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zenodo40/100

Fig. 2 in A mountain of millipedes III: A new genus for three new species from the Udzungwa Mountains and surroundings, Tanzania, as well as several 'orphaned' species previously assigned to Odontopyge Brandt, 1841 (Diplopoda, Spirostreptida, Odontopygidae)

Fig. 2. Geotypodon millemanus gen. et sp. nov., paratype from West Kilombero Scarp FR after nine years in alcohol. Photograph by N. Ioannou.

opencc-by-3.0Feb 2016View details →
zenodo40/100

Fig. 3 in A mountain of millipedes III: A new genus for three new species from the Udzungwa Mountains and surroundings, Tanzania, as well as several 'orphaned' species previously assigned to Odontopyge Brandt, 1841 (Diplopoda, Spirostreptida, Odontopygidae)

Fig. 3. Body size of males of Geotypodon spp. Bold symbols indicate numbers of podous rings and midbody vertical diameter of the new species described here. Small circles and shaded areas indicate published measurements for other Geotypodon species.

opencc-by-3.0Feb 2016View details →
zenodo40/100

Fig. 5 in A mountain of millipedes III: A new genus for three new species from the Udzungwa Mountains and surroundings, Tanzania, as well as several 'orphaned' species previously assigned to Odontopyge Brandt, 1841 (Diplopoda, Spirostreptida, Odontopygidae)

Fig. 5. Geotypodon submontanus gen. et sp. nov., holotype. A–E. Left gonopod. A. Anterior view. B. Posterior view. C. Apical part of coxa and proximal part of telopodite, anterior view. D. (Anterior-) mesal view. E. Posterior distal lobe of telomere; insertion highlights spine-like process. F. Limbus. Abbreviations: atl = anterior distal lobe of telomere; itl = intermediate distal lamella of telomere; ll = longitudinal lamella; mla = metaplical lamella; msp = metaplical spine-like process; ptl = posterior distal

opencc-by-3.0Feb 2016View details →
zenodo40/100

Fig. 6 in A mountain of millipedes III: A new genus for three new species from the Udzungwa Mountains and surroundings, Tanzania, as well as several 'orphaned' species previously assigned to Odontopyge Brandt, 1841 (Diplopoda, Spirostreptida, Odontopygidae)

Fig. 6. Geotypodon iringensis gen. et sp. nov. A–D. Holotype, left gonopod. A. Anterior view. B. Posterior view. C. Mesal-ventral view. D. Telomere and solenomere, basal (dorsal) view. — E. Paratype, limbus. Abbreviations: atl = anterior distal lobe of telomere, bl = basal lamella of telomere, cx = coxa (seen from the basis, with remains of muscles); itl = intermediate distal lamella of telomere; lc = lateral concavity of coxa; lfl = longitudinally folded lamella; mf = anteriad metaplical flange; mp = metaplica; msp = metaplical spine-like process; pn = posttorsal narrowing; pp = proplica; ptl = posterior distal lobe of telomere; pts = proximal telomeral spine; slm = solenomere; tl = terminal lobe of telomere; tt = torsotope. Scales: A–D = 0.2 mm, E = 0.01 mm.

opencc-by-3.0Feb 2016View details →
zenodo40/100

Figure 2 in Comparison of the species composition of Gamasina mite communities (Acari: Mesostigmata) in selected caves of the Kraków-Cz stochowa Upland (southern Poland) and their immediate surroundings

Figure 2. Diagram of the correspondence analysis (CA) for the sampling sites. The diagram shows only the most important species (for abbreviations see Table 1).

opencc-by-4.0Nov 2014View details →
zenodo40/100

Binaural room impulse responses of a 5.0 surround setup for different listening positions

<p>Binaural Room Impulse Responses - KEMAR, room Calypso, TU Berlin, 5.0 Surround setup<br /> &nbsp;</p> <p>This dataset contains binaural room impulse responses (BRIRs) measured at nine<br /> different listening positions for a 5.0 surround setup in the listening room<br /> Calypso in the Telefunken building of Technische Universit&auml;t Berlin, Berlin,<br /> Germany. The room has a volume of 83 m&sup3; and a reverberation time RT60 of 0.17 s<br /> at a frequency of 1 kHz.</p> <p>&quot;doc.zip&quot; contains additional information for the measurement,<br /> &quot;*.sofa&quot; are the actual BRIRs, one file for every listening position, where the<br /> position is indicated by the X*-Y*-values.<br /> In order to work with those files you need a SOFA API for your programming<br /> language. For example, the one for Matlab can be found here:<br /> https://github.com/sofacoustics/API_MO/releases/latest<br /> If you want to create a single SOFA file containing all listening positions, you<br /> can execute the &quot;combine_positions.m&quot; script in Matlab after installing and<br /> starting the SOFA API.</p> <p>The BRIRs were with a head-orientation varying in the range of +-90&deg; with 1&deg;<br /> resolution. Room shape and size, listener and sound source positions are shown<br /> in &quot;setup_calypso_surround_genelec8030A.pdf&quot;.</p> <p>Directory &quot;./photos&quot; contains photographs of the measurement setup.</p> <p>Copyright 2016 Hagen Wierstorf</p> <p>Licensed under Creative Commons (CC-BY-4.0)</p>

opencc-by-4.0Apr 2016View details →
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Signal feeds for creating the music mixes for comparison of wave field synthesis, surround, and stereo

<p>Wav files for the comparison of wave field synthesis, surround, and stereo listening test, see</p> <p>C. Hold, H. Wierstorf, A. Raake, The Difference Between Stereophony and Wave Field Synthesis in the Context of Popular Music, in 140th AES Convention, 2016.</p>

opencc-by-4.0Jun 2016View details →
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FIGURE 2. a in A new species of Gegeneophis Peters (Amphibia: Gymnophiona: Caeciliidae) from the surroundings of Mookambika Wildlife Sanctuary, Karnataka, India

FIGURE 2. a. Dorsolateral view of the head, b. Ventral view of the head, c. Ventral view of the body terminus (photographs of the holotype of Gegeneophis madhavai in life).

opencc-zeroDec 2004View details →
zenodo40/100

Binaural room impulse responses of a 5.0 surround setup for different listening positions

<p>This dataset contains binaural room impulse responses (BRIRs) measured at nine<br> different listening positions for a 5.0 surround setup in the listening room<br> Calypso in the Telefunken building of Technische Universität Berlin, Berlin,<br> Germany. The room has a volume of 83 m³ and a reverberation time RT60 of 0.17 s<br> at a frequency of 1 kHz. The measurment was done with Genelec 8030A loudspeakers<br> and repeated for the central listening positon with the larger Genelec 8250A<br> loudspeakers.</p> <p>"doc.zip" contains additional information for the measurement,<br> "*.sofa" are the actual BRIRs, one file for every listening position, where the<br> position is indicated by the X*-Y*-values. The file<br> `KEMAR_Calypso_Surround.sofa` contains all listening positions in one file.<br> In order to work with those files you need a SOFA API for your programming<br> language. For example, the one for Matlab can be found here:<br> https://github.com/sofacoustics/API_MO/releases/latest</p> <p>The BRIRs were with a head-orientation varying in the range of +-90° with 1°<br> resolution. Room shape and size, listener and sound source positions are shown<br> in `setup_calypso_surround_genelec8030A.pdf` and <br> `setup_calypso_surround_genelec8250A.pdf`.</p> <p>Directory "./photos" contains photographs of the measurement setup.</p> <p>Copyright 2016 Hagen Wierstorf</p> <p>Licensed under Creative Commons (CC-BY-4.0)<br>  </p>

opencc-by-4.0Apr 2016View details →
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Listening preferences for the different reproduction systems Stereo, Surround, and Wave Field Synthesis in the context of popular music

<p>We did a paired comparison preference test where listeners rated their listening preference for four different pop musical pieces presented by WFS, stereo or surround. The musical pieces were all mixed by the same person in order to try to minimize the influence of the mix on the ratings, but still trying to get the best out of every system, see [1] for details. The mixes are available at https://doi.org/10.14279/depositonce-5173.</p> <p>Here, we provide the results of the 22 listeners that participated in the experiment together with an analysis which calculates a Bradley-Terry-Luce model after Wickelmayer et al. [2].</p> <p>[1] Hold, C., Wierstorf, H., Raake, A. (2016), “The Difference Between Stereophony and Wave Field Synthesis in the Context of Popular Music,” 140th AES Convention, Paper 9533</p> <p>[2] https://cran.r-project.org/web/packages/eba/index.html</p>

opencc-by-4.0Nov 2016View details →
zenodo40/100

Philippine Sea plate and surrounding magmatism reveal the Antarctic-Zealandia, Pacific, and Indian mantle domain boundaries

<p>This file includes Supplementary data 1-5 and the Supplementary movie 1 for: Shengping Qian, Jeremy Tsung-Jui Wu, Jonny Wu. Philippine Sea plate and surrounding magmatism reveal the Antarctic-Zealandia, Pacific, and Indian mantle domain boundaries. submitted in 2023</p>

opencc-by-4.0Mar 2024View details →
zenodo40/100

Fig. 2 in Carabid beetle (Coleoptera: Carabidae) diversity in agricultural and post-agricultural areas in relation to the surrounding habitats

Fig. 2. Ordination plot based on correspondence analysis (CA) of carabid species (triangles) and study sites (circles).

opencc-by-4.0Dec 2013View details →
zenodo40/100

Figure 2 in Differences in the soil seed bank of a mining area and its surroundings: a case study inserted in the Cerrado domain

Figure 2. Curves of species accumulation for the seed bank of Vazante city, northwest of the state of Minas Gerais, Brazil. A. Accumulation curve for the seed bank and confidence interval in a mining area and surrounding area separated; B. Accumulation curve for the seed bank, confidence interval and first-order Jackknife richness estimator in a mining area and surrounding area together.

opencc-by-4.0Jul 2021View details →
zenodo40/100

Figure 3 in Differences in the soil seed bank of a mining area and its surroundings: a case study inserted in the Cerrado domain

Figure 3. Two-dimensional ordination diagram based on the nonmetric multidimensional scaling (nMDS) for species density of the seed bank from a mining pit and surrounding areas in Vazante municipality, northwest of the state of Minas Gerais, Brazil.

opencc-by-4.0Jul 2021View details →
zenodo40/100

Water sample analysis and satellite imagery of a thermo-erosion gully and its surroundings in Adventdalen, Svalbard.

<h2><strong>Data description</strong></h2> <p>This dataset is part of the supplemental information to the paper "Rapid Ice-Wedge Collapse and Permafrost Carbon Loss Triggered by Increased Snow Depth and Surface Runoff" by Parmentier et al. (2024). It includes the analysis of water quality in and around a thermo-erosion gully on the high-Arctic archipelago of Svalbard, and three satellite images that give an overview of the wider area around this gully in the context of a snow fence experiment (Cooper et al. 2011). More details are provided in Parmentier et al. (2024).</p> <h2><strong>Background</strong></h2> <p>Thicker snow cover in permafrost areas causes deeper active layers and thaw subsidence, which alter local hydrology and may amplify the loss of soil carbon. However, the potential for changes in snow cover and surface runoff to mobilize permafrost carbon remains poorly quantified. The data presented here is part of a study that showed that a snow fence experiment on High-Arctic Svalbard inadvertently led to surface subsidence through warming, and extensive downstream erosion due to increased surface runoff. Within a decade of artificially-raised snow depths, several ice wedges collapsed, forming a 50 m long and 1.5 m deep thermo-erosion gully in the landscape. We estimate that 1.1 to 3.3 tons C may have eroded, and that the gully is a hotspot for processing of mobilised aquatic carbon. Our study show that interactions among snow, runoff and permafrost thaw form an important driver of soil carbon loss.</p> <h2><strong>Water samples</strong></h2> <p>The following datafile includes the analysis of several water samples taken in and near a thermo-erosion gully on Svalbard on August 5<sup>th</sup>&nbsp;and 6<sup>th</sup>, 2017. These were analyzed for dissolved organic carbon (DOC), particulate organic carbon (POC), particulate nitrogen (PN) content, and stable carbon isotope ratios &delta;<sup>13</sup>C-DOC and &delta;<sup>13</sup>C-POC. In addition, temperature, pH, oxygen, and electrical conductivity were measured in the field on the day of sampling. This data is provided in the following Excel file that also includes the latitude and longitude for each sample point:&nbsp;</p> <ul> <li>Parmentier et al - 2024 - Water Sample Analysis.xlsx</li> </ul> <h3><strong>&nbsp;</strong><strong>Sample analysis</strong></h3> <p>A full description of the analysis is repeated here from the supplemental information in the accompanying publication (Parmentier et al. 2024). The water samples were filtered on the day of collection through a pre-combusted glass fiber filter with pore size of 0.7 &micro;m (Whatman, Grade GF/F). After filtration, the filters were packed in aluminum foil and frozen for later analysis of the collected particulate matter. From the filtrate, three samples of ~50 ml were taken and immediately frozen for transport.</p> <p>The filtered water samples were analyzed for their dissolved organic carbon (DOC) content and their stable carbon isotope ratio &delta;<sup>13</sup>C-DOC. This combined analysis was carried out at the labs of UCLouvain, Belgium with an Aurora 1030W TOC Carbon Analyzer, from OI Analytical, coupled to an IRMS (Thermo delta V Advantage). In the Aurora 1030W, the water samples were purged with H<sub>3</sub>PO<sub>4</sub>(phosphoric acid) to remove any dissolved inorganic carbon (DIC). Afterwards, Na<sub>2</sub>S<sub>2</sub>O<sub>8</sub>&nbsp;(sodium persulfate) was added to the heated sample (97 &deg;C) to oxidize any DOC to CO<sub>2</sub>. With N<sub>2</sub>&nbsp;as the carrier gas, the CO<sub>2</sub>&nbsp;was transferred to the analyzing units where the total concentration and &delta;<sup>13</sup>C-DOC of the CO<sub>2</sub>&nbsp;were detected. The &delta;<sup>13</sup>C-DOC samples were calibrated against the certified standard IAEA-CH-6 (-10.449 &plusmn; 0.033 &permil;VPDB) and an internal sucrose standard (-26.99 +/- 0.04 &permil;). The DOC measurements were calibrated against a concentration range (n=8) of the same standards (Morana et al., 2015).</p> <p>&nbsp;The particulate matter retained on the filters was analyzed for particulate organic carbon (POC) and particulate nitrogen (PN) concentrations, as well as &delta;<sup>13</sup>C-POC. The glass fiber filters were subsampled and repeatedly acidified with HCl (1.5 M) in pre-combusted Ag capsules to remove carbonates. Analyses were performed at the Stable Isotope Facility of the University of California in Davis using an Elementar Vario EL Cube (Elementar Analysensysteme GmbH, Hanau, Germany) connected to a PDZ Europa 20-20 isotope ratio mass spectrometer (Sercon Ltd., Cheshire, UK). Isotope ratios of &delta;<sup>13</sup>C are reported relative to the international standard VPDB (Vienna PeeDee Belemnite).</p> <h2><strong>Satellite imagery</strong></h2> <p>To show the development of the thermo-erosion gully over time, we provide three high resolution satellite images from the Digital Globe constellation of satellites. The areal extent of these images covers the entire snow fence experiment in the valley of Adventdalen on Svalbard. They were acquired on August 5<sup>th</sup>, 2011, August 30<sup>th</sup>, 2013, and July 9<sup>th</sup>, 2015 by the WorldView-2, GeoEye-1 and WorldView-3 satellites, respectively. These images are provided as GeoTiffs &ndash; projected in the UTM 33X coordinate system:</p> <ul> <li>SnoEco_2011AUG05_WV2_MUL_Pansharpened_bco_rcs_dobj.tif</li> <li>SnoEco_2013AUG30_GE1_MUL_Pansharpened_bco_rcs_dobj.tif</li> <li>SnoEco_2015JUL09_WV3_MUL_Pansharpened_bco_rcs_dobj.tif</li> </ul> <p>Each of these files includes the following color bands:&nbsp;</p> <ul> <li>Band 1: Blue</li> <li>Band 2: Green</li> <li>Band 3: Red</li> <li>Band 4: Near Infrared</li> </ul> <p>In addition, the images are clipped to the following coordinate bounds (in UTM 33X):</p> <ul> <li> <p><span>x<sub>min</sub>, x<sub>max</sub></span><span>: 523740, 524825</span></p> </li> <li> <p><span>y<sub>min</sub>, y<sub>max</sub></span><span>: 8677150, 8678100</span></p> </li> </ul> <p>For full details on these satellite products, we refer to DigitalGlobe/Maxar.<strong>&nbsp;</strong></p> <h3><strong>Image processing</strong></h3> <p>The satellite imagery was processed according to DigitalGlobe guidelines and calibration coefficient adjustment factors. The radiometrically corrected source images were first converted to top-of-the-atmosphere spectral radiance, and thereafter to top-of-the-atmosphere reflectance. Following this processing, each color band of the image was pansharpened (using Bicubic interpolation) with the RCS algorithm in the Orfeo ToolBox of QGIS 2.18 to increase the horizontal resolution to ~50 cm. To reduce haze effects, the images were further corrected through a dark object subtraction (bottom 1 percentile of the blue band) which was applied to each band separately. Subsequent negative values were set to zero.<strong>&nbsp;</strong></p> <h2><strong>Acknowledgments</strong></h2> <p>This research was funded by the Research Council of Norway (RCN; grant agreement 230970), and the FRAM - Terrestrial flagship (362255 and 642018). F.J.W.P. and S.W. received additional funding from the RCN (grant agreement 323945). The high-resolution satellite imagery comes courtesy of the DigitalGlobe Foundation. We thank UCLouvain and the University of California, Davis for assisting in the sample analysis.<strong>&nbsp;</strong></p> <h2><strong>References</strong></h2> <p>Cooper, E. J., Dullinger, S., &amp; Semenchuk, P. (2011). Late snowmelt delays plant development and results in lower reproductive success in the High Arctic.&nbsp;<em>Plant Science</em>, 180(1), 157&ndash;167. https://doi.org/10.1016/j.plantsci.2010.09.005</p> <p>Morana, C., Darchambeau, F., Roland, F. A. E., Borges, A. V., Muvundja, F., Kelemen, Z., et al. (2015). Biogeochemistry of a large and deep tropical lake (Lake Kivu, East Africa: insights from a stable isotope study covering an annual cycle.&nbsp;<em>Biogeosciences</em>, 12(16), 4953&ndash;4963. https://doi.org/10.5194/bg-12-4953-2015</p> <p>Parmentier, F. J. W., Nilsen, L, T&oslash;mmervik, H., Meisel, O. H., Br&ouml;der, L., Vonk, J. E., Westermann, S., Semenchuk, P. R., Cooper, E. J., Rapid Ice-Wedge Collapse and Permafrost Carbon Loss Triggered by Increased Snow Depth and Surface Runoff,&nbsp;<em>Geophysical Research Letters</em>, In press</p>

opencc-by-nc-4.0Apr 2024View details →
zenodo40/100

РИС. 1. Схематичное иЗображение глаЗа наЗемного лёгочного моллюска. СокраЩениЯ: c – роговица; ec – глаЗнаЯ капсула; r – сетчатка; p – краЯ Зрачка; l – хрусталик, окруженный слоем стекловидного тела; L abs – абсолютное расстоЯние между Зрачком и наружной поверхностью хрусталика; D l – продольный диаметр хрусталика; А – абсолютный диаметр Зрачabs ка; D – поперечный диаметр глаЗа. FIG. 1. Schematic drawing of the eye of a terrestrial pulmonate mollusk. Abbreviation: c – cornea; ec – eye capsule; r – retina; p – edges of the pupil; l – lens, surrounded by a layer of the vitreous body; L abs – the absolute distance between the pupil and the outer surface of the lens; D l – the longitudinal diameter of the lens; А abs – the absolute diameter of the pupil; D e – the transverse diameter of the eye. in Зрачок камерных глаЗ наЗемных брюхоногих моллюсков (Heterobranchia, Stylommatophora)

РИС. 1. Схематичное иЗображение глаЗа наЗемного лёгочного моллюска. СокраЩениЯ: c – роговица; ec – глаЗнаЯ капсула; r – сетчатка; p – краЯ Зрачка; l – хрусталик, окруженный слоем стекловидного тела; L abs – абсолютное расстоЯние между Зрачком и наружной поверхностью хрусталика; D l – продольный диаметр хрусталика; А – абсолютный диаметр Зрачabs ка; D – поперечный диаметр глаЗа. FIG. 1. Schematic drawing of the eye of a terrestrial pulmonate mollusk. Abbreviation: c – cornea; ec – eye capsule; r – retina; p – edges of the pupil; l – lens, surrounded by a layer of the vitreous body; L abs – the absolute distance between the pupil and the outer surface of the lens; D l – the longitudinal diameter of the lens; А abs – the absolute diameter of the pupil; D e – the transverse diameter of the eye.

opencc-by-4.0Jun 2023View details →
zenodo40/100

РИС. 2. ГлаЗ Monachoides incarnata. A. ФотографиЯ препарата иЗолированного глаЗа. B. ФотографиЯ продольного полутонкого среЗа глаЗа. СокраЩениЯ: c – роговица; ec – глаЗнаЯ капсула; r – сетчатка; p – краЯ Зрачка; l – хрусталик, окруженный слоем стекловидного тела. FIG. 2. The eye of Monachoides incarnata. A. Photograph of the preparation of the isolated eye. B. Photograph of the longitudinal semithin section of the eye. Abbreviation: c – cornea; ec – eye capsule; r – retina; p – edges of the pupil; l – lens, surrounded by a layer of the vitreous body. in Зрачок камерных глаЗ наЗемных брюхоногих моллюсков (Heterobranchia, Stylommatophora)

РИС. 2. ГлаЗ Monachoides incarnata. A. ФотографиЯ препарата иЗолированного глаЗа. B. ФотографиЯ продольного полутонкого среЗа глаЗа. СокраЩениЯ: c – роговица; ec – глаЗнаЯ капсула; r – сетчатка; p – краЯ Зрачка; l – хрусталик, окруженный слоем стекловидного тела. FIG. 2. The eye of Monachoides incarnata. A. Photograph of the preparation of the isolated eye. B. Photograph of the longitudinal semithin section of the eye. Abbreviation: c – cornea; ec – eye capsule; r – retina; p – edges of the pupil; l – lens, surrounded by a layer of the vitreous body.

opencc-by-4.0Jun 2023View details →
zenodo40/100

Plymouth sound and surroundings surface temperature and salinity from FVCOM model

<p>Output of surface temperature and salinity from a high-resolution model of the Plymouth sound and surrounding areas, monthly files covering from May - October 2016. The model setup is as for the operational model (https://www.plymouthmarineforecasts.org/) except with observed river flows and boundary forcing was bias corrected against observations from the L4 buoy timeseries (https://www.westernchannelobservatory.org.uk/). This dataset was used in calculations of coastal CO2 flux in:</p> <p>bg-2021-166<br> Title: Tidal mixing of estuarine and coastal waters in the Western English Channel is a control on spatial and temporal variability in seawater CO2<br> Author(s): Richard Peter Sims et al.</p> <p>The code and model mesh data required to create plots therein are also included in plot_data.zip</p>

opencc-by-4.0Mar 2022View details →
zenodo40/100

Descriptive catalogue of the Texts Surrounding Texts Project

<p>The descriptive catalogue can be browsed at <a href="https://tst-project.github.io/mss">https://tst-project.github.io/mss</a></p>

openother-openApr 2022View details →
dryad40/100

Flying insect biomass is negatively associated with urban cover in surrounding landscapes

<p><strong>Aim</strong></p> <p>In this study, we assessed the importance of local to landscape-scale effects of land cover and land use on flying insect biomass. Our main prediction was that insect biomass would be lower within more intensely used land, especially in urban areas and farmland. Location Denmark and parts of Germany.</p> <p><strong>Methods</strong></p> <p>We used rooftop-mounted car nets in a citizen science project ('InsectMobile') to allow for large-scale geographic sampling of flying insects. Citizen scientists sampled insects along 278 five km routes in urban, farmland and semi-natural (grassland, wetland and forest) landscapes in the summer of 2018. The bulk insect samples were dried overnight to obtain the sample dry weight/biomass. We extracted proportional land use variables in buffers between 50 and 1000 m along the routes and compiled them into land cover categories to examine the effect of each land cover, and specific land use types, on insect biomass.</p> <p><strong>Results</strong></p> <p>We found a negative association between urban cover and insect biomass at a landscape-scale (1000 m buffer) in both countries. In Denmark, we also found positive effects of all semi-natural land cover types, i.e. protected grassland (largest at the landscape-scale, 1000 m) and forests (largest at intermediate scales, 250 m). Protected grassland cover had a more positive effect on insect biomass than forest cover. The positive association between insect biomass and farmland was not clearly modified by any variable associated with farmland use intensity. The negative association between insect biomass and urban land cover appeared to be lessened by increased urban green space.</p> <p><strong>Main conclusions</strong></p> <p>Our results show that land cover has an impact on flying insect biomass with the magnitude of this effect varying across spatial scales. However, the vast expanse of grey space in urbanised areas has a direct negative impact on flying insect biomass across all spatial scales examined.</p>

opencc-zeroApr 2022View 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