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14,867 results for “Determinants”
Determination of traits responding to iron toxicity stress at different stages and genome-wide association analysis for iron toxicity tolerance in rice (Oryza sativa L.)
<p>This vcf file constitute underlying raw data material for the manuscript "Determination of traits responding to iron toxicity stress at different stages and genome-wide association analysis for iron toxicity tolerance in rice (Oryza sativa L.)". <br> The SNP genotype data came from a whole-genome resequencing and were called using the Nipponbare IRGSP 1.0 rice reference genome. SNPs with a miss rate greater than 30% and minor allele frequency (MAF) less than 5% were removed. Heterozygous alleles were also excluded. Finally, 160,498 SNPs were selected and used in the GWAS analysis. </p>
Travel time by rail as a determinant of the system of cross-border linkages of Polish metropolises – dynamic approach 1970–2020
<p>The dataset is an outcome of the research project "<strong>Travel time by rail as a determinant of the system of cross-border linkages of Polish metropolises – dynamic approach 1970–2020</strong>" supported by the National Science Centre (Poland) under the "Miniatura 4" funding scheme (project no. 2020/04/X/HS4/00525).<br> <br> The exploratory aim of the project is to assess a dynamics of the system of cross-border linkages of Polish metropolises over the past five decades, by investigating the duration of international rail connections. Covering such a long period was possible thanks to utilising the archival train timetables, copies of which can be found, among others, in the holdings of the Polish National Library in Warsaw. Furthermore, the methodological aim of the project intends to test a universal measure of functional linkages – the relative travel deceleration index. The linkages between two sets of cities were studied: eleven Polish cities, considered in the literature as existing or potential metropolises (Warszawa, Katowice, Kraków, Gdańsk, Łódź, Poznań, Wrocław, Szczecin, Bydgoszcz, Lublin, Białystok), and twelve foreign cities – capitals of neighbouring countries (Berlin, Praha, Bratislava, Kyiv, Minsk, Vilnius) and the cities with more than 400,000 inhabitants, located within a buffer of 250 km from the Polish border (Leipzig, Dresden, Wien, Budapest, Lviv, Kaliningrad). Eleven time sections are taken into account, from 1970 to 2021.<br> <br> Spatial analyses using GIS software were the starting point. The characteristics of the ideal linkage arrangement were identified. The actual situation occurring in selected years, as described in the timetables, was then compared with it. The proposed deceleration index, measured in %, makes it possible to assess a degree of variation of the shortest travel time observed between a given pair of cities in relation to the time that would occur in a situation with a straight railway line, constant speed, no stops and barriers such as national borders. The factors contributing to this deceleration (the so-called components of deceleration) were also analysed: a layout of rail network, a course of train route, a condition of infrastructure, an organisation of services (waiting time for a change of train) and operations associated with crossing of border affecting its permeability (in the case of Polish eastern border additional time-consuming gauge change of carriages).<br> <br> The dataset consists of:</p> <ol> <li><strong>Methodological framework for the research </strong>explaining the way in which the components of travel deceleration are defined [.pdf file; name: 1_schemat_metodyki_badan; description in Polish].</li> <li><strong>Geospatial vector data in shapefile format</strong> [.zip file; name: 2_dane_GIS_shapefile] featuring: <ul> <li>buffer of 250 km around the state borders of Poland [name: bufor_250km; type: polygon];</li> <li>spatial distribution of the sets of 11 cities in Poland [name: miasta_polskie; type: point] and 12 cities abroad [name: miasta_zagranica; type: point];</li> <li>ideal arrangement of the 132 studied cross-border linkages – the shortest paths connecting pairs of the cities and representing a physical distance measured along the orthodrome [name: powiazania_miast_stan_idealny; type: line];</li> <li>optimal arrangement of the 132 studied cross-border linkages – the shortest paths connecting pairs of the cities and representing a distance measured along the railway network in two variants, before and after the opening of the CMK and LHS lines in Poland [names: najkrotsze_trasy_1970-1975_komponent_1.shp and najkrotsze_trasy_1980-2020_komponent_1.shp; type: polyline]; </li> </ul> </li> <li><strong>Records of the train timetable analyses</strong> including the relative travel deceleration index and the structure of the components of deceleration [.xlsx file; name: 3_struktura_komponentow_spowolnienia; description in Polish];</li> <li><strong>Supplementary table 1 </strong>– cross-border distances (in km) according to the train timetable [.xlsx file; name: 4_tebala_pomocnicza_odleglosci_transgraniczne; description in Polish];</li> <li><strong>Supplementary table 2 </strong>– domestic distances (in km) according to the train timetable [.xlsx file; name: 5_tebala_pomocnicza_odleglosci_w_polsce; description in Polish];</li> <li><strong>Supplementary table 3 </strong>– estimation of time losses in the total travel time associated with accelerating and braking of train for the theoretical variant without intermediate stops (simplified calculation based on kinematics principles) [.xlsx file; name: 6_tebala_pomocnicza_straty_czasu_rozruch_hamowanie; description in Polish].</li> </ol>
Figure 5 in Oldest determined record of a mesostigmatic mite (Acari: Mesostigmata: Sejidae) in Cretaceous Burmese amber
Figure 5 Distal portion of tarsus I; A, B – specimen E, manual focus-stacking, together with respective interpretative drawing; C, D – specimen F, manual focus stacking, together with respective interpretative drawing to show apicotarsus (distal subdivision of the tarsus). Abbreviations: amb, ambulacrum; apo, apotele (pretarsus); at, apicotarsus (acrotarsus).
Figure 3 in Oldest determined record of a mesostigmatic mite (Acari: Mesostigmata: Sejidae) in Cretaceous Burmese amber
Figure 3 Gnathosoma of the fossil mite; A, B – subcapitulum of specimen E, manual focus-stacking, together with respective interpretative drawing; C, D – subcapitulum of specimen F, manual focus stacking, together with respective interpretative drawing. Abbreviations:ch, chelicera;cor, corniculus; im, internal mala; lab, labrum; pc, palpcoxal seta; ts, tritosternum; ss?, salivary stylet.
Figure 2 in Oldest determined record of a mesostigmatic mite (Acari: Mesostigmata: Sejidae) in Cretaceous Burmese amber
Figure 2 Details of the fossil mite, selected images of specimens PIN 5620-26 F & E; A – general view of idiosoma (specimen F), selectively combined from several image stacks (the images were taken from the dorsal side through the whole mite, and some ventral structures
Data for "High-accuracy determination of Paul-trap stability parameters for electric-quadrupole-shift prediction", J. Appl. Phys. 132, 124401 (2022)
<p>Data required to reproduce the key results in: "High-accuracy determination of Paul-trap stability parameters for electric-quadrupole-shift prediction", J. Appl. Phys. <strong>132</strong>, 124401 (2022). <a href="https://doi.org/10.1063/5.0106633">https://doi.org/10.1063/5.0106633</a></p> <ul> <li>The file "sec_freq.dat" contains measured secular frequencies, the rf frequency, the applied bias voltages, and the MJD of the measurement: <ul> <li>Figures 4-5 use rows 31-33 of this data.</li> <li>Figure 6 uses all data corresponding to -1.1e-3 < <em>a</em><sub>x</sub> < -0.6e-3.</li> <li>Figure 7(a) uses all the data.</li> </ul> </li> <li>The file "data2021-12-21_MJD.txt" contains the secular frequency data used to derive Eq. (16) and plot Figure 8.</li> <li>The file "RF_monitor_rectifier_1d.txt" contains the rectified monitor voltage used in Figure 8.</li> <li>The file "Temperature_108_1d.txt" contains the helical-resonator temperature used in Figure 8.</li> <li>The file "Fig9_EQS.dat" contains the measured electric quadrupole shift (EQS) used for Figure 9.</li> <li>The file "interleavedEQS.dat" contains the data from the interleaved EQS measurement used to determine a lower value of 1070 for the cancellation factor.</li> </ul>
Database of Panama Region to determine intrinsic and scattering attenuation
<p><strong>Database of Panama Region to determine intrinsic and scattering attenuation.</strong></p> <p>Sagel Aguilar, Daphne (2); Prudencio, Janire (1,2); Del Pezzo, Edoardo (3); Ibáñez, Jesús (1,2), Ligdamis Gutierrez (1,2)</p> <p>Database of Panama Region to determine intrinsic and scattering attenuation</p> <p>by Sagel Aguilar, Daphne (2); Prudencio, Janire (1,2); Del Pezzo, Edoardo (3); Ibáñez, Jesús (1,2) and Ligdamis Gutierrez (1,2)</p> <p><strong>Institutions associated:</strong></p> <p>(1) Department of Theoretical Physics and Cosmos. Science Faculty. Avd. Fuentenueva s/n. University of Granada. 18071. Granada. Spain.</p> <p>(2) Andalusian Institute of Geophysiscs. Campus de Cartuja. University of Granada. C/Profesor Clavera 12. 18071. Granada. Spain.</p> <p>(3) INGV Observatory vesiviano. Via Diocleziano, 328. 80124 Napoli, Italy.</p> <p><strong>Acknowledgment:</strong></p> <p>This study was partially supported by the National Secretariat of Science, Technology, and Innovation-SENACYT and the Institute for the Training and Use of Human Resources-IFARHU, through the Program: Research Doctorate BBIDP-II-2019-03, for granting me the scholarship to be able to carry out the Doctorate in Earth Sciences at the University of Granada, Spain.</p> <p>To the Institute of Geoscience of Panama UGC and University of Panama UP, for providing us with the seismic data to carry out this research.</p> <p>Analysis of Spectral Characteristics System of Seismic Records, Versión 1.0. Ligdamis Gutierrez (1,2). (2022). Analysis of Spectral Characteristics System of Seismic Records (1.0). Zenodo. <a href="https://doi.org/10.5281/zenodo.7008075">https://doi.org/10.5281/zenodo.7008075</a> Department of Theoretical Physics and the Cosmos, Science Faculty. Instituto Andaluz de Geofísica y Prevención de Desastres Sísmicos. Granada University (Ugr), Granada, Spain</p> <p><br> <strong>Data availability statement:</strong></p> <p>The database was provided by the <em>Institute of Geosciences of Panama</em> in “<strong>. MSEED</strong>” format, processed in “<strong>. SAC</strong>” format and executed in MATLAB to work with a “<strong>.txt</strong>” extension. Analyzed in MATHEMATICA software.</p>
Figure 4: Determination of hydration of the skin before applying the product-STUDIES TOWARDS OBTAINING A PHOTOPROTECTIVE DERMO-COSMETIC COMPLEX PRODUCT WITH NATURAL EXTRACTS OF INORGANIC AND ORGANIC SUBSTANCES
<p>The volunteers who applied the product on the<br> skin appreciated the sensory characteristics such as: easiness of use, pleasant<br> texture, easy absorption without oily traces, appearance, odor and pleasant<br> color (¯gures 4, 5).</p>
Linked collectors and determiners for: Two new genera of Australian dung beetles (Coleoptera: Scarabaeidae: Scarabaeinae) with the description of six new species and transfer of six described species.
Natural history specimen data linked to collectors and determiners held within, "Two new genera of Australian dung beetles (Coleoptera: Scarabaeidae: Scarabaeinae) with the description of six new species and transfer of six described species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/43ebda6c-201a-46af-8b54-e7980b8d79e1">https://bionomia.net/dataset/43ebda6c-201a-46af-8b54-e7980b8d79e1</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/43ebda6c-201a-46af-8b54-e7980b8d79e1">https://gbif.org/dataset/43ebda6c-201a-46af-8b54-e7980b8d79e1</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: University of Puerto Rico Mayagüez Invertebrate Collection.
Natural history specimen data linked to collectors and determiners held within, "University of Puerto Rico Mayagüez Invertebrate Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/43e54c60-d6e0-41df-80a3-ca9487a3342a">https://bionomia.net/dataset/43e54c60-d6e0-41df-80a3-ca9487a3342a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/43e54c60-d6e0-41df-80a3-ca9487a3342a">https://gbif.org/dataset/43e54c60-d6e0-41df-80a3-ca9487a3342a</a>. Formatted as a Frictionless Data package.
Data from: Local environment and coral composition affect recovery and determine long-term coral responses to recurrent mass mortalities in the Lakshadweep Archipelago
<p>A quarter century after the first global coral bleaching event in 1998, reports differ on the relative importance of anthropogenic influences, local environment and bleaching recurrence in determining the resilience of coral reefs. While life history traits largely determine how corals respond to temperature anomalies, it is unclear if these traits also determine how corals fare over time. From 1998 to 2022, we tracked compositional changes in reefs across the Lakshadweep Archipelago to explore how global El Niño events, and local environment (wave climate and depth) influenced coral responses to repeated mass bleaching. From the 1998 to the 2016 bleaching event, the magnitude of coral mortality reduced overall, particularly at deeper reefs (shallow: -38% to -3%; deep: -18% to -0.45%). Post-bleaching recovery correlated positively with higher wave exposure, linked to the creation of stable structures for coral settlement and survival. Across bleaching phases, recovery was initially slow (6-7 years post-mortality), but, given time, showed a much steeper increase, led by space-occupying genera like <em>Acropora</em>. However, recurring mass bleaching maintained coral cover low (~15% across all sites). These broad trends mask dynamic compositional patterns. Genera such as <em>Porites</em>, <em>Pocillopora</em>, and <em>Favia</em> declined less through time compared to <em>Acanthastrea</em>, <em>Turbinaria</em>, <em>Psammocora</em> and <em>Plesiastrea </em>among others. We identified six community clusters that describe contrasting long-term responses to local and global factors, mediated by depth and wave exposure. Interestingly, genera with different functional traits cluster together indicating that bleaching susceptibility interacts with depth and exposure, creating a spatial mosaic of coral assemblages. These clusters serve as a predictive, site-specific framework to understand the dynamically shifting but declining assemblage of Lakshadweep reefs. While local management could help maintain this changing composition, urgent global action is needed to secure the long-term ecological integrity of tropical reefs.</p>
Data from: Determining critical periods for thermal acclimatisation using a Distributed Lag Non-linear Modelling approach
<p>Rapid changes in thermal environments are threatening many species worldwide. Thermal acclimatisation processes may partially buffer species from the impacts of these changes, but currently the knowledge about the temporal dynamics of acclimatisation remains limited. Acclimatisation phenotypes are typically determined in laboratory conditions that lack the variability and stochasticity that characterize the natural environment. Through a Distributed Lag Non-linear Model (DLNM), we use field data to assess how the timing and magnitude of past thermal exposures influence thermal tolerance. We apply the model to two Scottish freshwater Ephemeroptera species living in natural thermal conditions. Model results provide evidence that rapid heat hardening effects are dramatic and reflect high rates of change in temperatures experienced over recent hours to days. In contrast, temperature change magnitude impacted acclimatisation over the course of weeks but had no impact on short term responses. Our results also indicate that individuals may de-acclimatise their heat tolerance in response to cooler environments. Based on the novel insights provided by this powerful modelling approach, we recommend its wider uptake among thermal physiologists to facilitate more nuanced insights in natural contexts, with the additional benefit of providing evidence needed to improve the design of laboratory experiments. </p>
Data from: Residues neighboring an SH3-binding motif participate in determining affinity and specificity in vivo
<p>In signaling networks, many protein-protein interactions are mediated by modular domains that bind short linear motifs. The motifs' sequences modulate many factors, among them affinity and specificity, or the ability to bind strongly and to bind the appropriate partners. Previous studies have proposed a trade-off between affinity and specificity, suggesting that motifs with high affinity are less capable of differentiating between domains with similar sequences and structures. Using Deep Mutational Scanning to create a mutant library of a well characterized binding motif, and protein complementation assays to measure protein-protein interactions, we tested this trade-off in vivo for the first time. We measured the binding strength and specificity of a library of mutants of a binding motif on the MAP kinase kinase Pbs2, which binds the SH3 domain of the osmosensor protein Sho1 in Saccharomyces cerevisiae. We find that many mutations in the region surrounding the binding motif modify binding strength, but that few mutations have a strong impact on specificity. Moreover, we find no systematic relationship between affinity and specificity as measured in vivo. Interestingly, all Pbs2 mutations which increase affinity or specificity are situated outside of the Pbs2 residues that interact with the canonical SH3-binding pocket, suggesting that other surfaces on Sho1 contribute to binding. We use predicted structures to propose a model of binding which involves residues neighboring the core Pbs2 motif binding outside of the canonical SH3-binding pocket, allowing affinity and specificity to be determined by a broader range of sequences than what has previously been considered.</p>
A method to determine local aerodynamic force coefficients from fiber-resolved 3D flow simulations around a staple fiber yarn: simulation data
<p>This data set contains all set-up files and necessary scripts to run the simulations performed in the publication <a href="https://doi.org/10.1007/s11044-024-09992-2" target="_blank" rel="noopener">"A method to determine local aerodynamic force coefficients from fiber-resolved 3D flow simulations around a staple fiber yarn"</a>, published in Multibody System Dynamics.</p>
Linked collectors and determiners for: Royal Ontario Museum: Entomology.
Natural history specimen data linked to collectors and determiners held within, "Royal Ontario Museum: Entomology". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/8464c76c-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/8464c76c-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8464c76c-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/8464c76c-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Asia-Pacific Dataset.
Natural history specimen data linked to collectors and determiners held within, "Asia-Pacific Dataset". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/25f99a40-2327-4c57-9631-1a0825d834fa">https://bionomia.net/dataset/25f99a40-2327-4c57-9631-1a0825d834fa</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/25f99a40-2327-4c57-9631-1a0825d834fa">https://gbif.org/dataset/25f99a40-2327-4c57-9631-1a0825d834fa</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Freshwater benthic invertebrates ecological collection NTNU University Museum.
Natural history specimen data linked to collectors and determiners held within, "Freshwater benthic invertebrates ecological collection NTNU University Museum". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/33591b80-0e31-480c-82ce-2f57211b10e6">https://bionomia.net/dataset/33591b80-0e31-480c-82ce-2f57211b10e6</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/33591b80-0e31-480c-82ce-2f57211b10e6">https://gbif.org/dataset/33591b80-0e31-480c-82ce-2f57211b10e6</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Marine Biological Sample Database, JAMSTEC.
Natural history specimen data linked to collectors and determiners held within, "Marine Biological Sample Database, JAMSTEC". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/3c1a56f8-b63a-492f-bb77-babb497204fb">https://bionomia.net/dataset/3c1a56f8-b63a-492f-bb77-babb497204fb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3c1a56f8-b63a-492f-bb77-babb497204fb">https://gbif.org/dataset/3c1a56f8-b63a-492f-bb77-babb497204fb</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Données des collections du MNHN-Données des collections de plantes vasculaires du MNHN.
Natural history specimen data linked to collectors and determiners held within, "Données des collections du MNHN-Données des collections de plantes vasculaires du MNHN". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/d51ca35e-8241-4b5c-a82a-aa835612da92">https://bionomia.net/dataset/d51ca35e-8241-4b5c-a82a-aa835612da92</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d51ca35e-8241-4b5c-a82a-aa835612da92">https://gbif.org/dataset/d51ca35e-8241-4b5c-a82a-aa835612da92</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Tanzanian Vertebrate Collection.
Natural history specimen data linked to collectors and determiners held within, "Tanzanian Vertebrate Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/86523cda-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/86523cda-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/86523cda-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/86523cda-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
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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.