cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5761276
title: Logistic Activity Recognition Challenge (LARa Version 02) – A Motion Capture and Inertial Measurement Dataset

description: <strong>LARa</strong><strong> Version 02</strong> is a freely accessible logistics-dataset for human activity recognition. In the ’Innovationlab Hybrid Services in Logistics’ at TU Dortmund University, two picking and one packing scenarios with 16 subjects were recorded using an optical marker-based Motion Capturing system (OMoCap), Inertial Measurement Units (IMUs), and an RGB camera. Each subject was recorded for one hour (960 minutes in total). All the given data have been labeled and categorised into eight activity classes and 19 binary coarse-semantic descriptions, also called attributes. In total, the dataset contains 221 unique attribute representations. You can find the latest version of the annotation tool here: https://github.com/wilfer9008/Annotation_Tool_LARa <strong>Upgrade:</strong> Subject 15 and 16 added OMoCap raw data added (c3d, csv) Second IMU set added (MotionMiners Sensors) OMoCap data: file names from subject 01 to subject 06 corrected OMoCap data: additional annotated data added OMoCap and IMU data (Mbientlab and MotionMiners Sensors): Annotation errors corrected OMoCap Networks added (all for Window Size of 200 frames (1sec.)) tCNN_classes tCNN-IMU_classes tCNN_attrib tCNN-IMU_attrib Mbientlab Networks added (all for Window Size of 100 frames (1sec.)) tCNN_classes tCNN-IMU_classes tCNN_attrib tCNN-IMU_attrib Protocol extended (now README file) List of unique attribute representations added (csv) <strong>If you use this dataset for research, please cite the following paper: “LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes</strong><strong>”, Sensors 2020, DOI: 10.3390/s20154083.</strong> <strong>If you use the Mbientlab Networks, please cite the following paper: “From Human Pose to On-Body Devices for Human-Activity Recognition”, 25th International Conference on Pattern Recognition (ICPR), 2021, DOI: </strong><strong>10.1109/ICPR48806.2021.9412283</strong><strong>.</strong> If you have any questions about the dataset, please contact <strong>friedrich.niemann@tu-dortmund.de.</strong>
description: Acknowledgement: The work on this publication was supported by Deutsche Forschungsgemeinschaft (DFG) in the context of the project Fi799/10-2, HO2403/14-2 "Transfer Learning for Human Activity Recognition in Logistics".
DOI: 10.34740/kaggle/dsv/6378080
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6378079
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.8289522
title: micropsitta_bruijnii_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8289521
title: micropsitta_bruijnii_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.24042579
title: Predator.xlsx

description: Evolution of male-biased coloration in the guppy <i>Poecilia reticulata</i> is driven by sexual and natural selection. The colorful male ornaments are attractive to females, but also attract predators. Distinct predation regimes in Trinidadian streams promote the evolution of different guppy color morphs, with male ornamentation and female mate preference also co-evolving among populations. How attractive a male guppy color morph is to a female depends not only on the coloration itself, but also on how strongly the morph evokes stimulation of the female visual system. Both allele type and gene expression levels of cone opsin genes play a role in female mate preferences. Previous studies have demonstrated that predation can alter female guppy mate choice, but the underlying mechanism remains unclear. Here, I hypothesize that guppies adjust their cone opsin expression profiles in response to predation pressure. Although I detected a significant change in <i>LWS-R</i> transcription in response to predation, cone opsin expression profiles in adult female guppies do not appear to be driven by predation pressure. However, the impacts of predation pressure on developmental plasticity in cone opsin expression and brain anatomy remain promising avenues of further investigation to determine how predators affect female mate preference in guppies.
DOI: 10.6084/m9.figshare.24042579.v1
title: Predator.xlsx

description: Evolution of male-biased coloration in the guppy <i>Poecilia reticulata</i> is driven by sexual and natural selection. The colorful male ornaments are attractive to females, but also attract predators. Distinct predation regimes in Trinidadian streams promote the evolution of different guppy color morphs, with male ornamentation and female mate preference also co-evolving among populations. How attractive a male guppy color morph is to a female depends not only on the coloration itself, but also on how strongly the morph evokes stimulation of the female visual system. Both allele type and gene expression levels of cone opsin genes play a role in female mate preferences. Previous studies have demonstrated that predation can alter female guppy mate choice, but the underlying mechanism remains unclear. Here, I hypothesize that guppies adjust their cone opsin expression profiles in response to predation pressure. Although I detected a significant change in <i>LWS-R</i> transcription in response to predation, cone opsin expression profiles in adult female guppies do not appear to be driven by predation pressure. However, the impacts of predation pressure on developmental plasticity in cone opsin expression and brain anatomy remain promising avenues of further investigation to determine how predators affect female mate preference in guppies.
DOI: 10.5281/zenodo.6772569
title: Dataset for "Active buckling of pressurized spherical shells : Monte Carlo simulation"

description: We study the buckling of pressurized spherical shells by <br> Monte Carlo simulations in which the<br> detailed balance is explicitly broken -- thereby driving the shell<br> active, out of thermal equilibrium.<br> Such a shell typically has either higher (active) or<br> lower (quiescent) fluctuations<br> compared to one in thermal equilibrium depending on how the detailed balance<br> is broken.<br> We show that, for the same set of elastic parameters, a shell<br> that is not buckled in thermal equilibrium can be buckled if turned<br> active. Similarly a shell that is buckled in thermal equilibrium<br> can unbuckle if turned quiescent.<br> Based on this result, we suggest that it is possible to experimentally design<br> microscopic elastic shells whose buckling can be optically controlled.
DOI: 10.5281/zenodo.6772570
title: Dataset for "Active buckling of pressurized spherical shells : Monte Carlo simulation"

description: We study the buckling of pressurized spherical shells by <br> Monte Carlo simulations in which the<br> detailed balance is explicitly broken -- thereby driving the shell<br> active, out of thermal equilibrium.<br> Such a shell typically has either higher (active) or<br> lower (quiescent) fluctuations<br> compared to one in thermal equilibrium depending on how the detailed balance<br> is broken.<br> We show that, for the same set of elastic parameters, a shell<br> that is not buckled in thermal equilibrium can be buckled if turned<br> active. Similarly a shell that is buckled in thermal equilibrium<br> can unbuckle if turned quiescent.<br> Based on this result, we suggest that it is possible to experimentally design<br> microscopic elastic shells whose buckling can be optically controlled.
DOI: 10.5281/zenodo.8289531
title: Dataset for "Active buckling of pressurized spherical shells : Monte Carlo simulation"

description: We study the buckling of pressurized spherical shells by <br> Monte Carlo simulations in which the<br> detailed balance is explicitly broken -- thereby driving the shell<br> active, out of thermal equilibrium.<br> Such a shell typically has either higher (active) or<br> lower (quiescent) fluctuations<br> compared to one in thermal equilibrium depending on how the detailed balance<br> is broken.<br> We show that, for the same set of elastic parameters, a shell<br> that is not buckled in thermal equilibrium can be buckled if turned<br> active. Similarly a shell that is buckled in thermal equilibrium<br> can unbuckle if turned quiescent.<br> Based on this result, we suggest that it is possible to experimentally design<br> microscopic elastic shells whose buckling can be optically controlled.
DOI: 10.5281/zenodo.8283272
title: CommunityExperiment_NovogeneSequencingResults

description: Novogene sequencing results for a multiple stressor community experiment.
DOI: 10.5281/zenodo.8289505
title: CommunityExperiment_NovogeneSequencingResults

description: Novogene sequencing results for a multiple stressor community experiment.
DOI: 10.5281/zenodo.8289533
title: 2023 IEEE SPS Video and Image Processing (VIP) Cup: Ophthalmic Biomarker Detection Phase 2

description: Ophthalmic clinical trials that study treatment efficacy of eye diseases are performed with a specific purpose and a set of procedures that are predetermined before trial initiation. Hence, they result in a controlled data collection process with gradual changes in the state of a diseased eye. In general, these data include 1D clinical measurements and 3D optical coherence tomography (OCT) imagery. Physicians interpret structural biomarkers for every patient using the 3D OCT images and clinical measurements to make personalized decisions for every patient. Two main challenges in medical image processing has been <em>generalization</em> and <em>personalization</em>. Generalization aims to develop algorithms that work well across diverse patients and scenarios, providing standardized and widely applicable solutions. Personalization, in contrast, tailors algorithms to individual patients based on their unique characteristics, optimizing diagnosis and treatment planning. Generalization offers broad applicability but may overlook individual variations. Personalization provides tailored solutions but requires patient-specific data. While deep learning has shown an affinity towards generalization, it is lacking in personalization. The presence and absence of biomarkers is a personalization challenge rather than a generalization challenge. The variation within OCT scans of patients between visits can be minimal while the difference in manifestation of the same disease across patients may be substantial. The domain difference between OCT scans can arise due to pathology manifestation across patients, clinical labels, and the visit along the treatment process when the scan is taken. Morphological, texture, statistical and fuzzy image processing techniques through adaptive thresholds and preprocessing may prove substantial to overcome these fine-grained challenges. This challenge provides the data and application to address personalization. These files constitute the second phase of the VIP CUP 2023 Challenge at ICIP 2023. This test set has a more general patient base than the first one and as such is a better indicator of the performance of models. This test set was created by taking a subset of the data from a publicly available OCT dataset and then asking our medical partners to provide fine-grained biomarker labels for the competition. We provide the citation for the source of these images below: Kermany D, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010. This zenodo repository contains the images and submission template file needed for the second phase of the competition.
DOI: 10.5281/zenodo.8289532
title: 2023 IEEE SPS Video and Image Processing (VIP) Cup: Ophthalmic Biomarker Detection Phase 2

description: Ophthalmic clinical trials that study treatment efficacy of eye diseases are performed with a specific purpose and a set of procedures that are predetermined before trial initiation. Hence, they result in a controlled data collection process with gradual changes in the state of a diseased eye. In general, these data include 1D clinical measurements and 3D optical coherence tomography (OCT) imagery. Physicians interpret structural biomarkers for every patient using the 3D OCT images and clinical measurements to make personalized decisions for every patient. Two main challenges in medical image processing has been <em>generalization</em> and <em>personalization</em>. Generalization aims to develop algorithms that work well across diverse patients and scenarios, providing standardized and widely applicable solutions. Personalization, in contrast, tailors algorithms to individual patients based on their unique characteristics, optimizing diagnosis and treatment planning. Generalization offers broad applicability but may overlook individual variations. Personalization provides tailored solutions but requires patient-specific data. While deep learning has shown an affinity towards generalization, it is lacking in personalization. The presence and absence of biomarkers is a personalization challenge rather than a generalization challenge. The variation within OCT scans of patients between visits can be minimal while the difference in manifestation of the same disease across patients may be substantial. The domain difference between OCT scans can arise due to pathology manifestation across patients, clinical labels, and the visit along the treatment process when the scan is taken. Morphological, texture, statistical and fuzzy image processing techniques through adaptive thresholds and preprocessing may prove substantial to overcome these fine-grained challenges. This challenge provides the data and application to address personalization. These files constitute the second phase of the VIP CUP 2023 Challenge at ICIP 2023. This test set has a more general patient base than the first one and as such is a better indicator of the performance of models. This test set was created by taking a subset of the data from a publicly available OCT dataset and then asking our medical partners to provide fine-grained biomarker labels for the competition. We provide the citation for the source of these images below: Kermany D, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018; 172(5):1122-1131. doi:10.1016/j.cell.2018.02.010. This zenodo repository contains the images and submission template file needed for the second phase of the competition.
DOI: 10.6084/m9.figshare.23566995.v2
title: Supplementary Material for: Availability of genetic tests in public health services in Brazil: data from the Brazilian Rare Diseases Network

description: Introduction: The Brazilian Policy for Comprehensive Care for People with Rare Diseases (BPCCPRD) was published in 2014, accrediting several reference centers and incorporating many genetic tests for the diagnosis of rare diseases (RDs). The Brazilian Network of Rare Diseases (RARAS) comprises more than 40 institutions that offer diagnosis and treatment for RDs in Brazil. This network includes Reference Services for Rare Diseases (RDRS), Reference Services for Newborn Screening (NSRS), and University Hospitals (UH) distributed in all Brazilian regions. Objective: To map the availability and distribution of the BPCCPRD diagnostic procedures in the Brazilian Unified Health System through RARAS. Method: Data were collected through a questionnaire on the REDCap platform, with 22 questions regarding the availability of procedures. Thirty-seven coordinators from RARAS participating centers received the questionnaire link for participation by email from August/2020 to March/2021. All participating institutions ethically approved this project. Results: Of the 37 institutions, 23 (62.16%) offered cytogenetic tests, 20 (54.05%) offered molecular procedures, and 22 (59.46%) offered inborn errors of metabolism (IEM) diagnostic tests. The identification of urinary glycosaminoglycans by thin-layer chromatography, electrophoresis, and/or quantitative measurement had the highest outsourcing rate. On the other hand, the procedure most frequently performed on-site was the peripheral blood karyotype with band technique. It was observed that 10 of the 37 centers (27%) did not provide access to investigated procedures (on-site or outsourced). The North and Midwest regions stood out in terms of the unavailability of such techniques in at least 40% of the evaluated institutions. Discussion and conclusion: This study reveals large discrepancies in the supply of diagnostic procedures in the Brazilian territory. Moreover, there is a broad collaboration between services through the outsourcing of multiple diagnostic techniques to address this issue. Finally, this work corroborates the importance of mapping services for the diagnosis and treatment of individuals with RDs to propose actions for the better supply and distribution of these procedures.
DOI: 10.21227/7g6d-dt42
title: CRPs Dataset of Ring Oscillator PUF

description: Physically unclonable functions (PUFs) are foundational components that offer a cost-efficient and promising solution for diverse security applications, including countering integrated circuit (IC) counterfeiting, generating secret keys, and enabling lightweight authentication. PUFs exploit semiconductor variations in ICs to derive inherent responses from imposed challenges, creating unique challenge-response pairs (CRPs) for individual devices. Analyzing PUF security is pivotal for identifying device vulnerabilities and ensuring response credibility. Consequently, CRP-centered scrutiny significantly shapes the block's resilience against general and modeling-based attacks. However, an updated and representative dataset is necessary for this analysis, as benchmark datasets evaluating PUF device efficacy and resilience are currently lacking. This study addresses this gap by producing a dataset of 10K CRPs for a digital PUF realized on a field-programmable gate array (FPGA). This dataset supplies a substantial quantity of CRPs for multi-bit responses, implicitly incorporating spatial and temporal relationships within the extracted CRPs.
DOI: 10.5281/zenodo.8289271
title: Datasets for OffRisk

description: Processed datasets that are supplied for OffRisk tool.
DOI: 10.6084/m9.figshare.23998623.v1
title: Supplementary Material for: A Rare Case of Pulmonary Adenocarcinoma in an Eight Years Old Patient with Persistent Respiratory Manifestation. A Case Report Study.

description: Pulmonary adenocarcinoma is an extremely infrequent cancer in children. This cancer usually presents with unspecific manifestations that lead to delays in diagnosis. The treatment protocol for adenocarcinoma in children remains challenging due to its rarity. We presented an eight years old with a chief complaint of a non-purulent cough, dyspnea, hemoptysis, and weight loss. Decreased lung sounds and wheezing in the left lung were heard during auscultation. The radiographic evaluation showed a mediastinal mass in the left middle upper. A biopsy was performed, and adenocarcinoma was reported. Based on being at stage 1, a lobectomy was the proper treatment for her. Although adenocarcinoma is rare in pediatrics, we suggested that physicians consider taking chest X-rays in patients with persistent respiratory manifestations, especially those with critical symptoms. Early detection leads to diagnosing patients in lower stages, which results in a good prognosis and better treatment outcomes.
DOI: 10.6084/m9.figshare.23999691
title: Supplementary Material for: The use of Crizotinib in Sclerosing Epithelioid Fibrosarcoma with ALK mutation: a case report.

description: Sclerosing epithelioid fibrosarcoma is an ultra-rare and aggressive high-grade fibrosarcoma that was originally described in 1995. More than 100 cases are documented worldwide, with the most extensive case series reporting a high rate of recurrence and metastasis. ALK mutations are commonly seen in soft tissue sarcomas; however, this is the first known case of an ALK V757M mutation. Here, we present a case using crizotinib in treating an ALK-positive sclerosing epithelioid fibrosarcoma refractory to all traditional treatment options
DOI: 10.6084/m9.figshare.23999691.v1
title: Supplementary Material for: The use of Crizotinib in Sclerosing Epithelioid Fibrosarcoma with ALK mutation: a case report.

description: Sclerosing epithelioid fibrosarcoma is an ultra-rare and aggressive high-grade fibrosarcoma that was originally described in 1995. More than 100 cases are documented worldwide, with the most extensive case series reporting a high rate of recurrence and metastasis. ALK mutations are commonly seen in soft tissue sarcomas; however, this is the first known case of an ALK V757M mutation. Here, we present a case using crizotinib in treating an ALK-positive sclerosing epithelioid fibrosarcoma refractory to all traditional treatment options
DOI: 10.48758/ufz.5293
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY335-DOY365, 2017

description: Eddy covariance-Rawdata 2017 Hordorf DOY335-DOY365 (December 2017), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2017_Eddy-Data_DOY335-DOY365.zip
more files available in the same repository
DOI: 10.6084/m9.figshare.22651414.v1
title: Supplementary Material for: International comparison exercise for biological dosimetry after exposures with neutrons performed at two irradiation facilities as part of the BALANCE project

description: In the case of a radiological or nuclear event, biological dosimetry can be an important tool to support clinical decision-making. During a nuclear event, individuals might be exposed to a mixed field of neutrons and photons. The composition of the field and the neutron energy spectrum influence the degree of damage to the chromosomes. During the transatlantic BALANCE project, an exposure similar to a Hiroshima-like device at a distance of 1.5 km from the epicenter was simulated and biological dosimetry based on dicentric chromosomes was performed to evaluate the participants ability to discover unknown doses and to test the influence of differences in neutron spectra. In a first step, calibration curves were established by irradiating blood samples with 5 doses in the range of 0 Gy to 4 Gy at two different facilities in Germany (PTB) and USA (CINF). The samples were sent to eight participating laboratories from the RENEB network and dicentric chromosomes were scored by each participant. Next, blood samples were irradiated with 4 blind doses in each of the two facilities and sent to the participants to provide dose estimates based on the established calibration curves. Manual and semi-automatic scoring of dicentric chromosomes were evaluated for their applicability to neutron exposures. Moreover, the biological effectiveness of the neutrons from the two irradiation facilities was compared. The calibration curves from samples irradiated at CINF showed a 1.4 times higher biological effectiveness compared to samples irradiated at PTB. For manual scoring of dicentric chromosomes, the doses of the test samples were mostly successfully resolved based on the calibration curves established during the project. For semi-automatic scoring, the dose estimation for the test samples was less successful. Doses &gt;2 Gy in the calibration curves revealed non-linear associations between dose and dispersion index of the dicentric counts, especially for manual scoring. The differences in the biological effectiveness between the irradiation facilities suggested that the neutron energy spectrum can have a strong impact on the dicentric counts.
DOI: 10.48758/ufz.5179
title: Eddy covariance rawdata for agricultural site 'Hordorf' (DE-Hod) in central Germany for DOY305-DOY334, 2017

description: Eddy covariance-Rawdata 2017 Hordorf DOY305-DOY334 (November 2017), acquisistion of CSAT3 and LI7500 in 2.3m height with eddymeas, 20Hz, slt and dia files, meta-information in cfg-files

file: HD2017_Eddy-Data_DOY305-DOY334.zip
more files available in the same repository