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Fig. 3 in Scale-Morphometry Study To Discriminate Gibel Carp (Carassius Gibelio) Populations In The Balaton-Catchment (Hungary)
Fig. 3. Canonical Variate Analysis of Carassius gibelio from KBWPS I, KBWPS II, Balaton, Nagyberek, Hungary with landmark-based geometric geometric morphometrics based on scale shape. El-
Data and R code from: Relics of beavers past: time and population density drive scale-dependent patterns of ecosystem engineering
<p><span>Like many ecological processes, natural disturbances exhibit scale-dependent dynamics that are largely a function of the magnitude, frequency, and scale at which they are assessed. Ecosystem engineers create patch-scale disturbances that affect ecological processes, yet we know little about how these effects scale across space or vary through time. Here, we investigate how patch disturbances by beavers (<i>Castor canadensis</i>), ecosystem engineers renowned for their pond-creation behavior, affect ecological processes across space and time. We evaluated how beaver population recovery influenced surface water dynamics in relation to population density over 70 years across multiple spatial scales (pond, watershed, and regional) in northern Minnesota. Surface water area was positively related to population density at the watershed scale; however, despite variation in beaver densities (and therefore surface water area) at the watershed scale, regional-scale surface water area was stable through time. This stability appears to have been driven by asynchronous beaver density fluctuations among watersheds, combined with the increasing importance of abandoned ponds. Beavers initially created and occupied larger ponds with greater surface water area, but through time shifted towards occupying smaller ponds. As ponds accumulated on the landscape proportionally more surface water was stored within abandoned ponds, which offset the smaller size of occupied ponds. Beaver engineering—driven by density-dependent mechanisms and the legacy effects from abandoned ponds—not only follows general patterns of patch disturbance dynamics by creating a spatial mosaic of patches, but the organism-created mosaic also appears to generate ecological stability at greater spatial scales. We suggest restoring beavers to landscapes is a viable method for increasing surface water storage and will ultimately help advance numerous conservation and rewilding objectives. Our study demonstrates that ecosystem engineering effects can be scale-dependent, indicating researchers should evaluate the ecological impact of engineers across diverse spatiotemporal scales to fully understand their functional roles in ecosystems.</span></p>
Fig. 1. Anchonidium unguiculare, morphological details. Scale bars 0.25 in On Anchonidium Bedel, 1884 sensu stricto, with descriptions of two new species from the Iberian peninsula (Coleoptera, Curculionidae: Molytinae)
Fig. 1. Anchonidium unguiculare, morphological details. Scale bars 0.25 mm. (A) Dorsum of rostrum. (B) Underside rostrum with beard like bristles and conjoint antennal grooves. (C) Ventral view on pronotum with faint and shallow rostral notch and narrow standing procoxae. (D) Lateral view on rostrum. (E) Mesocoxae and mesosternal process. (F) Pronotum surface. (G) Dorsofrontal view on head and pronotum. (H) Right protarsus and apex of protibia. (I) Right antenna with bowl shaped club.
Figure 2 in First association of scale insects (Hemiptera: Diaspididae) with Salacia crassifolia (Mart. Ex Schult.) G. Don. (Celastraceae)
Figure 2. Melanaspis aristotelesi associated with Salacia crassifolia in Brasilia, Brazil. a) S. crassifolia tree infested with diaspidids. b) Upper surface of leaf highly infested with diaspidids. c) Detail of the M. aristotelesi scales.
Simulated treatment effects on bird communities inform landscape‐scale dry conifer forest management
<p>Human land use and climate change have increased forest density and wildfire risk in dry conifer forests of western North America, threatening various ecosystem services, including habitat for wildlife. Government policy supports active management to restore historical structure and ecological function. Information on potential contributions of restoration to wildlife habitat can allow assessment of tradeoffs with other ecological benefits when prioritizing treatments. We predicted avian responses to simulated treatments representing alternative scenarios to inform landscape‐scale forest management planning along the Colorado Front Range. We used data from the Integrated Monitoring in Bird Conservation Regions program to inform a hierarchical multispecies occupancy model relating species occupancy and richness with canopy cover at two spatial scales. We then simulated changes in canopy cover (remotely sensed in 2018) under three alternative scenarios, (1) a "fuels reduction" scenario representing landscape‐wide 30% reduction in canopy cover, (2) a "restoration" scenario representing more nuanced, spatially variable treatments targeting historical conditions, and (3) a reference, no‐change scenario. Model predictions showed areas of potential gains and losses for species richness, richness of ponderosa pine forest habitat specialists, and the ratio of specialists to generalists at two (1 km<sup>2</sup> and 250 m<sup>2</sup>) spatial scales. Under both fuels reduction and restoration scenarios, we projected greater gains than losses for species richness. Surprisingly, despite restoration more explicitly targeting ecologically relevant historical conditions, fuels reduction benefited bird species richness over a greater spatial extent than restoration, particularly in the lower montane life zone. These benefits reflected generally positive species associations with moderate canopy cover promoted more consistently under the fuels reduction scenario. In practice, contemporary forest management is likely to lie somewhere between the fuels reduction and restoration scenarios represented here. Therefore, our results inform where and how active forest management can best support avian diversity. Although our study raises questions regarding the value of including landscape‐scale heterogeneity as a management objective, we do not question the value of targeting finer-scale heterogeneity (i.e., stand and treatment level). Rather, our results combined with those from previous work clarify the scale at which targeting structural heterogeneity and historical reference conditions can promote particular ecosystem services.</p>
Contributions of Anomalous Large-Scale Circulations to the Absence of Tropical Cyclones over the Western North Pacific in July 2020
<p>The datasets are for the article 'Contributions of Anomalous Large-Scale Circulations to the Absence of Tropical Cyclones over the Western North Pacific in July 2020', including the WRF Initial conditions (horizontal wind at 850 hPa, geopotential height at 850 and 200 hPa) of sensitivity experiments (CTRL, W_WNPSH, W_SAH, W_TUTT, and S_SASM) in July 2020, and the formation records of the simulated TC formation in all experiments.</p>
. mm 5 = bars Scale. aspect Ventral. B. aspect Dorsal. A. habitus,) 01407 T CNAN (♂,. nov. sp, chanae Centruroides. 40 FIGURE in Systematic Revision Of The Arboreal Neotropical "Thorellii" Clade Of Centruroides Marx, 1890, Bark Scorpions (Buthidae C.L. Koch, 1837) With Descriptions Of Six New Species
. mm 5 = bars Scale. aspect Ventral. B. aspect Dorsal. A. habitus,) 01407 T CNAN (♂,. nov. sp, chanae Centruroides. 40 FIGURE
. mm 5 = bars Scale. aspect Ventral. B. aspect Dorsal. A. habitus,) 9073278 CASENT (♂, 1995 Sissom schmidti Centruroides. 36 FIGURE in Systematic Revision Of The Arboreal Neotropical "Thorellii" Clade Of Centruroides Marx, 1890, Bark Scorpions (Buthidae C.L. Koch, 1837) With Descriptions Of Six New Species
. mm 5 = bars Scale. aspect Ventral. B. aspect Dorsal. A. habitus,) 9073278 CASENT (♂, 1995 Sissom schmidti Centruroides. 36 FIGURE
Environment and density-dependency explain the fine-scale distribution of tree recruits before and after thinning
<p>Dataset used in the article "Environment and density-dependency explain the fine-scale distribution of tree recruits before and after thinning" in PeerJ</p>
A closer look: High-resolution pore-scale simulations of solute transport and mixing through porous media columns
<p>This dataset contains the results of fluid flow (Navier-Stokes) and solute transport (Advection-Diffusion) simulations within columns of granular media generated by virtual gravitational settling of spherical grains. The experiments comprise three media with different degrees of grain-size variability; a range of grain-Peclet numbers is explored. See the homonymous research paper by Sole-Mari et al. (2022, Water Resources Research) for more information.</p> <p>Grains.zip: Positions and radii of the spherical grains for each value of grain-size variability sigma (Matlab's .mat format).</p> <p>ResultsCoarse.zip: Coarse-scale data presented in the aforementioned WRR paper (Matlab's .mat format).</p> <p>Link to the full micro-scale dataset: (soon available)</p> <p>We thankfully acknowledge the computer resources at MareNostrum and the technical support provided by the Barcelona Supercomputing Center (AECT-2019-3-0014).</p> <p> </p>
The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse
<p>The Reddit Politosphere is a large-scale resource of online political discourse covering more than 600 political discussion groups over a period of 12 years. Based on the <a href="https://doi.org/10.5281/zenodo.3608135">Pushshift Reddit Dataset</a>, it is to the best of our knowledge the largest and ideologically most comprehensive dataset of its type now available. One key feature of the Reddit Politosphere is that it consists of both text and network data. We also release annotated metadata for subreddits and users.</p> <p>Documentation and scripts for easy data access are provided in an associated <a href="https://github.com/valentinhofmann/politosphere">repository</a> on GitHub.</p>
2018 NSF Large Scale Experiment Workshop on Volcanic Blasts
<p><em><strong>A collection of datasets which were recorded at the 2018 NSF Large Scale Experiment Multiblast workshop on volcanic hazards</strong></em>. The workshop aimed to facilitate interdisciplinary collaboration and improve field-scale testing of monitoring methods and models. The workshop had 47 participants from US-based and international institutions. <a href="https://doi.org/10.1029/2018EO109237">Read some more details in this EOS article</a> or a <a href="https://doi.org/10.31223/X55W4F">full manuscript which is currently in review</a>.</p> <p><strong>attention</strong>: This dataset is UNDER CONSTRUCTION. It is close to, but not absolutely complete. We will publish version 1.0 once the accompanying JGR manuscript has been approved for publication.</p> <p>All data is provided in several zip archives, and small files containing metadata and descriptions. Large data chunks are separated into 'pads' (1–4), which refer to the four experiments that were performed. The archives contain a folder structure, which should allow for compatible extractions, so that archives can be downloaded to a common local folder (e.g. using a script) and extracted there without running into file name conflicts.</p> <p>Several teams collaborated to come up with this dataset. Below we list the teams from which data was used and is part of the current version of the dataset. More data may be published in the future and added in a later version. The teams collaborated to varying degrees for different tasks.</p> <p><strong>Teams</strong> in <em>alphabetical</em> order:</p> <ul> <li>Baylor<br> Baylor University<br> Lead by Kenneth Befus</li> <li>BYU<br> Brigham Young University<br> Lead by Neilsen<br> Contributors: TODO</li> <li>INGV<br> Istituto Nazionale di Geofisica e Vulcanologia, Rome<br> Lead by Taddeucci<br> Contributors: Ricci</li> <li>LDEO<br> Lamont Doherty Earth Observatory, Columbia University<br> Lead by Lev, Oppenheimer</li> <li>MTU<br> Michigan Tech University<br> Lead by Waite<br> Contributors: TODO</li> <li>UB<br> University at Buffalo<br> Lead by Sonder, Valentine<br> Contributors: David Hyman, Kayley DiemKaye, Norman Yu</li> <li>UCSB<br> University of California Santa Barbara<br> Lead by Matoza<br> Contributors: Sean Maher, Richard Sanderson</li> <li>UMKC<br> University of Missouri, Kansas City<br> Lead by Graettinger<br> Contributors: Kadie Bennis</li> <li>Yamagata<br> Yamagata University<br> Lead by Kae Tsunematsu</li> </ul> <p><strong>Parts of This Dataset</strong></p> <ul> <li><em>Coordinates & Positions:</em><br> Lead by the UB team.<br> Coordinates and Locations of Blast Charges, Sensors etc.</li> <li> <p><em>Elevation Data of Craters:</em><br> Lead by the UMKC and LDEO teams (Graettinger, Lev).<br> Elevation data were created from photographs taken right after charge detonations. The 3D-data was derived in a standard photogrammetry software (Metashape™). This data was then rasterized and imported into ArcGIS™, and is provided here. Fine adjustments were made to better match reference locations of the available site coordinate system.</p> </li> <li> <p><em>Ejecta Data:</em><br> Lead by the UMKC team.<br> Spatial distribution of ejected material.<br> The <code>.csv</code> files contain the same information as the Excel sheet, but do not contain any graphs.</p> </li> <li> <p><em>Airborne Pressure Data:</em><br> Lead by the BYU team.<br> Archive files: <code>buy_pad[i].zip</code>.<br> Data is arranged in four zip-archives, one for each blast sequence ("Pad"). Each file contains time and pressure arrays and some metadata of one microphone channel. Individual sensor locations are in the <code>positions.zip</code>.</p> <ul> <li>Format: Matlab <code>.mat</code></li> <li>File name patterns after unpacking:<br> <code>data/BYU Acoustics/Data/Aligned with Infra peaks/Pad [i]/TimeSyncPad[i]Ch[k].mat</code><br> <code>[i]</code>: Pad number (1 ... 4)<br> <code>[k]</code>: Channel number.</li> </ul> </li> <li> <p><em>Seismo-Acoustic Data:</em><br> Lead by two teams, UCSB and MTU, who deployed horizontally distributed (UCSB) and vertically distributed (MTU) seismometer stations, and infrasound sensors. MTU also provided a geophone chain. Some of the UCSB sensors were combined with the rapid BYU provided microphones to record a very wide frequency spectrum in ground and atmosphere.</p> <ul> <li> <p>UCSB data structure:<br> Data archives are provided in sensor groups for all experiments (pads). Archive file names are <code>ucsb_[sensor_type]_[sensor_gid].zip</code>. <code>[sensor_type]</code> is one of <code>inf</code> or <code>seis</code>. <code>[sensor_gid]</code> is an identifier for the sensor group (may also be a single sensor) the archive contains. E.g. <code>inf_nyi1</code> contains infrasound data of sensors <code>NYI1.1</code>, <code>NYI1.2</code> and <code>NYI1.3</code>. Use the preview window above to look into the archives. The <code>position</code> archive contains the sensor locations.</p> </li> <li> <p>MTU data structure:<br> Data archives (<code>mtu_seis-infr_pad[i].zip</code>) are organized in 'pads' 1 ... 4 and contain all sensors (infrasound, seismometer, geophones).</p> </li> </ul> </li> <li> <p><em>Video Material:</em><br> No leading team here. Cameras were contributed teams by INGV, LDEO, Yamagata, UB.<br> A drone was deployed for a map-view. Six or more cameras for each pad. Read the <code>video_readme.pdf</code> for details about camera locations and types.</p> </li> </ul> <p><strong>Changes</strong></p> <ul> <li>v0.5:<br> Added the <code>drone2</code> videos from Baylor. (All video zips were updated!)</li> <li>v0.4:<br> Added analysis pack 1 (<code>multiblast_analysis-pack1.zip</code>) code that produced figures and tables of the ms in review. This code is also available on <a href="https://gitlab.com/isonder/2018_blasts">gitlab.com/isonder/2018_blasts</a>.</li> <li>v0.3:<br> Added <code>mtu_seis_infr_metadata.zip</code>. Metadata for the MTU dataset.</li> <li>v0.2:<br> Second batch of main data. >90% complete, I guess.</li> <li>v0.1:<br> First batch of main data.</li> </ul>
Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex
<p><span>Recent advances in multi-electrode array technology have made it possible to monitor large neuronal ensembles at cellular resolution in animal models. In humans, however, c</span>urrent approaches restrict recordings to few neurons per penetrating electrode or combine the signals of thousands of neurons in local field potential (LFP) recordings. Here, we describe a new probe variant and set of techniques which enable simultaneous recording from over 200 well-isolated cortical single units in human participants during intraoperative neurosurgical procedures using silicon Neuropixels probes. We characterized a diversity of extracellular waveforms with eight separable single unit classes, with differing firing rates, locations along the length of the electrode array, waveform spatial spread, and modulation by LFP events such as inter-ictal discharges and burst suppression. While some challenges remain in creating a turn-key recording system, high-density silicon arrays provide a path for studying human-specific cognitive processes and their dysfunction at unprecedented spatiotemporal resolution. </p>
Data for: Evaluation of a full-scale wastewater treatment plant with ozonation and different post-treatments using a broad range of in vitro and in vivo bioassays
<p>This repository contains research data linked to the following publication: Kienle, C., Werner, I., Fischer, S., Lüthi, C., Schifferli, A., Besselink, H., Langer, M., McArdell, C.S. and Vermeirssen, E.L.M. 2022. Evaluation of a full-scale wastewater treatment plant with ozonation and different post-treatments using a broad range of <em>in vitro</em> and <em>in vivo</em> bioassays. Water Research, 118084. https://doi.org/10.1016/j.watres.2022.118084</p> <p>Abstract: Micropollutants present in the effluent of wastewater treatment plants (WWTPs) after biological treatment are largely eliminated by effective advanced technologies such as ozonation. Discharge of contaminants into freshwater ecosystems can thus be minimized, while simultaneously protecting drinking water resources. However, ozonation can lead to reactive and potentially toxic transformation products. To remove these, the Swiss Federal Office for the Environment recommends additional "post-treatment" of ozonated WWTP effluent using sand filtration, but other treatments may be similarly effective. In this study, 48 h composite wastewater samples were collected before and after full-scale ozonation, and after post-treatments (full-scale sand filtration, pilot-scale fresh and pre-loaded granular activated carbon, and fixed and moving beds). Ecotoxicological tests were performed to quantify the changes in water quality following different treatment steps. These included standard <em>in vitro</em> bioassays for the detection of endocrine, genotoxic and mutagenic effects, as well as toxicity to green algae and bacteria, and flow-through <em>in vivo</em> bioassays using oligochaetes and early life stages of rainbow trout.</p> <p>Results show that ozonation reduced a number of ecotoxicological effects of biologically treated wastewater by 66 - 93 %: It improved growth and photosynthesis of green algae, decreased toxicity to luminescent bacteria, reduced concentrations of hormonally active contaminants and significantly changed expression of biomarker genes in rainbow trout liver. Bioassay results showed that ozonation did not produce problematic levels of reaction products overall. Small increases in toxicity observed in a few samples were reduced or eliminated by post-treatments. However, only relatively fresh granular activated carbon (analyzed at 13,000 - 20,000 bed volumes) significantly reduced effects additionally (by up to 66 %) compared to ozonation alone. Inhibition of algal photosynthesis, rainbow trout liver histopathology and biomarker gene expression proved to be sufficiently sensitive endpoints to detect the change in water quality achieved by post-treatment.</p>
Quantitative raw data for "Large scale regional citizen surveys report" (D1.4)
<p>This dataset presents the quantitative raw data that was collected under the H2020 RRI2SCALE project for the D1.4 - “Large scale regional citizen surveys report”. The dataset includes the answers that were provided by almost 8,000 participants from 4 pilot European regions (Kriti, Vestland, Galicia, and Overijssel) regarding the general public's views, concerns, and moral issues about the current and future trajectories of their RTD&I ecosystem. The original survey questionnaire was created by White Research SRL and disseminated to the regions through supporting pilot partners. Data collection took place from June 2020 to September 2020 through 4 different waves – one for each region. Based on the conclusion of a consortium vote during the kick-off meeting, it was decided that instead of resource-intensive methods that would render data collection unduly expensive, to fill in the quotas responses were collected through online panels by survey companies that were used for each region. For the statistical analysis of the data and the conclusions drawn from the analysis, you can access the "Large scale regional citizen surveys report" (D1.4).</p>
The Data Set for the Publication "Laboratory Testing of Small Scale Solar Facade Module with Phase Change Material and Adjustable Insulation Layer"
<p>In the scope of the ambitious EU goals of carbon neutrality in 2050, building energy efficiency is one of the crucial segments. To ensure a faster energy transition process, innovations are needed at various built environment-related sectors - starting from building components up to urban level energy management advancements.</p> <p>Phase change material (PCM) enriched building components allow to shift the existing paradigm - to make a switch from the static building components to dynamic ones able to take an active part in building energy balance by ensuring energy storage in the building thermal envelope.</p> <p>The data set presented here supports the paper "Laboratory Testing of Small Scale Solar Facade Module with Phase Change Material and Adjustable Insulation Layer". The design of the façade module, experimental setup, used equipment, the plan of the experiment, and obtained results are described in the paper. The provided data set provides heat-flux and average temperature (in PCM) measurements.</p>
Data from: Data-driven bioregionalization: A seascape-scale study of macrobenthic communities in the Eurasian Arctic
<p><b>Aim: </b>We conduct the first model-based assessment of the biogeographical subdivision of Eurasian Arctic seas to (1) delineate spatial distribution and boundaries of macrobenthic communities on a seascape level; (2) assess the significance of environmental drivers of macrobenthic community structures; (3) compare our modelling results to historical biogeographical classifications; and (4) couple the model to climate-change scenarios of environmental changes to project potential shifts in the distribution and composition of macrobenthic communities by 2100.</p> <p><b>Location: </b>Eurasian Arctic seas, in particular Barents, Kara, and Laptev Seas</p> <p><b>Taxon: </b>Macrobenthic fauna</p> <p><b>Methods: </b>We employed the Region of Common Profile (RCP) approach to assess the regionalization patterns of Eurasian Arctic seafloor communities.</p> <p><b>Results: </b>Four RCPs were identified based on the spatial distribution patterns of 169 macrobenthic species and a set of environmental factors, such as sediment composition, sea-ice concentration, depth of the euphotic zone, particulate organic carbon concentration at the ocean surface, as well as near-bottom water temperature and salinity. The identified regions are in strong agreement with previous classifications of macrobenthic communities. The projections are driven by climate-change scenario "Representative Concentration Pathway 6.0" suggested a general eastward shift of the RCPs over the 21st century, correlated to retreating sea-ice and increasing sea-bottom temperature.</p> <p><b>Main conclusions:</b> The RCP approach allowed us to identify seascape-scale distribution patterns of macrobenthic communities in Eurasian Arctic seas by simultaneously considering biotic and environmental data within one modelling step. This technique can represent biota and ecoregions in a probabilistic form together with assessment of uncertainties of the predictions, and assess the significance of a broad selection of environmental drivers. This first quantitative assessment of potential climate-driven changes in macrobenthic biodiversity will promote their inclusion in conservation measures.</p>
Exchange scaling of ultrafast angular momentum transfer in 4f antiferromagnets
<p>Raw data for "Exchange scaling of ultrafast angular momentum transfer in 4f antiferromagnets"</p> <p>The h5 files are provided:<br> 1. Windsor_LnRh2Si2_2022_static.h5<br> This file provides the temperature dependences of the 4f moment, as collected from the (001) magnetic reflection (details described in the supplementary materials, section 1.1.<br> The file is divided by Ln ion, for each LnRh2Si2 material. For each material the sample temperature and the moment (normalized) are given.</p> <p>2. Windsor_LnRh2Si2_2022_dynamic.h5<br> This file provides the delay dependences of the 4f moments, as collected from the (001) magnetic reflection (details provided in the methods section). The file is divided by Ln ion, for each LnRh2Si2 material. This is further divided into datasets that correspond to different pump fluences. For each fluence the fields provided are the moment (normalized), the corresponding error (see methods), the delay, and the fluence value.</p>
Data for 'Formalizing Artisanal and Small-scale Gold Mining: a Grand Challenge of the Minamata Convention'
<p>Signatories to the Minamata Convention on Mercury with ‘more than insignificant’ artisanal and small-scale gold mining (ASGM) sectors are required to develop and implement National Action Plans (NAPs) to reform their ASGM sectors in line with Annexe C of the Convention. We compiled the budgets of available NAPs for reducing mercury emissions from ASGM sectors. As of 2021-12-31, these were available for 16 countries from: www.mercuryconvention.org/en/parties/national-action-plans. We used these data to estimate the approximate costs of expanding such approaches globally.</p>
Chromosome-scale, haplotype-resolved genome assembly of Suaeda glauca
<p><em>Suaeda glauca</em>is an annual herb of Suaeda and an important saline-alkali plant resource, which is widespread on beaches and saline lands around the world. It is also a good candidate for food, feed, and drug development. There has been no publication of the <em>Suaeda glauca</em>genome assembly, limiting the evolutionary study of Amaranthaceae and the bioavailability of <em>Suaeda glauca</em>.</p> <p>Using PacBio HiFi and Hi-C sequencing data, we successfully generated chromosome-scale, haplotype-resolved assemblies of the <em>Suaeda glauca</em>genome. The size of the final primary assembly was 622.95 Mb, and the contig N50 was 19.42 Mb, which was successfully anchored to 9 chromosomes, accounting for 96.79% of the total assembly size. The repeat content and genome size of <em>Suaeda glauca</em>are much higher than those of the same genus <em>Suaeda aralocaspica</em>, presumably due to a recent burst of LTR insertions. Using HiFi reads, we assembled the complete circular chloroplast genome of <em>Suaeda glauca</em>. Through gene family and phylogenetic tree analysis, it was shown that <em>Suaeda glauca</em>and <em>Suaeda aralocaspica</em>differentiated at ~26.36 million years ago (MYA), and Amaranthaceae species began to differentiate at ~52.00 MYA.</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.