Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
132
datasets available to search
ShareScore release 0.9.0
Dataset results
132 results for “global radiation”
Data from: Tectonic collision and uplift of Wallacea triggered the global songbird radiation
Songbirds (oscine passerines) are the most species rich and cosmopolitan bird group, comprising almost half of global avian species diversity. Because of their diversity and ubiquity, songbirds are used extensively in studies of evolutionary ecology, diversification, and ethology. Songbirds originated in Australia, but the evolutionary trajectory from a single species in an isolated continent to worldwide proliferation is poorly understood. Prior research suggested songbird diversification scenarios that are largely uncoupled from Earth history, including extensive diversification of lineages in New Guinea prior to its emergence as a landmass and long-distance dispersal to Africa or Asia when no dispersal corridors existed. However, these results may be flawed because the studies relied on unresolved phylogenetic relationships and a controversial biogeographic time calibration. Here, we combine the first genome-scale DNA sequence data set for songbirds, fossil-based time calibrations, and geologically informed biogeographic reconstructions to provide the first well-supported evolutionary hypothesis for the group. We show that songbird diversification began in the Oligocene, but accelerated in the early Miocene, at approximately half the age of most previous estimates. This burst of diversification occurred after island formation in Wallacea, which provided the first dispersal corridor out of Australia, and resulted in independent waves of songbird expansion through Asia to the rest of the globe. Although New Guinea presently contains high songbird species richness, our data unambiguously falsify the proto-Papuan hypothesis for early songbird diversification and suggest that New Guinea has, instead, served as an "evolutionary refuge" for Australian lineages that have diversified more recently within the island. Our results reconcile songbird evolution with Earth history and link a major radiation of terrestrial biodiversity to early diversification within an isolated Australian continent.
Data from: The association between morphological and ecological characters across a global passerine radiation
<ol> <li>Strong relationships between morphological and ecological characters are commonly predicted to reflect the association between form and function, with this hypothesis being well supported in restricted taxonomic and geographic contexts. Conversely, among broader sets of species, ecological variables have been shown to have limited power to explain morphological variation. </li> <li>To understand these apparent discrepancies, for a large and globally distributed passerine radiation we test (i) whether the character states of four ecological variables (foraging mode, diet, strata and habitat) have different morphological optima, (ii) whether ecological variables explain substantial variance in morphology, and (iii) whether ecological character states can be accurately predicted from morphology.</li> <li>We collected ten linear morphological measurements for 782 species of corvoid passerines, and assessed (i) the fit of models of continuous trait evolution with different morphological optima for each ecological character state, (ii) variation in morphological traits among ecological character states using phylogenetically corrected regressions, and (iii) the accuracy of morphological traits in predicting species-level membership of ecological character states using linear discriminant analysis (LDA).</li> <li>Models of morphological evolution with different ecological optima were well supported across numerous morphological axes, corresponding with significant differences in trait distributions among ecological character states. LDA also showed that membership of the ecological categories can be predicted with relatively high accuracy by morphology. In contrast to these findings, ecological variables explain limited amounts of variation in morphological traits.</li> <li>For a global radiation of passerine birds, we confirm that the generation of morphological variation is generally consistent with ecological selection pressures, but that ecological characters are of limited utility in explaining morphological differences among species. Although selection towards different optima means that membership of ecological character states tend to be well predicted by morphology, the overall morphospace of individual ecological character states tend to be broad, implying that morphology can evolve in multiple ways in response to similar selection pressures. Extensive variation in morphological adaptations among similar ecological strategies is likely to be a widespread phenomenon across the tree of life.</li> </ol>
GIMMS FPAR4g, a global dataset of the fraction of absorbed photosynthetically active radiation for 1982—2022
<p><span>The fourth generation of the GIMMS FPAR dataset (GIMMS FPAR4g, version 1.0) offers a temporal resolution of half a month and a spatial resolution of 1/12<span>°</span>, spanning from 1982 to 2022. It was developed based on the PKU GIMMS NDVI that eliminates the orbital drift and sensor degradation issues and high-quality Sensor-Independent FPAR using a combination of a machine learning algorithm and a pixel-wise multi-sensor records integration approach. We have created a separate file in GeoTIFF format for each scene. There are 24 scenes for each year, each of which represents FPAR for half a month. Each scene is associated with a quality control layer inherited from PKU GIMMS NDVI (version: solely). Additionally, we provide global images showcasing the correlation coefficient and RMSE of the pixel-wise regression models for data users. The FPAR4g solely dataset (1982—2015) which has not been calibrated with SI FPAR is also stored in the same repository. It is strongly recommended that users of the GIMMS FPAR4g product read the Readme file before use to ensure proper handling of the fill values and QC flags within the dataset.</span></p>
Data from: Geographic and temporal dynamics of a global radiation and diversification in the killer whale
Global climate change during the Late Pleistocene periodically encroached and then released habitat during the glacial cycles, causing range expansions and contractions in some species. These dynamics have played a major role in geographic radiations, diversification and speciation. We investigate these dynamics in the most widely distributed of marine mammals, the killer whale (Orcinus orca), using a global data set of over 450 samples. This marine top predator inhabits coastal and pelagic ecosystems ranging from the ice edge to the tropics, often exhibiting ecological, behavioural and morphological variation suggestive of local adaptation accompanied by reproductive isolation. Results suggest a rapid global radiation occurred over the last 350 000 years. Based on habitat models, we estimated there was only a 15% global contraction of core suitable habitat during the last glacial maximum, and the resources appeared to sustain a constant global effective female population size throughout the Late Pleistocene. Reconstruction of the ancestral phylogeography highlighted the high mobility of this species, identifying 22 strongly supported long-range dispersal events including interoceanic and interhemispheric movement. Despite this propensity for geographic dispersal, the increased sampling of this study uncovered very few potential examples of ancestral dispersal among ecotypes. Concordance of nuclear and mitochondrial data further confirms genetic cohesiveness, with little or no current gene flow among sympatric ecotypes. Taken as a whole, our data suggest that the glacial cycles influenced local populations in different ways, with no clear global pattern, but with secondary contact among lineages following long-range dispersal as a potential mechanism driving ecological diversification.
Data from: Speciation dynamics during the global radiation of extant bats
Species richness varies widely across extant clades, but the causes of this variation remain poorly understood. We investigate the role of diversification rate heterogeneity in shaping patterns of diversity across families of extant bats. To provide a robust framework for macroevolutionary inference, we assemble a time-calibrated, species-level phylogeny using a supermatrix of mitochondrial and nuclear sequence data. We analyze the phylogeny using a Bayesian method for modeling complex evolutionary dynamics. Surprisingly, we find that variation in family richness can largely be explained without invoking heterogeneous diversification dynamics. We document only a single well-supported shift in diversification dynamics across bats, occurring at the base of the subfamily Stenodermatinae. Bat diversity is phylogenetically imbalanced, but - contrary to previous hypotheses - this pattern is unexplained by any simple patterns of diversification rate heterogeneity. This discordance may indicate that diversification dynamics are more complex than can be captured using the statistical tools available for modeling data at this scale. We infer that bats as a whole are almost entirely united into one macroevolutionary cohort, with decelerating speciation through time. There is also a significant relationship between clade age and richness, suggesting that global bat diversity may still be expanding.
Satellite-retrieved cloud top radiative cooling data in 2014 over global ocean
<p>Satellite-retrieved cloud-top radiative cooling data in 2014 over global ocean, used in a manuscript submitted to GRL (Zheng et al., 2021, GRL).</p>
Daily surface all-wave net radiation over global land (1981—2019) from AVHRR data
<p>Surface net radiation, representing surface radiation energy balance, is closely related to several land processes, such as evapotranspiration, photosynthesis, and turbulent and conductive heat fluxes. Reanalysis products can provide a long-term surface net radiation; however, their coarse spatial resolution and large uncertainties hinder us from well applicating the data at a regional scale. Satellite products also include surface net radiation retrievals with high accuracy. The short time span of satellite products (i.e., GLASS product) makes these satellite products not suitable for long-term climate change study. Therefore, we used a deep learning method to upscale in situ measurements collected from global-distributed sites to generate a daily surface net radiation product with 0.05° spatial resolution from AVHRR data (1981-2019). </p> <p>After comprehensive validation, the RMSE of AVHRR net radiation product was ~26 Wm<sup>-2</sup>, which is generally better than some current reanalysis and satellite products.</p>
Global occurrence of higher-bands ECH waves in radiation belts based on a novel noise reduction algorithm
<p>The database of ECH waves based on observations from Van Allen Probes between September 17, 2012 and October 13, 2019. The probe and the year of observations are marked in the data file names. The columns from left to right are: the mean value of the SuperMAG electrojet index in the previous hour, L-Shell, the magnetic local time, the magnetic latitude, the wave amplitude of band 1to band 4.</p>
MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Monthly Global 0.05º Geographic Grid Since 1981
<p>The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (<a href="https://muses.bnu.edu.cn/">https://muses.bnu.edu.cn/</a>).</p> <p>This dataset is the MUSES global FAPAR product at 0.05º spatial resolution and monthly temporal resolution. The MUSES FAPAR product is provided on Geographic grid and spans from 1981 to 2019 (continuously updated). It was generated from the MUSES LAI product at 0.05º resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: 180º W – 180º E, 90º S – 90º N;</li> <li>Temporal Coverage: 1981 – 2019;</li> <li>Spatial Resolution: 0.05º (approximately 5 km);</li> <li>Temporal Resolution: 1 month;</li> <li>Projection: Geographic;</li> <li>Data Format: HDF;</li> <li>Scale: 0.004;</li> <li>Valid Range: 0 – 250.</li> </ul> <p><strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong></p> <ol> <li>Xiao Zhiqiang, <em>et al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015.</li> <li>Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018.</li> <li>Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022.</li> </ol> <p>If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).</p>
MUSES Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) 8-Day Global 500m SIN Grid in 2015
<p>The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (<a href="https://muses.bnu.edu.cn/">https://muses.bnu.edu.cn/</a>).</p> <p>This dataset is the MUSES global FAPAR product at 500m spatial resolution and 8-day temporal resolution. The MUSES FAPAR product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of PAR through the entire canopy (Xiao <em>et al</em>., 2015). The MUSES FAPAR values are the instantaneous values at 10:30 am local time, close approximation of daily average PAPAR values, and they are physically consistent with the corresponding MUSES LAI values. The MUSES FAPAR product is spatially complete and temporally continuous.</p> <p>This dataset is the MUSES FAPAR product in 2015. <em>Please <a href="https://zenodo.org/record/7803901#.ZC5xT3ZBypo"><strong>click here</strong></a> to download the MUSES FAPAR product <strong>in 2014</strong></em><strong>, </strong>and <em><a href="https://zenodo.org/record/7798475#.ZC0gR3tBw2x"><strong>click here</strong></a> to download the MUSES FAPAR product <strong>in 2016</strong></em>.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2015</li> <li>Spatial Resolution: 500m</li> <li>Temporal Resolution: 8 days</li> <li>Projection: Sinusoidal</li> <li>Data Format: HDF</li> <li>Scale: 0.004</li> <li>Valid Range: 0 – 250</li> </ul> <p><strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong></p> <ol> <li>Xiao Zhiqiang, <em>et al</em>., Estimating the fraction of absorbed photosynthetically active radiation from the MODIS databased GLASS leaf area index product. <em>Remote Sensing of Environment</em>, 171,105-117, 2015.</li> <li>Xiao Zhiqiang, <em>et al</em>., Evaluation of Three Long Time Series for Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 56, 5509-5524, 2018.</li> <li>Zheng Y., Xiao Z., Li J., Yang H., Song J., Evaluation of Global Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) Products at 500 m Spatial Resolution. <em>Remote Sensing</em>, 14, 3304, 2022.</li> </ol> <p>If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).</p>
ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Aqua (2010.07-09)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020).</p> <p>This is the ELITE SLDR (Aqua) product in 2010.07-2010.09. Please <a href="https://zenodo.org/record/8237625"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Aqua) product in 2010.04-2010.06 and <a href="https://zenodo.org/record/8237637"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Aqua) product in 2010.10-2010.12.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Terra (2010.10-12)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020).</p> <p>This is the ELITE SLDR (Terra) product in 2010.10-2010.12. Please <a href="https://zenodo.org/record/8241646"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Terra) product in 2010.07-2010.09 and <a href="https://zenodo.org/deposit/8237629"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Terra) product in 2011.01-2011.03.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
ELITE surface longwave downward radiation: global 1km Swath 5-min SLDR - Terra (2010.07-09)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLDR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2017) and Yang and Cheng. (2020).</p> <p>This is the ELITE SLDR (Terra) product in 2010.07-2010.09. Please <a href="https://zenodo.org/record/8241462"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Terra) product in 2010.04-2010.06 and <a href="https://www.zenodo.org/record/8241651"><strong><em>click here</em></strong></a> to download the ELITE SLDR (Terra) product in 2010.10-2010.12.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
ELITE surface longwave net radiation: global 1km Swath 5-min SLNR - Aqua (2010.07-09)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLNR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2016), Cheng et al. (2017), and Yang and Cheng. (2020). </p> <p>This is the ELITE SLNR (Aqua) product in 2010.07-2010.09. Please <a href="https://zenodo.org/record/8240689"><strong><em>click here</em></strong></a> to download the ELITE SLNR (Aqua) product in 2010.04-2010.06 and <a href="https://zenodo.org/record/8243322"><strong><em>click here</em></strong></a> to download the ELITE SLNR (Aqua) product in 2010.10-2010.12.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng, J., & Liang, S. (2016). Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, <em>54</em>(7), 4115-4129.</li> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
Data from: Speciation dynamics during the global radiation of extant bats
Open the record for dataset details and reuse information.
Data from: Inflation of molecular clock rates and dates: molecular phylogenetics, biogeography, and diversification of a global cicada radiation from Australasia (Hemiptera: Cicadidae: Cicadettini)
Open the record for dataset details and reuse information.
Data from: The association between morphological and ecological characters across a global passerine radiation
Open the record for dataset details and reuse information.
Data from: Geographic and temporal dynamics of a global radiation and diversification in the killer whale
Open the record for dataset details and reuse information.
Data from: Tectonic collision and uplift of Wallacea triggered the global songbird radiation
Open the record for dataset details and reuse information.
Data from: Macroevolutionary patterns and drivers of skull shape in the global radiation of true toads
Open the record for dataset details and reuse information.
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.