cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/n9v-954-j14
title: Walliserodus curvatus (Branson & Branson)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qrt-dqg-pm5
title: Ozarkodina bohemica longa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26829745.v1
title: Base de Datos Cirugías Oftalmológicas en Sistema de Salud Público Chileno Período 2021-2022

description: There is a bulky waiting list for ophthalmologic clinical care and surgery in Chile. Knowledge of how the system works is required to improve health strategies. There is no open-access national registry of ophthalmological surgeries done in the Chilean public health system.  We asked for information concerning the ophthalmological surgical production in the Chilean public health system in 2021 and 2022 through Portal de Transparencia and created this database with that information. The surgical production registries provide knowledge on how the health system works. This information allows decision making based on capacity and efficiency of the public health system.<br><br>
DOI: 10.3535/en8-bj6-kfk
title: †Strophomenata Williams et al., 1996

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rcp-8zp-1d6
title: †Strophomenata Williams et al., 1996

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4n6-jmv-mda
title: Pegmatite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mgs-vh9-ww6
title: †Skenidioides Schuchert & Cooper, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.3167752.v3
title: Marginal Fractal

description: This spreadsheet model is to complement publications relating to the fractal.
DOI: 10.3535/cbh-kmy-6tm
title: Gypsum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.10257731.v1
title: Statistics and validation of data, and processing result data for publication "Numerical simulation of the irrigation effects on surface fluxes and local climate in typical mountain-oasis-desert systems in the Central Asia arid area"

description: Statistics and validation of data, and processing result data for publication "Numerical simulation of the irrigation effects on surface fluxes and local climate in typical mountain-oasis-desert systems in the Central Asia arid area"
DOI: 10.3535/d1a-3ar-6qg
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xcv-syf-yv3
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28643594.v1
title: Research Manuscript.pdf

description: "This research focuses on optimizing honeycomb core sandwich panels for aerospace applications with the goal of achieving enhanced weight reduction and structural performance. The study evaluates various core materials, including aluminum, Nomex, and thermoplastic honeycombs, along with different face sheet configurations to identify the optimal combination for mechanical performance. The research includes a parametric study examining the influence of core thickness, cell size, face sheet material, and core geometry on the overall performance of the panels. Key findings suggest that aluminum honeycomb cores with hexagonal geometry offer a 20-25% weight reduction while maintaining significant stiffness and compressive strength. Additionally, the study highlights the potential of co-curing techniques to improve bonding strength by 15-20%, further enhancing the structural integrity of the panels. This work contributes valuable insights into the material selection, design, and manufacturing techniques required to optimize lightweight, high-performance sandwich panels for aerospace applications.
DOI: 10.3535/7g8-34y-v0r
title: aff. Traquairosteus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jbb-fj3-m8m
title: Spilite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q5k-aew-6yf
title: Radiolarite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25405/data.ncl.14248916.v1
title: Materials for "Stuart, L., Grahame, V., Honey, E., & Freeston, M. (2020). Intolerance of uncertainty and anxiety as explanatory frameworks for extreme demand avoidance in children and adolescents. Child and Adolescent Mental Health, 25(2), 59-67."

description: This record contains two files comprising the material used in study 2 of Stuart, L., Grahame, V., Honey, E., & Freeston, M. (2020). Intolerance of uncertainty and anxiety as explanatory frameworks for extreme demand avoidance in children and adolescents. <i>Child and Adolescent Mental Health</i>, <i>25</i>(2), 59-67.The first file is a semi-structured interview used to explore a caregiver's perception of their child's behaviour in uncertain situations. The second provides a range of examples of uncertain situations where a child or young person may experience distress related to uncertainty; these examples may be used to prompt the participant.
DOI: 10.3535/0p7-wyk-xpt
title: †Leptaeninae Hall & Clarke, 1894

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28643669.v1
title: Scientific Literacy on the Perception of AI Risks

description: Existing research has extensively examined public risk perceptions of artificial intelligence (AI) technologies, with a focus on factors such as technological literacy, socio-cultural context, and trust. However, these studies predominantly employ linear models, presupposing that increased technological literacy directly reduces risk perceptions. This approach overlooks the non-linear relationships and potential mediating and moderating factors between technological literacy and risk perception within the context of complex technologies. Notably, the literature has inadequately explored the mediating role of personal stakes in the relationship between technological literacy and risk perception, as well as how variables such as familiarity with technology, perceived safety, perceived transparency, and respect for scientific authority may moderate this relationship. This study addresses these research gaps by empirically demonstrating that the impact of technological literacy on risk perception is not direct but mediated by personal stakes. Moreover, the study introduces multiple moderating variables, offering a detailed exploration of how these factors modulate the influence of technological literacy on risk perception. Consequently, a more nuanced and accurate cognitive model is constructed. Theoretically, this research challenges traditional linear assumptions and expands the applicability of risk perception theory, particularly within the highly complex context of AI technologies. It elucidates the mechanisms by which technological literacy indirectly influences public risk perceptions through multiple pathways. Practically, the study provides empirical support for strategies aimed at enhancing public understanding and acceptance of AI technologies. It suggests that reducing public risk perceptions can be effectively achieved by increasing personal stakes, enhancing technological transparency and safety, and fostering greater respect for scientific authority, thereby facilitating broader adoption of these technologies.
DOI: 10.3535/b3z-3kv-pvs
title: Bioturbation trace fossils

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x7j-x4a-9yl
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21685859.v1
title: Seismic Signal of Welirang Volcano 2016-2019

description: Seismic data in this study were recorded using a 3-component portable seismograph type TDL-303S single station belonging to the Meteorology, Climatology and Geophysics Agency Class II Tretes. This seismograph has a sensitivity of 2V/g with a frequency response of 0.005 ~ 200 Hz. Data was recorded with a sampling interval of 0.01 second for 1 hour to 15 hours at 3 different locations and times. This dataset has 3 main formats, trace (*.TRC), MiniSEED (*.MSD), and ASCII (*.TXT). You can choose the format according to your needs. Please note that the *.TRC is a seismic signal format that comes from the default seismograph software TDL-303S (Software Data Pro).
DOI: 10.3535/82n-8jh-vn8
title: †Skenidioides Schuchert & Cooper, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jlk-3kz-lj3
title: †Lophospira Whitfield, 1886

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14150210.v2
title: Prediction maps: Woody-biomass projections and drivers of change in sub-Saharan Africa

description: Biomass prediction maps, where: biomass_baseline.tif corresponds to the contemporary biomass predictions.biomass_AI45.tif corresponds to biomass projections to the end of the century under RCP 4.5.biomass_AI45_BA.tif corresponds to biomass projections in response to RCP 4.5 and burned area projections. biomass_AI45_BA_SSP2.tif corresponds to biomass projections in response to RCP 4.5, burned area projections, and assumptions regarding population growth. biomass_AI85.tif corresponds to projections under the RCP 8.5 scenario.
DOI: 10.6084/m9.figshare.26956144.v2
title: DOCUMENTO MATRIZ.xlsx

description: En este documento se presentan los cálculos y datos extraídos cualitativos de cada artículo seleccionado para la revisión sistemática. Su objetivo principal es evidenciar los resultados obtenidos y servir como una guía complementaria para futuros estudios. El documento incluye dos anexos: la primera hoja, titulada "CROQUIZ", contiene el esquema del formato utilizado, mientras que la segunda hoja, "INFORMACIÓN", incluye el archivo con los datos obtenidos
DOI: 10.3535/3dw-5ag-txx
title: Rossodus manitouensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wg7-3na-nnf
title: Bioturbation trace fossils

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/633-zex-rpw
title: Biotite gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ps5-yxf-xa3
title: †Skenidioides Schuchert & Cooper, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4n8-azd-1pp
title: Siltstone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xl6-c5d-rn8
title: Oktavites spiralis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/01t-caf-0q6
title: †Erycites fallifax Arkell, 1958

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v9k-a6y-zyq
title: Cyathochitina angusta

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22047071.v1
title: The first part of the dataset HKDD_AMC36 of paper "Towards Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification".

description: <strong>https://github.com/yexijoe/HKDD</strong> <br> <strong>@ARTICLE{10042021,</strong> <strong> author={Zheng, Shilian and Zhou, Xiaoyu and Zhang, Luxin and Qi, Peihan and Qiu, Kunfeng and Zhu, Jiawei and Yang, Xiaoniu},</strong> <strong> journal={IEEE Transactions on Cognitive Communications and Networking}, </strong> <strong> title={Towards Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification}, </strong> <strong> year={2023},</strong> <strong> volume={},</strong> <strong> number={},</strong> <strong> pages={1-1},</strong> <strong> doi={10.1109/TCCN.2023.3243899}}</strong> <br> Here we publish the first part of the dataset HKDD_AMC36 used in the paper "<strong>Towards Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification</strong>". Automatic modulation classification (AMC) can generally be divided into knowledge-based methods and data-driven methods. In this paper, we explore combining the knowledgebased method and data-driven technology to take full advantage of both and propose a hybrid knowledge and data-driven deep learning framework (HKDD) for AMC. To make the handcrafted features more discriminative, various traditional features are adopted, including instantaneous features, statistical features, and spectral features. In the HKDD framework, a feature fusion mechanism is proposed to integrate the features learned from the original signal with those processed by a fully connected network from the handcrafted features. Besides, an attention mechanism is implemented on the fused features to neglect immature features and highlight important features. To evaluate the performance of the proposed method, we construct two modulation classification datasets containing both traditional features and raw IQ data. Simulation results show that our proposed method has significant performance gain in both adequate-sample classification scenario and few-shot classification scenario.
DOI: 10.3535/fb5-m85-5s9
title: Diabase

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s7r-kb2-pd9
title: Cyathochitina patagiata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.18062405.v1
title: Paz-Neto et al. Mites modulates the pest status.xlsx

description: <b>Manuscript Data: Damage by mites modulates the pest status of subsequent pest species by providing shelter and resources</b>
DOI: 10.3535/q6g-9tx-xb2
title: Mediograptus vittatus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.23498526.v1
title: Table 4

description: <em>4H Parameter Comparison Between Experimental Groups</em>
DOI: 10.3535/a4q-art-vca
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v3f-7pv-pjb
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/msp-57e-zfa
title: Skarn

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r2v-f5l-3br
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25754661.v1
title: Data - to be a cruise destination or not to be a cruise tourism destination

description: The data corresponds to research undertaken to examine residents' perceptions about cruise tourism in New Zealand.
DOI: 10.6084/m9.figshare.c.3877081_d5.v1
title: Additional file 5: of Canonical and non-canonical JAK/STAT transcriptional targets may be involved in distinct and overlapping cellular processes

description: Heterochromatin marker modENCODE enrichment and transcriptional target overlaps. (XLSX 56Â kb)
DOI: 10.3535/8zx-p5e-xnw
title: Skarn

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t7l-ll5-kq3
title: Skarn

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1136081_d75
title: Ex3R43C2 GluR4-8 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: 10.3535/a3f-cac-n1x
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z1x-mlb-5k4
title: marble

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14287207.v1
title: Prediction of waste generation in construction through BIM modeling

description: Abstract The construction industry is certainly fundamental to the Brazilian economy, but the high consumption of raw materials involved is cause for environmental concern, especially due to the huge amount of waste it generates. Actions to reduce construction waste (CW) are taken solely in the actual construction stage, not in the design stages. In this scenario, BIM technology can be used to better analyse and control waste generation. This paper presents a BIM model that allows contractors to estimate the volume and disposal cost of CW in the design stage, before any construction activities have been performed. A systematic literature review provided a correct selection of construction material waste factors and BIM modelling methods. Calculations revealed that 10% of CW is class B and 90% is class A. Mortar was found to be the material with the highest waste rate, 56% of the total waste volume estimate. These findings demonstrate that BIM modelling can produce reliable data, which will help contractors to create a Construction Waste Management Plan (CWMP), thus improving CW planning and reduction.
DOI: 10.6084/m9.figshare.28069640.v1
title: The pivotal role of the food service industry in alleviating urban segregation and boosting city vitality

description: SES_SSI.txt is the code for calculating the social segregation index (SSI). SSI_nb.csv and SSI_rst are the result of social segregation index of neighborhoods and restaurants respectively. SSI_i.csv is the measurements of diners’ experienced social segregation after exposure at dining locations.
DOI: 10.6084/m9.figshare.28255106.v1
title: original data for NO-ILT

description: This study investigated the relationship between nitric oxide (NO) concentration and ILT in AAA patients using patient-specific computational fluid dynamics (CFD) models. The time-average and peak systole data of 4 patients has been uploaded.
DOI: 10.25946/25330279.v1
title: Desert Knowledge Australia Solar Centre Fault Data

description: This thesis explores the enhancement of photovoltaic (PV) system reliability through the development and optimisation of machine learning algorithms for proactive fault detection. Utilising data from the Desert Knowledge Australia Solar Centre, the study focuses on inverter failures and intermittent issues, employing advanced machine learning techniques for predictive analysis. The research introduces novel adaptive methods for fault prediction and differentiation, significantly contributing to predictive maintenance strategies. These findings pave the way for future investigations into robust predictive maintenance frameworks, aiming to improve PV system efficiency and support the transition towards sustainable energy solutions.
DOI: 10.3535/axw-lbq-yn5
title: marble

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tr0-7ry-zqq
title: Celestine

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.5281/zenodo.15082269
title: Data for "Monitored long-range interacting systems: spin-wave theory for quantum trajectories"

description: We introduce a stochastic spin-wave theory tailored to describe quantum trajectories in continuously monitored long-range interacting spin systems. Our method, based on the bosonization of spin-wave excitations on top of a strong collective polarization, enables the efficient simulation of large-scale interacting spins, offering insights into nonlinear features of the dynamics such as entanglement and trajectory correlations. We showcase the versatility of our framework by exploring an entanglement phase transition in a monitored spin system with power-law interactions and dwelling on how our method mitigates the experimental challenges of post-selection in detecting monitored quantum phases.
DOI: 10.5281/zenodo.15082270
title: Data for "Monitored long-range interacting systems: spin-wave theory for quantum trajectories"

description: We introduce a stochastic spin-wave theory tailored to describe quantum trajectories in continuously monitored long-range interacting spin systems. Our method, based on the bosonization of spin-wave excitations on top of a strong collective polarization, enables the efficient simulation of large-scale interacting spins, offering insights into nonlinear features of the dynamics such as entanglement and trajectory correlations. We showcase the versatility of our framework by exploring an entanglement phase transition in a monitored spin system with power-law interactions and dwelling on how our method mitigates the experimental challenges of post-selection in detecting monitored quantum phases.
DOI: 10.6084/m9.figshare.19664055.v1
title: Supplementary Dataset 1.pdf

description: Supplementary Dataset 1 3D technical drawing of the camera system established in this work.
DOI: 10.6084/m9.figshare.28596698.v2
title: Data and analysis code for "Attenuating biophysical cooling benefits of global forestation due to rising atmospheric CO2"

description: Attached please find the data and analysis codes of "Attenuating biophysical cooling benefits of global forestation due to rising atmospheric CO2".Above all data and analysis codes are based on Matlab R2023a, including:(1) dTa_map_co2.mat: The spatial patterns of near-surface air temperature changes (∆T<sub>a</sub>) induced by global full-potential forestation under current scenario and three SSP scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5).(2) ExpTa_co2.mat: The spatial patterns of forestation-induced local effects and non-local effect on T<sub>a</sub> under current scenario and three SSP scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5).(3) bioprocess_co2.mat: The spatial patterns of forestation-induced changes in five surface processes under current scenario and three SSP scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5).(4) ExpTa_4scenarios.mat: The spatial patterns of forestation-induced local effects and non-local effect on T<sub>a</sub> across four sensitivity scenarios under current climatic conditions.(5) dTadv850_map_co2.mat: The spatial patterns of forestation-induced horizontal temperature advection at 850 hpa under current scenario and three SSP scenarios.(6) Ta_decomposition_a.m: Analysis code used for decomposing ∆T<sub>a</sub> into local and non-local effects based on surface energy budget.(7) dx_atmos.m: Analysis code used for calculating zonal gradient.(8) dy_atmos.m: Analysis code used for calculating meridional gradient.(9) advh_atmos.m: Analysis code used for calculating horizontal temperature advection.(10) plumb_wave.m: Analysis code used for calculating Rossby wave activity.
DOI: 10.3535/pdk-l3k-w1c
title: Amorphognathus cf. superbus Rhodes

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/sp6-029-0r5
title: Cuprite

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