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TABLE 1 in Stuck in the middle. A geographical appraisal of the oldest insectivores - and a marsupial - from the Vallès-Penedès Basin (early Miocene, Catalonia, Spain)
<p>TABLE 1. — Localities studied with their corresponding stage and zone and their relative position (when possible). Abbreviations: <b>srm</b>, stratigraphic refinement method used to determine the relative position; <b>L</b>, lithostratigraphy; <b>M</b>, magnetostratigraphy; <b>B</b>, biostratigraphy.</p><table><thead><tr><th><b>Localities</b></th><th><b>Stage and zone</b></th><th><b>Relative position</b></th><th><b>Srm</b></th></tr></thead><tbody><tr><th>La Vinya Vella</th><td>MN4</td><td>very high in succession</td><td>B+L</td></tr><tr><th>El Palau 3B</th><td>MN4?</td><td>–</td><td>B</td></tr><tr><th>El Canyet</th><td>MN4?</td><td>–</td><td>B</td></tr><tr><th>Les Escletxes del Papiol</th><td>Aragonian zone C</td><td>subzone Cb? younger than Vilobí</td><td>B+L</td></tr><tr><th>Sant Mamet</th><td>Aragonian zone C</td><td>subzone Cb? younger than Vilobí</td><td>B+L+M</td></tr><tr><th>Vilobí del Penedès</th><td>Aragonian zone C</td><td>subzone Cb? younger than Els Casots</td><td>B+L</td></tr><tr><th>Els Casots</th><td>Aragonian zone C</td><td>subzone Cb?</td><td>B+L</td></tr><tr><th>Can Julià</th><td>Aragonian zone C</td><td>–</td><td>B+L</td></tr><tr><th>Can Martí Vell 1-3</th><td>Aragonian zone C</td><td>subzone Ca?</td><td>B+L</td></tr><tr><th>Les Cases de la Valenciana</th><td>Aragonian zone C</td><td>subzone Ca?</td><td>B+L</td></tr><tr><th>El Molí de Can Calopa</th><td>Ramblian zone A</td><td>younger than Costablanca</td><td>B+L</td></tr><tr><th>La Costablanca 1-2</th><td>Ramblian zone A</td><td>–</td><td>B+L</td></tr><tr><th>Turó de les Forques</th><td>Ramblian zone A</td><td>below Costablanca</td><td>B+L</td></tr><tr><th>Sant Andreu de la Barca 1-3</th><td>Ramblian zone A</td><td>–</td><td>B</td></tr></tbody></table>
TABLE 1 in Finite element analysis of the proximal phalanx of the thumb in Hominoidea during simulated stone tool use
<p>TABLE 1. — Sample. Abbreviations: <b>a</b>, age of individuals, if known; unk: unknown. <b>b</b>, M: male; F: female. <b>c</b>, R: right; L: left.</p><table><tbody><tr><th><b>Species</b></th><th><b>Common name</b></th><th><b>Age a</b></th><th><b>Sex b</b></th><th><b>Side</b></th><th><b>Digital database/ <b>no</b></b></th><th><b>CT/microCT resolution (mm)</b></th></tr></tbody><tbody><tr><th><i>Homo sapiens</i></th><td>Modern human</td><td>59</td><td>M</td><td>R</td><td>None</td><td>0.08</td></tr><tr><th><i>Homo neanderthalensis</i></th><td>Neanderthal</td><td>unk</td><td>unk</td><td>R</td><td>NESPOS/ Krapina 202</td><td>0.03</td></tr><tr><th><i>Pan troglodytes</i></th><td>Chimpanzee</td><td>29</td><td>M</td><td>L</td><td>KURPI/345</td><td>0.219</td></tr><tr><th><i>Gorilla gorilla</i></th><td>Gorilla</td><td>38</td><td>M</td><td>R</td><td>KUPRI/1353</td><td>0.500</td></tr><tr><th><i>Pongo pygmaeus</i></th><td>Orangutan</td><td>32</td><td>F</td><td>R</td><td>None</td><td>0.03</td></tr><tr><th><i>Hylobates lar</i></th><td>Gibbon</td><td>33</td><td>M</td><td>R</td><td>KUPRI/465</td><td>0.250</td></tr></tbody></table>
TABLE 2 in Stuck in the middle. A geographical appraisal of the oldest insectivores - and a marsupial - from the Vallès-Penedès Basin (early Miocene, Catalonia, Spain)
<p>TABLE 2. — Summary of the fossil occurrences of the taxa studied in this work. Question mark (?) indicates the occurrence of one or another similar taxon.</p><table><thead><tr><th></th><th><i>Amphperatherium</i></th><th><i>Galerix remmerti</i></th><th><i>Galerix symeonidisi</i></th><th><i>Desmanodon daamsi</i></th><th><i>Chainodus</i> sp.</th><th><i>Plesiodimylus</i> sp.</th><th><i>Heterosorex neumayrianus</i></th><th><i>Miosorex</i> sp.</th><th><i>Oligosorex</i> cf. <i>thauensis</i></th><th>cf. <i>Clapasorex alvarezae</i></th><th>cf. <i>Florinia</i></th><th><i>Paenelimnoecus</i> sp.</th><th>Soricinae indet.</th></tr></thead><tbody><tr><th>La Vinya Vella</th><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>El Palau 3B</th><td>×</td><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>El Canyet</th><td>×</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>×</td></tr><tr><th>Escletxes del Papiol</th><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>×</td><td>×</td><td>–</td></tr><tr><th>Sant Mamet 1</th><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Vilobí del Penedès</th><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>×</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Can Julià</th><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td><td>×</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Can Martí Vell 3</th><td>–</td><td>–</td><td>×</td><td>×</td><td>–</td><td>–</td><td>×</td><td>×</td><td>×</td><td>–</td><td>×</td><td>–</td><td>–</td></tr><tr><th>Can Martí Vell 2</th><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>×</td><td>×</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Can Martí Vell 1</th><td>×</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>×</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Les Cases de la Valenciana 1</th><td>×</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Costablanca II</th><td>–</td><td>–</td><td>–</td><td>–</td><td>×</td><td>×</td><td>×</td><td>–</td><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td></tr><tr><th>Costablanca</th><td>–</td><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Turó de les Forques 1</th><td>×</td><td>×</td><td>–</td><td>×</td><td>×</td><td>×</td><td>–</td><td>–</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Sant Andreu de la Barca 3</th><td>–</td><td>×</td><td>–</td><td>×</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>Sant Andreu de la Barca 1</th><td>×</td><td>×</td><td>–</td><td>×</td><td>–</td><td>×</td><td>–</td><td>–</td><td>?</td><td>?</td><td>×</td><td>–</td><td>–</td></tr></tbody></table>
Table A.1: Complete sample
<p>Complete sample studied in "CARMENES input catalogue of M dwarfs IX. Multiplicity from close spectroscopic binaries to ultrawide systems" (the full version of this table can be accessed via CDS and GitHub).</p>
Table A.6: Description of the full sample table
<h2>Notes </h2> <p>a) <strong>ID_star</strong> is a unique identifier that sorts the table by right ascension but prioritising that components of the same system (equal <strong>ID_system</strong>) are together and sorted by decreasing brightness.</p> <p>b) Name of the star, Simbad-searchable, obeying the following priority (n designates a natural number): Proper name > Variable in constellation (V* V n Con; but not suspected variables, SV*) > Henry Draper (HD n, with n <= 225300) > Gliese-Jahreiss (GJ n, only if n < 4000) > Bonner Durchmusterung (BD±n n) > Luyten (LP n-n) > Giclas (G n-n, only if unique Giclas designation) > Luyten (LHS n) > Other designations in chronological order (Haro, StKM/StM, 1RXS/RXS, HIP, LSPM, PM, NLTT, GSC, TYC, MCC, R78b, I81, 2MUCD) > Catalog identifier (<em>Gaia</em> DR3, 2MASS, UCAC4).</p> <p>c) Gliese-Jahreiß (GJ) designation entry, when available. This includes the first catalogue by <a href="https://ui.adsabs.harvard.edu/abs/1957MiABA...8....1G" target="_blank" rel="noopener">Gliese (1957)</a> and its update (<a href="https://ui.adsabs.harvard.edu/abs/1969VeARI..22....1G" target="_blank" rel="noopener">Gliese 1969</a>), the supplement by <a href="https://ui.adsabs.harvard.edu/abs/1970ROAn....5.....W" target="_blank" rel="noopener">Wooley et al. (1970)</a>, and the succeeding editions (<a href="https://ui.adsabs.harvard.edu/abs/1979A&AS...38..423G" target="_blank" rel="noopener">Gliese & Jahreiß 1979</a>).</p> <p>d) "HHMMm±DDd" are the truncated equatorial coordinates. For close stars with separations less than 5 arcsec, a position of the star in the system is added as "N", "S", "E" or "W".</p> <p>e) <strong>SpTnum</strong> = 10.0 for O0.0V, 20.0 for B0.0V, 30.0 for A0.0V, 40.0 for F0.0V, 50.0 for G0.0V, 60.0 for K0.0V, 70.0 for M0.0V, 70.5 for M0.5V, 80.0 for L0. The values 0.0 and 999 are reserved for white dwarfs and stars with a luminosity class other than main sequence (V), respectively. Spectral types were rounded when necessary (e.g. M0.0 instead of M0.1, or M4.0 instead of M3.8). "This work" refers to spectral type photometric estimation from absolute magnitudes as <a href="https://ui.adsabs.harvard.edu/abs/2020A&A...642A.115C" target="_blank" rel="noopener">Cifuentes et al. (2020)</a>.</p> <p>f) "Candidate" and "Multiple+" must be read as "new unresolved binary candidate".</p> <p>g) The system nomenclature follows the scheme in Fig. 11.</p> <p>h) Definitions of SB1, SB2, ST2, ST3, and SQ are shown in Table A.4.</p> <p>i) WDS discoverer code or literature reference.</p> <p>j) Abbreviations follow the scheme outlined in Table 8.</p> <p>k) <strong>id</strong>: WDS identifier (see also column Discoverer); <strong>comp</strong>: Component designations; <strong>obs1</strong>, <strong>obs2</strong>: First and last observation years; <strong>pa2</strong>: Positional angle in the most recent measurement; <strong>sep2</strong>: Separation in the most recent measurement; <strong>mag1</strong>, <strong>mag2</strong>: Magnitudes of the two components. More details can be found in the <a href="http://www.astro.gsu.edu/wds/" target="_blank" rel="noopener">WDS website</a>.</p> <p>l) In systems of three or more components, "01" denotes the separation between the closest components, i.e., <strong>s01</strong> < <strong>s02</strong>.</p> <p>m) The reference is displayed when the value is not calculated in this work using <em>Gaia</em> data. The reference for <strong>s02</strong> is <em>Gaia</em> in all cases. This also applies to the orbital periods.</p> <p>n) Measured eastward from the north in the epoch 2016.0. In the programmatic computation of this parameter caution must be taken regarding the "quadrant ambiguity", i.e., a 180-deg erroneous difference.</p> <p>o) For triple or higher-order systems, this association refers to the primary component.</p> <p>p) Criteria for physical association (<strong>crit_association</strong>) and statistical metrics from <em>Gaia</em> as described in Table 3 (<strong>crit_ruwe, crit_ipd_ruwe, crit_rv, crit_rv_error, crit_ipd_fmp, crit_dupl_source, crit_non_single, crit_DR3_non_single</strong>). Orbital: Orbital model for an astrometric binary; OrbitalTargetedSearch: Orbital model for a priori known systems, with a subset containing suffix "Validated"; SB1: Single-lined spectroscopic binary; SB2: Double-lined spectroscopic binary; SB2C: Double-lined spectroscopic binary with circular orbit; AstroSpectroSB1: Combined astrometric and single lined spectroscopic orbital model.</p> <p>q) It refers to unknown unresolved binaries. That is, if an unresolved companion already exists (e.g. an spectroscopic binary), the value is "false" regardless of the criteria for unresolved binarity (Table 3).</p> <p>r) Statistics from DR3 related to the criteria for unresolved binarity: <strong>astrometric_excess_noise</strong>, <strong>astrometric_excess_noise_sig, phot_bp_rp_excess_factor, phot_bp_n_blended_transits, phot_rp_n_blended_transits, phot_variable_flag, rv_chisq_pvalue, rv_amplitude_robust, rv_nb_transits, renormalised_gof, astrometric_n_obs_al, astrometric_n_good_obs_al, ipd_gof_harmonic_amplitude, duplicated_source</strong> (see Sect. 3.2).</p> <p>s) <strong>G_BP</strong>, <strong>G</strong>, and <strong>G_RP</strong> from <em>Gaia</em> DR3 (<a href="https://ui.adsabs.harvard.edu/abs/2023A&A...674A...1G" target="_blank" rel="noopener">Gaia Collaboration et al. 2023b</a>); <strong>J</strong>, <strong>H</strong>, and <strong>Ks</strong> from 2MASS (<a href="http://adsabs.harvard.edu/abs/2006AJ....131.1163S" target="_blank" rel="noopener">Skrutskie et al. 2006</a>); <strong>W1</strong>, <strong>W2</strong>, <strong>W3</strong>, <strong>W4</strong> from AllWISE (<a href="https://ui.adsabs.harvard.edu/abs/2014yCat.2328....0C" target="_blank" rel="noopener">Cutri et al. 2014</a>). The photometric uncertainties in the <em>Gaia</em> passbands have been calculated by us ∆lambda = |-2.5 ln(10) ∆F_lambda/F_lambda|, where F_lambda and ∆F_lambda are the flux and its error in the "lambda" passband, using the errors in the corresponding fluxes, and the zero points as provided by VizieR.</p>
Water table depth dynamics and surface soil moisture content from three Scottish peatland areas (2021-2022)
<p>This compilation of datasets from three monitoring sites on peatland in Scotland includes water table depth dynamics and surface soil moisture content and covers the period 2021-2022. Further data will be added on an annual basis. This is version 2 of the dataset, which corrects a small number of data QC issues (see README).</p>
Supplementary tables for Geophysical Research Letters_2021GL096049
<p>Data associated with the publication "Significant increase of continental freeboard during the early Paleoproterozoic: Insights from metasediment-derived granites"</p>
Data from: Developmental origins of the crocodylian skull table and platyrostral face
<p>The dorsoventrally flattened skull typifies extant Crocodylia perhaps more than any other anatomical feature and is generally considered an adaptation for semi-aquatic feeding. Although the evolutionary origins have been extensively studied, the developmental origins of craniofacial flattening have yet to be explored. To understand how the skull table and platyrostral snout develop, we quantified embryonic development and post-hatching growth (ontogeny) of the crocodylian skull in lateral view using geometric morphometrics. Our dataset (n=103) includes all but one extant genus and all of the major ecomorphs, including the extremely slender-snouted <i>Gavialis</i> and <i>Tomistoma</i>. Our analysis reveals that the embryonic development of the flattened skull is remarkably similar across ecomorphs, including the presence of a conserved initial embryonic skull shape, similar to prior analysis of dorsal snout shape. Although differences during post-hatching ontogeny of the snout are recovered among ecomorphs the embryonic patterns are not distinct, revealing an important shift in developmental rate near hatching. In particular, the flattened skull table is achieved by the end of embryonic development with no changes after hatching. Further, the rotation of skull roof and facial bones during development is critical for the stereotypical flatness of the crocodylian skull. Our results suggest selection on hatchling performance and constraints on embryonic skull shape may have been important in this pattern of developmental conservation. The appearance of aspects of cranial flatness among Jurassic stem crocodylians suggests key aspects of these cranial developmental patterns may have been conserved for over 200 million years.</p>
Middle Ordovician (middle Darriwilian) Archaeospicularia and Entactinaria (radiolarians) from the Table Cove Formation, Piccadilly Quarry, western Newfoundland, Canada
<p><span><span><span><span><span><span><span><span><span><span><span>New, distinctive, well preserved and previously undescribed constituents of a Middle Ordovician (middle Darriwilian, Dw2) radiolarian assemblage from the Table Cove Formation in Newfoundland are described. Three-dimensional X-ray micro-computed tomography (μ-CT) facilitates detailed examination of key specimens revealing hitherto unknown details of the internal morphologies of key lower Paleozoic taxonomic groups amongst which a lack of knowledge has previously impeded resolution of higher taxonomic rankings. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span>Twenty-seven archaeospiculid and entactinarian taxa are described and illustrated including six new species: <i>Westernbrookia polygonata</i> n. sp., <i>Neopalaeospiculum</i> <i>piccadilliensis</i> n. sp.,<i> Ramuspiculum laxum </i>n. sp.<em> </em><i>Spongentactinia</i><i>nazarovi</i> n. sp., <i>Aspiculum</i> <i>irregulare </i>n. sp.,<i> Nyfrieslandia</i> <i>ramosissima</i> n. sp., </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span>The investigation extends the known ranges of the<em> species: </em><i>Pararcheoentactinia reedae</i> Won and Iams 2002, <i>Sphaeroentactinia robusta </i>Won, 2015, <i>Varispiculum ectospiculatum </i>Won 2015, and </span></span></span></span></span></span></span></span></span></span><i>Svalbardospiculum<em> multifurcatum (</em></i><span><span><span><span><span><span><span><span><span><span>Won, Iams and Reed) 2005, together with the genus <em>Echidnina</em><i> </i>to the mid-Darriwilian.</span></span></span></span></span></span></span></span></span></span></p>
Supplementary Table S1 (raw data) of "Filtration extraction method using microfluidic channel for measuring environmental DNA "
<p>Supplementary Table S1 (all raw data) of "Filtration extraction method using microfluidic channel for measuring environmental DNA ". Each data of the validation experiment; Experiment 1-4 was located in different sheets..</p>
Table of ToxTree Analysis
<p>Tabulation of ToxTree Analysis for Journal Article:<strong>COMPUTATIONAL EXAMINATION </strong><strong>OF FLAVONOID COMPOUNDS: UTILIZATION OF MOLECULAR SIMULATION TO DISCOVER DRUG CANDIDATE FOR COVID-19</strong></p>
Table of Molecular Docking Result
<p>Tabulation of Molecular Docking Result for Journal Article: <strong>COMPUTATIONAL EXAMINATION </strong><strong>OF FLAVONOID COMPOUNDS: UTILIZATION OF MOLECULAR SIMULATION TO DISCOVER DRUG CANDIDATE FOR COVID-19</strong></p>
Table of SwissADME Analysis of Flavonoid Compounds
<p>Tabulation of SwissADME Analysis for Journal Article: <em>In Silico Study</em> of Flavonoid Compound: Utilization of Molecular Simulation to Discover Drug Candidate for COVID-19</p>
Supplementary Table 1. Raw data of egg quality parameters for 990 egg samples with ATOL (Animal Trait Ontology for Livestock) descriptors, as function of hen age, pen no. and genotype in 15 replicates.
<p>Data table of egg quality parameters</p>
SUPPLEMENTARY TABLES: Defining the Sphagnum core microbiome across the North American continent reveals a central role for diazotrophic-methanotrophs in the nitrogen and carbon cycles of boreal peatland ecosystems
<p>Peat mosses of the genus <em>Sphagnum</em> are ecosystem engineers that frequently predominate over photosynthetic production in boreal peatlands. <em>Sphagnum</em> spp. host diverse microbial communities capable of nitrogen-fixation (diazotrophy) and methane oxidation (methanotrophy), thereby potentially supporting plant growth under severely nutrient-limited conditions. Moreover, diazotrophic-methanotrophs represent a possible "missing link" between the carbon and nitrogen cycles, but the functional contributions of the <em>Sphagnum</em>-associated microbiome remain in question<em>.</em> A combination of metagenomics, metatranscriptomics, and dual-isotope incorporation assays was applied to investigate <em>Sphagnum</em> microbiome community composition across the North American continent and provide empirical evidence for diazotrophic-methanotrophy in <em>Sphagnum</em>-dominated ecosystems. Remarkably consistent prokaryotic communities were detected in over 250 <em>Sphagnum</em> SSU rRNA libraries from peatlands across the US (5 states, 17 bog/fen sites, 18 <em>Sphagnum</em> species), with twelve genera of the core microbiome comprising 60% of the relative microbial abundance. Additionally, nitrogenase (<em>nifH</em>) and SSU rRNA gene amplicon analysis revealed that nitrogen-fixing populations made up nearly 15% of the prokaryotic communities, predominated by <em>Nostocales</em> cyanobacteria and <em>Rhizobiales</em> methanotrophs. While cyanobacteria comprised the vast majority (>95%) of diazotrophs detected in amplicon and metagenome analyses, obligate methanotrophs of the genus <em>Methyloferula</em> (order <em>Rhizobiales</em>) accounted for one-quarter of transcribed <em>nifH</em> genes. Furthermore, in dual-isotope tracer experiments, members of the <em>Rhizobiales</em> showed substantial incorporation of <sup>13</sup>C-CH<sub>4</sub> and <sup>15</sup>N-N<sub>2</sub> isotopes into their rRNA. Our study characterizes the core <em>Sphagnum</em> microbiome across large spatial scales and indicates that diazotrophic methanotrophs, here defined as obligate methanotrophs of the rare biosphere (<em>Methyloferula</em> spp. of the <em>Rhizobiales</em>) that also carry out diazotrophy, play a keystone role in coupling of the carbon and nitrogen cycles in nutrient-poor peatlands.</p>
Combined Article Tables & Figures
<p>This spreadsheet includes all the tables and figures presented in the paper: "Selected ‘Starter kit’ energy system modelling data for selected countries in Africa, East Asia, and South America (#CCG, 2021)"</p>
Supplementary dataset and tables for "Carbon-negative production of acetone and isopropanol by gas fermentation at industrial pilot scale"
<p><strong>Supplementary dataset and tables for "Carbon-negative production of acetone and isopropanol by gas fermentation at industrial pilot scale"</strong></p> <p><strong>Supplementary Dataset and Tables</strong> listing identified acetone biosynthesis genes from mining of the DJ collection and gene and part sequences used for combinatorial library and cell-free prototyping (<strong>Supplementary Tab. 1</strong>), combinatorial library combinations and results (<strong>Supplementary Tab. 2</strong>), gene KO predictions (<strong>Supplementary Tab. 3</strong>), cell-free prototyping combinations and results (<strong>Supplementary Tab. 4</strong>), proteomics results for wild-type strain plus acetone biosynthesis plasmid (<strong>Supplementary Tab. 5</strong>), proteomics results for strain Δ<em>0553</em> plus select combinatorial library plasmids (<strong>Supplementary Tab. 6</strong>), Genbank accession numbers for 272 genomes (<strong>Supplementary Tab. 7</strong>). sequences of oligonucleotides (<strong>Supplementary Tab. 8</strong>) and emission factors used to calculate the GHG emissions of acetone (<strong>Supplementary Tab. 9</strong>) and IPA (<strong>Supplementary Tab. 10</strong>) in LCA.</p>
Supporting code, tables and data for: Megafrugivores as fading shadows of the past: Extant frugivores and the abiotic environment as the most important determinants of the distribution of palms in Madagascar
<p>The extinction of all Madagascar's megafrugivores ca. 1000 years ago, may have left its signature on the current distribution of vertebrate-dispersed plants across the island, due to the loss of effective seed dispersal. In this study, we dissect the roles of extinct and extant frugivore distributions, abiotic variables, human impact and spatial predictors on the compositional turnover, or beta-diversity, of palm (Arecaceae) species and their fruit sizes across 40 assemblages on Madagascar. Variation partitioning showed that palm beta-diversity is mostly shaped by the distribution of extant frugivores (8 lemur, 3 bird, 2 rodent and 1 bat species) and the abiotic environment (e.g., forest cover, slope and temperature), and to a lesser extent by the distribution of extinct frugivores (5 giant lemur and 3 elephant bird<i> </i>species)<i>. </i>However, the contribution of these variables differed between dry western assemblages and wet eastern assemblages, with a more prominent role, albeit still small, of extinct megafrugivores in the west. These results suggest that palm distributions in the dry west of Madagascar, where megafrugivores were probably most abundant in the past, still show signatures of past interactions. With a fourth-corner analysis we observed that the distribution of palm species with relatively large fruits and seeds was negatively associated with home range of extant mammalian frugivores and frugivore richness of both past and extant communities, and positively associated with the hand-wing index (HWI) – a proxy for dispersal ability - of extant bird communities. This suggests that palm species with relatively large fruits tend to occur in places with fewer, small-ranged mammalian frugivores, which may indicate dysfunctional seed dispersal, although a few wide-ranging bird species may compensate this loss by dispersing the seeds of small-to medium-sized palm fruits. Our results shed new light on anachronisms in Madagascar, and how defaunation and past interactions may underlie current plant distributions.</p>
Tables S1 and S2. Structural Diversity, Biosynthesis, and Function of Plant Falcarin-type Polyactylenic Lipids
<p>Table S1. Compounds and structures used to generate structural similarity network in Figure 2.</p> <p>Table S2. List of functional FAD2s used to generate Figures 4 and 5.</p>
No evidence for trade-offs between bird diversity, yield and water table depth on oil palm smallholdings: implications for tropical peatland landscape restoration
<p>Tropical peat swamp forests retain large carbon stocks and support unique biodiversity, but clearance and drainage for agriculture have resulted in fires, carbon emissions and biodiversity losses. Initiatives to re-wet cultivated peatlands may benefit biodiversity if this protects remaining forests from fire and agricultural encroachment, but there are concerns that re-wetting could reduce yields and damage livelihoods, as relationships between drainage, on-farm biodiversity, and crop yields have not been studied.</p> <p>We examined oil palm fruit yields and bird diversity on 41 smallholder farms in Jambi (Sumatra, Indonesia), which varied in drainage intensity (12-month mean water table per plot from August 2018 to August 2019: -52 to -3 cm below ground). We also compared farm bird diversity with a neighbouring area of protected forest (11,000 ha, 21 plots; mean water table per plot -3 to +15 cm).</p> <p>Bird species richness (3-18 species per plot), species composition, and oil palm yields (4.5-19.2 t fresh fruit bunch ha-1 yr-1) varied among farms, but were not detectably affected by water table depth, although ground-level vegetation was more complex on wetter farms. Bird richness in oil palm (mean = 10.3 species per plot) was <50% of that in forest (26 species per plot), and only three out of 35 conservation-priority species found in forest were recorded in oil palm.</p> <p>Synthesis & applications: Tropical peatlands in Indonesia have been drained to allow farmer access and improve farm yields, but we found no trade-offs between drainage depth, yields or bird diversity on smallholder oil palm farms in our study landscape. Current restoration initiatives to re-wet peat may benefit farmers by reducing fire risk, without affecting yields. Wetter farms had increased understorey vegetation complexity, but this did not affect bird diversity, so we find no evidence that re-wetting improves on-farm biodiversity within the studied range of drainage depths. However, on-farm fire reduction efforts in cultivated peatlands, including re-wetting, will be vital for reducing the risk of fires escaping into nearby forests, which contain unique and diverse bird species assemblages. Protection of remaining peatland forests from fire and clearance is key for biodiversity conservation, and for providing a source of seed dispersers and genetic material for future forest and landscape restoration efforts. Restoration of more biodiversity-friendly land covers will improve landscape permeability and help conserve species and the ecosystem services they deliver.</p>
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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.