cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7yrhbr4rb7
title: A Chirality-Sensitive Approach to Model Chemical Transfer Across the Human Placental Barrier

description: This dataset contains information needed to reproduce the EigenValue analysis models for placental permeability. Files include molecule names and identifiers for the datasets, and input (eigenvalue descriptors and activity information) used in building the models. The complete details will be provided in a manuscript soon to be submitted to a scientific journal.
DOI: 10.17632/m8y453tbyj
title: Mobile observation of air pollution characteristics and source tracking in Megacity Chengdu

description: The data is collected by mobile observation and fixed station.
DOI: 10.6084/m9.figshare.19790509.v1
title: Relationship between job satisfaction, burnout, and depressive symptoms in physicians: A cross-sectional study based on the employment demand-control model

description: Supplement material
DOI: 10.6084/m9.figshare.27060475.v1
title: 基于图神经 Koopman 网络的 PM2.5 动态模态分解与短时预测

description: 的时空动态 PM<sub>2.5</sub> 仍然具有挑战性。现有的时空预测方法与高模型复杂性和有限的可解释性有关。将考夫曼理论与深度学习相结合的传统方法往往会忽视时空数据中固有的空间相关性。本研究使用<sub>2.5</sub> 数据集京津冀，使用 Koopman 模态分解来识别关键的动态模态，从而揭示其时空层次结构。此外，提出了一种利用图表示学习方法的空间物理约束学习 （SPCL） 模型，将 PM<sub>2.5</sub>与 Koopman 特征函数相结合，使用图卷积网络将其集成到 Koopman 自编码器中。结果表明，PM<sub>2.5</sub> 具有增长、衰减和振荡模式，以及每日、每周、每月和每年的周期。SPCL 模型的平均绝对误差、均方根误差 （RMSE） 、相关性 r和一致性 值分别为 9.678 、 13.922 、 0.864 和 0.921。与使用长短期记忆、图卷积网络和长短期记忆网络、时空图卷积网络和动态时空图卷积网络相比，SPCL 在 12 h 时预测的平均 RMSE 值分别提高了 16.1%、12.7%、0.9% 和 3.5%。通过离散神经网络隐藏层，<sub>2.5</sub>，表现出增强的稳定性。
DOI: 10.6084/m9.figshare.3549951.v1
title: Appendix C. ANOVA results for leaf damage by insect herbivores.

description: ANOVA results for leaf damage by insect herbivores.
DOI: 10.17632/d5cc83ks6c
title: SFU-HW-Tracks-v1

description: A dataset of object tracking annotations for a subset of JCT-VC Common Test Conditions video sequences.
DOI: 10.17632/v6gjkzggfr
title: CMS121, a fatty acid synthase inhibitor, protects against excess lipid peroxidation and inflammation and alleviates cognitive loss in a transgenic mouse model of Alzheimer's disease

description: This dataset contains the raw data obtained for the DARTS/proteomics and the metabolomics analyses performed to identify the putative target of CMS121, an Alzheimer's disease drug candidate. We refer to the published manuscript for more detailed information: https://doi.org/10.1016/j.redox.2020.101648
DOI: 10.6084/m9.figshare.26543479.v4
title: Supplementary Data Files

description: Mathivanan RK, Pederson C, Turkus J, Shrestha N, Torres-Rodriguez JV, Mural RV, Obata T and Schnable JC. Transcripts and genomic intervals associated with variation in metabolite abundance in maize leaves under field conditions. Supporting data files used for the above study.
DOI: 10.17632/ccfnn3jb2x
title: Data and Python scripts for "Improvement of Intervention Information Detection for Automated Clinical Literature Screening during Systematic Review"

description: Data and Python scripts for "Improvement of Intervention Information Detection for Automated Clinical Literature Screening during Systematic Review"
DOI: 10.6084/m9.figshare.16673992.v1
title: SPM.mat

description: The attached file includes data relates to brain imaging in experiment 2
DOI: 10.6084/m9.figshare.19221222.v1
title: Supplementary Material for: Role of Circulating Tumor DNA Profiling in Patients with Non-Small Cell Lung Cancer Treated with EGFR Inhibitor

description: <b><i>Objectives:</i></b> During targeted therapy, tumor heterogeneity can drive the evolution of multiple tumor subclones harboring unique resistance mechanisms. Sequential profiling of plasma cell-free DNA (cfDNA) provides a noninvasive method for early detection of patient progression. We investigated whether the genetic dynamics detected in cfDNA during treatment can act as a predictive or prognostic marker of outcome. <b><i>Methods:</i></b> Patients with advanced <i>EGFR</i>-mutated non-small cell lung cancer (NSCLC) were included for consecutive blood sampling during EGFR-tyrosine kinase inhibitor (TKI) treatment. Blood samples were serially collected from patients at baseline, first follow-up, and progression. Extracted cfDNA was analyzed with next-generation sequencing. <b><i>Results:</i></b> Serial plasma samples (<i>n</i> = 187) from 63 patients were analyzed, and 44 patients showed circulating tumor DNA (ctDNA). <i>EGFR</i> mutations were detected in 36 of the 44 patients at baseline (81.8%). <i>EGFR</i> mutations were no longer detected in 19 of 36 shedders (52.8%) at 2 months after EGFR-TKI treatment and rebounded with resistant <i>EGFR</i> mutations (T790M or C797S) at progression. Other driver mutations such as <i>KRAS</i> G12D and <i>BRAF</i> V600E were found at baseline regardless of tissue <i>EGFR</i> status, suggesting tumor heterogeneity. Detection of ctDNA (shedder) at baseline associated with poor overall survival (<i>p</i> = 0.04) compared to nonshedder. Furthermore, in patients showing <i>EGFR</i> mutations in plasma at baseline, the clearing rate of those during the first 8 weeks of treatment served as a positive predictor for clinical outcome. <b><i>Conclusion:</i></b> Longitudinal liquid biopsies capture spatial and temporal heterogeneity underlining resistance to EGFR-TKIs in NSCLC. Thus, ctDNA monitoring during EGFR-TKI treatment is useful for detecting resistance mutations or predicting response. Dense serial monitoring using blood enables early prediction of treatment failure and provides a window of opportunity for well-timed intervention.
DOI: 10.6084/m9.figshare.22220494.v3
title: User evaluation

description: This is data for the user evaluation
DOI: 10.6084/m9.figshare.29046476.v1
title: supplementary materials

description: This dataset contains supplementary materials for the manuscript <i>'Ensemble-learning landslide susceptibility mapping considering climate and seismic factors along the China-Pakistan Economic Corridor.'</i> Includes: (1) multicollinearity analysis (VIF scores) of rainfall indices, (2) variable importance rankings for machine learning models, (3) landslide susceptibility percentages, and (4) landslide density calculations. Data derived from climate and seismic datasets along the CPEC (1970–2020).<br>
DOI: 10.6084/m9.figshare.1217528.v1
title: Little Effort, Little Reward: The surprising role of semantic ambiguity in humor elicitation

description: Data from Participants 10-14
DOI: 10.6084/m9.figshare.14904258.v1
title: data_couple stress.xlsx

description: Data is provided to the topology optimization related to size effect.
DOI: 10.6084/m9.figshare.978485.v11
title: fishlabel data, R script and sampling protocols

description: This file set contains both the data file and the R script to analyse them, from : Bénard-Capelle J, Guillonneau V, Nouvian C, Fournier N, Le Loët K, Dettai A. (2015) Fish mislabelling in France: substitution rates and retail types. PeerJ 2:e714 http://dx.doi.org/10.7717/peerj.714 After first reviews, we added the sampling instructions we gave to the collectors in their original (french) version and translated in English.
DOI: 10.17632/mc49zmg7n7
title: Time series from PBO and UNR used in Bartlow (2020)

description: MATLAB .mat files containing input data (processed daily position time series from PBO and UNR) for Bartlow (2020), along with the inversion results from that study (shown in Figure 3A). Codes used to produce the results can be found at https://github.com/noelbartlow/Long-Term-Cascadia-ETS-velocities. Paper can be found at https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019GL085303 results_for_paper.mat includes the long-term ETS slip rate (variable slip_rate) on a mesh with nodes given by variables nd (local coordinates) or nd_ll (lat/long coordinates) and elements in variable el. To plot the results use &gt;&gt; figure; trisurf(el, nd_ll(:, 1), nd_ll(:, 2), nd_ll(:, 3), slip_rate). Also included in this file are the long-term ETS velocities are each station (Nv_SSE, Ev_SSE, Uv_SSE) and their uncertainties (variables beginning with sig). Strike and rake refer to each subfault; slip directions were fixed in the inversion. Pole gives the Euler pole used to define slip directions.
DOI: 10.17632/zgws4ghzd2
title: Numerical modeling of exciton–polariton Bose–Einstein condensate in a microcavity

description: Abstract A novel, optimized numerical method of modeling of an exciton–polariton superfluid in a semiconductor microcavity was proposed. Exciton–polaritons are spin-carrying quasiparticles formed from photons strongly coupled to excitons. They possess unique properties, interesting from the point of view of fundamental research as well as numerous potential applications. However, their numerical modeling is challenging due to the structure of nonlinear differential equations describing their evolution... Title of program: EPCGP Catalogue Id: AFBQ_v1_0 Nature of problem An exciton-polariton superfluid is a novel, interesting physical system allowing investigation of high temperature Bose-Einstein condensation of exciton-polaritons-quasiparticles carrying spin. They have brought a lot of attention due to their unique properties and potential applications in polariton-based optoelectronic integrated circuits. This is an out-of-equilibrium quantum system confined within a semiconductor microcavity. It is described by a set of nonlinear differential equations simil ... Versions of this program held in the CPC repository in Mendeley Data AFBQ_v1_0; EPCGP; 10.1016/j.cpc.2017.02.021 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.14883240.v1
title: GVC_Dataset_Share.sav

description: This is the primary source of dataset collected through survey
DOI: 10.6084/m9.figshare.22056473.v2
title: Differential feeding responses in two species of nectivorous ants: understanding bait palatability preferences of Argentine ants

description: Row Data accompanying the manuscript. “Differential feeding responses in two species of nectivorous ants: understanding bait palatability preferences of Argentine ants”
DOI: 10.6084/m9.figshare.25907401.v2
title: Green exposure and sentiment analysis dataset

description: A logistic regression model was used to analyze sentiment in tweets, and the effects of GE and urban daily maximum temperature on individual sentiment in summer were described.
DOI: 10.17632/93jhw8bgh4
title: A Data on Banking Companies Listed on the IDX for the Period 2020-2022

description: This data was collected by annual report of Indonesian banking companies listed on the Indonesia Stock Exchange (IDX) during the 2020-2022 periods. The sample for this study was drawn from a population of 135 annual reports in the banking industry by the technique of random sampling. The sample for this data is 87 annual reports which equal to 45 companies. From this dataset, the Influence of Enterprise Risk Management, Profitability, Leverage, and Firm Size on Firm Value are interpreted.
DOI: 10.6084/m9.figshare.1439663.v1
title: Membuat Piramida Penduduk dengan Microsoft Office Excel

description: Memahami komposisi penduduk menurut umur dan jenis kelamin merupakan salah satu aspek yang penting khususnya dalam analisis kependudukan dan umumnya dalam perencanaan pembangunan. Misalnya, potensi pertumbuhan penduduk ke depan dapat diperkirakan melalui pengamatan dari komposisi penduduk menurut umur dan jenis kelamin ini. Perencanaan untuk penyediaan pelayanan pendidikan, pelayanan kesehatan dan kebutuhan-kebutuhan dasar penduduk lainnya juga membutuhkan informasi mengenai komposisi penduduk menurut umur dan jenis kelamin.
DOI: 10.17632/9trdxs83df
title: Ensayo: Relaciones del neuromarketing con la posibilidad de modelación del comportamiento del consumidor respecto a productos agropecuarios

description: Este escrito considera la complejidad que supera la contemplación del precio como el factor más relevante en el proceso de consumo, se exponen también acercamientos a la toma de decisiones desde una perspectiva lógica hasta técnicas heurísticas, como también métodos matemáticos empleados para el desarrollo de modelos (predictivos o para la corroboración de hipótesis). Finalmente expone el estado actual del mercado agropecuario y de commodities frente a las dinámicas del consumidor, junto con los puntos a tener en cuenta para los nuevos modelos del comportamiento del consumidor en el sector agropecuario..
DOI: 10.6084/m9.figshare.19864108.v1
title: Dictionary

description: dictionary
DOI: 10.6084/m9.figshare.23448737.v1
title: Single-cell transcriptome analysis indicates fatty acid metabolism-mediated metastasis and immunosuppression in male breast cancer

description: Male breast cancer (MBC) is a rare but aggressive malignancy with poor outcomes. The cellular states and immunological characteristics of MBC remain unclear. We performed a comparative analysis for transcriptomic data of 111,038 cells from six ER+ MBC and thirteen ER+ female breast cancer (FBC) samples. Single-cell T cell receptor sequencing (scTCR-seq) was also used to explore the difference of T cell clones between MBC and FBC. Results of single-cell RNA sequencing (scRNA-seq), bulk transcriptome, and immunohistochemistry consistently demonstrated that MBC had a significantly lower degree of T cell infiltration than FBC. Regulons controlled by AR and SREBF1, and metastasis-related programs were more active in cancer cells of MBC than FBC. Notably, the activated fatty acid metabolism involved by FASN was related to cancer cell metastasis and low immune infiltration of MBC. Different characteristics of T cell subpopulations between MBC and FBC were identified. T cells in MBC showed activation of p38 MAPK and lipid oxidation pathways, indicating the dysfunctional state. In contrast, T cells in FBC exhibited a higher expression level of cytotoxic markers such as GZMK and KLRB1, and activated pathways mediated by immune-modulatory cytokines. Moreover, we identified the inhibitory interactions between cancer cells and T cells in the MBC microenvironment, such as cell-cell communications mediated by TGF-β, TIGIT, and VSIR. Our study will provide important information for understanding the tumor immunology and metabolism of MBC, and promote the development of effective treatments for MBC.
DOI: 10.6084/m9.figshare.5128129.v1
title: Supplementary Material for: Pioglitazone Identifies a New Target for Aneurysm Treatment: Role of Egr1 in an Experimental Murine Model of Aortic Aneurysm

description: Peroxisome proliferator-activated receptor γ agonists have been shown to inhibit angiotensin II (AngII)-induced experimental abdominal aortic aneurysms. Macrophage infiltration to the vascular wall is an early event in this pathology, and therefore we explored the effects of the peroxisome proliferator-activated receptor γ agonist pioglitazone on AngII-treated macrophages. Using microarray-based expression profiling of phorbol ester-stimulated THP-1 cells, we found that a number of aneurysm-related gene changes effected by AngII were modulated following the addition of pioglitazone. Among those genes, polycystic kidney disease 1 <i>(PKD1)</i> was significantly up-regulated (multiple testing corrected p &lt; 0.05). The analysis of the <i>PKD1</i> proximal promoter revealed a putative early growth response 1 (EGR1) binding site, which was confirmed by chromatin immunoprecipitation (ChIP) and quantitative PCR. Further analysis of publicly available ChIP-sequencing data revealed that this putative binding site overlapped with a conserved EGR1 binding peak present in 5 other cell lines. Quantitative real-time PCR showed that EGR1 suppressed <i>PKD1</i>, while AngII significantly up-regulated <i>PKD1</i>, an effect counteracted by pioglitazone. Conversely, in EGR1 short hairpin RNA lentivirally transduced THP-1 cells, reduced EGR1 led to a significant up-regulation of <i>PKD1</i>, especially after treatment with pioglitazone. In vivo, deficiency of <i>Egr1</i> in the haematopoietic compartment of mice completely abolished the incidence of CaCl<sub>2</sub>-induced aneurysm formation.
DOI: 10.17632/5rkpgdwf5f
title: Data to: Understanding acoustic indices as multi-taxa biodiversity and habitat quality indicators

description: Acoustic monitoring captures the sound of nature, revealing biodiversity patterns and underlying drivers. Acoustic indices are increasingly used to analyse obtained recordings, but studies show inconsistent performance of acoustic indices as biodiversity indicators. Here, we develop a conceptual framework on what acoustic indices reflect, including sound sources as well as their direct and indirect drivers. We evaluate our framework using recordings from six land use types and old growth forest sites in north-eastern Madagascar. We found the highest correlation (adj. R² &gt; 0.51) of Acoustic Diversity Index and Acoustic Entropy with endemic multi-taxa species richness, canopy closure, and vegetation density. The results suggest that including multiple taxa strengthens the association between the indices and species richness, potentially accounting for unobserved vocalising taxa, and that acoustic indices indicate habitat quality, reflecting underlying indirect and direct drivers affecting biodiversity. Yet, some acoustic indices are limited by saturation and their sensitivity is too low to detect small changes in biodiversity (i.e., loss of few species).
DOI: 10.17632/9m2dcb5mmr
title: Indigenous Dataset for Apple Leaf Disease Detection and Classification

description: This dataset, suitable for training Machine Learning and Deep Learning models, has been built by collecting images from the apple cultivation fields of Jammu and Kashmir. The dataset contains 7569 images belonging to three categories viz Healthy, Alternaria and Apple-Mosaic.
DOI: 10.17632/dscww8w8zt
title: Dataset of Cannabis Seeds

description: Machine learning and deep learning techniques have shown very promising results for the classification and object detection problems. Neat and clean dataset is the elementary requirement to build accurate and robust machine learning models for the real-time environment. With this objective we have created an image dataset of Cannabis seeds.  This dataset contains  images of 17 different types of cannabis seeds.
DOI: 10.17632/yj6gmrfmmk
title: Photo Intervention JAAD Supplementary Materials

description: Supplementary materials for a research letter entitled "Impact of a Photo Intervention on Sun Safety Attitudes," submitted to JAAD International
DOI: 10.6084/m9.figshare.24843705.v1
title: APSIM-simulated wheat genotypes corresponding to the paper 'Bustos-Korts, D. et al 2019. “From QTLs to Adaptation Landscapes: Using Genotype-To-Phenotype Models to Characterize G×E Over Time.” Frontiers in Plant Science 10: 1–23. https://doi.org/10.3389/fpls.2019.01540.'

description: Data that was used to simulate APSIM-wheat phenotypes of 199 genotypes in 4 Australian locations (Emerald, Merredin, Narrabri, Yanco) during 31 years.The following files are contained in this data set:<b>genoAus199</b><b>.csv </b>contains 4002 SNPs that describe the genetic variation of 199 wheat genotypes <b>mapAus199</b><b>.csv</b> contains the genetic map corresponding to the 4002 SNPs<b>Parameters_D1</b><b>.csv</b> contains the APSIM parameters for each genotype that were used to run the simulations<b>SimulatedData124Envs_Biomass.txt</b> contains the daily phenotypes for each genotype in each of the environments<b>Cov_windows_wide_sowing15May</b><b>.tx</b>t contains environmental covariables. The covariables were calculated for four periods: p1 From emergence to flowering – 300 oCdp2 From flowering – 300 to flowering + 100p3 From flowering + 100 to flowering + 600p4 From flowering + 600 to maturity <br><br>
DOI: 10.6084/m9.figshare.25151693.v1
title: Drosophila_yakuba_mayottensis_rmaverick_MAF20

description: rmaverick population genetic structure analysis of Drosophila yakuba yakuba and D. y. mayottensis populations.
DOI: 10.6084/m9.figshare.25897024.v1
title: Presence and absence of records of dengue cases, yellow fever cases, and vector occurrences on a worldwide 7,774-km² hexagonal grid

description: Dataset containing the presence and absence of records of dengue cases, of yellow fever cases, and of vector occurrences, on a worldwide spatial grid of 7,774-km2 hexagons (https://zenodo.org/records/10028166), together with the sources for this information. These data were used to produce models of global dengue and yellow fever transmission risk (https://www.nature.com/articles/s42003-022-03492-9 and https://doi.org/10.1371/journal.pntd.0009496) that, in “Climate change is aggravating dengue and yellow fever transmission risk”, are projected to future climate change scenarios.The dataset is composed of three Excel files in which all the information related to the worldwide distribution of records of dengue cases, yellow fever cases and vectors, at the hexagon level, has been compiled: 1) dengue records and sources (records_and_sources_dengue.xls), 2) yellow fever records and sources (records_and_sources_yellow_fever.xls), and 3) vector records and sources (records_and_sources_vectors.xls).In each of the Excel files we found: the field identifier of each hexagon (‘HEX10_ID’), the geographical coordinates of the centroids of the hexagons (‘Latitude’ and ‘Longitude’), the presence and absence of disease records and of vector occurrences (‘Dengue’, ‘Yellow_Fever’, ‘<i>Aedes_aegypti’</i>, ‘<i>Aedes_albopictus’</i>, ‘<i>Aedes_vittatus’</i>, ‘<i>Aedes_africanus’</i>, ‘<i>Aedes_luteocephalus’</i>, ‘<i>Aedes_niveus’</i>, ‘<i>Sabethes_chloropterus’</i>, ‘<i>Haemagogus_janthinomys’</i>, ‘<i>Haemagogus_leucocelaenus’</i>), and the sources of this information represented by the source title (‘Title’) and by a web link (‘Source’).
DOI: 10.6084/m9.figshare.27627186.v1
title: Dataset of<i> </i><i>Application of continuity of care based on hierarchical management mode in the rehabilitation of cirrhosis patients</i>

description: Exploring the effect of continuity of care based on hierarchical management mode on rehabilitation and quality of life in cirrhosis patients.
DOI: 10.6084/m9.figshare.28256180.v1
title: Laves Phases

description: SISSO-DT model to predict Laves Phases
DOI: 10.17632/7zhjkdxznb
title: Data for Oceanic euxinia and seafloor oxygenation linked to continental weathering and influxes during the Late Devonian Frasnian–Famennian bio-crisis and Annulata bio-event

description: the dataset is used to test the hypotheses that the oceanic euxinia was contributed by land input of nutrients and seafloor was likely oxygenated by hyperpycnal flows, in the Late Devonian Seaway, during the F-F bio-crisis. It also proves that the watermass of the seaway became weakly restricted after the F-F bio-crisis and the seafloor redox shifted from relative oxygenation to silled euxinia. Under such hydrographic and seafloor redox backgrounds, the dataset proves that the silled euxinia was enhanced by continental input during the Annulata bio-event.
DOI: 10.17632/dg2y7z92y6
title: Twitter trend #SindhRejectsForcedConversions and other photos/clips

description: Twitter trend #SindhRejectsForcedConversions and other files