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2,135 results for “stabling”
Novel modelling of ultracompact X-ray binary evolution - stable mass transfer from white dwarfs to neutron stars
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2017MNRAS.470L...6S/abstract">Novel modelling of ultracompact X-ray binary evolution - stable mass transfer from white dwarfs to neutron stars</a></p>
Constructing stable 3D hydrodynamical models of giant stars
<p>MESA inlist associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017A&A...599A...5O">Ohlmann et al. (2017)</a>. MESA version 6208.</p> <p>Publication DOI: <a href="https://doi.org/10.1051/0004-6361/201629692">10.1051/0004-6361/201629692</a></p>
Fault reactivation during fluid pressure oscillations: transition from stable to unstable slip
<p>This is the ReadMe file corresponding to the study entitled: "Fault reactivation during fluid pressure oscillations: transition from stable to unstable slip"</p> <p>By Noël C., Passelègue X.F, Giorgetti C., Violay M.</p> <p>This study has been published in the Journal of Geophysical Research: Solid Earth under Copyright on October 2019. <br> doi:</p> <p>This Read-Me file has been last edited on October 2019</p> <p>This readme file describes the data repository and supplementary files accompanying the above publication. <br> For any further queries please contact corentin.noel@epfl.ch</p>
Neural pathways and computations that achieve stable contrast processing tuned to natural scenes
<h1>Gur et al. 2024 database</h1> <p>Source data of the paper Gür et al. 2024, “Neural pathways and computations that achieve stable contrast processing tuned to natural scenes”, Nature Communications. This work contains an analysis of post-receptor luminance gain in the Drosophila visual system, focusing on the circuitry and algorithms for implementation of rapid luminance gain control.</p> <p>All data can be analyzed using the code provided in the Github repository: <a href="https://github.com/silieslab/Gur-etal-2024">https://github.com/silieslab/Gur-etal-2024</a>. Please go to the “Readme” file in the repository for how to use the code.</p> <h2>Raw data</h2> <p>All raw data is located in the folder “raw_data”. "Readme" file located in the code repository will guide you on how to analyze all data.</p> <h2>Processed data</h2> <p>All processed data is located in the folder “processed_data”. "Readme" file located in the code repository will guide you on how to analyze all data.</p> <p>- 2p_imaging_python_pickle: Processed data stored as .pickle files. <br>- Dm12_Figure7_Mat_files: Processed data for Dm12 imaging and optogenetics experiments presented in Figure 7 stored as .mat files.<br>- EM_data: Processed data for EM analysis done in Figure 7.<br>- Figure 6 Tm9 flpSTOP: tdTomato expression data for Figure 6 Tm9 flpSTOP experiments.<br>- Figure S5 Tm1 flpSTOP: tdTomato expression data for FigureS5 Tm1 flpSTOP experiments.</p>
Stable isotope records and bulk chemical compositions of the early Paleogene intervals of ODP Hole 762C
<p>In this study, we examined marine carbonate sediments of the late Paleocene to middle Eocene interval from the ODP Hole 762C, located on the Exmouth Plateau in the mid-latitude eastern Indian Ocean. This new dataset includes bulk carbonate δ<sup>13</sup>C and δ<sup>18</sup>O records, as well as bulk chemical composition of the sediments. By combining δ<sup>13</sup>C data with previously published magneto-biostratigraphic records, we revised the age model based on the newly identified hyperthermal event layers.</p> <p>Description of files:</p> <ul> <li>Supporting Table S3 : Bulk δ<sup>13</sup>C and δ<sup>18</sup>O data of ODP Hole 762C.</li> <li>Supporting Table S4 : Major and trace element data of ODP Hole 762C</li> </ul>
Dataset (Part II) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part II of the dataset (from sub-06 to sub-09).</strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part I) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-01 to sub-05) and <em>Dataset (Part III) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (sub-10)</p>
Dataset (Part III) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part III of the dataset (sub-10). </strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part I) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-01 to sub-05) and <em>Dataset (Part II) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-06 to sub-09) </p>
Dataset (Part I) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part I of the dataset (from sub-01 to sub-05).</strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part II) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-06 to sub-09) and <em>Dataset (Part III) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (sub-10)</p>
Dominant controls on coastal saline groundwater across North America: groundwater head and density interface at the stable state
<p>Resulting datasets described and evaluated in "Dominant controls on coastal saline groundwater across North America". </p> <p>The CSV's data is organized in columns.</p> <p>They contain the columns "spatID", "lat", "lon" and "head 492" / "zeta1 492", respectively. </p> <p>The columns "spatID" may be used to merge the two datasets.</p>
Stable isotope data for oxygen and hydrogen and electron microprobe data in phyllosilicates and clumped isotopes of carbonates from paleosols, Illinois Basin, USA
<p>Datasets including stable isotope data for oxygen and hydrogen of phyllosilicates, electron microprobe data of phyllosilicates, and clumped isotope data of carbonates from paleosols of the Illinois Basin, accompanying publication.</p>
Rawdata for publication: An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy
<p>This is the raw dataset for the publication: An Efficient and Stable Polarizing Agent for In-Cell Magic-Angle Spinning Dynamic Nuclear Polarization NMR Spectroscopy. It contains the EPR and NMR data used in this publication. DOI of this pubcliation: 10.1021/acs.jpclett.4c02709</p>
Using stable isotopes to link biogeochemical processes to biodiversity of conservation concern
<b>Description: </b><p>This data was collected at the SAFE experimental area, and two primary forest sites within the greater SAFE landscape: the Danum Valley conservation area (DVCA; N4.962°, E117.689°) and Maliau Basin conservation area (MBCA; N4.853°, E116.844°), located 36 Km north and 69 Km west of the SAFE project, respectively. DVCA is a 438 Km2 lowland dipterocarp forest reserve close to the Segama River at 210 m elevation. In comparison, MBCA is a 588 Km2 lowland and hill dipterocarp forest reserve, close to the Maliau River and reaching 1, 675 m at the highest point. Both are afforded the highest status as Class I Protected Forest Reserves by the Sabah state government, owing to the value of the areas for conservation and education. <br>In 2015 we sampled all six SAFE sites. In 2016 we did not resample one of the repeatedly logged-forest sites ('F') for logistical reasons, but extended sampling to include primary forest sites Maliau and Danum. In each year, we performed ten nights of trapping using six four-bank harp traps set along existing trails at each site (total: 60 harp trap nights per site). We checked traps late at night and early the next morning (20.30 and 08.30), and moved them each day by at least 20m. For logistical reasons, site F was only sampled using 30 harp trap nights in 2015, and site LFE was sampled three times in 2015 due to low capture rates.<br>Upon capture, we identified each bat to species and, for adult individuals, a wing membrane biopsy was taken using a 3mm punch (Schuco, Walford, UK) for stable isotope analyses and placed in separate tubes for same day processing. Heavily pregnant, highly stressed or recently recaptured bats were not sampled.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/11"><b>Using stable isotopes to link biogeochemical processes to biodiversity of conservation concern</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>NERC (Research grant, NE/K016148/1)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2 (374) )</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM/MBS.1000-2/2 JLD.4 (41))</li><li>Sabah Biodiversity Centre (SABC) (Research licence JKM.1000-2/2 JLD.5 (153))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=5113429">here</a></p><p><b>Files: </b>This consists of 1 file: 1_Kemp_bat_iso_data.xlsx</p><p><b>1_Kemp_bat_iso_data.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>Carbon and nitrogen natural abundance stable isotope data of insects</b> (described in worksheet Insect_isotope)</p><p>Description: A single year dataset of carbon and nitrogen stable isotope values on volant insects across a gradient of logging disturbance in Sabah, Malaysian Borneo. The data was collected between May – July 2017. </p><p>Number of fields: 15</p><p>Number of data rows: 173</p><p>Fields: </p><ul><li><b>Order</b>: Taxonomic order (Field type: id)</li><li><b>Family</b>: Taxonomic family (Field type: id)</li><li><b>Taxa</b>: Highest taxonomic classification (Field type: taxa)</li><li><b>Location</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Site</b>: Sample site (Field type: id)</li><li><b>Plot</b>: Vegetation plot (2 sampled within each site) (Field type: id)</li><li><b>Bottle</b>: Either "top" or "bottom" bottle of the Malaise trap (Field type: categorical)</li><li><b>Feeding_Guild</b>: Feeding Guild (PHY = phytophagous; DET = detritivorous, and PRED = predatory) (Field type: categorical trait)</li><li><b>Weight</b>: Sample weight (Field type: numeric trait)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak (uA), i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight (Field type: numeric trait)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric trait)</li><li><b>X15N</b>: The delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric trait)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric trait)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric trait)</li><li><b>X13C</b>: The delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric trait)</li></ul></li><li><p><b>Georeferenced bat capture data from three field seasons, 2015-2017 in Sabah, Malaysian Borneo</b> (described in worksheet Bat_data)</p><p>Description: This dataset provides capture data from the SAFE experimental area as well as Danum Valley and Maliau Basin. The dataset covers three field campaigns spanning from 2015 – 2017. The dataset includes species annotation, capture date and time; capture location (latitude and longitude); sex, age; forearm and weight measurement, and reproductive condition. There is also an identifier to match captured individuals with isotope values.</p><p>Number of fields: 19</p><p>Number of data rows: 2490</p><p>Fields: </p><ul><li><b>Bat_no</b>: Unique identifier for each individual bat captured (Field type: id)</li><li><b>Day</b>: The day that individual was captured (Field type: id)</li><li><b>Month</b>: The month that individual was captured (Field type: id)</li><li><b>Year</b>: The year that individual was captured (Field type: id)</li><li><b>Date</b>: Date individual was captured (Field type: date)</li><li><b>TrapName</b>: Unique identifier for each trap which was erected (trap position within sites were not consistent between years, largely due to changes in the trails and vegetation structure) (Field type: location)</li><li><b>Lat</b>: Latitude of the trap in which the bat was captured (Field type: latitude)</li><li><b>Long</b>: Longitude of the trap in which the bat was captured (Field type: longitude)</li><li><b>Site</b>: The site at which the capture was made (Field type: id)</li><li><b>Family</b>: Family classification (Field type: categorical trait)</li><li><b>Species</b>: Species classification (Field type: taxa)</li><li><b>Sex</b>: The sex of each capture (M= Male; F = Female) (Field type: categorical trait)</li><li><b>Age</b>: The age of each capture (A = Adult; J = Juvenile ()) (Field type: categorical trait)</li><li><b>Forearm</b>: Forearm measurement (Field type: numeric trait)</li><li><b>Weight</b>: Weight of bat (Field type: numeric trait)</li><li><b>Reproductive_condition</b>: Reproductive condition of the individual (M= Male; NR = Non reproductive, i.e. not yet born young; L = Lactating, i.e. milk visible below the teet; P = Pregnant; PL = Post-lactating, i.e. not currently pregnant or lactating, but evidence of having born young from distended nipples. (Field type: categorical trait)</li><li><b>Time</b>: Whether the individual was captured PM (traps checked for fly-ins between dusk and ~ 19:30) or AM (traps checked for fly-ins between time of evening check and ~ 08:30) (Field type: categorical trait)</li><li><b>Guild</b>: Echolocation guilds with calls classified as HDC = High-duty-cycle or LDC = Low-duty-cycle (Field type: categorical trait)</li><li><b>Biopsy</b>: Unique identifier to associate the captured individual with the isotope data derived from the wing membrane biopsy. If no biopsy was taken there is a reason given: "RECAPTURE" – recapture as denoted by a fresh biopsy hole; "ESCAPED" – escaped the trap before handling; "BLEEDING" – with any sign of bleeding we avoided handling; "STRESSED" – due to ants in the trap, larger bats in the trap etc.; "NOT HEALED" – biopsy wound not healed from the previous visits ~4 weeks prior; "DEAD" – dead from stress; ants, or extreme weather; "PREGNANT" – heavily pregnant, therefore we avoided handling; "WITH YOUNG" – adult female with young attached; "NO BIOPSY PEN" – no sterile biopsy pens available in the field; "LOST" – biopsy lost after having been taken ; "RELEASED" – due to some kind of stress; "NOT TAKEN" - could be any of the above or another reason. (Field type: id)</li></ul></li><li><p><b>Carbon and nitrogen natural abundance stable isotope data of bat wing tissue, sampled across three field seasons, 2015-2017 in Sabah, Malaysian Borneo.</b> (described in worksheet Bat_isotope)</p><p>Description: This dataset provides carbon and nitrogen stable isotope values of bat wing tissue (3mm punch) from individuals sampled across a gradient of logging disturbance in Sabah, Malaysian Borneo. The data was collected over three discrete field seasons, February – May 2015, March - July 2016 and May – July 2017</p><p>Number of fields: 10</p><p>Number of data rows: 3145</p><p>Fields: </p><ul><li><b>N</b>: Number to show the order in which the samples were run (currently the sheet is ordered in distinct runs (32 in total across the 3 years) (Field type: id)</li><li><b>Name</b>: Unique identifier to associate the isotope data with the captured individuals (matched to "Biopsy" column in "BatData.csv"). (Field type: id)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>N_weight</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>X15N</b>: The delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.1</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight (Field type: numeric)</li><li><b>C_weight</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>X13C</b>: The delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li><li><b>Year</b>: Year of sampling (Field type: id)</li></ul></li><li><p><b>Carbon and nitrogen natural abundance stable isotope data of basal resources (living leaves, leaf litter, soil, algae and dead wood), sampled across three field seasons, 2015-2017 in Sabah, Malaysian Borneo.</b> (described in worksheet Basal_resource_data)</p><p>Description: This dataset provides carbon and nitrogen stable isotope values of key basal resources representing the primary and detrital resource bases. The data was collected over three discrete field seasons, February – May 2015, March - July 2016 and May – July 2017.</p><p>Number of fields: 14</p><p>Number of data rows: 647</p><p>Fields: </p><ul><li><b>Source</b>: The type of biological material (Field type: id)</li><li><b>Name</b>: Identifier for each samples, of the format. PlotID_ReplicateNo (Field type: id)</li><li><b>Site</b>: Sample site (Field type: id)</li><li><b>Plot</b>: Vegetation plot (2 sampled within each site) (Field type: id)</li><li><b>Location</b>: Location within the SAFE landscape (Field type: location)</li><li><b>Round</b>: In some years some sites were visited twice (at least 1 month between visits) (Field type: replicate)</li><li><b>Weight</b>: Sample weight (Field type: numeric)</li><li><b>Beam.Area.N</b>: Measure of the nitrogen peak i.e. calculated as the area under the nitrogen curve by Calisto software. This value is directly related to N_weight. (Field type: numeric)</li><li><b>ugN</b>: Measure of the elemental nitrogen content of the sample (Field type: numeric)</li><li><b>X15N</b>: The delta value of the sample, which describes the ration of 15N: 14N isotopes (Field type: numeric)</li><li><b>Beam.Area.C</b>: Measure of the carbon peak i.e. calculated as the area under the carbon curve by Calisto software. This value is directly related to C_weight. (Field type: numeric)</li><li><b>ugC</b>: Measure of the elemental carbon content of the sample (Field type: numeric)</li><li><b>X13C</b>: The delta value of the sample, which describes the ration of 13C: 12C isotopes (Field type: numeric)</li><li><b>Year</b>: Year in which the sample was collected (Field type: id)</li></ul></li></ol><p><b>Date range: </b>2015-02-16 to 2017-07-21</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Chiroptera <br> -  -  -  -  -  Hipposideridae <br> -  -  -  -  -  -  <i>Hipposideros</i> <br> -  -  -  -  -  -  -  <i>Hipposideros ater</i> <br> -  -  -  -  -  -  -  <i>Hipposideros bicolor</i> <br> -  -  -  -  -  -  -  <i>Hipposideros cervinus</i> <br> -  -  -  -  -  -  -  <i>Hipposideros diadema</i> <br> -  -  -  -  -  -  -  <i>Hipposideros dyacorum</i> <br> -  -  -  -  -  -  -  <i>Hipposideros ridleyi</i> <br> -  -  -  -  -  Nycteridae <br> -  -  -  -  -  -  <i>Nycteris</i> <br> -  -  -  -  -  -  -  <i>Nycteris tragata</i> <br> -  -  -  -  -  Emballonuridae <br> -  -  -  -  -  -  <i>Emballonura</i> <br> -  -  -  -  -  -  -  <i>Emballonura alecto</i> <br> -  -  -  -  -  -  -  <i>Emballonura monticola</i> <br> -  -  -  -  -  Vespertilionidae <br> -  -  -  -  -  -  <i>Kerivoula</i> <br> -  -  -  -  -  -  -  <i>Kerivoula hardwickii</i> <br> -  -  -  -  -  -  -  <i>Kerivoula intermedia</i> <br> -  -  -  -  -  -  -  <i>Kerivoula lenis</i> <br> -  -  -  -  -  -  -  <i>Kerivoula minuta</i> <br> -  -  -  -  -  -  -  <i>Kerivoula papillosa</i> <br> -  -  -  -  -  -  -  <i>Kerivoula pellucida</i> <br> -  -  -  -  -  -  -  <i>Kerivoula whiteheadi</i> <br> -  -  -  -  -  -  <i>Murina</i> <br> -  -  -  -  -  -  -  <i>Murina aenea</i> <br> -  -  -  -  -  -  -  <i>Murina cyclotis</i> <br> -  -  -  -  -  -  -  <i>Murina peninsularis</i> <br> -  -  -  -  -  -  -  <i>Murina rozendaali</i> <br> -  -  -  -  -  -  -  <i>Murina suilla</i> <br> -  -  -  -  -  -  <i>Myotis</i> <br> -  -  -  -  -  -  -  <i>Myotis muricola</i> <br> -  -  -  -  -  -  -  <i>Myotis ridleyi</i> <br> -  -  -  -  -  -  <i>Pipistrellus</i> <br> -  -  -  -  -  -  -  <i>Pipistrellus javanicus</i> <br> -  -  -  -  -  -  -  <i>Pipistrellus tenuis</i> <br> -  -  -  -  -  -  <i>Pipistrellus</i> <br> -  -  -  -  -  -  -  <i>Pipistrellus javanicus</i> <br> -  -  -  -  -  -  -  <i>Pipistrellus tenuis</i> <br> -  -  -  -  -  -  <i>Philetor</i> <br> -  -  -  -  -  -  -  <i>Philetor brachypterus</i> <br> -  -  -  -  -  -  <i>Scotophilus</i> <br> -  -  -  -  -  -  -  <i>Scotophilus kuhlii</i> <br> -  -  -  -  -  -  <i>Harpiocephalus</i> <br> -  -  -  -  -  -  -  <i>Harpiocephalus harpia</i> <br> -  -  -  -  -  -  <i>Phoniscus</i> <br> -  -  -  -  -  -  -  <i>Phoniscus atrox</i> <br> -  -  -  -  -  -  <i>Hesperoptenus</i> <br> -  -  -  -  -  -  -  <i>Hesperoptenus blanfordi</i> <br> -  -  -  -  -  Pteropodidae <br> -  -  -  -  -  -  <i>Balionycteris</i> <br> -  -  -  -  -  -  -  <i>Balionycteris maculata</i> <br> -  -  -  -  -  Megadermatidae <br> -  -  -  -  -  -  <i>Megaderma</i> <br> -  -  -  -  -  -  -  <i>Megaderma spasma</i> <br> -  -  -  -  -  Rhinolophidae <br> -  -  -  -  -  -  <i>Rhinolophus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus acuminatus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus affinis</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus borneensis</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus creaghi</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus sedulus</i> <br> -  -  -  -  -  -  -  <i>Rhinolophus trifoliatus</i> <br> -  -  Arthropoda <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Blattodea <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Psocodea <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Trichoptera <br> -  -  -  -  Diptera <br> -  -  -  -  -  Mycetophilidae <br> -  -  -  -  -  Empididae <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Blattodea <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Psocodea <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Trichoptera <br> -  -  -  -  Diptera <br> -  -  -  -  -  Mycetophilidae <br> -  -  -  -  -  Empididae <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  Insecta <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Blattodea <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Lepidoptera <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  -  Psocodea <br> -  -  -  -  Coleoptera <br> -  -  -  -  -  Endomychidae <br> -  -  -  -  -  Bostrichidae <br> -  -  -  -  -  Chrysomelidae <br> -  -  -  -  -  Erotylidae <br> -  -  -  -  -  Carabidae <br> -  -  -  -  -  Lycidae <br> -  -  -  -  -  Coccinellidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Nitidulidae <br> -  -  -  -  -  Lucanidae <br> -  -  -  -  -  Ptilodactylidae <br> -  -  -  -  -  Anthribidae <br> -  -  -  -  -  Staphylinidae <br> -  -  -  -  -  Scarabaeidae <br> -  -  -  -  -  -  Melolonthinae <br> -  -  -  -  -  -  Ruteliinae <br> -  -  -  -  -  Cantharidae <br> -  -  -  -  -  Mordellidae <br> -  -  -  -  -  Rhipiceridae <br> -  -  -  -  -  Cleridae <br> -  -  -  -  -  Ptinidae <br> -  -  -  -  -  Cerambycidae <br> -  -  -  -  -  Throscidae <br> -  -  -  -  -  Curculionidae <br> -  -  -  -  -  Histeridae <br> -  -  -  -  -  Cerylonidae <br> -  -  -  -  -  -  <i>Gyrelon</i> <br> -  -  -  -  -  Melolonthidae <br> -  -  -  -  -  -  <i>Apogonia</i> <br> -  -  -  -  Hemiptera <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Cicadellidae <br> -  -  -  -  -  Cydnidae <br> -  -  -  -  -  Coreidae <br> -  -  -  -  -  Fulgoroidea <br> -  -  -  -  -  Reduviidae <br> -  -  -  -  -  Miridae <br> -  -  -  -  Trichoptera <br> -  -  -  -  Diptera <br> -  -  -  -  -  Mycetophilidae <br> -  -  -  -  -  Empididae <br> -  -  -  -  Hymenoptera <br> -  -  -  -  -  Ichneumoidea <br> -  -  -  -  -  Vespidae <br> -  -  -  -  -  Formicidae <br> -  -  -  -  -  Bethylidae <br> -  -  -  -  -  Apoidea <br> -  -  -  -  -  Braconidae <br> -  -  -  -  -  Pompilidae <br> -  -  -  -  -  Scoliidae <br> -  -  -  -  -  Chalcidoidea <br> -  -  -  Arachnida <br> -  -  -  -  Araneae <br></div><p></p>
The role of shade in maintaining alternative stable states between open- and closed-canopy vegetation
<p>Fire is commonly identified as strong driver of alternative stable states such as adjacent open- versus closed-canopy vegetation types. The absence of open-canopy species from closed-canopy understoreys, where light availability is low and dynamic, however, suggests shade tolerance is an integral determinant of such vegetation boundaries. While the importance of light dynamics between alternative stable states has been acknowledged, the physiological mechanisms behind sun versus shade-tolerance are unclear. Here we investigated the differences in light interception and carbon assimilation of open- and closed-canopy species, and whether this contributes to the maintenance of alternative stable states.</p> <p>Evergreen forest and fynbos species were grown under three light availability treatments (24%, 54%, 100%) in a glasshouse with their photosynthetic response to continuous and fluctuating light, dark respiration, root respiration, biomass and leaf traits quantified.<br> <br> Fynbos species displayed smaller, thicker, and tightly aggregated leaves compared to forest species. Under low light, fynbos species experienced some mortality, and showed lower light-use efficiency with fluctuating light and lower in situ photosynthetic rates under the 54% light treatment compared to forest species (0.8 versus 4 mmol CO2 m-2 s-1).<br> <br> Synthesis. Contrasting light availability in forest and fynbos selects for dissimilar traits, where fynbos species are unable to efficiently intercept light and maintain a positive carbon balance under low, dynamic light compared to forest species. This shade intolerance is exacerbated by divergent nutrient and fire regimes in forest and fynbos environments, requiring incompatible trait specializations that promote the emergence and maintenance of alternative stable states.</p>
IsoAnalyst: A System-Wide Stable Isotopic Labeling Aproach for Connecting Natural Products to Their Cognate Biosynthetic Gene Clusters
<p>Processed mass spectrometry data input used to develop and validate the IsoAnalyst program and the output from these analyses. The S_erythraea folder contains all MS input and output data for <em>Saccharopolyspora erythraea</em>. The Micromonospora_RL09050HVFA folder contains MS input and output data for <em>Micromonopora sp.</em> RL09050HVFA, as well as the full antiSMASH output for the <em>Micromonopora sp.</em> RL09050HVFA genome.</p> <p>Version 2 contains updated IsoAnalyst results for both organisms. </p>
Stable Isotope datasets "Late Miocene onset of Tasman Leakage and Southern Hemisphere Supergyre"
<p>Updated age models for isotopic series from ODP Sites 570, 751, 752, 754, 757 and 1172. </p> <p> </p>
Torus-stable zone above starspots
<p>This entry contains interactive figures and public data sets for Sun, Török, & DeRosa (2021), "Torus-stable zone above starspots". See README for details.</p>
Raw data for: Stable Isotope Trajectory Analysis (SITA): A new approach to quantify and visualize dynamics in stable isotope studies. Sturbois et al., in revision in Ecological Monographs
<p>These data sets are used as ecological applications in Sturbois et al., in revision, Stable Isotope Trajectory Analysis (SITA): A new approach to quantify and visualize dynamics in stable isotope studies. submitted in Ecological Monographs.</p> <p>- DataS1_furseals.Rdata originates from: Kernaléguen, L., Cazelles, B., Arnould, J.P.Y., Richard, P., Guinet, C., Cherel, Y., 2012. Long-Term Species, Sexual and Individual Variations in Foraging Strategies of Fur Seals Revealed by Stable Isotopes in Whiskers. PLoS ONE 7, e32916. https://doi.org/10.1371/journal.pone.0032916</p> <p>- DataS2_Pike.Rdata originates from: Cucherousset, J., Paillisson, J.-M., Roussel, J.-M., 2013. Natal departure timing from spatially varying environments is dependent of individual ontogenetic status. Naturwissenschaften 100, 761–768. https://doi.org/10.1007/s00114-013-1073-y</p> <p>- DataS4_GT1.Rdata and DataS5_GT2.Rdata originate from: Quillien, N., Nordström, M.C., Schaal, G., Bonsdorff, E., Grall, J., 2016. Opportunistic basal resource simplifies food web structure and functioning of a highly dynamic marine environment. Journal of Experimental Marine Biology and Ecology 477, 92–102.</p> <p>- DataS6_Lakes.Rdata originates from: Zhao, T., Villéger, S., Cucherousset, J., 2019. Accounting for intraspecific diversity when examining relationships between non-native species and functional diversity. Oecologia 189, 171–183. https://doi.org/10.1007/s00442-018-4311-3</p> <p>Information about respective sampling strategies and sample preparation are available in these original articles. All use of this data sets must cite original article as well as the SITA article.</p>
Stable nickel production in Type Ia supernovae: A smoking gun for the progenitor mass?
<p>Model spectra from Blondin et al. (2022). This second version includes spectra of the uniformly-mixed versions of model DDC15, which were accidentally omitted from the first version.</p>
Action Prediction Error: a value-free dopaminergic teaching signal that drives stable learning - Behavioral dataset
<p>Behavioral data to reproduce figures of this paper: https://doi.org/10.1101/2022.09.12.507572</p> <p>See Github repository: https://github.com/HernandoMV/APE_paper</p>
Occurrence patterns of crop-foraging sika deer distribution in an agriculture-forest landscape revealed by nitrogen stable isotopes
<p>Conflicts arising from the consumption of anthropogenic foods by wildlife are increasing worldwide. Conventional tools for evaluating the spatial distribution pattern of large terrestrial mammals that consume anthropogenic foods have various limitations, despite their importance in management to mitigate conflicts. In this study, we examined the spatial distribution pattern of crop-foraging sika deer by performing nitrogen stable isotope analyses of bone collagen. We evaluated whether crop-foraging deer lived closer to agricultural crop fields during the winter and spring, when crop production decreases. We found that female deer in proximity to agricultural crop fields during the winter and spring were more likely to be crop-foraging individuals. Furthermore, the likelihood of crop consumption by females decreased by half as the distance to agricultural crop fields increased to 5-10 km. We did not detect a significant trend in the spatial distribution of crop-foraging male deer. The findings of spatial distribution patterns of crop-foraging female deer will be useful for the establishment of management areas, such as zonation, for efficient removal of them.</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.