cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8408572
title: DockGame: Cooperative Games for Multimeric Rigid Protein Docking

description: Raw datasets used for DB5.5 dataset and DIPS dataset used in DockGame, with associated code at https://github.com/vsomnath/dockgame These datasets can also be downloaded from https://zlab.umassmed.edu/benchmark (DB5.5) and https://www.dropbox.com/s/sqknqofy58nlosh/DIPS.zip?dl=0 (DIPS). Note that our organization would be slightly different from these downloaded versions. We follow EquiDock (https://github.com/octavian-ganea/equidock_public) for the DB5 dataset splits. <strong>Paper Abstract</strong> Protein interactions and assembly formation are fundamental to most biological processes. Predicting the assembly structure from constituent proteins -- referred to as the protein docking task -- is thus a crucial step in protein design applications. Most traditional and deep learning methods for docking have focused mainly on binary docking, following either a search-based, regression-based, or generative modeling paradigm. In this paper, we focus on the less-studied multimeric (i.e., two or more proteins) docking problem. We introduce DockGame, a novel game-theoretic framework for docking -- we view protein docking as a cooperative game between proteins, where the final assembly structure(s) constitute stable equilibria w.r.t. the underlying game potential. Since we do not have access to the true potential, we consider two approaches - i) learning a surrogate game potential guided by physics-based energy functions and computing equilibria by simultaneous gradient updates, and ii) sampling from the Gibbs distribution of the true potential by learning a diffusion generative model over the action spaces (rotations and translations) of all proteins. Empirically, on the Docking Benchmark 5.5 (DB5.5) dataset, DockGame has much faster runtimes than traditional docking methods, can generate multiple plausible assembly structures, and achieves comparable performance to existing binary docking baselines, despite solving the harder task of coordinating multiple protein chains.
DOI: 10.17632/9c6s25p3jj.1
title: Interpreting regional characteristics of Tibetan-Qiang residential houses in Northwestern Sichuan by Deep learning and Image landscape

description: Image downloading Python codes with sample csv; Dataset of Image category model (ICM); Dataset of Construction category model (CCM); Dataset of Element segmentation model (ESM); Dataset of Style category model (SCM)
DOI: 10.17632/n666jb2zhp.1
title: Solid-to-Liquid Phase Transition in the Dissolution of Cytosolic Misfolded-Protein Aggregates

description: Data deposited that supports the manuscript
DOI: 10.17632/y3vtw53983.1
title: Time-Resolved Map of Serum Metabolome Profiling in D-galactose-Induced Aging Rats with Exercise Intervention

description: The original data about the paper titled "Time-Resolved Map of Serum Metabolome Profiling in D-galactose-Induced Aging Rats with Exercise Intervention".
DOI: 10.17632/h9n24zrdvj.1
title: Manipulating the 3D organization of the largest synthetic yeast chromosome

description: Whether synthetic genomes can power life has attracted broad interest in the synthetic biology field. Here we report de novo synthesis of the largest eukaryotic chromosome thus far, synIV, a 1,454,621-bp yeast chromosome resulting from extensive genome streamlining and modification. We developed megachunk-assembly combined with a hierarchical integration strategy, which significantly increased the accuracy and flexibility of synthetic chromosome construction. Besides the drastic sequence changes, we further manipulated the 3D structure of it to explore spatial gene regulation. Surprisingly, we found few gene expression changes, suggesting that positioning inside the yeast nucleoplasm plays a minor role in gene regulation. Lastly, we tethered synIV to the inner nuclear membrane via its hundreds of loxPsym sites and observed transcriptional repression of the entire chromosome, demonstrating chromosome-wide transcription manipulation without changing the DNA sequences. Our manipulation of the spatial structure of synIV shed light on higher-order architectural design of the synthetic genomes.
DOI: 10.17632/784k9f6gvw.1
title: Granitic melt segregation from complementary cumulate driven by mafic magma underplating

description: This file includes Supplementary Tables S1 to S8 for the publication "Granitic melt segregation from complementary cumulate driven by mafic magma underplating" (submitted to Journal of Geophysical Research: Solid Earth in October 2023).
DOI: 10.17632/t4cbzmdt56.1
title: Pre-Existing Inflammatory Disease Predicts Cutaneous Immunotherapy Toxicity Development: A Multi-Institutional Cohort Study

description: Supplemental methods, figures, and tables.
DOI: 10.17632/7y3kwvy5wr.1
title: Replication package for "Global Impacts of US Monetary Policy Uncertainty Shocks" by Povilas Lastauskas and Anh Dinh Minh Nguyen.

description: Replication package for the paper "Global Impacts of US Monetary Policy Uncertainty Shocks" by Povilas Lastauskas and Anh Dinh Minh Nguyen.
DOI: 10.17632/c93jrxppyb.1
title: DADOS-NDVI-NBR-PANTANAL

description: DADOS LEVANTADOS PARA REALIZAÇÃO DAS ANÁLISES.
DOI: 10.17632/nrdmwdh633.1
title: cortical_myelin_segmentation

description: The Matlab routines allow to segment heavily and sparsely myelinated cortical layers from high-resolution (0.8 mm isotropic and higher) MP2rage images.. In short, the intensities of the MP2rage sequence outputs images are re-scaled and a UNI/T1map ratio image (RATIO) and INV1/INV2 (INVC) image calculated. The cortical rim and adjacent CSF and white matter are isolated and k-means clustering used to identify 6 intensity clusters corresponding to a white matter and csf cluster, two partial volume clusters and a sparsely and highly myelinated rim clusters. Please see Word document for detailed step-by-step instructions. Contact of author Susanne Mueller M.D. Center for Imaging of Neurodegenerative Diseases VAMC San Francisco 4150 Clement Street San Francisco, CA, 94121 USA USA e-mail: susanne.mueller@ucsf.edu You need to have Matlab with the Image Processing, Statistics, Curve Fitting, and Optimization toolboxes and spm12 (https://www.fil.ion.ucl.ac.uk/spm/) Make sure you have the cortex_2_layer directory in your Matlab search path. The Matlab routines are not for commercial use. Disclaimer: Use of the Matlab routines at your own risk.
DOI: 10.17632/rh7sgj677w.1
title: Education in Albania under the Italian occupation

description: Facsimiles and photos for article: Education in Albania under the Italian occupation Article published by Journal: International Journal of Educational Development, 2023, Elsevier: https://doi.org/10.1016/j.ijedudev.2023.102896
DOI: 10.17632/h2wd5rfnmh.1
title: Dataset for investigating the economic behavior of students in Indonesia

description: The data consists of measurement of family economic education, economic behavior, economic literacy, entrepreneurial literacy, digital literacy, and lecturer competencies
DOI: 10.17632/h2wd5rfnmh.2
title: Dataset for investigating the economic behavior of students in Indonesia

description: The data consists of measurement of family economic education, economic behavior, economic literacy, entrepreneurial literacy, digital literacy, and lecturer competencies
DOI: 10.17632/h2wd5rfnmh.3
title: Dataset for investigating the economic behavior of students in Indonesia

description: The data consists of measurement of family economic education, economic behavior, economic literacy, entrepreneurial literacy, digital literacy, and lecturer competencies
DOI: 10.17632/h2wd5rfnmh.4
title: Dataset for investigating the economic behavior of students in Indonesia

description: The data consists of measurement of family economic education, economic behavior, economic literacy, entrepreneurial literacy, digital literacy, and lecturer competencies
DOI: 10.17632/469nvg5f3s.1
title: Family planning practices: Examining the link between contraception and child health

description: Child malnutrition is a significant public health concern in several developing countries. Evidence suggests that family size and children's health outcomes are correlated. We utilize data from the National Family Health Survey (NFHS-5) for India and employ an Instrumental Variable approach to examine the impact of limiting fertility through the use of contraceptives on child health. This is an online repository of all the necessary codes and datasets required to replicate the results in the paper "Family planning practices: Examining the link between contraception and child health". The data is publicly available and accessible from https://dhsprogram.com/data/. We provide detailed instructions on the steps to access the data and to replicate all the tables and figures in the paper.
DOI: 10.17632/kdtzvcxbxh.1
title: Evaluation of Silymarin as a nephroprotective agent in Gentamicin induced kidney disease in Zebra fish

description: The research work undertaken includes detailed knowledge related to nephroprotective activity of Silymarin in kidney disease by inducing the same in zebra fish.
DOI: 10.17632/zzwg3nnhsz.1
title: Algerian Dialect

description: These datasets have been gathered using the YouTube API. These comments are sorted by relevance from more than 30 Algerian press channels. The dataset consists of 45,000 annotated comments, with five class sentiments, namely very negative (0), negative (1), neutral (2), positive (3), and very positive (4). Here's the columns description: Column 1: comments Column 2: label (from 0 to 4) Column 3: collection date Column 4: like count Column 5: video URL from which the comment has been extracted Column 6: annotation datetime
DOI: 10.17632/zzwg3nnhsz.2
title: Algerian Dialect

description: These datasets have been gathered using the YouTube API. These comments are sorted by relevance from more than 30 Algerian press channels. The dataset consists of 45,000 annotated comments, with five class sentiments, namely very negative (0), negative (1), neutral (2), positive (3), and very positive (4). Here's the columns description: Column 1: comments Column 2: label (from 0 to 4) Column 3: collection date Column 4: like count Column 5: video URL from which the comment has been extracted Column 6: annotation datetime
DOI: 10.17632/fkyw9v8yj2.1
title: Factors affecting self-esteem among Jordanians

description: Factors affecting self esteem in Jordan
DOI: 10.17632/rvhcy63ssd.1
title: Parents' Adoption Towards Using Assistive Technology for Children with ASD

description: parents' acceptance of using assistive technology for children with autism
DOI: 10.17632/nfzwfhw4k4.1
title: Influential Factors on Self-Esteem Among Jordanians

description: This dataset demonstrates factors affecting self-esteem among Jordanian
DOI: 10.17632/89j7snbm2r.1
title: Arabidopsis_Ribo_seq_ORFeome

description: This dataset includes files from a Ribosome profiling study for ORF discovery in Arabidopsis. The associated code files: https://github.com/hsinyenwu/ORFeome abundance.txt is the Kallisto quantification with the max 2 isoforms
DOI: 10.17632/7b4h5fwn5r.1
title: caregivers' acceptance and attitudes toward using assistive technology for people with stroke in Jordan

description: caregivers' Acceptance and attitudes toward using assistive technology for People with stroke in Jordan
DOI: 10.17632/7t5bhd9rk4.1
title: Through a Hazy Lens: Financial Distress to Firm Value Effect being Obscured

description: The research hypothesis examines the relationship between financial distress, earnings management policies, the potential for financial reporting fraud, and their combined impact on a company's value. I posited that companies experiencing financial distress are more likely to employ earnings management strategies and potentially engage in financial reporting fraud to mask their true financial health, which, in turn, negatively affects their overall value in the market. The data was primarily sourced from Bloomberg and cross-referenced with the Indonesian Stock Exchange (IDX) classification to identify companies in the Cyclical and Non-Cyclical Customer Goods and Services sectors. Initially, there were 259 companies in these sectors, but 147 were excluded due to missing data for the period from 2016 to 2022. The remaining 112 companies were further categorized into those engaged in manufacturing activities and those that were not based on information from the Directories of Indonesian Manufacturing Industry and IDNFinancial. Key financial variables were collected, including Altman's Z-Score, Discretionary Accruals, Beneish's M-Score, and Tobin's Q ratio for the years 2017 to 2022. Altman's Z-Score and its Distress determinants were calculated differently for manufacturing and non-manufacturing companies. Discretionary Accruals were estimated using the Modified Jones Model based on Costa and Soares (2021). Outliers were identified and removed using statistical methods such as Leverage tests, Studentized Residual analysis, and Cook's Distance assessment. This process led to the elimination of 8 companies from the dataset. The findings from this study generally support previous research on the negative impact of financial distress on a company's value. Meanwhile, the hypothesis regarding the relationship between financial distress and earnings management policies aligns with prior research, albeit at a lower level of confidence than commonly used, suggesting that companies experiencing financial distress tend to implement income-decreasing earnings management policies. Another hypothesis addressing the link between financial distress and the potential for financial reporting fraud yields inconclusive results due to a lack of statistical significance. However, it provides a new perspective to complement previous research. Surprisingly, the study found that companies not indicating financial distress may be associated with a potential for financial reporting fraud. This is because financial reporting fraud has the potential to obscure the distress conditions experienced by the company. These findings shed light on the complexities of financial distress, earnings management, and the potential for fraud in financial reporting, suggesting that these relationships are nuanced and may vary in different contexts. Further research and analysis are needed to better understand the underlying mechanisms and implications for stakeholders and investors.
DOI: 10.17632/7tkchgf4nt.1
title: The Hindu. Rape news (2010,2015,2020). Trivandrum Edition

description: The data includes details about news articles related to rape published by The Hindu ,Trivandrum edition in the years 2010, 2015, and 2020. It shows details such as headlines and page numbers
DOI: 10.17632/ymd53g9b7d.1
title: Data for: High arsenic pollution of the eutrophic Lake Taihu and its relationship with iron, manganese, and dissolved organic matter: high-resolution synchronous analysis

description: Raw data for all figures and table in the manuscript entitled "High arsenic pollution of the eutrophic Lake Taihu and its relationship with iron, manganese, and dissolved organic matter: high-resolution synchronous analysis".
DOI: 10.17632/nfwwyzv5wy.1
title: Supplemental tables

description: Supplemental tables for "Efficacy of platelet-rich plasma treatment for androgenic alopecia is affected by Plasma Growth Factors."
DOI: 10.17632/ydrfcrdr4z.10
title: Determination of chlorophyll components and other bioactive compounds from New Green honey Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.11
title: Determination of chlorophyll components and other bioactive compounds from New Green honey Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey. The compound names, mass-to-charge values, Species, retention times, and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.7
title: Determination of chlorophyll components and other bioactive compounds from New Green honey. Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.8
title: Determination of chlorophyll components and other bioactive compounds from New Green honey. Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.9
title: Determination of chlorophyll components and other bioactive compounds from New Green honey Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.1
title: Determination of chlorophyll components and other bioactive compounds from New Green honey. Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.2
title: Determination of chlorophyll components and other bioactive compounds from New Green honey. Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.3
title: Determination of chlorophyll components and other bioactive compounds from New Green honey. Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.4
title: Determination of chlorophyll components and other bioactive compounds from New Green honey. Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.5
title: Determination of chlorophyll components and other bioactive compounds from New Green honey. Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/ydrfcrdr4z.6
title: Determination of chlorophyll components and other bioactive compounds from New Green honey. Screened by LC-MS/MS-QTOF

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey.  The compound names, mass-to-charge values, Species, retention times,  and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/p9p8xwm3x4.1
title: (Dataset) Accessible Platforms for Health

description: Contains the literature review data for the Accessible Platforms for Health scoping review.
DOI: 10.17632/zkndmtgxmr.1
title: A study of Minichromosome maintenance 4 deficiency leads to tubular epithelial cells injury by regulating 53BP1-mediated p53/p21 signaling in acute kidney injury. Huang et al.

description: The original, unprocessed data of western blot gels.
DOI: 10.17632/wn3tj2v5j7.1
title: Screening antimicrobial peptides and probiotics using multiple deep learning and directed evolution strategies

description: The raw data contains the antibacterial activity test, peptide screening, peptide purification, PANCE for SrtA, structure prediction and whole genome sequencing.
DOI: 10.17632/mmjph5fj2m.1
title: Epidural analgesia use during labour in maternity hospitals across China: A prospective case-control questionnaire survey.

description: Row data of a case-control questionnaire survey.