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518 results for “cycling data”

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zenodo32/100

Figure 3 in Gorgocephalidae (Digenea: Lepocreadioidea) in the Indo-West Pacific: new species, life-cycle data and perspectives on species delineation over geographic range

Figure 3. Bayesian majority-rule consensus tree of the COI mtDNA single-gene alignment. Bayesian inference (BI) posterior probabilities and maximum likelihood (ML) bootstrap support shown at nodes. A '-' symbol indicates the node was not recovered in ML analysis. The scale-bar indicates the number of substitutions per site.

opennotspecifiedMar 2021View details →
zenodo32/100

Figure 2 in Gorgocephalidae (Digenea: Lepocreadioidea) in the Indo-West Pacific: new species, life-cycle data and perspectives on species delineation over geographic range

Figure 2. Principal component analysis (PCA) on morphometric data obtained from adult gorgocephalids from multiple localities in the Indo-West Pacific. Note the clustering pattern indicating only two morphotypes, consistent with the two previously described species from the region.

opennotspecifiedMar 2021View details →
zenodo32/100

Figure 12 in Gorgocephalidae (Digenea: Lepocreadioidea) in the Indo-West Pacific: new species, life-cycle data and perspectives on species delineation over geographic range

Figure 12. Gorgocephalus euryaleae and Gorgocephalus graboides, scanning electron micrographs. A, B, oral suckers of adult Gorgocephalus euryaleae ex Kyphosus gladius, Point Peron, Rockingham, Western Australia. C, tegument of adult Gorgocephalus euryaleae, ex Kyphosus gladius, Point Peron. D, E, oral suckers of adult Gorgocephalus graboides ex Kyphosus cinerascens, Lizard Island, Queensland, Australia. F, tegument of adult Gorgocephalus graboides ex Kyphosus cinerascens, Lizard Island. Scale bars: A, E, 40 µm; B, D, 50 µm; C, F, 20 µm.

opennotspecifiedMar 2021View details →
dryad32/100

Data from: Introgression from farmed escapees affects the full life cycle of wild Atlantic salmon

<p>After a half a century of salmon farming, we have yet to understand how the influx of genes from farmed escapees affects the full life history of Atlantic salmon (Salmo salar L.) in the wild. Using scale samples of over 6900 wild adult salmon from 105 rivers, we document that increased farmed genetic ancestry is associated with increased growth throughout life and a younger age at both seaward migration and sexual maturity. There was large among-population variation in the effects of introgression. Most saliently, the increased growth at sea following introgression declined with the population's average growth potential. Variation at two major-effect loci previously shown to be associated with age at maturity was little affected by farmed genetic ancestry and could not explain the observed phenotypic effects of introgression. Our study provides knowledge crucial for redicting the ecological and evolutionary consequences of increased aquaculture production worldwide.</p>

opencc-zeroDec 2021View details →
dryad32/100

Data from 'Convergent patterns of body size variation in distinct parasite taxa with convergent life cycles'

<p><b>Aim:</b> Interspecific variation among metazoans often follows a latitudinal pattern, with species at higher latitudes being larger-bodied than related species from lower latitudes (Bergmann's rule). For parasitic species, body sizes within any higher taxon often correlate with the body sizes of their hosts (Harrison's rule). Whether temperature-driven latitudinal effects or host-driven resource constraints act independently or additively to shape interspecific variation in parasite body sizes remains unknown. We use a comparative approach to test the effects of latitude and host body size on parasite body sizes in two taxa of parasitic worms showing convergent life cycles.</p> <p><b>Location:</b> Global.</p> <p><b>Time period:</b> Contemporary.</p> <p><b>Major taxa studied:</b> Hairworms (Nematomorpha) and mermithids (Nematoda) parasitic in arthropods.</p> <p><b>Methods:</b> With 223 records for mermithids and 258 for nematomorphs worldwide, we used linear mixed effects models to test the effects of latitude and host body size on parasite length, intraspecific length variation, parasite egg diameter, and variation in egg diameter. Further, we modelled parasite length with local mean annual temperature as predictor instead of latitude, as a direct test of underlying mechanisms. All models took into account host and parasite taxonomic structure within the datasets.</p> <p><b>Results:</b> For both taxa, host body size was clearly the main determinant of parasite body length, with neither latitude nor local temperature (annual mean or range) having an effect. No predictor affected intraspecific length variation, whereas egg diameter was positively associated with parasite length and variation in egg diameter was negatively associated with latitude.</p> <p><b>Main conclusions:</b> Our results support a strong role for host traits in shaping the evolution of parasite body sizes (Harrison's rule), but no role for latitude (Bergmann's rule), even though these parasites infect ectothermic hosts.<span> At a mechanistic level, the evolutionary driving force of external temperature on parasite physiology seems to be eclipsed by the availability of resources from the host.</span></p>

opencc-zeroAug 2022View details →
dryad32/100

Data from: Trophic interactions regulate peatland carbon cycling

<p>Peatlands are the most efficient natural ecosystems for long-term storage of atmospheric carbon. Our understanding of peatland carbon cycling is based entirely on bottom-up controls regulated by low nutrient availability. Recent studies have shown that top-down controls through predator-prey dynamics can influence ecosystem function, yet this has not been evaluated in peatlands to date. Here, we used a combination of nutrient enrichment and trophic-level manipulation to test the hypothesis that interactions between nutrient availability (bottom-up) and predation (top-down) influence peatland carbon fluxes. Elevated nutrients stimulated bacterial biomass and organic matter decomposition. In the absence of top-down regulation, carbon dioxide (CO<sub>2</sub>) respiration driven by greater decomposition was offset by elevated algal productivity. Herbivores accelerated CO<sub>2</sub> emissions by removing algal biomass, while predators indirectly reduced CO<sub>2</sub> emissions by muting herbivory in a trophic cascade. This study demonstrates that trophic interactions can mitigate CO<sub>2</sub> emissions associated with elevated nutrient levels in northern peatlands.</p>

opencc-zeroJan 2022View details →
zenodo32/100

FIGURE. Phylogenetic tree of specimens on Poaceae and related host plants constructed by MP method based on ITS+28S regions of rDNA. Bootstrap values of MP and ML are followed by the Bayesian posterior probabilities (Bpp) on the nodes in the topology. Asterisk (*) represents bootstrap values or Bpp less than 50% in the topology. Sample data are shown with voucher specimen number or GenBank accession number, and host plant. Sequence data determined in this study are shown in color. Teliospore shapes are shown in each clade detected, and new species are shown by asterisk (*) on clades. 0, I: Spermogonial and aecial host genus. Asterisk (*) on host plants: Spermogonial and aecial host plants. in Phylogenetic approach for identification and life cycles of Puccinia (Pucciniaceae) species on Poaceae from northeastern China

FIGURE. Phylogenetic tree of specimens on Poaceae and related host plants constructed by MP method based on ITS+28S regions of rDNA. Bootstrap values of MP and ML are followed by the Bayesian posterior probabilities (Bpp) on the nodes in the topology. Asterisk (*) represents bootstrap values or Bpp less than 50% in the topology. Sample data are shown with voucher specimen number or GenBank accession number, and host plant. Sequence data determined in this study are shown in color. Teliospore shapes are shown in each clade detected, and new species are shown by asterisk (*) on clades. 0, I: Spermogonial and aecial host genus. Asterisk (*) on host plants: Spermogonial and aecial host plants.

opennotspecifiedFeb 2022View details →
zenodo32/100

Data for "Characteristics of earthquake cycles: a cross-dimensional comparison 0D to 3D"

<p>This is the data used in&nbsp;&quot;Characteristics of earthquake cycles: a cross-dimensional comparison 0D to 3D&quot;. The paper is currently under review. See README.txt for more information.</p>

opencc-by-4.0May 2021View details →
dryad32/100

Data from: Balancing food acquisition and predation risk drives demographic changes in snowshoe hare population cycles

<p>Snowshoe hare cycles are one of the most prominent phenomena in ecology. Experimental studies point to predation as the dominant driving factor, but previous experiments combining food supplementation and predator removal produced unexplained multiplicative effects on density. We examined the potential interactive effects of food limitation and predation in causing hare cycles using an individual based food-supplementation experiment over-winter across three cycle phases that naturally varied in predation risk. Supplementation doubled over-winter survival with the largest effects occurring in the late increase phase. Although the proximate cause of mortality was predation, supplemented hares significantly decreased foraging time and selected for conifer habitat, potentially reducing their predation risk. Supplemented hares also lost less body mass which resulted in the production of larger leverets. Our results establish a mechanistic link between how foraging time, mass loss, and predation risk affect survival and reproduction, potentially driving demographic changes associated with hare cycles.</p>

opencc-zeroFeb 2022View details →
dryad32/100

Data from: Coastal darkening substantially limits the contribution of kelp to coastal carbon cycles

<p>Macroalgal-dominated habitats are rapidly gaining recognition as important contributors to marine carbon cycles and sequestration. Despite this recognition, relatively little is known about the production and fate of carbon originating from these highly productive ecosystems, or how anthropogenic and climate related stressors affect the role of macroalgae in marine carbon cycles. Here, we examine the impact of increasing turbidity on carbon storage, fixation and loss in southern hemisphere kelp forests. We quantified net primary production (NPP) and biomass accumulation (BA), and estimated carbon release via detritus and dissolved organic carbon (DOC) across a large-scale turbidity gradient. We show that increased turbidity, resulting in a 63 % reduction in light, can result in a 95 % reduction in kelp productivity. When averaged annually, estimates of NPP and BA per plant at high light sites were nearly 6 and 2 times greater than those at low light sites, respectively. Furthermore, the quantity of carbon fixed annually by kelp forests was up to 4.7 times greater than that stored as average annual standing stock. At low light sites, the majority of C goes directly into tissue growth and is subsequently eroded. In contrast, excess production at high light sites accounts for up to 39 % of the total carbon fixed and is likely released as DOC. Turbidity is expected to increase in response to climate change and our results suggest this will have significant impacts on the capacity of kelp forests to contribute to carbon sequestration pathways. In addition to demonstrating that turbidity significantly reduces the quantity of carbon fixed by kelp forests, and subsequently released as detritus, our results highlight the negative impacts of turbidity on a large source of previously unaccounted for carbon.</p>

opencc-zeroFeb 2022View details →
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Stepwise guidance for data collection in the life cycle inventory (LCI) phase: Building technology-related LCI blocks

<p><strong><em>Supplementary Material 2 - Generic and customizable LCI data collection template</em></strong> from&nbsp;the publication <em><strong>&quot;Stepwise guidance for data collection in the life cycle inventory (LCI) phase:&nbsp;</strong></em><em><strong>Building technology-related LCI blocks&quot;</strong></em></p>

opencc-by-4.0May 2022View details →
zenodo32/100

Data from: Analysis on Conveying of Miniature and Microparts on a Platform Subjected to Sinusoidal Displacement Cycles with Controlled Dry Friction

<p>Data from the paper &quot;Analysis on Conveying of Miniature and Microparts on a Platform Subjected to Sinusoidal Displacement Cycles with Controlled Dry Friction&quot;&nbsp;<a href="https://doi.org/10.5755/j02.mech.28195">https://doi.org/10.5755/j02.mech.28195</a></p> <p>This paper presents a novel method for conveying of miniature and microparts on a subjected to sinusoidal displacement cycles in the horizontal direction when the effective coefficient of dry friction between the part and the platform is periodically being controlled. Hereby, the required dynamic directionality is achieved via the system asymmetry created by periodic alteration of the effective coefficient of dry friction between the micropart and the platform. A mathematical model of conveying process is developed and solved numerically to determine the influence of frictional properties, friction control and sinusoidal excitation parameters on the conveying process characteristics. It was found that the velocity and direction of conveying can be easily controlled in a wide range by changing the phase shift between the function of the ef-fective dry friction coefficient and the function of horizon-tal sinusoidal displacement cycles as well as the duration of effective dry friction coefficient reduction. To test the theoretical findings in practise, an experimental setup for micropart conveying with controlled dry friction was created and build. The experimental results revealed the functional capabilities of the proposed method for micropart conveying by demonstrating how the velocity, direction and step size are controlled by regulating the parameters of friction control and sinusoidal excitation.<br> The proposed method can be practically used in conveying, feeding, manipulation and assembly systems for miniature and microparts in the mechatronics, electronic and other industries.</p>

opencc-by-4.0Feb 2022View details →
zenodo32/100

Code and data for results and figures of the manuscript "Multi-million year cycles in modelled δ13C as a response to astronomical forcing of organic matter fluxes." submitted to Earth System Dynamics

<p>This dataset contains the code of the model used in the manuscript submitted to Earth System Dynamics &quot;Multi-million year cycles in modelled &delta;13C as a response to astronomical forcing of organic matter fluxes.&quot;. It also contains some model outputs and code to draw the figures.</p>

opencc-by-4.0Sep 2022View details →
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Data for "Impacts of an active Pacific Meridional Overturning Circulation on the Pliocene climate and hydrological cycle"

<p>Post-Processing Scripts and Data for the Paper<br>Title: Impacts of an Active Pacific Meridional Overturning Circulation on the Pliocene Climate and Hydrological Cycle<br>Authors: Minmin Fu, Alexey Fedorov<br>Publication Year: 2024<br>Contact: minmin.fu@yale.edu</p> <p>Overview<br>This repository contains the post-processing scripts and data used in the paper. It includes Jupyter notebooks for data analysis and plot generation, as well as the GCM output and utilities for adding land-sea masks and proxy sites.</p> <p>Repository Structure<br>notebooks/: Jupyter notebooks for analyzing data and creating plots.<br>data/: GCM output files for reproducing all figures in the paper.<br>utilities/: Functions for adding the land-sea mask and proxy sites.<br>PlioMIP2/: PlioMIP2 boundary conditions.</p> <p>Data<br>The data directory contains the GCM output files necessary for reproducing all figures. Ensure you have the necessary storage space as these files may be large.</p> <p>Utilities<br>The utilities directory contains utility functions, including:</p> <p>Land-Sea Mask Functions: Scripts to apply land-sea masks to the data.<br>Proxy Site Functions: Scripts to integrate proxy site data into the analysis.<br>The PlioMIP2 directory contains the boundary condition files used for the PlioMIP2 experiments.</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Biogeochemical data from diel cycles in a turbid-water pond and a clear-water pond in Brussels

<p><span>The dataset comprises one file containing geo-referenced information with corresponding timestamps. The names of the two ponds are written in French according to the official name defined by Brussels Environment (BE) (i.e. Leybeek and Silex).</span></p> <p><strong><span>Field sampling</span></strong></p> <p><span>Sampling was done every hour from a pontoon by collecting directly surface waters with 60ml polypropylene syringes for gases (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O). Contents of the syringes were transferred with a silicone tube in 60 ml borosilicate serum bottles (Weathon) for CH<sub>4</sub> and N<sub>2</sub>O, poisoned with 200 &micro;l of a saturated solution of HgCl<sub>2</sub>, and sealed with a butyl stopper and crimped with aluminium cap, without a headspace for further analysis at home laboratory. CO<sub>2</sub> measurements were carried out directly on the field with a Li-Cor Li-840 CO<sub>2</sub>/H<sub>2</sub>O gas analyser using the headspace technique by equilibrating four syringes with 30 mL of sample water and 30 mL of atmospheric air by vigorous shaking during 5 min (Borges et al., 2019). The Li-Cor Li-840 was calibrated before and after each cruise with ultrapure N<sub>2</sub> and a suite of gas standards (Air Liquide Belgium) with CO<sub>2</sub> mixing ratios of 388, 813, 3788 and 8300 ppm. The overall precision of pCO<sub>2</sub> measurements was &plusmn;2.0%. Water temperature, specific conductivity, and %O<sub>2</sub> were also measured every hour in-situ with VWR MU 6100H probe. 2L polyethylene containers were filled with water three to four times a day and processed at home laboratory for nutrients (soluble reactive phosphorus (SRP), ammonium (NH<sub>4</sub><sup>+</sup>), nitrate (NO<sub>3</sub><sup>-</sup>), and nitrite (NO<sub>2</sub><sup>-</sup>)), chlorophyll-<em>a</em> (Chl-<em>a</em>) and total suspended matter (TSM).&nbsp;</span></p> <p><strong><span>Meteorological data</span></strong></p> <p><span>Meteorological data including hourly air temperature, rainfall, wind speed and atmospheric pressure were retrieved online from </span><span><a href="https://wow.meteo.be/en"><span>https://wow.meteo.be/en</span></a></span><span> from the closest meteorological station of the two ponds (Institute of St-Lambert in Brussels, at 50.8408 &deg;N, 4.4234 &deg;E) located from 2.5km of P&ecirc;cheries pond and 5km from Silex pond.</span></p> <p><strong><span>CH<sub>4</sub> and N<sub>2</sub>O measurements by gas chromatography and </span></strong><strong><span>&delta;</span></strong><strong><sup><span>13</span></sup></strong><strong><span>C-CH<sub>4</sub> by <span>cavity ring-down spectrometry</span></span></strong></p> <p><span>Measurements of N<sub>2</sub>O and CH<sub>4</sub> concentrations dissolved in water and in the gas were made with the headspace technique (20ml of ultra-pure N<sub>2</sub>, Air Liquid Belgium, Weiss, 1981) and a gas chromatograph (GC) (SRI 8610C) with a flame ionisation detector for CH<sub>4</sub> and an electron capture detector for N<sub>2</sub>O calibrated with CO<sub>2</sub>:CH<sub>4</sub>:N<sub>2</sub>O:N<sub>2</sub> gas mixtures (Air Liquide Belgium) with mixing ratios of 1, 10 and 30 ppm for CH<sub>4</sub>, 404, 1018, 3961 ppm for CO<sub>2</sub>, and 0.2, 2.0 and 6.0 ppm for N<sub>2</sub>O. The precision of measurement based on duplicate samples was &plusmn;3.9% for CH<sub>4</sub> and &plusmn;3.2% for N<sub>2</sub>O.</span></p> <p><span>The </span><span>&delta;</span><sup><span>13</span></sup><span>C-CH<sub>4</sub> was measured in the headspace gas (20 ml of synthetic air, Air Liquid Belgium) equilibrated with the water sample (total volume 60 ml). The gas samples were diluted to achieve a final CH4 partial pressure below 10 ppm, aligning with the instrument's recommended operational concentration range. This prepared gas was then injected into a cavity ring-down spectrometer (G2201-I, Isotopic Analyzer, Picarro) equipped with a Small Sample Introduction Module 2 (SSIM, Picarro). The data were corrected using calibration curves of </span><span>&delta;</span><sup><span>13</span></sup><span>C-CH<sub>4</sub> as a function of concentration, based on two gas standards from Airgas Specialty Gases with certified </span><span>&delta;</span><sup><span>13</span></sup><span>C-CH<sub>4</sub> values of -23.9&plusmn;0.3 &permil; and -69.0&plusmn;0.3 &permil;.</span></p> <p><strong><span>Chlorophyll-<em>a</em>, total suspended matter, and dissolved inorganic nutrients</span></strong></p> <p><span>Water was filtered through Whatman GF/F glass microfiber filters (porosity 0.7 &micro;m) with a diameter of 47 mm for TSM and Chl-<em>a</em> determination. Chl-<em>a</em> was extracted from filters that were kept frozen before analysis (-20&deg;C) with 90% acetone and concentrations was determined by fluorimetry (Kontron model SFM 25) (Yentsch and Menzel, 1963). Filters used for determination of TSM were pre-weighed before filtration and weighed after filtration of a known volume of water (after oven drying at 50&deg;C). Filtered water was used for the determination of dissolved nutrients. NH<sub>4</sub><sup>+</sup> was measured by the nitroprusside-hypochlorite-phenol staining method (Grasshoff and Johannsen, 1972), NO<sub>2</sub><sup>-</sup> and NO<sub>3</sub><sup>-</sup> were measured before and after reduction of NO<sub>3</sub><sup>-</sup> to NO<sub>2</sub><sup>-</sup> by a cadmium-copper column, using the Griess acid reagent staining method (Grasshoff and Kremling, 2009), SRP was measured by the ammonium molybdate, ascorbic acid and potassium antimony tartrate staining method (Koroleff, 1983).</span></p> <p><strong><span>References</span></strong></p> <p><span>Borges AV, F Darchambeau, T Lambert, C Morana, G H Allen, E Tambwe, A Toengaho Sembaito, T Mambo, J Nlandu Wabakhangazi, J-P Descy, CR Teodoru, S Bouillon (2019) Variations in dissolved greenhouse gases (CO2, CH4, N2O) in the Congo River network overwhelmingly driven by fluvial-wetland connectivity, Biogeosciences, 16, 3801-3834. </span><span><a href="https://doi.org/10.5194/bg-16-3801-2019"><span>https://doi.org/10.5194/bg-16-3801-2019</span></a></span><span> </span></p> <p><span>Grasshoff, K., and Johannsen, H (1972). A new sensitive and direct method for the automatic determination of ammonia in sea water. ICES J. Mar. Sci. 34 (3), 516&ndash;521. </span><span><a href="https://doi.org/10.1093/icesjms/34.3.516"><span>https://doi.org/10.1093/icesjms/34.3.516</span></a></span><span>.</span></p> <p><span>Grasshoff, K., Kremling, K., and Ehrhardt, M. (2009). Methods of Seawater Analysis: Determination of Nitrite. </span><span>John Wiley &amp; Sons.</span></p> <p><span>Koroleff, J. (1983). Determination of total phosphorus by alkaline persulphate oxidation. </span><span>Methods of Seawater Analysis. Verlag Chemie, Wienheim, pp. 136&ndash;138.</span></p> <p><span>Weiss, R. F. (1981). Determinations of carbon dioxide and methane by dual catalyst flame ionization chromatography and nitrous oxide by electron capture chromatography. <em>Journal of Chromatographic Science</em>, <em>19</em>(12), 611-616. </span><span><a href="https://doi.org/10.1093/chromsci/19.12.611"><span>doi.org/10.1093/chromsci/19.12.611</span></a></span><span> </span></p> <p><span>Yentsch, C. S., &amp; Menzel, D. W. (1963). </span><span>A method for the determination of phytoplankton chlorophyll and phaeophytin by fluorescence. In <em>Deep Sea Research and Oceanographic Abstracts</em> (Vol. 10, No. 3, pp. 221-231). </span><span>Elsevier. </span><span><a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/0011-7471(63)90358-9" target="_blank" rel="noopener"><span><span>https://doi.org/10.1016/0011-7471(63)90358-9</span></span></a><span>&nbsp;</span></span></p>

opencc-by-4.0May 2024View details →
dryad32/100

Data from: The non-coding RNA CcnA modulates the master cell cycle regulators CtrA and GcrA in Caulobacter crescentus

<p>Bacteria are powerful models for understanding how cells divide and accomplish global regulatory programs. In <em>Caulobacter crescentus</em>, a cascade of essential master regulators supervises the correct and sequential activation of DNA replication, cell division and development of different cell types. Among them, the response regulator CtrA plays a crucial role coordinating all those functions. Here, for the first time we describe the role of a novel factor named CcnA, a cell cycle regulated ncRNA located at the origin of replication, presumably activated by CtrA and responsible for the accumulation of CtrA itself. In addition, CcnA may be also involved in the inhibition of translation of the S-phase regulator, GcrA, by interacting with its 5' untranslated region (5'-UTR). Performing <em>in vitro</em> experiments and mutagenesis, we propose a mechanism of action of CcnA based on liberation (<em>ctrA</em>) or sequestration (<em>gcrA</em>) of their ribosome-binding site (RBS). Finally, its role may be conserved in other alphaproteobacterial species, such as <em>Sinorhizobium</em> <em>meliloti</em>, representing indeed a potentially conserved process modulating cell cycle in <em>Caulobacterales </em>and<em> Rhizobiales</em>. </p>

opencc-zeroJul 2024View details →
zenodo32/100

Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using Ambient Seismic Noise Data

<p>This is the electronic supplemental data for the publication entitled&nbsp;</p> <p>"<strong>Quantitatively Monitoring of Seasonal Frozen Ground Freeze-thaw Cycle Using&nbsp;Ambient Seismic Noise Data</strong>"</p> <p>submitted to <strong>Seismological Research Letters (SRL)</strong>.&nbsp;</p> <p>The names of the compressed files represent the experiment number and station number. For example, "1_2" indicates data collected from the second station during the first experiment. Each compressed file contains seismic raw data in the ".SAC" format. The filenames include the UTC end time of data collection. For instance, "453003616.00000001.2021.10.20.06.40.22.000.z.sac" indicates that data collection ended at 06:40:22 on October 20, 2021. Each complete .sac file contains 4 days of data with a sampling interval of 0.002 seconds.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Data and figure production code for 'Hydrological cycle amplification imposes spatial pattern on climate change response of ocean pH and carbonate chemistry'

<p>Time mean data, and python code, used to create figures in 'Hydrological cycle amplification imposes spatial pattern on climate change response of ocean pH and carbonate chemistry', Biogeosciences, Hogikyan and Resplandy 2024</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Data for "Completing the speciation cycle: Ecological niches and traits predict local species coexistence in birds across the globe"

<p>These are files to replicate all analyses in our article:</p> <p>A data file in xlsx format.</p> <p>A phylogeny in nexus format.</p> <p>An R code for analyses.</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Supplementary Data for Bayesian material flow analysis of the construction aggregate cycle in England (2019)

<p>Supplementary Data for Bayesian material flow analysis of the construction aggregate cycle in England (2019) by&nbsp;</p> <p><span>Adam R. Mason <sup>1,a</sup>, Tom Bide <sup>2,b</sup>, Junyang Wang <sup>3,c</sup>, John Morley <sup>4,d</sup>, Mohit Arora <sup>5,e</sup>, Alperen Yayla<sup>1,f</sup>, Julia A. Stegemann <sup>5,g</sup>, Rupert J. Myers <sup>1,h,*</sup></span></p> <p><span>&nbsp;</span></p> <p><sup><span>1</span></sup><span> Department of Civil and Environmental Engineering, Imperial College London, UK</span></p> <p><sup><span>2</span></sup><span> British Geological Survey, UK</span></p> <p><sup><span>3 </span></sup><span>Department of Mathematics, Imperial College London, UK</span></p> <p><sup><span>4</span></sup><sub><span> </span></sub><span>Department of Earth Science and Engineering, Imperial College London, UK</span></p> <p><sup><span>5</span></sup><span> School of Engineering, King&rsquo;s College London, UK</span></p> <p><sup><span>6</span></sup><span> Department of Civil, Environmental and Geomatic Engineering, University College London, UK</span></p> <p><span>&nbsp;</span></p> <p><span>Author e-mails: <sup>a </sup></span><a href="mailto:a.mason19@imperial.ac.uk"><span>a.mason19@imperial.ac.uk</span></a><span>,<sup> b </sup></span><a href="mailto:tode@bgs.ac.uk"><span>tode@bgs.ac.uk</span></a><span>,<sup> c </sup></span><a href="mailto:junyang.wang21@imperial.ac.uk"><span>junyang.wang21@imperial.ac.uk</span></a><span>,<sup> d </sup></span><a href="mailto:john.morley18@imperial.ac.uk"><span>john.morley18@imperial.ac.uk</span></a><span>,<sup> e </sup></span><a href="mailto:mohit.arora@kcl.ac.uk"><span>mohit.arora@kcl.ac.uk</span></a><span>,<sup> f </sup></span><a href="mailto:a.yayla22@imperial.ac.uk"><span>a.yayla22@imperial.ac.uk</span></a><span>,<sup> g </sup></span><a href="mailto:j.stegemann@ucl.ac.uk"><span>j.stegemann@ucl.ac.uk</span></a><span>; *corresponding author:<sup> h</sup> </span><a href="mailto:r.myers@imperial.ac.uk"><span>r.myers@imperial.ac.uk</span></a></p> <p>&nbsp;</p>

opencc-by-4.0Sep 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record