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11,198 results for “organs”
Linked collectors and determiners for: Findings of macrozoobenthos organisms in Chernobyl Exclusion Zone in summer 2021.
Natural history specimen data linked to collectors and determiners held within, "Findings of macrozoobenthos organisms in Chernobyl Exclusion Zone in summer 2021". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f4cc78fc-686c-426b-b119-a1967fbf16f2">https://bionomia.net/dataset/f4cc78fc-686c-426b-b119-a1967fbf16f2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f4cc78fc-686c-426b-b119-a1967fbf16f2">https://gbif.org/dataset/f4cc78fc-686c-426b-b119-a1967fbf16f2</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Fungi and fungi-like organisms - 4EU+ Summer School From Fungal Morphology to Genotype, Hajnowka 2021.
Natural history specimen data linked to collectors and determiners held within, "Fungi and fungi-like organisms - 4EU+ Summer School From Fungal Morphology to Genotype, Hajnowka 2021". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/2634d165-1be7-43c7-8c5f-ac605ba2d0ec">https://bionomia.net/dataset/2634d165-1be7-43c7-8c5f-ac605ba2d0ec</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/2634d165-1be7-43c7-8c5f-ac605ba2d0ec">https://gbif.org/dataset/2634d165-1be7-43c7-8c5f-ac605ba2d0ec</a>. Formatted as a Frictionless Data package.
Research data of "Distribution, characteristics, and importance of particulate and mineral-associated organic carbon in China forest"
<p>We used the Web of Science (https://www.webofscience.com), Google Scholar (https://scholar. google.com), and China National Knowledge Infrastructure (CNKI, http://www.cnki.net) to compile a list of all peer-reviewed articles that investigated the soil organic carbon components in forest ecosystem of China.</p> <p><span>Apart from the SOC and SOC components, forest types, forest age, sampling depth, climatic properties (MAT and MAP), vegetation (</span>microbial biomass carbon<span>, litter biomass, living fin root biomass, above-ground biomass carbon) and edaphic properties (</span>soil pH, total organic carbon, total nitrogen, total phosphorus, soil type<span>, dissolved organic carbon, bulk density and </span>Silt+Clay%<span>) in sites for each study were extracted from material and method section, tables or supporting information in each study.</span></p> <p>After multiple screening of articles, we totally collected 540 observational data from 59 independent studies, which covers major forest ecosystems of China.</p>
Dataset of "Using the transversal admittance to understand organic electrochemical transistors"
<p>This dataset supports the article: "Using the transversal admittance to understand organic electrochemical transistors"</p> <p>Raw data for the article "Using the transversal admittance to understand organic electrochemical transistors". For further details see the readme.txt file.</p>
CS#1H Monitoring Data of Subsurface Passage in Managed Aquifer Recharge: Microbial and Organic Composition Analysis
<div>This dataset contains flow cytometry and cultivation-based microbial data, along with measurements of natural organic matter (NOM) characterized by fluorescence, absorbance, and liquid chromatography-organic carbon detection (LC-OCD) from CS#1H. Data were collected over a one-year monitoring period at two sampling locations: the infiltration ditch and the abstraction well. </div>
Fate of organic solvent-soluble extractives and arabinogalactan during brown rot degradation of Siberian larch heartwood
<p>This dataset contains measurement data from the following publication: Belt, T.; Harju, A.; Venäläinen, M.; Kilpeläinen, P. (2024) Fate of organic solvent-soluble extractives and arabinogalactan during brown rot degradation of Siberian larch heartwood. European Journal of Wood and Wood Products. DOI: 10.1007/s00107-024-02146-3. The data consist of mass loss and extractive content data for samples derived from two different decay tests. The decay tests and measurement procedures are described in brief below; further details can be found in the publication.</p> <p>Decay test 1 was a stacked-sample test. Sample blocks were prepared from fresh Siberian larch heartwood and Scots pine sapwood. The decay test was conducted in test tubes over nutrient agar inoculated with <em>Coniophora puteana</em> or <em>Rhodonia placenta</em>. Each tube (N =5) received 7 heartwood or sapwood blocks stacked on top of each other (sample positions 1-7 from top to bottom). After decay, the mass losses of all larch heartwood and pine sapwood samples were measured. The decayed larch heartwood samples were individually ground to powder and extracted with methanol to obtain organic solvent-soluble extractives and with cold water to obtain arabinogalactan.</p> <p>Decay test 2 was a time-series test. Increment cores were obtained from 5 Siberian larch trees, with 8 cores obtained from each tree. Core pieces were cut from outer heartwood and split lengthwise to produce two halves: one half for the decay test and the other to act as an undecayed extractive content control. The decay test was conducted on petri dishes containing nutrient agar inoculated with <em>C. puteana</em> or <em>R. placenta</em>. One core half from each tree exposed to <em>C. puteana</em> and one exposed to <em>R. placenta</em> were removed from the decay test after 10, 20, 27 and 36 days of incubation. After decay, the mass losses of all decay test core halves were measured. The decay test and control core halves were individually ground to powder and extracted with methanol to obtain organic solvent-soluble extractives and with cold water to obtain arabinogalactan.</p> <p>Organic solvent-soluble extractives in the methanol extracts were analysed by GC-MS after trimethyl silylation of the extracts. A total of 13 extractive compounds were identified and quantified in the extracts: 5 fatty acids (palmitic, linolenic, linoleic, oleic, and stearic acid), 6 resin acids (isopimaric, pimaric, palustric, dehydroabietic, abietic, and neoabietic acid), and 2 flavonoids (dihydrokaempferol and taxifolin). Arabinogalactan in the cold water extract was analysed by GC-FID after acid methanolysis. Arabinogalactan was determined as the sum of arabinose and galactose obtained by methanolysis.</p> <p>The “Decay test 1.csv”-file gives the sample identifiers (ID, sample type, test fungus, tube number, sample position), and mass losses of the larch heartwood and pine sapwood samples, and the extractive contents of the larch heartwood samples. Extractive content data are given for all fatty acids, resin acids, and flavonoids quantified in the methanol extracts, and for arabinose and galactose quantified in the cold water extracts. Extractive contents are given on a decayed wood basis (mg/g decayed wood).</p> <p>The “Decay test 2.csv”-file gives the sample identifiers (ID, sample type, test fungus, tree number, core number, decay test time), mass losses, and extractive contents of the decayed and control larch heartwood core halves. Extractive content data are given for all fatty acids, resin acids, and flavonoids quantified in the methanol extracts, and for arabinose and galactose quantified in the cold water extracts. Extractive contents are given on a decayed wood basis (mg/g decayed wood).</p>
Datasets - Effect of Organic or Inorganic Fertilization on Microbial Flocs Production in Integrated Cultivation of Ulva lactuca with Oreochromis niloticus and Penaeus vannamei
<p>Dataset with experimental results </p>
Long-term biochar and soil organic carbon stability– Evidence from field experiments in Germany-ROW DATA
<p> Row data for researcher paper Long-term biochar and soil organic carbon stability– Evidence from field experiments in Germany</p>
Agriculture and food system scenarios with particular focus on organic and agro-ecological farming practices in the EU
<p>This is a comprehensive dataset of the agriculture and food system scenarios co-developed with stakeholders with the agricultural land use model BioBaM-GHG 2.0 and presented in Deliverable 4.2 of the H2020 project UNISECO. It includes sub-national (NUTS1/2-level) data on agricultural production and consumption, land use, greenhouse gas emissions from livestock and agricultural activities, etc. for the base year 2012 and the scenario years 2030 and 2050. The scenarios include a Business as usual case and four scenarios with focus on organic and agro-ecological farming practices in the EU, based on different storylines. Further information is available from the above-mentioned deliverable.</p> <p>A detailed model description is provided in the paper "Exploring the option space for land system futures at regional to global scales: The diagnostic agro-food, land use and greenhouse gas emission model BioBaM-GHG 2.0", in which these scenarios are also presented as an exemplary application of the model BioBaM-GHG 2.0.</p> <p>This work was funded by the ERA-NET SusAn project 101243 AnimalFuture, as well as by the European Union’s Horizon 2020 research and innovation programme and its funding of the H2020 UNISECO project under grant agreement N°773901.</p>
Data for the manuscript: "Self-organization of collective escape in pigeon flocks"
<p>This repository contains all data (empirical and simulated) used and generated for the paper "Self-organization of collective escape in pigeon flocks" (2022) <em>PLoS Comput Biol 18(1): e1009772. <a href="https://doi.org/10.1371/journal.pcbi.1009772">https://doi.org/10.1371/journal.pcbi.1009772</a></em>. More information can be found in the README file and the connected GitHub repository: https://github.com/marinapapa/SelfOrg-ColEsc-Pigeons/</p>
Code and data associated with Christiansen et al. 2021 "Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing"
<p>All code and data input and output files (except reference genome and raw sequencing data) needed to reproduce the results of Christiansen et al. 2021 as released on <a href="https://github.com/notothen/radpilot">https://github.com/notothen/radpilot</a> alongside journal publication. See published paper:</p> <p>Christiansen, H., Heindler, F.M., Hellemans, B. <em>et al.</em> Facilitating population genomics of non-model organisms through optimized experimental design for reduced representation sequencing. <em>BMC Genomics</em> <strong>22, </strong>625 (2021). <a href="https://doi.org/10.1186/s12864-021-07917-3">https://doi.org/10.1186/s12864-021-07917-3</a></p>
Binding constants of clinical drugs and other organic ligands with human and mammalian serum albumins
<p>The dataset contains literature values of the experimental equilibrium binding constants of drugs and some other organic ligands with human and mammalian (predominantly bovine) serum albumins. There are 1755 records gathered from 346 original literature sources describing the albumin affinity of 324 different substances. The data were extracted from both articles and existing protein binding databases applying strict data selection rules in order to exclude the values influenced by the third-party compounds. For each experiment with a particular ligand–albumin system found in literature we provide (if possible) the following details: albumin source organism, ligand chemical name, canonical SMILES, InChIKey, the binding (either association <em>K<sub>a</sub></em> or dissociation <em>K<sub>d</sub></em>) constant value in molarity-based scale, temperature in K, albumin and ligand concentrations, buffer pH, composition, and concentration, experimental method, model used for the binding constant calculation, DOI or link to the source paper. For the results obtained using independent binding sites model, the average number of binding sites <em>n</em> is also provided. If two different types of binding sites were suggested, we put the second site-specific binding constant <em>K<sub>a2</sub></em> or <em>K<sub>d2</sub></em> and the number of the second-type sites<em> </em> <em>n</em><sub>2</sub> into separate columns. For some systems, the enthalpies of binding have also been determined either from the temperature dependence of the binding constant or using direct calorimetric measurements. Their values are also given in the respective column. The dataset can be used as the reference one, for the development of predictive models to calculate the binding constants, and for the choice of the experimental setup in the future albumin binding studies.</p>
(DATASET) (10,0) carbon nanotubes functionalized with carboxyl and hydroxyl organic groups
<p>Starting from a (10,0) carbon nanotube, 10 000 structures where randomly generated for both functionalizations (carboxyl, -COOH, and hydroxyl, -OH) and for 5 concentrations of the surface being funcionalized (5%, 10%, 15%, 20% and 25%). Then, the entropy of all system was calculated. The structures with highest entropy on each group/percentage where selected as representative of each functionalization.</p> <p>Here are the structures of functionalized (10,0) carbon nanotubes in MOL2 and XYZ formats.</p> <p>These systems were used in the following publications:</p> <ul> <li>M.S. Ribeiro, A.L. Pascoini, W.G. Knupp, I. Camps. <em>Effects of surface functionalization on the electronic and structural properties of carbon nanotubes: A computational approach</em>. Applied Surface Science 426 (2017) 781–787. DOI: <a href="http://dx.doi.org/10.1016/j.apsusc.2017.07.162">10.1016/j.apsusc.2017.07.162</a></li> <li>W.G. Knupp, M.S. Ribeiro, M. Mir, I. Camps. <em>Dynamics of hydroxyapatite and carbon nanotubes interaction</em>. Applied Surface Science 495 (2019) 143493. DOI: <a href="https://doi.org/10.1016/j.apsusc.2019.07.235">10.1016/j.apsusc.2019.07.235</a></li> </ul>
Figures 247–252. Alimentary canal and reproductive organs. 247 in Morphologic studies of the alimentary canal and internal reproductive organs of the Chaetosomatidae and the Cleridae (Coleoptera: Cleroidea) with comparative morphology and taxonomic analyses
Figures 247–252. Alimentary canal and reproductive organs. 247) ventriculus. 248) pyloric valve. 249) colon. 250) rectum. 251–252. Reproductive organs. 251) female. 252) male.
Figures 242–246. Alimentary canal, Enoclerus quadrisignatus. 242 in Morphologic studies of the alimentary canal and internal reproductive organs of the Chaetosomatidae and the Cleridae (Coleoptera: Cleroidea) with comparative morphology and taxonomic analyses
Figures 242–246. Alimentary canal, Enoclerus quadrisignatus. 242) alimentary canal. 243) pharynx. 244) esophagus. 245) proventriculus. 246) stomodaeal valve.
Figures 231–241. Reproductive organs. 231–234. Pelonium spp. a-c. 231 in Morphologic studies of the alimentary canal and internal reproductive organs of the Chaetosomatidae and the Cleridae (Coleoptera: Cleroidea) with comparative morphology and taxonomic analyses
Figures 231–241. Reproductive organs. 231–234. Pelonium spp. a-c. 231) sp. a, male. 232) sp. a, female. 233) sp. b, male. 234) sp. c, male. 235. Tarsostenodes leucogramma, male. 236–237. Females. 236) Blackburniella hilaris. 237) Parapylus sedlaceki. 238–239. Tarsostenus carus. 238) female. 239) male. 240) Tarsotenodes guttulus, female. 241) Dolichopsis haplocnemodes, female.
Figures 223–230. Reproductive organs. 223. Pelonium posticum, male. 224–225. Pelonium quadriplagiatum. 224 in Morphologic studies of the alimentary canal and internal reproductive organs of the Chaetosomatidae and the Cleridae (Coleoptera: Cleroidea) with comparative morphology and taxonomic analyses
Figures 223–230. Reproductive organs. 223. Pelonium posticum, male. 224–225. Pelonium quadriplagiatum. 224) male. 225) female. 226–227. Pelonium semirufum. 226) male. 227) female. 228–230. Pelonium viridipenne. 228) female. 229) male. 230) male.
Figures 216–222 in Morphologic studies of the alimentary canal and internal reproductive organs of the Chaetosomatidae and the Cleridae (Coleoptera: Cleroidea) with comparative morphology and taxonomic analyses
Figures 216–222. Reproductive organs, ventral nerve cord, and brain. 216) Pelonium leucophaeum, reproductive organs, female. 217) Pelonium lituratum, reproductive organs, female. 218) Pelonium nigroclavatum, reproductive organs, female. 219) Pelonium lituratum, ventral nerve cord and brain. 220–221. Pelonium peninsulare. 220) reproductive organs, male. 221) reproductive organs, female. 222) Pelonium placidum, reproductive organs, female.
Figures 195–200. Reproductive organs. 195. Tillus notatus, female. 196–197. Males. 196 in Morphologic studies of the alimentary canal and internal reproductive organs of the Chaetosomatidae and the Cleridae (Coleoptera: Cleroidea) with comparative morphology and taxonomic analyses
Figures 195–200. Reproductive organs. 195. Tillus notatus, female. 196–197. Males. 196) Tillus sp. a. 197) Tillus sp. b. 198–200. Tilloidea unifasciata. 198) male. 199) female. 200) bursal plate.
Figures 201–207. Reproductive organs. 201–202. Iontoclerus sericeus. 201 in Morphologic studies of the alimentary canal and internal reproductive organs of the Chaetosomatidae and the Cleridae (Coleoptera: Cleroidea) with comparative morphology and taxonomic analyses
Figures 201–207. Reproductive organs. 201–202. Iontoclerus sericeus. 201) male. 202) female. 203–204. Chariessa dichroa. 203) female. 204) male. 205–206. Chariessa pilosa. 205) male. 206) female. 207) Chariessa vestita, male.
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.