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Figure 4 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 4. Ventral view of Megophrys oropedion
Figure 2 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 2. Femoral glands of Megophrys major
Figure 1 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 1. Dorsal view of Megophrys major
Figure 3 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 3. Dorsal view of Megophrys oropedion
Structural models of viral proteins described in Krupovic M, et al., Proc Natl Acad Sci U S A. 2024
<p>This archive contains structural models in PDB format described in Krupovic M, Kuhn JH, Fischer MG, Koonin EV. Natural history of eukaryotic DNA viruses with double jelly-roll major capsid proteins. Proc Natl Acad Sci U S A. 2024</p>
Zebrafish embryos time-course, M&Z 5'UTRs scarb2c
<p>This Zenodo file contains data for the maternal and zygotic 5′ UTR-scarb2c-sfGFP mRNA reporters. Data consists of raw microscopy images of embryos, as well as csv files with quantification of relative sfGFP expression data (normalized to a dextran dye control) and png files depicting ROIs used for quantification presented in Figure 7 of Reimão-Pinto et al., Dev Cell, 2024.</p> <p>Embryos were injected with 1 nL of an injection mix directly into the cell at the 1-cell stage with a microinjection needle (Sutter Instruments) and allowed to develop in standard conditions. For single-reporter injections, 40pg 5′ UTR-sfGFP test reporter were co-injected with 2 ng fluorescent red dextran dye (D1868, Invitrogen) as injection control per embryo. Embryos were collected at the desired developmental stage and placed on a custom-made agarose mold with squared indents for placing and aligning the embryos. For fluorescence intensity quantification, zebrafish embryo images were acquired using an upright ZEISS Axiozoom coupled to an Axiocam 503 color/mono digital camera (14-bit depth) in black & white color mode with fixed laser power (red laser power 85% and 300 ms exposure; green laser power 65% and 300 ms exposure), fixed zoom and fixed exposure time for red mRF12 (590/612) and green AF488 (493/517) channels. Two rounds of single-reporter injections (embryos from two different clutches) were performed for fluorescence intensity quantifications.</p> <p>Images were quantified using Fiji (Image J) using a macro for automated thresholding and channel fluorescence intensity measurement. For each image, the script automatically segments the image based on red channel intensity (control dextran dye) using FIJI’s auto thresholding tool (RenyiEntropy) and outputs csv files with mean fluorescence intensities of red and green channels for that region of interest (and a small invariant region for background correction). The mean fluorescence values outputted were then used for calculating normalized mean intensity ratios (sfGFP/dextran). A total of 25 embryos per injection round were quantified, for a total of 50 embryos per time-point, per reporter. This excel contains normalized fluorescence intensity values calculated. More embryos were quantified than the ones included in the analysis (due to unequal number of embryos imaged per experiment, we decided to consider a fixed number of 25 per reporter injection). Some embryos were not considered for normalized intensity calculations due to improper automatic segmentation (e.g. due to the presence of a background dirt spot that is recognized as "signal"), due to precipitation of the dextran dye in the embryo's chorion or due to improper embryo development resulting from injury from injection. All images acquired are available for inspection. The FIJI macro for automated segmentation and ROI intensity measurements are also provided in the Mendeley Repository associated to the study.</p>
Zebrafish embryos time-course, M&Z 5'UTRs cfl1l
<p>This Zenodo file contains data for the maternal and zygotic 5′ UTR-cfl1l-sfGFP mRNA reporters. Data consists of raw microscopy images of embryos, as well as csv files with quantification of relative sfGFP expression data (normalized to a dextran dye control) and png files depicting ROIs used for quantification presented in Figure 7 of Reimão-Pinto et al., Dev Cell, 2024.</p> <p>Embryos were injected with 1 nL of an injection mix directly into the cell at the 1-cell stage with a microinjection needle (Sutter Instruments) and allowed to develop in standard conditions. For single-reporter injections, 40pg 5′ UTR-sfGFP test reporter were co-injected with 2 ng fluorescent red dextran dye (D1868, Invitrogen) as injection control per embryo. Embryos were collected at the desired developmental stage and placed on a custom-made agarose mold with squared indents for placing and aligning the embryos. For fluorescence intensity quantification, zebrafish embryo images were acquired using an upright ZEISS Axiozoom coupled to an Axiocam 503 color/mono digital camera (14-bit depth) in black & white color mode with fixed laser power (red laser power 85% and 300 ms exposure; green laser power 65% and 300 ms exposure), fixed zoom and fixed exposure time for red mRF12 (590/612) and green AF488 (493/517) channels. Two rounds of single-reporter injections (embryos from two different clutches) were performed for fluorescence intensity quantifications.</p> <p>Images were quantified using Fiji (Image J) using a macro for automated thresholding and channel fluorescence intensity measurement. For each image, the script automatically segments the image based on red channel intensity (control dextran dye) using FIJI’s auto thresholding tool (RenyiEntropy) and outputs csv files with mean fluorescence intensities of red and green channels for that region of interest (and a small invariant region for background correction). The mean fluorescence values outputted were then used for calculating normalized mean intensity ratios (sfGFP/dextran). A total of 25 embryos per injection round were quantified, for a total of 50 embryos per time-point, per reporter. This excel contains normalized fluorescence intensity values calculated. More embryos were quantified than the ones included in the analysis (due to unequal number of embryos imaged per experiment, we decided to consider a fixed number of 25 per reporter injection). Some embryos were not considered for normalized intensity calculations due to improper automatic segmentation (e.g. due to the presence of a background dirt spot that is recognized as "signal"), due to precipitation of the dextran dye in the embryo's chorion or due to improper embryo development resulting from injury from injection. All images acquired are available for inspection. The FIJI macro for automated segmentation and ROI intensity measurements are also provided in the Mendeley Repository associated to the study.</p>
Dataset for P. Ripka, M. Mirzaei, J. Maier: Flat Magnetic X-Y Alignment sensor, IEEE Sensors Letters Vol. 8, Iss. 7, 2024, pp. 1-4 10.1109/LSENS.2024.3414375
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IODP EXP 341 - Site U1417- XRF 0-20m CCSF-A
<p>This dataset contains u-channel XRF data measured at Marine and Geology Repository, Oregon State University for IODP EXP 341 - Site U1417 from 0-20 m CCSF-A.</p>
Recorded temperature data of a reinforced concrete, 1.2-m long, beam-slab model and associated meteorological data.
<div><strong>The data contain internal and surface temperature measurements of a 1.2 m-long, reinforced concrete girder-slab element exposed to the environmental conditions of the city of Bucaramanga, Colombia (Coordinates: 7°08'35", 73°07'18"). In addition, meteorological variables of the environment near the element were recorded. The data was measured from July 7, 2023, to November 6, 2023.</strong></div> <div><strong>The data were obtained by:</strong></div> <ul> <li> <div><strong>Internal Temperature (file name: InternalTemperature): 40 thermocouples were embedded in the element (Fig. 1) to collect data every 30 minutes from 6:30 AM on July 10, 2023 to 11:30 PM on November 6, 2023. Temperatures are in degrees Celsius (°C).</strong></div> </li> <li> <div><strong>Surface Temperature (file name: SurfaceTemperatureCameraEast and SurfaceTemperatureCameraWest): A FLIR E6 XT thermal camera was used to record Surface temperature of 10 points on the EAST (Fig. 2) and WEST (Fig. 3) faces of the element from 6:30 AM on June 29, 2023 to 4 PM on October 31, 2023. Twenty daily measurements were recorded every 30 minutes. Temperatures are in degrees Celsius (°C).</strong></div> </li> <li> <div><strong>Surface Temperature (file name: SurfaceTemperatureDroneEast): A DJI MAVIC 2 ENTERPRISE ADVANCED (EU) drone equipped with a thermal imaging camera measured the surface temperature of 10 points on the EAST side of the element (Fig. 4) every 30 minutes, from 6:30 AM on September 9 to 4 PM on October 31. Temperatures are in degrees Celsius (°C).</strong></div> </li> <li><strong>Meteorological variables (file name: WeatherStationData): A DAVIS VANTAGE PRO-2 WLRS weather station recorded data every 30 minutes from 12 AM on July 10, 2023, to 12:30 PM on November 6, 2023. The data included the average, maximum, and minimum ambient temperature (°C); relative humidity (%); speed (m/s) and wind direction (cardinal direction); atmospheric pressure (mb); precipitation (mm) and average and maximum solar radiation (W/m<sup>2</sup>).</strong></li> </ul>
Canopy Height Models of Giant Mountains National Park (2012 and 2022) at 10 m resolution
<p>This repository was created to provide datasets related with an article: "Harmonised airborne laser scanning products can address the limitations of large-scale spaceborne vegetation mapping". The original airborne laser scanning point clouds used for the generation of the canopy height models were kindly provided by Giant Mountains National Park.</p>
Active structural geometries and their correlation with moderate (M 5.5-7.0) earthquakes in the Jiashi-Keping region, Tian Shan southwestern front
<p>This data set contains Figures S1-S5, which serve as supporting information for the paper titled "Active structural geometries and their correlation with moderate (M 5.5-7.0) earthquakes in the Jiashi-Keping region, Tian Shan southwestern front". Figure S1 shows locations of all seismic-reflection profiles used in this study. Figures S2-S5 provide uninterpreted and interpreted seismic-reflection profiles across the Bachu transpressional fault system, the western Keping Thrust and the blind Bashituopu Thrust.</p>
The Three-Dimensional Collapse Of A Rapidly Rotating 16 $M_{\odot}$ Star
<p>Data products from ApJL article The Three-Dimensional Collapse Of A Rapidly Rotating 16 $M_{\odot}$ Star, 2022. 3D rapidly rotating core-collapse supernova progenitor model at two different times. MESA inlist and model at time of mapping also included. All 3D data are in FLASH4 format using the HDF5 data structure. </p>
Fig. 2. Adults M in On The Biology Of The East Asian Seed Beetle, Megabruchidius Dorsalis (Coleoptera, Chrysomelidae, Bruchinae), An Adventive Species For Ukraine
Fig. 2. Adults M. dorsalis on hawthorn flowers. May 7 (Photo by M. A. Filatov).
Fig. 2 in Interspecific Interactions as a Factor of Limitation of Geographical Distribution: Evidence Obtained by Modeling Home Ranges of Vole Twin Species Microtus Arvalis – M. Levis (Rodentia, Microtidae)
Fig. 2. Potential distribution of the East European vole (Microtus levis). Captions as in fig.1.
A global land surface 250-m 8-day Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product (2022-part1)
<p>The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a critical land surface variable for carbon cycle modeling and ecological monitoring. We generated the latest version (V6) of the FAPAR product at a 250-m resolution, which is also aggregated to multiple coarser resolutions (up to 0.25° and monthly), from MODIS surface reflectance data and other information, as part of the Global Land Surface Satellite (GLASS) products suite. Three existing global FAPAR products (MODIS Collection 6, GLASS V5, and PROBA-V V1) were used to generate the time-series training samples for developing the Bidirectional Long Short-Term Memory (Bi-LSTM) model. Direct validation using high-resolution FAPAR maps from VALERI and ImagineS networks revealed that the GLASS V6 FAPAR product achieves higher accuracy than PROBA-V, MODIS, and GLASS V5, with R<sup>2</sup> of 0.80 and RMSE of 0.10-0.11 at the 250-m, 500-m, and 3-km scales, and a higher percentage (72%) of retrievals in meeting accuracy requirement of 0.1. Global spatial evaluation and temporal comparison at the Ameriflux and NEON sites indicated that the GLASS V6 FAPAR is more spatio-temporal continuous and better reflects the variations of vegetation than the GLASS V5 FAPAR. </p> <p>The temporal span of GLASS V6 FAPAR product is from 2000 to 2020 and the temporal frequency is 8-day. The 250-m and 500-m data are in the Sinusoidal projection, while the 0.05°, 0.1° and 0.25° data are in geographic latitude/longitude. Data files are provided in HDF−EOS format.</p>
A global land surface 250-m 8-day Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product (2022-part2)
<p>The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a critical land surface variable for carbon cycle modeling and ecological monitoring. We generated the latest version (V6) of the FAPAR product at a 250-m resolution, which is also aggregated to multiple coarser resolutions (up to 0.25° and monthly), from MODIS surface reflectance data and other information, as part of the Global Land Surface Satellite (GLASS) products suite. Three existing global FAPAR products (MODIS Collection 6, GLASS V5, and PROBA-V V1) were used to generate the time-series training samples for developing the Bidirectional Long Short-Term Memory (Bi-LSTM) model. Direct validation using high-resolution FAPAR maps from VALERI and ImagineS networks revealed that the GLASS V6 FAPAR product achieves higher accuracy than PROBA-V, MODIS, and GLASS V5, with R<sup>2</sup> of 0.80 and RMSE of 0.10-0.11 at the 250-m, 500-m, and 3-km scales, and a higher percentage (72%) of retrievals in meeting accuracy requirement of 0.1. Global spatial evaluation and temporal comparison at the Ameriflux and NEON sites indicated that the GLASS V6 FAPAR is more spatio-temporal continuous and better reflects the variations of vegetation than the GLASS V5 FAPAR. </p> <p>The temporal span of GLASS V6 FAPAR product is from 2000 to 2020 and the temporal frequency is 8-day. The 250-m and 500-m data are in the Sinusoidal projection, while the 0.05°, 0.1° and 0.25° data are in geographic latitude/longitude. Data files are provided in HDF−EOS format.</p>
The gridded 2-m air temperature data produced by Yao et al. (2021),the depth of major lakes in Wuhan, and and the land use/land cover data in 2000, 2010, and 2020
<p>The gridded 2-m air temperature data produced by Yao et al. (2021), the depth of major lakes in Wuhan, and the land use/land cover data in 2000, 2010, and 2020 used in the manuscript </p>
Dataset for I. Latella, P. Ben-Abdallah and M. Nikbakht, Radiative thermal rectification in many-body systems, Phys. Rev. B 104, 045410 (2021)
<p>This dataset contains data associated to plots published in the paper I. Latella, P. Ben-Abdallah and M. Nikbakht, Radiative thermal rectification in many-body systems, Phys. Rev. B 104, 045410 (2021). https://doi.org/10.1103/PhysRevB.104.045410</p>
Dataset for I. Latella, A. Campa, L. Casetti, P. Di Cintio, J. M. Rubi, and S. Ruffo, Monte Carlo simulations in the unconstrained ensemble, Phys. Rev. E 103, L061303 (2021)
<p>This dataset contains data associated to plots published in the paper I. Latella, A. Campa, L. Casetti, P. Di Cintio, J. M. Rubi, and S. Ruffo, Monte Carlo simulations in the unconstrained ensemble, Phys. Rev. E 103, L061303 (2021), https://doi.org/10.1103/PhysRevE.103.L061303</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.