Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
4,669
datasets available to search
ShareScore release 0.9.0
Dataset results
4,669 results for “Environment;”
FIGURE 8 in Galatheid and chirostylid crustaceans (Decapoda: Anomura) from a cold seep environment in the northeastern South China Sea
FIGURE 8. Specimens conserved in ethanol. A, Munidopsis lauensis Baba & de Saint Laurent, 1992, MBM189173, ovig. female, PCL 13.9 mm; B, Munidopsis tuberosa Osawa, Lin & Chan, 2008, MBM189175, male, PCL 6.3 mm; C, Munidopsis verrilli Benedict, 1902, MBM189174, female, PCL 20.8 mm; D, Uroptychus jiaolongae n. sp., holotype, MBM189176, ovig. female, PCL 8.4 mm; E, Uroptychus spinulosus n. sp., holotype, MBM189177, male PCL 3.7 mm.
FIGURE 7. Uroptychus jiaolongae n in Galatheid and chirostylid crustaceans (Decapoda: Anomura) from a cold seep environment in the northeastern South China Sea
FIGURE 7. Uroptychus jiaolongae n. sp., holotype, MBM189176, ovig. female, PCL 8.4 mm. Fresh specimen and the associated gorgonian coral.
FIGURE 4. Uroptychus jiaolongae n in Galatheid and chirostylid crustaceans (Decapoda: Anomura) from a cold seep environment in the northeastern South China Sea
FIGURE 4. Uroptychus jiaolongae n. sp., holotype, MBM189176, ovig. female, PCL 8.4 mm. A, carapace, abdominal tergites 1–3 and right cheliped, dorsal view; B, right pterygostomian, lateral view; C, sternal plastron, ventral view; D, telson, dorsal view; E, right antennal peduncle, dorsal view; F, left third maxilliped, ventral view; G, left crista dentate, ventral view; H, left cheliped ischium and basis, lateral view; I, distal merus of right cheliped, ventral view; J, right cheliped fingers (setae omitted), dorsal view; K, right pereopod 2, lateral view; L, right pereopod 3, lateral view; M, right pereopod 4, lateral view; N, dactylus and distal propodus of right pereopod 2, lateral view. Scales equal 1.0 mm.
FIGURE 5. Uroptychus spinulosus n in Galatheid and chirostylid crustaceans (Decapoda: Anomura) from a cold seep environment in the northeastern South China Sea
FIGURE 5. Uroptychus spinulosus n. sp., holotype, MBM189177, male PCL 3.7 mm. A, carapace, abdominal tergites 1–3 and right cheliped, dorsal view; B, right pterygostomian, lateral view; C, sternal plastron, ventral view; D, telson, dorsal view; E, left antennal peduncle, ventral view; F, left third maxilliped, ventral view; G, right crista dentate, ventral view; H, right cheliped (excluding chela, setae omitted), ventral view; I, right cheliped fingers (setae omitted), dorsal view; J, right pereopod 2, lateral view; K, right pereopod 3, lateral view; L, right pereopod 4, lateral view; M, dactylus and distal propodus of right pereopod 2, lateral view. Scales equal 1.0 mm.
FIGURE 2 in Galatheid and chirostylid crustaceans (Decapoda: Anomura) from a cold seep environment in the northeastern South China Sea
FIGURE 2. Munidopsis lauensis Baba & de Saint Laurent, 1992, MBM189173, ovig. female, PCL 13.9 mm (A); Munidopsis tuberosa Osawa, Lin & Chan, 2008, MBM189175, male, PCL 6.3 mm (B–D). A, right pereopod 2, posterior view; B, carapace and abdominal tergites 1–4, dorsal view; C, left third maxilliped, ventral view; D, right cheliped, dorsal view. Scales equal 1.0 mm.
FIGURE 6 in Galatheid and chirostylid crustaceans (Decapoda: Anomura) from a cold seep environment in the northeastern South China Sea
FIGURE 6. In situ photo of Munidopsis verrilli Benedict, 1902 on the deep-sea mussel bed in cold seep field of northern South China Sea.
FIGURE 3. Munidopsis verrilli Benedict, 1902, MBM189174 in Galatheid and chirostylid crustaceans (Decapoda: Anomura) from a cold seep environment in the northeastern South China Sea
FIGURE 3. Munidopsis verrilli Benedict, 1902, MBM189174, female, PCL 20.8 mm. A, Carapace and abdominal tergites 1– 5, dorsal view; B, right pereopod 2, lateral view (setae and rugae omitted). Scales equal 1.0 mm.
FIGURE 3. A in A new species of Pachycara Zugmayer, 1911 (Teleostei: Zoarcidae) from deep-sea chemosynthetic environments in the Caribbean Sea
FIGURE 3. A) Photographic ventral view of head and pectoral region of Pachycara caribbaeum sp. nov. holotype in fresh condition (scale bar 20 mm; image by Adrian Glover, BMNH); B) microCT ventral view of holotype head and pectoral region (image by Daniel Sykes, BMNH).
FIGURE 5 in A new species of Pachycara Zugmayer, 1911 (Teleostei: Zoarcidae) from deep-sea chemosynthetic environments in the Caribbean Sea
FIGURE 5. In situ observations of Pachycara caribbaeum sp. nov.: A) at the exact location of holotype collection in the Von Damm Vent Field; B) among an aggregation of Rimicaris hybisae shrimp near the main vent orifice of the Von Damm Vent Field; C) in more peripheral conditions at the Von Damm Vent Field, with sparse R. hybisae and Lebbeus virentova shrimp; D) at the methane seep near Tobago (specimen indicated by arrow), among Bathymodiolus mussels and Alvinocaris shrimp. Images A–C from ROV Isis, February 2013; Image D from ROV Hercules, October 2014.
FIGURE 4 in A new species of Pachycara Zugmayer, 1911 (Teleostei: Zoarcidae) from deep-sea chemosynthetic environments in the Caribbean Sea
FIGURE 4. MicroCT lateral view of Pachycara caribbaeum sp. nov. holotype (scale bar 10 mm; image by Daniel Sykes, BMNH).
FIGURE 2 in A new species of Pachycara Zugmayer, 1911 (Teleostei: Zoarcidae) from deep-sea chemosynthetic environments in the Caribbean Sea
FIGURE 2. Photographic lateral view of Pachycara caribbaeum sp. nov. holotype in fresh condition (scale bar 50 mm; image by Adrian Glover, BMNH).
FIGURE 1 in A new species of Pachycara Zugmayer, 1911 (Teleostei: Zoarcidae) from deep-sea chemosynthetic environments in the Caribbean Sea
FIGURE 1. Locations (indicated by stars) of Pachycara caribbaeum sp. nov. Von Damm Vent Field (depth ca.2300 m). A methane seep near Tobago (depth 1049 m) is of tentatively identified early juvenile, MCZ 171653. Scale bar 1000 km.
Philippines - Open, validated health, climate, environment and socioeconomic data
<p>The <strong>Project Climate Change, Health, and Artificial Intelligence (Project CCHAIN)</strong> dataset is a validated, open-sourced linked dataset containing 20 years (2003-2022) of climate, environmental, socioeconomic, and health dimensions at the barangay (village) level across twelve Philippine cities (Dagupan, Palayan, Navotas, Mandaluyong, Muntinlupa, Legazpi, Iloilo, Mandaue, Tacloban, Zamboanga, Cagayan de Oro, Davao).</p> <p>The full documentation can be accessed <a href="https://thinkingmachines.github.io/project-cchain">here</a>.</p> <p>The tables are designed in a way that users can <strong>choose variables that are most relevant</strong> to their focus city and use case, and <strong>link these variables</strong> to form a single dataset by merging using standard geography codes and calendar dates. This can be done using the provided <a href="https://drive.google.com/drive/folders/123MrMXSVT6149MvJ8hGoDgN1s-YlQoH_">linking notebook</a>, or offline using the user's own code.</p> <p>Here are some tips on how make most use of this dataset:</p> <ul> <li> <p><strong>Focus on one location.</strong> Starting with a detailed analysis of one location allows for a better understanding of the local dynamics, which may differ across locations.</p> </li> <li> <p><strong>Choose one health data source.</strong> Pick one of either a central or local data source. Using two different data health sources is not advised because it will lead to double/overcounting of disease cases.</p> </li> <li> <p><strong>Do not use all variables at once- do a literature review first to identify possible key variables</strong>. to identify possible key variables. More often than not, using all variables is not necessary and may even yield subpar results.</p> </li> <li> <p><strong>Check data availability</strong> on your focus location and make sure they fit the requirements of your study.</p> </li> </ul>
Continuous new particle formation in a Mediterranean coastal environment: Insights from atmospheric ions behaviour analysis
<p>data used for: </p> <p><strong><span lang="EN-GB">Continuous new particle formation in a Mediterranean coastal environment: Insights from atmospheric ions behaviour analysis</span></strong></p>
Dataset with determinants or factors influencing graduate economics student preparation and success in an online environment
<p>The data relates to the paper that analyses the determinants or factors that best explain student research skills and success in the honours research report module during the COVID-19 pandemic in 2021. The data used have been gathered through an online survey created on the Qualtrics software package. The research questions were developed from demographic factors and subject knowledge including assignments to supervisor influence and other factors in terms of experience or belonging that played a role (see anonymous link at <a href="https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY">https://unisa.qualtrics.com/jfe/form/SV_86OZZOdyA5sBurY</a>. An SMS was sent to all students of the 2021 module group to make them aware of the survey. They were under no obligation to complete it and all information was regarded as anonymous. We received 39 responses. The raw data from the survey was processed through the SPSS statistical, software package. The data file contains the demographics, frequencies, descriptives, and open questions processed. </p> <p>The study reported in this paper employed the mixed methods approach comprising a quantitative and qualitative analysis. The quantitative and econometric analysis of the dependent variable, namely, the final marks for the research report and the independent variables that explain it. The results show significance in terms of the assignments and existing knowledge marks in terms of their bachelor's average mark. We extended the analysis to a qualitative and quantitative survey, which indicated that the mean statistical feedback was above average and therefore strongly agreed/agreed except for library use by the student. Students, therefore, need more guidance in terms of library use and the open questions showed a need for a research methods course in the future. Furthermore, supervision tends to be a significant determinant in all cases. It is also here where supervisors can use social media instruments such as WhatsApp and Facebook to inform students further. This study contributes as the first to investigate the preparation and research skills of students for master's and doctoral studies during the COVID-19 pandemic in an online environment.</p>
FIGURES 45 in Larval morphology of Paroster Sharp, 1882 (Coleoptera: Dytiscidae: Hydroporinae): reinforcement of the hypothesis of monophyletic origin and discussion of phenotypic accommodation to a hypogaeic environment
FIGURES 45. Boostrap consensus tree of 100 most parsimonious trees reconstructed (63 informative characters of 42 taxa); bootsrap support values are indicated above branches.
FIGURES 39–40 in Larval morphology of Paroster Sharp, 1882 (Coleoptera: Dytiscidae: Hydroporinae): reinforcement of the hypothesis of monophyletic origin and discussion of phenotypic accommodation to a hypogaeic environment
FIGURES 39–40. Paroster michaelseni (third-instar larva): (39) head capsule, dorsal aspect (not all secondary setae represented); (40) abdominal segment eight and proximal portion of urogomphi, dorsal aspect. Scale bar = 0.20 mm.
FIGURES 33–34 in Larval morphology of Paroster Sharp, 1882 (Coleoptera: Dytiscidae: Hydroporinae): reinforcement of the hypothesis of monophyletic origin and discussion of phenotypic accommodation to a hypogaeic environment
FIGURES 33–34. Paroster couragei (third-instar larva): (33) head capsule, dorsal aspect (not all secondary setae represented); (34) abdominal segment eight and proximal portion of urogomphi, dorsal aspect. Scale bar = 0.20 mm.
FIGURES 25–26 in Larval morphology of Paroster Sharp, 1882 (Coleoptera: Dytiscidae: Hydroporinae): reinforcement of the hypothesis of monophyletic origin and discussion of phenotypic accommodation to a hypogaeic environment
FIGURES 25–26. Paroster microsturtensis (third-instar larva): (25) head capsule, dorsal aspect (not all secondary setae represented); (26) abdominal segment eight and proximal portion of urogomphi, dorsal aspect. Scale bars = 0.20 mm.
FIGURES 27–28 in Larval morphology of Paroster Sharp, 1882 (Coleoptera: Dytiscidae: Hydroporinae): reinforcement of the hypothesis of monophyletic origin and discussion of phenotypic accommodation to a hypogaeic environment
FIGURES 27–28. Paroster stegastos (third-instar larva): (27) head capsule, dorsal aspect (not all secondary setae represented); (28) abdominal segment eight and proximal portion of urogomphi, dorsal aspect. Scale bars = 0.20 mm.
ScienceDex guides
Understand access before you commit
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.