cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26777239.v1
title: Meteor Camera Images & Annotations - Sony IMX291

description: Meteor Camera Images and Annotation labels taken from a stationary Sony IMX29 camera.<br>I collected this data to make a Meteor Camera, I also labelled stars, satellites and seagulls.<br>For use in all areas of astronomy and astrometry. <br><br>Feel free to use, but please make sure I get credited.<br>I am using these cameras both with my own trained model and also with The Global Meteor Network's Software.
DOI: 10.60893/figshare.apl.28560626.v1
title: TLS fractional-frequency noise PSD measured at 1 kHz data

description: TLS fractional-frequency noise PSD measured at 1 kHz as a function of stored microwave energy measured in photon units for 18 resonators across five devices fabricated using recipes A and B, plotted in Figure 3.
DOI: 10.6084/m9.figshare.23585961.v2
title: Data

description: See Readme for details
DOI: 10.6084/m9.figshare.5125672.v1
title: Supplementary Material for: Invertebrate Models in Addiction Research

description: While drug addiction is a uniquely human problem, most research examining the biological mechanisms of the transition from substance use to addiction is conducted with vertebrate animal models. Many other fields of neuroscience have greatly benefitted from contributions from simple and manipulable invertebrate model systems. However, the potential of invertebrate research has yet to be fully capitalised on in the field of addiction neuroscience. This may be because of the complexity of addiction and the clinical imperative of addiction research. We argue that the homocentric diagnostic criteria of addiction are no more a hindrance to the use of invertebrate models than they are to vertebrate models. We highlight the strengths of the diversity of different invertebrate model systems in terms of neuroanatomy and molecular machinery, and stress that working with a range of different models will aid in understanding addiction and not be a disadvantage. Finally, we discuss the specific advantages of utilising invertebrate animals for addiction research and highlight key areas in which invertebrates are suited for making unique and meaningful contributions to this field.
DOI: 10.6084/m9.figshare.23098259.v1
title: TableS2_Clusters.xlsx

description: <strong>Table S2</strong>: sn-multiome-seq cluster annotations with differentially expressed genes and differentially accessible chromatin.
DOI: 10.6084/m9.figshare.11627067.v1
title: HKE Intonation as Indexical Markers of Identities

description: This article studies the social meaning of intonational variation in Hong Kong English (HKE) and its contribution to sociolinguistic research. In 21st-century, globalised Hong Kong, the local HKE accent, though still stigmatised, can be stylistically manipulated for indexical purposes through its prosody. Adopting a unified, variationist approach, the study examines how intonational variation in HKE from the global accent to the local accent is utilised as a marker of local identity. 36 university students, half HKE speakers and half non-HKE, are invited to perform 4 spontaneous dyad discussion tasks, on HK culture topics and neutral topics. The spontaneous use of local intonation by polycentric speakers with access to both accents is demonstrated to index social meanings such as highlighting their local identity and sounding sarcastic. Non-polycentric speakers, though confined to local intonation only, can switch from the core HKE tones to original Cantonese tones for similar purposes.
DOI: 10.6084/m9.figshare.21468684.v1
title: Density vs T NiFeC.xlsx

description: Variation of density (<em>ρ</em>) with the temperature of a FeNiC alloy, which is used to consider the transient variation of this property during simulations. This data is based on the results from dilatometry and data obtained from JMatPro and was fitted to different polynomial-type equations
DOI: 10.6084/m9.figshare.22211914.v1
title: A quantitative study of non-linearity in storytelling

description: Data accompanying the article, "A quantitative study of non-linearity in storytelling"
DOI: 10.6084/m9.figshare.28328789.v1
title: Senior-5 Rwandan Students’ Attitudes Pre-and Post-test Data from Colorado Learning Attitudes about Science Survey (CLASS) - A Systematic Physics Problem-Solving (SPPS) strategy

description: This dataset employed a pre-and post-test design to examine changes in students’ attitudes before and after implementing a Systematic Physics Problem-Solving (SPPS) strategy in teaching direct current to senior-five students in Rwanda. A total of 137 students from four secondary schools participated, with 73 students in the control group and 64 students in the experimental group. Data were collected using the Colorado Learning Attitudes about Science Survey (CLASS), adapted to assess students’ perspectives on physics learning. The files contain two sheets; one sheet contains both pre- and post-survey data, and another contains CLASS answers.
DOI: 10.6084/m9.figshare.14247200.v1
title: Supplementary Material for: Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare

description: <b><i>Background:</i></b> Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, and predicting renal flare and stratifying its risk are important for clinical decision-making and individualized management to reduce LN flare. <b><i>Methods:</i></b> We randomly divided 1,694 patients with biopsy-proven LN, who had achieved remission after treatment, into a derivation cohort (<i>n</i> = 1,186) and an internal validation cohort (<i>n</i> = 508), at a ratio of 7:3. The risk of renal flare 5 years after remission was predicted using an eXtreme Gradient Boosting (XGBoost) method model, developed from 59 variables, including demographic, clinical, immunological, pathological, and therapeutic characteristics. A simplified risk score prediction model (SRSPM) was developed from important variables selected by XGBoost model using stepwise Cox regression for practical convenience. <b><i>Results:</i></b> The 5-year relapse rates were 39.5% and 38.2% in the derivation and internal validation cohorts, respectively. Both the XGBoost model and the SRSPM had good predictive performance, with a C-index of 0.819 (95% confidence interval [CI]: 0.774–0.857) and 0.746 (95% CI: 0.697–0.795), respectively, in the validation cohort. The SRSPM comprised 6 variables, including partial remission and endocapillary hypercellularity at baseline, age, serum Alb, anti-dsDNA, and serum complement C3 at the point of remission. Using Kaplan-Meier analysis, the SRSPM identified significant risk stratification for renal flares (<i>p</i> &lt; 0.001). <b><i>Conclusions:</i></b> Renal flare of LN can be readily predicted using the XGBoost model and the SRSPM, and the SRSPM can also stratify flare risk. Both models are useful for clinical decision-making and individualized management in LN.
DOI: 10.15468/dl.88h5wm
title: Occurrence Download

description: A dataset containing 2905 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 Heliothis peltigera (Denis & Schiffermüller), 1775"
 ]
}

 The dataset includes 2905 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009601-250426092105405/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.27273294.v1
title: Accumulated deforestation in the Cerrado Biome (1999 to 2019)

description: This dataset consists of a series of geospatial files representing accumulated deforestation data within each 28 km grid cell across the Cerrado biome for the years 1999 to 2019. Each raster file (in .tif format) corresponds to a specific year and captures the cumulative deforestation extent for that period. These raster files can be analyzed to visualize and quantify changes in land cover over time, offering crucial insights into the impacts of deforestation in this ecologically significant region.We calculated the extent of native vegetation loss between 1999 and 2019 using the land-use and land-cover classification dataset from the MapBiomas project, collection 7 (mapbiomas.org). To match the land-use and land-cover change data with the climate data, we transformed MapBiomas maps into a time-series of accumulated percentage of forest loss per grid cell, at a spatial resolution of 28×28 km. Finally, the spatial allocation of soy-maize double cropping is performed<i> </i>using the Otimizagro model, a spatially explicit model that simulates land use and land-use changes, including agriculture, forestry, native vegetation loss, and regeneration, under scenarios of agricultural land demand and Brazilian environmental policies.Description of Files<b>TIF Files:</b> Each <code>.tif</code> file, such as <code>desmatamento_1999.tif</code>, stores spatial data reflecting the accumulated deforestation for the respective year. These files contain the pixel values that quantify deforestation extent and can be analyzed using GIS software to explore spatial patterns and trends across the Cerrado.<b>XML Auxiliary Files (.tif.aux.xml):</b> These small <code>.xml</code> files serve as auxiliary metadata files accompanying each raster file. They typically provide additional metadata or parameters used by some GIS applications to properly render or process the raster data.Usage and AnalysisThe dataset is critical for:<b>Monitoring Deforestation Trends:</b> By comparing raster files year-over-year, stakeholders can assess the rate and extent of deforestation, identifying hotspots and temporal trends in land cover change.<b>Policy and Conservation Planning:</b> The data provides evidence needed to inform conservation strategies and policymaking efforts aimed at protecting the Cerrado's biodiversity while balancing land use demands.<b>Research and Environmental Impact Studies:</b> Researchers can leverage this data to model environmental impacts, evaluate ecological risks, and develop sustainable land-use practices.Software for Viewing and AnalysisTo visualize and analyze these raster files, consider using free and open-source GIS software such as QGIS. QGIS supports <code>.tif</code> files and allows for sophisticated geospatial analysis and visualization, making it an invaluable tool for interpreting deforestation data in the Cerrado.In summary, this dataset forms a comprehensive record of deforestation in the Cerrado over two decades, offering a vital resource for understanding and addressing environmental challenges in this critical biome.
DOI: 10.6084/m9.figshare.807681.v11
title: Supervision and guidance during the process of essay writing in the life sciences

description: Many years of supervision in essay writing have led to a strategy that has worked for many students and is based on a clearly structured schedule of events. It is highly effective, saves the student's and supervisor's time, and it provides opportunities to give high quality feedback and detailed guidance at appropriate stages of the writing process. Any feedback given during this process is cost neutral for the student, i.e. will not be considered when deciding the final mark, since the student performs the final write-up phase independently and has therefore sufficient opportunity to show his/her abilities and understanding. Notably, the structured approach applied here presents a transferable skill that will improve the student's performance also during exam essay writing.
DOI: 10.6084/m9.figshare.7140347.v1
title: Evaluation of imputation accuracy using the combination of two high density panels in Nelore beef cattle

description: Files used to produce the results in the paper "Evaluation of imputation accuracy using the combination of two high density panels in Nelore beef cattle". There are genotype files in Plink format after quality control (three files - *.bed,*.bim and *.fam) for each panel used in the analysis.
DOI: 10.6084/m9.figshare.8230526.v1
title: Supplementary Material for: Sexual Dimorphism of a Genetic Risk Score for Obesity and Related Traits among Chinese Patients with Type 2 Diabetes

description: <b><i>Background:</i></b> Obesity is more prevalent in men than in women in China, especially within the middle-aged population. <b><i>Objectives:</i></b> The present study aims to determine the contribution of sexual dimorphisms to obesity and related traits in terms of the mechanisms involving the obesity-related genetic variants among patients of Chinese Han ancestry with type 2 diabetes. <b><i>Method:</i></b> In the Chinese National Diabetes and Metabolic Disorders Study, 2,555 out of 4,036 patients with type 2 diabetes were treatment naive, including 1,142 men and 1,413 women. Single-nucleotide polymorphisms (SNP) from 18 genomic loci previously found to be associated with obesity-related traits were successfully genotyped, and a genetic risk score (GRS) was constructed by summing the risk alleles for obesity. <b><i>Results:</i></b> Single SNP analysis showed that genetic variants in <i>SLC30A10,</i> <i>TMEM18, GNPDA2,</i> <i>PRL,</i> <i>TFAP2B,</i> <i>BDNF,</i> <i>MTCH2,</i> <i>FTO,</i> and <i>MC4R</i> were nominally associated with waist circumference (WC), BMI, and risk for abdominal or general obesity in the untreated patients with type 2 diabetes, as well as in the total group of patients with type 2 diabetes (untreated and treated) (<i>p</i> &lt; 0.05). Interactions between sex and SNP in <i>PRL,</i> <i>MTCH2,</i>and <i>FTO</i> were detected (<i>p</i> &lt; 0.05). In the untreated patients with diabetes, the GRS was nominally associated with WC (β = 0.0032, SE = 0.0011; <i>p</i> = 0.003), BMI (β = 0.0030, SE = 0.0013; <i>p</i> = 0.027), and increased risk for abdominal (OR = 1.08; 95% CI 1.02–1.13; <i>p</i> = 0.004) or general obesity (OR = 1.07; 95% CI 1.02–1.13; <i>p</i> = 0.011) in men but not in women. GRS-sex interactions were detected in the determinant of WC (<i>p</i> = 0.019) and abdominal obesity (<i>p</i> = 0.016). Among patients aged 30–60 years, GRS was found to be significantly associated with WC (β = 0.0050, SE = 0.0016; <i>p</i> = 0.002) and abdominal obesity (OR = 1.10; 95% CI 1.04–1.17; <i>p</i> = 0.001) and nominally associated with BMI (β = 0.0057, SE = 0.0020; <i>p</i> = 0.005) and general obesity (OR = 1.07; 95% CI 1.01–1.14; <i>p</i> = 0.027) in men, whereas in women none of the associations were detected. GRS-sex interactions were present in the determinant of WC (<i>p</i> = 0.015), BMI (<i>p</i> = 0.032), and abdominal obesity (<i>p</i> = 0.012). Among patients aged 60 years or older, neither an association of GRS with obesity-related traits nor GRS-sex interactions were detected. <b><i>Conclusions:</i></b> Genetic factors contribute to obesity-related traits in a sex-dependent pattern among middle-aged Chinese, and men tend to be more susceptible to the genetic risk of obesity.
DOI: 10.6084/m9.figshare.13530911.v1
title: Monitoring in-situ seismic response on rock slope with ambient noise interferometry: Application to the 2019 Changning (Mw 5.7) Earthquake, China

description: the dataset support for the the paper"Monitoring in-situ seismic response on rock slope with ambient noise interferometry: Application to the 2019 Changning (Mw 5.7) Earthquake, China"
DOI: 10.6084/m9.figshare.17060237.v1
title: Dataset Osteocalcin

description: Data set
DOI: 10.15482/usda.adc/1504029
title: Frankliniella occidentalis Official Gene Set OGSv1.0
DOI: 10.17866/rd.salford.24192219.v1
title: <b>Facial Emotion Recognition Datasets for YOLOv8 Annotation</b>

description: <b>Computer Vision Scientist-Collected Dataset:</b>This facial emotion recognition dataset has been meticulously curated by computer vision scientists using mobile phone cameras to capture candid moments of individuals expressing a spectrum of emotions, including Happy, Sad, Fear, and Humor. The dataset comprises a rich collection of images with diverse angles and backgrounds, providing a realistic portrayal of human emotional expression.<b>Marketing Expert-Collected Dataset:</b>The ethnicity-focused dataset for facial recognition has been meticulously assembled by marketing experts, aiming to shed light on the vital aspect of ethnicity variations in computer vision. With a dedicated focus on ethnicity, this dataset provides a unique perspective for training and testing facial recognition models in an ethnically diverse context.This dataset comprises a rich collection of images capturing individuals from various ethnic backgrounds. It emphasises the importance of ethnicity in the field of computer vision and includes a wide range of facial features, expressions, and poses, thereby enriching the dataset's diversity.By offering insights into the critical area of ethnicity in computer vision, this dataset is a valuable addition to the toolkit of researchers and practitioners, facilitating the development of more inclusive and accurate facial recognition models.Researchers and experts in the fields of computer vision and marketing are encouraged to explore these datasets for their research, model development, and the advancement of understanding in these respective domains.
DOI: 10.6084/m9.figshare.3556563.v1
title: Appendix B. Additional figures on body temperature and behavior patterns of White-browed Sparrow-Weavers (Plocepasser mahali).

description: Additional figures on body temperature and behavior patterns of White-browed Sparrow-Weavers (Plocepasser mahali).
DOI: 10.6084/m9.figshare.28269386.v1
title: Supplementary Material for: cord blood metabolite profiles and childhood cardio-metabolic outcomes in a population-based cohort

description: Introduction: Adverse exposures in utero might cause adaptations of cardiovascular and metabolic organ development, predisposing individuals to an adverse cardio-metabolic risk profile from childhood onwards. We hypothesized that adaptations in metabolic pathways underlie these associations and examined associations of metabolite profiles at birth with childhood cardio-metabolic risk factors. 
Methods: The study included 763 mother-child pairs participating in an ongoing population-based prospective cohort study with an overall low disease risk. Cord blood serum concentrations of amino acids (AA), non-esterified fatty acids (NEFA), phospholipids (PL) and carnitines (Carn) were obtained using a liquid chromatography coupled with tandem mass-spectrometry. We measured android/gynoid fat mass ratio, blood pressure, insulin, and lipid concentrations at the children’s age of 5.9 (0.3) and 9.8 (0.9) years. 
Results: We did not observe associations of cord blood metabolites with systolic or diastolic blood pressure, insulin, triglycerides and android/gynoid fat mass ratio at both ages and cardio-metabolic risk clustering at age 10 years. Five short- and medium-chain Carn.a metabolites were positively associated with cardio-metabolic risk clustering at age 6 but did not survive more stringent confounder adjustment. 
Conclusion: No consistent associations between cord blood metabolites and cardiovascular risk factors at school age were observed.
DOI: 10.6084/m9.figshare.28239221.v1
title: Supplementary Material for: Analysis of Functional Cis-regulatory Elements Reveals Novel Transcriptional Regulatory Mechanisms in Gonadal Development

description: Recent studies have demonstrated that the production of bidirectional enhancer-derived transcripts (eRNAs) is a characteristic of an active Cis-regulatory element (CRE). Higher levels of eRNA synthesis correlate with the activation of histone modifications, a potentially valuable tool for deciphering the complexity of the gene regulatory network. 
To understand the changes of CREs during gonadal development in mice, we collected gonadal WT1-positive cells from the piggyBac-Wt1-mCherry-2A-EGFP (PBWt1-RG) reporter strain at E13.5, E16.5, and P0 in both sexes and conducted Cap Analysis of Gene Expression analysis (CAGE) which is capable to capture transcriptional starting site (TSS). We compared the levels of intergenic bidirectional RNA, i.e, potentially eRNA, according to sex at each stage (testis somatic cells vs ovary somatic cells at E13.5, E16.5, and P0) and stage in each sex (E13.5 vs E16.5, E16.5 vs P0, and E13.5 vs P0 in testis somatic cells or ovary somatic cells). Intergenic RNAs with significant changes (|Log2FC| &gt; 1, p &lt; 0.05) were selected.
The TSS profile of intergenic RNA changed more profoundly in testis somatic cells than in ovary somatic cells, suggesting embryonic testicular development is driven by larger changes in a transcriptional regulatory network than ovarian development. Based on the profiles of the predicted transcription factors (TFs) that would bind to the active CREs during gonadal development, the NR4A, EGR, and TCF3 families would be novel TFs to play pivotal roles in gonadal development. 
Identifying active CREs using eRNAs would provide a means to comprehensively understand the transcriptional regulatory system, leading to valuable insights into the gonadal development of male and female individuals.
DOI: 10.6084/m9.figshare.5121604.v1
title: Supplementary Material for: Large Umbilical Artery Aneurysm with a Live Healthy Baby Delivered at 31 Weeks

description: Umbilical artery aneurysm is a rare structural anomaly. We report a case of a large cord mass monitored closely with MCA PSV aiding the decision for delivery in an appropriately grown fetus.
DOI: 10.6084/m9.figshare.21270261.v2
title: 30m PALSAR-2/Landsat-based Forest and Evergreen Forest maps in CONUS from 2015 to 2017

description: This dataset provides annual 30-m forest cover maps and annual 30-m evergreen forest cover maps in the Contiguous United States (CONUS) from 2015 to 2017. This dataset was generated based on the PALSAR-2 and Landsat images. The forest pixels are valued as 1. In the evergreen forest maps, the value of 1 was used to present evergreen forest pixels. The maps are stored in a GeoTIFF formatted unsigned integer. Each map has one band using a spatial reference of GCS-WGS_1984.