level allc files, file name format: {MajorType}.allc.tsv.gzPlease note:(1). Those allc files contain both CG and CH.(2). The strands are not merged.CitationIf you used this data in your research, please cite:Tian, W., Zhou, J., Bartlett, A., Zeng, Q., Liu, H., Castanon, R. G., ... & Ecker, J. R. (2023). Single-cell DNA methylation and 3D genome architecture in the human brain. Science, 382(6667), eadf5357.PMID: 37824674<br>How to downloadTo quickly download the whole folder, Python package pyfigshare can be implemented. please refer to pyfigshare documentation: https://github.com/DingWB/pyfigsharefor example: figshare download 28424780 -o downlnoaded_data
DOI: 10.3535/2bn-040-gdj
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bqm-r1l-lqd
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25380/iastate.14428304.v1
title: ASEE Game Creation Content Analysis Data Set 2021

description: We searched research articles published on ASEE (The American Society for Engineering Education) paper from 2006 to 2020 on https://peer.asee.org/<br>Our search included the terms game, gaming, gamer, gamify, and gamification from 2006-2020 resulted in 176 relevant publications. Our analysis focused on document metadata and abstracts; a methodology similar to other content analyses examining journals’ trends over time.
DOI: 10.3535/f22-gss-f4s
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xve-fm6-qy6
title: Watsonosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15482/usda.adc/1173246
title: UNSODA 2.0: Unsaturated Soil Hydraulic Database. Database and program for indirect methods of estimating unsaturated hydraulic properties

description: This database contains measured soil water retention, hydraulic conductivity, and water diffusivity data, as well as pedological information of some 790 soil samples from around the world.

Quantifying water flow and chemical transport in the vadose zone typically requires knowledge of the unsaturated soil hydraulic properties. The UNsaturated SOil hydraulic DAtabase (UNSODA) was developed to provide a source of unsaturated hydraulic data and some other soil properties for practitioners and researchers. A first MS-DOS version of the database was released in 1996. It has been applied in numerous studies. In this paper, we describe the second version (UNSODA V2.0) for use with Microsoft Access-97®1. The format and structure of the new database have been modified to provide additional and more convenient options for data searches, to provide compatibility with other programs for easy loading and downloading of data, and to allow users to customise the contents and look of graphical output. This paper reviews the structure and contents of the database as well as the operations that can be performed on the different data types in UNSODA V2.0. The use and application of the new database are illustrated with two examples. The retrieval of data is briefly illustrated, followed by a more detailed example regarding the interpolation of soil particle-size distribution data obtained according to different national definitions of particle-size classes. The interpolation procedure, which is based on finding similar particle-size distribution curves from a large European data set, also performed well for soils that originate from other geographical areas.
DOI: 10.3535/gan-n2y-x0k
title: Coprulus oblongus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q63-8cr-cq2
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kln-p5p-3e8
title: peeling structure

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/n9b-j1m-lh3
title: Bioerosional trace fossils

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

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/edh-c1y-z98
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5667697.v1
title: Surgical correction of ectopic penis and scrotum associated with bilateral orchidopexy

description: ABSTRACT Ectopic penis is usually associated with penoscrotal transposition, and it is rarely observed in isolation. We report a surgical approach for an extremely rare case. A 10-year-old male patient with bilateral cryptorchidism and ectopic penis and scrotum in perineal area, with no penoscrotal transposition, representing an association not yet described in literature. A previous orchiopexy failed due to ectopic scrotum. By means of an inverted Y incision, the penis was mobilized and a perineal skin flap in form of a testicular sac was prepared. Finally orchiopexy was performed. The surgery was essential to treat cryptorchidism and to improve the self-image of the patient.
DOI: 10.3535/ag2-5ns-ey7
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q8c-lc7-xsx
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q88-643-gkg
title: Brachiopoda Duméril, 1805

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

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20382367.v1
title: Diffusion of Innovation in Technological Platforms: The Uber Case

description: ABSTRACT Objective: diffusion theory suggests that customers adopt innovation. However, no research has examined the differences between peers and the balance required of a peer-to-peer platform in the diffusion process. This article investigates whether there was a peer-to-peer balance in the diffusion process of a technological platform, represented here by the Uber case. Methods: a total of 843 Uber users, comprising 397 drivers and 446 customers, took part in a probabilistic sample survey in Belo Horizonte, Brazil. The study tests the hypothesis of P2P platform diffusion balance along Rogers’ curve with Levene’s and t-test. Results: the findings are counterintuitive and unexpected. Although the authors expected passengers and drivers to show a similar predisposition for Uber’s adoption, empirical data did not confirm this. In contrast to the literature, which predicts that adoption occurs mainly in the initial phases, drivers’ predisposition showed a constant diffusion curve. Conclusions: considering the peer-to-peer platform context, this article shows that the balance between peers can still be present considering the multiple actors involved, which shows a proposition for this research. Besides, this article develops the ‘technological readiness indicator,’ thus enabling a better understanding of different empirical contexts.
DOI: 10.17632/68vfsrsv6b
title: Data for: The effect of various substrates and catalyst layer deposition on the incorporation of nitrogen into CNT forest structures

description: raw data files
DOI: 10.3535/5gl-pbw-xv5
title: Plantae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/c44-4wt-2z7
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.11086478.v1
title: Alternative splicing analysis of different growth stages of O. sinensis

description: ASprofile (version b-1.0.4, http://ccb.jhu.edu/software/ASprofile/ was used to detect the splice junction sites and provided information about boundaries and combinations of different exons in a transcript, and then total splice junction sites of the same gene were used to distinguish the type of its alternative splicing (AS) event. Using rMATs (version 4.0.3, http://rnaseq-mats.sourceforge.net/), the number of differentsplicing events (DASs) and different splicing genes (DSGs) were compared between different growth stages and FDR ≤ 0.05 as statistically significant.
DOI: 10.6084/m9.figshare.24115368.v1
title: Plant RNA-Image Repository

description: Together with the Agriculture University, we compiled a database of plant images and omics data. The dataset contains images of four distinct plant maladies, including powdery mildew, rust, leaf spot, and blight, as well as gene expression and metabolite data. Using a high resolution camera in a controlled environment at the facility of the Agriculture University of Peshawar, we captured 8,000 images of plants, with 2,000 images for each disease type. Each image was labeled with the disease type corresponding to it. The images were preprocessed by resizing them to 224x224 pixels and standardizing the pixel values. The dataset was divided into 70:15:15 training, validation, and testing sets, correspondingly. In addition to collecting images of the same plants, we also collected gene expression and metabolite data. We extracted RNA from the plant leaves using a commercial reagent and sequenced it on an Illumina HiSeq 4000 platform. The average length of the 100 million paired-end readings obtained was 150 base pairs. The unprocessed reads were trimmed with Trimmomatic and aligned with STAR against the reference genome. We counted the number of reads that mapped to each gene using featureCounts, and then identified differentially expressed genes between healthy and diseased plants using the DESeq2 package in R. Using gas chromatography-mass spectrometry (GC-MS), we gathered additional metabolite information. Using a methanol-water extraction protocol, we extracted metabolites from the plant leaves and analyzed the extracts using GC-MS. We obtained 500 metabolite characteristics, including amino acids, organic acids, and sugars.<br>If you use the dataset mentioned here, please make sure to give credit to the researchers by citing their paper titled 'Deep Learning for Plant Bioinformatics: An Explainable Gradient-Based Approach for Disease Detection.'ReferenceShoaib, M., Shah, B., Sayed, N., Ali, F., Ullah, R., & Hussain, I. (2023). Deep learning for plant bioinformatics: an explainable gradient-based approach for disease detection. <i>Frontiers in Plant Science</i>, <i>14</i>(October), 1–17. https://doi.org/10.3389/fpls.2023.1283235<br>
DOI: 10.6084/m9.figshare.7913660.v1
title: Table 1

description: Comparison of results with final SCD genotype classification<b> </b>within the REDS-III Brazil SCD cohort study
DOI: 10.15468/dl.zwbhvc
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eremias szczerbaki Eremchenko, Panfilov & Zarinenko, 1992"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009832-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/7jx-bj6-zhf
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yrk-6hs-6m4
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mve-b60-gay
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wzp-61b-s9g
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.24172965.v1
title: 0.5 mm resolution voxel-resampled connectome

description: Voxel-resampled intermediary matlab-readable file that facilitates ROI seeding of the connectome in 0.5 mm resolution. Must be unzipped prior to use.
DOI: 10.3535/fnv-7ml-88y
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hdr-rrk-hxm
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17028/rd.lboro.12077814
title: Data and Code from Modelling flow-induced reconfiguration of variable rigidity aquatic vegetation

description: Data and model from the paper 'Modelling flow-induced reconfiguration of variable rigidity aquatic vegetation' published in the Journal of Hydraulic Research<br>DOI:10.1080/00221686.2020.1866693<br><br>Larger datasets not included here are available on request.
DOI: 10.3535/sfp-wx9-r89
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k14-k5l-4cp
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kbz-75m-lc5
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25249105.v1
title: Zesta all timepoints merged on common genes

description: Zesta dataset stereoseq timepoints from BGI, merged all timepoints on common genes
DOI: 10.3535/13z-zpc-g7k
title: †Strophomenata Williams et al., 1996

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v97-qqb-yma
title: Specimen from Tallinn University of Technology

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