cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17866/rd.salford.28001966.v1
title: CyberEntRel: Research Paper, Dataset and Code

description: The cyber threat intelligence (CTI) knowledge graph is beneficial for making robust defense strategies for security professionals. These are built from cyber threat intelligence data based on relation triples where each relation triple contains two entities associated with one relation. The main problem is that the CTI data is increasing more rapidly than expected and existing techniques are becoming ineffective for extracting the CTI information. This work mainly focuses on the extraction of cyber relation triples in an effective way using the joint extraction technique, which resolves the issues in the classical pipeline technique. Firstly, the ‘BIEOS’ tagging scheme was applied to CTI data using the joint tagging technique and then the relation triples were jointly extracted. This study utilized the attention-based RoBERTa-BiGRU-CRF model for sequential tagging. Finally, the relation triples were extracted using the relation-matching technique after matching the best suitable relation for the two predicted entities. The experimental results showed that this technique outperformed the state-of-the-art models in knowledge triple extraction on CTI data. Furthermore, a 7% increase in the F1 score also proved the effectiveness of this technique for the information extraction task on CTI data.
DOI: 10.6084/m9.figshare.1504117.v10
title: MPG Ranch 16S amplicon data

description: 16S amplicon data from soil study at MPG Ranch. Dates in file names denote sequencing runs at Argonne National Lab. Files beginning with R1 are forward read files (raw fastq files) and files beginning with I1 are index sequences. Concatenate the R1 and I1 files with the same date (in alphabetical order) prior to demultiplexing. Mapping files with barcodes are also included (text files). Dates in mapping file correspond to dates in sequence files. Demultiplex each sequencing run (date) seperately. Full metadata mapping file for all samples is also included. Open reference OTU table (97% identity, singletons removed), taxonomy metadata file, OTU representative sequence fasta file, and phylogenetic tree file also included.
DOI: 10.6084/m9.figshare.27202404.v1
title: Supplementary Material for: Urgent contrast-enhanced computed tomography before early colonoscopy in the management of colonic diverticular bleeding: A multicenter randomized controlled trial

description: Introduction: Contrast-enhanced computed tomography (CE-CT) has been gaining attention as an initial investigation in the management of colonic diverticular bleeding (CDB), yet the role of CE-CT other than its diagnostic yield, has not been adequately clarified. We aimed to determine whether the use of urgent CE-CT improves identification of stigmata of recent hemorrhage (SRH) in subsequently performed early colonoscopy (≤24 hours of arrival) or other clinical outcomes of CDB.

Methods: We conducted a randomized, open-label, controlled trial at 23 institutions in Japan. Outpatients with suspected CDB were randomly assigned to undergo either urgent CE-CT followed by early colonoscopy (urgent-CE-CT + early-colonoscopy group) or early colonoscopy alone (early-colonoscopy group). The primary outcome was SRH identification. Secondary outcomes included successful endoscopic hemostasis, early (&lt;30 days) and late (&lt;1 year) rebleeding, length of hospital stay and transfusion requirements. 

Results: In total, 240 patients, mostly in a hemodynamically stable condition, were randomized. A contrast extravasation on CE-CT was observed in 20 of 115 patients (17.4%) in the urgent-CE-CT + early-colonoscopy group. SRH was identified in 23 of 115 patients (20.0%) in the urgent-CE-CT + early-colonoscopy group and 21 of 118 patients (17.8%) in the early-colonoscopy group (difference, 2.2; 95% confidence interval [CI], −7.9 to 12.3; P=0.739). Successful endoscopic hemostasis was achieved in 21 patients in each group (18.3% and 17.8%, respectively) (difference, 0.5; 95% CI, −9.4 to 10.4; P=1.000). There were also no significant differences between groups in early and late rebleeding, length of hospital stay and transfusion requirements.

Conclusion: The use of urgent CE-CT before early colonoscopy did not improve SRH identification or other clinical outcomes in patients with suspected CDB in a hemodynamically stable condition. The routine use of urgent CE-CT as an initial investigation is not recommended in this population, also considering the low rate of extravasation-positive cases (UMIN Registry number, UMIN000026865).
DOI: 10.6084/m9.figshare.26835757.v1
title: Datafiles for geographic scale of adaptation study

description: Datafiles associated with the study evaluating the geographic scale of adaptation in prairie perennials.
DOI: 10.6084/m9.figshare.16884688.v1
title: Sports news dataset

description: This dataset contains world news related to sports and also with the news article's available metadata.
DOI: 10.6084/m9.figshare.24751911.v1
title: Annotated Plasmid Sequences

description: Annotated plasmid sequences used in study on duplicate origin plasmids for microbial adaptation.
DOI: 10.6084/m9.figshare.27277578.v1
title: WGS Genotype data

description: Genotyping data on Armenians
DOI: 10.26180/19375091.v3
title: Geographic range size and speciation in honeyeaters

description: Associated data for "Geographic range size and speciation in honeyeaters" https://bmcecolevol.biomedcentral.com/articles/10.1186/s12862-022-02041-6
DOI: 10.6084/m9.figshare.19341995.v1
title: data for time series analysis

description: data for the time series analysis in the main text
DOI: 10.6084/m9.figshare.29149691.v1
title: Analytical limitations for metal analysis in biofilm

description: The method detection limits (MDL) and method recovery limits (MRL) for metal and metalloid analytes. Analysis performed by Biotron Analytical Services at the University of Western Ontario.
DOI: 10.6084/m9.figshare.8863664.v1
title: Barros et al_2019.xlsx

description: Environmental and fisheries data
DOI: 10.6084/m9.figshare.11918223.v1
title: Demographic characteristics of participants

description: Participants' characteristics.
DOI: 10.6084/m9.figshare.14999067.v2
title: 1km Building Height Dataset across China in 2017

description: Based on the Spatially-informed Gaussian process regression (Si-GPR) and open-access Sentinel-1 data, this study developed a 1 km × 1km resolution building height dataset across China in 2017.
DOI: 10.6084/m9.figshare.27996866.v1
title: FaultSeg: A Dataset for Train Wheel Defect Detection

description: The dataset contains original raw images of train wheels captured using a GoPro Hero 9 Black camera, along with their respective segmentation labels for real-time wheel defect detection. The images are annotated for four distinct classes: Wheel, Shelling, Discoloration, and Cracks/Scratches.

It is pertinent to mention here that the model confuses between following classes: peeling, cracking, and scratches. We have categorised all of the cracks and scratches in our dataset into a single class called cracks/scratches.

 

Annotated Data:
This data is further divided into formats and stored within three folders: train, test, and valid. The formats include:

— JSON: Located in the “Labeled_data_coco_segmentation_JSON.zip” folder.
— XML: Found in the “Labeled_data_voc_XML.zip” folder.
— TXT: Available in the “Labeled_data_TXT.zip” folder.
— TFRecord: Under the “Labeled_data_tfrecord.zip” folder.
— CSV: Located in the “labeled_data_multiclass_CSV.zip” folder.

These formats strengthen the overall usability of the code by facilitating the training of various AI-based models, including YOLO, Detectron 2, FastInst, and many others.

 
For detailed annotation of the dataset, please go through this Roboflow link:

https://universe.roboflow.com/ncraai-mehran-university-of-engineering-and-technology-jamshoro-and-university-of-malaga-spain/wheel-defect-detection-e53jb
DOI: 10.6084/m9.figshare.24082668.v2
title: MHs concept encoded of MeSH

description: MHs concept encoded of MeSH
DOI: 10.6084/m9.figshare.5880901.v1
title: Water Level Transects

description: Source data shown in Figure 3.<br><br>Topographic elevations (green lines) and simulated maximum water surface elevations (m, NAVD88) across the ten transects . A distance of 0 km corresponds to the Lake Pontchartrain shoreline.
DOI: 10.6084/m9.figshare.25001390.v1
title: dataset for dating app use and TNSB.sav

description: This research conducted an online survey to investigate the relationship between dating app use and hookup intention. It measured dating app use, perceived descriptive norms, injunctive norms, fear of negative evaluation, hookup intention, and demographic information including age, gender, sexual orientation, and relationship status.
DOI: 10.6084/m9.figshare.28013390.v1
title: Data Set (Questionnaire and Interview transcriptions)

description: This study examines cognitive abilities, particularly critical thinking and problem-solving abilities, of postgraduate EFL students from three Northern Thai universities. A stratified random sampling technique was employed to select the participants from 54 (23-25 years old, 29 females, 25 males, Thai and international students) purposive for the research. Participants completed bilingual, paper, and online questionnaires as part of the quantitative assessment; descriptive statistics and t-tests suggested participants have quiz bowl proficiency, but some differences emerged in creative problem-solving. Interviews: face-to-face, online, and semi-structured interviews provided qualitative data that prompted an understanding of the significance of supervision in the growth of skills.
DOI: 10.6084/m9.figshare.1590962.v6
title: A Textual-based Technique for Smell Detection

description: In this paper, we present TACO (Textual Analysis for Code Smell Detection), a technique that exploits textual analysis to detect a family of smells of different nature and different levels of granularity. We run TACO on 10 open source projects, comparing its performance with existing smell detectors purely based on structural information extracted from code components. The analysis of the results indicate that TACO’s precision ranges between 67% and 77%, while its recall ranges between 72% and 84%. Also, TACO often outperforms alternative structural approaches confirming, once again, the usefulness of information that can be derived from the textual part of code components.
DOI: 10.6084/m9.figshare.21454413.v3
title: MuG: a Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields

description: MuG DatasetData of the <i>Findings of EMNLP'23</i> paper "MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields".The data used in this benchmark is collected from the Internet, and can only be used for research purposes. For detailed instructions, please refer to our GitHub repo: https://github.com/lujiaying/MUG-Bench.<br>License: <b>CC BY-NC-SA 4.0</b>
DOI: 10.6084/m9.figshare.3524927.v1
title: Appendix C. Figures showing mean species richness as a function of time span and area for each data set.

description: Figures showing mean species richness as a function of time span and area for each data set.
DOI: 10.6084/m9.figshare.27894954.v1
title: Complete Publication List

description: The Complete Publication List contains 21 articles.
DOI: 10.6084/m9.figshare.12666416.v2
title: Cost-free lifespan extension via optimisation of gene expression in adulthood aligns with the developmental theory of ageing

description: Data for the following manuscript: https://www.biorxiv.org/content/10.1101/739490v1<br>Please see manuscript for methods and analyses.<br><br>Provided are files for Lifespan, Reproduction and Egg size for C. elegans worms subjected to Control (empty vector) or RNAi against one of five five different genes: age-1, ife-2, ifg-1, nuo-6 or raga-1. RNAi have either been lifelong (L), during adulthood (D1=from day1 of adulthood) or post-reproductive (D6=from day 6 of adulthood).<br>In addition, we also provide QPCR data on gene expression downregulation of the five genes when using RNAi, see methods for details.<br><br>Some data provided may not be included in the analysis, please see supplementary methods for details.<br>For the lifespan files, Event is coded as follows:Event: 1=Dead (natural death or matricide), 0=Censored<br>Matricide: 1=Matricide<br>EventWOM: 1=Dead (natural death), 0=Censored (including matricide as censored)<br>EventWOM is the one used in analyses.<br>
DOI: 10.6084/m9.figshare.3519254.v1
title: Appendix K. A table summarizing sensitivity analysis of recovery time estimates for species richness, Sorenson similarity, and Morisita-Horn similarity.

description: A table summarizing sensitivity analysis of recovery time estimates for species richness, Sorenson similarity, and Morisita-Horn similarity.
DOI: 10.6084/m9.figshare.17371913.v1
title: Supplementary Material for: Crk Haploinsufficiency is associated with Intrauterine Growth Retardation and Severe Postnatal Growth Failure

description: Background Children with 17p13.3 microdeletions including YWHAE gene, show intrauterine growth restriction (IUGR), craniofacial dysmorphisms, postnatal growth failure and cognitive impairment. This region is characterized by genomic instability and has been associated with isolated lissencephaly sequence (ILS) and Miller Dieker syndrome (MDS) characterized by facial dysmorphisms, microcephaly, short stature, seizures, cardiac malformations, and agyria. Whilst brain abnormalities are secondary to YWHAE deficiency, the cause of pre- and postnatal growth failure has not been identified yet. Case Presentation We describe two patients (A.C. 15 yrs and S.P. 11 yrs and 10 months) referred to our Center of Pediatric Endocrinology for intrauterine growth retardation with de novo 17p13.3 deletion. In vitro assays showed a defect in CRK expression and GH/IGF1 signaling. rhGH therapy was effective in partially reducing the deficit in height in patient A.C. and induced catch-up growth in patient S.C. Conclusion Our results suggest that 17p13.3 microdeletion involving CRK affects both GH and IGF1 signaling ultimately leading to pre- and post-natal growth retardation, secondary to partial insensitivity to GH/IGF1. rhGH therapy may be considered to reduce the height deficit in these patients, though data on adult height are lacking.
DOI: 10.6084/m9.figshare.28233065.v2
title: Source Data.xlsx

description: Source Date for A2AAR-Gs complexFPLC, gel and source data for biochemical, MD and cryo-EM
DOI: 10.6084/m9.figshare.24064263.v1
title: Raw data for Wei et al., 2023 JHM

description: Raw data for Wei et al., 2023 Journal of Harzardous Materials.
DOI: 10.15468/dl.7gdxq2
title: Occurrence Download

description: A dataset containing 169668 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swedish Butterfly Monitoring Scheme (SeBMS)"
 ]
}

 The dataset includes 169668 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013464-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26713711.v1
title: figshare.xlsx

description: Four likely pathogenic variants were detected in 4 of the 83 probands (4.8 %) with eo-HM.
DOI: 10.6084/m9.figshare.27898149.v3
title: data.zip

description: Programmed death-ligand 1 (PD-L1) is an important biomarker increasingly used as a predictive marker in breast cancer immunotherapy. Immunohistochemical quantification is the current standard assessment method; however, it presents challenges in terms of time, cost, and reliability. Hematoxylin and eosin (H&E) staining is a routine staining method in cancer pathology, known for being easily accessible and consistently reliable. Deep learning has demonstrated the potential to predict biomarkers in cancer histopathology. This study uses a weakly supervised, multiple instance learning(MIL) approach to predict PD-L1 expression from H&E-stained images using deep learning techniques. In the internal test set, the TransMIL method achieved an area under curve (AUC) of 0.833, and in an independent external test set, it achieved an AUC of 0.799. Additionally, since RNA sequencing results indicate a threshold that makes H&E pathology images separable, we also conducted predictions on the public TCGA-TNBC database, achieving an AUC of 0.721. This demonstrates that the Transformer-based TransMIL model can effectively capture highly heterogeneous features within a MIL framework, exhibiting strong cross-center generalization ability. Our study shows that appropriate deep learning techniques can enable effective PD-L1 prediction on datasets with limited data and across regions and centers. This not only demonstrates the significant potential of deep learning in pathological AI but also provides a valuable reference for the rational and efficient allocation of medical resources.
DOI: 10.6084/m9.figshare.7929638.v1
title: gVCF_HG02384

description: 1000 Genomes gVCF mapped to hs37d5 for HG02384. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.29117372.v2
title: Classroom observations

description: South African education system supports the use of previously marginalised indigenous languages as a sign of reform and to ensure inclusivity and equitable access to education. However, using indigenous languages in STEM (Science, Technology, Engineering, and Mathematics) is a debated subject. Nevertheless, there is an emerging interest towards the use of indigenous languages in Mathematics and science, which is evident through initiatives such as the piloted Mother Tongue based Bilingual Education (MTbBE). Such initiatives require learning resources in various indigenous languages to succeed. In addition, the effectiveness of such resources needs to be investigated.This is a qualitative research that use a case study approach to investigate the influence of scientific language register written in Sepedi on classroom interaction and discourse. The study involves three schools in Seotlong circuit, and each school is treated as a case. Each case consists of one Sepedi-speaking Natural Sciences and Technology (NST) teacher and one Intermediate Phase classroom of Sepedi-speaking learners. The data from these participants was collected using lesson observations and diary entries. Inductive Content Analysis was used to analyse the data.The results indicated that the classrooms were interactive in all three cases. This shows that Sepedi scientific language register positively influenced the classroom atmosphere and encouraged interaction. This is important in science, which aims to promote enquire based leaning. This highlights the importance of the developing and using indigenous language learning materials in NST to facilitate teaching and learning.Sepedi scientific language register brings together language and science. Thus, closing the gap between science and local languages, and allowing free interaction between learners and teachers without language barrier. Therefore, it was proven to be an effective learning resource for teaching NST. Hence, this study recommends the use of Sepedi scientific language register as a learning tool for NST.
DOI: 10.6084/m9.figshare.12365396.v1
title: PLANILHA COLETA PROATIVA FINAL.xlsx

description: Dados relacionados a pesquisa epidemiológica em escolares de Paranavaí
DOI: 10.6084/m9.figshare.8293295.v1
title: vChiGamma.m from Nectar, humidity, honey bees (<i>Apis mellifera</i>) and varroa in summer: a theoretical thermofluid analysis of the fate of water vapour from honey ripening and its implications on the control of <i>Varroa destructor</i>

description: This theoretical thermofluid analysis investigates the relationships between honey production rate, nectar concentration and the parameters of entrance size, nest thermal conductance, brood nest humidity and the temperatures needed for nectar to honey conversion. It quantifies and shows that nest humidity is positively related to the amount, and water content of the nectar being desiccated into honey and negatively with respect to nest thermal conductance and entrance size. It is highly likely that honeybees, in temperate climates and in their natural home, with much smaller thermal conductance and entrance, can achieve higher humidities more easily and more frequently than in man-made hives. As a consequence, it is possible that <i>Varroa destructor</i>, a parasite implicated in the spread of pathogenic viruses and colony collapse, which loses fecundity at absolute humidities of 4.3 kPa (approx. 30 gm<sup>−3</sup>) and above, is impacted by the more frequent occurrence of higher humidities in these low conductance, small entrance nests. This study provides the theoretical basis for new avenues of research into the control of varroa, via the modification of beekeeping practices to help maintain higher hive humidities.
DOI: 10.6084/m9.figshare.28680278.v1
title: Community development and personality traits on community development

description: Survey data on community development
DOI: 10.6084/m9.figshare.27190545.v1
title: Pf3D7 gene annotation tables

description: Various annotations for all protein-coding genes in the Plasmodium falciparum 3D7 genome (PlasmoDB release 66), as well as information on proteins with known ligand binding affinities from BindingDB. This dataset includes all data displayed in pftargetbrowser.org
DOI: 10.15468/dl.5m84fh
title: Occurrence Download

description: A dataset containing 11450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rosa gallica L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11450 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013476-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu348u
title: Occurrence Download

description: A dataset containing 2148800 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odonata",
 "Continent is North America",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1960"
 ]
}

 The dataset includes 2148800 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025803-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.21762530.v1
title: PRISMA checklist Suicide by insulin a systematic review.docx

description: Suicide by insulin: A systematic review
DOI: 10.15468/dl.8chna9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.9648 -7.1504,17.9648 -7.1504,17.9648 -16.1504,26.9648 -16.1504,26.9648 -7.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013401-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.13417316.v2
title: Supervised machine learning for smart contract vulnerability prediction

description: Python machine learning code using Scikit-learn for ERC-20 smart contract vulnerability detection.