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.
2,586
datasets available to search
ShareScore release 0.9.0
Dataset results
2,586 results for “Gradients”
Latitudinal gradient, MEND experiment, and BioGen experiment relating species richness and net primary productivity (NPP)
<p>Aboveground net primary productivity and species richness.</p>
Is there a latitudinal diversity gradient for symbiotic microbes? A case study with sensitive partridge peas
<p><span>Mutualism is thought to be more prevalent in the tropics than temperate zones and may therefore play an important role in generating and maintaining high species richness found at lower latitudes. However, results on the impact of mutualism on latitudinal diversity gradients are mixed, and few empirical studies sample both temperate and tropical regions. We investigated whether a latitudinal diversity gradient exists in the symbiotic microbial community associated with the legume <em>Chamaecrista</em> <em>nictitans</em>. We sampled bacteria DNA from nodules and the surrounding soil of plant roots across a latitudinal gradient (38.64 °N to 8.68 °N). Using 16S rRNA sequence data, we identified many non-rhizobial species within <em>C. nictitans </em>nodules that cannot form nodules or fix nitrogen. Species richness increased towards lower latitudes in the non-rhizobial portion of the nodule community but not in the rhizobial community. The microbe community in the soil did not effectively predict the non-rhizobia community inside nodules, indicating that host selection is important for structuring non-rhizobia communities in nodules. We next factorially manipulated the presence of three non-rhizobia strains in greenhouse experiments and found that co-inoculations of non-rhizobia strains with rhizobia had a marginal effect on nodule number and no effect on plant growth. Our results suggest that these non-rhizobia bacteria are likely commensals – species that benefit from associating with a host but are neutral for host fitness. Overall, our study suggests that temperate <em>C. nictitans</em> plants are more selective in their associations with the non-rhizobia community, potentially due to differences in soil nitrogen across latitude.</span></p>
Effects of Tide-Induced Mixing on the Surface Temperature Gradients Between the Equator and Poles During the Middle Miocene Climate Optimum -- Dataset
<p>The files contain the data related to the figures in this paper.</p><p>-- Fig.1 The topographic roughness of the PI and MMCO before and after reconstruction</p><p>-- Fig.2 The 300-year time series of the annual mean SAT and SST</p><p>-- Fig.3 The data of SSH for PI_TF experiment</p><p>-- Fig.4 The tidal dissipation and mixing for MMCO_TM, and the ocean vertical mixing</p><p>-- Fig.5 The annual mean SAT and SST for the MMCO_TM and<i> </i>MMCO<i>_</i>noTM</p><p>-- Fig.6 The global meridional heat transport for the MMCO_TM and<i> </i>MMCO<i>_</i>noTM</p><p>-- Fig.7 The net sea surface heat flux for the MMCO_TM and<i> </i>MMCO<i>_</i>noTM</p><p>-- Fig.8 The GMOC and AMOC for the MMCO_TM and<i> </i>MMCO<i>_</i>noTM</p>
TN397 SCOPE-Gradients-4 cruise, Wirewalker
<p>This dataset was collected during the 4th SCOPE-Gradients cruise. The SCOPE-Gradients program was designed to test conceptual and mathematical models of biogeochemical organization across the transition zone between different ecosystems. The Wirewalker is a wave-powered drifting profiler designed to collect autonomous, vertically-resolved oceanographic observations. The profiler moves along a wire that is suspended between a float at the sea surface and a weight placed at a depth of tens or hundreds of meters. The system horizontal displacement follows the ocean currents. Wirewalker measurements include temperature, salinity, depth, beam attenuation, backscattering, chlorophyll fluorescence, CDOM fluorescence, downwelling irradiance in four spectral bands, and dissolved oxygen concentration.</p>
Unveiling the genetic networks: Exploring the dynamic interaction of photosynthetic phenotypes in woody plants across varied light gradients
<p><em>Background:</em></p> <p>Understanding the mechanisms by which genes control and regulate complex quantitative traits during periods of fluctuating resources remains a challenging and uncertain task in photosynthesis studies. Most studies have focused on the structure of photosynthesis, the photosynthetic response under stress, or the genetic mechanisms involved in photosynthetic effects and neglected the interactive genetic mechanism that governs various traits through significant quantitative trait loci (QTLs). Results In this study, we have developed a differential dynamic system that enables the identification of QTLs based on the photosynthetic phenotypic and genotypic data under varying levels of light intensity gradients. The framework not only allows for the assessment of the direct effects of QTLs on phenotypes but also captures how they influence interactions among phenotypes as light intensities change. We have analyzed the genetic effects and genetic variance, visualized the genetic network associated with photosynthesis interactions, and validated the effectiveness and stability of the DDS framework. Pivotal QTLs were identified individually to uncover the process and pattern of interaction. Through functional annotation, we made an intriguing discovery that seemingly unimportant QTLs can still have significant genetic effects on phenotypic changes through their regulation with other QTLs. Conclusions This finding emphasizes the significance of considering the interactive genetic architecture when seeking to understand the genetic interaction mechanism of photosynthesis in natural populations of woody plants. Moreover, our research provides a novel framework that can be extended to explore the interactive genetic architecture among organisms, contributing to a deeper understanding of stress resistance mechanisms in woody plants.</p>
Underlying dataset for battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients
<p>This record constitutes the raw data underlying the paper "<i>Battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients</i>" (<a href="https://www.researchsquare.com/article/rs-2535223/v1">preprint link</a>)</p><p>The dataset contains all raw data, processed data and analysis codes used to generate figures in the publication. Abstract is as follows:</p><blockquote><p>Practical lithium-ion battery systems require parallelisation of tens to hundreds of cells, however understanding of how pack-level thermal gradients influence lifetime performance remains a research gap. Here we present an experimental study of surface cooled parallel-string battery packs (temperature range 20-45 °C), and identify two main operational modes; convergent degradation with homogeneous temperatures, and (the more detrimental) divergent degradation driven by thermal gradients. We attribute the divergent case to the, often overlooked, cathode impedance growth. This was negatively correlated with temperature and can cause positive feedback where the impedance of cells in parallel diverge over time; increasing heterogeneous current and state-of-charge distributions. These conclusions are supported by current distribution measurements, decoupled impedance measurements and degradation mode analysis. From this, mechanistic explanations are proposed, alongside a publicly available aging dataset, which highlights the critical role of capturing cathode degradation in parallel-connected batteries; a key insight for battery pack developers.</p></blockquote>
Data for: Drivers of wood decay in tropical ecosystems: Termites vs. microbes along spatial, temporal and experimental precipitation gradients
<ol> <li>Models estimating decomposition rates of dead wood across space and time are mainly based on studies carried out in temperate zones where microbes are dominant drivers of decomposition. However, most dead wood biomass is found in tropical ecosystems, where termites are also important wood consumers. Given the dependence of microbial decomposition on moisture with termite decomposition thought to be more resilient to dry conditions, the relative importance of these decomposition agents is expected to shift along gradients in precipitation that affect wood moisture.</li> <li>Here, we investigated the relative roles of microbes and termites in wood decomposition across precipitation gradients in space, time and with a simulated drought experiment in tropical Australia. We deployed mesh bags with non-native pine wood blocks, allowing termite access to half the bags. Bags were collected every six months (end of wet and dry seasons) over a four-year period across 5 sites along a rainfall gradient (ranging from savanna to wet sclerophyll to rainforest) and within a simulated drought experiment at the wettest site. We expected microbial decomposition to proceed faster in wet conditions with greater relative influence of termites in dry conditions.</li> <li>Consistent with expectations, microbial-mediated wood decomposition was slowest in dry savanna sites, dry seasons, and simulated drought conditions. Wood blocks discovered by termites decomposed 16% to 36% faster than blocks undiscovered by termites regardless of precipitation levels. Concurrently, termites were 10 times more likely to discover wood in dry savanna compared with wet rainforest sites, compensating for slow microbial decomposition in savannas. For wood discovered by termites, seasonality and drought did not significantly affect decomposition rates.</li> <li>Taken together, we found that spatial and seasonal variation in precipitation are important in shaping wood decomposition rates as driven by termites and microbes, although these different gradients do not equally impact decomposition agents. As we better understand how climate change will affect precipitation regimes across the tropics, our results can improve predictions of how wood decomposition agents will shift with potential for altering carbon fluxes.</li> </ol>
Data from: Fluctuation of ecological niches and geographic range shifts along chile pepper's domestication gradient
<p>Domestication is an ongoing well-described process. However, while many have stud- ied the changes domestication causes in plant genetics, few have explored its impact on the portion of the geographic landscape in which the plants exist. Therefore, the goal of this study was to understand how the process of domestication changed the geographic space suitable for chile pepper (<em>Capsicum annuum</em>) in its center of origin (domestication). <em>C. annuum</em> is a major crop species globally whose center of domes- tication, Mexico, has been well-studied. It provides a unique opportunity to explore the degree to which ranges of different domestication classes diverged and how these ranges might be altered by climate change. To this end, we created ecological niche models for four domestication classes (wild, semiwild, landrace, modern cultivar) based on present climate and future climate scenarios for 2050, 2070, and 2090. Considering present environment, we found substantial overlap in the geographic niches of all the domestication classes. Yet, environmental and geographic aspects of the current ranges did vary among classes. Wild and commercial varieties could grow in desert conditions, while landraces could not. With projections into the future, habitat was lost asymmetrically, with wild, semiwild, and landraces at greater risk of territorial declines than modern cultivars. Further, we identified areas where future suitability overlap between landraces and wilds is expected to be lost. While range expansion is widely associated with domestication, we found little support of a con- stant niche expansion (either in environmental or geographical space) throughout the domestication gradient in chile peppers in Mexico. Instead, particular domestication transitions resulted in loss, followed by capturing or recapturing environmental or geographic space. The differences in environmental characterization among domes- tication gradient classes and their future potential range shifts increase the need for conservation efforts to preserve landraces and semiwild genotypes</p>
Drivers of plant diversity, community composition, functional traits and soil processes along an alpine gradient in the central Chilean Andes
<p>The datasets in this repository include plant community surveys, hyperspectral reflectance data at the leaf and canopy level, leaf trait data, and soil chemistry data collected at five sites along an elevation gradient of 2400m-3500m in the Chilean Andes (33°S, 70°W). The purpose of this study was to evaluate the environmental drivers of community assembly processes along the elevation gradient.</p>
PV-gradient (PVG) tropopause: Time series 1980--2017 in four reanalyses
<h1>PV-gradient tropopause time series</h1> <h2>General description</h2> <p>These datasets contain time series of the PV-gradient tropopause (PVG tropopause) introduced by A. Kunz (2011, <a href="https://doi.org/10.1029/2010JD014343">doi:10.1029/2010JD014343</a>) and calculated by K. Turhal (2024, paper " Variability and Trends in the PVG Tropopause", preprint in EGUsphere: https://doi.org/10.5194/egusphere-2024-471).</p> <h2>Data and methods</h2> <p>The PVG tropopause has been computed by means of the Eddy Tracking Toolkit (developed by J. Clemens and K. Turhal, to be published):</p> <ul> <li>from four reanalyses: ERA5, ERA-Interim, MERRA-2 and JRA-55</li> <li>for the time range 1980/01/01 -- 2017/12/31 in time steps of the according reanalyses, i.e. four times daily at 00h, 06h, 12h and 18h</li> <li>on each isentropic level, with potential temperatures (theta) ranging from 320 K to 380 K, in steps of 5 K for ERA5 and 10 K for the other reanalyses.</li> </ul> <h2>Contents</h2> <p>Datasets are provided for each year and isentropic level in NetCDF4 format, every file consisting of two groups for the northern and southern hemisphere. Each group contains the following variables, with time as dimension:</p> <ul> <li>time in seconds since 2000/01/01 00:00 UTC</li> <li>u_lim: Zonal wind speed at the PVG tropopause</li> <li>vh_lim: Horizontal wind speed at the PVG tropopause</li> <li>q_lim: Maximum of Q = vh * Grad PV</li> <li>eqlat_lim: Location of the PVG tropopause in equivalent latitudes</li> <li>latmean_lim: Location of the PVG tropopause in latitudes</li> <li>pv_lim: PV value at the PVG tropopause</li> </ul> <p>In this upload, the PVG tropopause time series are included as *.zip files:</p> <ul> <li>ERA5 dataset: "pvg-tp_era5_ts.zip"</li> <li>ERA-Interim dataset: "pvg-tp_eraint_ts.zip"</li> <li>MERRA-2 dataset: "pvg-tp_merra2_ts.zip"</li> <li>JRA-55 dataset: "pvg-tp_jra55_ts.zip"</li> <li>Plots of time series for each reanalysis of the variables eqlat_lim, latmean_lim and pv_lim: "pvg_tropopause_timeseries_plots.zip".</li> </ul> <h2>How to use</h2> <p>The variables in these netCDF files are grouped by hemisphere. To read in the data, specify the group first ("NorthernHemisphere" or "SouthernHemisphere") and then the variable name (see list above). In Python, this can be done as follows:</p> <pre><code>import netCDF4 as nc file="<insert file path here>" d = nc.Dataset(file) # read in a variable. Syntax: d["group name"]["variable name"][:]. For example: latmean_lim = d["NorthernHemisphere"]["latmean_lim"][:] # test print print(f"First value of latmean_lim in NH: {latmean_lim[0]}")</code></pre> <p>If you would like to read in all variables in both hemispheres, you can loop e.g. as follows:</p> <pre><code>import netCDF4 as nc file = "<insert file path here>" d = nc.Dataset(file) # iterate through both hemispheres for hem in ["NorthernHemisphere", "SouthernHemisphere"]: # select the group to each hemisphere in the netCDF file g = d.groups[hem] # iterate through variables in each hemisphere. "v" is the name of each variable in the group. for v in g.variables: # read in the data for variable 'v' in hemisphere 'hem' as an array var = g[v][:] # just a test print, optional print(f"First value of {v} in {hem.replace('Hem', ' Hem')} is {var[0]}")</code></pre> <h2>Funding</h2> <p>This project has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – TRR 301 – Project-ID 428312742, TPChange: The Tropopause Region in a Changing Atmosphere (<a href="https://tpchange.de/">https://tpchange.de/</a>).</p>
Data from: Satellite tracking of American Woodcock reveals a gradient of migration strategies
<p>Diversity in behavior is important for migratory birds in adapting to dynamic environmental and habitat conditions and responding to global change. Migratory behavior can be described by a variety of factors that comprise migration strategies. We characterized variation in migration strategies in American Woodcock (<em>Scolopax minor</em>), a migratory gamebird experiencing long-term population decline, using GPS data from approximately 300 individuals tracked throughout eastern North America. We classified woodcock migratory movements using a step-length threshold, and calculated characteristics of migration related to distance, path, and stopping events. We then used principal components analysis (PCA) to ordinate variation in migration characteristics along axes that explained different fundamental aspects of migration, and tested effects of body condition, age-sex class, and starting and ending location on PCA results. The PCA did not show evidence for clustering, suggesting a lack of discrete strategies among groups of individuals; rather, woodcock migration strategies existed along continuous gradients driven most heavily by metrics associated with migration distance and duration, departure timing, and stopping behavior. Body condition did not explain variation in migration strategy during the fall or spring, but during spring adult males and young females differed in some characteristics related to migration distance and duration. Starting and ending latitude and longitude, particularly the northernmost point of migration, explained up to 61% of the variation in any one axis of migration strategy. Our results reveal gradients in migration behavior of woodcock, and this variability should increase the resilience of woodcock to future anthropogenic landscape and climate change.</p>
Fig. 2 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 2. Ontogenetic patterns of habitat use in Abudefduf saxatilis, Anisotremus surinamensis, Lutjanus alexandrei, and L. jocu along the sub-areas of Mamanguape Mangrove-Reef system, NE Brazil, showing an increase in individual size classes from the Estuarine to the Reef zone. Mann Whitney U Test showed significant size differences between all sub-areas (for A. saxatilis, Transition vs. Reefs: U = 491, Z = -6.02, p = 0.00; for A. surinamensis, Transition vs. Reefs: U = 1338, Z = -6.83, p = 0.00; for L. alexandrei, Peixe-Boi vs. Transition: U = 0.00, Z = -3.39, p = 0.00; and Tanques vs. Transition: U = 0.00, Z = -2.92, p = 0.00; for L. jocu, Peixe-Boi vs. Transition: U = 7.5, Z = -3.38, p = 0.00), except between Tanques and Peixe-Boi for L. alexandrei (U = 65, Z = 0.76, p = 0.46).
Fig. 3 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 3. Canonical Correspondence Analysis of fishes and environmental parameters from Mamanguape Mangrove-Reef system, NE Brazil: (a) fish species (symbols) in relation to microhabitat categories (vectors) - Eigenvalues: axis 1, 0.56; axis 2, 0,20; r species-environment: axis 1, 0.87; axis 2, 0.56; First two axes accounted for 64.9 % of the variance; (b) fish trophic groups and subareas (symbols) in relation to environmental categories (vectors) - Eigenvalues: axis 1, 0.49; axis 2, 0.39; r species-environment: axis 1, 0.79; axis 2, 0.76; First two axes accounted for 51.6 % of the variance. Monte-Carlo test of all canonical axes were significant (p <0.01), 999 permutations. Abbreviations as follows - fish species: Abusax: Abudefduf saxatilis; Acabah: Acanthurus bahianus; Acacoe: A. coeruleus; Achlin: Achirus lineatus; Anisur: Anisotremus surinamensis; Anivir: A. virginicus; Batsop: Bathygobius soporator; Centrop: Centropomus sp.; Cithspil - Citharichthys spilopterus; Corglau - Coryphopterus glaucofraenum; Dactvol - Dactylopterus volitans; Echnau: Echeneis naucrates; Epiadc: Epinephelus adscensionis; Eucmel: Eucinostomus melanopterus; Haepar: Haemulon parra; Hipprei: Hippocampus reidi; Lutana: Lutjanus analis; Lutale: L. alexandrei; Lutjoc: L. jocu; Micrbra: Microphis brachyurus; Myroce: Myrichthys ocellatus; Rypran: Rypticus randalli; Scarus: Scarus sp.; Sparis: Sparisoma sp.; Sphtes: Sphoeroides testudineus; Stefus: Stegastes fuscus; Stevar: S. variabilis; trophic groups: RH - Roving herbivore; TH - Territorial herbivore; OM - Omnivore; CA - Carnivore; IM - Invertivore of mobile prey.
Fig. 1 in Fish assemblage of the Mamanguape Environmental Protection Area, NE Brazil: abundance, composition and microhabitat availability along the mangrove-reef gradient
Fig. 1. Mamanguape estuary, State of Paraíba, NE Brazil, showing surveyed sub-areas: 1) Tanques; 2) Peixe-Boi; 3) Cação; 4) Transition; and 5) Reefs. Dashed areas represent sandbanks.
Data and code for: Pneumococcus co-colonization and the stress-gradient-hypothesis
<p>Pneumococcus serotype co-colonization, caused by the polymorphic bacteria <em>Streptococcus pneumoniae</em>, has been increasingly investigated and reported in recent years. Yet, there is limited information on how co-colonization patterns vary globally, critical for understanding the evolution and transmission dynamics of these bacteria. Here we report on a rich dataset of cross-sectional pneumococcal colonization studies collected from the literature, where we quantified patterns of transmission intensity and co-colonization variation in children populations across different epidemiological settings. Fitting these data to an SIS model with co-colonization under the assumption of quasi-neutrality among multiple interacting strains, our analysis reveals strong patterns of negative co-variation between transmission intensity R<sub>0</sub> and susceptibility to co-colonization <em>k</em>, in support of the stress-gradient-hypothesis (SGH) in ecology. According to this hypothesis, ecological interactions between organisms shift positively as environmental stress increases. In our model higher environmental stress is represented via lower values of the basic reproduction number R<sub>0</sub>, and a shift towards positive interactions is represented via higher vulnerability to co-colonization (higher <em>k</em>) between pneumococcus serotypes.</p>
Data files for manuscript "Coral growth along a natural gradient of seawater temperature, pH, and oxygen in a nearshore seagrass bed on Dongsha Atoll, Taiwan"
<p>Data files and README file for the manuscript "Coral growth along a natural gradient of seawater temperature, pH, and oxygen in a nearshore seagrass bed on Dongsha Atoll, Taiwan" by Ariel K. Pezner, Travis A. Courtney, Wen-Chen Chou, Hui-Chuan Chu, Benjamin W. Frable, Samuel A. H. Kekuewa, Keryea Soong, Yi Wei, and Andreas J. Andersson.</p> <p>Data files include carbonate chemistry data from discrete seawater samples taken over a shallow seagrass bed, <em>Porites</em> skeletal extension, density, and calcification rates from 15 coral cores collected in the seagrass bed (as well as collection locations), and data from an autonomous CTD sensor deployed in the shallow seagrass. </p>
Extending Grime's CSR model to predict plant demographic responses across resource availability gradients: evidence from the Patagonian steppes
<p>Sexual reproduction, growth, and survival are crucial demographic strategies for plant population viability. Here, we propose a conceptual model predicting demographic responses of species based on their ecological strategy and the heterogeneity of environmental conditions within a biogeographical unit and then applied it to a case study from a 5-degree latitudinal gradient in the Patagonian steppes. We also aim to disentangle genetic from environmental effects on demographic responses. We performed <em>in-situ </em>and common garden experiments with two species from six local populations of the Occidental Phytogeographical District of the Patagonian steppes. Species differ in key ecological traits, and thus fit into Grime´s model for evolutionary strategies in plants: one as competitive species and the other as stress-tolerant species. We calculated population growth rate (λ) and performed elasticity analyses to compare the contribution of each demographic strategy to population fitness between species and among local populations distributed along 600 km latitudinal gradient with differences in mean annual precipitation (MAP). We highlight four results. First, the competitive species change from sexual reproduction to growth as MAP increases. Second, the stress-tolerant species relied on growth and survival along the MAP gradient. Third, interannual variation in resource availability modulated demographic responses for both strategies. Fourth, based on the comparison of the <em>in-situ</em> and common garden experiments, we submit that demographic responses were genetically driven. Our study shows that demographic responses can be roughly predicted by the ecological strategy across environmental gradients. We show that differences arise not only between species, but also were genetically driven differences within species among local populations. Scaling up plant-level responses to population-level dynamics allows for a process-based understanding of current and future biogeographical species organization. Furthermore, conservation and restoration efforts should be guided by demographic strategies underlying population viability.</p>
Table 1 in Latitudinal Diversity Gradients in Free-living Microorganisms - Hoogenraadia a Key Genus in Testate Amoebae Biogeography
<p><b>Table 1.</b> Characters and distribution of six species of the genus <i>Hoogenraadia</i> (L – length, W – width). Many of the earlier papers do not report a sample size for number of tests measured – so it is possible that some of these data may be based on a very low sample size.</p><table><tbody><tr><th>Species</th><th>Size <b>(</b>µm<b>)</b></th><th>Distribution regions and publication</th><th>Habitats</th></tr></tbody><tbody><tr><th><i>H. africana</i></th><td>L = 95–115, W = 47–60</td><td>Moyen-Congo (Gauthier-Lièvre and Thomas 1958), Guinea and Equatorial Guinea (Golemansky 1962), Brasil (Leiptniz <i>et al</i>. 2003), China (Qin <i>et al</i>. 2011)</td><td><i>Sphagnum</i>, water, river, forest marsh</td></tr><tr><th><i>H. asiatica</i></th><td>L = 95, W = 70</td><td>China (Wang and Min 1987)</td><td>Quaternary deposit</td></tr><tr><th><i>H. cryptostoma</i></th><td>L = 130–140, W = 105–110</td><td>Moyen-Congo (Gauthier-Lièvre and Thomas 1958), States of Parana, Mato Grosso du Sul, Brasil (Velho <i>et al</i>. 1996, 2000)</td><td>Swamp quite shady in the bed of a stream</td></tr><tr><th><i>H. humicola</i></th><td>L = 143–146, W = 96–100</td><td>Nepal, Himalayas (Bonnet 1977, 1978), Philippines (Bonnet 1980), Cote d’Ivoire, Africa (Bonnet 1976, 1978), Tonga and Western Samoa Islands (Korganova 1994), China (this paper)</td><td>Soils rich in organic debris in forest-gallery backwaters. The ground litter and sublitter horizons of white subtropical soils</td></tr><tr><th><i>H. ovata</i></th><td>L = 60–67, W = 36–39</td><td>Cote d’Ivoire, Africa (Bonnet 1976)</td><td>Soils rich in organic debris in forest-gallery backwaters</td></tr><tr><th><i>H. sylvatica</i></th><td>L = 82–93, W = 60–70</td><td>Punta Lara Province of Buenos Aires, Argentina (Vucetich 1974)</td><td>Moss in marginal forest</td></tr></tbody></table>
Replication Data for: Beyond the Dailey-Townes model: chemical information from the electric field gradient
<p>This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper entitled "Beyond the Dailey-Townes model: chemical information from the electric field gradient" by G. Fabbro, J. Pototschnig, and T. Saue.</p>
Innateness Transcriptome Gradients Characterize Mouse T Lymphocyte Populations
<p>Whole blot image repository for :</p> <p><strong>Innateness Transcriptome Gradients Characterize Mouse T Lymphocyte Populations</strong></p> <p>Gabriel Ascui<sup>1,2,3 </sup>*, Viankail Cedillo-Castelan<sup>1 </sup>*, Alba Mendis<sup>1</sup>, Eleni Phung<sup>1</sup>, Hsin-Yu Liu<sup>1</sup>, Greet Verstichel<sup>1</sup>, Shilpi Chandra<sup>1</sup>, Mallory P. Murray<sup>1,3</sup>, Cindy Luna<sup>1</sup>, Hilde Cheroutre<sup>1</sup>, Mitchell Kronenberg<sup>1,2,3</sup>.</p> <p><sup>1</sup> La Jolla Institute for Immunology, La Jolla, California, US; <sup>2</sup> Department of Molecular Biology, University of California San Diego, La Jolla, California, US, US; <sup>3</sup> Immunological Genome Project Consortium.</p> <p>*: Equal contribution.</p> <p><strong>Corresponding author</strong>: <a href="mailto:mitch@lji.org">mitch@lji.org</a></p> <p> </p> <p>Image Description: </p> <p>Blots were revealed and later stripped for next primary and secondary antibody staining. </p> <p> </p> <p> </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.