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2,254 results for “Wood”
Investigating the correlation of control parameters in reversed wood biomass supply chains (NCN) DEC-2020/39/I/HS4/03533
<p>Results of calculations of mutual correlations between parameters of reversed wood biomass supply chains, referring to the statistical yearbooks of the State Forests (in Poland). Identification of predictions of increasing values of individual parameters of reversed wood biomass supply chains.<br>The study was financed by National Science Centre in Poland under agreement DEC-2020/39/I/HS4/03533</p>
Survey: Qualitative FGI research on the processing, sourcing, utilisation and management of wood biomass (NCN) DEC-2020/39/I/HS4/03533
<p>The dataset contains the proceedings of a qualitative FGI of representatives of wood biomass processing and harvesting companies. The research was conducted from 5 July 2022 to 7 July 2022 using only the FGI method. The survey was conducted in face-to-face meetings among respondents.<br>The study was funded by National Science Centre in Poland under agreement National Center of Science (NCN) through grant DEC-2020/39/I/HS4/03533</p>
Data from: Evolutionary potential and constraints in an aposematic species: Genetic correlations between warning coloration and fitness components in wood tiger moths
<p>Phenotypic data and pedigrees of two laboratory populations of wood tiger moths (<em>Arctia plantaginis</em>) of Finnish (=FIN) and Estonian (=EST) ancestry.</p> <p><strong>Pedigree: </strong><br>ID: individual identifier<br>sire = Father<br>dam=mother</p> <p><strong>Pheno.data: </strong><br>ID: individual identifier<br>Sex: 1=male; 2=female<br>hatchingdate: date when larva hatched<br>pupadate: date of pupation<br>adultdate: date of exclusion<br>Pupa.Weight: weight of pupa [mg]<br>Female.Colour = hindwing colour of females. In this species hindwing colour in females varies continuously from yellow to red. It was quantified by visual matching of hinwdings against a colour scale ranging from 1 = yellow to 6 = red. <br>Signal.Size = larva signal size. Larvae show an orange patch of variable size on the back of their black body. The size is given as number of segments<br>Egg.N = egg number produced by the individual<br>Off.N = offspring number. Larvae were counted 2-3 weeks after egg laying</p> <p> </p>
Raw and analyzed data to manuscript "Influence of air plasma pretreatments on mechanical properties in metal-reinforced laminated wood"
<p><strong>Abstract</strong><br> The use of wood-based materials in building and construction is constantly increasing as environmental aspects and sustainability gain importance. For structural applications, however, there are many examples where hybrid material systems are needed to fulfil the specific mechanical requirements of the individual application. In particular, metal reinforcements are a common solution to enhance the mechanical properties of a wooden structural element. Metal-reinforced wood components further help to reduce cross-sectional sizes of load-bearing structures, improve the attachment of masonry or other materials, enhance the seismic safety and tremor dissipation capacity, as well as the durability of the structural elements in highly humid environments and under high permanent mechanical load. A critical factor to achieve these benefits, however, is the mechanical joint between the different material classes, namely the wood and metal parts. Currently, this joint is formed using epoxy or polyurethane (PU) adhesives, the former yielding highest mechanical strengths, whereas the latter presents a compromise between mechanical and economical constraints. Regarding sustainability and economic viability, the utilization of different adhesive systems would be preferable, whereas mechanical stabilities yielded for metal-wood joints do not permit for the use of other common adhesive systems in such structural applications.<br> This study extends previous research on the use of non-thermal air plasma pretreatments for the formation of wood-metal joints. The plasma treatments of Norway spruce (Picea abies (L.) Karst.) wood and anodized (E6/EV1) aluminum AlMgSi0.5 (6060) F22 were optimized, using water contact angle measurements to determine the effect and homogeneity of plasma treatments. The adhesive bond strengths of plasma-pretreated and untreated specimens were tested with commercial 2-component epoxy, PU, melamine-urea formaldehyde (MUF), polyvinyl acetate (PVAc), and construction adhesive glue systems. The influence of plasma treatments on the mechanical performance of the compounds was evaluated for one selected glue system via bending strength tests. The impact of the hybrid interface between metal and wood was isolated for the tests by using five-layer laminates from three wood lamellae enclosing two aluminum plates, thereby excluding the influence of congeneric wood-wood bonds. The effect of the plasma treatments is discussed based on the chemical and physical modifications of the substrates and the respective interaction mechanisms with the glue systems. </p>
Perception and evaluation of (modified) wood by older adults from Slovenia and Norway (Datasets, R analysis code, and supplementary tables)
<p>This entry contains datasets, R analysis code, and supplementary tables for the article <em>Perception and evaluation of (modified) wood by older adults from Slovenia and Norway.</em></p> <p>The article investigates human perception and evaluation of handrails made of different materials. Our goal was to identify how older adults perceive handrails made of unmodified wood, modified wood, and steel. We examined if certain materials are more preferred than others, which material properties might be associated with differences in human preference, and what are the roles of tactile and tactile-visual domains in material perception. Our analysis is based on the results from an 11-item rating scale and a ranking task.</p>
Raw and analyzed data for manuscript "The synergistic effect of microwave drying and plasma surface treatments on the wettability of green wood"
<p><strong>Abstract:</strong></p> <p>In spite of being a one-step solution to several problems associated with woodworking and being energy efficient, the application of microwave (MW) modification in wood research remained very limited and the promising method has practically no use in wood industries across the globe. Research done so far in this field primarily sheds light on its potential in enhancing wood permeability, treatability and uniform wood drying. While MW treatments are mostly used on wet or green wood, another modification technique, plasma, has potential benefits to synergistically enhance effects of MW treatment, but has not been applied on wet or green wood specimens, so far. This study takes a first step to investigate effects of plasma treatments (PT) on green wood specimens as well as combinations of MW and plasma treatments. As a preliminary study, the methodology focuses on water contact angle measurements, since these are most commonly used as indicators for surface modifications in industrial applications. On the investigated samples of Norway spruce (<em>Picea abies</em> Karst.), an exponential time dependence was found for the contact angle. Initial contact angle after droplet deposition increased due to drying and migration of organic molecules during treatments. In comparison to the literature, the effect of plasma was significantly less pronounced on wet wood specimens. The initial contact angle showed lowest statistical variations after MW treatment, whereas plasma increased inhomogeneities. The final contact angle on treated specimens was lowest for PT-only specimens as well as specimens treated with plasma after MW. In contrast to the initial contact angle, the final contact angle showed lowest variations after PT. Wetting rates were insignificantly improved by plasma, with reduced statistical variations after all treatments.</p>
CaptuRING and scanned wood core samples
<p>Wood samples in digitized cores with CaptuRING (CR_ in files) and scanned with Epson 750VPRO (scan_) for sample digitization comparison.</p> <p>Species:</p> <ol> <li><em>Fagus sylvatica </em>(FS)</li> <li><em>Quercus faginea </em>(QF)</li> <li><em>Quercus ilex </em>(QI)</li> <li><em>Quercus pyrenaica </em>(QY)</li> <li><em>Juniperus cedrus </em>(JC)</li> <li><em>Juniperus thurifera </em>(JT)</li> <li><em>Pinus nigra </em>(PN)</li> <li><em>Pinus pinaster </em>(PP) </li> </ol> <p>Graphical scale was fitted with empirical values for CR samples, and theoretical resolution value in scanning software for scanned ones.</p> <p>SupplementaryMaterials2.csv file includes summary table from image comparison data.</p>
Data from: Reproductive success of the wood warbler Phylloscopus sibilatrix varies across Europe
<p><strong>Abstract</strong></p> <p>Differences in population trends across a species’ breeding range are ultimately linked to variation in demographic rates. In small songbirds, demographic rates related to fecundity typically have strong effects on population trends. Populations of a forest songbird, the wood warbler <em>Phylloscopus sibilatrix</em>, have been declining in many but not all regions of the European breeding range. We investigated if clutch size, hatching rate, nest survival, and number of fledglings vary across Europe, and if nest survival is related to differences in the regionally dominant nest predator class (birds vs. mammals). From 2009 to 2020, we monitored 1896 nests and used cameras at a subsample of 645 nests in six study regions: the United Kingdom (mid-Wales, Dartmoor, New Forest), Germany (Hessen), Switzerland (Jura mountains), and Poland (Białowieża National Park). Number of fledglings was lowest in New Forest (1.43±CI 0.23), intermediate in Jura (2.41±0.31) and Białowieża (2.26±0.24), and highest in mid-Wales (3.02±0.48) and Dartmoor (2.92±0.32). The reason for low reproductive success in New Forest, Jura, and Białowieża was low nest survival, and large clutch sizes in Białowieża did not compensate for high nest losses. High reproductive success in mid-Wales and Dartmoor was due to high nest survival and large clutch sizes. Overall predation rates were similar everywhere despite variation between the regions in the dominant nest predator class. Unsuccessful nests in mid-Wales were mainly predated by birds, in Dartmoor, New Forest, Hessen, and Jura similarly by birds and mammals, and in Białowieża exclusively by mammals. Regional reproductive success does not match the population trends recently reported for the wood warbler in the six study regions (i.e., high reproduction ≠ positive trend). Annual survival may be a decisive factor, but it is difficult to quantify for a nomadic species such as the wood warbler that rarely returns to the same breeding locations.</p>
Data from: Predation of wood mice (Apodemus sylvaticus) on hibernating bats
<p>In order to protect hibernating bats effectively, more knowledge about mortality factors is needed. This study proved the wood mouse (<em>Apodemus sylvaticus</em>) actively predates on bats. Fresh remains made by the wood mouse can be identified due to a typical pattern of lesions.</p> <p>This study was conducted in the province of Zuid-Holland, between the cities of Den Haag (The Hague), Leiden and the town of Wassenaar (between 52-070 and 52-090N, 4-180 and 4-210E). During a preliminary investigation with a trail camera, we were able to prove that wood mice actively searched for prey. Thereafter, remains of partially eaten bats have been collected and inspected in the laboratory. Bats which had not died of predation were excluded from the analysis. The remains that we found showed the typical pattern of lesions attributable to predation by wood mice. The skin of the victims is scraped clean. In the process of eating all the soft tissue, the skin is turned inside out, including the skin around the skull and hind legs. We found a total of 214 remains of predated bats during the 12 years. The resulting data are presented in this dataset.</p> <p> </p> <p>Files</p> <p><strong>Distance to entrance</strong></p> <p>Status: status of observation, this is a filter for fresh remains.</p> <p>Date: date of the observation of the remains. Note: observations were made each 2 weeks, not necessarily the date of death.</p> <p>Species: fresh remains of what bat species</p> <p>Location: name of hibernacula, location of observation</p> <p>N of animals: number of fresh remains</p> <p>Distance: distance to the exit (in meters)</p> <p> </p> <p><strong>Oak and predation</strong></p> <p>Winter: the period between September and April is defined as the winter of the year starting in January</p> <p>Predation: N of fresh remains found in one winter</p> <p>Cumulative N of bats: The cumulative population, based on the maximum population size of each site.</p> <p>Mast production of the common oak (kg): kg of acorns. We used annual data on the seed production of common oak collected by the ‘Vereniging Wildbeheer Veluwe’ in the province of Gelderland as a measure for the availability of acorns in our study area.</p> <p> </p> <p><strong>Predation and winter population</strong></p> <p>Winter: the period between September and April is defined as the winter of the year starting in January</p> <p>Predation: the Number of predated bats</p> <p>Max N: the maximum population size</p> <p>Location: the hibernacula</p>
Wood density for 26 plant species collected from Northern Western Ghats
<p>This dataset contains wood density estimates for species collected from Sindhudurg district of Maharashtra. The data was collected for baseline data generation for the Sahyadri Restoration Program as part of CEROS Lab at Nature Conservation Foundation. The fieldwork was carried out in Feb-Mar 2024.</p> <p>Wood cores were collected using Increment Borer (Haglof 12inch, 3 thread, 5.15mm)</p> <p>Usage notes:</p> <p>readme_wood_density.txt contains the information for each columns and the values calculated</p> <p>Wood Density Maharashtra.csv contains the dataset</p> <p><strong>ACKNOWLEDGEMENTS:</strong></p> <p>I would like to thank GCPL CSR (Godrej Consumers Products) for funding this data collection as part of the Sahyadri Restoration project and S.P.K College Sawantwadi for providing the necessary lab support. Special thanks to Dr. Deelip Bharmal (Principal S.P.K College) and Dr. G.S Margaj (Professor Zoology Dept) for help with the lab analysis.</p>
James Wood (w3097)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: James Wood<br><u>musiXplora-ID</u>: w3097<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/w3097">https://musixplora.de/mxp/w3097</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1799<br><u>Last Mentioned</u>: 1832<br><u>Sectors</u>: Handel, Holzblasinstrumentenbau<br><u>Professions (Musical)</u>: Holzblasinstrumentenbauer<br><u>Professions (Non-Musical)</u>: Händler<br><u>Other Places of Activity</u>: London<br><br><br><u>Portfolio:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Fagott</td><td><a href="https://musixplora.de/mxp/2001465">2001465</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Klarinette</td><td><a href="https://musixplora.de/mxp/2001466">2001466</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Flöte</td><td><a href="https://musixplora.de/mxp/2001480">2001480</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Flageolett</td><td><a href="https://musixplora.de/mxp/2001543">2001543</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Tank 1993</td><td>Verzeichnis der Blasinstrumentenmacher. nach der Abschrift des Heyer-III-Kataloges. [von Georg Kinsky, 1926]. Unveröffentlichtes Manu- und Typoskript</td><td><a href="https://musixplora.de/mxp/5033436">5033436</a></td></tr></tbody></table><br><u>Ereignisse:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Hersteller</td><td></td><td>Herstellung</td><td><a href="https://musixplora.de/mxp/6021095">6021095</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
George F. Wood (w3104)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: George F. Wood<br><u>musiXplora-ID</u>: w3104<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/w3104">https://musixplora.de/mxp/w3104</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1829<br><u>Last Mentioned</u>: 1871<br><u>Sectors</u>: Holzblasinstrumentenbau<br><u>Professions (Musical)</u>: Flötenbauer, Holzblasinstrumentenbauer, Klarinettenbauer<br><u>Other Places of Activity</u>: London<br><br><br><u>Schwägerschaft:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Schwiegereltern</td><td>Schwiegersohn</td><td>William Bainbridge</td><td><a href="https://musixplora.de/mxp/b2934">b2934</a></td></tr></tbody></table><br><u>Portfolio:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Klarinette</td><td><a href="https://musixplora.de/mxp/2001466">2001466</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Flöte</td><td><a href="https://musixplora.de/mxp/2001480">2001480</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Oboe</td><td><a href="https://musixplora.de/mxp/2001485">2001485</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Serpent</td><td><a href="https://musixplora.de/mxp/2001793">2001793</a></td></tr><tr><td>Sortimente</td><td>Sortiment</td><td>Alto fagotto</td><td><a href="https://musixplora.de/mxp/2002060">2002060</a></td></tr></tbody></table><br><u>Institutionen:</u><br><table><tbody><tr><th>Role</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>Shackleton Collection</td><td><a href="https://musixplora.de/mxp/3080397">3080397</a></td></tr></tbody></table><br><u>Titel/Medien:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Related</td><td>New Langwill Index 1993</td><td>The New Langwill Index. A Dictionary of Musical Wind-Instrument Makers and Inventors. NLI</td><td><a href="https://musixplora.de/mxp/5001112">5001112</a></td></tr><tr><td>Related</td><td>Kinsky 1926a</td><td>Blas- und Schlaginstrumente. Erster Teil. Flöten und Rohrblattinstrumente. . Katalog des Musikhistorischen Museums von Wilhelm Heyer in Köln (Leipzig). Dritter Band [der ursprünglich geplanten Katalogreihe]. Unveröffentliches Manu- und Typoskript. . Erschienen als Enhanced Publication. LM-enc Band 3. Schriftenreihe der Forschungsstelle DIGITAL ORGANOLOGY am Musikinstrumentenmuseum der Universität Leipzig. herausgegeben von Josef Focht</td><td><a href="https://musixplora.de/mxp/5001292">5001292</a></td></tr><tr><td>Related</td><td>Fricke 2007</td><td>Clarinets. Catalogue of the Sir Nicholas Shackleton Collection. Historic Musical Instruments in the Edinburgh University Collection</td><td><a href="https://musixplora.de/mxp/5001374">5001374</a></td></tr><tr><td>Related</td><td>Tank 1993</td><td>Verzeichnis der Blasinstrumentenmacher. nach der Abschrift des Heyer-III-Kataloges. [von Georg Kinsky, 1926]. Unveröffentlichtes Manu- und Typoskript</td><td><a href="https://musixplora.de/mxp/5033436">5033436</a></td></tr></tbody></table><br><u>Ereignisse:</u><br><table><tbody><tr><th>Role</th><th>Sigel</th><th>Title</th><th>mXp-ID</th></tr><tr><td>Hersteller</td><td></td><td>Herstellung</td><td><a href="https://musixplora.de/mxp/6021234">6021234</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
George Woods (w1954)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: George Woods<br><u>musiXplora-ID</u>: w1954<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/w1954">https://musixplora.de/mxp/w1954</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1853<br><u>Last Mentioned</u>: 1860<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Klavierbauer<br><u>Other Places of Activity</u>: Boston<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
J. H. Woods (w1953)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: J. H. Woods<br><u>musiXplora-ID</u>: w1953<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/w1953">https://musixplora.de/mxp/w1953</a><br><u>Gender</u>: m<br><u>First Mentioned</u>: 1850<br><u>Sectors</u>: Instrumentenbau<br><u>Professions (Musical)</u>: Blechblasinstrumentenbauer<br><u>Other Places of Activity</u>: Newcastle upon Tyne<br><br><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
Dataset associated with Schyns & Vanham (2019) "The water footprint of wood for energy consumed in the European Union"
<p>Input and output datasets related to the paper Schyns & Vanham (2019) The water footprint of wood for energy consumed in the European Union. <em>Water</em>, 11(2): 206.</p>
Woods Hole Egg: Egg Characters
EGG CHARACTERISTICS AND BREEDING SEASON FOR WOODS HOLE SPECIES. MBL Biological Bulletin, <p></p>http://comm.archive.mbl.edu/BiologicalBulletin/EGGCOMP/EggComp-Tab.html
Acoustic- and Moth sampling at Etonbury Wood (Bedford) - United Kingdom
<p>Moths sampling by hand of led buckets (https://www.vlinderstichting.nl/wat-wij-doen/meetnetten/meetnet-nachtvlinders/ledemmers/) and acoustic sampling by hand of AudioMoths (https://www.openacousticdevices.info/audiomoth) in a silvoarable system</p>
Data from "Resource pulses drive spatio-temporal dynamics of non-native bark beetles and wood borers"
<p>This is a compilation of datasets that were used for the publication entitled "Resource pulses drive spatio-temporal dynamics of non-native bark beetles and wood borers" by Eckehard G. BROCKERHOFF, Stephanie L. SOPOW, and Martin K.-F. BADER, published in the Journal of Applied Ecology, 'in press' in October 2024.</p> <p>Note: The date format is either (i) season (spring/summer/autumn/winter) plus a two-figure short form for the year (e.g., "autumn08" stands for autumn 2008), or (ii) just the year for an annual total in either four- or two-figure form in the file name (e.g., "reg2010sums.csv" or "reg10sums.csv" for the year 2010).</p> <p>1. File "mean_trap_catches.csv" = Data used for Fig. 1 - Mean trap catch data of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus over time in Kaingaroa forest stands 378 ("F2006"), 377 ("F2009"), and 383 ("F2010"). For further explanations see methods of Brockerhoff et al. (2024).</p> <p>2. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2010, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>3. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2011, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>4. File "reg2010sums.csv" = Data used for Fig. 2 - Year 2012, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 2 in Brockerhoff et al. (2024).</p> <p>5. File "reg10sums.csv" = Data used for Fig. 3 - Year 2010, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>6. File "reg11sums.csv" = Data used for Fig. 3 - Year 2011, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>7. File "reg12sums.csv" = Data used for Fig. 3 - Year 2012, annual trap catches of Hylastes ater, Hylurgus ligniperda and Arhopalus ferus indicating approximate dispersal distances between Pinus radiata stands. For details see caption of Fig. 3 in Brockerhoff et al. (2024).</p> <p>8. File "hylu2010-fitted_dispersal_to_5km-Version_23May2024.csv" = Data shown in Fig. 4 - Extension of the prediction range to 5 km of Hylurgus ligniperda dispersal data, using a generalised additive mixed model (GAMM) with beta distributed errors and the default logarithmic link. For details see caption of Fig. 4 and methods in Brockerhoff et al. (2024).</p> <p> </p>
Knowledge repository for Non-Wood Forest Products - Dataset of factsheets from INCREDIBLE
<p>The<strong><em> Knowledge Repository for Non-Wood Forest Products</em></strong> is a collection of information on innovation about non-wood forest products gathered from experts and practitioners during the <a href="https://incredibleforest.net/">INCREDIBLE project</a>. It brings together, in a single platform, knowledge about cork, pine oleoresin, wild mushrooms & truffles, aromatic & medicinal plants and wild nuts & berries, around various themes, from Portugal, Spain, France, Italy, Croatia, Greece and Tunisia.</p> <p>Each piece of knowledge is summarised in a factsheet, that can concern one or several non-wood forest products, as some issues or solutions are transversal. The factsheets can either contain practical knowledge (success stories, good practices, technical reports) or more theoretical or academic results (research results, databases, policies). The factsheets can also be identified by the position in the value chain to which the knowledge applies, from forestry to end-consumers.</p>
EXPLO. Sovjan 2021. Archaeological wood samples metadata
<p>Information on unit provenance, size, presence of sapwood, number of rings and species of the wood samples from the archaeological site of Sovjan, Albania, sampled in 2018 and presented in "<em>The Early Bronze Age dendrochronology of Sovjan (Albania): A first tree-ring sequence of the 24th – 22nd c. BC for the southwestern Balkans</em>", Maczkowski et al., 2021, DOI: <a href="http://dx.doi.org/10.1016/j.dendro.2021.125811">10.1016/j.dendro.2021.125811</a></p>
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.