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.
582
datasets available to search
ShareScore release 0.7.1
Dataset results
582 results for “Cenozoic”
Data Product for "Toward a Cenozoic history of atmospheric CO2"
<p>These data were vetted and revised from published paleo-CO2 data (original estimates archived at https://zenodo.org/uploads/8052599) by an international group of proxy experts supported through an NSF-funded Research Coordination Network. It brings together paleo-CO2 reconstruction data from terrestrial and marine archives, and the compilation includes estimates derived from multiple proxies including Phytoplankton, Boron, Stomatal Frequencies, Leaf Gas Exchange, Liverworts, Land Plant d13C, Paleosols, and Nahcolite. Data are visualized in an interactive product plot made available on the Paleo-CO2 project web page at (https://www.paleo-co2.org) and are also archived in the NCDC database (<a href="https://www.ncei.noaa.gov/pub/data/paleo/climate_forcing/trace_gases/Paleo-pCO2/product_files/">https://www.ncei.noaa.gov/pub/data/paleo/climate_forcing/trace_gases/Paleo-pCO2/product_files/</a>). </p>
Simulated Geomorphically Relevant Palaeoclimate Variables for the Late Cenozoic (from Mutz and Ehlers, 2019)
<p><strong>Contents Description: (see more details in file header)</strong><br> The files contains long term means of several variables derived from an ECHAM5 palaeoclimate simulation. Details about the type of means and simulations are given in the file name (see explanation below). For information about the simulation setup and boundary conditions, we refer the user to the Mutz et al. (2018) publication. For details about the construction of contained variables, we refer the reader to the Mutz and Ehlers (2019) publication. Data package <em>alterm</em> contains long term annual means, whereas package <em>mlterm</em> contains long term monthly means. The variables included in the data packages are:</p> <p>- csfd: consecutive freezing days (days)<br> - fthd: freeze thaw days (days)<br> - cswd: consecutive wet days (days)<br> - csdd: consecutive dry days (days)<br> - t2am: 2m air temperature amplitude (°C)<br> - tsam: surface temperature amplitude (°C)<br> - pamp: precipitation amplitude (mm/day)<br> - pmax: maximum daily precipitation (mm/day)</p> <p><strong>Publications:</strong><br> <em>Derived Variables (contained in these files):</em><br> Mutz S.G. and Ehlers T. A. (2019). Detection and Explanation of Spatiotemporal Patterns in Late Cenozoic Palaeoclimate Change Relevant to Earth Surface Processes. Earth Surface Dynamics. doi.org/10.5194/esurf-7-663-2019</p> <p><em>Original Simulations:</em><br> Mutz S.G., Ehlers T. A., Werner M., Lohmann G., Stepanek C., Li J., (2018). Estimates of Late Cenozoic climate change relevant to Earth surface processes in tectonically active orogens. Earth Surface Dynamics. doi.org/10.5194/esurf-6-271-2018</p> <p><strong>Authors:</strong><br> Mutz S.G., Ehlers T. A.</p> <p><strong>License:</strong><br> This work is distributed under the Creative Commons Attribution 4.0 International License</p> <p><strong>Format:</strong><br> netCDF (.nc)</p> <p><strong>File Names (nc):</strong><br> [publication]_[experiment ID]_[time period]_[horizontal resolution][vertical resolution]_[means].nc<br> </p> <table> <tbody> <tr> <td>experiment ID</td> <td>usually a letter followed by 3-5 digits, e007_2 (pre-industrial), e008 (Mid-Holocene), e009 (Last Glacial Maximum), e010 (Pliocene)</td> </tr> <tr> <td>time period</td> <td>PI (pre-industrial), MH (Mid-Holocene), LGM (Last Glacial Maximum), PLIO (Pliocene)</td> </tr> <tr> <td>horizontal resolution</td> <td>spectral resolution, t followed by a number, e.g. t159</td> </tr> <tr> <td>vertical resolution</td> <td>number of vertical levels, l followed by a number, e.g. l31</td> </tr> <tr> <td>means</td> <td>alterm (annual long term means) or mlterm (monthly long term means)</td> </tr> </tbody> </table> <p><br> <strong>Correspondence:</strong><br> Sebastian G. Mutz (sebastian@sebastianmutz.com)</p> <p> </p>
Palaeoclimate Simulations for the Late Cenozoic (from Mutz et al. 2018)
<p><strong>Contents Description: (see more details in file header)</strong><br> The files contain means of several variables from a ECHAM5 palaeoclimate simulations. Details about the simulation are given in the file name and file header. For information about the simulation setup and boundary conditions, we refer the user to the associated publication.The simulation results are bundled into different packages.</p> <p>Variables included in data package p000:<br> - aprl: large scale precipitation<br> - aprc: convective precipitation<br> - temp2: 2m air temperature<br> - u10: zonal near surface wind speeds<br> - v10: meridional near surface wind speeds</p> <p>Variables included in data package p001:<br> - aprl: large scale precipitation<br> - aprc: convective precipitation<br> - aprt: total precipitation (large scale and convective)<br> - temp2: 2m air temperature<br> - tsurf: surface temperature<br> - srads: net surface solar radiation<br> - ahfl: latent heat flux<br> - evap: evaporation<br> - pe: potential evaporation<br> - q: specific humidity<br> - ws: soil wetness<br> - drain: drainage<br> - runoff: surface runoff and drainage<br> - u10: zonal near surface wind speeds<br> - v10: meridional near surface wind speeds</p> <p>In the package file names, <em>lterm</em> refers to long term monthly means, whereas <em>mm</em> refers to monthly means.</p> <p><strong>Publication: (This is how the data should be cited.)</strong><br> Mutz S.G., Ehlers T. A., Werner M., Lohmann G., Stepanek C., Li J., (2018). Estimates of Late Cenozoic climate change relevant to Earth surface processes in tectonically active orogens. Earth Surface Dynamics. doi.org/10.5194/esurf-6-271-2018</p> <p><strong>Authors:</strong><br> Mutz S.G., Ehlers T. A., Werner M., Lohmann G., Stepanek C., Li J.</p> <p><strong>License:</strong><br> This work is distributed under the Creative Commons Attribution 4.0 International License</p> <p><strong>Format:</strong><br> netCDF (nc)</p> <p><strong>File Names (nc):</strong></p> <p>[<em>publication</em>]_[<em>experiment ID</em>]_[<em>package</em>]_[<em>means</em>].nc</p> <table> <tbody> <tr> <td><em>experiment ID</em></td> <td>usually a letter followed by 3-5 digits, e007_2 (pre-industrial), e008 (Mid-Holocene), e009 (Last Glacial Maximum), e010 (Pliocene)</td> </tr> <tr> <td><em>package</em></td> <td>p000 for selection of basic model variables, p001 for additional variables (constructed from other model variables)</td> </tr> <tr> <td><em>mean</em></td> <td>lterm for long term monthly means, mm for monthly means</td> </tr> </tbody> </table> <p> </p><p><strong>Correspondence:</strong><br> Sebastian G. Mutz (sebastian@sebastianmutz.com)</p> <p></p> <p> </p>
Fig. 1 in The first Cenozoic roproniid wasp from the Paleocene of Menat, France (Hymenoptera: Proctotrupoidea)
Fig. 1. Paleoropronia salamonei gen. et sp. nov., holotype (MNHN.F.A57266), right fore wing. A. Photograph. B. Photograph under alcohol. C. Reconstruction. Scale bars: A–B = 1 mm; C = 0.5 mm.
Fig. 4 in The first Cenozoic roproniid wasp from the Paleocene of Menat, France (Hymenoptera: Proctotrupoidea)
Fig. 4. Paleoropronia salamonei gen. et sp. nov., holotype (MNHN.F.A57266). A. Pterostigma. B. Detail of cuticle of the pterostigma. Scale bars: A = 200 µm; B = 20 µm.
Fig. 3 in The first Cenozoic roproniid wasp from the Paleocene of Menat, France (Hymenoptera: Proctotrupoidea)
Fig. 3. Paleoropronia salamonei gen. et sp. nov., holotype (MNHN.F.A57266). A. Right fore wing base. B. Head and thorax. Scale bars: 1 mm.
Fig. 2 in The first Cenozoic roproniid wasp from the Paleocene of Menat, France (Hymenoptera: Proctotrupoidea)
Fig. 2. Paleoropronia salamonei gen. et sp. nov., holotype (MNHN.F.A57266), SEM photograph of habitus (arrow = first metasomal segment). Scale bar: 2 mm.
FIG. 3. — A, B in The Cenozoic lizard record of the Pampean Region
FIG. 3. — A, B, Huayquerian caudal vertebra of Tupinambis sp. (GHUNLPam 2313) in anterior (A) and lateral (B) views; C, Huayquerian right dentary of Ameiva Meyer, 1795 or Kentropyx Spix, 1825 (GHUNLPam 21745) in lateral view; D, Montehermosan right dentary of Tupinambis sp. (MACN 14311) in lateral view; E, Montehermosan left dentary of Tupinambis sp. (MACN 14313) in lateral view; F, Montehermosan left hemimadible of Tupinambis sp. (MACN 14312) in lateral view; G-I, Montehermosan Callopistes bicuspidatus (PVL 4818), frontal in dorsal view (G), partial skull in lateral view (H) and left hemimandible in medial view (I); J, Marplatan left dentary of Tupinambis sp. (MACN 17136) in medial view. Scale bars: A, B, D-F, J, 5 mm; C, 1 mm; G-I, 2 mm.
FIG. 10 in Climatic evolution in Western Europe during the Cenozoic: insights from historical collections using leaf physiognomy
FIG. 10. — Evolution of Mean Annual Temperature (MAT), Cold Month Mean Temperature (CMMT), Warm Month Mean Temperature (WMMT) and Mean Annual Precipitation (MAP) in Europe using CLAMP (black dots). For comparison, results obtained with CA are displayed in grey (adapted from Mosbrugger et al. 2005). Abbreviations: MEN, Menat; GEL, Gelinden; SEZ, Sézanne; CEL, Célas; ARM, Armissan; AIX, Aix-en-Provence; SB, Saint-Bauzile. Numerical values are from Table 3. For Gelinden, Sézanne and Armissan, the results from CLAMP analysis using Asia1 calibration are displayed. For all other localities, the results from CLAMP analysis using BR calibration are displayed.
FIG. 2 in Climatic evolution in Western Europe during the Cenozoic: insights from historical collections using leaf physiognomy
FIG. 2. — Gelinden paleoflora (mid- to late Selandian, Paleocene): A, Quercus odontophylla Saporta & Marion (IRSNB, 68151); B, Quercus loozi Saporta & Marion (IRSNB, 68170); C, Dryophyllum curticellense Saporta & Marion (IRSNB, 68384); D, Dryophyllum dewalquei Saporta & Marion (MNHN.F.13628); E, Quercus diplodon Saporta & Marion (MNHN.F.13644); F, Celastrophyllum sp. (Université de Liège, 2625); G, Dewalquea gelindenensis Saporta & Marion (IRSNB, 68142); H, Quercus palaeodrys Saporta & Marion (IRSNB, 68154); I, Cinnamomum ellipsoideum Saporta & Marion (MNHN.F.13677); J, Posidonia perforata Saporta & Marion (IRSNB, 68335); K, Aralia transversinervia Saporta & Marion (IRSNB, 68239); L, Aralia looziana Saporta & Marion (IRSNB, 68242); M, Litsea elatinervis Saporta & Marion (IRSNB, 68033); N, Pasianopsis retinervis Saporta & Marion (IRSNB, 67045); O, Mac-Clintockia heersiennsis Saporta & Marion (IRSNB, 68034); P, Salix longinqua Saporta & Marion (IRSNB, 68227). Scale bars: A, B: 1 cm; C-P, 2 cm.
Figure 2 in New Cenozoic dragonflies from the Most Basin and Středohoří Complex volcanic area (Czech Republic, Germany)
Figure 2. Aeshna zlatkokvaceki sp. nov. (Aeshnidae) (A) Photograph of holotype specimen SMMG CsT 1091 (Senckenberg Naturhistorische Sammlungen Dresden coll., Germany), imprint only; (B) line drawing of fore wing. Scale bars represent 5 mm.
An updated generic classification of Cenozoic pleurotomariid gastropods, with new records from the Oligocene and Early Miocene of India
<p>Although taxonomically distinct, the Cenozoic pleurotomariids are the bottlenecked remnants of the Mesozoic members of the family in terms of morphology, with only conical forms surviving the end-Cretaceous mass extinction. Here, we propose an updated classification scheme for the Cenozoic representatives of this group, based on data from the entire Cenozoic pleurotomariid fossil record. We consider all conventional as well as several new characters so that this scheme can readily help to distinguish Cenozoic pleurotomariid genera. Following the new classification scheme, a revision of the generic status of Cenozoic species previously assigned to '<i>Pleurotomaria</i>' Defrance, 1826 is presented. Only a few Cenozoic pleurotomariid gastropods have been reported from the Indian subcontinent. Here we report four species from the Oligocene of the Kutch Basin and the Early Miocene (Burdigalian) of the Dwarka Basin of Gujarat, western India, of which two are described as new: <i>Perotrochus bermotiensis</i> n. sp. in the genus <i>Perotrochus</i> Fischer, 1885, and <i>Entemnotrochus kathiawarensis</i> n. sp., <em>Entemnotrochus </em>cf. <i>bianconii</i>, and <i>Entemnotrochus</i>? sp. 1 in the genus <i>Entemnotrochus</i> Fischer, 1885.</p>
FIG. 1. — A in Palaeogeographic evolution of northwestern Europe during the Upper Cenozoic
FIG. 1. — A, map of the geodynamic domains from the investigated region of western Europe, modified from Mansy et al. in press; B, location of the main sites.
Fig. 4 in A new coleopterous family Wabbelidae fam. nov. (Coleoptera: Cucujoidea) from Baltic amber (Cenozoic, Paleogene, Eocene)
Fig. 4. Wabbel cerebricavus gen. et sp. nov.: A - Abdomen, thorax and head ventrally; B - Meso-, metathorax and abdomen (schematically).
Fig. 6 in A new coleopterous family Wabbelidae fam. nov. (Coleoptera: Cucujoidea) from Baltic amber (Cenozoic, Paleogene, Eocene)
Fig. 6. Wabbel cerebricavus gen.et sp.nov. Forebody ventro-laterally: (1) compound eye [small]; (2) gula [wide]; (3) gular sutures [complete]; (4) notosternal suture [complete]; (5) pronotal border [present]; (6) procoxae [transverse, i.e. longer than wide]; (7) prosternal process [wide]; (8) hypomeron; (9) protrochanter; (10) elytral epipleuron
Supplementary Information for Biogeography a key influence on distal forelimb variation in horses through the Cenozoic
<p>Locomotion in terrestrial tetrapods is reliant on interactions between distal limb bones (e.g. metapodials and phalanges). The metapodial-phalangeal joint in horse (Equidae) limbs is highly specialised, facilitating vital functions (shock absorption; elastic recoil). While joint shape has changed throughout horse evolution, potential drivers of these modifications have not been quantitatively assessed. Here, I examine the morphology of the forelimb metacarpophalangeal (MCP) joint of horses and their extinct kin (palaeotheres) using geometric morphometrics and disparity analyses, within a phylogenetic context. I also develop a novel alignment protocol that explores magnitude of shape change through time, correlated against body mass and diet. MCP shape was poorly correlated with mass or diet proxies, although significant temporal correlations were detected at 0–1 Ma intervals. A clear division was recovered between New and Old World hipparionin MCP morphologies. Significant changes in MCP disparity and high rates of shape divergence were observed during the Great American Biotic Interchange, with the MCP joint becoming broad and robust in two separate monodactyl lineages, possibly exhibiting novel locomotor behaviour. This large scale study of MCP joint shape demonstrates the apparent capacity for horses to rapidly change their distal limb morphology to overcome discrete locomotor challenges in new habitats. </p>
APPENDIX 1 in Inventory of Cenozoic radiolarian species (Class Polycystinea) - 1834-2020
APPENDIX 1. — Cenozoic part of the International Chronostratigraphic, showing the subseries/subepoch scheme for the Paleogene and for the Neogene. Despite the wide use in the Cenozoic literature, the subseries/subepochs ranks are not yet officially accepted by the International Commission on Stratigraphy (with the exception for the Holocene and Pleistocene series). Since the beginning of this revision work, we have preferred to use the rank of "subseries" for the ages of the genera in this genera catalogue, as well as for the species in the appendices. We think that there are many solid reasons to keep using the subseries; even though, they have yet to be formally defined. Modified from Head et al. 2017 (see there a good discussion and proposal) and from the ICS International Chronostratigraphic Chart, July 2021 (http://www.stratigraphy.org/ICSchart/ChronostratChart2021-07.pdf). Abbreviations:L/E, Lower/Early;M, Middle;U/L, Upper/Late;e, early;l, late. Bold stages/ages are ratified by the Global Boundary Stratotype Section and Points (GSSP). Italic fonts indicate informal units and placeholders for unnamed units.
Model data repository of "Styles of Trench-parallel Mid-ocean Ridge Subduction Affect Cenozoic Geological Evolution in circum-Pacific Continental Margins"
<p>This dataset contains the data used in Wu et al. (2022): "Styles of Trench-parallel Mid-ocean Ridge Subduction Affect Cenozoic Geological Evolution in circum-Pacific Continental Margins".</p>
FIG. 5 in Mud lobster Thalassina Latreille, 1806 (Decapoda: Gebiidea: Thalassinidae), its Cenozoic occurrences in Italy and palaeobiogeography
FIG. 5. — Disputed fossil occurrences of Thalassina Latreille, 1806 (see the text for more details): A, Thalassina grandidactylus Robineau-Desvoidy, 1849 from the 'Neocomian' of France (refigured from Robineau-Desvoidy 1849: pl. 5, fig. 16); B, Thalassina sp. from the Pliocene of Italy (refigured from Ristori 1891: pl. 1, fig. 16); C, Thalassina sp. from the Pliocene of Italy (refigured from Ristori 1891: pl. 1, fig. 17).
FIG. 3 in Mud lobster Thalassina Latreille, 1806 (Decapoda: Gebiidea: Thalassinidae), its Cenozoic occurrences in Italy and palaeobiogeography
FIG. 3. — Thalassina sp. from the lower Oligocene of Salcedo, Italy, MCZ.4516-I.G.367044: A, flattened, almost complete specimen in natural light; B, interpretative drawing. Scale bar: 5 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.