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1,356 results for “Human Activities”
Dataset in the article "Sedimentary record off the Yangtze River estuary and its response to typhoons and human activities over the past 70 years"
<p>The original data presented here is related to the article “Sedimentary record off the Yangtze River estuary and its response to typhoons and human activities over the past 70 years”</p>
The datasets for the paper "Spatial and temporal distribution of lobate scarps in the lunar south polar region: Evidence for latitudinal variation of scarp geometry, kinematics and formation ages, continuous tectonic activity in the last 100 million years and seismically safe south pole Artemis human landing site" Geophysical Research Letters.
<p>This dataset provides the original data that were used for preparing the illustrations, figures and tables.</p>
The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996). in Muridae
The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996).
The effects of exploratory behavior on physical activity in a common animal model of human disease, zebrafish (Danio rerio)
<p>Zebrafish (Danio rerio) are widely accepted as a multidisciplinary vertebrate model for neurobehavioral and clinical studies, and more recently have become established as a model for exercise physiology and behavior. Individual differences in activity level (e.g., exploration) have been characterized in zebrafish, however, how different levels of exploration correspond to differences in motivation to engage in swimming behavior has not yet been explored. We screened individual zebrafish in two tests of exploration: the open field and novel tank diving tests. The fish were then exposed to a tank in which they could choose to enter a compartment with a flow of water (as a means of testing voluntary motivation to exercise). After a 2-day habituation period, behavioral observations were conducted. We used correlative analyses to investigate the robustness of the different exploration tests. Due to the complexity of dependent behavioral variables, we used machine learning to determine the personality variables that were best at predicting swimming behavior. Our results show that contrary to our predictions, the correlation between novel tank diving test variables and open field test variables was relatively weak. Novel tank diving variables were more correlated with themselves than open field variables were to each other. Males exhibited stronger relationships between behavioral variables than did females. In terms of swimming behavior, fish that spent more time in the swimming zone spent more time actively swimming, however, swimming behavior was inconsistent across the time of the study. All relationships between swimming variables and exploration tests were relatively weak, though novel tank diving test variables had stronger correlations. Machine learning showed that three novel tank diving variables (entries top/bottom, movement rate, average top entry duration) and one open field variable (proportion of time spent frozen) were the best predictors of swimming behavior, demonstrating that the novel tank diving test is a powerful tool to investigate exploration. Increased knowledge about how individual differences in exploration may play a role in swimming behavior in zebrafish is fundamental to their utility as a model of exercise physiology and behavior.</p>
Differential response of Sichuan snub-nosed monkeys to climate change and human activities
<p><strong><span>Aim</span></strong><span>: Determining the mechanisms by which climate change and human activities affect patterns of ecological specialization in different genetic units of the same species is crucial for developing local or regionally-based conservation solutions. This study uses species distribution models and genetic analysis to 1) identify evidence of intraspecific differences in the population size and distribution of the three extant lineages (Sichuan/Gansu (SG), Qinling (QL), and Shennongjia (SNJ)) of Sichuan snub-nosed monkeys; and 2) determine why some lineages have lower population numbers, a smaller geographical distribution, and are more threatened with extinction.</span></p> <p><span><strong>Location</strong>:</span><span> China</span></p> <p><span><strong>Methods</strong>:</span><span> We used n-dimensional hypervolume modeling and Genotype–Environment Association (GEA) models to compare the climatic niches of three snub-nosed monkey lineages, SDMs to reconstruct the historical, current, and future distributions of each lineage, and SMC++ to calculate their effective population sizes. </span></p> <p><span><strong>Results</strong>:</span><span> We found evidence of: 1) climatic niche differentiation among the SG, QL, and SNJ lineages of Sichuan snub-nosed monkeys; 2) geographical isolation combined with a decrease in population size during the LGM resulted in ecological specialization among these three lineages; and 3) a decline in climatic suitability and anthropogenically-driven land conversion, combined with small population size and a narrow distributional range, indicate that the SNJ lineage is at a greater risk of extinction than the SG and QL lineages.</span></p> <p><span><strong>Main</strong> <strong>conclusions</strong>: </span><span>We demonstrate that during the LGM a reduction in habitat suitability</span> <span>driven by climate change, in concert with decreasing population size resulted in the geographical isolation of the three Sichuan snub-nosed monkey subpopulations, leading to lineage differences in ecological specialization</span><span>.</span> <span>GEA models and hypervolume models demonstrated that the three lineages occupy different ecological niches. Based on lineage-level models, the SNJ and QL lineages should be the immediate focus of conservation efforts due to their </span><span>small effective population size and expected future reductions in available suitable habitat</span><span>. The modeling approach used here</span> <span>is robust and can be applied effectively to examine the biogeography, recent evolutionary history, and effective population size of other endangered animal taxa.</span></p>
mmWave Radar and RGB-D Camera Sensor Data for Human Activity Recognition(2)
<p>This is a supplementary dataset, which is linked to https://zenodo.org/record/7088054#.YyVF3ehBwQ8. The dataset is composed of corner radar point cloud data and front radar point cloud data collected from environments existing obstacles between volunteers and sensors. </p>
eBird data for: Avian behaviour changes in response to human activity during the COVID-19 lockdown in the United Kingdom
<p>Human activities may impact animal habitat and resource use, potentially influencing contemporary evolution in animals. In the United Kingdom (UK), COVID-19 lockdown restrictions resulted in sudden, drastic alterations to human activity. We hypothesized that short-term daily and long-term seasonal changes in human mobility might result in changes in bird habitat use, depending on the mobility type (home, parks, grocery) and the extent of change. Using Google human mobility data and 872 850 bird observations, we determined that during lockdown, human mobility changes resulted in altered habitat use in 80% (20/25) of our focal bird species. When humans spent more time at home, over half of affected species had lower counts, perhaps resulting from the disturbance of birds in garden habitats. Bird counts of some species (e.g. rooks, gulls) increased over the short-term as humans spent more time parks, possibly due to human-sourced food resources (e.g. picnic refuse), while counts of other species (e.g. tits and sparrows) decreased. All affected species increased counts when humans spent less time at grocery services. Avian species rapidly adjusted to the novel environmental conditions and demonstrated behavioural plasticity, but with diverse responses, reflecting the different interactions and pressures caused by human activity.</p>
Replication of manuscript entitled "Tropical eastern Pacific cooling trend reinforced by human activity"
<p>NCAR Command Language (NCL) codes and data for replicating main figures in a manuscript published in npj Climate and Atmospheric Science</p>
Replay-triggered Brain-wide Activation in Humans
<p>The behavioural data, first-level and second-level fMRI statistical images, and EEG decoded time series are derived from "Replay-triggered brain-wide activation in humans". Please cite this paper if you use any of these data. </p> <p>Paper link:<br><a href="https://doi.org/10.1038/s41467-024-51582-5">https://doi.org/10.1038/s41467-024-51582-5 </a><br><br></p>
Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscle
<p>Supplemental Figure for a study <strong>Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscleи </strong> <a href="https://www.ncbi.nlm.nih.gov/pubmed/30779632#">Am J Physiol Endocrinol Metab.</a> 2019 Feb 19. <strong> </strong> https://www.ncbi.nlm.nih.gov/pubmed/30779632</p>
Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscle
<p>Supplemental Tables for a study <strong>Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscle </strong> <a href="https://www.ncbi.nlm.nih.gov/pubmed/30779632#">Am J Physiol Endocrinol Metab.</a> 2019 Feb 19. <strong> </strong>https://www.ncbi.nlm.nih.gov/pubmed/30779632</p>
Benchmark and integration of resources for the estimation of human transcription factor activities
<p>Data used to benchmark human TF-target datasets via TF activities in 3 benchmark datasets. Described in <a href="https://www.biorxiv.org/content/biorxiv/early/2018/06/18/337915.full.pdf">Garcia-Alonso et al 2019</a></p> <p>Check <a href="https://github.com/saezlab/TFbenchmark">https://github.com/saezlab/TFbenchmark</a> to access the corresponding code.</p> <p> </p> <p> </p> <p><strong>Study abstract</strong></p> <p>Prediction of transcription factor (TF) activities from the gene expression of their targets (i.e. TF regulon) is becoming a widely-used approach to characterize the functional status of transcriptional regulatory circuits. Several strategies and datasets have been proposed to link the target genes likely regulated by a TF, each one providing a different level of evidence. The most established ones are: (i) manually curated repositories, (ii) interactions derived from ChIP-seq binding data, (iii) <em>in silico</em> prediction of TF binding on gene promoters, and (iv) reverse-engineered regulons from large gene expression datasets. However, it is not known how these different sources of regulons affect the TF activity estimations, and thereby downstream analysis and interpretation. Here we compared the accuracy and biases of these strategies to define human TF regulons by means of their ability to predict changes in TF activities in three reference benchmark datasets. We assembled a collection of TF-target interactions among 1,541 TFs and evaluated how the different molecular and regulatory properties of the TFs, such as the DNA-binding domain, specificities or mode of interaction with the chromatin, affect the predictions of TF activity changes. We assessed their coverage and found little overlap on the regulons derived from each strategy and better performance by literature-curated information followed by ChIP-seq data. We provide an integrated resource of all TF-target interactions derived through these strategies with a confidence score, as a resource for enhanced prediction of TF activities.</p>
HerpesFolds: A proteome-wide structural systems approach reveals insights into protein families and activities of all nine human herpesviruses
<p>These are the AlphaFold output files and ChimeraX sessions for "HerpesFolds: A proteome-wide structural systems approach reveals insights into protein families and activities of all nine human herpesviruses" by Timothy K. Soh, Sofia Ognibene, Saskia Sanders, Robin Schäper, Benedikt B. Kaufer, and Jens B. Bosse.</p>
Fig. 9 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
Fig. 9. Binding interactions of active site residues of CAIX (PDB ID 3IAI) with 4-hydroxy-5-methylcoumarin. The ligand is black in colour while the amino acid residues are green in colour. Purple dash represents hydrophobic interactions while green dash depicts hydrogen bonding. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 8 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
Fig. 8. Binding interactions of active site residues of CAIX (PDB ID 3IAI) with 5-methylcoumarin-4-β-glucoside. The ligand is black in colour while the amino acid residues are green in colour. Purple dash represents hydrophobic interactions while green dash depicts hydrogen bonding. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 6 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
Fig. 6. Binding interactions of active site residues of CDK2 (PDB ID: 2DUV) with lupeol (black colour). Purple dash depicts hydrophobic interactions while green dash depicts hydrogen bonding. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Fig. 4 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
Fig. 4. Effect of V. glaberrima compounds on the viability of A375 cell lines as determined by MTS assay.
Fig. 1 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
Fig. 1. Photograph of Vernonia glaberrima (personally taken by Alhassan AM in Nasarawa LGA, Nasarawa State, Nigeria on 12, May, 2015).
Fig. 2 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
Fig. 2. Structures of isolated compounds from Vernonia glaberrima leaves viz., nonacosanoic acid (1), lupeol (2), 5-methylcoumarin-4-β-glucoside (3) and 4-hydroxy-5-methylcoumarin (4).
Fig. 3 in Phytoconstituents from Vernonia glaberrima Welw. Ex O. Hoffm. leaves and their cytotoxic activities on a panel of human cancer cell lines
Fig. 3. Effect of Vernonia glaberrima leaves crude methanolic extract on cancer cells viability as determined by MTS assay.
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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.