cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4123074.v1
title: Supplementary Material for: Hsp27 Acts as a Master Molecular Chaperone and Plays an Essential Role in Hepatocellular Carcinoma Progression

description: <strong><em>Aims:</em></strong> Hsp27, a master molecular chaperone, plays an important role in cancer. However, the specific co-chaperones that partner with Hsp27 and the role of Hsp27 in hepatocellular carcinoma (HCC) are not fully enumerated. The present study focuses on the role of Hsp27 in HCC and explores its potential co-chaperones in HCC development. <b><i>Methods:</i></b> Gene overexpression or knockdown was used to observe the role of Hsp27 in HCC. Co-immunoprecipitation and mass spectrometry were used to explore apoptosis resistance by regulating multiple co-chaperones of Hsp27. Hsp27 protein-protein interaction (PPI) networks were constructed by the MetaCore software. <b><i>Results:</i></b> Hsp27 was upregulated in HCC tissues, and Hsp27 overexpression significantly facilitated formation of HCC cell colony and invasion in normoxia and tolerance in hypoxia by interacting with HIF-1α. Next, the analysis of microarrays revealed that Hsp27 regulated several cellular signaling pathways, including Wnt, ErbB and TGF-β signaling. Moreover, we characterized the Hsp27 PPI map, which indicated that Hsp27 along with its co-chaperones formed different complexes and exerts transcription regulation activity by activating sp1, c-Myc, p53 and ESR1. <b><i>Conclusions:</i></b> Hsp27 along with its co-chaperones was related to the development of HCC by regulating multiple signaling pathways, and drugs that target Hsp27 along with its co-chaperones may be a potential therapy for HCC.<br>
DOI: 10.6084/m9.figshare.7045640.v1
title: “TO EACH ONE WHAT SEEMS BEST TO HER/HIM”: DEBATE AND CONTROVERSY AROUND THE PARAMETRIC SOCIOLINGUISTICS IN THE HISTORY OF BRAZILIAN LINGUISTICS

description: ABSTRACT This article analyzes a debate in the Brazilian linguistics of the 1980s, when Fernando Tarallo, José Borges Neto and Ana Lúcia de Paula Müller differed on a parametric sociolinguistics. In the perspective of a study of the Historiography of Linguistics and based on a socio-rhetorical framework of analysis, which defines theoretical and methodological guidelines of this proposal, the text presents (i) considerations about what is understood in this interpretation as rhetoric and (ii) a historiographic analysis of the debate. This analytical view considers for its interpretative perspective discursive elements of the discourses adopted in the debate (that is, the rhetoric assumed by the linguists), and also elements of a social nature, which can circumscribe the discourses in specific groups of researchers (theory groups) in language science in Brazil. It is pointed out that the debate in question, several times referenced when it comes to a history of Brazilian linguistics, maintained its polemical nature, evidencing that the rhetoric of linguists, when assumed by the historiographic view, must be understood from of its social and historical inscription.
DOI: 10.17632/ksgpjbfb4j
title: Replication data for Populism and Ideological Convergence: Evidence from a Multiparty System

description: Replication package for Tähtinen: "Populism and Ideological Convergence: Evidence from a Multiparty System"
DOI: 10.6084/m9.figshare.22140587.v1
title: Functional urban areas in Europe OECD countries urban growth python geodataframe

description: Functional urban areas (FUAs) in Europe OECD countries urban growth - a Python Geodataframe in Python pickle format with name countries_gpd.pkl
DOI: 10.6084/m9.figshare.28544987.v1
title: Optimal Testing Termination (OTT) model

description: This case study explores a new model, the Optimal Testing Termination model (OTT), to determine the right time to stop testing activities in the Software development lifecycle. The model uses real-time test data collected to verify a Salesforce Lead Enhancement project and assesses the results of the test execution using the model formula. The OTT model remediates the fallbacks from previous studies by eliminating predictive parameters and only using the real-time data available from test execution results. The model provides a fundamental method to help IT organizations assess and decide on the need for further testing when the time to market is a priority.<br>The project includes the following files used to evaluate the OTT Model and a flow diagram used to depict the OTT model.<br>Salesforce Lead Enhancement project requirements - Case Study - Lead Creation User StoriesTest Cases - Case Study - Test CasesTest Cycle 1 execution results - Case Study - Test Cycle 1Test Cycle 2 execution results - Case Study - Test Cycle 2Test Cycle 3 execution results - Case Study - Test Cycle 3Test execution summary and model evaluation worksheet - Case Study - Test Execution Summary
DOI: 10.17632/jxwsp9ng5c
title: Datasets for Drone Routing Problem

description: This dataset is set for paper "A learning based algorithm for drone routing"
DOI: 10.17632/rprf4c6fxm
title: Data for: Filling the Daly gap: Intermediate rocks in the Comei large igneous provinces produced by amphibole crystallization of tholeiitic basaltic magma

description: The raw data of the Chigu Tso intrusive suite in the Comei LIP, SE Tibet
DOI: 10.6084/m9.figshare.19767652.v3
title: Codes for Arctic Ocean Amplification

description: The codes used in the main data processing and visualization in paper entitled "Arctic Ocean Amplification in a warming climate in CMIP6 models" by Shu et al. (2022)
DOI: 10.6084/m9.figshare.2068203.v1
title: Monitoring of Heart and Breathing Rates using Dual Cameras on a Smartphone

description: This data correspond to a manuscript of Plos One (ID: PONE-D-15-39290).Data were collected from N=11 healthy non-smokers (2 females and 9 males) between 20 and 40 years old, who were dressed in striped, spotted, or plain clothes. All subjects were instructed to breathe at a metronome rate according to a timed beeping sound programmed at a chosen frequency. The metronome breathing rate was done to test wide dynamics range of breathing rates. Each subject was asked to inhale with each beep sound followed by exhalation before the next beep sound occurred. The data were collected for breathing frequencies ranging from 0.1 to 0.5 Hz at increments of 0.1 Hz, 1 Hz, and spontaneous breathing. Prior to data collection, all subjects were acclimated to different metronome breathing rates. Two minutes of ECG, chest and abdominal movements from the front camera, and finger pulse signals from the rear camera data, were collected for each breathing maneuver, for each subject.
DOI: 10.6084/m9.figshare.22292650.v1
title: TCGA data

description: We characterized the immune context in HPV+ and HPV− HNSCC by integrating scRNA-seq and bulk RNA-seq data.
DOI: 10.6084/m9.figshare.22650178.v1
title: Tropical Asia plants of the world online data

description: Data from powo used to assigned genera to families in the ms.
DOI: 10.6084/m9.figshare.7042676.v1
title: Enumerations - Supplementary Data

description: This data accompanies the book, Enumerations: Data and Literary Study (Chicago 2018). All code and other data can be found at https://github.com/piperandrew.
DOI: 10.17632/brzj8n5r4t
title: Predictors of drug survival of biologics in hidradenitis suppurativa: A systematic review and meta-analysis

description: Supplementary Materials for 'Predictors of drug survival of biologics in hidradenitis suppurativa: A systematic review and meta-analysis' by Rayner et al., published in the Journal of the American Academy of Dermatology (2025).
DOI: 10.6084/m9.figshare.23671839.v1
title: Drip lines at finite temperature

description: The dataset contains the nuclear drip lines (limits of nuclear stability) at finite temperatures. Calculations are performed with 7 relativistic energy density functionals including DD-ME2, DD-PC1, DD-PCX, and those constrained to specific symmetry energy at saturation density, DD-PCJ30, DD-PCJ32, DD-PCJ34, and DD-PCJ36. The calculations are performed for temperatures T = 0, 0.5, 1, 1.5, and 2 MeV for all functionals, with additional points T = 0.8, 1.2, and 1.8 for DD-ME2, DD-PC1, and DD-PCX. <br> The data is stored in 44 text (.txt) files corresponding to different functionals and temperatures. The name of each data file consists of two parts: (i) the functional used for calculation, and (ii) temperature. For instance, the file "DDME2_T15.txt" corresponds to calculations with DD-ME2 functional at T = 1.5 MeV (we removed the decimal point from the temperature to avoid confusion with the data format). The data consists of 4 columns, where the first column is the temperature (T) in MeV, the second is the proton number (Z), the third neutron number for the isotope at the proton drip line, and the fourth neutron number of the isotope at the neutron drip line. This information is written in the header of each file as: <br> # Temp [MeV] Z(proton number) N(proton drip neutron number) N(neutron drip neutron number) <br> Using the provided information one can easily plot the drip lines as a function of temperature for different functionals.
DOI: 10.6084/m9.figshare.28359224.v1
title: Table_S1_Geochemical dataset.xlsx

description: Earth's first atmospheric oxygen rise between 2.43-2.1 billion years ago enabled complex life, but geochemical evidence shows earlier oceanic oxygen oases. New data from a 2.93-billion-year-old Canadian drill core reveal early surface water oxygen accumulation, predating atmospheric oxygen by 500 million years. Pulsed increases in oceanic phosphorus bioavailability, driven by anoxic recycling, likely boosted photosynthesis and organic carbon burial, influencing these early oxygen oases.
DOI: 10.17632/4pgk3s3dv5
title: AutMorGra: Simple Un-directed Graphs With Automorphic Mappings

description: The dataset presents simple un-directed graphs of 4 nodes through 75 nodes with automorphic mappings. For each number of nodes, there are 10 different degree sequences.
DOI: 10.17632/rn8t4mmvyd
title: PolyWeight: A free and open-source program for determination of molecular weight distribution of linear polymers

description: This paper introduces PolyWeight, a Python software featuring a user-friendly graphical user interface (GUI), which offers two distinct approaches for MWD determination: an analytical relation-based method and a parametric model-based method. By utilizing dynamic moduli, users can calculate MWD as well as molecular weight averages such as M_n, M_w, and M_z. The functionality of PolyWeight is validated using synthetic data and real data obtained from the literature, exhibiting good agreement. Log files and datasets used in this work are available on GitHub.
DOI: 10.6084/m9.figshare.14254106.v1
title: Questionnaire for High School Student Environmental Awareness Profiles

description: The High School Student Environmental Awareness Profile Questionnaire consists of 42 questions on a Likert scale (1,2,3,4,5) and is equipped with open answers to several questions. The questions are in the form of social issues developing in society.
DOI: 10.6084/m9.figshare.26073748.v1
title: Aquatic Vegetation and Fish Data.xlsx

description: Fish usage of aquatic vegetation
DOI: 10.6084/m9.figshare.28596839.v1
title: Dataset for "<b>Reasoning Language Model as Rule Finder: A Case Study on Iron-Catalyzed C–H Bond Activation using 2D Metal-Organic Frameworks</b>"

description: Unraveling structure-activity relationship in catalysis requires interpretable models that can extract governing principles from complex datasets. In this study, we investigate the role of reasoning large language models (LLMs) as rule finders in predicting the outcomes of C(sp<sup>3</sup>)–H bond activation. The reaction was catalyzed using two-dimensional metal-organic frameworks (MOFs) with Fe centers anchored on terpyridine ligands. Surface modifications with molecular additives systematically modulate the catalytic microenvironment, influencing reaction selectivity and efficiency. However, finding the relationship between the modifier structure and activity is a challenge. While traditional descriptors offer high predictive accuracy, LLM-derived rules provide interpretable insights tailored to the dataset. By integrating LLM reasoning with experimental features such as Fe-loading and modifier ratios, we identify dominant factors governing catalytic performance. This study highlights the potential of LLMs as tools for deriving chemically meaningful rules, bridging data-driven predictions with mechanistic understanding in catalyst design. This dataset only includes the experimental data of this paper. All the codes and conversions of LLMs are stored at https://github.com/Wang-Group/Reasoning-Language-Model-as-Rule-Finder
DOI: 10.6084/m9.figshare.3156532.v1
title: csv files

description: the comma separated value file, including raw data and formatted data to run the models
DOI: 10.17632/3tvr6bf85f
title: Strategies for reducing chemical fertilizer application to enhance soil fertility and tea quality in the core Pu’er tea production area of China

description: tea data
DOI: 10.17632/vksfkmphzs
title: Thermal Mango Image Dataset - FLIR One

description: FLIR One is explored to measure the maturity of mango. Dataset is useful for object counting and color feature extraction method experiments. For more details, contact +91 9586113399.
DOI: 10.6084/m9.figshare.12966971.v4
title: Orthogroup functional annotations and effector candidates

description: Functional annotations of all predicted proteins in a <i>Parastagonospora nodorum</i> pangenome.<br>Orthogroups were predicted using ProteinOrtho, each gene is annotated with the P. nodorum isolate that it is predicted in and the orthogroup that it belongs to.<br>The column "is_representative" indicates whether the protein was selected as the representative member of the orthogroup. This prefers copies in reference isolates, then copies closest to the average sequence length within the orthogroup.<br>Predicted whole protein functions were found by searching the Swiss-Prot database version 2020_02 (Bairoch & Apweiler, 2000) using MMSeqs2 version 11-e1a1c (--start-sens 3 -s 7.5 --sens-steps 3 -a) (Steinegger & Söding, 2017). Matches were considered reliable for functional annotation if they covered &gt;= 70% of both sequences, with &gt;=60% sequence identity, and an e-value &lt; 1e-10. Functional domains were predicted using InterProScan (P. Jones et al., 2014; Mitchell et al., 2019). Additionally, GO-terms and predicted product names were predicted using the web-servers of PANNZER (Koskinen et al., 2015) and eggNOG-Mapper (Huerta-Cepas et al., 2017). GO-term predictions from InterProScan, PANNZER, and eggNOG-Mapper were combined and filtered to exclude terms in the GO do_not_annotate “anti-slim” set (available at: http://geneontology.org/docs/download-ontology, downloaded: 2020-05-15) to remove uninformative terms, forming the final GO-term set for the predicted proteomes.<br>Effector-like sequences were predicted using the Predector pipeline (https://github.com/ccdmb/predector, version: 0.1.0-alpha) (Submitted), which incorporates several software analyses including SignalP versions 3.0, 4.1g, 5.0b (José Juan Almagro Armenteros et al., 2019; Dyrløv Bendtsen et al., 2004; Petersen et al., 2011), DeepSig (Savojardo et al., 2018), TargetP version 2.0 (Jose Juan Almagro Armenteros et al., 2019), DeepLoc version 1.0 (Almagro Armenteros et al., 2017), TMHMM version 2.0c (Krogh et al., 2001), Phobius version 1.01 (Käll et al., 2004), EffectorP versions 1 and 2 (Sperschneider et al., 2016; Sperschneider, Dodds, Gardiner, et al., 2018), ApoplastP version 1 (Sperschneider, Dodds, Singh, et al., 2018), LOCALIZER (Sperschneider et al., 2017), homology searches against dbCAN version 8 using HMMER version 3.3 (Mistry et al., 2013), and sequence matches against PHI-base version 4.9 (Urban et al., 2020) using MMSeqs2 version 11.e1a1c (Steinegger & Söding, 2017).Information from Predector, InterProScan, Pannzer, eggNOG-mapper, positive selection and orthogroup analyses were combined into a single table.<br>Raw orthogroup CDS codon alignments, gene trees, and BUSTED results are also included for all non-singleton orthogroups.
DOI: 10.6084/m9.figshare.16864567.v1
title: twitter mobility during COVID19 in GLA

description: The deposited data are generated minimal data sets for reproducing the analysed results.
DOI: 10.6084/m9.figshare.21300873.v2
title: Fish buying and selling locations, volumes, and trader gender in Malawi

description: Fish trade locations, volumes, and gender of fish traders in Malawi
DOI: 10.6084/m9.figshare.23612754.v1
title: The ophthalmic artery resistive index as a predictor of choriocapillaris ischemia in multivariate logistic models

description: ABSTRACT Objective Vascular findings in preeclampsia are usually attributed to increased vascular tone. Recently, however, important studies have improved the understanding of the main pathophysiological events in this condition, especially vascular brain remodeling, impaired autoregulation, and damage of the blood-brain barrier, which are well recognized features of cerebral overperfusion. Methods In this study, the association between choriocapillaris ischemia with ophthalmic artery blood flow parameters on orbital Doppler ultrasound is reported for the first time using multivariate logistic models. Multivariate logistic models with ophthalmic artery blood flow parameters, as well as major clinical and laboratory predictive variables were established for choriocapillaris ischemia and choriocapillaris ischemia with retinal detachment. Results In a series of 165 patients, 46 (28%) presented choriocapillaris ischemia; among them, 20 (12%) presented associated retinal detachment. The ophthalmic artery resistive index was the main predictor for choriocapillaris ischemia and choriocapillaris ischemia with retinal detachment in multivariate logistic models. Ophthalmic artery resistance lower than 0.56 was associated with a significantly high incidence of both outcomes. Conclusion This study supports that the branching pattern of choroidal arterioles and the lobular organization of choriocapillaris are the major morphological aspects underlying endothelial damage and lobular ischemia in the context of choroidal overperfusion. Overperfused lobules bordering areas of choriocapillaris ischemia produce a perfusion pressure gradient, with lobular reperfusion, leakage from reperfused choriocapillaris, and retinal detachment. Ophthalmic artery-resistive index lower than 0.56 is proposed as a major predictor of the overperfusion-related choriocapillaris ischemia and choriocapillaris ischemia with retinal detachment in preeclampsia.
DOI: 10.6084/m9.figshare.23791923.v1
title: Search strategy. Barriers to and facilitators for the creation, dissemination, implementation, monitoring, and evaluation of oral health policies in the WHO Africa region.

description: This documents includes the specific search strategies adapted to the syntax and thesauri for each database.
DOI: 10.6084/m9.figshare.25572603.v1
title: source_data.rar

description: source data of 4 figures in the main text for Nature manuscript "A Site-Resolved 2D Quantum Simulator with Hundreds of Trapped Ions"
DOI: 10.6084/m9.figshare.7840793.v1
title: Biomarkers Marathon

description: marathon, ultramarathon, biomarkers
DOI: 10.5522/04/28778062.v1
title: spreadsheets_for_nature: data points plotted in figures for paper (nature publication requirement)

description: Dopaminergic action prediction errors serve as a value-free teaching signalAnimals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.Spreadsheets of all data points in all plots required by Nature, this is required for publication
DOI: 10.6084/m9.figshare.12480350.v1
title: Well-being in pandemic_Raw Data_Spasovski_Kenig.sav

description: Data set - responses of participants in a survey on well-being of students during self-isolation due to pandemic.<b>Background:</b> Covid-19 pandemic resulted with a lock-down measure imposed by the government of North Macedonia. Conditions of self-isolation during pandemic affect the mental health. We research the possible protective factors of psychological well-being. <b>Method: </b>A total of 510 college students from the biggest university in the country (70% females, <i>M </i>age = 21.12 years, <i>SD </i>= 1.58) responded to a structured online questionnaire, one month after the country's complete lock down. <b>Results: </b>The correlational analysis suggests that at this age, psychological well-being in conditions of isolation is higher when the perceived social support and adequacy of being informed about the virus, as well the self-engagement with physical activities are higher. Further, respondents who assessed and accept the official medical and restrictive measures higher, reported better overall well-being. Finally, those students who hold conspiratorial beliefs about the virus spread tend to feel more contented than those who do not. <b>Conclusions:</b> In the face of the possible second wave of pandemic, policy creators and scientific community should develop well-thought strategy, tailored to different groups, to support people to cope with pandemic, and to prevent fake news and conspiracy theories which undermine confidence in the health system.
DOI: 10.6084/m9.figshare.20015915.v1
title: Lending club train

description: Part of the dataset supplied in: https://www.kaggle.com/datasets/wordsforthewise/lending-club
DOI: 10.6084/m9.figshare.20152445.v1
title: Global impacts of projected climate changes on the extent and aboveground biomass of mangrove forests

description: Occurrence records, environmental data, R code, ODMAP protocol and predictions made under contrasting climate change conditions.
DOI: 10.6084/m9.figshare.26941483.v2
title: 10 GPCRs

description: The top 10 G protein coupled receptors (GPCRs) datasets with the largest number of reported ligands from ChEMBL database (https://www.ebi.ac.uk/chembl/).