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7,883 results for “Tropic”
Myrmecophilous Pselaphine beetles in tropical forests
<b>Description: </b><p>This data set includes taxanomic and abunance data for Pselaphinae beetles and ants collected in the leaf litter across Primary and logged forests sites. Selected environemntal variables (soil temperature, soil moisture and canopy cover) were also recorded at each sample site. </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/46"><b>The Maliau Quantitative Inventory</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=180">here</a></p><p><b>Files: </b>This consists of 1 file: Psomas_Ant_Pselaphine_SAFE_dataset.xlsx</p><p><b>Psomas_Ant_Pselaphine_SAFE_dataset.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>EnvironVariables</b> (described in worksheet EnvironVariables)</p><p>Description: Environmental variables</p><p>Number of fields: 4</p><p>Number of data rows: 20</p><p>Fields: </p><ul><li><b>Site</b>: Site of measurements (Field type: Location)</li><li><b>Temp</b>: Soil temperature (Field type: Numeric)</li><li><b>Moisture</b>: Soil moisture (Field type: Numeric)</li><li><b>Cover</b>: Canopy cover (Field type: Numeric)</li></ul></li><li><p><b>Ant-Psel</b> (described in worksheet Ant-Psel)</p><p>Description: Ant-Pselaphine data</p><p>Number of fields: 3</p><p>Number of data rows: 20</p><p>Fields: </p><ul><li><b>Site</b>: Site where sample was collected (Field type: Location)</li><li><b>ant species richness</b>: Number of ant species in sample (Field type: Numeric)</li><li><b>ant abundance</b>: Total number of ants in sample (Field type: Abundance)</li></ul></li><li><p><b>MorphAbundance</b> (described in worksheet MorphAbundance)</p><p>Description: Morphospeices abundance</p><p>Number of fields: 43</p><p>Number of data rows: 20</p><p>Fields: </p><ul><li><b>Site</b>: Site where specimens were collected (Field type: Location)</li><li><b>Psel1</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel2</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel3</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel4</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel5</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel6</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel7</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel8</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel9</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel10</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel11</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel12</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel13</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel14</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel15</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel16</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel17</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel18</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel19</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel20</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel21</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel22</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel23</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel24</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel25</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel26</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel27</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel28</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel29</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel30</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel31</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel32</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel33</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel34</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel35</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel36</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel37</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel38</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel39</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel40</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel41</b>: Number of individuals collected (Field type: Abundance)</li><li><b>Psel42</b>: Number of individuals collected (Field type: Abundance)</li></ul></li><li><p><b>MorphFunctTraits</b> (described in worksheet MorphFunctTraits)</p><p>Description: Morphospecies_Functional Traits</p><p>Number of fields: 17</p><p>Number of data rows: 42</p><p>Fields: </p><ul><li><b>Morphospecies</b>: Morphospecies identity (Field type: Taxa)</li><li><b>AL</b>: Antennae length (Field type: Numeric Trait)</li><li><b>TAL</b>: Termianl antennomere length (Field type: Numeric Trait)</li><li><b>TAW</b>: Termianl antennomere width (Field type: Numeric Trait)</li><li><b>AN</b>: Antennomere number (Field type: Numeric Trait)</li><li><b>HCA</b>: Hollow cavity absent in terminal antennomere (Field type: Categorical Trait)</li><li><b>HCP</b>: Hollow cavity present in terminal antennomere (Field type: Categorical Trait)</li><li><b>TA</b>: Trichomes absent (Field type: Categorical Trait)</li><li><b>TP</b>: Trichomes present (Field type: Categorical Trait)</li><li><b>FP</b>: Foveae present (Field type: Categorical Trait)</li><li><b>FA</b>: Foveae absent (Field type: Categorical Trait)</li><li><b>Bef2</b>: Basal elytral foveae, two set (Field type: Categorical Trait)</li><li><b>Bef3</b>: Basal elytral fovea, thee set (Field type: Categorical Trait)</li><li><b>Bef1</b>: Basal elytral foveae, one set (Field type: Categorical Trait)</li><li><b>Bef0</b>: Basal elytral foveae, no set (Field type: Categorical Trait)</li><li><b>Bef4</b>: Basal elyral fovea, four set (Field type: Categorical Trait)</li><li><b>Myrmycophile</b>: Myrmecophily status (Field type: Categorical Trait)</li></ul></li></ol><p><b>Date range: </b>2012-09-01 to 2012-10-31</p><p><b>Latitudinal extent: </b>4.6922 to 4.9702</p><p><b>Longitudinal extent: </b>116.9669 to 117.7981</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Coleoptera<br> -  -  -  - Pselaphidae<br> -  -  -  -  - [Psel1]<br> -  -  -  -  - [Psel10]<br> -  -  -  -  - [Psel15]<br> -  -  -  -  - [Psel17]<br> -  -  -  -  - [Psel28]<br> -  -  -  -  - [Psel29]<br> -  -  -  -  - [Psel30]<br> -  -  -  -  - [Psel33]<br> -  -  -  -  - [Psel35]<br> -  -  -  -  - [Psel41]<br> -  -  -  -  - [Psel9]<br> -  -  -  - Staphylinidae<br> -  -  -  -  - <i>Apharinodes</i><br> -  -  -  -  -  - [Psel13]<br> -  -  -  -  -  - [Psel37]<br> -  -  -  -  - <i>Aphilia</i><br> -  -  -  -  -  - [Psel12]<br> -  -  -  -  -  - [Psel38]<br> -  -  -  -  - <i>Batraxis</i><br> -  -  -  -  -  - [Psel31]<br> -  -  -  -  -  - [Psel39]<br> -  -  -  -  - <i>Bibloporus</i><br> -  -  -  -  -  - [Psel2]<br> -  -  -  -  - <i>Cerylambus</i><br> -  -  -  -  -  - [Psel27]<br> -  -  -  -  - <i>Cratna</i><br> -  -  -  -  -  - [Psel16]<br> -  -  -  -  -  - [Psel19]<br> -  -  -  -  -  - [Psel32]<br> -  -  -  -  - <i>Curculionellus</i><br> -  -  -  -  -  - [Psel26]<br> -  -  -  -  - <i>Diaugis</i><br> -  -  -  -  -  - [Psel42]<br> -  -  -  -  - <i>Enantius</i><br> -  -  -  -  -  - [Psel36]<br> -  -  -  -  - <i>Harmophorus</i><br> -  -  -  -  -  - [Psel4]<br> -  -  -  -  - <i>Mechanicus</i><br> -  -  -  -  -  - [Psel14]<br> -  -  -  -  -  - [Psel34]<br> -  -  -  -  -  - [Psel40]<br> -  -  -  -  -  - [Psel7]<br> -  -  -  -  - <i>Mnia</i><br> -  -  -  -  -  - [Psel11]<br> -  -  -  -  -  - [Psel18]<br> -  -  -  -  - <i>Plagiophorus</i><br> -  -  -  -  -  - [Psel20]<br> -  -  -  -  -  - [Psel22]<br> -  -  -  -  -  - [Psel3]<br> -  -  -  -  -  - [Psel6]<br> -  -  -  -  -  - [Psel8]<br> -  -  -  -  - <i>Pselaphodes</i><br> -  -  -  -  -  - [Psel21]<br> -  -  -  -  -  - [Psel25]<br> -  -  -  -  - <i>Pseudacerus</i><br> -  -  -  -  -  - [Psel23]<br> -  -  -  -  - <i>Pseudophanias</i><br> -  -  -  -  -  - [Psel5]<br> -  -  -  -  - <i>Sathytes</i><br> -  -  -  -  -  - [Psel24]<br> -  -  - Hymenoptera<br> -  -  -  - Formicidae<br></div><p></p>
Dataset — Revealing the hierarchy of processes and time scales that control the tropic response of shoots to gravi-stimulations
<p>Dataset and python notebook used to produce the figures in the article "Revealing the hierarchy of processes and time scales that control the tropic response of shoots to gravi-stimulations" submited to JexpBot.</p> <p>You can interact directly with the data and python notebook using Binder!</p> <p><a href="https://mybinder.org/v2/git/https%3A%2F%2Fframagit.org%2Fhchauvet%2FDataset_Chauvet-et-Al19/62e33bc0963005fb1483788aa525e92563a6fd16?filepath=Description.ipynb"> Interact with data in Binder</a></p> <p> </p> <p> </p> <p><strong>Data are also in a git repository:</strong></p> <p><a href="https://framagit.org/hchauvet/Dataset_Chauvet-et-Al19">https://framagit.org/hchauvet/Dataset_Chauvet-et-Al19</a></p>
Un uso diferente de los productos del bosque tropical: la talla y pintura de semillas de palma por parte de los emberá panameños - A different use of tropical forest products: Carving and painting of palm seeds by the Panamanian Emberá
<p><strong>Resumen</strong></p> <p>Los emberá son una etnia panameña cuya producción incluye semillas talladas de palma tagua (<em>Phytelephas seemannii</em>). No se ha publicado ninguna descripción detallada de estas tallas, por lo que aquí las describo con base en 826 tallas a la venta en internet. La mayoría son de tipo realista y representan ranas, seguidas numéricamente de colibríes, jaguares, "geckos" y pericos. Los invertebrados, las flores y los humanos son escasos. Normalmente cada semilla representa un solo individuo y muy pocas muestran algún comportamiento propio de la especie. Los colores dominantes son café y amarillo; seguidos de verde y el color natural de la semilla. Los precios van desde $25 a $45 pero las esculturas complejas pueden superar los $100. Por su representación realista de animales individuales en las semillas, los emberá panameños han desarrollado un aporte cultural que difiere de las tallas grandes y estilizadas que se hacen en otros lugares del mundo, con potencial para uso sostenible del bosque lluvioso.</p> <p><strong>Abstract</strong></p> <p>The Emberá are a Panamanian ethnic group whose products include carved and painted Tagua palm seeds (<em>Phytelephas seemannii</em>). There are no detailed descriptions of these carved seeds, so here I describe the carvings, based on 826 carved seeds offered for sale on-line. Most are realistic and represent frogs, followed by hummingbirds, jaguars, geckos and parakeets. Invertebrates, flowers and humans are rare. Usually each seed represents a single individual; few represent the animal’s behavior. The dominant colors are brown and yellow, followed by green and the natural color of the seed. Prices range from $ 25 to $ 45 but complex sculptures can exceed $ 100. With their realistic representation of individual animals in the seeds, Panamanian emberá have developed a cultural product that differs from large and stylized Tagua sculptures made elsewhere and that has potential for a sustainable use of the rainforest.</p> <p> </p>
Movement patterns of invertebrates in tropical rainforest
<b>Description: </b><p>Community Data for directional malaise trapping across and along rivers from around the SAFE landscape</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/20"><b>Movement patterns of invertebrates in tropical rainforest</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=266">here</a></p><p><b>Files: </b>This consists of 1 file: Invert_Movement_Dataset_JW.xlsx</p><p><b>Invert_Movement_Dataset_JW.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Community Data for directional malaise trapping</b> (described in worksheet DF)</p><p>Description: Community Data for directional malaise trapping above rivers</p><p>Number of fields: 60</p><p>Number of data rows: 82</p><p>Fields: </p><ul><li><b>SAFESiteCode</b>: location code (Field type: Location)</li><li><b>Orientation</b>: trap orientation (Field type: Categorical)</li><li><b>Date_Out</b>: trap set date (Field type: Date)</li><li><b>Date_In</b>: trap collection date (Field type: Date)</li><li><b>Width_River_Along</b>: width of river at along trap (Field type: Numeric)</li><li><b>Width_River_Across</b>: width of river at across trap (Field type: Numeric)</li><li><b>Width_River_Middle</b>: width of river at the midpoint between the traps (Field type: Numeric)</li><li><b>Width_River_Average</b>: average river width (of three previous columns) (Field type: Numeric)</li><li><b>Height_Along</b>: height of across trap above the river (Field type: Numeric)</li><li><b>Height_Across</b>: height of along trap above the river (Field type: Numeric)</li><li><b>Rainfall</b>: rainfall collected (Field type: Numeric)</li><li><b>Forest_Type</b>: Surrounding forest type (Field type: Categorical)</li><li><b>Canopy_Across_L</b>: canopy cover (% from densiometer) on the left side (facing upstream) of the across trap (Field type: Numeric)</li><li><b>Canopy_Across_R</b>: canopy cover (% from densiometer) on the right side (facing upstream) of the across trap (Field type: Numeric)</li><li><b>Canopy_Across_LR</b>: average canopy cover (% from densiometer) on the left and right sides (facing upstream) of the across trap (Field type: Numeric)</li><li><b>Canopy_Across_River</b>: canopy cover (% from densiometer) above the river at the across trap (Field type: Numeric)</li><li><b>Canopy_Along_L</b>: canopy cover (% from densiometer) on the left side (facing upstream) of the along trap (Field type: Numeric)</li><li><b>Canopy_Along_R</b>: canopy cover (% from densiometer) on the right side (facing upstream) of the along trap (Field type: Numeric)</li><li><b>Canopy_Along_LR</b>: average canopy cover (% from densiometer) on the left and right sides (facing upstream) of the along trap (Field type: Numeric)</li><li><b>Canopy_Along_River</b>: canopy cover (% from densiometer) above the river at the along trap (Field type: Numeric)</li><li><b>Canopy_Middle_L</b>: canopy cover (% from densiometer) on the left side (facing upstream) of the midpoint between traps (Field type: Numeric)</li><li><b>Canopy_Middle_R</b>: canopy cover (% from densiometer) on the right side (facing upstream) of the midpoint between traps (Field type: Numeric)</li><li><b>Canopy_Middle_LR</b>: average canopy cover (% from densiometer) on the left and right sides (facing upstream) of the midpoint between traps (Field type: Numeric)</li><li><b>Canopy_Middle_River</b>: canopy cover (% from densiometer) above the river at the midpoint between traps (Field type: Numeric)</li><li><b>Canopy_Average_L</b>: left bank canopycover average (% from densiometer) (Field type: Numeric)</li><li><b>Canopy_Average_R</b>: right bank canopycover average (% from densiometer) (Field type: Numeric)</li><li><b>Canopy_Average_LR</b>: both banks canopycover average (% from densiometer) (Field type: Numeric)</li><li><b>Canopy_Average_River</b>: river canopycover average (% from densiometer) (Field type: Numeric)</li><li><b>Basal_Area_Across_L</b>: across trap, left bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Across_R</b>: across trap, right bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Across</b>: across trap, average of both banks, tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Along_L</b>: along trap, left bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Along_R</b>: along trap, right bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Along</b>: along trap, average of both banks, tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Middle_L</b>: midpoint, left bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Middle_R</b>: midpoint, right bank (looking upriver), tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area_Middle</b>: midpoint,both banks, tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Basal_Area</b>: average tree basal area (relascope and angle point method) (Field type: Numeric)</li><li><b>Eph_Ab</b>: Ephemeroptera (Field type: Abundance)</li><li><b>Odo_Ab</b>: Odonata (Field type: Abundance)</li><li><b>Ple_Ab</b>: Plecoptera (Field type: Abundance)</li><li><b>Ort_Ab</b>: Orthoptera (Field type: Abundance)</li><li><b>Der_Ab</b>: Dermaptera (Field type: Abundance)</li><li><b>Dic_Ab</b>: Blattodea (Field type: Abundance)</li><li><b>Iso_Ab</b>: Isoptera (Field type: Abundance)</li><li><b>Hem_Ab</b>: Hemiptera (Field type: Abundance)</li><li><b>Thy_Ab</b>: Thysanoptera (Field type: Abundance)</li><li><b>Col_Ab</b>: Coleoptera (Field type: Abundance)</li><li><b>Mec_Ab</b>: Mecoptera (Field type: Abundance)</li><li><b>Dip_Ab</b>: Diptera (Field type: Abundance)</li><li><b>Lep_Ab</b>: Lepidoptera (Field type: Abundance)</li><li><b>Tri_Ab</b>: Trichoptera (Field type: Abundance)</li><li><b>Hym_Ab</b>: Hymenoptera (Field type: Abundance)</li><li><b>Uni_Ab</b>: Unidentified individuals (Field type: Numeric)</li><li><b>Abundance</b>: Total Abundance (Field type: Numeric)</li><li><b>AbundanceUni</b>: Total Abundance without unidentified individuals (Field type: Numeric)</li><li><b>Staph_Ab</b>: subset of coleoptera that were staphylinids (Field type: Abundance)</li><li><b>Richness</b>: species richness (Field type: Numeric)</li><li><b>Mass</b>: total mass (Field type: Numeric)</li><li><b>Mass_Outlier</b>: total mass without individuals weighing over 0.25g (Field type: Numeric)</li></ul></li></ol><p><b>Date range: </b>2015-05-18 to 2015-07-14</p><p><b>Latitudinal extent: </b>4.6358 to 4.7342</p><p><b>Longitudinal extent: </b>117.4576 to 117.6411</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Blattodea<br> -  -  - Coleoptera<br> -  -  -  - Staphylinidae<br> -  -  - Dermaptera<br> -  -  - Diptera<br> -  -  - Ephemeroptera<br> -  -  - Hemiptera<br> -  -  - Hymenoptera<br> -  -  - Isoptera<br> -  -  - Lepidoptera<br> -  -  - Mecoptera<br> -  -  - Odonata<br> -  -  - Orthoptera<br> -  -  - Plecoptera<br> -  -  - Thysanoptera<br> -  -  - Trichoptera<br></div><p></p>
Dataset from: Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest Biogeosciences 2019
<p>Dataset used for the manuscript <strong>Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest</strong> in Biogesciences, 2019</p>
Drier tropical forests are susceptible to functional changes in response to a long-term drought
<p>Maps created and resulting data from analysis in changes in community weighted mean of traits. The raw trait data and forest census data used are available from their sources in www.<a href="http://gem.tropicalforests.ox.ac.uk/">gem.tropicalforests.ox.ac.uk</a> and ForestPlots.net.</p>
Data from: Heritability of growth and leaf loss compensation in a long-lived tropical understorey palm
<p>Data from: Heritability of growth and leaf loss compensation in a long-lived tropical understorey palm, PLOS ONE.</p> <p>Quantitative genetic data related to growth parameters and leaf loss compensation of 1402 <em>Chamaedorea elegans</em> seedlings. Data was collected in a greenhouse experiment performed at the Unifarm experimental facilities of Wageningen University between January 2013 and July 2014, in which a defoliation treatment was applied. Seeds were collected in the Montes Azules Biosphere Reserve in Chiapas, Mexico. See PLOS ONE publication for more details.</p> <p>The file contains a separate "read me" tab in which the meaning of the variable codes is explained. </p> <p> </p>
Sub-hourly output over Tropical Western Pacific for June, July, August 1997
<p>To evaluate the simulation of deep convection over the Tropical Western Pacific (TWP) in the Canadian Atmospheric Model version 4.3 (CanAM4.3) we compare sub-hourly output against output from the super-parameterized Community Atmospheric Model version 5 (spCAM5). Both models used observed sea-surface temperatures, sea-ice distribution and atmospheric gases and simulated the period January through August, 1997. Model output related to deep convection for CanAM4.3 is saved every 15 minutes over the region bounded by 150 and 170 E and 0 to 10 N while the spCAM5 output was saved every 10 minutes over the same region. The CanAM4.3 data includes results from a single simulation and from a 5 member ensemble of CanAM4.3 simulations.</p> <p><br> <em>Relevant publications:</em></p> <p><br> <strong>Description of CanAM:</strong></p> <p><br> von Salzen, K., Scinocca, J. F., McFarlane, N. A., Li, J., Cole, J. N. S., Plummer, D., Verseghy, D., Reader, M. C., Ma, X., Lazare, M., and Solheim, L.: The Canadian Fourth Generation Atmospheric Global Climate Model (CanAM4). Part I: representation of physical processes. Atmosphere Ocean, 51, 104-125, doi:10.1080/07055900.2012.755610, 2013.</p> <p><strong>Description of CAM5 and spCAM5: </strong></p> <p>Khairoutdinov, M. F. and Randall, D. A.: A cloud resolving model as a cloud parameterization in the NCAR community climate system model: preliminary results. Geophys, Res. Lett., 28: 3617–3620, 2001.</p> <p>Khairoutdinov, M. F. and Randall, D. A.: Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities, J. Atmos. Sci., 60, 607–625, 2003.</p> <p>Neale, R. B., and Coauthors.: Description of the NCAR Community Atmosphere Model (CAM 5.0). NCAR Tech. Note TN-35 486, 274 pp, 2012.</p> <p><strong>Description of simulations and analysis: </strong></p> <p>Mitovski T.,Cole, J. N. S., McFarlane, N. A., von Salzen, K., and Zhang, G. J.: Convective response to large-scale forcing in the Tropical Western Pacific simulated by spCAM5 and CanAM4.3. submitted to GMD, July 2018.</p> <p> </p>
The Diurnal Cycle of Integrated Kinetic Energy and Wind Radii in a Simulated Tropical Cyclone
<p>Model source code and output of a 340-day-long Cloud Model 1 simulation of a tropical cyclone and associated post-processing scripts.</p>
Persistent effects of fragmentation on tropical rainforest canopy structure after 20 years of isolation
<p>Data of Ecological Application paper "Persistent effects of fragmentation on tropical rainforest canopy structure after 20 years of isolation"</p>
Fig. 1 in A new species of Quadrivisio (Amphipoda, Maeridae) from coastal tropical lagoons (Benin, West Africa)
Fig. 1. Location of sampling sites in Benin.
Tropical sand cays as natural paleo-cyclone archives
<p>Sand cays are valuable paleo-archives that can significantly increase our understanding of Holocene tropical cyclone variability. Here we conducted detailed sedimentological and chronological analyses from a 195-cm-depth pit excavated on Guangjin Island (northern South China Sea), a cay influenced by frequent tropical cyclones. Radiometric dating of multiple deposits revealed that foraminifera, soft coral spicules, and gastropod shells yielded variable age distributions, while U/Th ages of pristine <em>Acropora</em>branches provided a clear record of deposition and cay formation. Based on this robust chronostratigraphy, the proportions of > 2mm grain-size fraction within the deposits corresponded with the frequency of paleo-typhoons recorded by historical records in recent centuries. U/Th ages of <em>Acropora </em>branches from the deposits matched with three known historical typhoon events. Our results highlight the potential of cyclone-deposited sand cays as new archives for recording paleo-cyclones.</p>
Bioacoustic monitoring reveals shifts in breeding songbird populations and singing behaviour with selective logging in tropical forests
<b>Description: </b><p>Counts of individual male songbirds, males and females, songs and duets and original WAV audio recordings used to generate them</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/131"><b>Population and behavioral responses of songbirds to logging and rain forest fragmentation</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3366104">here</a></p><p><b>Files: </b>This dataset consists of 13 files: Pillay_et_al_Songbirds_Acoustic_Counts_Vegetation_Cover.xlsx, 2013_B.zip, 2013_D.zip, 2013_E.zip, 2013_F.zip, 2013_OG1.zip, 2013_OG2.zip, 2014_B.zip, 2014_D.zip, 2014_E.zip, 2014_F.zip, 2014_OG1.zip, 2014_OG2.zip</p><p><b>Pillay_et_al_Songbirds_Acoustic_Counts_Vegetation_Cover.xlsx</b></p><p>This file contains dataset metadata and 5 data tables:</p><ol><li><p><b>CountsMale</b> (described in worksheet CountsMale)</p><p>Description: Counts of male individuals of songbird species</p><p>Number of fields: 12</p><p>Number of data rows: 5700</p><p>Fields: </p><ul><li><b>year</b>: Year of Survey (Field type: id)</li><li><b>ftype</b>: Forest Type (Field type: categorical)</li><li><b>block</b>: Unique ID of Blocks within which Sampling Plots are located (Field type: id)</li><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>fragment</b>: Future fragments within which sampling plots in logged forest plots were located; not applicable for unlogged forest plots (Field type: id)</li><li><b>species</b>: Species Identity (Field type: taxa)</li><li><b>day</b>: Days 1 to 2 of sampling in each plot (Field type: numeric)</li><li><b>date</b>: Date of Sampling (Field type: date)</li><li><b>jul.date</b>: Julian Date of Sampling (Field type: numeric)</li><li><b>time1-6AM</b>: Counts of male individuals for 6:00-6:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li><li><b>time2-7AM</b>: Counts of male individuals for 7:00-7:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li><li><b>time3-8AM</b>: Counts of male individuals for 8:00-8:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li></ul></li><li><p><b>CountsMaleFemale</b> (described in worksheet CountsMaleFemale)</p><p>Description: Counts of male plus female individuals of songbird species</p><p>Number of fields: 12</p><p>Number of data rows: 1000</p><p>Fields: </p><ul><li><b>year</b>: Year of Survey (Field type: id)</li><li><b>ftype</b>: Forest Type (Field type: categorical)</li><li><b>block</b>: Unique ID of Blocks within which Sampling Plots are located (Field type: id)</li><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>fragment</b>: Future fragments within which sampling plots in logged forest plots were located; not applicable for unlogged forest plots (Field type: id)</li><li><b>species</b>: Species Identity (Field type: taxa)</li><li><b>day</b>: Days 1 to 2 of sampling in each plot (Field type: numeric)</li><li><b>date</b>: Date of Sampling (Field type: date)</li><li><b>jul.date</b>: Julian Date of Sampling (Field type: numeric)</li><li><b>time1-6AM</b>: Counts of male and female individuals for 6:00-6:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li><li><b>time2-7AM</b>: Counts of male and female individuals for 7:00-7:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li><li><b>time3-8AM</b>: Counts of male and female individuals for 8:00-8:05 AM; detection histories generated by collapsing counts to 1/0 data (Field type: numeric)</li></ul></li><li><p><b>CountsSong</b> (described in worksheet CountsSong)</p><p>Description: Counts of songs</p><p>Number of fields: 9</p><p>Number of data rows: 2850</p><p>Fields: </p><ul><li><b>year</b>: Year of Survey (Field type: id)</li><li><b>ftype</b>: Forest Type (Field type: categorical)</li><li><b>block</b>: Unique ID of Blocks within which Sampling Plots are located (Field type: id)</li><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>fragment</b>: Future fragments within which sampling plots in logged forest plots were located; not applicable for unlogged forest plots (Field type: id)</li><li><b>species</b>: Species Identity (Field type: taxa)</li><li><b>day3-6AM</b>: Counts of songs for 6:00-6:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li><li><b>day3-7AM</b>: Counts of songs for 7:00-7:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li><li><b>day3-8AM</b>: Counts of songs for 8:00-8:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li></ul></li><li><p><b>CountsDuet</b> (described in worksheet CountsDuet)</p><p>Description: Counts of duets</p><p>Number of fields: 9</p><p>Number of data rows: 500</p><p>Fields: </p><ul><li><b>year</b>: Year of Survey (Field type: id)</li><li><b>ftype</b>: Forest Type (Field type: categorical)</li><li><b>block</b>: Unique ID of Blocks within which Sampling Plots are located (Field type: id)</li><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>fragment</b>: Future fragments within which sampling plots in logged forest plots were located; not applicable for unlogged forest plots (Field type: id)</li><li><b>species</b>: Species Identity (Field type: taxa)</li><li><b>day3-6AM</b>: Counts of duets for 6:00-6:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li><li><b>day3-7AM</b>: Counts of duets for 7:00-7:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li><li><b>day3-8AM</b>: Counts of duets for 8:00-8:05 AM on day 3 or third consecutive day of sampling in each plot (Field type: numeric)</li></ul></li><li><p><b>VegetationCover</b> (described in worksheet VegetationCover)</p><p>Description: Vegetation cover data</p><p>Number of fields: 6</p><p>Number of data rows: 50</p><p>Fields: </p><ul><li><b>location</b>: Unique ID of Sampling Plots (Field type: location)</li><li><b>forest.type</b>: Forest Type (Field type: categorical)</li><li><b>udens</b>: Proportion understory cover (Field type: numeric)</li><li><b>cc</b>: Proportion canopy cover (Field type: numeric)</li><li><b>can.ht</b>: Average canopy height (Field type: numeric)</li><li><b>max.canopy</b>: Maximum height of standing vegetation (Field type: numeric)</li></ul></li></ol><p><b>2013_B.zip</b></p><p>Description: WAV files from 2013 for site B</p><p><b>2013_D.zip</b></p><p>Description: WAV files from 2013 for site D</p><p><b>2013_E.zip</b></p><p>Description: WAV files from 2013 for site E</p><p><b>2013_F.zip</b></p><p>Description: WAV files from 2013 for site F</p><p><b>2013_OG1.zip</b></p><p>Description: WAV files from 2013 for site OG1</p><p><b>2013_OG2.zip</b></p><p>Description: WAV files from 2013 for site OG2</p><p><b>2014_B.zip</b></p><p>Description: WAV files from 2014 for site B</p><p><b>2014_D.zip</b></p><p>Description: WAV files from 2014 for site D</p><p><b>2014_E.zip</b></p><p>Description: WAV files from 2014 for site E</p><p><b>2014_F.zip</b></p><p>Description: WAV files from 2014 for site F</p><p><b>2014_OG1.zip</b></p><p>Description: WAV files from 2014 for site OG1</p><p><b>2014_OG2.zip</b></p><p>Description: WAV files from 2014 for site OG2</p><p><b>Date range: </b>2013-04-09 to 2014-07-26</p><p><b>Latitudinal extent: </b>4.6881 to 4.7530</p><p><b>Longitudinal extent: </b>116.9477 to 117.6249</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Aves <br> -  -  -  -  Passeriformes <br> -  -  -  -  -  Timaliidae <br> -  -  -  -  -  -  <i>Stachyris</i> <br> -  -  -  -  -  -  -  <i>Stachyris maculata</i> <br> -  -  -  -  -  -  -  <i>Stachyris erythroptera</i> <br> -  -  -  -  -  -  -  <i>Stachyris poliocephala</i> <br> -  -  -  -  -  -  <i>Macronus</i> <br> -  -  -  -  -  -  -  <i>Macronus bornensis</i> <br> -  -  -  -  -  -  -  <i>Macronus ptilosus</i> (as synonym: <i>Macronous ptilosus</i>)<br> -  -  -  -  -  -  <i>Stachyridopsis</i> <br> -  -  -  -  -  -  -  <i>Stachyridopsis rufifrons</i> (as synonym: <i>Stachyris rufifrons</i>)<br> -  -  -  -  -  -  <i>Pomatorhinus</i> <br> -  -  -  -  -  -  -  <i>Pomatorhinus montanus</i> <br> -  -  -  -  -  Pellorneidae <br> -  -  -  -  -  -  <i>Trichastoma</i> <br> -  -  -  -  -  -  -  <i>Trichastoma bicolor</i> <br> -  -  -  -  -  -  <i>Alcippe</i> <br> -  -  -  -  -  -  -  <i>Alcippe brunneicauda</i> <br> -  -  -  -  -  -  <i>Pellorneum</i> <br> -  -  -  -  -  -  -  <i>Pellorneum capistratum</i> <br> -  -  -  -  -  -  <i>Malacocincla</i> <br> -  -  -  -  -  -  -  <i>Malacocincla malaccensis</i> <br> -  -  -  -  -  -  <i>Malacopteron</i> <br> -  -  -  -  -  -  -  <i>Malacopteron magnirostre</i> <br> -  -  -  -  -  -  -  <i>Malacopteron magnum</i> <br> -  -  -  -  -  -  -  <i>Malacopteron cinereum</i> <br> -  -  -  -  -  -  -  <i>Malacopteron affine</i> <br> -  -  -  -  -  Pycnonotidae <br> -  -  -  -  -  -  <i>Alophoixus</i> <br> -  -  -  -  -  -  -  <i>Alophoixus bres</i> <br> -  -  -  -  -  -  -  <i>Alophoixus phaeocephalus</i> <br> -  -  -  -  -  -  <i>Tricholestes</i> <br> -  -  -  -  -  -  -  <i>Tricholestes criniger</i> <br> -  -  -  -  -  -  <i>Iole</i> <br> -  -  -  -  -  -  -  <i>Iole olivacea</i> <br> -  -  -  -  -  -  <i>Pycnonotus</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus atriceps</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus simplex</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus eutilotus</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus brunneus</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus erythropthalmos</i> <br> -  -  -  -  -  Stenostiridae <br> -  -  -  -  -  -  <i>Culicicapa</i> <br> -  -  -  -  -  -  -  <i>Culicicapa ceylonensis</i> <br> -  -  -  -  -  Muscicapidae <br> -  -  -  -  -  -  <i>Cyornis</i> <br> -  -  -  -  -  -  -  <i>Cyornis superbus</i> <br> -  -  -  -  -  -  -  <i>Cyornis unicolor</i> <br> -  -  -  -  -  -  <i>Rhinomyias</i> <br> -  -  -  -  -  -  -  <i>Rhinomyias umbratilis</i> <br> -  -  -  -  -  -  <i>Trichixos</i> <br> -  -  -  -  -  -  -  <i>Trichixos pyrropygus</i> <br> -  -  -  -  -  -  <i>Copsychus</i> <br> -  -  -  -  -  -  -  <i>Copsychus stricklandii</i> <br> -  -  -  -  -  Monarchidae <br> -  -  -  -  -  -  <i>Terpsiphone</i> <br> -  -  -  -  -  -  -  <i>Terpsiphone paradisi</i> <br> -  -  -  -  -  -  <i>Hypothymis</i> <br> -  -  -  -  -  -  -  <i>Hypothymis azurea</i> <br></div><p></p>
Figure 6 in Temporal variability of the macroinvertebrate community associated with Eichhornia azurea (Swarts) Kunth (Pontederiaceae) in a lake marginal to a tropical river
Figure 6. Box-plots of macroinvertebrates community richness (expressed in log values).
Figure 8 in Contribution and acclimatization of the swarming tropical copepod Dioithona oculata (Farran, 1913) in a Mediterranean coastal ecosystem
Figure 8. Interannual variations of proportional ratio in female, male, and copepodits in autumn.
Figure 2 in Contribution and acclimatization of the swarming tropical copepod Dioithona oculata (Farran, 1913) in a Mediterranean coastal ecosystem
Figure 2. Seasonal changes of the sea water temperature and salinity values in the study area.
Figure 1 in Contribution and acclimatization of the swarming tropical copepod Dioithona oculata (Farran, 1913) in a Mediterranean coastal ecosystem
Figure 1. Sampling stations.
Figure 5 in Contribution and acclimatization of the swarming tropical copepod Dioithona oculata (Farran, 1913) in a Mediterranean coastal ecosystem
Figure 5. Annual mean abundance of D. oculata in autumn.
Fig. 4 in Rare Spiders Of The Genus Cyclocosmia (Arachnida: Araneae: Ctenizidae) From Tropical And Subtropical China
Fig. 4. Abdomen of Cyclocosmia latusicosta, new species, paratype, caudal view.
Fig. 1 in Rare Spiders Of The Genus Cyclocosmia (Arachnida: Araneae: Ctenizidae) From Tropical And Subtropical China
Fig. 1. Abdomen of Cyclocosmia ricketti (Pocock, 1901), caudal view.
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.