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4,356 results for “RED”

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edi52/100

Light limited carboxylation rates of Red mangrove leaves at Key Largo, Watson River Chickee, Taylor Slough, and Little Rabbit Key, South Florida (FCE) from July 2001 to August 2001

Our goal is to determine light limited carboxylation rates of red mangrove (specie sRhizophora mangle) leaves. This information will be used to model carbon sequestration by Red mangroves.

openCC (other)Feb 2024View details →
edi52/100

Red Knot observations on the Virginia Coast, 2007-2019

Red Knot observations on the Virginia Coast, 2007-2019 Understanding factors that influence a species' distribution and abundance across the annual cycle is required for range-wide conservation. Thousands of imperiled red knots (Calidris cantus rufa) stop on Virginia's barrier islands each year to replenish fat during spring migration. We investigated the variation in red knot presence and flock size, the effects of prey on this variation, and factors influencing prey abundance on Virginia's barrier islands. We counted red knots and collected potential prey samples at randomly selected sites from 2007 - 2018 during a two-week period during early and peak migration. Core samples contained crustaceans (Orders Amphipoda and Calanoida), blue mussels (Mytilus edulis), coquina clams (Donax variabilis), and miscellaneous prey (horseshoe crab eggs (Limulus polyphemus), angel wing clams (Cyrtopleura costata), and other organisms (e.g., insect larvae, snails, worms)). Estimated red knot numbers in Virginia during peak migration were highest in 2012 (11,959) and lowest in 2014 (2,857; 12-year peak migration x̄ = 7,175, SD = 2,869). Red knot and prey numbers varied across sampling periods and substrates (i.e., peat and sand). Red knots generally used sites with more prey. Miscellaneous prey (x̄ = 18.85/core sample, SE = 0.88) influenced red knot presence at a site early in migration, when we only sampled on peat banks. Coquina clams (x̄ = 11/core sample, SE = 0.30) and blue mussels (x̄ = 0.94/core sample, SE = 0.04) affected red knot presence at a site during peak migration, when we sampled both substrates. Few relationships between prey and red knot flock size existed, suggesting that other unmeasured factors determined red knot numbers at occupied sites. Tide and mean daily water temperature affected prey abundance. Maximizing the diversity, availability, and abundance of prey for red knots on barrier islands requires management that encourages the presence of both sand a

openCustomMay 2022View details →
zenodo48/100

The Red Queen in the Repository: metadata quality in an ever-changing environment (preprint of paper, presentation slides and dataset collection with validation schemas to IDCC2019 conference paper)

<p>This fileset contains a preprint version of the conference paper (.pdf), presentation slides (as .pptx) and the dataset(s) and validation schema(s) for the IDCC 2019 (Melbourne) conference paper: <em>The Red Queen in the Repository: metadata quality in an ever-changing environment. </em>Datasets and schemas are&nbsp; in .xml, .xsd , Excel (.xlsx) and .csv&nbsp; (two files representing two different sheets in the .xslx -file). The <em>validationSchemas.zip</em> holds the additional validation schemas (.xsd), that were not found in the schemaLocations of the metadata xml-files to be validated. The schemas must all be placed in the same folder, and are to be used for validating the Dataverse <em>dcterms</em> records (with <em>metadataDCT.xsd</em>) and the Zenodo <em>oai_datacite</em> feeds respectively (<em>schema.datacite.org_oai_oai-1.0_oai.xsd</em>). In the latter case, a simpler way of doing it might be to replace the incorrect URL &quot;<em>http://schema.datacite.org/oai/oai-1.0/ oai_datacite.xsd</em>&quot; in the <em>schemaLocation </em>of these xml-files by the CORRECT:&nbsp; <em>schemaLocation=&quot;http://schema.datacite.org/oai/oai-1.0/ http://schema.datacite.org/oai/oai-1.0/oai.xsd&quot;</em>&nbsp; as has been done already in the sample files here. The sample file folders <em>testDVNcoll.zip </em>(Dataverse), <em>testFigColl.zip </em>(Figshare)<em> </em>and <em>testZenColl.zip </em>(Zenodo)<em> </em>contain all the metadata files tested and validated that are registered in the spreadsheet with objectIDs.<br> In the case of Zenodo, one original file feed,<br> <em>zen2018oai_datacite3orig-https%20_zenodo.org_oai2d%20verb=ListRecords%26metadata<br> Prefix=oai_datacite%26from=2018-11-29%26until=2018-11-30.xml</em> ,<br> is also supplied to show what was necessary to change in order to perform validation as indicated in the paper.</p> <p>For Dataverse, a corrected version of a file,<br> <em>dvn2014ddi-27595<strong>Corr</strong>_https%20_dataverse.harvard.edu_api_datasets_export%20<br> exporter=ddi%26persistentId=doi%253A10.7910_DVN_27595<strong>Corr</strong>.xml</em> ,<br> is also supplied in order to show the changes it would take to make the file validate without error.</p>

opencc-by-4.0Feb 2019View details →
zenodo48/100

Geological map of the southern Red Sea & western Gulf of Aden region

<p><strong>Content</strong></p> <p>This dataset contains a geological map of the southern Red Sea &amp; western Gulf of Aden region (1:3&rsquo;100&rsquo;000), including all the associated data.</p> <p>This dataset includes:</p> <ul> <li>The map in JPEG, PDF, and GeoTIFF format</li> <li>The shapefiles of the map</li> <li>One document listing all sources used for the compilation of this map (<em>Source_Material_GmsRSwGoAr.pdf</em>)</li> </ul> <p>&nbsp;</p> <p>This database is an additional complement to the paper &lsquo;Rime, V., Foubert, A., Ruch, J. &amp; Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, <a href="https://doi.org/10.1016/j.earscirev.2023.104519">https://doi.org/10.1016/j.earscirev.2023.104519</a>&nbsp;&rsquo;<em>.</em></p> <p>Note that a larger-scale map of the Afar Depression is available as &#39;Rime, V., Foubert, A., Atnafu, B. and Kidane, T. (2022) Geological map of the Afar Depression. <em>Zenodo</em>. <a href="https://doi.org/10.5281/zenodo.7351643">https://doi.org/10.5281/zenodo.7351643</a>&nbsp;&#39;</p> <p>&nbsp;</p> <p><strong>References</strong></p> <p>The map was developed by compiling a large number of published maps, descriptions, datings and other studies, complemented by remote sensing. All sources and references are mentioned in the <em>Source_Material_GmsRSwGoAr</em>. Material and methods of mapping have been described in detail within the paper.</p> <p>&nbsp;</p> <p><strong>Citation</strong></p> <p>When using the data, please cite the data as &lsquo;Rime, V., Foubert, A., Atnafu, B. &amp; Kidane, T. (2022) Geological map of the southern Red Sea &amp; western Gulf of Aden region. Zenodo&rsquo; and refer to the accompanying paper as &lsquo;Rime, V., Foubert, A., Ruch, J. &amp; Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, <a href="https://doi.org/10.1016/j.earscirev.2023.104519">https://doi.org/10.1016/j.earscirev.2023.104519</a>&nbsp;&rsquo;<em>.</em></p> <p>The map and additional data are given without any guarantee of correctness. Any use of these are under the user&rsquo;s full responsibility.The authors decline any responsibility.</p> <p>&nbsp;</p> <p><strong>Acknowledgements</strong></p> <p>This study was funded by the Swiss National Science Foundation (SNF project SERENA &ndash; SEdimentary REcord of the Northern Afar 200021_163114). We are grateful to the University of Fribourg (Switzerland), the University of Addis Ababa (Ethiopia), the Ethiopian Ministry of Mines and Energy, the Ethiopian Geological Survey, Circum Minerals, former Allana Potash and Yara Dallol for their support. We particularly acknowledge Samuel Getachew that helped us to access some of the geological maps. We thank David Jaramillo-Vogel, Jean-Charles Schaegis, Haileyesus Negga, Addis Endeshaw, Ermias Gebru, Eva de Boever, Juan-Carlos Braga, Pia Wyler, Xenia Haberditz, the Ethioder team as well as the regional and local administration of the Afar for their help and support during fieldwork.</p>

opencc-by-4.0Nov 2022View details →
zenodo48/100

Macroscopic, histological and stereological image dataset of the Striped red mullet (Mullus surmuletus) ovaries from the English Channel (ICES area 27.7.d) stock

<p><strong>Contents: </strong></p> <p>This dataset can be completed with the : <strong>Macroscopic, histological and stereological image dataset of the Striped red mullet (<em>Mullus surmuletus</em>) ovaries from the Bay of Biscay (ICES area 27.7.g,j &amp; 27.8.a-c) stock</strong>, which can also be found on the Zenodo repository.</p> <p>This dataset contains the macroscopic and histological images of the ovaries of 214 Striped red mullet (female, <em>Mullus surmuletus</em>, Linnaeus 1758) collected from the English Channel stock (ICES area 27.7.d) in February 2021 (n=20), March 2021 (n=13), April 2021 (n=12), May 2021 (n=15), August 2021 (n=15), September 2021 (n=15), October 2021 (n=41), November 2021 (n=10), December 2021 (n=14), January 2022 (n=30), February 2022 (n=15) and August 2022 (n=14).</p> <p>&nbsp;</p> <p><strong>Images:</strong></p> <ul> <li><strong>Macroscopic_pictures.zip: </strong>archive in zip format of 621 pictures (.JPG; 2Mo-8Mo; JPG; 350pp) from 211 female Striped red mullets dissected during this study. Each photo was taken with a digital camera (no flash). For each individual, up to three pictures were taken when possible (Le Meleder <em>et al.</em>, 2022) with : <ul> <li>one picture of the entire fish with its abdominal cavity open with the ovaries in view</li> <li>one picture of the whole fish with the ovaries outside of the abdominal cavity</li> <li>one picture of the ovaries</li> <li>the name of the picture is the same as the fish&rsquo;s ID number.</li> </ul> </li> </ul> <ul> <li><strong>Histology_slides.zip :</strong> archive in zip format containing the ovarian histological slides digitized using an Olympus V120 slide scanner, x20 lens. The pictures (.vsi from the OlympusVSI format) are of the 484 histological slides acquired during this study.</li> <li>Data was split for smaller size downloads : <ul> <li><strong>Histology_slides_1of5 :</strong> histological sections for individuals numbered 001 to 045</li> <li><strong>Histology_slides_2of5 :</strong> histological sections for individuals numbered 046 to 138</li> <li><strong>Histology_slides_3of5 :</strong> histological sections for individuals numbered 154 to 180</li> <li><strong>Histology_slides_4of5 :</strong> histological sections for individuals numbered 196 to 270</li> <li><strong>Histology_slides_5of5 :</strong> histological sections for individuals numbered 271 to 334</li> </ul> </li> </ul> <p>&nbsp;</p> <p><strong>Data:</strong></p> <ul> <li><strong>Readings.zip :</strong> archive in zip format containing the stereology reading results of the ovarian histological slides. In this folder, three directories are available. <ul> <li><strong>Calibration</strong> : Reading results of 4 different agents, with the first and last readings, as well as the Qupath scripts used.</li> <li><strong>Homogeneity</strong> : Reading results for 96 histological slides used to check the cellular homogeneity inter- and intra-gonad. These 96 slides belong to 16 fish, with three histological samples taken in the anterior (1), median (2) and posterior (3) sections of the left (G) and right (D) ovaries. A QuPath folder is also present, containing the scripts used.</li> <li><strong>Total </strong>: Reading results for 214 ovarian histological slides of the median position of either the left or right ovary. One median slide was read per sampled fish. A QuPath folder is also present, containing the scripts used.</li> </ul> </li> </ul> <ul> <li><strong>Macro_MULL_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Macro_MULL.xlsx</strong> file, as well as their meaning.</li> <li><strong>Macro_MULL.xlsx</strong> : Excel file (.xlsx) containing measurements of macroscopic parameters for all 214 fish sampled during this study. The information contained in this table is as follows: <ul> <li>Fish_id: identification of the fish. This id is identical to the name given to the pictures of the full ovaries (<strong>Macroscopic_pictures_Data</strong>)</li> <li>ICES _Division: International Council for the Exploration of the Sea (ICES) division where the fish was sampled in the Food and agricultural Organization of the United nations (FAO) fishing area 27</li> <li>ICES_statistical_rectangle : Statistical rectangle where the fish was sampled within the FAO fishing area 27</li> <li>Date: date the fish was caught (dd/mm/yyyy)</li> <li>Total_fish_length: total length of the fish (cm)</li> <li>Ungutted_fish_weight: total weight of the fish (g)</li> <li>Otolith_ID: unique identification number given to each sampled fish through the Imagine (Ellebode <em>et al.</em>, 2022) software used by IFREMER</li> <li>Parasite: presence (Y) or absence (N) of parasite in or on the fish</li> <li>age: age (in years) of the fish after analysis of the fish&rsquo;s otolith. The IFREMER laboratory of Boulogne-sur-Mer (FRANCE) executed this analysis</li> <li>Visual_maturity : visually estimated maturity, after observation macroscopic criteria of the fish&rsquo;s gonad with the naked eye, following the WKASMSF (ICES, 2018) scale</li> <li>Liver_weight: liver weight (g)</li> <li>Droite_gonad_weight : gonad weight (g) of right ovary</li> <li>Gauche_gonad_weight : gonad weight (g) of left ovary</li> <li>Sections: number of cross sections sampled for the individual</li> </ul> </li> </ul> <ul> <li><strong>Stereo_MULL_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Stereo_MULL.csv</strong> file, as well as their meaning.</li> <li><strong>Stereo_MULL.csv</strong> : a text data file (.csv) of the stereology count results of 294 slides read during this study. Among these slides, 96 were read to test the homogeneity distribution of different cell types found throughout each ovary (16 fish with 6 histological sections : a median, an anterior and a posterior histological section, for both ovaries), slides were read by multiple agents for calibration purposes (see <strong>Calibration</strong> folder for reading results of the 4 agents). Finally, 214 median histological ovarian slides were read. The information contained in this table is as follows: <ul> <li>cell_type: structure identified for one sample point (for the abbreviations, see Heude-Berthelin <em>et al.</em> 2023)</li> <li>idpt: identification number of the sampling point</li> <li>id: unique complex identification number of the sampling point generated by combining the x and y coordinates</li> <li>x: x coordinate of the sampling point</li> <li>y: y coordinate of the sampling point</li> <li>reading: Indicates if the reading data was used to test cellular homogeneity (Homogeneity) or to the sexual maturity phase</li> <li>slideid: identification number of the digitized histological slide that was used for the stereological count. Shares the same 12 first characters with <strong>Fish_id</strong></li> </ul> </li> </ul>

opencc-by-4.0Jun 2023View details →
zenodo48/100

Macroscopic, histological and stereological image dataset of the Striped red mullet (Mullus surmuletus) ovaries from the Bay of Biscay (ICES area 27.7.g,j & 27.8.a-c) stock

<p><strong>Contents: </strong></p> <p>This dataset can be completed with the : <strong>Macroscopic, histological and stereological image dataset of the Striped red mullet (<em>Mullus surmuletus</em>) ovaries from the English Channel (ICES area 27.7.d) stock</strong>, which can also be found on the Zenodo repository.</p> <p>This dataset contains the macroscopic and histological images of the ovaries of 103 Striped red mullet (female, <em>Mullus surmuletus</em>, Linnaeus 1758) collected from the Bay of Biscay stock (ICES areas 27.7.j,g &amp; 27.8.a-c) in November 2020 (n=9), May 2021 (n=11), June 2021(n=7), July 2021 (n=15), September (n=15), October 2021 (n=3), November 2021 (n=27) and February 2022 (n=15).</p> <p>&nbsp;</p> <p><strong>Images:</strong></p> <ul> <li><strong>Macroscopic_pictures.zip: </strong>archive in zip format of 290 pictures (.JPG; 2Mo-8Mo; JPG; 350pp) from 103 female Striped red mullets dissected during this study. Each photo was taken with a digital camera (no flash). For each individual, up to three pictures were taken when possible (Le Meleder <em>et al.</em>, 2022) with : <ul> <li>one picture of the entire fish with its abdominal cavity open with the ovaries in view</li> <li>one picture of the whole fish with the ovaries outside of the abdominal cavity</li> <li>one picture of the ovaries</li> <li>the name of the picture is the same as the fish&rsquo;s ID number.</li> </ul> </li> </ul> <ul> <li><strong>Histology_slides.zip:</strong> archive in zip format containing the ovarian histological slides digitized using an Olympus V120 slide scanner, x20 lens. The pictures (.vsi from the OlympusVSI format) are of the 264 histological slides acquired during this study. Data was split for smaller size downloads : <ul> <li><strong>Histology_slides_1of3 :</strong> histological sections for individuals numbered 062 to 094</li> <li><strong>Histology_slides_2of3 :</strong> histological sections for individuals numbered 100 to 250</li> <li><strong>Histology_slides_3of3 :</strong> histological sections for individuals numbered 290 to 304</li> </ul> </li> </ul> <p>&nbsp;</p> <p><strong>Data:</strong></p> <ul> <li><strong>Readings.zip:</strong> archive in zip format containing the stereology reading results of the ovarian histological slides. In this folder, three directories are available. <ul> <li><strong>Calibration </strong>: Reading results of 4 different agents, with the first and last readings, as well as the Qupath scripts used<strong>.</strong></li> <li><strong>Homogeneity</strong> : Reading results for 84 histological slides used to check the cellular homogeneity inter- and intra-gonad. These 84 slides belong to 14 fish, with three histological samples taken in the anterior (1), median (2) and posterior (3) sections of the left (G) and right (D) ovaries. A QuPath folder is also present, containing the scripts used.</li> <li><strong>Total</strong> : Reading results for 103 ovarian histological slides of the median position of either the left or right ovary. One median slide was read per sampled fish. A QuPath folder is also present, containing the scripts used.</li> </ul> </li> </ul> <ul> <li><strong>Macro_MULL_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Macro_MULL.xlsx</strong> file, as well as their meaning.</li> <li><strong>Macro_MULL.xlsx</strong> : Excel file (.xlsx) containing measurements of macroscopic parameters for all 103 fish sampled during this study. The information contained in this table is as follows: <ul> <li>Fish_id: identification of the fish. This id is identical to the name given to the pictures of the full ovaries (<strong>Macroscopic_pictures_Data</strong>)</li> <li>ICES _Division: International Council for the Exploration of the Sea (ICES) division where the fish was sampled in the Food and agricultural Organization of the United nations (FAO) fishing area 27</li> <li>ICES_statistical_rectangle : Statistical rectangle where the fish was sampled within the FAO fishing area 27</li> <li>Date: date the fish was caught (dd/mm/yyyy)</li> <li>Total_fish_length: total length of the fish (cm)</li> <li>Ungutted_fish_weight: total weight of the fish (g)</li> <li>Otolith_ID: unique identification number given to each sampled fish through the Imagine (Ellebode <em>et al.</em>, 2022) software used by IFREMER</li> <li>Parasite: presence (Y) or absence (N) of parasite in or on the fish</li> <li>age: age (in years) of the fish after analysis of the fish&rsquo;s otolith. The IFREMER laboratory of Boulogne-sur-Mer (FRANCE) executed this analysis</li> <li>Visual_maturity : visually estimated maturity, after observation macroscopic criteria of the fish&rsquo;s gonad with the naked eye, following the WKASMSF (ICES, 2018) scale</li> <li>Liver_weight: liver weight (g)</li> <li>Droite_gonad_weight : gonad weight (g) of right ovary</li> <li>Gauche_gonad_weight : gonad weight (g) of left ovary</li> <li>Sections: number of cross sections sampled for the individual</li> </ul> </li> </ul> <ul> <li><strong>Stereo_MULL_read_me.txt</strong> : a text file (.txt) listing the acronyms used in the <strong>Stereo_MULL.csv</strong> file, as well as their meaning.</li> <li><strong>Stereo_MULL.csv</strong> : a text data file (.csv) of the stereology count results of 173 slides read during this study. Among these slides, 84 were read to test the homogeneity distribution of different cell types found throughout each ovary (14 fish with 6 histological sections : a median, an anterior and a posterior histological section, for both ovaries), slides were read by multiple agents for calibration purposes (see <strong>Calibration</strong> folder for reading results of the 4 agents). Finally, 103 median histological ovarian slides were read. The information contained in this table is as follows: <ul> <li>cell_type: structure identified for one sample point (for the abbreviations, see Heude-Berthelin <em>et al.</em> 2023)</li> <li>idpt: identification number of the sampling point</li> <li>id: unique complex identification number of the sampling point generated by combining the x and y coordinates</li> <li>x: x coordinate of the sampling point</li> <li>y: y coordinate of the sampling point</li> <li>reading: Indicates if the reading data was used to test cellular homogeneity (Homogeneity) or to the sexual maturity phase</li> <li>slideid: identification number of the digitized histological slide that was used for the stereological count. Shares the same 12 first characters with <strong>Fish_id</strong></li> </ul> </li> </ul>

opencc-by-4.0Jun 2023View details →
edi48/100

Journey North - Red-winged blackbird observations by volunteer community scientists across Central and North America (1999-2020)

This data package contains Red-winged Blackbird migration data consisting of 9,352 total observational reports from 1999 - 2020 across North and Central America. These data were collected by 4,647 community scientists for Journey North, a crowdsourced participatory science program of the University of Wisconsin-Madison Arboretum. The Journey North Red-winged Blackbird Project is an ongoing study of Red-winged Blackbird phenology conducted at broad spatial and temporal scales. Since 1999, community scientists have tracked first arrival dates and breeding and feeding behavior as well as the onset of fall migration and presence of Red-winged blackbird species throughout the winter months in the United States. The focal species is the Red-winged Blackbird (Agelaius phoeniceus). Observers also provide estimates of the number of birds sighted. However, observers do not follow standardized methods for counting species observed. Observers do not observe at set times of the day, do not repeat observations regularly, and are not required to provide the length of time during which a specified number of species observed were counted. Therefore, it is recommended that this dataset be analyzed to indicate presence not abundance. Researchers are encouraged to read the rich information provided by volunteers in their comments. These comments provide qualitative information about observational reports. Researchers are also encouraged to refer to submitted photographs that also provide context for observational reports. The Journey North Red-winged Blackbird Project dataset is hosted by the University of Wisconsin-Madison Shared Web Hosting Service.

openCC (other)Aug 2022View details →
edi48/100

Mycorrhizal Fungi of Native Red Pine Stands in the Forests of the Huron Mountains (1996-2015).

This data includes mycorrhizal fungi population data in Michigan’s Huron Mountains from 1996-2015 collected by Dana Ritcher. Seven stands consisting of primarily pine forests were surveyed for two separate sampling periods annually during the study period.

openCC (other)Aug 2023View details →
edi48/100

Temperature logger deployment methods and irradiance-biased temperature data, King Abdullah University of Science and Technology, Red Sea, 2023.

Solar irradiance can offset the temperature recorded by underwater sensing instruments (aka "loggers"). We collected temperature and PAR (photosynthetic active radiation) data during two short-term in situ deployments on a shallow fringing reef adjacent to the King Abdullah University of Science and Technology (KAUST) in the Red Sea. The first deployment quantified the measurement bias due to solar heating over five days in February 2023 while the second compared the effect of different shading methods on logger performance over 24 hours in June 2023. We also recorded temperature in a controlled calibration bath in the lab with ten of the most widely used loggers to further assess their accuracy, response time, and intra-logger variation. Finally, to understand current practices of measuring temperature on coral reefs, we summarized logger deployment method details from a literature review of coral reef studies published from 2013 to 2022. Such details included how often loggers recorded the temperature, the depth where loggers were deployed, and whether the authors reported shading or protecting their loggers. This data package is complete and part of a larger project that aims to develop an instrument deployment framework for restoration-based reef monitoring, which includes instrument recommendations and deployment guidelines.

openCC0Oct 2024View details →
edi48/100

Kuskokwim River Floodplain: White Spruce (Picea glauca) annual tree-ring width measurements (mm) at breast height from tree-core samples taken above Red Devil on the Kuskokwim River in July, 2007

This dataset contains annual raw ring width measurements in the Tucsan (decadal format) (.rwl file extension) of 14 large white spruce trees growing within 50m of the Kuskokwim River. Ring-widths were measured to 0.001mm on a velmex laser micrometer and accuracy was checked by crossdating using COFECHA. Annual values were measured from 1779-2006.

openOpenJul 2008View details →
edi48/100

FCE LTER Taylor Slough/Panhandle-7 Site Scrub Red Mangrove (Rhizophora mangle) Leaf Gas Exchange Data, Florida, USA from January-December 2019

Rates of leaf gas exchange were measured monthly during the 2019 calendar year in a scrub Red mangrove (Rhizophora mangle (L.) L.) forest site (TS/Ph-7) near the mouth of Taylor River in southeastern Florida Everglades. Sampling of green mature leaves was designed to target scrub mangrove tree branches growing on slightly higher elevation mangrove island centers versus permanently inundated island edge habitats. Concurrent measurements of water depth and surface and porewater salinity were collected at each of the mangrove island habitats, with the research objective of assessing the effect of physicochemical variables on rates of leaf gas exchange (i.e., assimilation and stomatal conductance). Leaf gas exchange data were collected using the Li-6800 portable photosynthesis system (Li-COR, Lincoln, NE). Additional data on leaf functional traits and nutrient concentrations and environmental data from the site are included. Data are presented in five datasets (.csv).

openCC (other)Jan 2021View details →
edi48/100

Hubbard Brook Experimental Forest: Annual measurements on marked northern red oak seedlings, 2014-ongoing

Marked individual northern red oak seedlings were individually marked and mapped at 20 valleywide transects starting in summer 2011. This data set includes detailed seedling measures starting in summer 2014. The data were used to examine the impact of previous year seedling condition on whether the seedling survived in the next season. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

openCC (other)Mar 2024View details →
edi48/100

Root distributions of coastal red cedars on Catlett Island, VA, 2018

This dataset contains the fall direction and root distributions of windthrown Juniperus virginiana on the Catlett Islands, VA. The distribution, number, length, and circumference of exposed roots are reported here. Additionally the aspect (direction of steepest slope) and fall direction were measured. Catlett Islands are a series of ridged islands on the York River, VA. See also: Messerschmidt, Tyler C.; Langston, Amy K.; and Kirwan, Matthew L., Asymmetric root distributions reveal press-pulse responses in retreating coastal forests (2021). Ecology.

openCustomMay 2022View details →
zenodo44/100

Patterns and drivers of species diversity in the Indo-Pacific red seaweed Portieria: phylogenetic data

<p>Alignments, trees and Biogeobears analyses related to the study: Leliaert F, Payo DA, Gurgel CFD, Schils T, Draisma SGA, Saunders GW, Kamiya M, Sherwood AR, Lin S-M, Huisman John&nbsp;M, Le Gall L, Anderson RJ, Bolton John&nbsp;J, Mattio L, Zubia M, Spokes T, Vieira C, Payri CE, Coppejans E, D&#39;hondt S, Verbruggen H, De Clerck O. Patterns and drivers of species diversity in the Indo-Pacific red seaweed Portieria. Journal of Biogeography. 2018;45(10):2299-313. doi:10.1111/jbi.13410</p> <p>Abstract: Biogeographical processes underlying Indo-Pacific biodiversity patterns have been relatively well studied in marine shallow water invertebrates and fishes, but have been explored much less extensively in seaweeds, despite these organisms often displaying markedly different patterns. Using the marine red alga Portieria as a model, we aim to gain understanding of the evolutionary processes generating seaweed biogeographical patterns. Our results will be evaluated and compared with known patterns and processes in animals. Species diversity estimates were inferred using DNA-based species delimitation methods. Historical biogeographical patterns were inferred based on a six-gene time-calibrated phylogeny, distribution data of 802 specimens, and probabilistic modelling of geographic range evolution. The importance of geographic isolation for speciation was further evaluated by population genetic analyses at the intraspecific level. We delimited 92 candidate species, most with restricted distributions, suggesting low dispersal capacity. Highest species diversity was found in the Indo-Malay Archipelago (IMA). Our phylogeny indicates that Portieria originated during the late Cretaceous in the area that is now the Central Indo-Pacific. The biogeographical history of Portieria includes repeated dispersal events to peripheral regions, followed by long-term persistence and diversification of lineages within those regions, and limited dispersal back to the IMA. Our results suggest that the long geological history of the IMA played an important role in shaping Portieria diversity. High species richness in the IMA resulted from a combination of speciation at small spatial scales, possibly as a result of increased regional habitat diversity from the Eocene onwards, and species accumulation via dispersal and/or island integration through tectonic movement. Our results are consistent with the biodiversity feedback model, in which biodiversity hotspots act as both &lsquo;centres of origin&rsquo; and &lsquo;centres of accumulation&rsquo;, and corroborate previous findings for invertebrates and fish that there is no single unifying model explaining the biological diversity within the IMA.</p>

opencc-by-4.0Nov 2020View details →
zenodo44/100

Imágenes - Tesis en 3 minutos - Red Nanoandes: Cálculos de Estructura Electrónica en Perovskitas BiFeO3 y YCrO3

<p>Im&aacute;genes del v&iacute;deo creado para el concurso <strong>Tesis en tres minutos</strong> organizado por <strong>Red Nanoandes.</strong> El v&iacute;deo obtuvo la medalla de bronce y fue presentado en la feria de ciencia <strong>Per&uacute; Con Ciencia</strong> organizada por el <strong>Consejo Nacional de Ciencia, Tecnolog&iacute;a e Innovaci&oacute;n Tecnol&oacute;gica </strong>(<strong>CONCYTEC</strong>).</p>

opencc-by-4.0Dec 2020View details →
zenodo44/100

Red-optical spectra of three nearby M dwarfs with SALT HRS

<p>We conducted observations of three nearby mid-M dwarfs with the High-Resolution Spectrograph (HRS) at the Southern African Large Telescope (SALT, DDT proposal code: 2019-2-DDT-006). We obtained spectra in its red arm over a wavelength range of 5,500-8,900 Angstr&ouml;m with a spectral resolution of about 40,000 in medium-resolution mode. The observations were carried out on February 08 and February 09, 2020. The data were reduced with the PEPSI data reduction software (Strassmeier et al. 2018). The reduction followed the standard steps of bias overscan detection and subtraction, scattered light extraction from the inter-order space and subtraction, definition of &eacute;chelle orders, optimal extraction of spectral orders, wavelength calibration, and a self-consistent continuum fit to the full two-dimensional (2D) image of extracted orders.</p> <p><strong>Files in this dataset</strong></p> <p>salt1.txt: TIC 44984200 (2MASS J08380224-5855583)<br> salt2.txt: TIC 277539431 (2MASS J10551532-7356091)<br> salt3.txt: TIC 300741820 (2MASS J07404497-6648318)</p> <p><strong>Columns in each file from left to right:</strong></p> <p>1 Wavelength in Angstrom<br> 2 Normalized flux<br> 3 Uncertainty on normalized flux</p> <p><strong>Corresponding author</strong></p> <p>Ekaterina Ilin, eilin@aip.de, Leibniz Institute for Astrophysics Potsdam (AIP)</p>

opencc-by-4.0Dec 2020View details →
zenodo44/100

Genomes and full-length 16S reference sequences for 27 Alpha- and Gamma-Proteobacterial isolates from Red Sea Acropora corals

<p>Coral-associated bacteria contribute to the biology of their host, but the underlying molecular interactions are largely unknown.&nbsp;To further our functional understanding, we obtained 27&nbsp;alpha- and gamma-proteobacterial&nbsp;isolates, many of which are Rhodobacteraceae,&nbsp;from three coral species of the genus&nbsp;<em>Acropora </em>and assembled/annotated their genomes as a resource for further functional studies.&nbsp;Our results reveal the immense taxonomic and genetic diversity of common&nbsp;alpha- and gamma-proteobacterial&nbsp;coral-associated bacteria. We hope these data provide&nbsp;a framework to study the function of specific bacteria in the coral holobiont. Isolates are available upon request.</p>

opencc-by-4.0Jan 2021View details →
zenodo44/100

In situ FTIR, EXAFS and HR-STEM data for Pd/TiO2 samples under red-ox conditions

<p>Files Pd_photo-oxidation.xmu.dat and Pd_dep-oxidation.xmu.dat contain the sequence of X-ray absorption spectra during starting from the pre-reduced state (after reduction in H2) during heating in O2 from 50 to 400 for Pd_photo and Pd_dep samples, respectively (synthesized using photodeposition and deposition-precipitation methods). The last two columns in each file correspond to the as-synthesized state of the corresponding sample (before reduction in hydrogen) and reference palladium foil.&nbsp;</p> <p>Pd_photo.ftir.dat and Pd_dep.ftir.dat contain the sequence of the FTIR spectra for the same samples taken at room temperature after sending 35 mbar of CO on pre-oxidized samples.</p> <p>Video files show the evolution of the structure of Pd_dep and Pd_photo samples sample under different atmospheres and temperatures, visualized by in situ HR-STEM microscope.</p>

opencc-by-4.0Aug 2024View details →
zenodo44/100

Linked Open African Red Slip Ware

<ul> <li>first release after project ending</li> </ul> <p>Characteristic of the North African bowls, plates, and jugs are their pictorial decorations applied mainly by appliqu&eacute;s and stamps. As mass-produced image carriers and everyday objects, the ARS spread throughout the empire.</p> <p>The range of motifs includes mythological scenes as well as scenes from the Old and New Testament, circus, arena and hunting scenes as well as fish and plant motifs. The appliqu&eacute;s-decorated pottery thus provides insights into Late Antique imagination and its changes, as well as into the economic history of the period between the 3rd and 5th centuries AD in North Africa.</p> <p>Previous documentation methods were not able to capture the objects and their decoration in an adequate way. The digital recording of the RGZM&#39;s collections by 3D scans allows to compare potentially identical appliqu&eacute;s and to assign them to their negative forms and the corresponding stamps.</p> <p>Whereas vessel curvature previously falsified the assignment of appliqu&eacute;s and models, 3D analysis and visualisation tools now allow a comparison . Metadata created for each object increases the effectiveness and accuracy of determining image context and content. Issues related to the production of the ARS and the process flows within the workshops can be investigated through the analysis of the 3D data.</p> <p>The developed ontology uses CIDOC CRM and various extensions. The data mainly consists of objects (E24), on which e.g. applications (features, E25) can be found. These objects can be described semantically, e.g. by the shape or time epoch. Features are described with observations, e.g. a human type man standing and wearing a beard. These observations lead to interpretations whose arguments can be observations.</p>

opencc-by-4.0Nov 2021View details →
zenodo44/100

Diel vertical migration promotes prokaryotic diversity in the Red Sea mesopelagic

<p>ABSTRACT: The diel vertical migration (DVM) of fish provides an active transport of labile dissolved organic matter (DOM) to the deep ocean, fueling the metabolism of heterotrophic bacteria and archaea. We studied the impact of DVM on the mesopelagic prokaryotic diversity of the Red Sea focusing on the mesopelagic deep scattering layer (DSL) between 450-600 m. Despite the general consensus of homogeneous conditions in the twilight zone, we observed variability in physico-chemical variables and distinct seasonal indicator prokaryotes inhabiting the DSL, representing between 2% (summer) to over 10% (winter) of total sequences. The DSL samples diverged from the surrounding mesopelagic waters in multidimensional scaling analysis and were distributed according to depth (47% of variance explained). We identified the sources of diversity that contribute to the DSL using spring depth profiles. On average, 7% was related to probable sinking from the epipelagic, 34% was common among the other mesopelagic waters and 38% was attributable to the DVM, with 21% of species being unique to the DSL. We conclude that the mesopelagic physico-chemical properties shape a rather uniform prokaryotic community, but that the 200 m wide DSL contributes uniquely and in a high proportion to the diversity of the Red Sea mesopelagic.</p> <p>The raw 16S sequences used in this research article are available at <a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB49545">https://www.ebi.ac.uk/ena/browser/view/PRJEB49545</a> as 67 paired fastq sequences with consecutive accession numbers: ERX7411972 &ndash; ERX7412038.</p> <p>The 2 files stored in this repository represent: a) the clean 16S sequences count and taxonomic affiliation (SILVA132 Database) and b) the metadata associated to each of the 67 samples (lat, long, temperature, salinity, nutrient concentrations, bacterial abundance, bacterial size, etc)</p>

opencc-by-4.0Jan 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record