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11,198 results for “organs”
Soil biota (earthworm, nematode and soil surface fauna) data of organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Figure 5 in Notes on the electric organ discharges (EODs) of four Mormyrus-species (Osteoglossomorpha: Mormyridae) from the Nilo-Sahelo-Sudan ichthyofaunal province of Africa
Figure 5. - Scatterplot of logarithmic total signal duration in µs versus logarithmic peak of fast Fourier transformation in Hz. Each symbol represents a single EOD from M. caschive (open triangle, n = 8), M. hasselquistii (open inverse triangle, n = 31), M. kannume (filled triangle, n = 3) and M. rume (filled inverse triangle, n = 7).
Figure 4 in Notes on the electric organ discharges (EODs) of four Mormyrus-species (Osteoglossomorpha: Mormyridae) from the Nilo-Sahelo-Sudan ichthyofaunal province of Africa
Figure 4. - Boxplots of selected signal characteristics. A: Total EOD duration in µs; B: Relative amplitude of main positive phase; C: Peak frequency of fast Fourier transformation in Hz.
Figure 3 in Notes on the electric organ discharges (EODs) of four Mormyrus-species (Osteoglossomorpha: Mormyridae) from the Nilo-Sahelo-Sudan ichthyofaunal province of Africa
Figure 3. - Exemplary AC coupled measurements of electric organ discharges (EODs) of Mormyrus species. A: M. caschive, 97 mm SL, White Nile at Kosti, Sudan. B: M. kannume, 169 mm SL, White Nile at Khartoum, Sudan. C: M. hasselquistii, 188 mm SL, Mare Diwouni, Pendjari National Park, Benin. D: M. rume, 230 mm SL, Ouémé at Kpoto, Benin.
Figure 2 in Notes on the electric organ discharges (EODs) of four Mormyrus-species (Osteoglossomorpha: Mormyridae) from the Nilo-Sahelo-Sudan ichthyofaunal province of Africa
Figure 2. - AC coupled measurement of electric organ discharge (EOD) of Mormyrus caschive (97 mm SL; White Nile at Kosti, Sudan) showing nomenclature of waveform characteristics as used in this study. m-POS = main positive phase; m-NEG = main negative phase; p-POS = posterior positive phase. Beginning and end of the signal is given by exceeding 1.5% of the total amplitude; beginning and end of phases within the signal by zero-crossings.
Figure 1 in Notes on the electric organ discharges (EODs) of four Mormyrus-species (Osteoglossomorpha: Mormyridae) from the Nilo-Sahelo-Sudan ichthyofaunal province of Africa
Figure 1. - Outline of the African continent showing sampling sites of the study. Only sampled river systems are displayed.
Predation activity data in organic, permaculture and conventional horticultural farms of Central Hungary
<p>This dataset has been produced from the PhD research of Alfréd Szilágyi supervised by Csaba Centeri and Eszter Kovács Tormáné. The study compared permaculture, organic and conventional farming systems regarding their ecosystem-service provision potential and sustainability. Multiple ecological indicators were measured in the field during the field study in 2020, and the basic datasets (soil test results; photo gallery of the studied farms with soil core sample; soil resistance and moisture; decomposition; earthworms; nematodes; soil surface fauna; pollinators; agrobiodiversity and habitat types) are uploaded in Zenodo separately to provide scientific data on permaculture systems. In this way, we hope to contribute to international efforts to evaluate the performance of agroecological agriculture alternatives. These publications also serve as supplements to the PhD thesis. For the sake of further usability of the datasets short description of the used methods is described. For further information please contact the authors.</p>
Predicting Partial Atomic Charges in Metal-Organic Frameworks: An Extension to Ionic MOFs
<p>This dataset is associated with the study <em>"Predicting Partial Atomic Charges in Metal-Organic Frameworks: An Extension to Ionic MOFs."</em> Detailed instructions for installation, usage, and example scripts for the PACMOF2 models can be found on our GitHub <a href="https://github.com/snurr-group/pacmof2">repository</a>.</p> <div> <div> <div> <div> <p>The dataset includes the following files:</p> <ul> <li><strong>DDEC6_data.zip</strong>: Contains the crystal structures of MOFs with DDEC6 partial charges.</li> <li><strong>PACMOF2_prediction_cifs.zip</strong>: Contains the crystal structures of MOFs with DDEC6 charges as predicted by the PACMOF2 models.</li> <li><strong>PACMOF2_ionic.gz</strong>: A machine learning model designed to predict charges in ionic MOFs with a non-zero formal charge.</li> <li><strong>PACMOF2_neutral.gz</strong>: A machine learning model designed to predict charges in neutral MOFs.</li> </ul> <p>For more details about each file, please refer to the accompanying <code>README.md</code> file.<br><br><br>Updates: <br>- September 2024 (version 1.0.1): Added README.md file.</p> </div> </div> </div> </div>
Global warming effects of cropland expansion by reduction of biogenic secondary organic aerosols
<p><span>This is the dataset to support our paper title of “Global warming effects of cropland expansion by reduction of biogenic secondary organic aerosols”. Cropland expansion has been the most significant global land use change since industrialization. However, evaluations of radiative forcing from land use changes have often neglected the radiative effects of secondary organic aerosols (SOA) linked to cropland expansion. Sensitivity experiments using an Earth system model that incorporates advanced SOA processes reveal approximately a 10% reduction in the global biogenic SOA burden due to cropland expansion since industrialization. This reduction weakens SOA</span><span>’</span><span>s role in scattering radiation and forming clouds, leading to a decline in its cooling effect by 146 mW m⁻², which is equivalent to 8% of the warming caused by CO₂ emissions since industrialization. This effect is expected to increase by nearly half under future climate warming and reduced emissions scenarios. Therefore, policies addressing food security and climate change must consider the radiative impacts of biogenic SOA associated with cropland expansion.</span></p> <p><span> </span></p> <p><span>The dataset consists of three zip files, which include model code and output from sensitivity simulations conducted with the Community Earth System Model (CESM) version 1.2.2, using the IMPACT aerosol module and an offline radiative model. The files are described as follows:</span></p> <p><span> </span></p> <p><strong><span>Model code.zip:</span></strong><span> Contains the source code for the IMPACT aerosol module, which was integrated as an additional aerosol module within CESM version 1.2.2, available from the NCAR repository.</span></p> <p><span> </span></p> <p><strong><span>PD_Cases.zip:</span></strong><span> This file contains two folders (<strong>Concentration and Radiation</strong>), which hold the simulation results for concentration and radiation in present-day cases. The Concentration folder includes 13 subfolders. The Radiation folder contains four subfolders representing different radiation simulation results. These include simulations with and without the direct radiative effects of SOA (labeled <strong>ADEwSOA</strong> and <strong>ADEwoSOA</strong> respectively) and simulations with and without the indirect radiative effects of SOA (labeled <strong>AIEwSOA</strong> and <strong>AIEwoSOA</strong> respectively). Each of these subfolders contains 13 additional subfolders, which share the same names as those in the Concentration folder. These 13 subfolders correspond to specific sensitivity experiments, the details of which are explained below. Within each subfolder, you will find the five-year averaged model output for all 12 months.</span></p> <p><strong><span>18L20E20C</span></strong><span> represents simulations with pre-industrial land use, and present-day emissions and climate conditions; </span></p> <p><strong><span>20L20E20C</span></strong><span> represents simulations with present-day land use, emissions, and climate conditions.</span></p> <p><span>Eight subfolders for single vegetation type transition experiments include model output for cases where land use transitions from deciduous broadleaf forest to cropland (<strong>DBF2CRO</strong>), evergreen broadleaf forest to cropland (<strong>EBF2CRO</strong>), evergreen needleleaf forest to cropland (<strong>ENF2CRO</strong>), grassland to cropland (<strong>GRA2CRO</strong>), shrubland to cropland (<strong>SHR2CRO</strong>), deciduous broadleaf forest to grassland (<strong>DBF2GRA</strong>), evergreen broadleaf forest to grassland (<strong>EBF2GRA</strong>), and evergreen needleleaf forest to grassland (<strong>ENF2GRA</strong>).</span></p> <p><span>Three subfolders for latitude-specific experiments cover conversions for all vegetation types in tropical (20</span><span>°</span><span>S</span><span>–</span><span>20</span><span>°</span><span>N, <strong>LLAT</strong>), mid-latitude (50</span><span>°</span><span>S</span><span>–</span><span>20</span><span>°</span><span>S and 20</span><span>°</span><span>N</span><span>–</span><span>50</span><span>°</span><span>N, <strong>MLAT</strong>), and high-latitude (south of 50</span><span>°</span><span>S and north of 50</span><span>°</span><span>N, <strong>HLAT</strong>) regions.</span></p> <p><span> </span></p> <p><strong><span>FU_Cases.zip:</span></strong><span> This file contains two folders (<strong>Concentration and Radiation</strong>), which hold the simulation results for concentration and radiation in future cases. The Concentration folder includes 4 subfolders. The Radiation folder contains four subfolders representing different radiation simulation results. These include simulations with and without the direct radiative effects of SOA (labeled <strong>ADEwSOA</strong> and <strong>ADEwoSOA</strong> respectively) and simulations with and without the indirect radiative effects of SOA (labeled <strong>AIEwSOA</strong> and <strong>AIEwoSOA</strong> respectively). Each of these subfolders contains 4 additional subfolders, which share the same names as those in the Concentration folder. These 4 subfolders correspond to specific sensitivity experiments, the details of which are explained below. Within each subfolder, you will find the five-year averaged model output for all 12 months.</span></p> <p><strong><span>18L20E21C</span></strong><span> represents simulations with pre-industrial land use, and present-day emissions, and future climate conditions; </span></p> <p><strong><span>18L21E21C</span></strong><span> represents simulations with pre-industrial land use, future emissions, and future climate conditions;</span></p> <p><strong><span>20L20E21C</span></strong><span> represents simulations with present-day land use, and present-day emissions, and future climate conditions; </span></p> <p><strong><span>20L21E21C</span></strong><span> represents simulations with present-day land use, future emissions, and future climate conditions.</span></p>
A3D Model Organism Database (A3D-MODB): a database for proteome aggregation predictions in model organisms
<p>The unified and integrated metadata accompanied by referencing identifiers from the A3D database is available for download in CSV format.</p> <p>Aleksandra E Badaczewska-Dawid, Aleksander Kuriata, Carlos Pintado-Grima, Javier Garcia-Pardo, Michał Burdukiewicz, Valentín Iglesias, Sebastian Kmiecik, Salvador Ventura, A3D Model Organism Database (A3D-MODB): a database for proteome aggregation predictions in model organisms, <em>Nucleic Acids Research</em>, Volume 52, Issue D1, 5 January 2024, Pages D360–D367, <a href="https://doi.org/10.1093/nar/gkad942">https://doi.org/10.1093/nar/gkad942</a></p>
Characterization Data for the Manuscript: "Unraveling Metal Effects on CO2 Uptake in Pyrene-based Metal-Organic Frameworks through Integrated Lab and Computer Experiments"
<p>This entry contains characterization data for the manuscript "Unraveling Metal Effects on CO2 Uptake in Pyrene-based Metal-Organic Frameworks through Integrated Lab and Computer Experiments".</p>
Consumer biodiversity increases organic nutrient availability across aquatic and terrestrial ecosystems
<p>Human land-use intensification threatens arthropod (e.g., insect and spider) biodiversity across aquatic and terrestrial ecosystems. Insects and spiders play critical roles in ecosystems by accumulating and synthesizing organic nutrients like polyunsaturated fatty acids (PUFA). However, links between biodiversity and nutrient content of insect and spider communities have yet to be quantified. We relate insect and spider richness to biomass and PUFA-mass from stream and terrestrial communities encompassing nine land-uses. PUFA-mass and biomass relate positively to biodiversity cross ecosystems. In terrestrial systems, human-dominated areas have lower biomass and PUFA-mass than more natural areas, even at equivalent levels of richness. Aquatic ecosystems have consistently higher PUFA mass than terrestrial ecosystems. Our findings reinforce the importance of conserving biodiversity and highlight unique benefits of aquatic biodiversity.<br><br>This is all of the data and code required to reproduce the analyses. The repository doesn't allow specific folder structures, but the data should ideally be organized into folders organized and named as follows -</p> <p> 1_raw_data/<br>├─ bdm_data/<br>│ ├─ bdm_families_list.csv<br>├─ pufa_concentration_data/<br>│ ├─ Literature_estimates/<br>│ │ ├─ Literature_estimates.xlsx<br>│ ├─ Margaux_PUFA_Conc/<br>│ │ ├─ 2a.Lunz 2019_FA_InsectTransfer - Content.xlsx<br>│ │ ├─ 3a.Lunz 2019_FA_InsectConsu - Content.xlsx<br>│ ├─ Martin_Creuzberg_PUFA_Conc/<br>│ │ ├─ all_STOTEN.xlsx<br>│ ├─ Tarn_PUFA/<br>│ │ ├─ Mindelsee_FA.xlsx<br>├─ wsl_data/<br>2_modified_data/<br>├─ terr_insects_nutrients_null.rds<br>├─ aq_insect_nutrients_null.rds<br>├─ aquatic.data.rds<br>├─ terrestrial_data.rds<br>├─ insect_data/<br>│ ├─ aq_insect_regressions.rds<br>│ ├─ te_insect_regressions.rds<br>├─ null_models/<br>│ ├─ aquatic_habitat_all.rds<br>│ ├─ terrestrial_habitat_all.rds<br>3_r_scripts/<br>├─ Diversity_Analaysis.rmd<br>├─ Null_models.rmd<br>├─ Nutrient_content.rmd<br>├─ Scaling_relationships.rmd<br> </p> <p> </p>
Dataset of "Transient current responses of organic electrochemical transistors by vertical ionic diffusion and electrolyte resistance"
<p>This dataset supports the article </p> <p>"<span>Transient current responses of organic electrochemical transistors by vertical ionic diffusion and electrolyte resistance</span>"</p> <p> </p> <p>Raw data for the article "<span>Transient current responses of organic electrochemical transistors by vertical ionic diffusion and electrolyte resistance</span>". For further details see the readme.txt file.</p>
Effect of Organic Cation Size on Structural, Thermochromic, Dielectric and Photoluminescence Properties of Two-Dimensional Lead Iodide Perovskites with Extremally Reduced Dielectric Confinement
<p>Dataset for scientific publication entitled Effect of Organic Cation Size on Structural, Thermochromic, Dielectric and Photoluminescence Properties of Two-Dimensional Lead Iodide Perovskites with Extremally Reduced Dielectric Confinement. </p> <p>This research was supported by the National Science Center (Narodowe Centrum Nauki) in Poland under project No. 2020/38/A/ST3/00214. JKZ acknowledges support from Academia Iuvenum, Wroclaw University of Science and Technology.</p>
The role of nitrogen and iron biogeochemical cycles in the production and export of dissolved organic matter in agricultural headwater catchments
<p>Data on soil solutions collected in the riparian area at 15 cm depth in an agricultural catchment in Brittany (France) during one hydrological cycle. Zero-tension lysimeters were collected at a fortnightly frequency from October 2022 to June 2023. Measurements inlcude dissolved organic matter concentration and composition (3D flurorescence), nitrates, iron, and phosphorus.</p> <p>Data are published in Lambert et al., 2014, The role of nitrogen and iron biogeochemical cycles in the production and export of dissolved organic matter in agricultural headwater catchments, doi.org/10.5194/egusphere-2024-1212 (preprint).</p>
Fig. 19. Ibotyporanga spp., leg tarsal organs. A. I in Diamonds in the rough: Ibotyporanga (Araneae, Pholcidae) spiders in semi-arid Neotropical environments
Fig. 19. Ibotyporanga spp., leg tarsal organs. A. I. guanambi Huber sp. nov., male tarsus 1. B. I. sertao Huber sp. nov., female tarsus 1. C. I. ziruma Huber sp. nov., male tarsus 2. D. I. naideae Mello-Leitão, 1944, male tarsus 2. E. I. sertao, female tarsus 2. F. I. itatim Huber sp. nov., female tarsus 3. G. I. itatim, male tarsus 4. H. I. naideae, male tarsus 4. Scale lines: A, E–G = 10 µm; B–D, H = 2 µm.
Fig. 13. Ibotyporanga spp., male palpal tarsal organs. A. I in Diamonds in the rough: Ibotyporanga (Araneae, Pholcidae) spiders in semi-arid Neotropical environments
Fig. 13. Ibotyporanga spp., male palpal tarsal organs. A. I. ziruma Huber sp. nov. B. I. itatim Huber sp. nov. C. I. naideae Mello-Leitão, 1944. D. I. guanambi Huber sp. nov. E. I. payaya Huber sp. nov. F. I. sertao Huber sp. nov. Abbreviation: to = tarsal organ. Scale lines: 10 µm.
STXM-NEXAFS Analysis of Mineral-Organic Carbon Associations and OC Composition in North Atlantic Sediments
<p>Scanning transmission X-ray microscopy coupled with near edge X-ray absorption spectroscopy (STXM-NEXAFS) data collected on beamline 11.0.2 at the Advanced Light Source (ALS, Lawrence Berkeley National Laboratory) on sediment samples from the North Atlantic gyre collected during piston coring cruise KN223 on the R/V Knorr in 2014. Data include (a) sample geochemistry and lithology (metadata, "STXMNEXAFS_Sample_Geochem.xlsx"), (b) transmission microscopy images with overlaid element masks (organic and inorganic carbon, Al, Fe, Mn, K, and Ca, "mask images.zip") and marked regions ("region images.zip") that carbon NEXAFS spectra were extracted from, (c) NEXAFS spectra extracted from element masks and marked regions ("STXMNEXAFS_mask_reg_spectra_data.xlsx"), and (d) pixel intensity maps of mineral-forming elements used to make element correlation plots ("pixel correlation maps.zip"). The use of the Advanced Light Source is supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences under contract<br>no. DE-AC02-05CH11231. </p>
Linked collectors and determiners for: Records of macrozoobenthos organisms in the Ukrainian part of the Danube delta during 2007-2021.
Natural history specimen data linked to collectors and determiners held within, "Records of macrozoobenthos organisms in the Ukrainian part of the Danube delta during 2007-2021". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e">https://bionomia.net/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e">https://gbif.org/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Fungi and fungus-like organisms of the Krasnokutsk territorial commune (hromada), Kharkiv region, Ukraine.
Natural history specimen data linked to collectors and determiners held within, "Fungi and fungus-like organisms of the Krasnokutsk territorial commune (hromada), Kharkiv region, Ukraine". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4be164b2-8747-4b43-b7c0-2c0802496dd2">https://bionomia.net/dataset/4be164b2-8747-4b43-b7c0-2c0802496dd2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4be164b2-8747-4b43-b7c0-2c0802496dd2">https://gbif.org/dataset/4be164b2-8747-4b43-b7c0-2c0802496dd2</a>. Formatted as a Frictionless Data package.
ScienceDex guides
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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.