Skip to main content
Powered by ShareScore

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.

23,351

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

23,351 results for “Comparative”

Learn how ShareScore rates datasets ↗
zenodo40/100

FIG. 16 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 16. Tonicia chilensis, southern ecotype, Chile, Magellan Strait, 53°37'S, 70°56'W, 0.5–3.0 m, BL 18.5 mm, 18.05.2000, leg. B. Sirenko. A. Dorsal, marginal and ventral spicules. B. Dorsal bristles and spicules in girdle not treated with KOH. C. Dorsal spicules in girdle treated with KOH. D. Radula. РИС. 16. Tonicia chilensis, южный Экотип, Чили, пролив Магеллана, 53°37'S, 70°56'W, 0.5–3.0 m, BL 18.5 mm, 18.05.2000, собрал. B. Sirenko. A. Дорсальные, маргинальные и вентральные спикулы. B. Дорсальные Щетинки и спикулы на перинотуме не обработанном KOH. C. Дорсальные спикулы на перинотуме обработанном KOH. D. Радула.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 13 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 13. Tonicia chilensis, northern ecotype, Chile, Calfuco, intertidal, BL 20.6 mm, 16.01.2005, leg. B. Sirenko. A. Valve VII, jugal area. B, D. Dorsal, marginal and ventral spicules. C. Valve VII, pleural area. РИС. 13. Tonicia chilensis, северный Экотип, Чили, Калфуко, литораль BL 20,6 мм, 16.01.2005, собрал B. Sirenko. A. Щиток VII, югальное поле. B, D.Дорсальные, маргинальные и вентральные спикулы. C. Щиток VII, плевральное поле.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 10 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 10. Tonicia calbucensis, northern ecotype, Chile, Las Cruces, intertidal, BL 16.9 mm, 18.11.2008, leg. B. Sirenko. A. Central and first lateral teeth of radula. B. Head of major lateral tooth of radula. РИС. 10. Tonicia calbucensis, северный Экотип, Чили, Лас Крусес, литораль BL 16,9 мм, 18.11.2008, собрал B. Sirenko. A. Центральные и первые латеральные Зубы радулы. B. Наконечник крючковой пластинки радулы.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 9 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 9. Tonicia calbucensis, northern ecotype, Chile, Las Cruces, intertidal, BL 16.9 mm, 18.11.2008, leg. B. Sirenko. A. Valve VI, pleural area. B, C. Dorsal, marginal and ventral spicules. D. Radula. РИС. 9. Tonicia calbucensis, северный Экотип, Чили, Лас Крусес, литораль, BL 16,9 мм, 18.11.2008, собрал B. Sirenko. A. Щиток VI, плевральное поле. B, C. Дорсальные, маргинальные и вентральные спикулы. D. Радула.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 7 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 7. Tonicia calbucensis, northern ecotype, Chile, La Mission, intertidal, BL 17.5 mm, 30.12.2004, leg. B. Sirenko. A. Radula. B. Central and first lateral teeth of radula. РИС. 7. Tonicia calbucensis, северный Экотип, Чили, Ла Мисьон, литораль, BL 17,5 мм, 30.12.2004, собрал B. Sirenko. A. Радула. B. Центральные и первые латеральные Зубы радулы.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 11 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 11. Photos of live specimens of Tonicia chilensis. A. Northern ecotype, Ventanas (~33°S). B. Northern ecotype, Los Vilos (~32°S). C. Southern ecotype, Huinay (~41°S). D. Southern ecotype Valdivia (~39°S). РИС. 11. Фотографии живых ЭкЗемплЯров Tonicia chilensis. A. Северный Экотип, Вентанас (~33°S); B. Северный Экотип, Лос Вилос (~36°S); C. Южный Экотип, Уйнай (~41°S); D. Южный Экотип, ВальдивиЯ (~39°S).

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 6 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 6. Tonicia calbucensis, northern ecotype, Chile, La Mission, intertidal, BL 17.5 mm, 30.12.2004, leg. B. Sirenko. A. Valve VI, pleural area. B, C. Dorsal, marginal and ventral spicules. D. Radula. РИС. 6. Tonicia calbucensis, северный Экотип, Чили, Ла Мисьон, литораль, BL 17,5 мм, 30.12.2004, собрал B. Sirenko. A. Щиток VI, плевральное поле. B, C. Дорсальные, маргинальные и вентральные спикулы. D. Радула.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 5 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 5. Tonicia calbucensis, northern ecotype, Chile, La Mission, intertidal, BL 17.5 mm, 30.12.2004, leg B. Sirenko. A. Valve I, dorsal view. B. Valve VI, dorsal view. C. Valve VIII, dorsal view. D. Valve VI, jugal area. E. Valve VI, rostral view. F. Valve VIII, lateral view. РИС. 5. Tonicia calbucensis, северный Экотип, Чили, Ла Мисьон, литораль, BL 17,5 мм, 30.12.2004, собрал B. Sirenko. A. Головной Щиток вид сверху. B. Щиток VI, вид сверху. C. Щиток VIII, вид сверху. D. Щиток VI,.югальное поле. E. Щиток VI, вид спереди. F. Щиток VIII, вид сбоку.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG 18 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG 18. Maximum likelihood phylogram of Tonicia species and ecotypes (north and south) from the southeastern Pacific Ocean. Node values represent bootstrap support. РИС. 18. Филограмма максимального правдоподобиЯ видов и Экотипов Tonicia (север и юг) иЗ юго-восточной части Тихого океана. ЗначениЯ уЗлов представлЯют поддержку начальной ЗагруЗки.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 4 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 4. Tonicia calbucensis, southern ecotype, South Chile, 42°22'S, 72°25'W, 5–20 m, BL 20.5 mm, 04.01.2005, leg. B. Sirenko. A. Radula. B. Central and first lateral teeth of radula. РИС. 4. Tonicia calbucensis, южный Экотип, южное Чили, 42°22'S, 72°25'W, 5–20 м, BL 20,5 мм, 04.01.2005, собрал B. Sirenko. A. Радула. B. Центральные, первые латеральные Зубы радулы.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 12 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 12. Tonicia chilensis, northern ecotype, Chile, Calfuco, intertidal, BL 20.6 mm, 16.01.2005, leg. B. Sirenko. A. Valve I, dorsal view. B. Valve V, dorsal view. C. Valve VIII, dorsal view. D. Valve VII, dorsal view. E. Valve V, rostral view. F. Valve VIII, lateral view. РИС. 12. Tonicia chilensis, северный Экотип, Чили, Калфуко, литораль BL 20,6 мм, 16.01.2005, собрал B. Sirenko. A. Головной Щиток вид сверху. B. Щиток V, вид сверху. C. Щиток VIII, вид сверху. D. Щиток VII, вид сверху. E. Щиток V, вид спереди. F. Щиток VIII, вид сбоку.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 2 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 2. Tonicia calbucensis, southern ecotype, South Chile, 42°22'S, 72°25'W, 5–20 m, BL 20.5 mm, 04.01.2005, leg. B. Sirenko. A. Valve I, dorsal view. B. Valve V, dorsal view. C. Valve VIII, dorsal view. D. Valve VII, detail of tegmentum in central area. E. Valve VII, rostral view. F. Valve VIII, lateral view. РИС. 2. Tonicia calbucensis, южный Экотип, южное Чили, 42°22'S, 72°25'W, 5–20 м, BL 20,5 мм, 04.01.2005, собрал B. Sirenko. A. Головной Щиток вид сверху. B. Щиток V, вид сверху. C. Щиток VIII, вид сверху. D. Щиток VII, деталь тегментума в центральном поле. E. Щиток VII, вид спереди. F. Щиток VIII, вид сбоку.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 8 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 8. Tonicia calbucensis, northern ecotype, Chile, Las Cruces, intertidal, BL 16.9 mm, 18.11.2008, leg. B. Sirenko. A. Valve I, dorsal view. B. Valve VI, dorsal view. C. Valve VIII, dorsal view. D. Valve VI, jugal area. E. Valve VI, rostral view. F. Valve VIII, lateral view. РИС. 8. Tonicia calbucensis, северный Экотип, Чили, Лас Крусес, литораль, BL 16,9 мм, 18.11.2008, собрал B. Sirenko. A. Головной Щиток вид сверху. B. Щиток VI, вид сверху. C. Щиток VIII, вид сверху. D. Щиток VI,.югальное поле. E. Щиток VI, вид спереди. F. Щиток VIII, вид сбоку.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 1 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 1. Photos of live specimens of Tonicia calbucensis. A. Northern ecotype, Coquimbo (~29°S). B. Northern ecotype, Talcahuano (~36°S). C. Southern ecotype, Huinay (~41°S). D. Southern ecotype Valdivia (~39°S). РИС. 1. Фотографии живых ЭкЗемплЯров Tonicia calbucensis. A. Северный Экотип, Коквимбо (~29°S). B. Северный Экотип, Талькахуано, (~36°S). C. Южный Экотип, Уйнай (~41°S). D. Южный Экотип, ВальдивиЯ (~39°S).

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 3 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 3. Tonicia calbucensis, southern ecotype, South Chile, 42°22'S, 72°25'W, 5–20 m, BL 20.5 mm, 04.01.2005, leg. B. Sirenko. A. Valve VII, jugal area. B, D. Dorsal spicules. C. Dorsal, marginal and ventral spicules. РИС. 3. Tonicia calbucensis, южный Экотип, южное Чили, 42°22'S, 72°25'W, 5–20 м, BL 20,5 мм, 04.01.2005, собрал B. Sirenko. A. Щиток VII, югальное поле. B, D. Дорсальные спикулы. C. Дорсальные, маргинальные и вентральные спикулы.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 15 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 15. Tonicia chilensis, southern ecotype, Chile, Magellan Strait, 53°37'S, 70°56'W, 0.5–3.0 m, BL 18.5 mm, 18.05.2000, leg. B. Sirenko. A. Valve I, dorsal view. B. Valve II, dorsal view. C. Valve V, dorsal view. D. Valve VIII, dorsal view. E. Valve V, jugal and pleural areas. F. Valve V, rostral view. G. Valve VIII, lateral view. РИС. 15. Tonicia chilensis, южный Экотип, Чили, пролив Магеллана, 53°37'S, 70°56'W, 0.5–3.0 m, BL 18.5 mm, 18.05.2000, собрал. B. Sirenko. A. Головной Щиток вид сверху. B. Щиток II, вид сверху. C. Щиток V, вид сверху. D. Щиток VIII, вид сверху. E. Щиток V, югальное и плевральное полЯ. F. Щиток V, вид спереди. G. Щиток VIII, вид сбоку.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 17 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 17. Shape differences in Tonicia ecotypes, resulting from combined principal components analysis. The two species studied are shown in different colors. A. Tonicia calbucensis. B. Tonicia chilensis. РИС. 17. РаЗличиЯ в форме Экотипов Tonicia, полученные в реЗультате комбинированного аналиЗа основных компонентов. Два иЗученных вида покаЗаны раЗными цветами. A. Tonicia calbucensis. B. Tonicia chilensis.

opencc-by-4.0Jan 2023View details →
zenodo40/100

FIG. 14 in Comparative morphology of Tonicia (Polyplacophora) geographical ecotypes from Southeastern Pacific

FIG. 14. Tonicia chilensis, northern ecotype, Chile, Calfuco, intertidal, BL 20.6 mm, 16.01.2005, leg. B. Sirenko. A, B. Radula. РИС. 14. Tonicia chilensis, северный Экотип, Чили, Калфуко, литораль BL 20,6 мм, 16.01.2005, собрал B. Sirenko. A, B. Радула.

opencc-by-4.0Jan 2023View details →
zenodo40/100

PERFORMANCE OF MACHINE LEARNING ALGORITHMS FOR LUNG CANCER PREDICTION: A COMPARATIVE STUDY

<p>This study compares the performance of five machine learning algorithms&mdash;logistic regression, support vector machines, random forests, gradient boosting, and neural networks&mdash;for lung cancer prediction using demographic, lifestyle, and medical data from the UCI Machine Learning Repository. Gradient boosting and random forests achieved the highest accuracy (89% and 87%, respectively) and AUC-ROC scores (0.93 and 0.92), while neural networks reached 90% accuracy but presented interpretability limitations. Key predictors included smoking history, chronic disease, and respiratory symptoms, aligning with established risk factors. Ensemble methods, particularly gradient boosting and random forests, provided an optimal balance of accuracy and interpretability, highlighting their potential for clinical applications in early lung cancer detection.</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

POTENTIAL ENVIRONMENTAL IMPACTS OF SOLID WASTE MANAGEMENT IN YOGYAKARTA, INDONESIA: A COMPARATIVE STUDY USING LIFE CYCLE ASSESSMENT

<p>Life Cycle Assessment (LCA) serves as a tool to estimate the potential impacts of a waste management system. Sleman Regency needs a scenario of waste management with a lower environmental impact. The present study aims to determine the potential impact of the existing business as usual (BAU) waste management practice in Sleman Regency and compare it with several alternatives to waste management strategies. The LCA method was applied following ISO 14040 and ISO 14044 standards. The impact was assessed using the CML-1A Baseline and ILCD 2011 Midpoint+ methods, along with data from the Ecoinvent database. In the BAU scenario, the impact values observed in every 1 ton of waste managed were Global Warming Potential (GWP) of 4.90E+03 kg CO2 eq, Acidification Potential (ADP) of 2.78E-03 kg SO2 eq, Eutrophication Potential (EP) of 4.92E-02 kg PO4-eq, Human Toxicity Potential (HTP) of 2.06E+01 kg 1.4 DB eq, and Land Use Potential (LUP) of 4.71E+01 kg C deficit. Processing waste into biomass pellets and Refuse Derived Fuel accompanied by waste reduction could decrease the GWP value to 34.04 kg CO2 eq, ADP to 2.96E-06 kg SO2 eq, EP to 7.33E-05 kg PO4-eq, HTP to 3.70E-04 kg 1.4 DB eq, and LUP to 2.11E-03 kg C deficit. The results of waste management with the lowest impact value can serve as a reference for formulating waste management policies in the study area.</p>

opencc-by-4.0Nov 2024View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.