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Dataset for: Smoking does not accelerate leukocyte telomere attrition: a meta-analysis of 18 longitudinal cohorts
<p>Summary dataset (.csv file) and R script (.R file) for the manuscript entitled:</p> <p>Smoking does not accelerate leukocyte telomere attrition: a meta-analysis of 18 longitudinal cohorts.</p> <p>The column names are explained at the beginning of the R script.</p> <p> </p>
Large-scale longitudinal gradients of genetic diversity: a meta-analysis across six phyla in the Mediterranean basins
Predicting patterns of variation in biodiversity across the globe is a fundamental issue in ecology and evolution. Diversity within species, that is, genetic diversity, is of prime importance for understanding past and present evolutionary patterns, and highlighting areas where conservation might be a priority. However, most studies on spatial patterns of genetic diversity have not considered longitude as a potentially important ecological driver of these patterns. Therefore, we carried out a meta-analysis to examine the longitudinal patterns of genetic diversity in the Mediterranean Basin. Using published literature and a systematic review/meta-analysis framework, we collected data on the genetic diversity of species whose populations occur in the Mediterranean basin. We then calculated a coefficient of correlation between within‐population genetic diversity indices and longitude, and estimated the role of biological, ecological, biogeographic, and marker type factors on the strength and magnitude of this correlation in six phylla. The results of this study were published in the paper titled Large‐scale longitudinal gradients of genetic diversity: a meta‐analysis across six phyla in the Mediterranean basin (Conord et al. 2012).
Replication Package of Understanding Developers Well-Being and Productivity: a 2-year Longitudinal Analysis during the COVID-19 Pandemic
<p>The COVID-19 pandemic has brought significant and enduring shifts in various aspects of life, including increased flexibility in work arrangements. In a longitudinal study, spanning 24 months with six measurement points from April 2020 to April 2022, we explore changes in well-being, productivity, social contacts, and needs of software engineers during this time. Our findings indicate systematic changes in various variables. For example, well-being and quality of social contacts increased while emotional loneliness decreased as lockdown measures were relaxed. Conversely, people's boredom and productivity, remained stable. Furthermore, a preliminary investigation into the future of work at the end of the pandemic revealed a consensus among developers for a preference of hybrid work arrangements. We also discovered that prior job changes and low job satisfaction were consistently linked to intentions to change jobs if current work conditions do not meet developers' needs. This highlights the need for software organizations to adapt to various work arrangements to remain competitive employers. Building upon our findings and the existing literature, we introduce the Integrated Job Demands-Resources and Self-Determination (IJARS) Model as a comprehensive framework to explain the well-being and productivity of software engineers during the COVID-19 pandemic.</p>
Figure 4. Longitudinal section through I4 and transverse section through smaller I3. e in Microscopic analysis of the developing dentition in the pouch young of the extinct marsupial Thylacinus cynocephalus, with an assessment of other developmental stages and eruption
Figure 4. Longitudinal section through I4 and transverse section through smaller I3. e, disrupted enamel.
Pergola: boosting visualization and analysis of longitudinal data by unlocking genomic analysis tools - Mouse feeding behavior dataset
<p>Dataset contains feeding and drinking behavioral recordings of C57BL6/J male mice. Mice were distributed into 2 groups (9 control mice and 8 high-fat diet mice) and tracked individually on Phecomp cages for 9 weeks. During the first experimental week all animals were given <em>ad libitum</em> access to a standard chow (habituation phase). After this first week, control mice continued with the same diet regime while high-fat mice were exclusively given <em>ad libitum</em> access to a high-fat chow. Data was used originally in this publication <a href="http://onlinelibrary.wiley.com/doi/10.1111/adb.12595/abstract">10.1111/adb.12595.</a></p> <p>The data set consist in:</p> <p>- a "mouse_recordings" folder containing a CSV file containing mouse recordings and the files.</p> <p>- a "mappings" folder containing all the mappings used by the pergola in the pipeline to convert data.</p> <p>- a "phases" folder containing a CSV file containing experimental phases.</p> <p>- a "chromHMM_files" folder containing a cellmarkfiletable table used by chromHMM to learn a HMM model</p>
Pergola: boosting visualization and analysis of longitudinal data by unlocking genomic analysis tools - D. melanogaster behavior dataset obtained with JAABA
<p>Dataset contains <em>Drosophila melanogaster </em>behavioral annotations of chasing. The dataset is formed by 20 GAL4 line flies group from a TrpA activation screen with increased propensity to chasing and by 19 pBDPGAL4U line (control) flies group. Ctrax motor trajectories derived from the original video-recordings (1000 seconds) were downloaded from this <a href="https://sourceforge.net/projects/jaaba/files/Sample%20Data/sampledata_v0.1.zip/download">link</a> and used to obtain the chasing behavioral annotations using <a href="http://jaaba.sourceforge.net/">JAABA</a> <a href="https://www.nature.com/articles/nmeth.2281">10.1038/nmeth.2281</a>: </p> <p>The data set consist in:</p> <p>- a "mappings" folder containing all the mappings used by the pergola in the pipeline to convert data.</p> <p>- a "perframe_TrpA" folder containing mat files with three Ctrax derived variables (dnose2ell, dtheta and velmag) from the motor trajectories of the GAL4 line.</p> <p>- a "perframe_pBDPGAL4" folder containing mat files with three Ctrax derived variables (dnose2ell, dtheta and velmag) from the motor trajectories of the control line.</p> <p>- a "scores" folder including the JAABA chasing annotations in two mat file one for each fly line.</p>
Text-fig. 50. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of a flower and mature carpels of Reyanthus lusitanicus gen. et sp. nov.; Torres Vedras locality, Portugal. a) Holotype; multicarpellate flower showing numerous carpels surrounded by remains of the androecium and perianth; note the bract subtending the flower (arrowhead); b, c) Longitudinal sections perpendicular to section in (f) (b, SRXTM orthoslice xz0461) and (c, SRXTM cut voltex xz0540-0580) showing receptacle, carpels and remains of the androecium and perianth; note prominent cavities formed by the oil cells, subtending bract (arrow) and bract subtending fragmentary bud (arrowhead); d, e) Apical (d) and lateral (e) views of gynoecium showing laterally flattened carpels and dorsi-ventrally flattened stamen or staminode (* in e); f) Longitudinal section (SRXTM orthoslice yz0405) of gynoecium showing conical receptacle and carpels with densely spaced oil cells; g, h) Mature carpel of Reyanthus lusitanicus gen. et sp. nov. showing slightly curved form, rounded apex and base that tapers toward the attachment to the receptacle; i) Surface of carpel showing embedded oil cells; j) Transverse section through three carpels showing attachment of developing ovules near the ventral sutures and oil cells in the wall just below the surface (SRXTM cut voltex xy0770-0845). Specimens TV299-S136716 (holotype; a–f), TV299-S136717 (g–j). Scale bars 300 Μm (a–d, f–h), 150 Μm (e, j), 30 Μm (i). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 50. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of a flower and mature carpels of Reyanthus lusitanicus gen. et sp. nov.; Torres Vedras locality, Portugal. a) Holotype; multicarpellate flower showing numerous carpels surrounded by remains of the androecium and perianth; note the bract subtending the flower (arrowhead); b, c) Longitudinal sections perpendicular to section in (f) (b, SRXTM orthoslice xz0461) and (c, SRXTM cut voltex xz0540-0580) showing receptacle, carpels and remains of the androecium and perianth; note prominent cavities formed by the oil cells, subtending bract (arrow) and bract subtending fragmentary bud (arrowhead); d, e) Apical (d) and lateral (e) views of gynoecium showing laterally flattened carpels and dorsi-ventrally flattened stamen or staminode (* in e); f) Longitudinal section (SRXTM orthoslice yz0405) of gynoecium showing conical receptacle and carpels with densely spaced oil cells; g, h) Mature carpel of Reyanthus lusitanicus gen. et sp. nov. showing slightly curved form, rounded apex and base that tapers toward the attachment to the receptacle; i) Surface of carpel showing embedded oil cells; j) Transverse section through three carpels showing attachment of developing ovules near the ventral sutures and oil cells in the wall just below the surface (SRXTM cut voltex xy0770-0845). Specimens TV299-S136716 (holotype; a–f), TV299-S136717 (g–j). Scale bars 300 Μm (a–d, f–h), 150 Μm (e, j), 30 Μm (i).
Text-fig. 24. Scanning electron microscope (SEM) images (a, c, d) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images (b, e) of fruits and seeds of Serialis antiqua (a, b) and Serialis parva (c–e); Torres Vedras locality, Portugal. a, b) Serialis antiqua lateral view of fruit showing smooth partly abraded fruit wall (a) and longitudinal section (b, SRXTM orthoslice yz0862) showing six closely adhering seeds, some of which are mature with well-preserved nutritive tissue; c–e) Serialis parva lateral view of fruit showing faint ribs (c), finely pitted seed surface with undulate anticlinal walls of the exotestal cells (d), and transverse section showing two closely adhering seeds (SRXTM orthoslice xy0913, e). Specimens, TV43-S174480 (a, b), TV43-S170076 (c), TV43-S170079 (d), TV43-S174477 (e). Scale bars 300 Μm (a–c, e), 50 Μm (d). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 24. Scanning electron microscope (SEM) images (a, c, d) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images (b, e) of fruits and seeds of Serialis antiqua (a, b) and Serialis parva (c–e); Torres Vedras locality, Portugal. a, b) Serialis antiqua lateral view of fruit showing smooth partly abraded fruit wall (a) and longitudinal section (b, SRXTM orthoslice yz0862) showing six closely adhering seeds, some of which are mature with well-preserved nutritive tissue; c–e) Serialis parva lateral view of fruit showing faint ribs (c), finely pitted seed surface with undulate anticlinal walls of the exotestal cells (d), and transverse section showing two closely adhering seeds (SRXTM orthoslice xy0913, e). Specimens, TV43-S174480 (a, b), TV43-S170076 (c), TV43-S170079 (d), TV43-S174477 (e). Scale bars 300 Μm (a–c, e), 50 Μm (d).
Text-fig. 12. Scanning electron microscope (SEM) images of pollen of Sergipea sp. from a group of probable fragmentary pollen sacs; Torres Vedras locality, Portugal. a) Cluster of probable fragmentary pollen sacs that yielded the pollen in this Text-figure; b, c) Pollen grains showing the robust longitudinal ribs separated by prominent areas of granular exine; note the groove along the margins of the longitudinal ribs (arrowheads); d) Pollen grain showing the granular exine flanked by two robust ribs; note the groove along the margins of the longitudinal ribs (arrowheads). Specimen, TV44-S148012 (a–d). Scale bars 150 Μm (a), 12 Μm (c), 6 Μm (b, d). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 12. Scanning electron microscope (SEM) images of pollen of Sergipea sp. from a group of probable fragmentary pollen sacs; Torres Vedras locality, Portugal. a) Cluster of probable fragmentary pollen sacs that yielded the pollen in this Text-figure; b, c) Pollen grains showing the robust longitudinal ribs separated by prominent areas of granular exine; note the groove along the margins of the longitudinal ribs (arrowheads); d) Pollen grain showing the granular exine flanked by two robust ribs; note the groove along the margins of the longitudinal ribs (arrowheads). Specimen, TV44-S148012 (a–d). Scale bars 150 Μm (a), 12 Μm (c), 6 Μm (b, d).
Text-fig. 19. Scanning electron microscope (SEM; d, e) and synchrotron radiation X-ray tomographic microscopy (SRXTM; a–c) images of a seed of Kvacekispermum costatum sp. nov. (a–c) and Kvacekispermum sp. (d, e); Torres Vedras locality, Portugal. a, b) Isolated, abraded seeds showing densely spaced longitudinal ridges; c) Detail of abraded seed in (b) showing surface of endotesta with imprints of crystals; d) Isolated, abraded seed showing longitudinal ridges; e) Abraded seed surface showing surface of endotesta with imprints of crystals. Specimens, TV44-S174098 (holotype; a), TV38-S174099 (b, c), TV43-S174612 (d, e). Scale bars 300 Μm (a, b, d), 50 Μm (c, e). in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 19. Scanning electron microscope (SEM; d, e) and synchrotron radiation X-ray tomographic microscopy (SRXTM; a–c) images of a seed of Kvacekispermum costatum sp. nov. (a–c) and Kvacekispermum sp. (d, e); Torres Vedras locality, Portugal. a, b) Isolated, abraded seeds showing densely spaced longitudinal ridges; c) Detail of abraded seed in (b) showing surface of endotesta with imprints of crystals; d) Isolated, abraded seed showing longitudinal ridges; e) Abraded seed surface showing surface of endotesta with imprints of crystals. Specimens, TV44-S174098 (holotype; a), TV38-S174099 (b, c), TV43-S174612 (d, e). Scale bars 300 Μm (a, b, d), 50 Μm (c, e).
Text-fig. 17. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of a fruit of Canrightia elongata sp. nov. (a–g) and isolated Canrightia-like seeds (h–j); Torres Vedras locality, Portugal. a–c) Holotype; fruit in lateral view showing four fused tepals at the base (c, upper arrowheads) and prominent cavities in the fruit wall formed by scattered oil bodies and possible subtending bract (c, lower arrowhead); d) Transverse section (SRXTM orthoslice xy1510) through the fruit showing three locules, one with the remains of the endothelium (top left, 1), the other two (2, 3) with remains of presumed endosperm tissue; note that the locule to the right (3) is crushed; e, f) Radial longitudinal (e; SRXTM orthoslice xz1212) in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 17. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of a fruit of Canrightia elongata sp. nov. (a–g) and isolated Canrightia-like seeds (h–j); Torres Vedras locality, Portugal. a–c) Holotype; fruit in lateral view showing four fused tepals at the base (c, upper arrowheads) and prominent cavities in the fruit wall formed by scattered oil bodies and possible subtending bract (c, lower arrowhead); d) Transverse section (SRXTM orthoslice xy1510) through the fruit showing three locules, one with the remains of the endothelium (top left, 1), the other two (2, 3) with remains of presumed endosperm tissue; note that the locule to the right (3) is crushed; e, f) Radial longitudinal (e; SRXTM orthoslice xz1212)
Text-fig. 14. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Gastonispermum antiquum sp. nov. (a–e) and possible fruits (f–h); Torres Vedras locality, Portugal. a–c) Lateral view of seeds (holotype figured in b) showing the hilar-micropylar area and the course of the raphe; note the close association of hilum (arrowhead) and micropyle; d) Detail of seed wall showing the undulating surface of the exotesta composed of cells with sinuous cell outlines; e) Longitudinal section (orthoslice xy0914) through the hilar-micropylar area showing the hilum (arrowhead), the thickening of the endotesta around the micropyle and the course of the raphe within the exotesta (arrow); f–h) Fruits containing in The Early Cretaceous Mesofossil Flora Of Torres Vedras (Ne Of Forte Da Forca), Portugal: A Palaeofloristic Analysis Of An Early Angiosperm Community
Text-fig. 14. Scanning electron microscope (SEM) and synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Gastonispermum antiquum sp. nov. (a–e) and possible fruits (f–h); Torres Vedras locality, Portugal. a–c) Lateral view of seeds (holotype figured in b) showing the hilar-micropylar area and the course of the raphe; note the close association of hilum (arrowhead) and micropyle; d) Detail of seed wall showing the undulating surface of the exotesta composed of cells with sinuous cell outlines; e) Longitudinal section (orthoslice xy0914) through the hilar-micropylar area showing the hilum (arrowhead), the thickening of the endotesta around the micropyle and the course of the raphe within the exotesta (arrow); f–h) Fruits containing
Fig. 4 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 4. Ordination diagram from Canonical Correspondence Analysis of the abundance of the 14 most numerous species with abiotic variables. Zone codes: 1 = Zone 1; 2 = Zone 2; 3 = Zone 3; and 4 = Zone 4. Species codes: Aspar = Astyanax parahybae; Astbim = Astyanax cf. bimaculatus; Cickel = Cichla kelberi; Geobra = Geophagus brasiliensis; Hopmal = Hoplias malabaricus; Hypaur = Hypostomus auroguttatus; Hoplit = Hoplosternum littorale; Hypaff = Hypostomus affinis; Lepcop = Leporinus copelandii; Lepcon = Leporinus conirostris; Metmac = Metynnis maculatus; Olihep = Oligosarcus hepsetus; Pimmac = Pimelodus maculatus; Plasqu = Plagioscion squamosissimus.
Fig. 3 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 3. Spatial variation in species number and biomass by zone (1, 2, 3, 4) in Paraíba do Sul River and Funil Reservoir.
Fig. 1 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 1. Paraíba do Sul River - Funil Reservoir system. The four sampled zones are shown (1 = Zone 1; 2 = Zone 2; 3 = Zone 3, and 4 = Zone 4).
Fig. 2 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 2. Individual-based rarefaction curves by zone (1, 2, 3, 4) for species richness in the Paraíba do Sul River and Funil Reservoir.
Longitudinal analysis of the microbiome and metabolome in the 5xfAD mouse model of Alzheimer's disease
Open the record for dataset details and reuse information.
Exploratory analysis using machine learning of predictive factors for falls in persons with type 2 diabetes: A Longitudinal Study
<p>The risk of falls in elderly individuals with diabetes was reported to be 1.5 - 3 times higher than in those without diabetes. However, it is not clear what risk factors are strongly related to falls in those with diabetes. In this study, we aimed to investigate the status of falls and to identify important risk factors for falls in persons with type 2 diabetes (T2D) including the non-elderly. Participants were 316 persons with T2D who were admitted to the University of Tsukuba Hospital for treatment of diabetes. They were assessed for medical history, laboratory data and physical capabilities during the hospitalization and were given a questionnaire on falls one year after discharge. Two different statistical models, logistic regression and random forest classifier, were used to investigate important predictors of falls. The response rate to the survey was 72%; of the 226 respondents, there were 129 males and 97 females (median age 62 years). The fall rate during the first year after discharge was 19% and increased with age; fall rates were 17% for those <60 years, 20% for those aged 60 – 69 years and 24% for those ≥70 years. Logistic regression revealed that knee extension strength (β= -0.698, P = 0.002), fasting C-peptide (F-CPR) level (β= 0.492, P = 0.009) and dorsiflexion strength (β= -0.432, P = 0.047) were independent predictors of falls. The random forest classifier placed knee extension strength (covariate importance = 0.304), grip strength (0.234), F-CPR level (0.232) and dorsiflexion strength (0.230) in the top 4 important variables for falls. The rate of falls in persons with T2D was high even in middle age. Lower extremity muscle weakness as well as elevated F-CPR levels and reduced grip strength were shown to be important risk factors for falls in T2D.</p>
Data for manuscript: "Longitudinal Analysis of Sentiment and Emotion in News Media Headlines Using Automated Labelling with Transformer Language Models"
<p>This data set contains automated sentiment and emotionality annotations of 23 million headlines from 47 popular news media outlets popular in the United States. </p> <p>The set of 47 news media outlets analysed (listed in Figure 1 of the main manuscript) was derived from the AllSides organization <a href="https://www.allsides.com/blog/updated-allsides-media-bias-chart-version-11">2019 Media Bias Chart v1.1</a>. The human ratings of outlets’ ideological leanings were also taken from this chart and are listed in Figure 2 of the main manuscript. </p> <p>News articles headlines from the set of outlets analyzed in the manuscript are available in the outlets’ online domains and/or public cache repositories such as The Internet Wayback Machine, Google cache and Common Crawl. Articles headlines were located in articles’ HTML raw data using outlet-specific XPath expressions. </p> <p>The temporal coverage of headlines across news outlets is not uniform. For some media organizations, news articles availability in online domains or Internet cache repositories becomes sparse for earlier years. Furthermore, some news outlets popular in 2019, such as <em>The Huffington Post</em> or <em>Breitbart</em>, did not exist in the early 2000’s. Hence, our data set is sparser in headlines sample size and representativeness for earlier years in the 2000-2019 timeline. Nevertheless, 18 outlets in our data set have chronologically continuous partial or full headline data availability fulfilling our inclusive criteria (see manuscript Methods) since the year 2000. Figure S 1 in the SI reports the number of headlines per outlet and per year in our analysis.</p> <p>In a small percentage of articles, outlet specific XPath expressions might fail to properly capture the content of the headline due to the heterogeneity of HTML elements and CSS styling combinations with which articles text content is arranged in outlets online domains. After manual testing, we determined that the percentage of headlines following in this category is very small. Additionally, our method might miss detecting some articles in the online domains of news outlets. To conclude, in a data analysis of over 23 million headlines, we cannot manually check the correctness of every single data instance and hundred percent accuracy at capturing headlines’ content is elusive due to the small number of difficult to detect boundary cases such as incorrect HTML markup syntax in online domains. Overall however, we are confident that our headlines set is representative of headlines in print news media content for the studied time period and outlets analyzed.</p> <p>The list of compressed files in this data set is listed next:</p> <p>-analysisScripts.rar contains the analysis scripts used in the main manuscript as well as aggregated data of sentiment and emotionality automated annotations of the headlines and human annotations of a subset of headlines sentiment and emotionality used as ground truth. </p> <p>-models.rar contains the Transformer sentiment and emotion annotation models used in the analysis. Namely: </p> <p>Siebert/sentiment-roberta-large-english from https://huggingface.co/siebert/sentiment-roberta-large-english. This model is a fine-tuned checkpoint of <a href="https://huggingface.co/roberta-large">RoBERTa-large</a> (<a href="https://arxiv.org/pdf/1907.11692.pdf">Liu et al. 2019</a>). It enables reliable binary sentiment analysis for various types of English-language text. For each instance, it predicts either positive (1) or negative (0) sentiment. The model was fine-tuned and evaluated on 15 data sets from diverse text sources to enhance generalization across different types of texts (reviews, tweets, etc.). See more information from the original authors at https://huggingface.co/siebert/sentiment-roberta-large-english</p> <p>DistilbertSST2.rar is the default sentiment classification model of the HuggingFace Transformer library https://huggingface.co/ This model is only used to replicate the results of the sentiment analysis with sentiment-roberta-large-english </p> <p>DistilRoberta j-hartmann/emotion-english-distilroberta-base from https://huggingface.co/j-hartmann/emotion-english-distilroberta-base. The model is a fine-tuned checkpoint of <a href="https://huggingface.co/distilroberta-base">DistilRoBERTa-base</a>. The model allows annotation of English text with Ekman's 6 basic emotions, plus a neutral class. The model was trained on 6 diverse datasets. Please refer to the original author at https://huggingface.co/j-hartmann/emotion-english-distilroberta-base for an overview of the data sets used for fine tuning. https://huggingface.co/j-hartmann/emotion-english-distilroberta-base</p> <p>-headlinesDataWithSentimentLabelsAnnotationsFromSentimentRobertaLargeModel.rar URLs of headlines analyzed and the sentiment annotations of the siebert/sentiment-roberta-large-english Transformer model. https://huggingface.co/siebert/sentiment-roberta-large-english</p> <p>-headlinesDataWithSentimentLabelsAnnotationsFromDistilbertSST2.rar URLs of headlines analyzed and the sentiment annotations of the default HuggingFace sentiment analysis model fine-tuned on the SST-2 dataset. https://huggingface.co/</p> <p>-headlinesDataWithEmotionLabelsAnnotationsFromDistilRoberta.rar URLs of headlines analyzed and the emotion categories annotations of the j-hartmann/emotion-english-distilroberta-base Transformer model. https://huggingface.co/j-hartmann/emotion-english-distilroberta-base</p>
Pergola: boosting visualization and analysis of longitudinal data by unlocking genomic analysis tools - C. elegans unc-16 and N2 motion behavior dataset
<p>Dataset contains <em>Caenorhabditis</em> <em>elegans </em>motor behaviors originally used in this publication <a href="https://www.nature.com/articles/nmeth.2560">10.1038/nmeth.2560</a> and downloaded from the available <a href="http://wormbehavior.mrc-lmb.cam.ac.uk/">DB</a> which points to Zenodo. The dataset consists in two worm strains, 20 individuals from a mutant unc-16 strain with reduced mobility and 40 individuals from a control N2 strain. The behavioral measures derived from each individual worm trajectory were available in a HDF5-formatted file (Hierarchical Data Format Version 5) that has been included in this dataset.</p> <p>The data set consist in:</p> <p>- a "mappings" folder containing all the mappings used by the pergola in the pipeline to convert data.</p> <p>- a "N2" folder containing the 40 HDF5 files with the measures derived from the N2 worms.</p> <p>- a "N2" folder containing the 20 HDF5 files with the measures derived from the unc-16 worms.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.