Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5,794
datasets available to search
ShareScore release 0.9.0
Dataset results
5,794 results for “exposures”
Figure 4 in The fate of the TARDIS offspring: no intergenerational effects of space exposure
Figure 4. Mean percentage (with SE) hatching success and survival until day 7 post-hatching in controls, space vacuum and UVAB treatment groups of the F1 (A) and F3 (B) generations of Milnesium tardigradum, representing descendants of the parental (P) generation that was exposed to space conditions in the TARDIS experiment (Jonsson et al., 2008). Treatment categories: Control, Earth laboratory control; SV, space vacuum and cosmic radiation; SV+UVAB, space vacuum, cosmic radiation and UVAB. Mean (SD) values: Hatching success F1: Control, 86.8% (5.3); SV, 92.5% (3.8); SV+UVAB, 91.7% (—). Hatching success F3: Control, 98.1% (0.82); SV, 95.9% (2.8); SV+UVAB, 98.0% (—). Survival 7-days post-hatch F1: Control, 92.9% (4.2); SV, 88.2% (3.8); SV+UVAB, 93.5% (—). Survival 7-days post-hatch F3: Control, 91.2% (3.3); SV, 88.3% (4.0); SV+UVAB, 91.3% (—).
Figure 3 in The fate of the TARDIS offspring: no intergenerational effects of space exposure
Figure 3. Mean fecundity (with SE) in the F1 generation (eggs produced by the P generation exposed in space) and the F3 generation (eggs produced by the F2 generation) in Milnesium tardigradum, based on the number of eggs in individual exuvia. Treatment categories: Control, Earth laboratory control; SV, space vacuum and cosmic radiation; SV+UVAB, space vacuum, cosmic radiation and UVAB. Number of replicate samples: F1, n = 4 for both controls and SV; F3: n = 4 for controls and 3 for SV. The analysis included only one sample of UV-exposed animals. Mean (SD) values F1: Control, 8.0 (1.15); SV, 7.1 (1.35); SV+UVAB, 7.0 (—). Mean (SD) values F3: Control, 9.6 (0.54); SV, 9.9 (0.058); SV+UVAB, 9.8 (—).
Enhanced perfusion following exposure to radiotherapy: a theoretical investigation (revised manuscript data)
<p>Dataset and software supporting the revised manuscript: "Enhanced perfusion following exposure to radiotherapy: a theoretical investigation." See the enclosed README and manuscript for further information.</p>
Ljubljana Multi-Sensor Indoor and Outdoor PM Exposure, Environment, and Personal Health Dataset
<p>This dataset was compiled between February 16, 2019, and May 25, 2019, involving 82 participants residing in the municipality of Ljubljana. Data collected before March 12th represents the "heating season," while data after April 27th corresponds to the "non-heating season." This dataset is the cleaned/filtered version with outliers caused by software or hardware errors removed.</p><p>Derived from the larger ICARUS project in Ljubljana, this dataset integrates various data sources, including:</p><ul><li>Participant Questionnaires: Containing certain individual information, i.e., age, height, gender.</li><li>Time Activity Diaries: Providing hourly activity records for each participant.</li><li>Personal PM Monitors: Measuring indoor and outdoor PM concentrations.</li><li>Smart Activity Trackers: Recording heart rate and movement data.</li><li>Indoor Air Quality Station: Capturing indoor air quality parameters.</li></ul><p>The dataset includes the calculation of inhalation rate based on heart rate data, allowing for the determination of inhalation rate-adjusted exposure or intake dose.</p><p>This version of the dataset is in .csv format.</p>
Data from: Effects of mixing litter on decomposition under three exposure scenarios
<p>The effect of mixing litter on decomposition has received considerable attention in terrestrial and aquatic (but rarely in both) ecosystems, with a striking lack of consensus in the obtained results. We studied the decomposition of a mixture of poplar and alder in three terrestrial:aquatic exposures to determine (1) if the effect of mixing litter on mass loss, associated decomposers (fungal biomass, sporulation rates, and richness) and detritivores (abundance, biomass, and richness of invertebrate shredders) differs between the stream (fully aquatic exposure) and when litter is exposed to a period of terrestrial exposure prior to immersion and (2) the effect of the mixture across exposure scenarios. The effect of the mixture was additive on mass loss and synergistic on decomposers and detritivores across exposure scenarios. Within scenarios, mass loss and decomposers showed synergistic effects only in the fully aquatic exposure, detritivores showed synergistic effects only when the period of terrestrial was shorter than the period of aquatic exposure, and when the period of terrestrial was equal to the period of aquatic exposure the effect of the mixture was additive on mass loss, decomposers, and detritivores. The species-specific effects also differed among exposure scenarios. Alder affected poplar only when there was a period of terrestrial exposure, with increased sporulation rates and fungal richness in exposure 25:75, and increased mass loss in exposure 50:50. Poplar affected alder only under fully aquatic exposure, with increased mass loss. In conclusion, the synergistic effects of the mixture changed with a period of terrestrial exposure prior to immersion. These results provide a cross-boundary perspective on the effect of mixing litter, showing a legacy effect of exposure to terrestrial decomposition on the fate of plant litter in aquatic ecosystems and highlighting the importance of assessing the effect of mixing litter on the associated biota and not only on mass loss.</p>
Data from: Crossed effects of helminth infection and lead exposure on fitness: an experimental study in feral pigeons (Columba livia)
<p><span>Living organisms are exposed to multiple environmental factors that can affect their fitness. The effects of these simultaneous stressors can be additive or can interact in negative synergistic or antagonistic ways to affect the health of exposed individuals. Parasites can accumulate pollutants in their own tissues and have been shown to increase the tolerance of their hosts to different pollutants (antagonistic interaction between parasites and pollutants). We tested the existence of combined antagonistic effects between intestinal parasites and lead exposure on urban feral pigeons (<em>Columba livia</em>) which are known to be exposed to trace metal pollution and harbor a wide variety of internal and external parasites. </span><span>We experimentally exposed feral pigeons to two treatments: an anthelmintic treatment to eliminate intestinal nematode parasites; an exposure to lead for a period of 6 months. We tested the effects of these crossed treatments on several components of fitness: immunocompetence, reproduction, and body mass. </span><span>Our findings suggest that the overall effects of lead exposure, either alone or in combination with the presence of intestinal parasites (without </span><span>anthelmintic </span><span>treatment) were negative, through either additive or synergistic means. </span><span>In the absence of putative antagonistic effects between lead exposure and with helminths, the detoxification hypothesis could not be confirmed. </span><span>Our results reveal the existence of negative combined effects between pollutant exposure and intestinal parasites, highlighting the importance of accounting for multiple stress factors when studying the effects of exposure to pollutants and/or other environmental stressors on the fitness of organisms.</span></p>
Salt Water Exposure Exacerbates the Negative Response of Phragmites australis Haplotypes to Sea-Level Rise
<p>Dataset associated with the 2024 publication in the <em>Plants</em> journal dealing with <em>Phragmites australis </em>response to abiotic factors associated with rising sea levels. </p>
Inter-Chemical Correlation results for the study: HHEARx2018-2273 (First Trimester Exposures: Influence on Birth Outcomes and Markers of Biological Response)
Title: First Trimester Exposures: Influence on Birth Outcomes and Markers of Biological Response <br>Species: Homo sapiens <br>Number of samples: 356 <br>Number of named analytes: 59 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=59 <br>
Association between exposure to ecotoxicants and clinical and laboratory indices at clinical and preclinical stages of rheumatoid arthritis
Open the record for dataset details and reuse information.
The HEC method processing code and output for constrained precipitation extremes reveal unequal future socioeconomic exposure
Open the record for dataset details and reuse information.
Minimising feeding behaviour interference: a Hay-Shaker device to assess dust exposure in horses
Open the record for dataset details and reuse information.
Cigarette smoke exposure as a potential risk factor for sleep problems in pregnant women
<p><strong><span>Abstract</span></strong></p> <p><span>Cigarette smoking and exposure to cigarette smoke during pregnancy have detrimental effects on the health of expectant mothers, increasing the likelihood of respiratory diseases or infections. Due to the stimulant effect of smoking, the negative effect on diurnal rhythm and sleep is also observed. Sleep quantity and quality are directly related to health and well-being, especially during times of excess stress, such as the perinatal period. This prospective study aimed to examine the relationship between cigarette smoking and exposure to cigarette smoke during pregnancy and sleep patterns in pregnant women. An online survey was conducted among Polish women from May 2020 to September 2021, during the COVID-19 pandemic. Participants reported smoking during pregnancy and rated sleep in three categories (difficulty falling asleep, waking up too early, and difficulty staying asleep). Data from 3365 mothers aged 18-43 (mean 30.7; SD 3.87) were analyzed using multivariate logistic regression. Passive smoking was associated with one of the three variables used to assess sleep problems (waking up too early) while controlling for a range of individual variables (age, education, place of residence, satisfaction with the woman's life, and economic situation, pregnancy complications, levels of state anxiety and depressive symptoms, trimester of pregnancy, nausea or vomiting during pregnancy, and COVID-19 infections). Interestingly, results showed no evidence of an association between active smoking and sleep difficulties. Our findings suggest that passive smoking is a potential risk factor for sleeping problems in pregnant women, especially in the aspect of waking up too early. These results are worth considering when formulating pro-health measures for pregnant women and their close ones.</span></p>
Robust detection of SARS-CoV-2 exposure in population using T-cell repertoire profiling
<p>The dataset contains processed T-cell receptor repertoire sequencing data from >1200 individuals of different sex and age. Note that only samples with good sequencing coverage are published (>10^5 reads per file). </p> <p>The main aim of our study is to find TCR sequence biomarkers and develop a bioinformatic pipeline that allows building an accurate and robust classifier that distinguishes COVID-19-convalescent donors from unexposed individuals. We performed immunosequencing of the rearranged TCR α and β regions for PBMCs. For the cohort described in this study (Cohort-I) we sequence both chains of the TCR heterodimer as both of these chains are required to properly predict antigen recognition26. We ran conventional T-cell repertoire data analysis and pre-processed data to remove low-coverage samples. </p> <p>Of samples in Cohort-I which passed read count threshold, 383/377 TCR α/β samples were from healthy donors (SARS-CoV-2 PCR test negative or obtained prior to pandemic) and 890/848 were from COVID-19-positive patients. The majority of samples were accompanied by information on HLA class I and II alleles. Samples were prepared and sequenced in nine batches.</p> <p>The metadata for both TCR alpha and beta repertoires contains the following information:</p> <div> <ul> <li>sequencing_date - date when seguencing was performed</li> <li>batch_name - one of the 9 unique batch identifiers</li> <li>sample_id, patient_id - information on sample identifier and donor identifier</li> <li>COVID_status, COVID_IgG, COVID_IgM, COVID_PCR - information on COVID-19 status</li> <li>HLA-A.1, HLA-A.2, HLA-B.1, HLA-B.2, HLA-C.1, HLA-C.2 - MHC class I alleles</li> <li>HLA-DPB1.1, HLA-DPB1.2, HLA-DQB1.1, HLA-DQB1.2, HLA-DRB1.1, HLA-DRB1.2 - MHC class II alleles</li> <li>file_name - name of the corresponding file in <em>fmba_clonotype_usage_tables.zip </em>archive</li> </ul> </div> <p>Each file in <em>fmba_clonotype_usage_tables.zip </em>archive stores the information on either TCR alpha or beta repertoire. Each line in a file corresponds to the unique clonotype and each clonotype is accompanied with the following information:</p> <ul> <li>count - number of reads where the clonotype was detected</li> <li>freq - count of reads with the clonotype divided by thw whole number of reads in a sample</li> <li>cdr3nt, cdr3aa - nucleotide and amino acid sequences of TCR's CDR3 sequence</li> <li>v, d, j - the V/D/J segment name which was used for the clonotype's rearrangement</li> <li>VEnd, DStart, DEnd, JStart - information on VDJ junction positions </li> </ul> <p>We proceed with selecting a set of CDR3 sequences that can serve as biomarkers and form a feature list for COVID-19 status classifier. We also validate the resulting set of clonotypes in several ways. Co-occurence of specific TCR α and β clonotypes can serve as an independent validation for biomarkers and their co-association with some specific pathogen. Additional information on donor HLAs is provided to filter the set of biomarkers based on HLA restriction: association with donor HLA serves as an additional evidence for TCR specificity to a specific set of antigens presented in a given donor and allows detecting the fingerprint of past and present infection. Furthermore, clonotypes with similar sequences can be aggregated into 'metaclonotype' biomarkers based on clonotype graph analysis.</p> <p>Finally, we train various COVID-19 status classifiers on selected batches from Cohort-I data using different algorithms and incorporating different feature sets. Verification of the robustness of our results was performed using independent batches of the Cohort-I and data from Cohort-II published previously.</p>
SARS-CoV-2 exposure in Malawian blood donors: an analysis of seroprevalence and variant dynamics between January 2020 and July 2021
<p>Results of population-based age stratified seroepidemiological investigation in Malawi.</p>
Direct observation of the chemical transformations in BiVO4 photoanodes upon prolonged light exposure treatments
<p>Exposing BiVO<sub>4</sub> photoanodes to light pre-treatments leads to a significant photocurrent enhancement. The interpretation given for this phenomenon until now, has not taken into consideration the chemical nature of the processes taking place within the material. Here, we present a direct observation of the chemical transformations on the BiVO<sub>4</sub> surface upon prolonged light exposure and their implications on the photoelectrochemical oxidation of benzyl alcohol. Upon the light-aging treatment, structural characterization of our BiVO<sub>4</sub> shows a chemical segregation process of Bi species toward the surface of the photoanode. We found that this observation correlates with the formation of intra-band gap electronic states associated with oxygen vacancies, observed by impedance spectroscopy. Continuous infra-red wavelength excitation allowed us to monitor such oxygen vacancy states and, for the first time, to report infra-red steady-state photocurrent production in BiVO<sub>4</sub>. Our results highlight the significance of the chemical nature of light-induced phenomena on metal oxide semiconductors and its implications when developing photosensitizers for photoelectrochemical applications</p>
Life history traits in two Drosophila species differently affected by microbiota diversity under lead exposure
<p><em>We investigated the influence of population origin and heavy metal exposure to the diversity of microbiota in two species, Drosophila melanogaster and Drosophila subobscura grown in laboratory on lead (II) acetate (Pb(CH3COO)<sub>2</sub>) saturated substrate. The composition of microbiota in larvae and adults was determined by sequencing (NGS) of the V3-V4 variable regions of the 16S rRNA gene.</em></p>
Subtle alterations in neonatal neurodevelopment following early or late exposure to prenatal maternal immune activation
<p>Structural MRI</p>
Gluten-free diet exposure prohibits pathobiont expansion and gluten sensitive enteropathy in B cell deficient mice
<p>In humans, celiac disease (CeD) is a T-cell-driven gluten-sensitive enteropathy (GSE) localized to the small bowel (duodenum). The presence of antibodies specific for gluten- and self-antigens are commonly used diagnostic biomarkers of CeD and are considered to play a role in GSE pathogenesis. Previously, we have described an apparent T-cell-mediated GSE in CD19<sup>-/-</sup> mice, which develop weak and abnormal B cell responses. Here, we expand on this observation and use a mouse model of complete B cell deficiency (J<sub>H</sub><sup>-/-</sup> mice), to show that absence of a humoral immune response also promotes development of a GSE. Furthermore, 16S analysis of microbial communities in the small intestine (SI) demonstrates that a gluten-free diet (GFD) suppresses the expansion of anaerobic bacteria in the SI and colonization of the SI by a specific pathobiont. Finally, we also observe that SI enteropathy in mice fed a gluten-rich diet (GRD) is positively correlated with the abundance of several microbial peptidase genes, which supports that bacterial metabolism of gluten may be an important driver of GSE in our model. Collectively, results from our experiments indicate that J<sub>H</sub><sup>-/-</sup> mice will be a useful resource to investigators seeking to empirically delineate the contribution of humoral immunity on GSE pathogenesis, and support the hypothesis that humoral immunity promotes tolerance to gluten.</p>
Poly(I:C) exposure during in vitro fertilization disrupts first cleavage of mouse embryos and subsequent blastocyst development
<p>The data of the study about: Poly(I:C) exposure during in vitro fertilization disrupts first cleavage of mouse embryos and subsequent blastocyst development.</p>
Exposure to the Covid-19 pandemic and generosity in Spain
<p>We report data from an online experiment, which allow us to study how generosity has changed during the initial explosive growth of the Covid-19 pandemic in Spain. We have gathered data from over a six-day period in which Covid-19-associated deaths in Spain, one of the most affected countries in the corresponding period, increased fourfold. In our experiment, participants could donate a fraction of a €100 prize to a charity. Our data are particularly rich in the age distribution and we complement them with daily public information about the Covid-19-related deaths, infections, and hospital admissions. We find correlational evidence that donations decreased in the period under study and scale down with the public information about the life and health impact of the pandemic. The effect is particularly pronounced among older subjects. Our analysis of the mechanisms behind the detected decrease in solidarity suggests that subjects' expectations about others' behavior, perceived mortality risk, and (alarming) information in behavioral adaptation play a key—but independent—role.</p>
ScienceDex guides
Understand access before you commit
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.