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Fig. 4. Phylogenetic tree depicting inferred genetic relationships among Haemoproteus mitochondrial DNA cytochrome b in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 4. Phylogenetic tree depicting inferred genetic relationships among Haemoproteus mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the Yukon-Kuskokwim Delta, Alaska during 2006–2016 and those previously reported for closely related haemosporidian morphospecies on the National Center for Biotechnology Information GenBank and Malavi databases (accession IDs in parentheses).
Fig. 1 in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 1. Mass of adult female nesting Emperor Geese per day of incubation for birds infected (red) and uninfected (black/white) with Leucocytozoon parasites using samples collected on the Yukon-Kuskokwim Delta, Alaska during 2006–2016. Trend lines indicate the predicted mass for an individual goose throughout the incubation period from day 11 based upon on the top supported model (Mass ~ Inc + Leu). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2. Minimum spanning network for haemosporidian mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the YukonKuskokwim Delta, Alaska during 2006–2016 in Negligible evidence for detrimental effects of Leucocytozoon infections among Emperor Geese (Anser canagicus) breeding on the Yukon-Kuskokwim Delta, Alaska
Fig. 2. Minimum spanning network for haemosporidian mitochondrial DNA cytochrome b haplotypes identified from blood samples collected from Emperor Geese inhabiting the YukonKuskokwim Delta, Alaska during 2006–2016. Circles are drawn proportional to the frequency at which haplotypes were detected. Shading represented the assignment of representative sequences for haplotypes to L. simondi clade A (teal), L. simondi clade B (orange), or other Leucocytozoon (grey) in phylogenetic analyses (see Results and Fig. 5). Lines are drawn proportional to genetic distance and are labeled per the number of mutations represented (except single nucleotide polymorphisms which are unlabeled). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
FIGURE 6 in Foraminifera biostratigraphy and paleoenvironment of Well 5, OML 34, Niger Delta, Nigeria
FIGURE 6. Photomicrographic plate of some foraminfera specie from the studied well. 1, Bolivina dilatata, (Reuss) X 100; 2-3, Ammonia beccarii (Linne), (2)Dorsal view X 200, (3) Ventral view X 200; 4, Uvigerina sp. (Cushman) X 150; 5, Hopkinsina bononiensis, (Fornasini) X 150; 6-8, Epistominella vitrea(Parker), (6) Dorsal viewX 200, (7) Edge view X 200, (8) Ventral view X 200; 9, Orbulina universa, (d'Orbigny) X 250; 10, Brizalina interjuncta, (Graham, De Klasz and Rerat) X 150; 11, Heterolepa floridana, (Cushman) X 200; 12, Orbulina suturalis, (Bronnimann) X 250; 13, Praeorbulina glomerosa, (Blow) X 200; 14, Praeorbulina sicana, (Cushman and Stainforth) X 200; 15, Uvigerina isidroensis, (Cushman and Renz) X 150; 16-17, Cibicorbis inflata, (d'Orbigny), (16) Dorsal view X 200, (17) Ventral view X 200; 18, Hanzawaia strattonii, (Applin) X 200; 19-20,Valvulineria gasperensis, (Bermudez) (19) Dorsal view X 200, (20) Ventral view X 200; 21, Lenticulina grandis,(Cushman) X 200; 22, Textularia laminata, (Cushman) X 100; 23, Brizalina mandoroviensis, (Graham) X 100; 24-25, Globorotalia mayeri, (Cushman and Ellisor) (24) Dorsal view X 200, (25) Ventral view X 200.
FIGURE 5 in Foraminifera biostratigraphy and paleoenvironment of Well 5, OML 34, Niger Delta, Nigeria
FIGURE 5. Triangular plot of shell-type ratio, showing portion of intersection as normal marine shelf sea environment (Modified after Murray, 1973).
Linked collectors and determiners for: Records of macrozoobenthos organisms in the Ukrainian part of the Danube delta during 2007-2021.
Natural history specimen data linked to collectors and determiners held within, "Records of macrozoobenthos organisms in the Ukrainian part of the Danube delta during 2007-2021". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e">https://bionomia.net/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e">https://gbif.org/dataset/c8908f9c-241c-4569-8874-3b24e56dd92e</a>. Formatted as a Frictionless Data package.
Des cartes pour les décideurs, en amont du delta du Betsiboka: décrue dans l'Ambatoboeny et ensablement des rizières de Marovoay
<p>A l’issue du projet WIODER (Western Indian Ocean Deltas Exchange and Research network), le CRGIZC (Centre Régional de Gestion Intégrée des Zones Côtières), actuellement CER (Comité Environnemental Régional), de la région Boeny avait formulé deux questions aux scientifiques IRD-CNRE au sujet du fleuve Betsiboka, des questions qui ont été reformulés et traitées progressivement au gré des étudiants qui ont pu s’y consacrer avant et après le COVID et des mises en discussion dans les ateliers DIDEM N°3 et N°4 des Dialogues science-décideurs (2022).</p> <p>En prenant en compte les recommandations de ces Dialogues, des cartes plus explicites pour les décideurs ont été finalisées en 2024 par Michel Raherimanantsoa sur l’amont du delta du Betsiboka, en considérant le bassin versant du Betsiboka depuis Maevatanana, c’est-à-dire depuis l’embranchement avec l’Ikopa, jusqu’à Mahajanga. Ces cartes illustrent les réponses données aux deux questions posées :</p> <p>- Comment anticiper les surfaces cultivables en décrue dans l’Ambatoboeny, apparemment très variables d’une année à l’autre ?</p> <p>- Comment lutter contre l’ensablement des rizières de Marovoay ?</p> <p>GDRI Deltas funded by IRD </p> <p>WIODER Western Indian Ocean Deltas Exchange and Research network</p> <p>htpps://wioder.org (funded by IDRC Canada and IRD France)</p> <p>DIDEM Dialogues science decision makers for integrated management of coastal and marine environments</p> <p>www.didem-project.org (DIDEM/deltas funded by FFEM France, IDRC Canada and IRD France)</p> <p> </p>
Comprehensive bathymetry of the Danube Delta three branches
<p>This dataset contains the following:</p> <ul> <li><strong>Bathymetry of the Danube Delta three branches</strong> (bathymetry_Danube.nc). Elevation values are provided in meters relative to the EGM2008 geoid, with positive values indicating depths below the geoid. This dataset was obtained by combining data from the Ukrainian Scientific Center of Ecology of the Sea (<a href="https://sea.gov.ua/index.php/2016/07/28/about-ukrsces/?lang=en">UkrSCES</a>), the Galati Lower Danube River Administration (<a href="https://www.afdj.ro/en">AFDJ</a>), the Danube Delta National Institute for Research and Development (<a href="https://ddni.ro/wps/">DDNIRD</a>) and Copernicus' Digital Elevation Model.</li> <li><strong>Code example to read netcdf files in Python</strong> (read_netcdf.py).</li> </ul>
Fig. 8 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 8. Regression model functions between nematode length and feeding types/biomass along the Mekong estuary ECC nematode length L and percentage of feeding types 1B and 2B (a); nematode densities of individual biomass and total biomass (b).
Fig. 7. Regression functions between the length and ratio L in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 7. Regression functions between the length and ratio L/W with other characters (maturity index, feeding types) of nematodes at all stations. length L and genera richness S, maturity index MI (a); length L and percentage % of feeding type 1A and 2B (b); nematode width W with percentage of feeding type 2A (c); ratio L/W with the percentage of feeding type 2B (d).
Fig. 4 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 4. Nematode length (L) and width (W) at all mouth stations and along the Co Chien river estuary.
Fig. 3 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 3. Nitrite and nitrate concentrations (mean±SD; raw data multiplied by 10) and ammonium concentrations across a vertical sediment profile at the mouth of the Mekong delta (a), and along the Co Chien estuary (b).
Fig. 2 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 2. Chloroplastic Pigment Equivalents (mean CPE±SD; μg L−1) and chlorophyll a (mean±SD; μg L−1) at the mouth stations (a) and along the Co Chien estuary (b).
Fig. 1 in Nematode morphometry and biomass patterns in relation to community characteristics and environmental variables in the Mekong Delta, Vietnam
Fig. 1. Locations of sampling stations in the Co Chien estuary (ECC1 through ECC4) and at the mouth of Mekong Delta (from north to south, mouth stations ECT, ECD, EBL, EHL, ECH, EDA and ETD) in Vietnam.
Text-fig. 4. Location Map of the examined water vole localities. From Masini et al. (2007), modified. 1: Madrid, surroundings, 2: Graz, 3: Eisfeld, 4: Langen, 5: Delta Po, 6: Rovigo, 7: Ferrara, 8: Calabria, 9: Caverna degli Orsi, 10: Arma delle Manie, 11: Riparo Mochi, 12: Grotta di Castelcivita, 13: Grotta della Serratura, 14: Grotta del Romito, 15: Scario Grotta Grande, 16: Grotta di Cucigliana, 17: Upper Valdarno Campitello, 18: Riparo di Visogliano, 19: Isernia La Pineta, 20: Baume Gigny, 21: Baume Moula Guercy, 22: Grotte de L'Eglise, 23: Grotte-Abri Suard, 24: Grotte d'Artenac, 25: Pié Lombard, 26: Abri Vaufrey, 27: Grotte du Lazaret, 28: Abri Gaudry, 29: Pisede, 30: Euerwanger Bühl, 31: Kemathenhöhle, 32: Krockstein (Rübeland 1), 33: Burgtonna, 34: Parkhöhle (Weimar), 35: Stuttgart- Untertürkheim, 36: Taubach, 37: Ehringsdorf, 38: Plaidter-Hummerich, 39: Mosbach, 40: Petersbuch 1, 41: Bilzingsleben, 42: Miesenheim 1, 43: Voigtstedt, 44: Untermassfeld. See Table 1 for symbol explanations. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 4. Location Map of the examined water vole localities. From Masini et al. (2007), modified. 1: Madrid, surroundings, 2: Graz, 3: Eisfeld, 4: Langen, 5: Delta Po, 6: Rovigo, 7: Ferrara, 8: Calabria, 9: Caverna degli Orsi, 10: Arma delle Manie, 11: Riparo Mochi, 12: Grotta di Castelcivita, 13: Grotta della Serratura, 14: Grotta del Romito, 15: Scario Grotta Grande, 16: Grotta di Cucigliana, 17: Upper Valdarno Campitello, 18: Riparo di Visogliano, 19: Isernia La Pineta, 20: Baume Gigny, 21: Baume Moula Guercy, 22: Grotte de L'Eglise, 23: Grotte-Abri Suard, 24: Grotte d'Artenac, 25: Pié Lombard, 26: Abri Vaufrey, 27: Grotte du Lazaret, 28: Abri Gaudry, 29: Pisede, 30: Euerwanger Bühl, 31: Kemathenhöhle, 32: Krockstein (Rübeland 1), 33: Burgtonna, 34: Parkhöhle (Weimar), 35: Stuttgart- Untertürkheim, 36: Taubach, 37: Ehringsdorf, 38: Plaidter-Hummerich, 39: Mosbach, 40: Petersbuch 1, 41: Bilzingsleben, 42: Miesenheim 1, 43: Voigtstedt, 44: Untermassfeld. See Table 1 for symbol explanations.
Incubation data, CO2 and CH4 flux data and soil properties of thaw slump soils on Kurungnakh, Lena Delta in July 2016 and July 2019
<p>CO2 and CH4 rates from incubations and potential fluxes: This dataset contains rates of CO2 and CH4 production and the potential CO2 and CH4 emission rates calculated from these incubation fluxes</p> <p>in situ CO2 and CH4 chamber fluxes: This dataset contains CO2 and CH4 fluxes measured with closed chambers from different sites on Kurungnakh in July 2016 and July 2019</p> <p>simulated soil temperature and modelled CO2 fluxes: This dataset contains daily mean soil temperature data simulated with JSBACH for 2016 and the annual CO2 fluxes simulated with a Q10 model and the Introductory Carbon Balance Model (ICBM)</p> <p>thaw depth, TOC in active layer, soil temperature 2016: This dataset contains the thaw depth, TOC pools in the active layer and the soil temperature during the measurement period in July 2016</p> <p>thaw depth, TOC in active layer, soil temperature 2019: This dataset contains the thaw depth, TOC pools in the active layer and the soil temperature during the measurement period in July 2019</p> <p> </p> <p> </p> <p> </p> <p> </p>
Institutionalizing Responsible Innovation in Resilient Deltas
<p>Resilience Delta tackles societal challenges in the Rotterdam delta region through interdisciplinary and collaborative approaches. The Delft University of Technology provides RRI tools that might both enhance the social desirability and effectiveness of their work.</p>
Fig. 7. Holocene ostracods from Samut Sakhon Province, Central Thailand. A–E in Holocene ostracods (Crustacea) from a whale-fall excavation site from the Chao Phraya delta, Central Thailand
Fig. 7. Holocene ostracods from Samut Sakhon Province, Central Thailand. A–E. Keijella gonia Zhao & Whatley, 1989. A. Carapace, left lateral view, SUT-20SS-C310. B. Carapace, left lateral view, SUT-20SS-C311. C. Carapace, left lateral view, SUT-20SS-C312. D. Carapace, right lateral view, SUT- 20SS-C288. E. Carapace, right lateral view, SUT-20SS-C286. – F. Pistocythereis sp. Carapace, right lateral view, SUT-20SS-C305. –G–I. Stigmatocythere bona Chen in Hou, Chen, Yang, Ho, Zhou & Tian, 1982. G. Carapace, right lateral view, SUT-20SS-C201. H. Carapace, left lateral view, SUT-20SS-C200. I. Valve, internal view of right valve, SUT-20SS-C190. – J–O. Keijella multisulcus Whatley & Zhao, 1988. J. Valve, juvenile, right lateral view, SUT-20SS-C231. K. Valve, juvenile, internal view of right valve, SUT-20SS-C213. L. Carapace, male, left lateral view, SUT-20SS-C225. M. Carapace, female, left lateral view, SUT-20SS-C242.N. Carapace, female, left lateral view, SUT-20SS-C206. O. Carapace, female, left lateral view, SUT-20SS-C243. Scale bars = 0.1. mm.
Fig. 9 in Holocene ostracods (Crustacea) from a whale-fall excavation site from the Chao Phraya delta, Central Thailand
Fig. 9. Height and length scatter plot of Keijella multisulcus Whatley & Zhao, 1988 found at the whalefall excavation site in Samut Sakhon Province, north of the Gulf of Thailand. Scale bars = 0.1 mm.
Fig. 6. Holocene ostracods from Samut Sakhon Province, Central Thailand. A–C in Holocene ostracods (Crustacea) from a whale-fall excavation site from the Chao Phraya delta, Central Thailand
Fig. 6. Holocene ostracods from Samut Sakhon Province, Central Thailand. A–C. Neomonoceratina iniqua (Brady, 1868). A. Valve, male, right lateral view, SUT-20SS-C097. B. Valve, male, left lateral view, SUT- 20SS-C095. C. Valve, male, right lateral view, SUT-20SS-C093. –D–I. Neomonoceratina rhomboidei (Brady, 1968). D. Carapace, male, right lateral view, SUT-20SS-C113. E. Carapace, male, right lateral view, SUT- 20SS-C120. F. Carapace, female, right lateral view, SUT-20SS-C099. G. Carapace, female, left lateral view, SUT-20SS-C107. H. Carapace, female, dorsal view, SUT-20SS-C114. I. Sieve pores. – J. Neomonoceratina columbiformis Kingma, 1948. Carapace, left lateral view, SUT-20SS-C181. – K–N. Neomonoceratina mediterranea mediterranea (Ruggieri, 1953). K. Carapace, female, right lateral view, SUT-20SS-C167. L. Carapace, female, right lateral view, SUT-20SS-C173. M. Carapace, female, left lateral view, SUT- 20SS-C164. N. Carapace, female, dorsal view, SUT-20SS-C174. – O–T. Neomonoceratina mediterranea malayensis Zhao & Whatley, 1988. O. Carapace, male, right lateral view, SUT-20SS-C159. P. Carapace, male, left lateral view, SUT-20SS-C157. Q. Carapace, male, dorsal view, SUT-20SS-C161. R. Carapace, male, left lateral view, SUT-20SS-C152. S. Carapace, male, left lateral view, SUT-20SS-C141. T. Valve, male, internal view of left valve, SUT-20SS-C160. Scale bars = 1 mm.
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.