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179 results for “coconut”
MAR2PROTECT - Coconut shell derived activated carbon for effective separation of greenhouse gases - DATASET
<p>The need for innovative and efficient adsorptive materials with enhanced structural characteristics that facilitate the selective capture of greenhouse gases (GHGs) is critical. Porosity and surface area play an important role in the adsorptive capture and separation of GHGs, enabling the design of processes that reduce GHGs emissions. This study shows how residual coconut shell (CS) biomass can be reused for the design of novel biomaterials (CS-CO<sub>2</sub>, CS-ZnCl<sub>2</sub>) with structural characteristics that promote the selective adsorption of GHGs. Additionally, the results are compared with those obtained with activated carbon monoliths (ACM) and a Metal-Organic Framework (MOF Fe-BTC) to understand the impact of different porous solid matrices on adsorptive GHG capture. In this context, the adsorption performance of difluoromethane (R-32), pentafluoroethane (R-125), 1,1,1,1-tetrafluoroethane (R-134a), 1,1,1,1-trifluoroethane (R-143a), carbon dioxide (CO<sub>2</sub>), and methane (CH<sub>4</sub>) on CS-CO<sub>2</sub>, CS-ZnCl<sub>2</sub>, ACM and Fe-BTC were measured by gravimetry at 283.15 K, 303.15 K and 323.15 K. The experimental data are correlated using the dual-site Langmuir adsorption model, and the selectivities of the commercial mixtures R-410A, R-407C, R-404A and CO<sub>2</sub>/CH<sub>4</sub> are calculated using the Ideal Adsorption Solution theory (IAST). CS-ZnCl<sub>2</sub> has a higher selectivity for R-125 over R-32 in the separation of R-410A at low pressure, and also a higher selectivity for R-407C due to its larger pore volume. In the separation of the R-404A refrigerant blend, CS-CO<sub>2</sub> adsorbs predominantly R-134a and R-143a over R-125. Finally, the ACM material preferentially adsorbs CO<sub>2</sub> over CH<sub>4</sub>, owing to its large and elongated micropores that favour the adsorption of the smaller molecule. This study introduces novel and innovative materials to enhance the separation of GHGs mixtures, contributing to a reduction in their emissions.</p>
COCONUT: the COlleCtion of Open NatUral producTs.
<p>COCONUT is a COlleCtion of Open NatUral producTs.</p> <p> </p> <p>The database is now available at <a href="https://coconut.naturalproducts.net/">coconut.naturalproducts.net</a>, where the latest updates will appear before being available here.</p> <p>To assemble COCONUT, data from 55 open access collections and databases of natural products was retrieved and curated.</p> <p>This archive contains two files:</p> <ul> <li>The MongoDB dump, the most complete version of the dataset, with extensive molecular annotations</li> <li>The COCONUT4MetFrag file, used for <a href="https://msbi.ipb-halle.de/MetFrag/">MetFrag</a>. The last version of COCONUT4MetFrag is in the file "COCONUT4MetFrag_april.csv"</li> <li>The COCONUT.sdf file containing all unique NP molecules with selected metadata</li> </ul> <p>To restore the dataset in MongoDB:</p> <pre><code class="language-bash">unzip COCONUT_2021_03.zip cd COCONUT_2021_03/COCONUT_2021_03/ mongorestore --db=COCONUT --noIndexRestore . </code></pre> <p>It is generally useful to avoid restoring indexes, as they can interfere with the local installation. Here are the commands to rebuild indexes:</p> <pre><code class="language-json">mongo use COCONUT db.sourceNaturalProduct.createIndex( {source:1}) db.sourceNaturalProduct.createIndex( {simpleInchi:"hashed"}) db.sourceNaturalProduct.createIndex( {simpleInchiKey:1}) db.sourceNaturalProduct.createIndex( {originalInchiKey:1}) db.sourceNaturalProduct.createIndex( {originalSmiles:"hashed"}) db.sourceNaturalProduct.createIndex( {absoluteSmiles:"hashed"}) db.sourceNaturalProduct.createIndex( {idInSource:1}) db.uniqueNaturalProduct.createIndex( {inchi:"hashed"}) db.uniqueNaturalProduct.createIndex( {inchikey:1}) db.uniqueNaturalProduct.createIndex( {clean_smiles: "hashed"}) db.uniqueNaturalProduct.createIndex( {molecular_formula:1}) db.uniqueNaturalProduct.createIndex( {name:1}) db.uniqueNaturalProduct.createIndex( {coconut_id:1}) db.uniqueNaturalProduct.createIndex( {fragmentsWithSugar:"hashed"}) db.uniqueNaturalProduct.createIndex( {fragments:"hashed"}) db.fragment.createIndex({signature:1}) db.fragment.createIndex({signature:1, withsugar:-1}) db.sourceNaturalProduct.createIndex( {source:1}) db.sourceNaturalProduct.createIndex( {simpleInchi:"hashed"}) db.sourceNaturalProduct.createIndex( {simpleInchiKey:1}) db.sourceNaturalProduct.createIndex( {originalInchiKey:1}) db.sourceNaturalProduct.createIndex( {originalSmiles:"hashed"}) db.sourceNaturalProduct.createIndex( {absoluteSmiles:"hashed"}) db.sourceNaturalProduct.createIndex( {idInSource:1}) db.uniqueNaturalProduct.createIndex( {inchi:"hashed"}) db.uniqueNaturalProduct.createIndex( {inchikey:1}) db.uniqueNaturalProduct.createIndex( {clean_smiles: "hashed"}) db.uniqueNaturalProduct.createIndex( {molecular_formula:1}) db.uniqueNaturalProduct.createIndex( {name:1}) db.uniqueNaturalProduct.createIndex( {coconut_id:1}) db.uniqueNaturalProduct.createIndex( {fragmentsWithSugar:"hashed"}) db.uniqueNaturalProduct.createIndex( {fragments:"hashed"}) db.fragment.createIndex({signature:1}) db.fragment.createIndex({signature:1, withsugar:-1}) </code></pre> <p><br> <strong>This version of COCONUT is beta and will be curated further, but can already be used as it is.</strong></p>
Native tree growth and reproduction in response to reduction in the coconut palm (Cocos nucifera) canopy at Palmyra Atoll
These data describe competition for light (open solar path) between introduced coconut palm trees (Cocos nucifera) and native tree species between 2004 and 2008 at Palmyra Atoll, Northern Line Islands, Pacific Ocean. Data are contained in one table, including values from the start, end, and intermediate samples. The dataset measures the change in tree growth (DBH and height) and reproductive potential (flower and fruit production) in relation to time and open solar path value. Two treatments are considered: OSP values less than 50% created by C. nucifera removal, and OSP values greater than 50%.
NPClassifier predictions of COCONUT compounds
<p>Class predictions as returned by NPClassifier of COCONUT compounds.</p> <p>Used NPClassifier between 2024.01.03~2024.01.15. Used COCONUT version 2022.01.01</p> <p> </p> <p> </p> <p>References:</p> <ol> <li>Kim, H. W. et al. NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Products. J. Nat. Prod. 84, 2795–2807 (2021). 10.1021/acs.jnatprod.1c00399</li> <li>Sorokina, M., Merseburger, P., Rajan, K., Yirik, M. A. & Steinbeck, C. COCONUT online: Collection of Open Natural Products database. J. Cheminformatics 13, 2 (2021). https://doi.org/10.1186/s13321-020-00478-9 <p> </p> </li> </ol>
Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery
<p>Damage estimation status of coconut trees plantation in the Phillippines derived from Sentinel-2 Imagery. Overall we estimated that 14.1 M coconut trees were affected by the typhoon inside our area of study. Please refer to our <a href="https://www.mdpi.com/2072-4292/13/21/4302">original</a> publication for more details.</p> <p>0: Uncertain</p> <p>1: No Data</p> <p>2: Background class</p> <p>3: Unchanged coconut plantation</p> <p>4: Damaged coconut plantation</p> <p>5: New coconut plantation</p> <p> </p> <p> </p> <p> </p>
COCONUT Database January2022 version CSV
<p>This is a COCONUT dump in the form of CSV format, converted from the SDF file available on the COCONUT website. </p>
Fig. 8 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 8. Birgus latro (Linnaeus, 1767) in its natural habitat on Christmas Island in the Indian Ocean. A, feeding on fruit trees; B, feeding on coconuts. Photographs by Max Orchard.
Fig. 7 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 7. Threats to Birgus latro (Linnaeus, 1767) while crossing roads during breeding season migrations on Christmas Island in the Indian Ocean. A, cannibalism by coconut crabs; B, crab and vehicle in close proximity; C, recording each road kill incident; D, warning to motorists. Photographs by Max Orchard.
Fig. 10 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 10. Conservation actions for Birgus latro (Linnaeus, 1767) in Okinawa and Kagoshima Prefectures, Japan. A, the location of Okinawa and Kagoshima Prefectures. The collection of coconut crabs is regulated by legal protective ordinances in the entire Kagoshima Prefecture. B, detail of Okinawa Prefecture showing the islands where the collection of coconut crabs is regulated by legal protective ordinances, shown in red ovals (Tarama Village, Miyakojima City, and Ishigaki City). Islands shown in black ovals (Yonaguni Village, Taketoni Town, and Okinawa Island and its associated islands) do not have protective ordinances for coconut crabs.
Fig. 5 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 5. Life stages of Birgus latro (Linnaeus, 1767) on Christmas Island in the Indian Ocean. A, juvenile crab with pleon inside small snail shell; B, juvenile with pleon inside larger shell of African giant snail (an introduced species); C, young subadult with hardened pleon that had recently cast off its snail shell. Photographs by Max Orchard.
Fig. 6 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 6. Birgus latro (Linnaeus, 1767) in its natural habitat on Christmas Island in the Indian Ocean. A, two adults mating; B, gravid female carrying eggs; C, female releasing eggs into the sea. Photographs by Max Orchard.
Fig. 9 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 9. Threats to Birgus latro (Linnaeus, 1767) on Christmas Island (Indian Ocean) from aggressive, invasive yellow crazy ants (Anoplolepis gracilipes). A, ants attacking the arthrodial membranes between peg articles; B, ants attacking the eyestalks; C, ants swarming on the body of a coconut crab. Photographs by Max Orchard. These images were kindly provided by Atara Film GmbH / NDR Doclights, from the film "Realm of the Robber Crab".
Fig. 4 in Troubled giants: The updated conservation status of the coconut crab (Birgus latro)
Fig. 4. Updated localities where Birgus latro (Linnaeus, 1767) is either extirpated (red, darkest circles) or its continued existence is uncertain (yellow, lightest circles). Note that the scale of the map may imply a wider area of extirpation than is actually known, so reference to the text and Table 3 is recommended to see the exact localities where extirpation is suspected.
Planteome/CO_326-coconut-traits: CO_326-coconut-traits
<p>Coconut Ontology v1.0 - Coconut trait dictionary started by CIRAD, based on the "Guidelines for collecting coconut germplasm characterisation data during prospecting missions", COGENT (to be published); the "Descriptors for Coconut, (Cocos nucifera L.)", IPGRI (1995); and the "Manual on standardized research techniques in coconut breeding", IPGRI (1996).</p>
Fig. 1 in Predation of eggs of Lincus lobuliger Breddin (Hemiptera: Pentatomidae) on coconut trees by Hololepta (Leionota) quadridentada (Olivier) (Coleoptera: Histeridae)
Fig. 1. Adult of Lincus lobuliger (Breddin, 1908) (Hemiptera: Pentatomidae: Discocephalinae) found in ValenÇa, southern Bahia State, Brazil. Photo by Henri Pierre Aberlenc.
Fig. 2 in Predation of eggs of Lincus lobuliger Breddin (Hemiptera: Pentatomidae) on coconut trees by Hololepta (Leionota) quadridentada (Olivier) (Coleoptera: Histeridae)
Fig. 2. Male of Hololepta (Leionata) quadridentada (Olivier, 1789): (A) dorsal view; (B) ventral view. Scale: 2 mm. Photo by Fernando Willyan Trevisan Leivas.
Figure 1. The white coconut scale, Parlagena bennetti. A in New distribution and host records for white coconut scale, Parlagena bennetti Williams (Hemiptera: Diaspididae)
Figure 1. The white coconut scale, Parlagena bennetti. A). Infesting coconut fruits. B). Close-up of insects infesting fruit. C). Typical infestation on leaves. Photographs by T. Kondo, Palmira, Colombia.
Figure 2. A in New distribution and host records for white coconut scale, Parlagena bennetti Williams (Hemiptera: Diaspididae)
Figure 2. A). Auto-montage photomicrograph of an adult female of Parlagena bennetti from Venezuela, Lara, Barquisimeto. Photomicrograph by G.W. Watson, California Department of Food & Agriculture. B). Illustration of body and details of the pygidium (after Williams 1969).
High-resolution global map of closed-canopy coconut palm
<p>The file ‘GlobalCoconutLayer_2020_v1-2.zip’ contains 878 raster tiles of 100x100 km in geotiff format. The raster files are the result of a convolutional neural network that classified Sentinel-1 and Sentinel-2 annual composites into a coconut palm layer for the year 2020. The images have a spatial resolution of 20 meters and contain two classes: <br> [0] Other land covers that are not coconut palm.<br> [1] Coconut palm.</p> <p>The file ‘GlobalCoconutLayer_2020_densityMap_1km_v1-2.zip’ contains the 20-meter coconut palm classification aggregated to 1 km. The value of each pixel represents the coconut palm area (in squared meters) within the 1-km pixel. </p> <p>The file ‘Validation_points_GlobalCoconutLayer_2020_v1-2.shp’ includes the 10,200 points that were used to validate the product. Each point includes the attribute ‘Class’, which is the class assigned by visual interpretation of sub-meter resolution images, and the attribute ‘predClass’, which reflects the predicted class by the convolutional neural network. The ‘predClass’ values are the same as the raster files:<br> [0] Other land covers that are not coconut palm.<br> [1] Coconut palm.<br> The attribute ‘Class’ contains the following values: <br> [0] Land cover could not be determined because sub-meter resolution data was not available.<br> [1] Other land covers that are not coconut palm.<br> [2] Sparse coconut palm. Low density of coconut palms; between 1 and 4 coconut palms within the 20-meter pixel.<br> [3] Dense open-canopy coconut palm; more than 4 coconut palms within the 20-meter pixel but coconut trees do not reach the full canopy closure. <br> [4] Closed -canopy coconut palm; more than 4 coconut palms within the 20-meter pixel and coconut palms fully cover the ground.<br> [5] Palm species that are not coconut palm.</p> <p> </p> <p>Changelog v1-2:</p> <p>- Pixels classified as class ‘coconut’ were reclassified to class ‘other’ in West Bengal.</p>
Figure 3 in Effects of Ultraviolet Light and Pheromone Release Rate in Trapping Coconut Rhinoceros Beetles, Oryctes rhinoceros (Coleoptera: Scarabaeidae), on Guam
Figure 3. Capture rates (mean ± SE) of beetle caught in double-vaned bucket. UV = trap equipped with UV LED diodes, RL = trap with reduced release rate of oryctalure, SL = trap with standard release rate of oryctalure. Comparisons of mean trap capture between traps with and without UV light and between traps with different oryctalure release rates are shown at right. Bars with different letters indicate significantly different means (UV light: t-test, Lure: ANOVA, Tukey's HSD).
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