cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12652829.v2
title: Perforin-2 (MPEG1) knockout mice are not resistant to LPS induced septic shock.

description: In this animal model LPS is injected to induce sterile septic shock. C57BL/6 and 129X1/SvJ wild-type and perforin-2 (mpeg1) knockout mice were injected intraperitoneally with LPS from <i>E. coli</i> 0111:B4 (InvivoGen LPS-EB ultra-pure, catalog # tlrl-3pelps). Mice were monitored hourly for signs of morbidity and humanely euthanized as per IACUUC protocol. "1" indicates subject death, "0" indicates censored subject. On either genetic background the differences between survival rates of WT and perforin-2 KO animals are insignificant. Crucially, we did observe that 129 mice were more resistant to LPS challenge than BL6 mice. This was expected due to the caspase 11 mutation carried by 129s. <i>All animal experiments were approved by and performed in accordance with the University of Miami Institutional Animal Care and Use Committee guidelines.</i><i><br></i><b>Experiment 1. </b>LPS challenge of WT and perforin-2 (mpeg1) -/- C57BL/6 and 129X1/SvJ mice<br><b>Experiment 2</b>. LPS challenge of WT and perforin-2 (mpeg1) -/- 129X1/SvJ mice
DOI: 10.6084/m9.figshare.21695075
title: Supplementary Material for: Genetic Variants in Histone Modification Regions Predict Clinical Outcomes of Pemetrexed Chemotherapy in Lung Adenocarcinoma

description: <b><i>Objective:</i></b> This study was conducted to investigate the association between genetic variants in histone modification regions and clinical outcomes of PEM chemotherapy in patients with lung adenocarcinoma. <b><i>Methods:</i></b> Potentially functional SNPs were selected using integrated analysis of ChIP-seq and RNA-seq. The associations of 279 SNPs with chemotherapy response and overall survival (OS) were analyzed in 314 lung adenocarcinoma patients who underwent PEM chemotherapy. <b><i>Results:</i></b> Among the SNPs investigated, 18 were significantly associated with response to chemotherapy, while 28 with OS. Of these SNPs, rs549794A&gt;G in an enhancer which is expected to regulate the expression of <i>ribosomal protein S3</i> (<i>RPS3</i>) gene was significantly associated with both worse response to chemotherapy and worse OS (adjusted odds ratio = 0.59, 95% CI = 0.36–0.97, <i>p</i> = 0.04; adjusted hazard ratio = 1.44, 95% CI = 1.09–1.91, <i>p</i> = 0.01, respectively). Previous studies suggested that RPS3, a multi-functional protein with various extraribosomal activities, may play a role in chemotherapy resistance. Therefore, it is postulated that rs549794-induced change in the expression level of RPS3 may affect the response to PEM chemotherapy and consequently the survival outcomes in lung adenocarcinoma patients. <b><i>Conclusion:</i></b> This study suggests that genetic variants in the histone modification regions may be useful for the prediction of clinical outcomes of PEM chemotherapy in advanced lung adenocarcinoma.
DOI: 10.25582/data.2021-09.2318712/2184196
title: Data for EMSL Project 51514 from September 2021
DOI: 10.6073/pasta/66b4074425afab3f20eb2817f0e79966
title: Daily weather data file for Arctic Tundra LTER site at Toolik Lake, Arctic LTER 2000.
DOI: 10.25582/data.2021-10.2349923/2184197
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-05.2224154/2184198
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-06.2237759/2184199
title: Data for EMSL Project 51514 from June 2021
DOI: 10.25582/data.2021-10.2349940/2184200
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-10.2353897/2184201
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-10.2349877/2184202
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-05.2224466/2184203
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-10.2353864/2184204
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-10.2349750/2184205
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-06.2236811/2184206
title: Data for EMSL Project 51514 from June 2021
DOI: 10.25582/data.2021-07.2276731/2184207
title: Data for EMSL Project 51514 from July 2021
DOI: 10.25582/data.2021-05.2224130/2184208
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-11.2378033/2184209
title: Data for EMSL Project 51514 from November 2021
DOI: 10.25582/data.2021-05.2224476/2184210
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-05.2222948/2184211
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-05.2222947/2184212
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-09.2328447/2184213
title: Data for EMSL Project 51514 from September 2021
DOI: 10.25582/data.2021-05.2221664/2184214
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-11.2378006/2184215
title: Data for EMSL Project 51514 from November 2021
DOI: 10.25582/data.2021-05.2224187/2184216
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-08.2294899/2184217
title: Data for EMSL Project 51514 from August 2021
DOI: 10.25582/data.2021-05.2224133/2184218
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-05.2224431/2184219
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-10.2353955/2184220
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-11.2377999/2184221
title: Data for EMSL Project 51514 from November 2021
DOI: 10.25582/data.2021-10.2350050/2184222
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-10.2353922/2184223
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-10.2354235/2184224
title: Data for EMSL Project 51514 from October 2021
DOI: 10.25582/data.2021-09.2315595/2184225
title: Data for EMSL Project 51514 from September 2021
DOI: 10.25582/data.2021-02.2167736/2184226
title: Data for EMSL Project 51514 from February 2021
DOI: 10.25582/data.2021-03.2168077/2184227
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-03.2186721/2184228
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-04.2197249/2184229
title: Data for EMSL Project 51514 from April 2021
DOI: 10.25582/data.2021-03.2185436/2184230
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-05.2217927/2184231
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-05.2218885/2184232
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-03.2175907/2184233
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-03.2175917/2184234
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-05.2224668/2184235
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-03.2181557/2184236
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-05.2226379/2184237
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-03.2181308/2184238
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-03.2189794/2184239
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-05.2226092/2184240
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-05.2230982/2184241
title: Data for EMSL Project 51514 from May 2021
DOI: 10.25582/data.2021-04.2215953/2184242
title: Data for EMSL Project 51514 from April 2021
DOI: 10.25582/data.2021-04.2217013/2184243
title: Data for EMSL Project 51514 from April 2021
DOI: 10.25582/data.2021-03.2175957/2184244
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-03.2189786/2184245
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-03.2175928/2184246
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-03.2174250/2184247
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-04.2197225/2184248
title: Data for EMSL Project 51514 from April 2021
DOI: 10.25582/data.2021-03.2185754/2184249
title: Data for EMSL Project 51514 from March 2021
DOI: 10.25582/data.2021-03.2181770/2184250
title: Data for EMSL Project 51514 from March 2021
DOI: 10.15151/esrf-es-1335716605
title: Southern Germany cryo-EM BAG: Structural analysis of protein machineries using single particle cryo-EM

description: In the past, many macromolecular complexes could not be structurally characterized at atomic resolution as they were unsuitable for crystallization and X-ray crystallography and as electron microscopy could not provide high resolution data. This changed rapidly in the last decade, as tremendous progress was achieved in the single particle cryo electron microscopy (cryo-EM) field. Meanwhile, cryo-EM became the method of choice to determine the structure of such complexes, opening a new era of structural biology. In this BAG we will, using cryo-EM, determine the structures of complicated protein machineries including large multi-subunit complexes, protein-nucleic acid complexes and membrane protein complexes. Our projects will contribute to improve the understanding of the molecular basis of energy conversion and cellular respiration, nitrate and ammonium metabolism, ribosome and ribosome-associated functions, DNA damage repair and maintenance.
DOI: 10.17632/7pdyzc84xg.1
title: Evaluation of Anxiety and Depression Levels in Parents of Child With Hearing Loss

description: This study is aimed to compare the depression and anxiety levels between parents with children with hearing loss and parents with children with normal hearing. Within the scope of the study, the hearing loss (HL) group was formed from 60 parents with a child with hearing loss, and the normal hearing (NH) group was formed from 60 parents with a child with normal auditory development. Personal Information Form, Beck Anxiety Inventory (BAI), and Beck Depression Inventory (BDI) were used as data collection tools. The groups were compared among themselves according to their scale scores. In addition, the correlations between the BAI and BDI scores of the individuals in the groups and their parenting attitude, the family's income level, and the parent's education level were examined.
DOI: 10.17632/cj4hc9f2g4.2
title: Prediction of narrow HT-SMA thermal hysteresis using machine learning: A data file

description: These data are reported in a research article entitled “Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning” [1].

Reference:
[1]	Ronald Machaka, Precious M. Radingoana, Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning, Mater. Today Commun. 35 (2023) 105806. https://doi.org/10.1016/j.mtcomm.2023.105
DOI: 10.17632/cj4hc9f2g4.1
title: Prediction of narrow HT-SMA thermal hysteresis using machine learning: A data file

description: These data are reported in a research article entitled “Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning” [1]. Reference: [1] Ronald Machaka, Precious M. Radingoana, Prediction of narrow HT-SMA thermal hysteresis behaviour using explainable machine learning, Mater. Today Commun. 35 (2023) 105806. https://doi.org/10.1016/j.mtcomm.2023.105
DOI: 10.15485/2204548
title: Soil temperature and soil moisture raw data, permafrost table depths, and accompanying environmental variable data, Kenai Wildlife Refuge, 2019-2022

description: Data package purpose: This data package was created to contain all data used in an upcoming article, "Canopy Cover and Microtopography Control Precipitation-Enhanced Thaw of Ecosystem-Protected Permafrost." In review.This data package includes: Raw output from 19 distributed temperature profilers with a thermistor every 10 cm along a 160 cm length at a measurement interval of 15 minutes (.CSV). Raw output from two soil moisture and temperature profilers (90 cm length and 120 cm length) that took composite soil moisture readings every 15 cm along the sensor length at a measurement interval of 30 minutes (.CSV). Permafrost depths were measured annually in mid-September at DTP sensor locations (.CSV) and along an across-site transect (.CSV). Environmental variables (snow depth, canopy closure, moss depth, and elevation) for all sensor locations. Real-time kinetic (RTK) GPS points showing site microtopography (.CSV).Analysis software: Our analysis was done in Matlab. File types can be used with any software.
DOI: 10.6084/m9.figshare.22337299
title: Loading rate and footstrike pattern among trail and road runners on level, inclined, and declined surfaces

description: This is the dataset containing 20 trail runners and 20 road runners during running on flat, inclined and declined surfaces
DOI: 10.21227/xe3b-fa34
title: A dataset of 35 individuals with poor posture and 31 individuals with normal posture

description: The poor posture is one of the main common health problems in the growth of adolescents, which seriously affects their physical and mental health. The posture gait recognition is a premise for preventing and correcting the poor posture. This paper proposes a gait recognition method for poor posture based on PCA-BP neural network. Using wearable intelligent insoles to measure plantar pressure, a gait recognition model based on PCA-BP neural network model is constructed. Sixty-six volunteers which comprises 35 individuals with poor posture and 31 individuals with normal posture are studied, and their plantar pressures are measured to extract 11 gait features, such as the step frequency, the gait cycle, the stance phase, the anterior-posterior foot force, and amplitude in the frequency domain. For simplifying the model's computation, the principal component analysis (PCA) is applied to reduce the dimensionality of the high-dimensional feature vector to 5 principal components. A neural network gait recognition model with a 5-10-1 structure is then constructed to obtain the final gait detection results. Experimental results show that the accuracy of gait recognition based on PCA-BP model is 98.5% when the normal gait threshold is 60%, the accuracy is 93.9% when the normal gait threshold is 70%, and the accuracy is 90.9% when the threshold is 80%, which confirms the effectiveness of the PCA-BP neural network model for gait recognition.
DOI: 10.6084/m9.figshare.24501265
title: Raw data and R codes

description: Oriental pied hornbills (Anthracoceros albirostris) disappeared from Singapore in the 1800s but were reintroduced in the 2000s. Since then, they have multiplied and even thrived in Singapore, spreading throughout much of the country. Because Singapore is extremely urban and densely populated, here we examine where hornbills have been seen as a function of land-use. We combine citizen science data from eBird and iNaturalist with GIS information to model hornbill sightings. We find that the percent Park and Beach cover have strong positive effects on the probability of hornbill sightings, and that percent Park cover has a positive interaction with percent Built-up and Sea cover. Our results are broadly consistent with sightings of oriental pied hornbills in the region.
DOI: 10.6084/m9.figshare.24501265.v1
title: Raw data and R codes

description: Oriental pied hornbills (Anthracoceros albirostris) disappeared from Singapore in the 1800s but were reintroduced in the 2000s. Since then, they have multiplied and even thrived in Singapore, spreading throughout much of the country. Because Singapore is extremely urban and densely populated, here we examine where hornbills have been seen as a function of land-use. We combine citizen science data from eBird and iNaturalist with GIS information to model hornbill sightings. We find that the percent Park and Beach cover have strong positive effects on the probability of hornbill sightings, and that percent Park cover has a positive interaction with percent Built-up and Sea cover. Our results are broadly consistent with sightings of oriental pied hornbills in the region.
DOI: 10.3886/e190381v1-142841
title: Data and Code for: Selection on Welfare Gains: Experimental Evidence from Electricity Plan Choice

description: We study a problem in which policymakers need to screen self-selected individuals by unobserved heterogeneity in social welfare gains from a policy intervention. In our framework, the marginal treatment effects and marginal treatment responses arise as key statistics to characterize social welfare. We apply this framework to a randomized field experiment on electricity plan choice. Consumers were offered welfare-improving dynamic pricing with randomly assigned take-up incentives. We find that price-elastic consumers—who generate larger welfare gains—are more likely to self-select. Our counterfactual simulations quantify the optimal take-up incentives that exploit observed and unobserved heterogeneity in selection and welfare gains.
DOI: 10.34740/kaggle/dsv/6888831
title: Predicting Solar Radiation in Urban Areas
DOI: 10.6084/m9.figshare.24501247
title: <b>Differentially Expressed Genes</b>

description: Supplementary table for transcriptome profiles of streptomyces clavuligerus strains producing different titers of clavulanic acid. This table presents the Differentially Expressed Genes (DEGs) in S. clavuligerus NRRL 3585 mutant strains, namely, OR, C1, and NL.
DOI: 10.6084/m9.figshare.24501247.v1
title: <b>Differentially Expressed Genes</b>

description: Supplementary table for transcriptome profiles of streptomyces clavuligerus strains producing different titers of clavulanic acid. This table presents the Differentially Expressed Genes (DEGs) in S. clavuligerus NRRL 3585 mutant strains, namely, OR, C1, and NL.
DOI: 10.5281/zenodo.10009233
title: The evolution of massive binary stars

description: Input files and data to reproduce the figures of the review paper "The Evolution of Massive Binary Stars".
Simulations shown in the paper were computed using the Modules for Experiments in Stellar Astrophysics code (MESA), with version r23.05.1 and compiled with the MESA SDK version x86_64-linux-22.6.1.
Figures were produced using the julia programming language version 1.9.2 together with Makie.jl. A Project.toml and Manifest.toml file are provided to reproduce the environment used to produce the figures.
DOI: 10.5281/zenodo.10009234
title: The evolution of massive binary stars

description: Input files and data to reproduce the figures of the review paper "The Evolution of Massive Binary Stars".
Simulations shown in the paper were computed using the Modules for Experiments in Stellar Astrophysics code (MESA), with version r23.05.1 and compiled with the MESA SDK version x86_64-linux-22.6.1.
Figures were produced using the julia programming language version 1.9.2 together with Makie.jl. A Project.toml and Manifest.toml file are provided to reproduce the environment used to produce the figures.
DOI: 10.5281/zenodo.10072515
title: Posttraumatic stress symptoms and posttraumatic growth. The mediating role of cognitive coping

description: The aim of the present study is to identify the relation between posttraumatic stress symptoms and posttraumatic growth, as well as the mediating role of cognitive coping in this relation. A sample of 212 adults that reported the experience of a traumatic life events involving death or the threat of death, severe injury, or sexual violence in the last three years were included in the present study (Mage = 33.33; SD = 10.99). The participants completed scales for measuring posttraumatic stress symptoms, posttraumatic growth, and cognitive coping. The results showed that the functional and dysfunctional coping strategies are related to posttraumatic growth and mediate the relationship between the posttraumatic stress symptomatology and the posttraumatic growth.  Particularly, our results indicate that the relations between PTSD symptoms and PTG is mediated by self-blame and positive reappraisal. In order to facilitate positive posttraumatic outcomes and posttraumatic growth processes, intervention should be focusing on increasing positive reappraisal and decreasing self-blame.
DOI: 10.5281/zenodo.10072514
title: Posttraumatic stress symptoms and posttraumatic growth. The mediating role of cognitive coping

description: The aim of the present study is to identify the relation between posttraumatic stress symptoms and posttraumatic growth, as well as the mediating role of cognitive coping in this relation. A sample of 212 adults that reported the experience of a traumatic life events involving death or the threat of death, severe injury, or sexual violence in the last three years were included in the present study (Mage = 33.33; SD = 10.99). The participants completed scales for measuring posttraumatic stress symptoms, posttraumatic growth, and cognitive coping. The results showed that the functional and dysfunctional coping strategies are related to posttraumatic growth and mediate the relationship between the posttraumatic stress symptomatology and the posttraumatic growth.  Particularly, our results indicate that the relations between PTSD symptoms and PTG is mediated by self-blame and positive reappraisal. In order to facilitate positive posttraumatic outcomes and posttraumatic growth processes, intervention should be focusing on increasing positive reappraisal and decreasing self-blame.
DOI: 10.34740/kaggle/dsv/6889020
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.34740/kaggle/dsv/6889100
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.5281/zenodo.10071905
title: Talkshow
DOI: 10.5281/zenodo.10071904
title: Talkshow
DOI: 10.21227/7mkz-3831
title: medical processing

description: The classification of Doppler ultrasound imagesis very important for conception prediction. However it is achallenging problem that suffers from a variable length of thoseimages with a dimension gap between them. In this study, wepropose a latent representation weight learning method (LRWL)for conception prediction with Doppler ultrasound images. Unlikemost existing related methods, LRWL can process a variablelength of multiple images, particularly with an irregular multi-image issue. LRWL can extract the relation between the imagesand then learn the latent representative weight of each image.Comparatively, we also propose another method—spatiotemporalinteraction measurement (SIM), to validate the experimentalassumption that LRWL can describe the role of each image moreaccurately. Then we integrate the images with the weights andthe diagnostic indices, as the input data to a deep learning (DL)model to predict the successful conception. Finally, we conductthe comprehensive experiments with the classification tasks onthe real irregular reproduction datasets and two other syntheticregular datasets. Experimental results show that the proposedLRWL outperforms existing relative methods and is suitable forthe irregular multi-image datasets. It can be efficiently optimizedunder the limited-memory Broyden-Fletcher-Goldfarb-Shannobound constraint algorithm (L-BFGS-B), and the alternatingdirection minimization (ADM) framework. Thus, the proposedmethod can achieve the good performance with high accuracyand good convergence.
DOI: 10.6084/m9.figshare.24501298
title: Research data.zip

description: Taking China National Knowledge Infrastructure ( CNKI ) database as the retrieval platform, the source journals are set as ' Journal of Information Science ', ' Information Science ', ' Information Theory and Practice ', ' Information Journal ', ' Information Work ', ' Data Analysis and Knowledge Discovery ', ' Library and Information Work ', ' Library and Information Knowledge ', ' Library and Information ' and ' Modern Information '. The retrieval time range is from January 1,2012 to March 31,2023, and a total of 28,698 Chinese journal papers are retrieved. After excluding irrelevant items such as journal submission guidelines, solicitation notices, meeting minutes, etc., 27162 literature title information was obtained and exported and saved in Refworks format.