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8,537 results for “Openness”
Blast damage zone influence on groundwater fluxes through backfilled open-pits
<p>This folder contains the files needed to run the numerical simulations as done in the paper "Blast damage zone influence on groundwater fluxes through backfilled open-pits" by Moise Rousseau and Thomas Pabst.</p>
Open data for the article "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition"
<p>Open data for the article "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition", which will be published in Open Research Europe</p>
dataset for paper "Activation energy for pore opening in lipid membranes under an electric field"
<p>Dataset for the paper "Electropermeabilization of hydroperoxidized lipid membranes".</p> <p>Data was generated from Orbit Mini miniaturized bilayer workstation (Nanion Technologies, Munich, Germany), with an inserted microelectrode cavity array (MECA 4) recording chip (Ionera Technologies, Freiburg, Germany).</p> <p>The data files have format .abf, a standard format for electrophysiological data. <br> It can be read by applications such as for instance</p> <p>- Clampex and ClampFit, from the patch-clamp software suite pCLAMP, <br> - Elements Data Analyzer, associated with the elements data reader software from Elements-IC, </p> <p><br> or imported into Python through the package pyABF 2.3.5.</p> <p>import pyabf // abf=pyabf.ABF(path+"/"+f+"/"+abffile) // data = np.vstack((abf.sweepX, abf.data)) </p> <p>Data is organized in five folders named according to target hydroperoxidation degrees:<br> POPC<br> POPC-OOH 25%<br> POPC-OOH 50%<br> POPC-OOH 75%<br> POPC-OOH 100%</p> <p>Inside each of the five above files data is organized by date, and informed with the actual measured hydroperoxidation degree for a given sample. </p>
Opening the Future... in 60 seconds
<p>A short animated video with key details about <em>Opening the Future</em>, a collective funding model developed by COPIM's Work Package 3, in close collaboration with Central European University Press and Liverpool University Press, the first two university presses implementing the model.</p>
AID: Open-Source Anechoic Interferer Dataset
<p>A dataset of anechoic recordings of various sound sources encountered in domestic environments is provided, which is intended to be a resource of non-stationary, environmental noise signals that, when convolved with acoustic impulse responses, can be used to simulate complex acoustic scenes.</p> <p>The dataset consists of anechoic recordings of 43 different types of sound sources encountered in domestic environments, with the number of individual recordings per sound source varying between two and eleven. The sound sources, which are mostly household devices and utilities, include door keys, plastic bags, clothing, a drilling machine, an electric blender, glass jars and metal boxes but also a few human-made sounds, such as clapping, breathing, snapping or whistling. The recordings cover a wide range of timbres. Multiple sounds from every individual source were recorded by different ways of excitation, such as hitting and shaking, or switching on and off the electric devices. Three different microphones were used to record the various sound sources.</p> <p>In addition, a <em>Python</em> library is provided that can be used to randomly arrange multiple anechoic noise recordings into a single channel interference signal. The number of individual recordings concurrently playing at any point in time in an interference signal can be specified by the user, providing control over the temporal density. The signal generator implementation is hosted on <a href="https://github.com/audiolabs/anechoic-noise">GitHub</a>.</p>
Surveying the Open Science Knowledge in a Southern Brazilian University - Survey Questions and Answers
<p>Surveying the Open Science Knowledge in a Southern Brazilian University - Survey Questions and Answers</p>
Image data for bioRxiv article named: mtFociCounter - Reproducible, open source and quantitative single-cell analysis of mitochondrial nucleoids and other foci
<p>Raw imaging data to reproduce and test the findings of the bioRxiv article: <strong>mtFociCounter </strong>- Reproducible, open source and quantitative single-cell analysis of mitochondrial nucleoids and other foci. It contains data from three imaging days and 2 or three technical replicates on each day.</p> <p> </p>
Bee Tracker – an open-source machine-learning based video analysis software for the assessment of nesting and foraging performance of cavity-nesting solitary bees
<p>The foraging and nesting performance of bees can provide important information on bee health and is of interest for risk and impact assessment of environmental stressors. While radio-frequency identification (RFID) technology is an efficient tool increasingly used for the collection of behavioral data in social bee species such as honey bees, behavioral studies on solitary bees still largely depend on direct observations, which is very time-consuming.</p> <p>Here, we present a novel automated methodological approach of individually and simultaneously tracking and analyzing foraging and nesting behavior of numerous cavity-nesting solitary bees. The approach consists of monitoring nesting units by video recording and automated analysis of videos by a machine learning based software. This <i>Bee Tracker</i> software consists of four trained deep learning networks to detect bees that enter or leave their nest and to recognize individual IDs on the bees' thorax as well as the IDs of their nests according to their positions in the nesting unit.</p> <p>The software is able to identify each nest of each individual nesting bee, which permits to measure individual-based measures of reproductive success. Moreover, the software quantifies the number of cavities a female enters until it finds its nest as a proxy of nest recognition, and it provides information on the number and duration of foraging trips. By training the software on 8 videos recording 24 nesting females per video, the software achieved a precision of 96% correct measurements of these parameters.</p> <p>The software could be adapted to various experimental setups by training it to an according set of videos. The presented method allows to efficiently collect large amounts of data on cavity-nesting solitary bee species and represents a promising new tool for the monitoring and assessment of behavior and reproductive success under laboratory, semi-field and field conditions.</p>
SUTO-Solar through-turbulence open image dataset
<p>Database of solar small-area images disturbed by turbulent atmosphere. Together with short series of images, an MFBD-assisted recovered image is provided. Paper describing the dataset as well as utilized instrumentation can be found in the original work at https://www.mdpi.com/1424-8220/22/20/7902</p> <p> </p>
Bayesian Samples and Data Behind Figures: Comprehensive Bayesian Modeling of Tidal Circularization in Open Cluster Binaries part I
<p>Auxiliary data associated with the article <a href="https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.6145P/abstract">"Comprehensive Bayesian Modeling of Tidal Circularization in Open Cluster Binaries part I: M 35, NGC 6819, NGC 188" by Penev, K & Schussler, J</a></p> <p>The type of data corresponds to a particular filename format. Bayesian samples are in HDF5 format, directly as saved by the <a href="https://emcee.readthedocs.io/en/stable/index.html">emcee</a> sampler (see <a href="https://emcee.readthedocs.io/en/stable/user/backends/">https://emcee.readthedocs.io/en/stable/user/backends/</a>). All other files are in AAS-journal style machine readable tables format generated by <a href="https://github.com/cds-astro/cds.pyreadme">cdspyreadme</a> python library.</p> <p>Description of contents by filename format:</p> <pre><code><CLUSTER>_<BINARY ID>_.*.h5</code></pre> <p>Bayesian analysis samples constraining the tidal dissipation efficiency of the given binary. The values of the sampled system and tidal dissipation parameters are stored as blobs (<a href="https://emcee.readthedocs.io/en/stable/user/blobs/">https://emcee.readthedocs.io/en/stable/user/blobs/)</a></p> <pre><code><CLUSTER>_<BINARY ID>_lgQ_period.mrt</code></pre> <p>The 2.3%, 15.9%, 84.1%, and 97.7% quantiles of <span class="math-tex">\(\log_{10}Q_\star'\)</span> for the given binary as a function of tidal period</p> <pre><code><CLUSTER>_<BINARY ID>_burnin_period.mrt</code></pre> <p>The MCMC burn-in period before the 2.3%, 15.9%, 84.1%, and 97.7% quantiles of <span class="math-tex">\(\log_{10}Q_\star'\)</span> for the given binary are considered converged (see article text).</p> <pre><code><CLUSTER>_<BINARY ID>_cdfstd_period.mrt</code></pre> <p>The standard deviation of the <span class="math-tex">\(CDF(\log_{10}Q_\star')\)</span> for the given binary as a function of tidal period for each of the quantiles. The maximum likelihood value is the target percentile, i.e. one of: 2.3%, 15.9%, 84.1%, and 97.7%</p>
Data for FEgrow: An Open-Source Molecular Builder and Free Energy Preparation Workflow
<p>Data illustrating the use of de novo design in building and scoring protein-ligand complexes.</p> <p>This is relationship to the FEgrow publication with the intiial preprint here: <br> https://chemrxiv.org/engage/chemrxiv/article-details/6287bb98a42e9c78d34769f6<br> </p> <p>The FEgrow software snapshot used can be found here: https://zenodo.org/record/7105647#.YzFwINLMIUE</p>
pl-wnifc/humdrum-polish-scores: Digital scores from the "Polish Music Heritage in Open Access" project
<p>Digital scores from the Polish Music Heritage in Open Access project</p> <p>This repository contains transcriptions from the Heritage of Polish Music in Open Access project at the <a href="https://nifc.pl/en">Chopin Institute</a> in the Humdrum digital score format. Files are organized by the RISM siglum ID of the source archive.</p> <p>Frontend</p> <p>The main user interface for these digital scores is at <a href="https://polishscores.org/">https://polishscores.org/</a>. All transcriptions include scans of the physical scores.</p> <p>Staff:</p> <ul> <li><strong>Lead</strong>: Marcin Konik</li> <li><strong>Technical Lead</strong>: Craig Stuart Sapp</li> <li><strong>Project Manager</strong>: Jacek Iwaszko</li> <li><strong>Metadata Manager: </strong>Marcelina Chojecka</li> <li><strong>Assistant Project Manager</strong>: Emilia Ziętek</li> </ul> <p> </p> <p>Data created within EU funded project "Polish Music Heritage in Open Access"</p> <p>Co-financed by the Ministry of Culture and National Heritage</p> <p> </p> <table align="left"> <caption>Archives represented in repository</caption> <thead> <tr> <th scope="col">Siglum</th> <th scope="col">Library</th> <th scope="col">Scores</th> </tr> </thead> <tbody> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-cz/kern">pl-cz</a></td> <td><a href="https://jasnagora.pl/en/o-sanktuarium/biblioteki/biblioteka-jasnogorska">Jasna Góra Monastery</a></td> <td>1294</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-gd/kern">pl-gd</a></td> <td><a href="https://bgpan.gda.pl/?lang=en">Gdańsk Library PAoS</a></td> <td>244</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kc/kern">pl-kc</a></td> <td><a href="https://mnk.pl/branch/the-princes-czartoyski-library">Czartoryski Library, Cracow</a></td> <td>108</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kj/kern">pl-kj</a></td> <td><a href="https://bj.uj.edu.pl/en_GB/start-en">Jagiellonian Library, Cracow</a></td> <td>29</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kk/kern">pl-kk</a></td> <td><a href="http://akkk.com.pl/">Wawel Cathedral, Cracow</a></td> <td>1720</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-kozmzk/kern">pl-kozmzk</a></td> <td><a href="https://www-muzeumzamoyskich-pl.translate.goog/?_x_tr_sch=http&_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en">Zamoyski Museum, Kozłówka</a></td> <td>168</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-sa/kern">pl-sa</a></td> <td><a href="http://bc.bdsandomierz.pl/dlibra?language=en">Diocesan Library, Sandomierz</a></td> <td>1244</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-stab/kern">pl-stab</a></td> <td><a href="https://rism.info/library_collections/2017/09/28/music-in-the-convent-of-st-adalberts-abbey-in.html">St. Adalbert Abbey, Staniątki</a></td> <td>154</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wn/kern">pl-wn</a></td> <td><a href="https://www.bn.org.pl/en">Polish National Library</a></td> <td>496</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wnifc/kern">pl-wnifc</a></td> <td><a href="https://nifc.pl/en">Chopin Institute, Warsaw</a></td> <td>390</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wtm/kern">pl-wtm</a></td> <td><a href="http://warszawskietowarzystwomuzyczne.pl/biblioteka/">Warsaw Music Society</a></td> <td>1163</td> </tr> <tr> <td><a href="https://github.com/pl-wnifc/humdrum-polish-scores/tree/main/pl-wumfc/kern">pl-wumfc</a></td> <td><a href="http://www.biblioteka.chopin.edu.pl/pl">Chopin University of Music</a></td> <td>151</td> </tr> </tbody> </table> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
CHIST-ERA The European Open Science Policy Landscape - Status and Trends
<p>CHIST-ERA carried out an analysis among its member agencies regarding their national Open Science policies and practices. An Analysis summarises the Status Quo in 2021 and compares the evolution of the policies between 2019 and 2021.</p> <p>Data are coming from Open Science Policies Survey - in 2019 and 2021 - among funding agencies that are members of ChistEra.</p>
Text-fig. 4. Porechye open pit coal mine. a: photography of the Lipovtsy Formation section; b: stratigraphic column, 1 – sandstone, 2 – conglomerate, 3 – coal, 4 – tuff dated by U-Th-Pb geochronology, 5 – siltstone, 6 – mudstone, 7 – palynological samples with angiosperm pollen, 8 – dispersed angiosperm cuticles. in Angiosperm Diversification In The Early Cretaceous Of Primorye, Far East Of Russia
Text-fig. 4. Porechye open pit coal mine. a: photography of the Lipovtsy Formation section; b: stratigraphic column, 1 – sandstone, 2 – conglomerate, 3 – coal, 4 – tuff dated by U-Th-Pb geochronology, 5 – siltstone, 6 – mudstone, 7 – palynological samples with angiosperm pollen, 8 – dispersed angiosperm cuticles.
Text-fig. 1. Extant Sciadopitys verticillata pollen. a–c: LM images (scale bars 10 µm), a – polar view, b – equatorial view, c – equatorial view with well visible thinning of proximal leptoma; d–e: SEM overview images (scale bar 10 µm), d – distal polar view, e – oblique equatorial view; f – equatorial view with leptoma at top; g–i: SEM detailed images (scale bars 2 µm), g – detail of verrucate, echinate, perforate sexine of distal pol, h – wall break displaying thin nexine and verrucate, echinate sexine, i – ripped open leptoma displaying transition from verrucate sculpturing to nearly psilate state. in The Occurrence Of Pollen Of Sciadopityaceae Luerss. Through Time
Text-fig. 1. Extant Sciadopitys verticillata pollen. a–c: LM images (scale bars 10 µm), a – polar view, b – equatorial view, c – equatorial view with well visible thinning of proximal leptoma; d–e: SEM overview images (scale bar 10 µm), d – distal polar view, e – oblique equatorial view; f – equatorial view with leptoma at top; g–i: SEM detailed images (scale bars 2 µm), g – detail of verrucate, echinate, perforate sexine of distal pol, h – wall break displaying thin nexine and verrucate, echinate sexine, i – ripped open leptoma displaying transition from verrucate sculpturing to nearly psilate state.
Text-fig. 8. SEM (a, b) and SRXTM (c, d) images of fruit associated with Miranthus elegans and Miranthus kvacekii; Mira locality, Portugal. a: Apical view of capsular fruit with five, partly open valves revealing the enclosed reticulate seeds (arrows). b: Detail of fruit wall showing an enclosed seed (arrow). c: Transverse section (orthoslice xy1200) of fruit showing central column (cc) of placenta and numerous angular and bitegmic seeds; note that the outer integument (black arrow) is thicker than inner integument (white arrow). d: Longitudinal section (orthoslice yz1239) of fruit showing perigynous attachment of calyx, central column (cc) of the placenta and sections through seeds. Specimen, Mira 99-S156331 (a–d). Scale bars = 600 µm (a, c, d), 200 µm (b). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 8. SEM (a, b) and SRXTM (c, d) images of fruit associated with Miranthus elegans and Miranthus kvacekii; Mira locality, Portugal. a: Apical view of capsular fruit with five, partly open valves revealing the enclosed reticulate seeds (arrows). b: Detail of fruit wall showing an enclosed seed (arrow). c: Transverse section (orthoslice xy1200) of fruit showing central column (cc) of placenta and numerous angular and bitegmic seeds; note that the outer integument (black arrow) is thicker than inner integument (white arrow). d: Longitudinal section (orthoslice yz1239) of fruit showing perigynous attachment of calyx, central column (cc) of the placenta and sections through seeds. Specimen, Mira 99-S156331 (a–d). Scale bars = 600 µm (a, c, d), 200 µm (b).
Text-fig. 2. SEM images of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Flowers in oblique lateral view showing remains of calyx and slightly semi-inferior ovary with elongated apical style (a); note larger openings in the floral tissue (asterisk) interpreted as schizogenous secretory cavities and the stomata-like secretory structures on the upper portion of the ovary (arrows) that are interpreted as nectariferous (b). c: Detail of ovary surface showing secretory stomata-like structures (arrows). d: Flower in lateral view showing fragmentary calyx and broken slightly semi-inferior ovary with secretory stomata-like structures; note the point of attachment of the central placenta (pl). e: Cluster of seeds removed from the ovary in (d) showing reticulate surface. f: Outer (abaxial) surface of calyx lobe showing the slightly pointed papillae and scattered, fine trichomes (arrows). g: Triaperturate pollen grains from the ovary surface. Specimens, Mira 100-S153146 (a, b), Mira 100-S170155 (c), Mira 100-S101266 (d, e), Mira 105-S100732 (f), Mira 100-S170125 (g). Scale bars = 600 µm (a, b, d), 300 µm (f), 100 µm (c, e), 10 µm (g). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 2. SEM images of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Flowers in oblique lateral view showing remains of calyx and slightly semi-inferior ovary with elongated apical style (a); note larger openings in the floral tissue (asterisk) interpreted as schizogenous secretory cavities and the stomata-like secretory structures on the upper portion of the ovary (arrows) that are interpreted as nectariferous (b). c: Detail of ovary surface showing secretory stomata-like structures (arrows). d: Flower in lateral view showing fragmentary calyx and broken slightly semi-inferior ovary with secretory stomata-like structures; note the point of attachment of the central placenta (pl). e: Cluster of seeds removed from the ovary in (d) showing reticulate surface. f: Outer (abaxial) surface of calyx lobe showing the slightly pointed papillae and scattered, fine trichomes (arrows). g: Triaperturate pollen grains from the ovary surface. Specimens, Mira 100-S153146 (a, b), Mira 100-S170155 (c), Mira 100-S101266 (d, e), Mira 105-S100732 (f), Mira 100-S170125 (g). Scale bars = 600 µm (a, b, d), 300 µm (f), 100 µm (c, e), 10 µm (g).
Text-fig. 1. SEM images of flowers of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Flowers in lateral view showing elongated pedicel, narrowly triangular sepals and elongated protruding style (a); note the large openings in the floral tissue and pedicel (asterisks) interpreted as schizogenous secretory cavities. c: Flower in lateral view with portion of the calyx missing exposing the ovary wall and slightly raised nectariferous ring with probable stomata-like secretory structures (arrow). d: Flower in lateral view showing long pedicel and three of the five tepals; note the elongated narrowly triangular form of the sepals. e: Flower in oblique lateral view with portion of the calyx missing exposing the ovary and elongated style. f, g: Flowers in apical view showing the bases of five sepals (f) and apex of the five-parted ovary; note larger openings in the floral tissue (asterisk) interpreted as schizogenous secretory cavities. Specimens, Mira 100-S170155 (a, holotype), Mira 100-S153145 (b, c, g), Mira 100- S101267 (d), Mira 105-S100732 (e), Mira 100-S101268 (f). Scale bars = 600 µm (a–g). in Early Flowers Of Primuloid Ericales From The Late Cretaceous Of Portugal And Their Ecological And Phytogeographic Implications
Text-fig. 1. SEM images of flowers of Miranthus elegans gen. et sp. nov.; Mira locality, Portugal. a, b: Flowers in lateral view showing elongated pedicel, narrowly triangular sepals and elongated protruding style (a); note the large openings in the floral tissue and pedicel (asterisks) interpreted as schizogenous secretory cavities. c: Flower in lateral view with portion of the calyx missing exposing the ovary wall and slightly raised nectariferous ring with probable stomata-like secretory structures (arrow). d: Flower in lateral view showing long pedicel and three of the five tepals; note the elongated narrowly triangular form of the sepals. e: Flower in oblique lateral view with portion of the calyx missing exposing the ovary and elongated style. f, g: Flowers in apical view showing the bases of five sepals (f) and apex of the five-parted ovary; note larger openings in the floral tissue (asterisk) interpreted as schizogenous secretory cavities. Specimens, Mira 100-S170155 (a, holotype), Mira 100-S153145 (b, c, g), Mira 100- S101267 (d), Mira 105-S100732 (e), Mira 100-S101268 (f). Scale bars = 600 µm (a–g).
Text-fig. 6. Briveichthys chantepieorum gen. et sp. nov. a: reconstruction of the skull roof and the nasal in dorsal view, scale bar 5 mm; b: reconstruction of the skull in lateral view (parts of the skull which are not clearly retained are in grey colour), scale bar 5 mm. Abbreviations: ana – anterior nasal opening, Aop – antoperculum, De – dentalosplenial, Dpt – dermopterotic, Dsph – dermosphenotic, Fr – frontal, Gul – lateral gular, ioc – infraorbital canal, Ju – jugal, Mx – maxilla, Na – nasal, Op – operculum, Pa – parietal, pl – pit line, Pop – preoperculum, Pt – posttemporal, Rbr – branchiostegal ray, Scl – supracleithrum, soc – supraorbital canal, Sop – suboperculum, sr – sclerotical ring. in New Actinopterygians From The Permian Of The Brive Basin, And The Ichthyofaunas Of The French Massif Central
Text-fig. 6. Briveichthys chantepieorum gen. et sp. nov. a: reconstruction of the skull roof and the nasal in dorsal view, scale bar 5 mm; b: reconstruction of the skull in lateral view (parts of the skull which are not clearly retained are in grey colour), scale bar 5 mm. Abbreviations: ana – anterior nasal opening, Aop – antoperculum, De – dentalosplenial, Dpt – dermopterotic, Dsph – dermosphenotic, Fr – frontal, Gul – lateral gular, ioc – infraorbital canal, Ju – jugal, Mx – maxilla, Na – nasal, Op – operculum, Pa – parietal, pl – pit line, Pop – preoperculum, Pt – posttemporal, Rbr – branchiostegal ray, Scl – supracleithrum, soc – supraorbital canal, Sop – suboperculum, sr – sclerotical ring.
Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021). in Floristic, Vegetation And Climate Assessment Of The Early/Middle Miocene Parschlug Flora Indicates A Distinctly Seasonal Climate
Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021).
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.