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2,295 results for “New Caledonia”
Holdridge Life Zones Classification in New Caledonia Habitats
<h1>Description</h1> <p>This dataset aims to represent, in geographic space, the distribution of life zones as first defined by Holdridge in 1947 and updated in 1967. Life zones are delineated through three parameters:</p> <ul> <li>Mean Annual Biotemperature (°C): This axis represents the average annual temperature, considering only temperatures above 0°C, as it influences biological activity. It determines the thermal regime of the environment.</li> <li>Annual Precipitation (mm): This axis measures the total annual precipitation, indicating moisture availability. It is crucial for determining the hydric regime and supporting different types of vegetation and ecosystems.</li> <li>Potential Evapotranspiration Ratio (PET): This axis is the ratio of potential evapotranspiration to annual precipitation. It reflects the balance between water demand and supply, indicating aridity or humidity levels and influencing vegetation types and ecosystem dynamics.</li> </ul> <p>We used a combination of WorldClim datasets (Biotemperature and potential evapotranspiration) and Météo-France Aurelhy datasets (Annual Precipitation) specifically designed for New Caledonia to produce the raster with a 1 km² resolution.</p> <h1>Content</h1> <p>This dataset was produced, analyzed, and verified using a combination of open-source software, including QGIS, PostgreSQL, PostGIS, Python, R and the GDAL library, all running on Linux.</p> <ul> <li>amap_raster_holdridge_nc.tif is a GeoTIFF, utilizing the WGS84 international coordinate system, and consists of a single band with three major classes coded as <ul> <li>Dry life zone (rast = 1)</li> <li>Moist life zone (rast = 2)</li> <li>Rain life zone (rast = 3)</li> </ul> </li> <li>holdridge_3classes_NC.png is an image illustrating the valid domain of life zones in New Caledonia and the classification used in the dataset.</li> </ul> <h1>Limitations</h1> <p>Strictly, the classification leads to five distinct classes (very dry, dry, moist, wet, and rain), but as the two extreme classes cover less than 0.5% of New Caledonia, we merged very dry and dry into the "dry" class, as well as wet and rain into the "rain" class as illustrated in the Figure <a href="../api/records/12731521/draft/files/holdridge_3classes_NC.png/content" target="_blank" rel="noopener noreferrer">holdridge_3classes_NC.png</a>.</p>
Forest Map of New Caledonia
<h1>Description</h1> <p>This dataset contains the shapefile of the Caledonian forest produced by digitization at a scale of 1:3,000 from a mosaic of satellite images (Sentinel 2, Quickbird, Pléiades) and aerial photographs provided by the department of infrastructure, topography and land transport (DITTT) of the government of New Caledonia and available on the georep map server (<a href="https://georep.nc/" target="_blank" rel="noopener">georep.nc</a>). Satellite images and aerial photographs were taken between 2009 and 2021 with a maximum spatial resolution of 0.5 m. We classified the vegetation as a forest when the plants (which must be over 5 meters tall) formed a continuous canopy, obscuring the ground surface over an area of at least 0.5 hectares (FAO 2020). Finally, we consider a polygon as an isolated forest fragment if it is more than 10 meters away from another polygon. When the distance is less than 10 meters, the polygons are merged.</p> <p>Each of the 12,058 digitized polygons was extensively cross-checked with the Tropical Rainforest Cover Change (TMF) dataset using 41 years of Landsat time series (<a href="https://www.biorxiv.org/content/10.1101/2020.09.17.295774v1" target="_blank" rel="noopener">Vancutsem et al., 2021</a>) and the ETH model providing 10 m resolution of global canopy height (<a href="https://www.nature.com/articles/s41559-023-02206-6" target="_blank" rel="noopener">Lang et al., 2023</a>). This consistency analysis between photo-interpretation and radiometric detection was conducted on a 2 km² grid, with verification of each polygon when the divergence exceeded 15%. In total, 1564 polygons, either barely discernible in the images or exhibiting a homogeneous canopy texture, were visually verified by helicopter overflight. At least, forest polygons were verified through databases of plant occurrences collected in the forest, in particular the <a title="NOU Herbarium" href="http://publish.plantnet-project.org/project/nou" target="_blank" rel="noopener">Herbarium of New Caledonia database</a> (NOU) and the <a title="NC-PIPPN" href="https://amap.cirad.fr/reseauxparcelles/npippn.php" target="_blank" rel="noopener">New Caledonian Plant Inventories and Permanent Plots Network </a>(NC-PIPPN).</p> <h1>Content</h1> <p>This dataset was generated, analyzed, and validated using a suite of open-source software tools, including QGIS, PostgreSQL, PostGIS, Python, and the GDAL library, operating on a Linux platform. The compressed file includes six essential files formatted for an ESRI GIS system, utilizing the WGS84 international coordinate system. It is compatible for upload into spatial databases such as PostgreSQL/PostGIS..</p> <p>Each entry in the attribute table represents a forest fragment (a polygon) with associated fields (restricted to 10 characters) :</p> <table> <tbody> <tr> <td><strong>Field</strong></td> <td><strong>Type</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td><strong>id</strong></td> <td>INTEGER</td> <td>Unique identifier</td> </tr> <tr> <td><strong>pn</strong></td> <td>BOOLEAN</td> <td>True or False, indicating if the polygon overlaps with the Northern province</td> </tr> <tr> <td><strong>ps</strong></td> <td>BOOLEAN</td> <td>True or False, indicating if the polygon overlaps with the Southern province</td> </tr> <tr> <td><strong>pil</strong></td> <td>BOOLEAN</td> <td>True or False, indicating if the polygon overlaps with the Islands province (Loyalty Islands)</td> </tr> <tr> <td><strong>area_ha</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Area of the polygon in hectares</td> </tr> <tr> <td><strong>dry_ha</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Area of the polygon in hectares within the dry life zone according to Holdridge</td> </tr> <tr> <td><strong>moist_ha</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Area of the polygon in hectares within the moist life zone according to Holdridge</td> </tr> <tr> <td><strong>rain_ha</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Area of the polygon in hectares within the rain life zone according to Holdridge</td> </tr> <tr> <td><strong>created_by</strong></td> <td>TEXT</td> <td>Creator of the polygon</td> </tr> <tr> <td><strong>date_creat</strong></td> <td>DATE</td> <td>Date when the polygon was first created</td> </tr> <tr> <td><strong>date_updat</strong></td> <td>DATE</td> <td>Date when the polygon was updated</td> </tr> </tbody> </table> <h1>Limitations</h1> <p>Currently, only the North and South provinces are available, an area of 16,395 km² out of a total of 18,345 km². Digitization of the Loyaulties Islands will be available soon. This dataset is periodically updated with corrections made by field observations and the addition of new expert interpretations, especially on smaller islands that have not been digitized before. We plan to produce the whole map step by step.</p>
Potential Tree Species Richness in the Forests of New Caledonia
<h1>Description</h1> <p>This dataset aims to represent, in geographic space, the potential distribution of biological tree richness in New Caledonian forests according to a 1 ha grid based on the observed distribution of 148,085 occurrences for 1112 tree species.</p> <p>For each species, we constructed the environmental niche based on 7 abiotic variables (rainfall, slope, elevation, compound topographic index, substrate, sunshine index, distance to the east coast; cf. Pouteau et al., 2015, 2019 for details). We used species distribution models (SDM) and stacked species distribution models (S-SDM) through the R-package SSDM (Schmitt et al., 2017).</p> <p>According to the S-SDM model, the potential richness ranges between 18 and 355 tree species per hectare in New Caledonia. We adjusted this range to the richness observed on 24 1 ha plots from the Permanent Plant Inventory Network of New Caledonia (NC-PIPPN), which ranges between 35 and 121 tree species per hectare. Finally, we clipped the resulting raster with the forest map of New Caledonia (version 2024, Birnbaum et al., 2024) to produce the raster of potential distribution of biological tree richness in the New Caledonian forests at 1 ha resolution.</p> <h1>Content</h1> <p>This dataset was produced, analyzed, and verified using a combination of open-source software, including QGIS, PostgreSQL, PostGIS, Python, R, and the GDAL library, all running on Linux.</p> <ul> <li>amap_raster_forest_richness.tif is a GeoTIFF utilizing the WGS84 international coordinate system and consists of a single band with graduated values ranging from 35 to 121 potential tree species per hectare. The NoData value was set to 0.</li> <li>amap_raster_forest_richness.png is a image illustrating the spatial distribution of the data and values</li> </ul> <h1>Limitations</h1> <p>This dataset is strictly based on the relationship between a few environmental variables and a limited set of tree species occurrences. While it provides a valuable overview of potential tree species richness, it represents only a part of the complex biotic and abiotic interactions that lead to the effective presence or absence of a species in the environment. Consequently, the projection of these probabilities onto the geographical space provides only an overview of the potential richness of forest fragments, which should not be considered as the observed diversity.</p> <p>Additionally, due to a lack of occurrence data, only the Grande-Terre forest is covered in this raster.</p>
Forest Hotspots in the Biodiversity Hotspot of New Caledonia
<h1>Description</h1> <p>This dataset explores threats to New Caledonia's forests, focusing on the probability of deforestation within hotspots of tree community diversity.</p> <ul> <li>The probability of deforestation was derived from the "<em>Spatial scenario of tropical deforestation and carbon emissions for the 21st century</em>" (<a title="Spatial scenario of tropical deforestation and carbon emissions for the 21st century" href="https://doi.org/10.1101/2022.03.22.485306" target="_blank" rel="noopener">Vielledent et al., 2023</a>), available as <a title="Forest at Risk in New Caledonia" href="https://forestatrisk.cirad.fr/newcal/" target="_blank" rel="noopener">downloadable GeoTIFFs</a> for New Caledonia for the years 2050 and 2100</li> <li>Hotspots of tree community diversity were identified using the '<strong>Core Forest</strong>' class extracted from the dataset '<em>Classification of New Caledonia Forests According to Edge and Elevation Effects</em>'. Core forest are defined as forest areas located more than 300 meters from the forest edge, characterized by potentially richer tree communities.</li> </ul> <p>To assess habitat quality, each core forest fragment was surrounded by a 500-meter buffer zone. We evaluated forest habitat metrics including forest cover, forest type distribution, and fragmentation index within these buffer zones. Additionally, we analyzed the areas of forest threatened by deforestation in 2050 and 2100. The resulting maps provide decision-making support for stakeholders involved in conserving New Caledonia's forests. The fragmentation index used is the effective mesh size (meff), originally proposed by <a title="Landscape division, splitting index, and effective mesh size: new measures of landscape fragmentation" href="https://doi.org/10.1023/A:1008129329289" target="_blank" rel="noopener">Jaeger (2000)</a> and updated by <a title="Modification of the effective mesh size for measuring landscape fragmentation to solve the boundary problem" href="https://doi.org/10.1007/s10980-006-9023-0" target="_blank" rel="noopener">Moser and al. (2007)</a> to address boundary effects. A higher index value indicates less fragmented forest.</p> <h1>Content</h1> <p>This dataset was generated, analyzed, and validated using a suite of open-source software tools, including QGIS, PostgreSQL, PostGIS, Python, and the GDAL library, operating on a Linux platform. The compressed file includes six essential files formatted for an ESRI GIS system, utilizing the WGS84 international coordinate system. It is compatible for upload into spatial databases such as PostgreSQL/PostGIS.</p> <p>Each entry in the attribute table represents a buffer area containing one or several core forests, with the following fields (restricted to 10 characters):</p> <table> <tbody> <tr> <td><strong>Field</strong></td> <td><strong>Type</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td><strong>id_buffer</strong></td> <td>INTEGER</td> <td>Unique identifier for the buffer</td> </tr> <tr> <td><strong>area_ha<br></strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Area of the buffer in hectares</td> </tr> <tr> <td><strong>frag_index</strong></td> <td>NUMERIC</td> <td>Forest fragmentation meff index within the buffer</td> </tr> <tr> <td><strong>forest_cov</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Proportion of forest within the buffer area (%)</td> </tr> <tr> <td><strong>edge_r</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Proportion of forest area classified as edge forest (%) </td> </tr> <tr> <td><strong>mature_r</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Proportion of forest area classified as mature forest (%) </td> </tr> <tr> <td><strong>core_r</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Proportion of forest area classified as core forest (%) </td> </tr> <tr> <td><strong>defor_2050</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Proportion of forest threatened by deforestation in 2050 (%)</td> </tr> <tr> <td><strong>defor_2100</strong></td> <td>NUMERIC (2 DECIMALS)</td> <td>Proportion of forest threatened by deforestation in 2100 (%)</td> </tr> <tr> <td><strong>pn</strong></td> <td>BOOLEAN</td> <td>True or False, indicating if the polygon overlaps with the Northern province</td> </tr> <tr> <td><strong>ps</strong></td> <td>BOOLEAN</td> <td>True or False, indicating if the polygon overlaps with the Southern province</td> </tr> </tbody> </table> <p> </p> <h1>Limitations</h1> <p>This analysis of forest conservation issues aims to foster dialogue between forest ecologists and forest management strategies in New Caledonia. It should not be applied blindly based solely on the few quantitative variables proposed.</p> <p>Various scenarios can utilize these metrics, and we urge managers to initially define conservation objectives (such as maximizing biodiversity, reducing fragmentation, restoring disturbed environments, etc.) and consider constraints (such as accessibility, budget, feasibility, etc.) before utilizing this dataset.</p> <p>While threats was projected for future scenarios, conservation efforts should also prioritize preserving forests in their current state, including addressing increasing fragmentation and biodiversity loss. We encourage users to explore these metrics and their correlation with other quantitative or qualitative variables to gain a deeper understanding of conservation challenges in New Caledonia's forests.</p>
Database for the validation of the French COHIP-SF-19 among 12-year-olds in New Caledonia
<p>Extract from the New Caledonian epidemiological survey database for the validation of the French COHIP-SF-19 among 12-year-olds </p>
Data bases for Measuring impacts of oral health promotion interventions on health inequities: the example of New Caledonia
<p>Extract from the New Caledonian (NC) epidemiological survey database for identifying the determinants and risk factors explaining the presence of untreated dental caries and to compare the prevalence and severity of dental caries between 2012 and 2019, in order to identify potential changes that occurred in NC.</p>
National Checklists 2017: New Caledonia Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from New Caledonia collected using effechecka and geonames polygons
National Checklists 2019: New Caledonia Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from New Caledonia collected using effechecka and geonames polygons
GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - third part)
<p><a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded during the project entitled "<strong>Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie</strong>" [en: "<strong>Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia</strong>"]. Devices are 60-Hz triaxial accelerometers.</p> <p>This dataset also contains <strong>participantCharacteristics.csv</strong> that povides basic information about participants and <strong>read_a_binFile_share.R</strong> that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section).</p> <p>Participant characteristics: 10 to 16 years old students and some parents.</p> <p>Number of participants: 231 (206 adolescents + 25 adults).</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p> <p>The accelerometer .csv files with a 1 second epoch and extracted from raw .bin files are available in open datasets:</p> <ul> <li><a title="Open dataset - first part" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">anonymized version - first part</a></li> <li><a title="Open dataset - second part" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">anonymized version - second part</a></li> <li><a title="Open dataset - third part" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">anonymized version - third part</a></li> </ul> <p>The accelerometer raw .bin files are available in <strong>restricted datasets</strong>:</p> <ul> <li><a title="Restricted dataset - first part" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">non-anonymized version - first part</a></li> <li><a title="Restricted dataset - second part" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">non-anonymized version - second part</a></li> <li><a title="Restricted dataset - third part" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">non-anonymized version - third part</a></li> </ul> <p>Other participant characteristics (age, place of living, cultural community and socio-economic status) are available in a <a title="Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information version)" href="https://doi.org/10.5281/zenodo.12195186" target="_blank" rel="noopener">restricted non-anonymized dataset</a>.</p> <p>When using this dataset, please cite the following reference:<br><a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a></p>
GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - second part)
<p><a title="GENEActiv" href="https://activinsights.com/technology/geneactiv/" target="_blank" rel="noopener">GENEActiv</a> accelerometer .csv files converted with a 1 second epoch from raw GENEActiv .bin files recorded during the project entitled "<strong>Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie</strong>" [en: "<strong>Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia</strong>"]. Devices are 60-Hz triaxial accelerometers.</p> <p>This dataset also contains <strong>participantCharacteristics.csv</strong> that povides basic information about participants and <strong>read_a_binFile_share.R</strong> that is a short R code aiming at converting and saving accelerometer data from .bin files in 1 second epoch .csv files (consider the Methods section).</p> <p>Participant characteristics: 10 to 16 years old students and some parents.</p> <p>Number of participants: 231 (206 adolescents + 25 adults).</p> <p>Year of the study: 2018 - 2019.</p> <p>Place of the study: New Caledonia.</p> <p>The accelerometer .csv files with a 1 second epoch and extracted from raw .bin files are available in open datasets:</p> <ul> <li><a title="Open dataset - first part" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">anonymized version - first part</a></li> <li><a title="Open dataset - second part" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">anonymized version - second part</a></li> <li><a title="Open dataset - third part" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">anonymized version - third part</a></li> </ul> <p>The accelerometer raw .bin files are available in <strong>restricted datasets</strong>:</p> <ul> <li><a title="Restricted dataset - first part" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">non-anonymized version - first part</a></li> <li><a title="Restricted dataset - second part" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">non-anonymized version - second part</a></li> <li><a title="Restricted dataset - third part" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">non-anonymized version - third part</a></li> </ul> <p>Other participant characteristics (age, place of living, cultural community and socio-economic status) are available in a <a title="Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information version)" href="https://doi.org/10.5281/zenodo.12195186" target="_blank" rel="noopener">restricted non-anonymized dataset</a>.</p> <p>When using this dataset, please cite the following reference:<br><a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a></p>
Fig. 3 in Two new ant species (Formicidae: Dorylinae, Ponerinae) from New Caledonia
Fig. 3. Comparison of the body in dorsal view of Leptogenys species of New Caledonia. A. L. acutangula Emery, 1914 (CASENT0270535). B. L. sagaris Wilson, 1958 (CASENT0270576). Images: A by Estella Ortega, B by Ryan Perry.
Fig. 18. A in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 18. A. Macrorhynchia phoenicea (Busk, 1852), hydrotheca from sample MNHN-IK-2015-510. — B–D. Macrorhynchia disjuncta (Pictet, 1893), portion of stem (B), hydrotheca (C) and phylactocarp with gonotheca (D) from sample MNHN-IK-2015-513. Scale bars: A–C = 200 µm; D = 500 µm.
Fig. 14 in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 14. Lytocarpia pilosa sp. nov., from sample MNHN-IK-2015-524. A–C. Portion of stem seen frontally (A) and basally (B), and detached pseudophylactocarp (C). D. Hydrotheca. E. Costa of corbula. Scale bars: A–C, E = 500 µm; D = 200 µm.
Fig. 15 in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 15. Lytocarpia pseudoctenata sp. nov. A. Portion of stem. B–D. Hydrotheca (B) and details of its basal (C) and distal (D) parts, all seen laterally. E–F. Portion of the rachis of corbula, and costa with gonotheca (F). From samples MNHN-IK-2015-527 (C–D) and MNHN-IK-2015-528 (A–B, E–F). Scale bars: A, F = 500 µm; B–E = 200 µm.
Fig. 12. A–C in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 12. A–C. Lytocarpia fragilis sp. nov, fertile colony (A) and details of a corbula (B–C), all from sample MNHN-IK-2015-523 (holotype). — D–F. Lytocarpia pilosa sp. nov., fertile colony (D), portion of stem, showing proximal parts of pseudophylactocarps (E), and corbula (F), all from sample MNHN-IK-2015-524 (holotype). — G–H. Lytocarpia pseudoctenata sp. nov., fertile colony (G) and corbula (H), all from sample MNHN-IK-2015-527 (holotype). Scale bars: A, D = 1 cm; B, H = 1 mm; C, E = 500 µm; F = 2 mm; G = 2 cm.
Fig. 10 in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 10. Gymnangium expansum (Jäderholm, 1903). A. Diagrammatic illustration of the mode of branching of the stem: main (m. t.) and accessory (a. t.) tubes, primary (p. b.) and secondary (s. b.) branches with cladia. B–C. Stem internode with gonotheca (B) and detail (C), showing the nematotheca associated to the hydrocladial apophysis. Hydrothecae in lateral (D–E) and frontal (F) views, and detail of their base (G). H–K. Nematothecae: mesial with bifid (H) and quintuple (I) aperture; lateral with simple (J) and bifid (K) apertures. From samples MNHN-IK-2015-515 (B, C, E, G, H, J) and MNHN-IK-2015-516 (D, F, I, K). Scale bars: B, D–F = 200 µm; C, G–K = 100 µm.
Fig. 11. A in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 11. A. Lytocarpia brevirostris (Busk, 1852), hydrotheca from sample MNHN-IK-2015-514. — B–K. Lytocarpia fragilis sp. nov., from sample MNHN-IK-2015-523. A–B. Portions of stems in frontal (B) and dorsal (C) aspects. D–G. Hydrotheca seen laterally (D) and frontally (E), and details of its basal (F) and distal (G) parts, both in lateral view. H–I. Distal part of mesial nematotheca seen frontally (H) and apically (I). J–K. Two corbulacostae. Scale bars: B = 500 µm; A, D–E, J–K = 200 µm; C, F–I = 100 µm.
Fig. 9 in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 9. Cladocarpus pennatus sp. nov. (continued). A–E. Hydrothecae from different colonies seen in lateral view (A–D), to show variation in abaxial curvature, and proximalmost part of a hydrocladium seen frontally (E). F–G. Details of the basal (F) and distal (G) parts of a hydrotheca seen laterally. From samples MNHN-IK-2015-531 (C), MNHN-IK-2015-532 (A, E–G), MNHN-IK-2015-536 (D) and MNHN-IK-2015-539 (B). Scale bars: A–E = 200 µm; F–G = 100 µm.
Fig. 16. A in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 16. A. Lytocarpia cf. spiralis (Totton, 1930), colony from sample MNHN-IK-2015-546. — B. Lytocarpia subtilis sp. nov., colony and corbula (insert) from sample MNHN-IK-2015-525 (holotype). — C–D. Macrorhynchia phoenicea (Busk, 1852) (C), from sample MNHN-IK-2015-512, compared to M. disjuncta (Pictet, 1893) (D), from sample MNHN-IK-2015-513. — E–G. Macrorhynchia spiralis sp. nov., colonies from samples MNHN-IK-2015-519 (E, holotype) and MNHN-IK-2015-520 (F, one paratype), and medusoid gonophore (G) from former sample. Scale bars: A = 3 cm; B–F = 1 cm; B (insert) = 1 mm; G = 100 µm.
Fig. 8 in Aglaopheniid hydroids (Cnidaria: Hydrozoa: Aglaopheniidae) from off New Caledonia collected during KANACONO and KANADEEP expeditions of the French Tropical Deep-Sea Benthos Program
Fig. 8. Cladocarpus pennatus sp. nov. (part). Portion of stem showing insertions of successive cladia (A) and details of apophysis with its associated nematothecae (B–C). Proximal portions of fertile cladia in frontal (D, with phylactocarp) and dorsal (E, phylactocarp on first cormidium not shown) aspects. Phylactocarp (F). Male (G) and female (H) gonothecae. Hydrotheca seen apically (I). From samples MNHN-IK-2015-532 (A–C), MNHN-IK-2015-533 (E, I), MNHN-IK-2015-537 (G) and MNHN-IK-2015-540 (D, F, H). Scale bars: G = 100 µm; A–F, H, I = 200 µm.
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.