cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1558108.v2
title: Grassland environment measurements of Solidago canadensis

description: This study was conducted to measure Solidago canadensis (goldenrod) plant abundance, crowding, and height, as well as flower and leaf abundance on randomly selected branches of individuals. A belt transect method with a one metre spread (50 centimetres on each side of the transect) was used to select individuals to study, with individuals falling within the belt along the line being chosen to be recorded. An area to begin the transect was randomly selected by taking 50 steps down a trail in the grassland, and taking another 10 steps to the right of the path. The transect was then stretched out in a straight line. Branches to study were selected by closing eyes and picking a branch on the plant. This data set was collected on September 21, 2015 between 2:45 and 3:30 pm ET. The temperature was 19 degrees celsius with scattered clouds.
DOI: 10.6084/m9.figshare.27671769.v1
title: Data extraction-Practices and Challenges in Measuring and Monitoring Construction Productivity.xlsx

description: This reference provides an overview of studies included in a systematic review on construction productivity measurement and monitoring.
DOI: 10.6084/m9.figshare.5165602.v1
title: Modelling the effects of spatial heterogeneity and temporal variation in extinction probability on mosquito populations

description: Raw data related to the manuscript entitled "Modelling the effects of spatial heterogeneity and temporal variation in extinction probability on mosquito populations" (EAP17-0067.R1).
DOI: 10.17632/phb9y6cp5c
title: Physiological Features and Inertial Features Based Dataset: PIFv3

description: Description of PIF v3 dataset General Information: 
This dataset is acquired using wearable sensors such as ECG Sensor, GSR Sensor, IMU Sensor, ProtoCentral Pulse Express with MAX30102 and max32664, and EMG Sensor from 32 participants with different age, sex, height and weights. 

Dataset File Structure:
The dataset is organised so that each subject has a folder. The folders are labelled according to participant identification number (PIDX). Each subject folder contains the following two csv files: PID_X.csv and PID_X_BPM.csv contains the information about the participant electrocardiogram, electromyography, GSR, IMU and Pulse sensor and Label performing 18 activities and Falls. 

Features that are extracted in Dataset are: 
Datetime, Sys, Dia, HR, Spo2, GSRRaw, Resistance, GSR (kohm), SCL, GSRRMS, GSRMAV, AccX, AccY, AccZ, GyroX, GyroY, GyroZ, Aroll, Apitch, Groll, Gpitch, Gyaw, Combroll, Combpitch, ECGRaw, AvgECG, ampECG, MAX, EMGRaw, EMGRMS, EMGMAV, EMGVAR, EMGSSI, IEMG and Activities.

This dataset also contains a file Participants.xlsx in which the information related to participants Age, Height, Weight, PID number, Gender, Medical History, State, etc are given. Elderly as well as young people performed all the 18 Activities.

Activities: Standing, Left Fall while Standing, Right Fall while Standing, Forward Fall while Standing, Sitting, Left Fall while Sitting, Right Fall while Sitting, Forward Fall while Sitting, Walking, Relaxing, Anxiety, Sad, Motivational, Funny, Pressing Stress Ball, Hand at Rest and Fist.

Videos link that are used to display the participants during data collection to acquire the different emotional values.

Emotions Links
Relaxing https://www.youtube.com/watch?v=0LJtn6yERns&list=PL585q5uwv3PEN4gc1OV9-Z3twsfBBLSbX&index=6&pp=gAQBiAQB
Anxiety https://www.youtube.com/watch?v=we2YF1J6jxg
Sad https://www.youtube.com/watch?v=PdSGSw3wI4Q 
Motivational https://www.youtube.com/watch?v=mFMapVqIbuE
Funny https://www.youtube.com/watch?v=jbHaP79UMpE 

Related Article: Dhaliwal MK, Sharma R, Bindra N. Analyzing Wearable Data for Diagnosing COVID-19 Using Machine Learning Model. Lect. Notes Electr. Eng., vol. 946, Springer, Singapore; 2023, p. 285–99. https://doi.org/10.1007/978-981-19-5868-7_22.
DOI: 10.6084/m9.figshare.12656255.v1
title: Match Video Pass Labels

description: pass labels of matches<br>
DOI: 10.6084/m9.figshare.21747461.v11
title: OpenCitations Meta CSV dataset of all bibliographic metadata

description: Compared to the previous version, this release includes metadata related to citing and cited bibliographic resources added in the November 2024 version of Crossref, as well as the November 2024 dump of JaLC (Japan Link Center).In this version, we have focused on correcting a specific type of error, namely the erroneous duplication of resources with the same identifier. We have successfully merged:100% of duplicated identifiers (datacite:Identifier)100% of duplicated responsible agents (foaf:Agent)70% of duplicated bibliographic resources (fabio:Expression)This dataset contains all the bibliographic metadata (in CSV format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:<b>[field "id"]</b> the IDs for the document described within the line;<b>[field "title"]</b> the document's title;<b>[field "author"]</b> the authors of the document;<b>[field "pub_date"]</b> the date of publication;<b>[field "venue"]</b> information about the venue, i.e. the bibliographical resource to which the document belongs;<b>[field "volume"]</b> the volume sequence identifier (e.g. a number) to which the entity belongs;<b>[field "issue"]</b> the issuesequence identifier (e.g. a number) to which the entity belongs;<b>[field "page"]</b> the page range of the resource described in the row;<b>[field "type"]</b> the type of resource described in the row;<b>[field "publisher"]</b> the entity responsible for making the resource available;<b>[field "editor"] </b>the editors of the document.This version of the dataset contains:121,302,680 bibliographic entities368,061,399 authors, 2,718,222 editors, and 101,612,475 publishers (counted by their roles, without disambiguating individual698,995 publication venuesThe compressed dataset weighs 12G, while, when extracted, it weighs 48G on an ext4 filesystem.Additional information about OpenCitations Meta at official webpage.
DOI: 10.6084/m9.figshare.27047785.v1
title: Raw Dataset - Endometriosis surgery & pain

description: <b>Background:</b> Painful pelvic symptoms are the main reason why women with endometriosis who do not respond to medical options seek treatment.<b>Aims:</b> To investigate the difference in painful pelvic symptoms before and after laparoscopic endometriosis surgery in patients who do not respond to medical options.<b>Materials and Methods: </b>Women who underwent laparoscopic endometriosis surgery with an indication of drug-refractory painful pelvic symptoms at a large tertiary referral hospital between January 1, 2018 and September 30, 2020 were retrospectively reviewed. A total of 82 eligible participants were included. Patients were divided into two groups: isolated ovarian endometriosis (group 1) (n=51) and deep infiltrating endometriosis (group 2) (n=31). The groups were then compared in terms of visual analogue scale scores for painful pelvic symptoms and various outcomes. Composite intraoperative and postoperative morbidities were primary outcome measures that combined various surgery-related conditions, including transfusion requirements, to draw conclusions.<b>Results: </b>Our preliminary results suggest that laparoscopic endometriosis surgery provided significant pain relief for all painful pelvic symptoms. The magnitude of improvement in visual analogue scale scores after surgery was similar. Therefore, improvement in symptoms was independent of whether patients had isolated ovarian disease or deep infiltrating endometriosis. Composite intraoperative morbidities were significantly higher in group 2 while composite postoperative morbidities was indifferent (p=0.001 and 0.086, respectively).<b>Conclusions: </b>Laparoscopic endometriosis surgery in expert hands brings significant improvement in all painful pelvic symptoms. Modern endometriosis treatment needs to be individualized and modified by adopting a patient-centered, multimodal and interdisciplinary integrated approach.
DOI: 10.6084/m9.figshare.27618876.v1
title: Data for the article: Persistent Health and Cognitive Impairments Up to Four Years Post-COVID-19 in Young Students: The Impact of Virus Variants and Vaccination Timing

description: The long-term consequences of COVID-19 infection are becoming increasingly evident in recent studies. This repeated cross-sectional study aimed to explore the long-term health and cognitive effects of COVID-19, focusing on how virus variants, vaccination, illness severity, and time since infection impact post-COVID-19 outcomes. We examined three cohorts of university students (N=584) and used non-parametric methods to assess correlations of various health and cognitive variables with SARS-CoV-2 infection, COVID-19 severity, vaccination status, time since infection, time since vaccination, and virus variants. Our results show that some health and cognitive impairments persist, with some even progressively worsening especially fatigue in women and memory in men, up to four years post-infection, with the Wuhan variant having the most significant long-term impact and the Omicron variant the least. Interestingly, the severity of the acute illness was not correlated with the variant of SARS-CoV-2. The analysis also revealed that individuals who contracted COVID-19 after vaccination had better health and cognitive outcomes compared to those infected before vaccination. The study also discusses some limitations inherent in cross-sectional studies, particularly those arising from the stronger tendency of individuals with poorer health, compared to healthier individuals, to avoid infection and prioritize vaccination. To mitigate potential bias, the study proposes focusing on factors such as illness severity and time since infection or vaccination when analyzing persistent symptoms.
DOI: 10.6084/m9.figshare.28344461.v1
title: On protected areas and other effective area-based conservation measures to conserve biodiversity. Exploring their contribution to Colombian snakes

description: The occurrence database is used to construct species distribution models of snakes native to Colombia. 1_occurrences_cleaned_unfiltered.txt contains the full unfiltered species occurrences. 2_occurrences_cleaned_filtered.txt contains species occurrences filtered by environmental filters. Description of column database 1_occurrences_cleaned_unfiltered.txtdb_id: ID of the record in the database org_id: ID of the record in the original databasespecies: scientific name of the speciescountry: original country namecountry_suggested: suggested country namecountry_code: country codestate_province: original state/province namecounty: original county namelocality: original locality nameyear: year of the recordbasis_record: basis of the record recorded_by: name of the person who recorded the recordidentified_by: name of the person who identified the recordx: longitudey: latitude2_occurrences_cleaned_filtered.txt id: ID of the record in the database species: scientific name of the speciesx: longitudey: latitude
DOI: 10.6084/m9.figshare.3569109.v1
title: Appendix B. Locations and stabilities of eqilibrium points.

description: Locations and stabilities of eqilibrium points.
DOI: 10.6084/m9.figshare.7338992.v1
title: Information flow reveals prediction limits in online social activity

description: Data supporting the study, "Information flow reveals prediction limits in online social activity".
DOI: 10.6084/m9.figshare.7700954.v1
title: motorcyc_crash_severity.arff

description: motorcycle crash severity data<br>
DOI: 10.6084/m9.figshare.9917162.v4
title: Crowdsourced datasets to study the generation and impact of text highlighting in classification tasks

description: Here we present the datasets derived from our experiments on using crowdsourcing for document classification tasks. These experiments resemble a two-step process that first highlights excerpts from the text and then leverage these to workers for classification. Thus our experiments groups into highlighting generation and classification. For generating highlights, we leverage crowdsourcing and automatic approaches such us extractive summarization and question answering models. For our classification experiments, we consider documents from two different domains: systematic literature reviews and amazon product reviews. Specifically, we study how highlighting text passages could aid workers in judging the relevance of a document given an input question. We spec these datasets to benefit not only to study these particular problem domains but a broader set of classification problems where individual judgments from workers are scarce.<br><br>In a nutshell, the datasets represent two kinds of tasks:<br>- classification tasks with highlighting support.- highlighting tasks, where the workers highlight evidence.<br><b>Classification tasks</b><br>In this task, workers classified documents based on a given predicate. <br><b>classification tasks using crowdsourced highlights</b><br>Files:<i>- classification_amazon-crowd-highlights.csv</i><i>- classification_oa-crowd-highlights.csv</i><i>- classification_tech-crowd-highlights.csv</i><i>- classification_tech-3x12-crowd-highlights.csv</i><i>- classification_tech-6x6-crowd-highlights.csv</i><br><b>classification tasks using ML-generated highlights</b><br>Files:<i>- classification_amazon-ML-highlights.csv</i><i>- classification_oa-ML-highlights.csv</i><i>- classification_tech-ML-highlights.csv</i><br><br><b>Highlighting tasks</b><br><b>crowdsourced highlights</b><br><br>In this task, workers highlighted excerpts from documents that are relevant to a given predicate, to support future classification tasks.<br>File: <i>crowdsourced_highlights.csv.</i><br><i><br></i>The file contains one line per highlight (generated by one worker); the column that holds the highlighted fragment(s) is <i>highlighted_text</i>. The <i>highlighted_text</i> is a "list of lists" (Python syntax), so iterating over this list will give you the text fragment generated by one worker. Also, the <i>experiment</i> column indicates domain + task design. So, to get the highlights used in the classification experiments, use the rows that end with <i>"-highlight"</i>.<br><br><b>ML-generated highlights</b><br>We also consider automatic approaches to generate text highlights — specifically, extractive summarization and question-answering models.<br><br>File: <i>ml_highlights.csv.</i>
DOI: 10.6084/m9.figshare.11638932.v5
title: A Wikipedia Based Map of Science

description: 15th January 2020 - A Map of Science. v. 1.0<br> Description:A network which shows the similarities among different branches of science. It's based on Wikipedia pages in outline of natural, formal, social and applied sciences plus Data Science, which is not yet included (18 Jan. 2020). All pages called "Outline of X" were ignored. Pages are pre processed to get the main content with regular expressions. Stop words removal, lemmatization with WordNetLemmatizer in NLTK. Edges represent cosine similarity and filtered calculating zscore leaving only edges with a zscore &gt; 1.959964 . Isolated nodes were removed.<br><br>Materials:R, python, igraph, nltk, d3, javascript, html, wikipedia <br><br>Contact:Alberto Calderone - sinnefa@gmail.com<br>Preview:http://www.sinnefa.com/wikipediasciencemap/<br>
DOI: 10.6084/m9.figshare.12751073.v2
title: geneConversions.zip

description: Data used to convert data from one gene ID to another.
DOI: 10.17632/92cf4cm2pw
title: Battle of the Bots: Solving Clinical Cases in Osteoarticular Infections with Large Language Models

description: Supplementary Material and Methods:
Supplementary Material and Methods 4: Excel files containing the multiple-choice results for each LLM across the five topic areas; 
Supplementary Material and Methods 5: Excel files containing the raw outputs from all 15 models; 
Supplementary Material and Methods 6: Excel files containing the consensus-resolved Likert-scale ratings
DOI: 10.17632/x38yzs6cd3
title: Efficacy and Safety of Teprotumumab in the Treatment of Thyroid Eye Disease Patients with Long Duration and Low Disease Activity

description: SUPPLEMENT Efficacy and Safety of Teprotumumab in the Treatment of Thyroid Eye Disease Patients with Long Duration and Low Disease Activity: A Randomised Double-Masked, Placebo-controlled, Multicenter Trial Raymond S. Douglas et al
DOI: 10.6084/m9.figshare.13322450.v4
title: European LCZ map

description: A European Local Climate Zone map at a 100 m spatial resolution, derived from multiple earth observation datasets and expert LCZ class labels. There are 10 urban LCZ types, each associated with a set of relevant variables such that the map represent a valuable database of urban properties.
DOI: 10.6084/m9.figshare.21173809.v1
title: Supplementary Material for: Estradiol Replacement as a Potential Enhancer of Working Memory and Neuroplasticity in Hypogonadal Trans Women

description: Introduction: The cognitive effects of cross-sex hormone therapy (CSHT) are not well understood. In cisgender individuals, sex hormone therapy can impact neurotransmitter levels and structural anatomy. Similarly, in gender-diverse persons, CSHT has been associated with neural adaptations, such as growth in brain structures resembling those observed in cisgender individuals of the same sex. Hormone-related changes in learning and memory, as seen in menopause, are associated with physiological hypogonadism or a decline in hormones, such as estradiol. The present study examined the effect of estradiol administration in humans on glutamate concentration in brain regions involved in semantic and working memory (i.e., the dorsolateral prefrontal cortex (DLPFC), the posterior hippocampus, and the pregenual anterior cingulate cortex (ACC)) and its relationship with memory. Methods: Eighteen trans women (male biological sex assigned at birth) ceased CSHT for 30-days for a washout phase (t1) upon study enrollment to reach a hypogonadal state. Working and semantic memory, cognition, hormonal assays, and brain imaging were assessed. Participants resumed CSHT for 60-days for a replacement phase (t2), after which the same evaluations from t1 were repeated. Results: Estradiol increased among trans women after 60-days of resumed CSHT with significant improvements in semantic memory compared to the hypogonadal phase. Working memory recall was significantly and positively correlated to glutamate in the DLPFC during the reinstatement phase, although the relationship was not moderated by levels of estradiol. Discussion: These results may have clinical implications for the therapeutic effects of estradiol replacement serving as a protective factor against cognitive decline and impairment for trans women post-gonadectomy.
DOI: 10.6084/m9.figshare.3502373.v1
title: binarydata.xlsx

description: Four binary data sets are contained in the File S1, an Excel file, for the four phases of winemaking: Harvest field, Juice, Wine at bottling (Prewine) and bottled Wine.
DOI: 10.6084/m9.figshare.7012427.v2
title: Supplementary File S3 from Integrated human-virus metabolic stoichiometric modelling predicts host-based antiviral targets against Chikungunya, Dengue and Zika viruses.

description: Results for the reaction knockout and host-derived enforcement analyses. Model reactions and model subsystems are listed. The resulting virus optima, for CHIKV, DENV and ZIKV, are shown as a percentage of the original model (without the additional constraints imposed by the analyses). The lower and upper flux bounds used for the host-derived enforcement analysis are listed for the relevant reaction and associated virus optimisation result.
DOI: 10.6084/m9.figshare.7700918.v1
title: motorcyc_crash_severity.arff

description: motorcycle crash severity<br>
DOI: 10.6084/m9.figshare.9900203.v1
title: Applicability of Performance Prism in SMEs: a multiple case study

description: Abstract In the performance assessment models literature, is rather rare research that discusses the Performance Prism Framework, specifically in using it as management tool and in checking its validity as driver strategy instrument. There are also few studies on the applicability related to the implementation, use and analysis of the Performance Prism Framework in micro and small businesses. In this sense, this article has as main objective to propose (i) a bibliometric study of the Performance Prism Framework; and (ii) to develop a multiple case study of micro and small business. To meet the first goal, we used a bibliometric desk research method in the major databases, such as ISI Web of Knowledge, EBSCO and Proquest, which generated 81 articles. From them, we analyzed specifically few studies. To achieve the second goal, a multiple case study method with five micro and small businesses (e.g., sports segments, drugstore, clothing, department store and an apparel faction) was held. The findings confirmed the five dimensions of the Performance Prism Framework, called: (1) Stakeholders Satisfaction; (2) Contribution of Stakeholders; (3) Strategies; (4) Processes; and (5) Capabilities. In addition, we extend previous literature and proposed another dimension called (6) Performance Dynamic. The results also showed that the Capabilities is strongly seen as training employees, the Performance Dynamics are fundamentally weighted as sales amount, not as profit and the Contribution of Stakeholders is hardly evident.
DOI: 10.17632/rp5hpmgrd8
title: Penalized splines for smooth representation of high-dimensional Monte Carlo datasets

description: Abstract Detector response to a high-energy physics process is often estimated by Monte Carlo simulation. For purposes of data analysis, the results of this simulation are typically stored in large multi-dimensional histograms, which can quickly become both too large to easily store and manipulate and numerically problematic due to unfilled bins or interpolation artifacts. We describe here an application of the penalized spline technique (Marx and Eilers, 1996) [1] to efficiently compute B-spline rep... Title of program: Photospline Catalogue Id: AEPK_v1_0 Nature of problem An algorithm to smoothly represent histogram, including mathematical operations and convolutions. Using histograms of Monte Carlo simulation for likelihood fitting can be unstable due to binning artifacts from statistical fluctuations and hard bin-to-bin transitions. This package provides a toolkit for using penalized spline fits on extremely large multi-dimensional datasets to reduce or eliminate such issues. Versions of this program held in the CPC repository in Mendeley Data AEPK_v1_0; Photospline; 10.1016/j.cpc.2013.04.008 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.6084/m9.figshare.14455839.v1
title: Named-Entities as a Metadata Resource for Indexing and Searching Information

description: This set contains 1126 documents extracted from texts of the newspaper A Tribuna, from Espírito Santo, and manually annotated. Regarding Named Entities, the following categories were adopted: Place (PLC), Organization (ORG), Person (PER), Time (TME), and Value (VAL). The file is in Extensible Markup Language (XML) format and divided by sentences. We also provide the file used in Apache Solr.
DOI: 10.6084/m9.figshare.23932131.v1
title: Raw Data

description: The raw data of Comprehensive Bioinformatics Analysis Identified Novel Subtypes of Angiogenesis Related Factor that Predicted Prognosis and Efficacy of Immunotherapy in Lung Adenocarcinoma.