cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6840245.v1
title: Reynolds et al Kostënki 21/III lithic data

description: These files contain descriptive data and metadata for Anosovka points and shouldered points from the Upper Palaeolithic sites of Kostënki 21/III, Kostënki 11/II and Gagarino (Russia), used in the paper:<br>Reynolds, N., Germonpré, M., Bessudnov, A. A. & Sablin, M. V. (2019) The Late Gravettian Site of Kostënki 21 Layer III, Russia: a Chronocultural Reassessment Based on a New Interpretation of the Significance of Intra-site Spatial Patterning. <i>Journal of Paleolithic Archaeology</i> 2 (2): 160–210. <br><br>R code used in the paper is also included.
DOI: 10.17632/9c8kgv7kpy
title: Data for: Transient basin as an indicator of tectonic expressions in bedrock landscape: an approach based on MATLAB geomorphic tool (Transient profiler)

description: Transient Profiler (Matlab tool)
DOI: 10.17632/chxxhnnt4p
title: PotLib 2023: New version of a potential energy surface library for chemical systems

description: POTLIB is a library of global and semiglobal potential energy surface subprograms. The library currently features 410 entries, including both single-state entries and multi-state entries. When one calls the routine of a single-state entry, it returns the ground-electronic-state adiabatic potential energy surface at the input geometry. In addition, some entries also return the gradient of the surface. When one calls a multi-state entry, it returns a diabatic potential energy matrix (DPEM). If the entry also has the gradient of the DPEM, one can compute adiabatic surfaces, their gradients, and the nonadiabatic coupling vectors (NACs) from the DPEM and its gradient by diagonalization. Some but not all the routines conform to one of a set of standard interfaces. The goal is to facilitate chemical dynamics research by collecting and disseminating a comprehensive collection of state-of-the-art potential energy routines (developed by a wide, international group of researchers) with systematic and well-defined interfaces for use with chemical dynamics programs. Systems in the library include CHArO2, CHN2O+, CH2O, CH2O2, CH3N2, CH3O, CH4, CH4Br, CH4Cl, CH4F, CH4O, CH4OCl, CH4OF, CH4OH, CH5, CH5+, CH5N, CH5O2, CH8O2, C2H2N2O, C2H2O, C2H4N, C2H4O4, C2H6Cl, C2H6F, C2H6H, C2H6O, C2H6OH, C2H7, C2O2, C3H4O2, C3H7NO, C6H6O, C6H6S, C7H8S, HBrCl, HCl2, HF2, HI2, HLiF, HNaF, HO2, HO3, HOBr, HSiO, H2Br, H2ClO, H2F, H2F2, H2FO, H2Na, H2O, H2O2, H2OBr, H3, H3Cl, H3ClN, H3ClO, H3N, H3O, H3O2, H3+, H3S, H4ClSi, H4N, H4NO, H4O2, H5GeO, H5Si, H7+, AlmHn, Aln, ArNO, K2Rb2, NO2, N2O, N2O2, N3, N4, O3, and O4.
DOI: 10.6084/m9.figshare.22016282.v1
title: Distraction, learning and performance in dogs

description: Distractions that lead to performance deficits in working dogs can be life-threatening to the dog, its handler, and others. To reduce the impact of extraneous stimuli, distractors that are likely to occur in the working environment can be incorporated into training. Yet, the impact that distraction training has on learning efficacy remains unclear. Similarly, whether dogs are able to generalise from their trained distractors to novel stimuli that they may face whilst working is unknown. Here, we investigated how training with an acoustic distractor impacts dogs’ capacity to learn and later perform a task in the presence of novel stimuli that vary in similarity to the trained distractor (a similar acoustic and a dissimilar light distractor). We found that dogs trained with a distractor learned the task less efficiently than dogs trained in silence, and did not perform the task more efficiently when subsequently tested in the presence of the novel sound or light distractors. Interestingly, the similar auditory stimulus impaired task performance more than the dissimilar light stimulus in dogs from both training conditions. While dogs trained with the acoustic distractor habituated faster to the novel sound distractor than dogs trained without a distractor, this trend was not significant. Our findings highlight potentially negative effects of distraction training on learning, and provide limited support that it improves task performance in dynamic working environments.
DOI: 10.6084/m9.figshare.26364487.v1
title: Supplemental Tables S2, S3, S4, S5 and S10, S11

description: Supplemental Tables S2, S3, S4, S5 and S10, S11
DOI: 10.6084/m9.figshare.28006733.v1
title: Supplementary Material for: Long-Term Outcomes After Slow Low-Dose Oral Immunotherapy for Cow’s Milk

description: Introduction: We previously reported the result of slow low-dose oral immunotherapy (SLOIT), which is a 1-year severity-stratified low-dose OIT for severe cow’s milk allergy (CMA) (threshold dose ≤287 mg of cumulative cow’s milk [CM] protein at the entry oral food challenge [OFC]). After completing the SLOIT protocol (exit-OFC to cumulative 287 mg of CM protein), the participants were instructed to gradually increase the amount of CM, roughly doubling the increasing pace, if they could consume it symptom-free for 2–3 months (SLOIT-plus). This study evaluated the long-term outcomes of SLOIT and identified the factors associated with these outcomes. Methods: The subjects were 23 children who completed the SLOIT protocol and proceeded with the SLOIT-plus instructions. The proportion of subjects who were desensitized to the full dose (FD; 200 mL of CM) was evaluated. Additionally, factors associated with FD 3 years after SLOIT (FD group) were analyzed. The allergic symptoms provoked in the OFC were quantified using the total score (TS) of the Anaphylaxis Scoring Aichi (ASCA), and the overall severity was expressed as TS/Pro (TS/cumulative protein dosage). Results: The number of subjects who were desensitized to FD within 12, 24, and 36 months was 0 (0%), 3 (13%), and 8 (35%), respectively. The FD group exhibited a larger decrease in TS/Pro, IgE specific to CM, and casein after the SLOIT protocol. Conclusions: A third of the children with severe CMA were desensitized to FD within 36 months after SLOIT. A better response to the 1-year SLOIT protocol was associated with better long-term outcomes.
DOI: 10.6084/m9.figshare.28559957.v1
title: Australian Institution Co-authorship Collaboration Patterns DataArena exhibition March 4th

description: <b>Australian Institution Co-authorship Collaboration Patterns</b>On March 4th as part of the Digital Science Showcase, Australian collaboration co-authorship patterns were visualised within the UTS DataArena https://dataarena.net/.<b>About the Researchers</b>The networks presented represent a connected graph of co-authored researchers affiliated to Australian institutions from 2018-2023. Each researcher has been colour coded by the 2-digit FoR 2020 code they are most associated with. Each researcher is depicted by a sphere, and given a size based on the number of publications produced.Graphs were visualised in 3d in Blender. A single co-authorship graph for Australia was created, and then replicated 5 times in a circle, with each instance filtered by institution using geonodes.The presentation in the DataArena is based on the uploaded animation.<b>About the Clusters</b>To make the network easier to read, collaborations between clusters are not displayed, although they do play a significant role in the layout of the network. Clusters are colour coded by the most dominant discipline of the researchers within them, and are given a ‘height' based on the discipline that they proportionally belong to. Biomedical and Clinical Sciences clusters sit at the base of the network, with Language, Communication and Culture sitting at the top.<b>About the Classifications</b>The 2020 Field of Research codes used in this analysis have been assigned to publications using the approach detailed in “Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions” (https://doi.org/10.1162/qss_a_00244.) Note: some research areas are not well represented in the network due to single author publications.<b>Methodology:</b>Graph layout: Batchlayout [1]Clustering: Leiden Algorithm [2]3d Layout: Blender [3]Data: Dimensions [4]Music for Animation: Scientific Cathedral (Instrumental Mix) Roaming Mosaics[5]Music for DataArena: Michele Pasin Dreamy pianos - Study No 1 in C Minor (2023-12) [6]
DOI: 10.6084/m9.figshare.6396959
title: Present and future Köppen-Geiger climate classification maps at 1-km resolution

description: New global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present day (1980–2016) and for projected future conditions (2071–2100) under climate change. The maps are stored in GeoTIFF format as unsigned 8-bit integers. We also provide a legend file (legend.txt) linking the numeric values in the maps to the Köppen-Geiger climate symbols.<br>Please cite the following paper when using the maps in any publication: <br><br>Beck, H.E., N.E. Zimmermann, T.R. McVicar, N. Vergopolan, A. Berg, E.F. Wood: Present and future Köppen-Geiger climate classification maps at 1-km resolution, <i>Scientific Data</i> 5:180214, doi:10.1038/sdata.2018.214 (2018).<br>
DOI: 10.6084/m9.figshare.6739247.v2
title: Phosphatidylethanolamine (PE) raw data

description: <b>Phosphatidylethanolamine (PE)</b> raw data of wild type N2, <i>eat-2, sbp-1 and daf-7</i> control and treated with drugs and drug combinations. PE data summarised based on degree of saturation. 0db = no double bond, 1db = one double bound, 2db = two double bonds, 3db = three double bonds, 4db = four double bonds, 5db = five double bonds, 6db = six double bonds.additional data sets
DOI: 10.17632/tw3ffmj4nf
title: STAR protocols: Assessing persister awakening dynamics following antibiotic treatment in bacteria

description: Test set time lapse microscopy analysis with oufti
DOI: 10.6084/m9.figshare.7688375.v1
title: Metabolite BridgeDb ID Mapping Database (20190207)

description: BridgeDb ID mapping database for metabolites, using HMDB 4.0 (Release of 16 Jan. 2019), ChEBI 172 (Release of 01 Feb. 2019), and Wikidata (07 Feb. 2019) as data sources.<br>Additional mappings are now available for ChEMBL [49.623 IDs], DrugBank [9.211] and Guide to Pharmacology (aka IUPHAR) [5.945 IDs].<br><i>This work was funded by ELIXIR, the research infrastructure for life-science data.</i>
DOI: 10.6084/m9.figshare.9755486.v2
title: perovskites

description: <pre>Matbench v0.1 test dataset for predicting formation energy from crystal structure. Adapted from an original dataset generated by Castelli et al.</pre>
DOI: 10.17632/tgdp9h5wbr
title: Predicting heart attack using time series data

description: Machine learning can be used on the data to predict heart attacks in advance.
DOI: 10.6084/m9.figshare.25249453.v1
title: genome and gene of Peucedanum praeruptorum

description: Peucedanum praeruptorum Dunn. (Apiaceae) has been used in traditional Chinese medicine for a long time. A telomere-to-telomere genome was assembled by the combination of PacBio HiFi, ONT ultra-long, and Hi-C data. The final genome assembly was approximately 1.798 Gb, assigned to 11 chromosomes, and genome completeness &gt; 98%. Comparative genomic analysis suggested that P. praeruptorum experienced two WGD events as the ones in the Apiaceae family. By the transcriptomic and metabolomic analysis of coumarin metabolic pathway, we presented the spatial and temporal distribution of coumarins as well as the expression patterns of key genes for its biosynthesis. Two file in this dataset are:BHQH.t2t.fa.gz is the genome sequences (FASTA) fileBHQH.coding.gene.V3.20230622.tar.gz contains genome coding sequences (FASTA),Annotation features (GFF) and Genomic coding sequences (FASTA)
DOI: 10.6084/m9.figshare.11396745.v1
title: Supplementary Material for: Long-Term Follow-Up Changes of Central Choroidal Thickness Thinning after Repeated Anti-VEGF Therapy Injections in Patients with Central Retinal Vein Occlusion-Related Macular Edema with Systemic Hypertension

description: <b><i>Purpose:</i></b> We investigated the thinning of central choroidal thickness (CCT) following intravitreal injections of anti-vascular endothelial growth factor (anti-VEGF) drugs to treat central retinal vein occlusion (CRVO)-related macular edema in patients with and without systemic hypertension (HT) to assess the influence of repeated anti-VEGF therapy and HT on the choroid in CRVO eyes. <b><i>Methods:</i></b> We conducted a retrospective study involving 27 patients with CRVO-related macular edema from January 2014 to July 2017, with follow-ups exceeding 18 months. Visual acuity (VA), central retinal thickness (CRT), and CCT were evaluated before and after initial anti-VEGF drug treatment during follow-up. <b><i>Results:</i></b> The mean follow-up period was 35.2 months. Seventeen (63.0%) patients had HT. At 1 month after treatment, VA had improved in 21 (77.8%) patients, and CRT had decreased in 25 (92.6%). At the final visit, 22 (81.5%) showed improved VA, 19 (70.4%) had resolved macular edema, and the CCT had gradually become thinner with additional drug injections in all the patients. Furthermore, the mean CCT in HT patients (209.0 µm) was significantly lower than in non-HT patients (256.1 µm), and the mean injections were 7.8 and 5.3, respectively (<i>p</i> = 0.2067). <b><i>Conclusion:</i></b> The CCTs were thinner in eyes with HT than in eyes without HT both before and after the repeated anti-VEGF injections.
DOI: 10.6084/m9.figshare.16899580.v1
title: Data for "Morphological evolution of bird wings follows a mechanical sensitivity gradient determined by the aerodynamics of flapping flight"

description: <br>Data in support of: "Morphological evolution of bird wings follows a mechanical sensitivity gradient determined by the aerodynamics of flapping flight" published in Nature CommunicationsManuscript abstract:The physical principles that govern the function of biological structures also mediate their evolution, but the evolutionary drivers of morphological traits within complex structures can be difficult to predict. Here, we use morphological traits measured from 1096 3-dimensional bird wing scans from 178 species to test the interaction of two frameworks for relating morphology to evolution. We examine whether the evolutionary rate (<i>σ</i><sup><em>2</em></sup><i>) and mode is dominated by the modular organization of the wing into handwing and armwing regions, and/or the relationship between trait morphology and functional output (i.e. mechanical sensitivity, driven here by flapping flight aerodynamics). Our results support discretization of the armwing and handwing as morphological modules, but morphological disparity and </i><i>σ</i><sup><em>2</em></sup><i> varied continuously with the mechanical sensitivity gradient and were not modular. Thus, mechanical sensitivity should be considered an independent and fundamental driver of evolutionary dynamics in biomechanical traits, distinct from morphological modularity.</i>
DOI: 10.6084/m9.figshare.28028714.v1
title: Prediction of Academic Performance

description: Processed_Data, Model Training and SHAP Analysis
DOI: 10.6084/m9.figshare.11764395.v1
title: Timescales of regional precipitation change

description: Data produced to generate the figures presented in the paper titled "Time-evolving sea surface warming patterns modulate the climate change response of subtropical precipitation over land". All data is saved in netcdf format.<br>Fig1: - pr_response_rcp45_abrupt4xCO2.nc<br>Fig 2 and Fig 3: - pme_timescales_in_abrupt4xCO2.nc- pr_timescales_in_abrupt4xCO2.nc- tas_timescales_in_abrupt4xCO2.nc- ua850_timescales_in_abrupt4xCO2.nc<br>Fig 4: - timescales_warming_rcp45.nc- decomposition_regional_pme_rcp45.nc- decomposition_regional_precipitation_rcp45.nc<br>
DOI: 10.6084/m9.figshare.16895824.v1
title: Additional file 2-7

description: Additional file 2 · Table S1: TPM values of scRNA-Seq for patient-derived cell lines Additional file 3 · Table S2: Cell clustering results of Sharma et al dataset · Table S3: Cell clustering results of Purum et al dataset Additional file 4 · Table S4: ITTH score and drug response · Table S5: CIBERSORT's TCGA deconvolution · Table S6: CIBERSORT's signature matrix Additional file 5 · Table S7: GDSC drug statistics · Table S8: GDSC cell lines Additional file 6 · Table S9: Drug combinatorial prediction · Table S10: Monotherapy prediction Additional file 7 · Table S11: Drug dosages in experimental validation · Table S12: Experimental results of monotherapy · Table S13: Experimental results of drug combination
DOI: 10.6084/m9.figshare.22691467.v1
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.26014753.v1
title: Test and Measure for Partial Mean Dependence Based on Machine Learning Methods

description: It is of importance to investigate the significance of a subset of covariates <i>W</i> for the response <i>Y</i> given covariates <i>Z</i> in regression modeling. To this end, we propose a significance test for the partial mean independence problem based on machine learning methods and data splitting. The test statistic converges to the standard Chi-squared distribution under the null hypothesis while it converges to a normal distribution under the fixed alternative hypothesis. Power enhancement and algorithm stability are also discussed. If the null hypothesis is rejected, we propose a partial Generalized Measure of Correlation (pGMC) to measure the partial mean dependence of <i>Y</i> given <i>W</i> after controlling for the nonlinear effect of <i>Z</i>. We present the appealing theoretical properties of the pGMC and establish the asymptotic normality of its estimator with the optimal root-<i>N</i> convergence rate. Furthermore, the valid confidence interval for the pGMC is also derived. As an important special case when there are no conditional covariates <i>Z</i>, we introduce a new test of overall significance of covariates for the response in a model-free setting. Numerical studies and real data analysis are also conducted to compare with existing approaches and to demonstrate the validity and flexibility of our proposed procedures. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.6168461.v1
title: Additional file 4: of SpirPep: an in silico digestion-based platform to assist bioactive peptides discovery from a genome-wide database

description: Table S1. Dataset and output comparison between SpirPep and BIOPEP, the identified bioactive peptides obtained from temperature stress â expressed protein [30] digested with trypsin and no miscleavage. (XLSX 18Â kb)
DOI: 10.6084/m9.figshare.27310449.v2
title: Data for main and supplementary figures

description: <i>Staphylococcus aureus</i> is a major pathogen responsible for a wide range of infections, from minor skin diseases to life-threatening conditions, such as sepsis and pneumonia. Its ability to invade nonphagocytic cells, evading immune system and persisting intracellularly complicates the treatment and contributes to recurrent infections. In this study we investigated the role of cytokines in inhibiting <i>S. aureus</i> adherence and invasion into nonphagocytic human cells. Monomac-6 cells were stimulated with heat-killed <i>S. aureus</i> (HKSA) to produce a cytokine cocktail, which was used to treat various human cell lines, including HEK293, A549, HaCaT, and HT29. Our results demonstrate that cytokines significantly reduced <i>S. aureus</i> adherence and invasion into HEK293, HaCaT, and HT29 cells by altering the expression of key host cell receptors for <i>S. aureus </i>adhesins and invasion, such as integrins and heat shock proteins. These effects of cytokines were mediated via JAK-STAT pathway as the tofacitinib supplementation, a JAK inhibitor, reversed the effects of cytokine cocktail. However, these effects were not observed in A549 cells, most likely due to their ability to actively internalize pathogens. These findings suggest that cytokines provide a crucial line of defense against the ability of <i>S. aureus</i> to invade nonphagocytic cells by modulating the expression host cells receptors.
DOI: 10.6084/m9.figshare.27684228.v1
title: 1995 年至 2020 年的城市森林覆盖数据

description: 该数据描述了 1995 年至 2020 年中国城市森林面积的变化。 空间分辨率为 300 m 的欧洲航天局气候变化倡议 （ESA-CCI） 土地利用数据集用于定义 1995-2020 年期间的城市地区和林地，该数据集从 http://maps.elie.ucl.ac.be/CCI/viewer/ 。该数据集的一个关键方面是其随时间和空间分辨率的一致性，这使得研究城市化对森林的影响变得可能。该数据集在以前的研究中已被用于识别城市变化，我们每年从数据集中提取中国的城市面积和林地覆盖，将这两个土地类别的交叉区域定义为城市森林。 城市森林面积的变化 是 。它包括两个主要步骤，即 （1） 对相邻的城市森林分布进行重分类，（2） 计算重分类栅格值之间的差异，以及 （3） 根据差异定义城市森林面积的变化。
DOI: 10.6084/m9.figshare.4669348.v1
title: A Dataset for The Bug Report Duplication Problem

description: Bug report dataset created to support the study on the bug report duplication problem. It covers a set of bug reports of eight popular open source projects in a period of seven years. The dataset allows researchers to explore bug reports data, and understand and answer different questions on bugs nature, as well as finding the correlation between bugs and projects characteristics, how they have evolved over the years and so on.
DOI: 10.6084/m9.figshare.13108346.v1
title: complete_dataset_h_cleaned.csv

description: This dataset has five columns: device, tower, activity, stream and algorithm. The first is the hashed phone number of the 65 participants in the study, tower is the "identified" cell, activity is the number of events at that particular tower using "stream" (CDR, XDR, and CPR) and algorithm HDA1 through HDA5 as described in Vanhoof (2018).
DOI: 10.6084/m9.figshare.25632501.v2
title: Choice and laterality data per subject per trial and test. Second file contains latency (seconds) to choice for all participants in all trials and tests.

description: First columns are the subject Num, Age, Species, name and test date. Rest of the columns contain correct (1) or incorrect (0) choices as well as laterality (R, L). Names specify stimuli available in the two way spontaneous choice task, for example, "Control05_Circle_Large_Circle vs Circle_Choice" marks the a control trial comparing two circles, with difference ratio of 0.5 and in which the larger circle is on the left.
DOI: 10.17632/52342x45rv
title: Data for assessing EA and knowledge in selected teacher colleges in Tanzania

description: This dataset was collected in response to the exploration of the intervention conducted to assess the effect of inquiry-based learning on environmental attitudes and knowledge of pre-service biology teachers in selected teacher colleges in Tanzania. This dataset contains pre and posttests for two colleges and posttests only for other two colleges adding up to four teacher colleges from which data were collected. This dataset provides an overview that lays the foundation upon which further research can be carried out to enhance environmental education and sustainability education in teacher colleges in Tanzania and beyond other areas that bear similar contexts.