Find research datasets worth reusing

opencc-by-4.0Apr 2022View details →

A method for designated target anti-interference tracking combining YOLOv5 and SiamRPN for UAV tracking and landing control

The experiment data includes the experimental results of each part of Chapter 3 of the article. The simulation code is used to implement the simulation experiments in Chapter 3.

openother-openMay 2022View details →

Linking land-use and land-cover transitions to their ecological impact in the Amazon

Authors: Cássio Alencar Nunes, Erika Berenguer, Filipe França, Joice Ferreira, Alexander C. Lees, Julio Louzada, Emma J. Sayer, Ricardo Solar, Charlotte C. Smith, Luiz E. O. C. Aragão, Danielle de Lima Braga, Plinio Camargo, Carlos Eduardo Pellegrino Cerri, Raimundo Cosme, Mariana Durigan, Nárgila Moura, Victor Hugo Fonseca Oliveira, Carla Ribas, Fernando Vaz-de-Mello, Ima Vieira, Ronald Zanetti, Jos Barlow Code repository for the paper: Nunes et al. Linking land-use and land-cover transitions to their ecological in the Amazon. Proceedings of the National Academy of Sciences. 2022. In this repository we included codes and data that we used to run the all the analyses presented in the paper.

Data corresponding to "The Impact of Multi-sensor Land Data Assimilation on River Discharge Estimation"

This dataset is corresponding to the input and output files that were used in this study: Wu, W.-Y., Z.-L. Yang, L. Zhao, P. Lin (2022), Joint Multi-sensor Data Assimilation for Constraining Water Storages and its Impact on Global Discharge Estimation (in revision, RSE)

Data from: a physics-based digital twin for model predictive control of autonomous unmanned aerial vehicle landing

This paper proposes a two-level, data-driven, digital twin concept for the autonomous landing of aircraft, under some assumptions. It features a digital twin instance for model predictive control; and an innovative, real-time, digital twin prototype for fluid-structure interaction and flight dynamics to inform it. The latter digital twin is based on the linearization about a pre-designed glideslope trajectory of a high-fidelity, viscous, nonlinear computational model for flight dynamics; and its projection onto a low-dimensional approximation subspace to achieve real-time performance, while maintaining accuracy. Its main purpose is to predict in real-time, during flight, the state of an aircraft and the aerodynamic forces and moments acting on it. Unlike static lookup tables or regression-based surrogate models based on steady-state wind tunnel data, the aforementioned real-time digital twin prototype allows the digital twin instance for model predictive control to be informed by a truly dynamic flight model, rather than a less accurate set of steady-state aerodynamic force and moment data points. The paper describes in detail the construction of the proposed two-level digital twin concept and its verification by numerical simulation. It also reports on its preliminary flight validation in autonomous mode for an off-the-shelf unmanned aerial vehicle instrumented at Stanford University.

Quantifying the impacts of 166 years of land cover change on lowland bird communities

Land cover change for agriculture is thought to be a major threat to global biodiversity. However, its ecological impact has rarely been quantified in the Northern Hemisphere, as broad-scale conversion to farmland mainly occurred until the 1400s-1700s in the region, limiting the availability of sufficient data. The Ishikari Lowland in Hokkaido, Japan offers an excellent opportunity to address this issue, as hunter–gatherer lifestyles dominated in this region until the mid-19th century and land cover maps are available for the period of land cover changes, i.e., 1850-2016. Using these maps and a hierarchical community model of relationships between breeding bird abundance and land cover types, we estimated that broad-scale land cover change over a 166 year period was associated with more than 70% decline in both potential species-richness and abundance of avian communities. We estimated that the abundance of wetland and forest species declined by >88%, whereas that of bare-ground species increased by >50%. Our results suggest that broad-scale land cover change for agriculture has led to drastic reductions in wetland and forest species and promoted changes in community composition in large parts of the Northern Hemisphere. This study provides potential baseline information that could inform future conservation policies.

openogl-uk-3.0May 2022View details →

HadISDH land: gridded global monthly land surface humidity data version 4.4.0.2021f

HadISDH.land.4.4.0.2021f (Met Office Hadley Centre Integrated Surface Dataset of Humidity) is a near-global gridded monthly mean land surface humidity climate monitoring product created from in situ observations of air temperature and dew point temperature from weather stations. The dataset begins in January 1973. The observations have been quality controlled and homogenised. Uncertainty estimates for observation issues and gridbox sampling are provided. The data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). This version extends the 4.3.1.2020f version to the end of 2021 and constitutes a minor update to HadISDH due to changing the climatology period from 1981-2010 to 1991-2020. All other processing steps for HadISDH remain identical. Users are advised to read the update document in the Docs section for full details. As in previous years, the annual scrape of NOAA's Integrated Surface Dataset for HadISD.3.2.0.2021f, which is the basis of HadISDH.land, has pulled through some historical changes to stations. This, and the additional year of data, results in small changes to station selection. The homogeneity adjustments differ slightly due to sensitivity to the addition and loss of stations, historical changes to stations previously included and the additional 12 months of data. To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: <a href="http://hadisdh.blogspot.co.uk/">http://hadisdh.blogspot.co.uk/</a> References: When using the dataset in a paper please cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference): Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014. Dunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491. Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704-708, doi:10.1175/2011BAMS3015.1 We strongly recommend that you read these papers before making use of the data, more detail on the dataset can be found in an earlier publication: Willett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013.

opencc-by-4.0Mar 2022View details →

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

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

Data from: Phylogenetic distribution and expression pattern analyses identified a divergent basal body assembly protein involved in land plant spermatogenesis

<pre>Data from: Phylogenetic distribution and expression pattern analyses identified a divergent basal body assembly protein involved in land plant spermatogenesis Author information Shizuka Koshimizu1, Naoki Minamino2, Tomoaki Nishiyama3, Emiko Yoro4, Mayuko Sato5, Mayumi Wakazaki5, Kiminori Toyooka5, Kazuo Ebine2,6, Keiko Sakakibara4, Takashi Ueda2,6, and Kentaro Yano1 1 School of Agriculture, Meiji University, Kawasaki 214-8571, Japan 2 Division of Cellular Dynamics, National Institute for Basic Biology, Okazaki 444-8585, Japan 3 Research Center for Experimental Modeling of Human Disease, Kanazawa University, Kanazawa 920-0934, Japan 4 Department of Life Science, Rikkyo University, Tokyo 171‐8501, Japan 5 RIKEN Center for Sustainable Resource Science, Yokohama 230-0045, Japan 6 Department of Basic Biology, SOKENDAI (The Graduate University for Advanced Studies), Okazaki 444-8585, Japan This directory contains 0_README (this file) 1_Marchantia_FL_data 2_Physcomitrella_FL_data 3_Physcomitrella_TEM_images 4_PAML 1_Marchantia_FL_data Raw image data using quantification of spermatid phenotypes in Marchantia. quantification.xlsx: Summary of quantification data. 211111 and 211210: Observation date. ∟Mpbld10-1, Mpbld10-2, and Tak-1: Observed lines. ∟raw data: *.lsm files are raw image data. ∟binary image: *.tif files are binarization images of the Hoechst33342 data. ∟DIC: *.tif files are maximum intensity projection images of the C2 channels (detection of DIC images) of the raw data. ∟Hoechst33342: *.tif files are maximum intensity projection images of the C1 channels (detection of Hoechst33342 signals) of the raw data. 2_Physcomitrella_FL_data Merged data of DIC and Hoechst33342 signal images using quantification of spermatid phenotypes in Physcomitrella. line22-*.png: The images of Ppbld10-22 mutant. line30-*.png: The images of Ppbld10-30 mutant. wt.png: The images of wild type. Number in the images 1: With flagella 2: Without flagella 3_Physcomitrella_TEM_images TEM images of spermatids in the Ppbld10-30 mutant, except for images shown in Supporting Information Fig. S11. 4_PAML Files using analysis by PALM. input.fasta: Input multi fasta file. species_tree.nwk: The gene tree file for the global clock model (rooted using chlorophytes as an outgroup). species_tree_marked.nwk: A gene tree file with marks specifying land plant stem and crown branches as category #1 (for a local clock model). clock1: A directory containing output files of a PAML run with the global clock model (clock = 1) clock2: A directory containing output files of a PAML run with a local clock model (clock = 2). The branches assumed to have a different rate (r1) than the default rate r0 are specified with #1 in species_tree_marked.nwk.</pre>

Land use influences the composition and antimicrobial effects of propolis

Honey bee propolis is a complex, resinous mixture created by bees using plant sources such as leaves, flowers, and bud exudates. This study characterized how cropland surrounding apiaries affects the chemical composition and antimicrobial effects of propolis. The chemical composition and compound abundance of the propolis samples were analyzed using Gas Chromatography-Mass Spectrometry (GC-MS) and the antimicrobial effects were analyzed using the 50% minimum inhibitory concentration (MIC50) assay against four relevant bee pathogens, Serratia marcescens, Paenibacillus larvae, Lysinibacillus sphaericus, and Klebsiella pneumoniae. Propolis composition varied significantly with apiary, and cropland coverage predicted mean sum abundance of compounds. The apiary with the highest cropland coverage exhibited significantly higher MIC50 values for S. marcescens and K. pneumoniae compared to other apiaries. These results demonstrate that agricultural land use surrounding honey bee apiaries decreases the chemical quality and antimicrobial effects of propolis, which may have implications for the impacts of land use on hive immunity to potential pathogens.

Behavioral and postural analyses establish sleep-like states for mosquitoes that can impact host landing and blood feeding

Sleep is an evolutionarily conserved process that has been described in different animal systems. For insects, sleep characterization has been primarily achieved using behavioral and electrophysiological correlates in a few systems. Sleep in mosquitoes, which are important vectors of disease-causing pathogens, has not been directly examined. This is surprising as circadian rhythms, which have been well studied in mosquitoes, influence sleep in other systems. In this study, we characterized sleep in mosquitoes using body posture analysis and behavioral correlates and quantified the effect of sleep deprivation on sleep rebound, host landing and blood-feeding propensity. Body and appendage position metrics revealed a clear distinction between the posture of mosquitoes in their putative sleep and awake states for multiple species, which correlate with a reduction in responsiveness to host cues. Sleep assessment informed by these posture analyses indicated significantly more sleep during periods of low activity. Nighttime and daytime sleep deprivation resulting from the delivery of vibration stimuli induced sleep rebound in the subsequent phase in day and night active mosquitoes, respectively. Lastly, sleep deprivation suppressed host landing in both laboratory and field settings, and impaired blood-feeding of a human host when mosquitoes would normally be active. These results suggest that quantifiable sleep states occur in mosquitoes and highlight the potential epidemiological importance of mosquito sleep.

Termite diversity is resilient to land-use change

Cocoa is an important crop for Ghana's economy, contributing 25% of Gross Domestic Product (GDP). The crop, however, is mainly cultivated on forest-derived soils and is a major cause of land-use change. Termites are an important biological component of tropical ecosystems providing numerous ecosystem services. Previous studies have indicated that termites are sensitive to forest disturbance and decrease in richness and abundance across land-use intensification gradients, with consequences for the essential services that they provide. Native shade trees are often used to improve cocoa cultivation and may reduce the detrimental effects of land-use change on some aspects of biodiversity. The aim of this study was therefore to explore how termites respond to land-use change along a shade-tree gradient in Kakum National Park and surrounding cocoa farms in Ghana (from forest at 80% tree cover to cocoa with no shade cover, to the extreme of cultivated arable crop land). It was predicted that termite richness and abundance would decrease with decreasing shade cover, and with increasing distance from the forest edge. Thirty-four species from 29 genera were sampled, with Ancistrotermes crucifer being found in all the locations (47% of all encounters). Species richness and abundance differed marginally across the land-use gradient, as well as the distance from the forest edge, however, species richness did not show any significance with distance. All the same, termite communities were robust to the disturbance. Our findings suggest that though site influenced species richness and abundance, cocoa trees can play a crucial role in maintaining biodiversity and environmental quality in an agricultural landscape by providing a habitat for forest species that are not found in pastures or farm fields. However, we caution that the relatively low forest baseline of existing forest diversity may inflate the value of cocoa land, with those forests no longer representing undisturbed natural habitats: this highlights that shifting baselines may need to be accounted for when interpreting findings in the Anthropocene.

opencc-by-4.0Mar 2022View details →

Land Surface Temperature for the city of Berlin

Daily daytime and nighttime Land Surface Temperature products of 100 m x 100 m spatial resolution covering 2018 - 2019 over a large area in Berlin, derived from MODIS satellite thermal acquisitions using downscaling techniques.

Land use/land cover maps

LULC data were downloaded from the Resource and Environment Data Cloud Platform of China at http://www.resdc.cn/Datalist1.aspx?FieldTyepID=1,3

land use dataset of geogrid in China 2020

The landuse dataset of China in 2020 produced by MCD12Q1v006 data,with a spatial resolution of 500 meters. See https://mp.weixin.qq.com/s/AzOnWFOEnxafgfRupAMz-w for detailed methods and other years can be made by the same method.

Data from: Land-based climate solutions for the United States

Meeting end-of-century global warming targets requires aggressive action on multiple fronts. Recent reports note the futility of addressing mitigation goals without fully engaging the agricultural sector, yet no available assessments combine both nature-based solutions (reforestation, grassland and wetland protection, and agricultural practice change) and cellulosic bioenergy for a single geographic region. Collectively, these solutions might offer a suite of climate, biodiversity, and other benefits greater than either alone. Nature-based solutions are largely constrained by the duration of carbon accrual in soils and forest biomass; each of these carbon pools will eventually saturate. Bioenergy solutions can last indefinitely but carry significant environmental risk if carelessly deployed. We detail a simplified scenario for the U.S. that illustrates the benefits of combining approaches. We assign a portion of non-forested former cropland to bioenergy sufficient to meet projected mid-century transportation needs, with the remainder assigned to nature-based solutions such as reforestation. Bottom-up mitigation potentials for the aggregate contributions of crop, grazing, forest, and bioenergy lands are assessed by including in a Monte Carlo model conservative ranges for cost-effective local mitigation capacities, together with ranges for (a) areal extents that avoid double counting and include realistic adoption rates and (b) the projected duration of different carbon sinks. The projected duration illustrates the net effect of eventually saturating soil carbon pools in the case of most strategies, and additionally saturating biomass carbon pools in the case of reforestation. Results show a conservative end-of-century mitigation capacity of 110 (57 – 178) Gt CO2e for the U.S., ~50% higher than existing estimates that prioritize nature-based or bioenergy solutions separately. Further research is needed to shrink uncertainties but there is sufficient confidence in the general magnitude and direction of a combined approach to plan for deployment now.

Data Shared: Human land-uses homogenize stream assemblages and reduce animal biomass production

This is a dataset compiled from 117 sampling stream sites distributed across two neotropical biomes (rainforest and grassland). Dataset included single scaled vales of human land-use (agriculture, pasture, urbanization, and afforestation), scaled values of multifaceted biodiversity of fish, arthropods, and macrophytes (taxonomic richness, functional diversity[FDis], CWV and CWM of trait categories [recruitment and life-history, resource and habitat-use, and body size]), scaled values of local environmental predictors (stream site depth, water quality deterioration index, and sediment heterogeneity index), scaled values of climate predictors (temperature and precipitation), and log of animal biomass (fish and arthropod).

Human land-use effects on mammalian mesopredator occupancy of a northeastern Connecticut landscape

Mammalian mesopredators—mid-sized carnivores—are ecologically, economically and socially important. With their adaptability to a variety of habitats and diets, loss of apex predators and forest regrowth, many of these species are increasing in number throughout the northeastern USA. However, currently the region is seeing extensive landscape alterations, with an increase in residential and industrial development especially at the expense of existing forest and small-scale farmland. We sought to understand how important an existing mosaic of working lands (timberland and farmland) in a forested landscape is to mesopredator species. We did this through studying mesopredator occupancy across three land uses (or habitat types): forest reserve (protected), timber harvest (shelterwood cuts) and field (both crop yielding and fallow) in and around a 3200-ha forest in northeastern Connecticut. We examined coyote (Canis latrans), bobcat (Lynx rufus), fisher (Pekania pennanti), and raccoon (Procyon lotor) occupancy using paired camera traps across juxtaposed reserve, shelterwood and field units from April 2018 to March 2019. We created a priori habitat variable models for each species and season, as well as analyzed the impact of habitat types on each species. Throughout the year bobcats positively associated with foliage height diversity, and had the highest use of shelterwoods and lowest of fields. Land use utilization varied seasonally for coyotes and raccoons, with higher use of fields than reserves and shelterwoods for half the year and no difference between land uses the other half. Both species were not strongly associated with any particular habitat variables. Reserve forest was moderately to highly used by all species for at least half the year, and highly use year-round by fisher. Our findings reveal that a mosaic of intact forest and working lands, timber harvest and agriculture can support mesopredator diversity.

opencc-by-4.0Dec 2022View details →

Climate Impacts of Parameterizing Subgrid Partitioning of Land Surface Heat Fluxes to the Atmosphere with the NCAR CESM1.2

The modified code as well as the CAM5 output for all the simulations in this study (V0 for the CTL run, CON1 for the EXP run, and PCON1R for EXP_COR run). The CESM1.2.1-CAM5.3 source code can be downloaded through the CESM official website https://www.cesm.ucar.edu/models/cesm1.2/cesm/doc/usersguide/x290.html#download_ccsm_code. Its output files are named in V0*.nc. The modified code for the EXP run in the study is in CON1.tar, with its CAM5 output files named in CON1*.nc. The modified code for the EXP_COR run in the study is in PCON1R.tar, with its CAM5 output files named in PCON1R*.nc

opencc-zeroJun 2022View details →

The biome inventory – standardizing global biogeographical land units

The subdivision of the Earth's terrestrial surface into different biomes, ecozones, bio-climatic realms or other large ecological land units is an essential reference for global biogeographical and ecological studies. Various classification schemes exist. They differ significantly in terms of the considered criteria for classification and the underlying methodology of class assignments. Evident divergences between global biome concepts are elusive, weakening hereon based analyses and assumptions. Compilation and standardization are essential for obtaining a framework that enables the comparison of different products. To address this need, we created a catalogue of standardized categorial maps comprising 31 different global products based on various methodological approaches. Those were processed individually to facilitate their use in large-scale biogeographical and ecological analyses.

MAgPIE model - Land use change and carbon emissions of a transformation to timber cities

MAgPIE source code for reproducibility Land use change and carbon emissions of a transformation to timber cities (Nature Communications, 2022) DOI: 10.1038/s41467-022-32244-w Abhijeet Mishra1,2,*, Florian Humpenöder1, Galina Churkina1, Christopher P.O. Reyer1, Felicitas Beier1,2, Benjamin Leon Bodirsky1, Hans Joachim Schellnhuber1, Hermann Lotze-Campen1,2, and Alexander Popp1 1 Potsdam Institute for Climate Impact Research (PIK), Member of Leibniz Association, P.O.Box 60 12 03, 14412,6 Potsdam, Germany 2 Humboldt University of Berlin, Department of Agricultural Economics, Unter den Linden 6, 10099 Berlin,8 Germany Abhijeet Mishra *mishra@pik-potsdam.de May 2022 See README.md for further details.