cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15522420
title: Domain Knowledge in Requirements Engineering: A Systematic Mapping Study

description: [Context] Domain knowledge is recognized as a key component for the success of Requirements Engineering (RE), as it provides the conceptual support needed to understand the system context, ensure alignment with stakeholder needs, and reduce ambiguity in requirements specification. Despite its relevance, the scientific literature still lacks a systematicconsolidation of how domain knowledge can be effectively used and operationalized in RE. [Goal] This paper addresses this gap by offering a comprehensive overview of existing contributions, including methods, techniques, and tools to incorporate domain knowledge into RE practices. [Method] We conducted a systematic mapping study using a hybrid search strategy that combines database searches with iterative backward and forward snowballing. [Results] In total, we found 75 papers that met our inclusion criteria. The analysis highlights the main types of requirements addressed, the most frequently considered quality attributes, and recurring challenges in the formalization, acquisition, and long-term maintenance of domain knowledge. The results provide support for researchers and practitioners in identifying established approaches and unresolved issues. The study also outlines promising directions for future research, emphasizing the development of scalable, automated, and sustainable solutions to integrate domain knowledge into RE processes. [Conclusion] The study contributes with a comprehensive overview that helps to build a conceptual and methodological foundation for knowledge-driven requirements engineering.
DOI: 10.5281/zenodo.15522423
title: ЦИФРОВЫЕ ВАЛЮТЫ ЦЕНТРАЛЬНЫХ БАНКОВ: МИРОВОЙ ОПЫТ И ПЕРСПЕКТИВЫ РЕСПУБЛИКИ УЗБЕКИСТАН.
DOI: 10.5281/zenodo.15522424
title: ЦИФРОВЫЕ ВАЛЮТЫ ЦЕНТРАЛЬНЫХ БАНКОВ: МИРОВОЙ ОПЫТ И ПЕРСПЕКТИВЫ РЕСПУБЛИКИ УЗБЕКИСТАН.
DOI: 10.15468/dl.b8pzcd
title: Occurrence Download

description: A dataset containing 17030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Colletotrichum tropicale E.I.Rojas, S.A.Rehner & Samuels, Nudaurelia petiveri Guérin-Méneville, 1845, Prolatoia sjostedti Aurivillius, 1897, Chilozela trapeziana Sepp, Chilomima clarkei Amsel, 1956, Ptyonocera atrifusella Hampson, 1901, Opogona chlorophanes Meyrick, 1908, Atta cephalotes (Linnaeus, 1758), Trichogramma colombiense Velasquez & Teran, 1995, Euplectrus floryae Schauff, 2001, Encarsia bellottii Evans & Castillo, 1998, Encarsia aleurothrixi Evans & Polaszek, 1998, Cheiloneurus kuisebi Prinsloo, 1985, Eretmocerus aleyrodiphagus (Risbec, 1951), Ooencyrtus congensis Prinsloo, 1987, Trichogramma marandobai Brun, Gomez de Moraes & Soares, 1986, Parapyrus manihoti Noyes, 1984, Homalotylus africanus Timberlake, 1919, Anagyrus elgeri (Kerrich, 1982), Signiphora hyalinipennis Girault, 1913, Trichogramma oatmani Torre, 1980, Brachymeria eublemmae (Steffan, 1951), Prochiloneurus dactylopii (Howard, 1885), Coccidoctonus pseudococci (Risbec, 1954), Anagyrus pullus Compere, 1939, Cheiloneurus carinatus Compere, 1938, Chartocerus hyalipennis Hayat, 1970, Aenasius vexans Kerrich, 1967, Anagyrus diversicornis (Howard, 1894), Acerophagus coccois Smith, 1880, Cheiloneurus elegans (Dalman, 1820), Hypostomus alatus Castelnau, 1855, Phytophthora erythroseptica Pethybr., Clarohilum henningsii (Allesch.) Videira & Crous, Hybomys univittatus (Peters, 1876), Ariteus flavescens (Gray, 1831), Spalgis epeus (Westwood, 1851), Achaea serva (Fabricius, 1775), Indomyrlaea eugraphella Ragonot, 1888, Phycita erythrolophia Hampson, 1903, Thiallela ligeralis Walker, 1863, Dichrorampha sapodilla Heppner, 1981, Gatesclarkeana erotias (Meyrick, 1905), Columbisoga zapote Muir, 1926, Anicetus mysterius Sugonjaev, 2005, Coccophagus hanoiensis Sugonjaev, 1996, Evenus regalis (Cramer, 1779), Ooencyrtus calpodicus Noyes, 1985, Saliana fusta Evans, 1955, Cinnyris stuhlmanni Reichenow, 1893)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17030 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002458-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vgnbj
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Cryptodendrum adhaesivum (Klunzinger, 1877))"
 ]
}

 The dataset includes 318 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002463-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.898jm6
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Netelia virgata (Geoffroy, 1785)"
 ]
}

 The dataset includes 91 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009665-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/13474566.v1
title: Demographic data that impacts 2020 presidential election

description: The data we use comes from government agencies and mainstream media. We fill the missing data using regression imputation. The pandemic data comes from the Center for Diseases Control and Prevention (CDC) data tracker. As of Nov. 25, 2020, the death toll reached 261k in the U.S.Adult Ranking is used to assess the possible effects of the national result on its voters’ mental wellness. States that are ranked 1-13 have a lower prevalence of mental illness and higher rates of access to care for adults. The states with higher rank (39-51) indicate that adults have a higher prevalence of mental illness and lower rates of access to care. There are seven measures that makeup Adult Ranking, including any mental illness, disorder, suicided, etc. Physical scientist (2018) is used as the representative of the College group. We extract the data from the U.S. Bureau of Labor Statistics. The spirit of independence and freedom in thinking is particularly important in academic studies and research. The underlying assumption of choosing this factoris the higher number of physical scientists, the freer academic atmosphere in which people can pursue truth, exercise reasoning, and respect science. Horse racing is one of the oldest of all sports that have taken place in the United States, which provides normous economic, employment, and social contribution for entertainment sector. It represents the traditional economy in the analysis. We use steed sales from USDA (United States Department of Agriculture) as an indicator of the horse racing prosperity, in other prospects, traditional economy.
DOI: 10.6084/m9.figshare.21303544.v1
title: Additional file 7 of MRI adipose tissue segmentation and quantification in R (RAdipoSeg)

description: Additional file 7. Readme file with details about Additional file 6.
DOI: 10.6084/m9.figshare.25754265.v1
title: Data Alami Abdellatif.xlsx

description: This work focuses on the larvicidal analysis of <i>Artemisia. herba alba</i>, <i>A. absinthium, A. campestris, A. negrei, A. pontica, and A. arborescens</i> essential oils growing in Morocco on the larvae of the West Nile virus vector, <i>C. pipiens</i> (Diptera: Culicidae). In addition, the correlation between the main compounds and chemiometrics analysis were realized.
DOI: 10.6084/m9.figshare.c.3904495_d6.v1
title: Additional file 3: of Individual signatures and environmental factors shape skin microbiota in healthy dogs

description: OTU tables at genus level. A) OTU table at genus level including all the samples. B) OTU table at genus level collapsed by individual. C) OTU table at genus level collapsed by site. (XLSX 1070 kb)
DOI: 10.6084/m9.figshare.153939.v1
title: trajectory metadata

description: Data to be found in the data fileset, metadata for each experiment will also be produced and posted, see links. This is intended to become a repository for all data analysed with CeTrAn, an open source centroid trajetory analysis tool written in R (third link). The data will be uploaded while analysed (automatically), making it open by default. I am looking for people interested in developing the tool and the database structure. I am no specialist, not in R, not in database structures, but I so far managed to find help in the R community. Come and comment, your feedback is needed !!
DOI: 10.6084/m9.figshare.16645912.v1
title: Geographic isolation versus dispersal: Relictual alpine grasshoppers support a model of interglacial diversification with limited hybridization

description: <b>Samples.xlsx</b>: Description of individual and population codes used in the different analyses and genomic datasets.<br><b>Podisma_c85d5m20sh5_10000SNPs.str</b>: Input file (10,000 random SNPs) used to perform genetic clustering analyses (STRUCTURE) including all populations of <i>Podisma pedestris</i>, <i>P. carpetana</i>, and <i>P. cantabricae</i>.<br><b>Pedestris_c85d5m6sh2_10000SNPs.str</b>: Input file (10,000 random SNPs) used to perform genetic clustering analyses (STRUCTURE) for populations of <i>Podisma pedestris</i>.<br><b>Carpetana_c85d5m11sh3_10000SNPs.str</b>: Input file (10,000 random SNPs) used to perform genetic clustering analyses (STRUCTURE) for populations of <i>Podisma carpetana</i>.<br><b>Podisma_c85d5m20sh5_23333SNPs.str</b>: Input file (23,333 SNPs) used to perform principal component analyses (PCA) including all populations of <i>Podisma pedestris</i>, <i>P. carpetana</i>, and <i>P. cantabricae</i>.<br><b>Pedestris_c85d5m6sh2_11999SNPs.str</b>: Input file (11,999 SNPs) used to perform principal component analyses (PCA) for populations of <i>Podisma pedestris</i>.<br><b>Carpetana_c85d5m11sh3_13003SNPs.str</b>: Input file (13,003 SNPs) used to perform principal component analyses (PCA) for populations of <i>Podisma carpetana</i>.<br><b>Podisma_c85d5m20sh5.nex</b>: Input file (NEXUS format) used to perform phylogenomic analyses in SNAPP.<br><b>SVDQUARTETS.zip</b>: This ZIP folder contains the genetic datasets (NEXUS format) used to perform phylogenomic analyses in SVDQUARTETS.<br><b>PHYLONETWORKS.zip</b>: This ZIP folder contains the input files used to perform PHYLONETWORKS analyses.<br><b>TREEMIX.zip</b>: This ZIP folder contains the input files (TREEMIX format) used to perform phylogenomic analyses in TREEMIX.<br><b>DSTATISTICS.zip</b>: This ZIP folder contains the input files (LOCI format) used to perform <i>D</i>-statistic (ABBA/BABA) tests in PYRAD.<br><b>FASTSIMCOAL2.zip</b>: This ZIP folder contains input files for demographic analyses in FASTSIMCOAL2.<br><b>STAIRWAYPLOT.zip</b>: This ZIP folder contains input files for demographic reconstructions in STAIRWAYPLOT.<br><b>OccurrenceData.zip</b>: This ZIP folder contains occurrence data (CSV format) used for environmental niche modelling (ENM).
DOI: 10.6084/m9.figshare.20422494.v1
title: The enzymatic activities and physicochemical properties

description: The enzymatic activities and physicochemical properties
DOI: 10.6084/m9.figshare.23976966.v1
title: A small Jointly profiled 10X Genomics ATAC+GEX dataset on Human PBMCs

description: we will guide you through the process of inferring enhancer regulons, known as eRegulons, and enhancer-driven gene regulatory networks or eGRNs, utilizing the STREAM tool. Our demonstration leverages a select subset of data from the publicly accessible 10x Genomics Multiome dataset, specifically focusing on human Peripheral Blood Mononuclear Cells (PBMCs). For those interested in the comprehensive dataset, the raw data captured by the 10X Genomics Multiome ATAC+GEX can be downloaded directly from https://www.10xgenomics.com/resources/datasets/pbmc-from-a-healthy-donor-granulocytes-removed-through-cell-sorting-10-k-1-standard-1-0-0.
DOI: 10.6084/m9.figshare.3552291.v1
title: Appendix A. Schematic drawing of experimental set-up for testing.

description: Schematic drawing of experimental set-up for testing.
DOI: 10.6084/m9.figshare.26885002.v1
title: RMSE and Inter-trial Variability

description: Root mean squared error (RMSE) calculated between angular trajectories derived by upper extremity musculoskeletal models scaled with two different methods for nine subjects. Inter-trial variability was calculated as the standard deviation across up to 15 repetitions of center out reaching movements towards 14 target locations.
DOI: 10.6084/m9.figshare.11672769.v1
title: Supplementary Material for: Readmissions after Acute Kidney Injury during Left Ventricular Assist Device Implantation Hospitalization

description: <b><i>Background:</i></b> Acute kidney injury (AKI) frequently complicates hospitalizations for left ventricular assist device (LVAD) implantation. Little is known about the relationship of AKI with subsequent readmissions, and we investigated the relationship of AKI during LVAD implantation hospitalization with all-cause and cause-specific 30-day readmissions. <b><i>Methods:</i></b> We used a United States (US) nationwide all-payer administrative database, identifying patients who underwent implantable LVAD placement 2010–2015. Patients were classified into 3 mutually exclusive groups based on presence and severity of AKI during the LVAD placement hospitalization: no AKI, AKI, and AKI requiring dialysis (AKI-D). Outcomes were all-cause and cause-specific 30-day readmissions. <b><i>Results:</i></b> Within 30 days after discharge 25.4% of patients were readmitted. Of those without AKI, 23.9% were readmitted, compared to 25.5% of those with AKI and 42.2% of those with AKI-D. Compared to no AKI (adjusted for demographics, index hospitalization and chronic comorbidity factors, and year), odds of 30-day readmission were 2.18 (95% CI 1.37–3.49) times higher for those with AKI-D, whereas those with AKI not requiring dialysis had similar 30-day readmission risk (OR 1.03 [95% CI 0.89–1.20]). Those with AKI-D had higher risk of 30-day readmission for infection (OR 2.02 [95% CI 1.13–3.61]), gastrointestinal (GI) bleed (2.32 [95% CI 1.24–4.34]), and kidney disease (13.9 [95% CI 4.0–48]). There was no increased risk for stroke readmission with AKI or AKI-D. <b><i>Conclusion:</i></b> AKI-D was associated with highest ­30-day readmission risk, possibly related to negatively synergistic effects of LVAD, kidney dysfunction, and dialysis related factors on infection and GI bleeding risks. AKI alone was not associated with increased readmission risk.
DOI: 10.6084/m9.figshare.24438541.v1
title: cc_gas-liquid-solid

description: interfacial tension and contact angle of gas-liquid-solid
DOI: 10.6084/m9.figshare.27792873.v2
title: May 2024 Superstorm

description: This figshare repository contains the data required to reproduce the results presented in <i>Weiler et al. (2025): "First observations of a geomagnetic superstorm with a sub-L1 monitor".</i> The dataset includes the following resources:<br><br><br><b>Spacecraft Data</b>:ACE (real-time and science)STEREO-A (beacon)<br><br><b>OMNI Dataset</b>:Hourly resolution data (observed Dst)Minute resolution data (observed SYM-H)<br><br><b>Position Files</b>:Detailed position files for various spacecraft and planets<br><br><b>Solar Observations</b>:FITS files for studying active regions 13664 and 13667Movie showing the five solar eruptions in the AIA 171 filter<br><br><b>Remote Sensing Observations</b>:LASCO/C2 & C3STEREO-A/HI1<br><br><b>Outputs from the</b><b> </b><b>ELliptical Evolution (ELEvo) model</b><b>:</b>Movie visualizing the propagation of CMEs through the heliosphereText-files containing the arrival times and speeds of the CMEs at STEREO-A and L1Python ScriptsThe Python scripts used to generate the results in this study, along with detailed instructions for their usage, are available at this GitHub repository: https://github.com/EvaWeiler/may_2024_superstorm/.
DOI: 10.6084/m9.figshare.14321704.v1
title: Influence of electrospinning parameters on morphology and size of silk fibroin fibers

description: ABSTRACT The processing of silk fibroin (SF) by means of the electrospinning technique has opened a wide field of possibilities to generate fibrillar membranes at micro and nanometric scale, which together with the biocompatibility properties and outstanding mechanical properties of this protein, enhance its use in various engineering and biomedical applications. The electrospinning processes are subject to a large number of variables and the interactions between them, which in turn affects the morphological properties of the material obtained. In the present work we used SF from Colombian sericulture residues, dissolved in formic acid at 10% w/w, two electric field conditions were studied (R=1 and 2 kV/cm) at three distances (8, 10 and 12 cm) and under two flow conditions (0.05 and 0.1 mL/h). The fibrous membranes obtained were characterized by scanning electron microscopy (SEM); the images were analyzed with the ImajeJ software to establish the presence of beads defects, their diameters, and distributions. We found that the minor electric field R=1 decreased the appearance of defects. An analysis of variance (ANOVA) was performed under this condition and the comparison of means was made using the Tukey test (P &lt;0.05) for the variables that showed significant differences, using the statistical software R. The results indicate that the parameters with significant effect were the flow and the distance. Therefore, it was established that, among the variables studied, the results obtained with R=1 kV/cm, distance of 12 cm and flow of 0.1 mL/h, promoted the obtaining of fibrillar membranes with uniform nanometric diameters and without beads defects.
DOI: 10.6084/m9.figshare.28714940.v1
title: Data Set to: Integration of haptic virtual reality simulators in undergraduate dental curricula: A survey-based study in Gulf Cooperation Council Countries

description: <i>Background:</i><b> </b>The integration of haptic simulators in contemporary dental education has been reported to improve students’ hand-eye coordination and fine motor skills during pre-clinical education to facilitate a smooth transition to the clinical setting. The aim of this study was to assess the integration of haptic virtual reality simulation in undergraduate dental curricula in the Gulf Cooperation Council countries.<i>Methods:</i><b> </b>All dental schools offering undergraduate dental programs in the Gulf Cooperation Council countries were invited to participate in this cross-sectional study design. Data was collected using an online survey on a voluntary basis and analyzed using Microsoft Excel.<i>Results:</i><b> </b>Out of 34 dental schools, responses were received from 30 dental schools (response rate 88.2%). In terms of haptic integration, only two (6.7%) dental institutions have adopted haptic simulation in undergraduate dental education. However, a considerable proportion of schools (n=13, 46.4%) expressed an interest in the future use of haptic technology. The key strengths of HRVS included the integration of modern technology, opportunities for self-directed learning, development and consolidation of manual skills, and boosting self-confidence amongst undergraduate dental students. Financial cost and limited patient cases in the HRVS library were regarded as the main barriers to widespread use of this technology.<i>Conclusion:</i><b> </b>Although the Gulf Cooperation Council countries have strong economies with a high gross domestic product (GDP), only a limited number of dental schools have incorporated haptic technology in their curricula. Nevertheless, a high proportion of dental schools in the region are actively considering purchasing and implementation of haptic devices in undergraduate dental programs.
DOI: 10.6084/m9.figshare.19108361.v1
title: Data dictionary from: Gridded National Soil Survey Geographic Database (gNATSGO)

description: Data dictionary for Gridded National Soil Survey Geographic Database (gNATSGO). https://data.nal.usda.gov/node/23067<br>gNATSGO has a schema that is very similar to that of SSURGO and STATSGO2. A CSV version of the data dictionary is presented.<br>A data dictionary typically provides a detailed description for each element or variable in a dataset or data model. Data dictionaries are used to document important and useful information such as a descriptive name, the data type, allowed values, units, and text description.<br>Dataset citation: (dataset) <em>Soil Survey Staff. Gridded National Soil Survey Geographic (gNATSGO) Database for [State name -or- the Conterminous United States]. United States Department of Agriculture, Natural Resources Conservation Service. Available online at https://nrcs.app.box.com/v/soils. [Month, day, year] (FY[year] official release).</em>
DOI: 10.17866/rd.salford.13378985.v3
title: READ FIRST: Vital Signs

description: Read first document describing sequence in which to engage with portfolio.
DOI: 10.6084/m9.figshare.1136081_d296
title: Ex14R58 vGluT2-2 from Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.

description: This data represents repeated immunohistochemical staining and stripping (elution) cycles of an array tomography tissue ribbon from mouse barrel cortex following chessboard deprivation. Included are images from consecutive 70 nm serial sections aligned to produce a high-resolution volumetric reconstruction of a given antibody stain.
DOI: 10.6084/m9.figshare.24609027.v1
title: Supplementary Material for: Machine Learning Facial Emotion Classifiers in Psychotherapy Research. A proof-of-concept study.

description: Background: New advances in the field of machine learning make it possible to track facial emotional expression with high resolution, including micro-expressions. These advances have promising applications for psychotherapy research, since manual coding (e.g. the Facial Action Coding System [FACS]), is time-consuming. Purpose: We tested whether this technology can reliably identify in-session emotional expression in a naturalistic treatment setting, and how these measures relate to the outcome of psychotherapy. Method: We applied a machine learning emotion classifier to video material from 389 psychotherapy sessions of 23 patients with borderline personality pathology. We validated the findings with human ratings according to the Clients Emotional Arousal Scale (CEAS) and explored associations with treatment outcomes. Results: Overall, machine learning ratings showed significant agreement with human ratings. Machine learning emotion classifiers, particularly the display of positive emotions (smiling and happiness), showed medium effect size on median-split treatment outcome (d=0.3) as well as continuous improvement (r=0.49, p&lt;.05). Patients who dropped out form psychotherapy, showed significantly more neutral expressions, and generally less social smiling, particularly at the beginning of psychotherapeutic sessions. Conclusions: Machine learning classifiers are a highly promising resource for research in psychotherapy. The results highlight differential associations of displayed positive and negative feelings with treatment outcomes. Machine learning emotion recognition may be used for the early identification of drop-out risks and clinically relevant interactions in psychotherapy.