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Holocene and glacial individual foraminiferal analyses (IFA) of stable isotopes in Globigerinoides ruber tests from Line Islands sediment cores (central equatorial Pacific)
<p>This dataset contains individual foraminiferal analyses (IFA) stable isotopic (δ¹⁸O and δ¹³C) measurements of planktic foraminifera <em>Globigerinoides ruber</em> tests from modern and Last Glacial Maximum (LGM; ~20 ka) sediments from offshore the Line Islands, located in the central equatorial Pacific Ocean.</p>
Supporting data and code for: Individual plasticity in response to rising sea temperatures contributes to an advancement in green turtle nesting phenology.
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Fig. 3 - Aree importanti individuate dagli esperti del gruppo tematico Cenosi acquatiche e in Le aree prioritarie per la biodiversità della provincia di Novara Una proposta multidisciplinare
Fig. 3 - Aree importanti individuate dagli esperti del gruppo tematico Cenosi acquatiche e pesci.
Fig. 1 - Aree importanti individuate dagli esperti del gruppo tematico Flora e in Le aree prioritarie per la biodiversità della provincia di Novara Una proposta multidisciplinare
Fig. 1 - Aree importanti individuate dagli esperti del gruppo tematico Flora e vegetazione.
Fig. 1. Individuals per 1 in On the occurrence and density of some tardigrade taxa in the city area of Plovdiv, Bulgaria
Fig. 1. Individuals per 1cm3 moss or lichens samples from different substrates.
Fig. 1 in Verification of Natural Marking for Individual Identification Using a Duplex Marking Approach in Ijima's Sea Snakes, (Reptilia: Elapidae).
Fig. 1. Maps showing the location of Zamami Island and the study sites: (a) Urunusachi and (b) Ama.
2020 IMPACTS HVPS Individual Particle Measurements, Habits, and Size Distributions
<p>Morphological measurements for particles detected by the vertical channel of the High Volume Precipitation Spectrometer (HVPS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in V_1.nc are individual particle files, while files ending in V.HVPS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (citation pending publication), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).</p> <p> </p> <p><strong>Some additional notes on habits</strong></p> <p>The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:</p> <div>0: sphere</div> <div>1: column/needle</div> <div>2: rejected</div> <div>3: tiny</div> <div>4: plate</div> <div>5: irregular</div> <div>6: graupel</div> <div>7: dendrite</div> <div>8: aggregate</div> <div>9: center-out</div> <div> </div> <div> </div> <div>The individual particle files have numeric codes for various habits. These codes refer to the following habits:</div> <div> </div> <div>77: missing</div> <div>67: center-out</div> <div>116: tiny</div> <div>111: rejected</div> <div>108: column/needle</div> <div>97: aggregate</div> <div>103: graupel</div> <div>115: sphere</div> <div>104: plate<br>105: irregular<br>100: dendrite</div> <div> </div>
2020 IMPACTS 2DS Individual Particle Measurements, Habits, and Size Distributions
<p>Morphological measurements for particles detected by the horizontal channel of the 2-Dimensional Stereo Probe (2DS) during seven flights of the 2020 IMPACTS field campaign, in netCDF format. Some flights have multiple files. Files ending in H_1.nc are individual particle files, while files ending in H.2DS.nc are size distribution files. The numbers in all filenames represent the file start times, in format YYMMDDHHMMSS (in UTC). The individual particle data files include habit classifications as were used in Schima et al. 2024 (citation pending publication), and similarly, habit size distributions are available within the size distribution files. These files were created using University of Illinois/Oklahoma Optical Array Probe Processing Software (UIOPS, https://doi.org/10.5281/zenodo.1285968).</p> <p> </p> <p><strong>Some additional notes on habits</strong></p> <p>The size distribution files have a "habit" dimension of length 10. Along this dimension, indices in the files correspond to the following habits:</p> <div>0: sphere</div> <div>1: column/needle</div> <div>2: rejected</div> <div>3: tiny</div> <div>4: plate</div> <div>5: irregular</div> <div>6: graupel</div> <div>7: dendrite</div> <div>8: aggregate</div> <div>9: center-out</div> <div> </div> <div> </div> <div>The individual particle files have numeric codes for various habits. These codes refer to the following habits:</div> <div> </div> <div>77: missing</div> <div>67: center-out</div> <div>116: tiny</div> <div>111: rejected</div> <div>108: column/needle</div> <div>97: aggregate</div> <div>103: graupel</div> <div>115: sphere</div> <div>104: plate<br>105: irregular<br>100: dendrite</div>
Assemblies of two Greenland wolf individuals and one Flying lemur performed by LJA,
<p>These assemblies were generated as a part of analysis performed in paper Zhu et al (2024) titled "Assessing Assembly Errors in Immunoglobulin Loci: A Comprehensive Evaluation of Long-read Genome Assemblies Across Vertebrates"</p>
Fig. 8 in Captive individuals of endangered Philippine raptors maintain native feather mites (Acariformes: Pterolichoidea) species
Fig. 8. Pseudogabucinia nisaeti sp. n. female. A – dorsal view, B – ventral view.
Fig. 5 in Captive individuals of endangered Philippine raptors maintain native feather mites (Acariformes: Pterolichoidea) species
Fig. 5. Pseudalloptinus pithecophagae sp. n. female. A – dorsal view, B – ventral view.
Fig. 2 in Captive individuals of endangered Philippine raptors maintain native feather mites (Acariformes: Pterolichoidea) species
Fig. 2. Hieracolichus philippinensis sp. n. female. A – dorsal view, B – ventral view.
Fig. 1 in Captive individuals of endangered Philippine raptors maintain native feather mites (Acariformes: Pterolichoidea) species
Fig. 1. Hieracolichus philippinensis sp. n. male. A – dorsal view, B – ventral view.
Fig. 4 in Captive individuals of endangered Philippine raptors maintain native feather mites (Acariformes: Pterolichoidea) species
Fig. 4. Pseudalloptinus pithecophagae sp. n. male. A – dorsal view, B – ventral view.
Fig. 7 in Captive individuals of endangered Philippine raptors maintain native feather mites (Acariformes: Pterolichoidea) species
Fig. 7. Pseudogabucinia nisaeti sp. n. male. A – dorsal view, B – ventral view.
Individual colors of the NEOROCKS objects observed between 2022 and 2023.
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Supporting material for "Pharmacological validation of individual animal locomotion, temperature and behavioural analysis in group-housed rats using a novel automated home cage analysis system: a comparison with the modified Irwin test"
<p>The data were uploaded to support the manuscript "Pharmacological validation of individual animal locomotion, temperature and behavioural analysis in group-housed rats using a novel automated home cage analysis system: a comparison with the modified Irwin test" for the submission to Journal of Pharmacological and Toxicological Methods.</p>
Links between Gestures and Multisensory Processing: Individual Differences Suggest a Compensation Mechanism
<p>Dataset associated with the following publication:</p> <p>Schmalenbach, S.B., Billino, J., Kircher, T., van Kemenade, B.M.*, Straube, B*. (2017). Links between Gestures and Multisensory Processing: Individual Differences Suggest a Compensation Mechanism. <em>Frontiers in Psychology</em> 8:1828.</p>
Data from: Individual Movement - Sequence Analysis Method (IM-SAM): characterising spatio-temporal patterns of animal trajectories across scales and landscapes
<p>Dataset included in Zenodo supports the analyses performed in "<em>Individual Movement - Sequence Analysis Methods (IM-SAM) characterising spatio-temporal patterns of animal trajectories across scales and landscapes.</em>"</p> <p>The dataset includes one RDS file, that can be easily loaded into R using the readRDS function. The RDS file consists out of a list including two objects per animal:</p> <ul> <li>Object 1 contains a data frame with the real and simulated sequences for an animal. e.g., ls[[1]][[1]] </li> <li>Object 2 contains the home range in raster format of an animal. e.g., ls[[1]][[2]]</li> </ul> <p>The data frames in object 1 contain real habitat use sequences and corresponding simulated habitat use sequences generated in the home range of the specific individual (900 simulated sequences: 6 habitat selection rules x 3 selection coefficients x 50 repetitions). Open and closed habitats are respectively encoded by 0 and 1. The first 96 columns of each row in a data frame represent a 16-day habitat use sequence, with a fixed 4-hour relocation interval (0, 4, 8, 12, 16 and 20h). Column names are named as follows: Day_1_0h, Day_1_4h,..., Day_16_20h. In the next columns we provide the selection coefficients (columns 97-99), the habitat selection rules (or pattern, columns 100-102) and the number of missing values (mvs, columns, 103-104) for each of the real and simulated sequences. Note that simulated sequences have no missing values (i.e. values are always 0.00) and for real sequences there is no selection coefficient or habitat selection rule (i.e. values are always xxx).</p> <p>Rownames of simulated sequences are composed out of the habitat selection rule (c, o, a24, a33, a42 and u), the selection coefficient (5, 10, 50) and the replicate (1 to 50), separated by dashes. For example, the first simulated sequence in the first data frame (ls[[1]][[1]][1,]) is described as a24_10_1. The rownames of real sequences instead are composed out of the individuals' identifier, the biweekly period (1 to 23) and the year. For example, the first real sequence in the first data frame (ls[[1]][[1]][901,]) is described as 1_5_2006.</p> <p><br> </p>
Individual volumes and masses of 50 mussels (Mytilus edulis), collected at Agon (France) the 4th april 2018
<p>Individual volumes (ml) and masses (g) of 50 mussels (<em>Mytilus edulis</em>), collected at Agon (France) the 4th april 2018 . the volume was measured by overflow by reading the volumes difference obtained when an individual is immersed in a known volume of water (20ml). The mass is measured with an electronic scale. This dataset was used to convert mussel volume (Hectolitre) in mass (Kilogram) in an historical time series during my Matser 1 thesis in 2018 : Study of commercial fishs in Seine Bay by use the historical administrative reports for 1866 at 1980 - UFR Sciences et Techniques du Havre (France). The associated model (a linear regression : weight = a*Volume + b) is presented in the R script "ana_mussel.R".</p>
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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.
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.