cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25368127.v1
title: Intein-mediated thyroid hormone biosensors: towards controlled delivery of hormone therapy

description: Although blood sampling and medical imaging are well-established techniques in clinical diagnostics, they often require long post-processing procedures. Fast and simple quantification of signaling molecules can enable efficient health monitoring and improve diagnoses. Thyroid hormones (THs) treatment relies on trial-and-error dose adjustments, and requires constant tracking via blood tests. Thus, a fast and reliable method that can constantly track THs levels could substantially improve patient quality of life by reducing their visits to doctors. Synthetic biosensors have shown to be inexpensive and easy tools for sensing molecules, with their use in healthcare increasing over time. This study describes the construction of an engineered THs bacterial biosensor, consisting of a split-intein-based TH receptor ligand binding domain (LBD) biosensor that reconstitutes green fluorescence protein (GFP) after binding to TH. This biosensor could quantitatively measure THs concentrations by evaluating fluorescence intensity. In vitro sensing using Escherichia coli produced GFP over a wide dynamic range. The biosensor was further optimized by adding a double LBD, which enhanced its dynamic range until it reached healthy physiological conditions. Moreover, a mathematical model was developed to assess the dynamic properties of the biosensor and to provide a basis for the characterization of other intein-mediated biosensors. This type of biosensor can be used as the basis for novel treatments of thyroid diseases and can be adapted to measure the concentrations of other hormones, giving rise to a series of mathematically characterized modular biosensors.
DOI: 10.6084/m9.figshare.26206355.v1
title: UCR Archive 2018 (resplit ver.)

description: The UCR Archive 2018 provides 128 time series datasets with diverse sources. But there are two primary issues to be used to train a time series generative model. Firstly, a majority of the datasets have a larger test set compared to a training set. Secondly, there is clear difference in patterns between training and test sets for some of the datasets.To make the datasets from this archive more suitable for a time series generation task, we merged the existing training and test sets and resplit it using StratifiedShuffleSplit (from sklearn) into 80% and 20% for a training set and test set, respectively.
DOI: 10.6084/m9.figshare.5146540.v3
title: MEG and Anatomical Data - The Detection of Phase Amplitude Coupling During Sensory Processing

description: MEG and anatomical data for the following manuscript:<br>Seymour, Kessler & Rippon (2017). The Detection of Sensory Phase Amplitude Coupling.<br>Data is organised into the BIDS format for MEG<br>For each participant this dataset includes:<br>- MEG data preprocessed with Maxfilter (tSSS 0.9 correlation limit)- 3D cortical mesh generated using Freesurfer (+HCP)- MEG Sensor Information (sens.mat)- Segmented MRI (seg.mat)- Pictures for coregistration accuracy.<br>
DOI: 10.17632/dktf9fkwdb
title: Data on radiocarbon 14C generation in the atmosphere under thunderstorms

description: It was realized simulation of radiocarbon 14C creation in the atmosphere at thunderstorm conditions for the altitudes up to 15 km above the sea level. The simulation was done by means the proposed gross model which takes into account the rate of 14C production depending on the part of energetic electrons in the flash discharge for different altitudes above the sea level. Basing on the nuclear data it was calculated the probability of 14C creation depending on the neutron energy at radiocarbon production.The results revealed that yield of thunderstorm mechanism to the total radiocarbon creation is very small compare to the main one – originated from the cosmic irradiation. The data on thunderstorm neutron flux which reaches the ground level are presented.
DOI: 10.17632/rf4g7pbvr4
title: Data for: Drivers of Degree of Sophistication in Hotel Revenue Management Decision Support Systems

description: This dataset contains a file appendices of respondent characteristics and respondent hotel characteristics. Additionally, survey instrument questions are provided.
DOI: 10.6084/m9.figshare.18858344.v1
title: A global review of the conservation threats and status of mustelids

description: Data collected from the literature review
DOI: 10.6084/m9.figshare.7387757.v1
title: Supplementary Material for: A Radiomics Nomogram for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma

description: <b><i>Background:</i></b> Radiomics has emerged as a new approach that can help identify imaging information associated with tumor pathophysiology. We developed and validated a radiomics nomogram for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> Two hundred and eight patients with pathologically confirmed HCC (training cohort: <i>n</i> = 146; validation cohort: <i>n</i> = 62) who underwent preoperative gadoxetic acid-enhanced magnetic resonance (MR) imaging were included. Least absolute shrinkage and selection operator logistic regression was applied to select features and construct signatures derived from MR images. Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and radiomics signatures associated with MVI, which were then incorporated into the predictive nomogram. The performance of the radiomics nomogram was evaluated by its calibration, discrimination, and clinical utility. <b><i>Results:</i></b> Higher α-fetoprotein level (<i>p</i> = 0.046), nonsmooth tumor margin (<i>p</i> = 0.003), arterial peritumoral enhancement (<i>p &lt;</i> 0.001), and the radiomics signatures of hepatobiliary phase (HBP) T1-weighted images (<i>p &lt;</i> 0.001) and HBP T1 maps (<i>p &lt;</i> 0.001) were independent risk factors of MVI. The predictive model that incorporated the clinicoradiological factors and the radiomic features derived from HBP images outperformed the combination of clinicoradiological factors in the training cohort (area under the curves [AUCs] 0.943 vs. 0.850; <i>p</i> = 0.002), though the validation did not have a statistical significance (AUCs 0.861 vs. 0.759; <i>p</i> = 0.111). The nomogram based on the model exhibited C-index of 0.936 (95% CI 0.895–0.976) and 0.864 (95% CI 0.761–0.967) in the training and validation cohort, fitting well in calibration curves (<i>p</i> &gt; 0.05). Decision curve analysis further confirmed the clinical usefulness of the nomogram. <b><i>Conclusions:</i></b> The nomogram incorporating clinicoradiological risk factors and radiomic features derived from HBP images achieved satisfactory preoperative prediction of the individualized risk of MVI in patients with HCC.
DOI: 10.17608/k6.auckland.5405554.v4
title: ISSP2017: Social Networks III

description: The third International Social Survey Programme (ISSP) survey by COMPASS Research Centre at the University of Auckland.<br>A verbose rundown on topics covered follows.Social relations and social networks. Number of adult brothers and sisters; frequency of personal (visits, meetings) and non-personal contacts (telephone, letter, fax or email) with the parents, brothers and sisters and own children; time for the journey to where the mother lives, frequency of the contacts to relatives (uncles and aunts, cousins, parents-in-law, brothers-in-law or sisters-in-law, nieces and nephews, godparents); number of close friends at work place, in the neighbourhood, and in general; sex of best close friend; frequency of contact to the best friend; participation in activities of groups like sports club, charitable organisation, neighbourhood, political party, an association, and a church or religious organisation.<br>First and second contact person for support in respondent's household, at money problems and in case of a depression; frequency of helping others in household, by loaning money, by talking to depressed persons and in giving help at job search; information source at the search for the present job; importance of character traits of close friends: Intelligence, helpfulness, understanding and enjoyable company (scale); attitude to the moral obligation of adult children to care for their parents; people who are better off should help friends who are less well off; attitude to development of friendships to once own advantage; attitude to a state responsibility to provide the childcare and an adequate standard of living for old people; personal luck assessment; feeling of being overused by family, relatives or friends; trust in neighbours (scale); duration of living at the place of residence; political efficacy; frequency of political discussions with friends.<br>Demography: sex; age; marital-status; education; current employment status; hours worked weekly; occupation; working for private or public sector or self-employed; if self-employed: number of employees; supervisor function; trade union membership; current employment status; earnings; family income; household size; religious denomination; attendance of religious services; size of community; type of community: urban-rural area; ethnicity.
DOI: 10.17632/5xmzkgcgg7
title: Digiteo_seq3_Active-Stereo_RGB-D

description: This dataset was recorded with an intel® RealSense™ Depth Camera D435i. The dataset was recorded in the car park of the laboratory Digiteo bât 660, using Active-Stereo RGB-D mode.
DOI: 10.17632/wf4h2v5hyn
title: Survey data on dysfunctional attitudes, personality traits and agreement with persuasive techniques.

description: Data on customers personality traits, dysfunctional attitudes, responses to statements with embedded persuasion techniques and background and demographics. This dataset is in an excel file
DOI: 10.6084/m9.figshare.19430552.v1
title: Supplementary Material for: The Network Structure of ICD-11 Disorders Specifically Associated with Stress: Adjustment Disorder, Prolonged Grief Disorder, Posttraumatic Stress Disorder, and Complex Posttraumatic Stress Disorder

description: <b><i>Introduction:</i></b> The ICD-11 includes a new grouping for “disorders specifically associated with stress” that contains revised descriptions of posttraumatic stress disorder (PTSD) and adjustment disorder (AjD) and new diagnoses in the form of complex PTSD (CPTSD) and prolonged grief disorder (PGD). These disorders are similar in that they each require a life event for the diagnosis; however, they have not yet been assessed together for validity within the same sample. We set out to test the distinctiveness of the four main ICD-11 stress disorders using a network analysis approach. <b><i>Methods:</i></b> A population-based, cross-sectional design. A nationally representative sample of adults from the Republic of Ireland aged 18 years and older (<i>N</i> = 1,020) completed standardized measures of PTSD, CPTSD, AjD, and PGD. A network analysis was conducted at the symptom level. Outcome measures included the International Trauma Questionnaire, the Inventory of Complicated Grief, and the International Adjustment Disorder Questionnaire. <b><i>Results:</i></b> Consistent with the taxonomic structure of the ICD-11, our results showed that although the four conditions clustered independently at the disorder level, the specific symptoms of PTSD, CPTSD, PGD, and AjD clustered together very strongly but more strongly than with symptoms of the other disorders. The majority (61%) of the variation in each symptom could be explained by its neighboring symptoms. The strongest transdiagnostically connecting symptom was “startle response.” <b><i>Discussion/Conclusion:</i></b> Mental health professionals caring for people who have experienced a range of stressors and traumatic life events can be confident in diagnosing these conditions that have clear diagnostic boundaries. Interventions addressing stress-associated disorders should be based on diagnostic assessment to ensure close fit between symptoms and treatment.
DOI: 10.6084/m9.figshare.24520528.v1
title: Impact of body image on the kinematics of gait initiation

description: In our daily lives, we walk naturally because we can consider our physical characteristics and formulate appropriate motor plans. However, the impact of changes in body image during motor planning on walking movements remains poorly understood. Therefore, in this study, we investigated how walking movements change when body image is altered. We included 26 participants (13 males, 13 females, aged 18.27±0.52) to perform walking movements under five conditions: open eyes (baseline), closed eyes, closed eyes while imagining their bodies becoming large, closed eyes again, and open eyes again. As a result, under the condition where participants imagined their bodies becoming large, their stride length, step completion time, and foot lift height increased. These results are attributed to the disparity between actual body size and body image, which affects motor planning. The results of this study have potential applications in rehabilitation and sports coaching settings.
DOI: 10.6084/m9.figshare.28333385.v1
title: <b>A telomere-to-telomere chromosome-level genome of glass catfish, </b><b><i>Kryptopterus vitreolus</i></b>

description: <b>A telomere-to-telomere chromosome-level genome of glass catfish, </b><b><i>Kryptopterus vitreolus</i></b>
DOI: 10.6084/m9.figshare.4588315.v1
title: HELCATS interplanetary coronal mass ejection catalogue ICMECAT

description: This is the HELCATS interplanetary CME catalog, based on magnetometer and plasma observations in the heliosphere.<br>If this is used for a peer reviewed publication, please notify me via "christian.moestl [at] oeaw.ac.at" or "https://twitter.com/chrisoutofspace"<br>Number of events in ICMECAT: 668<br>ICME observatories: Wind, STEREO-A, STEREO-B, VEX, MESSENGER, ULYSSES<br>Time range: January 2007 - December 2015.<br><br>The .sav file can be read directly in IDL ("restore" function) and python ("scipy.io.readsav").<br><br>See header file for more explanations.<br><br>
DOI: 10.17632/b84jk376c3
title: Dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices (VIs), with observations of photosynthetic function and CO2 dynamics for corn (Zea mays L.)

description: This dataset links measurements of leaf-level reflectance, active chlorophyll fluorescence, canopy reflectance and solar induced fluorescence (SIF) and a set of canopy vegetation indices (VIs such as PRI, NDVI, Clre, etc.) with eddy covariance measurements of gross ecosystem productivity (GEP). The dataset can be used to tests the hypothesis that canopy remote sensing observations can be used to detect the changes in reflectance and fluorescence at leaf level, and to develop approaches using SIF and VIs for monitoring vegetation photosynthetic function. The data were collected during the 2017 growing season on maize, using three automated systems (i.e., Moni-PAM, FloX and eddy covariance tower), filtered and collated to a common 30 minutes timestep. The raw data is provided to enable new processing and analysis. The dataset in this depository was used in three publications, where different researched hypothesis were tested. The dataset is described in details, and the measured and derived parameters are defined, in the accompanying "Data in brief' paper, where the published manuscripts are also listed.
DOI: 10.6084/m9.figshare.22350907.v3
title: Megafauna diversity and functional declines in Europe from the Last Interglacial to the present

description: <b>Aim:</b> Reconstructing megafauna diversity in a past before anthropogenic impacts is crucial for developing targeted restoration strategies. We estimated the diversity and functional decline of European megafauna in the present compared to the nearest in time climate period analogue to the present but prior to the worldwide diffusion of Homo sapiens.<b>Location: </b>Europe.<b>Time period: </b>Last Interglacial (LIG; ca. 127,000 years ago) to present.<b>Major taxa studied: </b>Wild, large (≥10 kg) terrestrial mammals.<b>Methods: </b>We assessed the distribution of 48 European megafauna species during the LIG using hindcasting modelling and fossil records. Then, we estimated the decline in megafauna community diversity and potential trait-based functional effects from the LIG to the present, accounting for climate differences between the two periods.<b>Results: </b>Species richness and community biomass dropped by 70.8% (± 11.7%) and by 94.5% (± 9.9%). Functional diversity dropped by 80.3% (± 15.3%) for herbivores and by 64.9% (± 29.1%) for carnivores, while trait-informed potential vegetation and meat consumptions dropped by 82.3% (± 13.4%) and 60.5% (± 26.0%). The loss in megafauna diversity and associated ecological processes were high everywhere, but particularly in western Europe for carnivores and in the East European Plain for herbivores. Potential megafauna richness in the two periods were similar if only climate-driven differences were considered.<b>Main conclusions: </b>Severe, size-biased defaunation has degraded megafauna assemblages and megafauna-mediated ecological processes across Europe from the LIG to the present. These patterns cannot be explained by climate differences between the two periods, thus were likely driven by prehistoric Homo sapiens. The results suggest that the structure of wild ecosystems of the present strongly deviates from the evolutionary norm, with decreased functional heterogeneity and decreased fluxes of biogeochemical compounds across the trophic networks, highlighting the importance of ambitious policies of megafauna community restoration to support ecosystems functioning.
DOI: 10.6084/m9.figshare.28425950.v1
title: Dataset: Fixed traits and flexible habits: Balancing personality, chronotype, and lifestyle in whole-person education

description: This dataset was collected as part of a cross-sectional study examining factors influencing student success at a private Christian university in the South-Central U.S. The dataset includes responses from <b>963 first-year students (ages 18-25)</b> who met inclusion criteria, providing comprehensive data on academic performance, personality traits, lifestyle habits, physical health, and socioeconomic status.<b>Data Components:</b><b>Academic Performance:</b> GPA (university records)<b>Self-Reported Surveys:</b> Personality traits, lifestyle habits, stress levels<b>Physical Health Indicators:</b> BMI, resting heart rate, daily step counts<b>Socioeconomic Status:</b> Estimated via Expected Family Contribution (EFC)This dataset offers valuable insights into the relationships between academic achievement, well-being, and socioeconomic factors in higher education.
DOI: 10.6084/m9.figshare.28876400.v4
title: Data for 'Cretaceous entomopathogenic fungi illuminate the early evolution of insect–fungal associations'

description: ESM for fossil fungi research.
DOI: 10.6084/m9.figshare.3557079.v1
title: Appendix B. Methods for the collection and processing of tree cores.

description: Methods for the collection and processing of tree cores.
DOI: 10.6084/m9.figshare.8313143.v1
title: Supplementary Material for: Chitosan Oligosaccharide Exerts Anti-Allergic Effect against Shrimp Tropomyosin-Induced Food Allergy by Affecting Th1 and Th2 Cytokines

description: <b><i>Background:</i></b> Shrimp-derived allergen has a serious impact on people’s health. Chitosan oligosaccharide (COS) has anti-allergic action but its function on shrimp allergen-induced allergy and related molecular mechanisms remain unclear. <b><i>Methods:</i></b> COS and its degrees of polymerization (DP) were selected to interact with shrimp tropomyosin (TM) and IgE was measured. A mouse model of food allergy was established by receiving shrimp TM intraperitoneally. The models were treated with different concentrations of COS. Fecal and serum histamine, serum IgE, IgG1 and IgG2a, and inflammatory cytokines were measured. <b><i>Results:</i></b> The main products for COS were DP2–6 with the contents of 6, 40, 26, 16, and 4%, respectively, and reacted with shrimp TM increasingly when COS DP was increased. Severe symptoms of food allergy were observed in the TM group (diarrhea, anaphylactic response, and rectal temperature). In contrast, COS treatment improved these symptoms significantly (<i>p</i> &lt; 0.05). The sensitized mice were desensitized after they were treated with 1 mg/kg COS. COS treatment significantly reduced serum IgE and IgG1 levels, and increased IgG2a levels (<i>p</i> &lt; 0.05). COS consumption decreased fecal and serum histamine. COS treatment reduced Th2 cytokine (IL-4, IL-5, and IL-13) levels and increased the Th1 cytokine (IFN-γ) level (<i>p</i> &lt; 0.05). <b><i>Conclusions:</i></b> COS showed anti-allergy properties by regulating the levels of Th1 and Th2 cytokines.
DOI: 10.17632/fsz96f3h59
title: Dataset towards influence factors study of Vietnamese youth's behavioral intention to use the IoT services at retail stores 

description: The dataset was collected from +1,000 Vietnamese youngsters' perspectives on intention to adopt the IoT services when shopping at retail stores.  The online survey of the questionnaire was distributed via online platforms such as Facebook groups, Email, etc from December 2021 to January 2022.
DOI: 10.17632/gnyzwrz4gt
title: Data for Dadi-Poti (Cultural Heritage) - Sample Image Dataset used for Automatic Visual Inspection System

description: It contains an image dataset of the Dadi-Poti tomb in New Delhi, India. It can be used for training convolutional neural networks (CNN). The data was collected to identify various damage typologies in cultural heritage preservation.
DOI: 10.17632/jy7827pzdb
title: China's Sectoral CO2 Emissions (1981-2020)

description: This account covers energy-related carbon dioxide emissions from 37 product sectors and the residential sector in China, along with process emissions from cement and carbide production.
DOI: 10.6084/m9.figshare.25939711.v2
title: TWS data (CSR GRACE).xlsx

description: This dataset contains Total Water Storage (TWS) data derived from the Gravity Recovery and Climate Experiment (GRACE) mission using the Center for Space Research (CSR) Mascon solution. The dataset started from Apr-2002 to Sep-2022 and provides monthly TWS over Dakhla Subbasin
DOI: 10.6084/m9.figshare.26509627.v1
title: CD_genome_annotation

description: Clarias dussumieri, commonly known as the giant river catfish, is a vital freshwater specieswith ecological and economic significance, holds significance in the catfish aquacultureglobally. Other species of clariid catfish viz., Clarias magur endemic to Indian subcontinents,and male individual of magur does not responds to the synthetic hormone for inducedbreeding, thus the male needs to be sacrifice whereas the Clarias dussumieri properlyrespond to the synthetic hormones, thus it’s become important for, comprehensive genomicinformation for this species is lacking. In this study, we present the de novo genomeassembly to address this gap by generating high quality chromosome level genome assemblyusing PacBio long reads and Hi-C scaffolding. The assembled chromosome-level genome,918.7MB in size. The genome characterization includes repeat characterization, identifying1174725 SSRs, and prediction of 25369 genes with functional annotations. The Sigle copyorthologs analysis places C. dussumieri in a distinct position with the magur. Additionally,the study delves into reproductive gene and GAD gene isoforms responsible for synthesis ofGABA, a key player in final maturation and spermiation in cat fishes. The comprehensivegenomic information offers resources for comparative genomics with Clarias magur foreconomic traits improvement.