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8,375 results for “nationalism”
FIGURE 27 in Orthoptera (Insecta: Tettigonioidea, Pyrgomorphoidea, Acridoidea) of Kafa Biosphere Reserve, Bale Mountains National Park and other areas of conservation interest in Ethiopia
FIGURE 27. Habitus of male and female Peropyrrhicia keffensis n. sp. Scale bar represents 1 cm.
FIGURE 5 in Orthoptera (Insecta: Tettigonioidea, Pyrgomorphoidea, Acridoidea) of Kafa Biosphere Reserve, Bale Mountains National Park and other areas of conservation interest in Ethiopia
FIGURE 5. Pseudorhynchus lanceolatus, Dembi Forest (1260 m), Ethiopia. Scale bar represents 1 cm.
FIGURE 48. Paracinema t in Orthoptera (Insecta: Tettigonioidea, Pyrgomorphoidea, Acridoidea) of Kafa Biosphere Reserve, Bale Mountains National Park and other areas of conservation interest in Ethiopia
FIGURE 48. Paracinema t. tricolor, Shorori Wetland (1610), Ethiopia. Scale bar represents 1 cm.
Figure 2. - Bayesian (GTR+Γ+I and HKY+Γ models) and maximum likelihood 50% majority-rule consensus tree. Numbers in the nodes represent posterior probabilities (GTR+Γ+I and HKY+Γ, respectively), and bootstrap value for maximum likelihood and parsimony analyses, respectively. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas. MYBP–million years before present.
Figure 2. - Bayesian (GTR+Γ+I and HKY+Γ models) and maximum likelihood 50% majority-rule consensus tree. Numbers in the nodes represent posterior probabilities (GTR+Γ+I and HKY+Γ, respectively), and bootstrap value for maximum likelihood and parsimony analyses, respectively. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas. MYBP–million years before present.
Figure 1. - Sample sites of Palaemoncarteri, Palaemonivonicus and Palaemonyuna sp. n. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas; AC-Acre; AM-Amazonas; AP-Amapá; MS-Mato Grosso do Sul; MT-Mato Grosso; PA-Pará and RO-Rondônia.
Figure 1. - Sample sites of Palaemoncarteri, Palaemonivonicus and Palaemonyuna sp. n. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas; AC-Acre; AM-Amazonas; AP-Amapá; MS-Mato Grosso do Sul; MT-Mato Grosso; PA-Pará and RO-Rondônia.
Research table for visualization of research performance of the German National Library of Science and Technology, German National Library of Medicine and German National Library of Economics via different communication channels
<p>A collection of data for (a practice) work during my studies for Bachelor. Since there wasn't much time given the data collection isn't as complete as it could be. Also, all text is in German.</p> <p>Definition of variables for data collection can be found in my finished work "How is reserach performance of the German National Library of Science and Technology, German National Library of Medicine and German National Library of Economics made visible via different communication channels; analysis of information of publication on official social media channels and news on offical webside" (in question to be published on Zenodo).</p> <p>Collected data from following official communication channels: Facebook, Twitter, Blogs, Google +, Youtube, Flickr, LinkedIn, Research-Gate, Slideshare, repository and news on websites. For some channels not all data could be collected. Research period from 01.08.2016 to 01.02.2017 (half a year).</p>
Survey of National Postdoctoral Association - Dataset
<p>The dataset contains the responses from a survey conducted on the National Postdoctoral Association through the organization's mailing list. The responses were recorded through a Google Form that was accepting responses from 03/07/2017 to 04/06/2017. The names of the participants were not recorded, and other potential identifying information was removed from the dataset.</p>
Evaluating and Improving Snow in the National Water Model, using Observations from the New York State Mesonet
This dataset repository contains the dataset that supports the study of Minder et al. (2024): Evaluating and Improving Snow in the National Water Model, using Observations from the New York State Mesonet. The datasets in this archive include output from distributed simulations of the WRF Hydro model, output from point simulations with the Noah-MP land surface model, and manual and automated snow water equivalent (SWE) observations at New York State Mesonet (NYSM) station locations. The formatting and file naming conventions for each dataset are described in detail in the minder_etal_NWM_snow_dataset_ReadMe.pdf file.
Extracting positive descriptions and exploring landscape value using text analysis in the Cairngorms National Park
<p>The dataset was retrieved August 31, 2023, from <a href="http://data.geograph.org.uk/dumps/">http://data.geograph.org.uk/dumps/</a></p><p>Geograph project require all submitters to adopt a Creative Commons Attribution-ShareAlike licence on their photographic submissions.<br><a href="http://creativecommons.org/licenses/by-sa/2.0/">http://creativecommons.org/licenses/by-sa/2.0/</a></p>
Dataset from paper: "Mind the Gap: Reconciling tropical forest carbon flux estimates from Earth Observation and National Reporting requires transparency"
<p>This repository contains the processed data used in the publication of Heinrich et al., 2023 (Mind the Gap: Reconciling tropical forest carbon flux estimates from Earth Observation and National Reporting requires transparency). Carbon Balance and Management: https://cbmjournal.biomedcentral.com/articles/10.1186/s13021-023-00240-2 </p><p>When using this data, full reference to the raw data publications and the publication Heinrich et al., 2023 must be made.</p><p>The raw datasets used in this study are all available from their original sources.</p><p> </p>
Tshikombeni knowledge of national biodiversity symbols in South Africa
<p>Most countries have declared one or more animal or plant species to be amongst their national symbols, termed here national biodiversity symbols. National biodiversity symbols are the species formally or informally recognised by societies and countries as having meaning to one or more of national identity, values and unity.</p> <p>It has been proposed previously that national biodiversity symbols can be used as flagship species to advance habitat conservation in their respective countries. However, this assumes that the symbols are well known and revered by the citizens of the country concerned. We examined this assumption via direct interviews with 382 urban residents in four towns in South Africa, which is a mega-biodiversity country with five national biodiversity symbols (a national tree, flower, animal, bird and fish).</p> <p>We found that less than 3 % of the urban respondents could name all five species, ranging from 6 % for the national tree to 40 % for both the national flower and national animal. Knowledge of other national symbols (flag and anthem) were equally low. The number of national biodiversity symbols known increased with income and education level of respondents. Despite limited knowledge of which species were the national biodiversity symbols, almost two-thirds of respondents felt that having national biodiversity symbols was important for promoting national identity.</p> <p>These findings show that from a heritage perspective a great deal more awareness needs to be developed in South Africa around the national biodiversity symbols. From a conservation perspective, it indicates that the national biodiversity symbols are unlikely, at this stage at least, to be useful as flagship species for habitat conservation programmes.</p>
Spatial and temporal niche overlap of aardwolves and aardvarks in Serengeti National Park, Tanzania
<p>Species interactions can influence species distributions, but mechanisms mitigating competition or facilitating positive interactions between ecologically similar species are often poorly understood. Aardwolves (<em>Proteles cristata</em>) and aardvarks (<em>Orycteropus afer</em>) are nocturnal, insectivorous mammals that co-occur in eastern and southern Africa, and knowledge of these species is largely limited to their nutritional biology. We used aardwolf and aardvark detections from 106 remote cameras during 2016–2018 to assess their spatial and temporal niche overlap in the grasslands of Serengeti National Park, Tanzania. Using a multispecies occupancy model, we identified a positive interaction between occupancy probabilities for aardwolves and aardvarks. Slope, proportion of grassland, and termite mound density did not affect occupancy probabilities of either species. Probability of aardwolf, but not aardvark, occupancy increased with distance to permanent water sources, which may relate to predation risk avoidance. Diel activity overlap between aardwolves and aardvarks was high during wet and dry seasons, with both species being largely nocturnal. Aardwolves and aardvarks have an important ecological role as termite consumers, and aardvarks are suggested to be ecosystem engineers. Our results contribute to a better understanding of the spatial and temporal niche of insectivores like aardwolves and aardvarks, suggesting high spatial and temporal niche overlap in which commensalism occur, whereby aardwolves benefit from aardvark presence through increased food accessibility.</p>
Argentina National Map of Crops 2022/2023
<p>Crop type map covering the main agricultural areas of Argentina for growing season 2022/2023. This version includes two different maps for winter and summer crops. Maps were generated using supervised classification methods with samples obtained from on-road surveys and Landsat satellite images along the growing season. Files provided include a Geotiff version of each map with a resolution of 30 m and legend style files. The report includes the methodological details, map legend and accuracy assessments (in Spanish). A web visualizer can be accessed through the following link: <a href="https://deabelle.users.earthengine.app/view/mnc22-23">https://deabelle.users.earthengine.app/view/mnc22-23</a></p>
Carbon, water and energy fluxes at the subtropical forest in Kaziranga National Park in India
<p>This dataset contains measured and modeled records of gross primary productivity (GPP), sensible heat flux and latent heat flux from 2016 to 2018 at the Kaziranga National Park, India. The measured fluxes are obtained from eddy covariance technique at the flux tower established by the Indian Institute of Tropical Meteorology (IITM) Pune as part of the MetFlux India network funded by the Ministry of Earth Sciences (MoES), the Government of India, whereas the Integrated Science Assessment Model (ISAM) at the Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Illinois, USA is used to simulate these fluxes. Additionally, the leaf area index (LAI) and meteorological measurements used as the model input are also included in this dataset. </p>
African Continent of Flags of Nations Animus Prime Research Collective
<p>In a remarkable show of unity and diversity, the nations of Africa came together to proudly display their national flags. This captivating sight was witnessed at an event that celebrated the rich cultural heritage and shared aspirations of the continent. The vibrant display of flags served as a visual reminder of the strong bond that unites the African nations. Representatives from each country unfurled their flags, each boasting a unique design and symbolism that reflects their individual history, traditions, and values. From the bold colors of Ghana's flag representing the country's vibrant spirit, to the symbol of peace and harmony depicted on the flag of Rwanda, the diversity of African culture was proudly showcased. The event was not only a celebration of diversity but also a demonstration of solidarity. As the flags fluttered in unison, it served as a powerful reminder of the collective strength and determination of the African nations to overcome challenges and work towards a brighter future. The flags also symbolized the shared purpose of the African nations to foster peace, stability, and development on the continent.</p><p> They stood as a testament to the commitment of African leaders and citizens to create a better tomorrow, one that is characterized by progress, prosperity, and mutual respect. During the event, attendees marveled at the array of flags on display, recognizing the rich tapestry of cultures and identities that make up the African continent. Visitors had the opportunity to learn about the unique stories and symbolism behind each flag, gaining a deeper appreciation for the values and aspirations of the respective countries. In addition to celebrating unity and diversity, the event aimed to promote cultural exchange and strengthen diplomatic ties among the African nations. Representatives engaged in fruitful discussions, forging new partnerships, and exploring avenues for collaboration in various fields, including trade, tourism, and education. As the event drew to a close, the resonance of this display of flags lingered in the hearts and minds of all who attended. The unity and diversity showcased through this visual spectacle served as a powerful reminder of what can be achieved when nations come together to celebrate their unique identities and work towards a common goal. As the flags were gently folded and put away, the spirit of unity continued to resonate, leaving a lasting impression on all who witnessed this magnificent display. The message was clear: when the nations of Africa stand together, they stand strong, united, and poised to overcome any challenge that comes their way. In the spirit of celebrating African culture and progress, let us honor this display of unity by embracing the values of diversity, solidarity, and collaboration. Together, we can build a brighter future for Africa and the world at large.</p>
KNMI'23 national climate scenarios - background dataset
<p>Dataset associated with <strong>Van der Wiel et al. (202?): KNMI'23 climate scenarios for the Netherlands: storyline scenarios of regional climate change, Earth's Future</strong><i><strong>, in review</strong></i><strong>.</strong></p><p>This dataset contains the CMIP6 data and EC-Earth3/RACMO data that formed the basis for the KNMI'23 national climate scenarios for the Netherlands (<a href="http://www.knmi.nl/klimaatscenarios">www.knmi.nl/klimaatscenarios</a>). Full details on the methodology, including the origin of this dataset, can be found in the above referenced paper.</p><ul><li><strong>original_ensembles.tar.gz</strong> - Contains the original CMIP6, EC-Earth3 and RACMO-based time series for the NL and NL+RM regions, for all variables of interest (TAS, PR, PET, WBDEFICIT, RSDS, PR10DMAX). Additionally, for TAS also global-mean time series are provided. Data from the historical experiment and three SSP-scenario experiments (SSP1-2.6, SSP2-4.5, SSP5-8.5) are provided.</li><li><strong>resampled_ensembles.tar.gz</strong> - Contains resampled datasets of EC-Earth3 and RACMO data, for each scenario-time horizon combination (Ld,Ln,Md,Mn,Hd,Hn, and 2050,2100,2150). Again these are the NL and NL+RM regional mean time series, for the variables of interest.</li></ul><p>Final data products for the KNMI'23 national climate scenarios can be downloaded from <a href="https://klimaatscenarios-data.knmi.nl/">https://klimaatscenarios-data.knmi.nl/</a>.</p>
Checklist of the lichens of the Cabañeros National Park and the surrounding territory
<p>The dataset contains 602 species (4606 records) collected/observed during several field studies carried out since the year 2001. A total of 120 localities were sampled, covering a wide range of substrates, altitudes, orientations, land uses and different types of Mediterranean forests and shrublands. We have identified 303 epiphytic species (<i>Arbutus unedo</i>, <i>Cistus ladanifer</i>, <i>Fraxinus angustifolia</i>, <i>Juniperus oxycedrus</i>, <i>Quercus ilex</i>, <i>Q. faginea</i>, <i>Q. pyrenaica</i>, <i>Q. suber</i>, ...), 102 terricolous species (forest slopes and bare soils) and 324 saxicolous species (quartzites, slates, granites, and limestone rocks). Only 4% of the species grew on three types of substrates (rock-soil-bark), 12% of the species grew on two types of substrates (soil-bark or soil-rock), while the rest of the species were substrate specific. This high diversity (more than a fifth of the total lichen species of the Iberian Peninsula) is linked to an enormous variety of substrates and environmental conditions, further favored by the presence of several unmanaged and well-preserved forests. Areas with higher lichen diversity were: Chorro Valley, Boquerón del Estena and the surrounding territory, and Gargantilla land. The checklist is annotated with information on the species, province, municipality, locality, geographic position, altitude, habitat, collector name, date, and associated reference. When the same geographical information of a specific specimen is referenced in several scientific papers (e.g., taxonomic, floristic, phylogenetic, ecology papers), we have chosen to add just one reference (generally the oldest).</p>
Dataset for Gidden et.al. 2023 Updated AR6 Mitigation Benchmarks using National Emissions Inventories
<p>Scenario variables related to LULUCF emissions and removals in IPCC-assessed scenarios from AR6 calculated using OSCAR. Both direct fluxes, corresponding to model-reporting conventions, and indirect fluxes, which constitute an alignment factor to national inventories, are provided. See the original publication for more details (<a href="https://www.nature.com/articles/s41586-023-06724-y">https://www.nature.com/articles/s41586-023-06724-y</a>).</p><h4>Change log from version 1</h4><ul><li><i>AR6 Reanalysis|OSCARv3.2|Emissions|CO2|AFOLU</i> and <i>AR6 Reanalysis|OSCARv3.2|Carbon Removal|Land</i> are removed, users should explicitly calculate if needed but otherwise use direct and indirect fluxes.</li><li><i>AR6 Reanalysis|OSCARv3.2|Carbon Removal</i> is now calculated only using the direct flux component (i.e., <i>AR6 Reanalysis|OSCARv3.2|Carbon Removal|Land|Direct</i>)</li></ul>
National-scale tree species/genera map for Poland from Sentinel-2 time series
<p>Map of 16 dominant tree species/genera in Poland based on classification of time series of Sentinel-2 imagery. This dataset is associated with the article by Grabska-Szwagrzyk et al. (2024)<em>: <a href="https://essd.copernicus.org/articles/16/2877/2024/">Map of forest tree species for Poland based on Sentinel-2 data.</a></em></p> <p>The map is provided as GeoTiff file. In addition, training and test data is provided in shapefile format. The map can be explored online in a <a href="https://ee-aweaksbarg.projects.earthengine.app/view/speciesmappl">webviewer</a>.</p> <p> </p>
A checklist of the spiders (Arachnida, Araneae) of the Kirstenbosch National Botanical Garden, South Africa
<p>An annotated species list of spiders presently known from the Kirstenbosch National Botanical Garden is provided. The checklist was compiled from data collected from the South African National Survey of Arachnida (SANSA) database. A total of 170 spe-cies from 46 families and 128 genera are presently protected in the garden. The two most species-rich families are the Salticidae (20 spp.) and Thomisidae (20 spp.), followed by the Theridiidae (13 spp.) and Araneidae (12 spp.), while 18 families are represented by sin-gletons. The global distribution, endemicity, and conservation status for each species are provided and species of special concern are identified, as well as possible new species. Most of the species (82%) have a wide distribution range and are of Least Concern, 8.3% are Data Deficient and 17 species are of special concern. Only one species is endemic to Kirstenbosch, and 37 are Western Cape endemics.</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.