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.
5,312
datasets available to search
ShareScore release 0.7.1
Dataset results
5,312 results for “New Zealand”
Genome evolution and introgression in the New Zealand mud snails Potamopyrgus estuarinus and Potamopyrgus kaitunuparaoa
<p>We have sequenced, assembled, and analyzed the nuclear and mitochondrial genomes and transcriptomes of <i>Potamopyrgus estuarinus</i> and <i>Potamopyrgus kaitunuparaoa</i>, two prosobranch snail species native to New Zealand that together span the continuum from estuary to freshwater.<i> </i>These two species are the closest known relatives of the freshwater species <i>P. antipodarum—</i>a model for studying the evolution of sex, host-parasite coevolution, and biological invasiveness—and thus provide key evolutionary context for understanding its unusual biology. The <i>P. estuarinus</i> and <i>P. kaitunuparaoa </i>genomes are very similar in size and overall gene content. Comparative analyses of genome content indicate that these two species harbor a near-identical set of genes involved in meiosis and sperm functions, including seven genes with meiosis-specific functions. These results are consistent with obligate sexual reproduction in these two species and provide a framework for future analyses of <i>P. antipodarum—</i>a species comprising both obligately sexual and obligately asexual lineages, each separately derived from a sexual ancestor. Genome-wide multigene phylogenetic analyses indicate that <i>P. kaitunuparaoa</i> is likely the closest relative to <i>P. antipodarum. </i>We nevertheless show that there has been considerable introgression between <i>P. estuarinus</i> and <i>P. kaitunuparaoa.</i> That introgression does not extend to the mitochondrial genome, which appears to serve as a barrier to hybridization between <i>P. estuarinus </i>and <i>P. kaitunuparaoa.</i> Nuclear-encoded genes whose products function in joint mitochondrial-nuclear enzyme complexes exhibit similar patterns of non-introgression, indicating that incompatibilities between the mitochondrial and the nuclear genome may have prevented more extensive gene flow between these two species.<i> </i> </p>
Sulfate Concentrations and Sulfur Stable Isotope Ratios in Surface Water from the Marlborough and Waipara Winegrowing Regions, South Island of New Zealand, 2023
Agricultural sulfur (S) additions are a major anthropogenic source of S to the environment, yet our understanding of the downstream transformations and potential environmental consequences of these S inputs remains incomplete. This dataset includes surface water samples from the Marlborough and Waipara winegrowing regions of the South Island of New Zealand, where frequent applications of S fungicide are widespread. Samples were analyzed for sulfate concentration and S stable isotope ratios – the combination of which forms the S “fingerprint”. We collected surface water samples during the winter of 2023 from a variety of different locations and land use types, including vineyards, forests, pastures, and urban areas. The data table includes water sample sulfate concentrations, sulfate-S stable isotope measurements, and the S stable isotope composition of commonly used S-containing fungicides and fertilizers for comparison.
Tongariro National Park, New Zealand, plant and carbon data, 2023-2024
These data were collected during the 2023-2024 growing season from the Warming and Removal in Mountains (WaRM) Experiment in Tongariro National Park, New Zealand, which was established in 2015. Passive warming was done with open-top chambers, and the invasive dominant species Calluna vulgaris was removed in a factorial design. Two additional treatments were established in 2022: native removal plots with Dracophyllum subulatum removal and uninvaded plots without C. vulgaris. We measured plant biomass, normalized difference vegetation index (NDVI), and carbon fluxes (net ecosystem exchange, gross primary productivity, and ecosystem respiration), using a LI-7500, at three times across the growing season (November, January, and March). The average leaf thickness of each plot was also measured in January. Air temperature, soil moisture, and surface temperature were also included from the 2023-2024 growing season from TMS-4 probes.
Figure 2: Direct and indirect paths of knowledge transfer to New Zealand to manage sand drifting in the nineteenth and twentieth centuries.
<p>Figure 2 of article: Managing Coastal Sand Drift in the Anthropocene: A Case Study of the Manawatū-Whanganui Dune Field, New Zealand, 1800s–2020s</p> <p>DOI zenodo: 10.5281/zenodo.5075980</p>
New Zealand Wide model 2.3 seismic velocity model for New Zealand
<p><em><span><strong><span>19-Sept-2024</span></strong><span> Full uncompressed versions of the </span>New Zealand Wide 2.3 velocity, Qs and Qp model Tables can be obtained from zenodo.org/records/13799996</span></em></p> <p>New Zealand Wide velocity model 2.3 has seismic velocity for New Zealand developed from local-earthquake tomography studies. It incorporates results from the southern South Island, published in Tectonics, using joint inversion of travel times and ambient noise derived group velocities (Eberhart-Phillips, et al., 2021, 2022). The results from that study have been interpolated and merged into the previous New Zealand Wide model 2.2 (zenodo.org/record/3779523)</p> <p>The model is provided in tables, where the Spread Function (SF) shows the resolution, such that where SF<4, there is little information.</p> <p>vlnzw2p3dnxyzltln.tbl.txt</p> <p>There is also a simul format velocity file.</p> <p>vlnzw2p3.mod.txt</p> <p>And map plots with white lines denoting limits of adequate data, from the 2022 Southern South Island paper, and also for all New Zealand.</p> <p>Figs_SouthernSI_Tect.pdf</p> <p>mapvpvpvsnzw2p3.pdf</p> <p>Velocities any point within the 3D gridded models are defined by linearly interpolating between nodes.</p> <p>The models use Transverse Mercator coordinate transformation with a central meridian= 173, and counterclockwise rotation of 140. Earth-flattening transformation is used for velocity during ray-tracing. The depths are relative to sea-level. Density has been included in the velocity table, by using an empirical relationship (Gardner et al., 1974; Hill, 1978).</p>
New Zealand Hikurangi Margin temperature and pressure loggers - data sets.
<p>Description of data</p> <p>In 2019, 14 RBR data loggers were purchased as a supplement to an existing NSF grant, and were tested, calibrated, and deployed on the Hikurangi Subduction Zone margin as part of the Evan Solomon (UW) deployment of flow meters at this site. The purpose of the Solomon pore fluid analysis program was to determine the impact of Slow Slip Tectonic Events on near-surface fluid flow for this active margin. The purpose of the supplemental RBR loggers, attached directly to fluid flow meters, was to add the key components of pressure and temperature to this data set and specifically to identify any sediment slope failures and turbidity flows that occur during the two year deployment period.</p> <p>By May 6, 2021, all of the Solomon flow meters have been recovered with the attached UW supplemental RBR loggers. The loggers were be subjected to a final ice bath calibration test prior to data-download in New Zealand and all T/P data will be returned to UW via internet. The physical data loggers were then be returned to UW via air freight.</p> <p>The data in these Zenodo data archive files include all of the pre-cruise and post-cruise calibrations fro the RBR T/P loggers, the raw and calibrated data, and the locations of the stations. Also included are some infrastructure information including a multi-channel seismic profile showing that locations on the Hikurangi margin with known fault zones, and a published catalogue of earthquakes that occurred during the logger deployment period.</p> <p> </p>
New Zealand Wide model 2.3 seismic velocity, Qs and Qp Tables
<p><span>This record contains uncompressed files of the tables of the </span>New Zealand Wide 2.3 velocity model, <a href="https://doi.org/10.5281/zenodo.6568301" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.6568301</a>, and New Zealand Wide 2.3 Qs and Qp models, <a href="https://doi.org/10.5281/zenodo.5098356" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.5098356</a>.</p> <p><span>The files in those previous zenodo records were compressed gz files. Some people reported that they were unable to extract the text tables from the gz files.<span> </span>This record has the same tables in full uncompressed format.</span></p>
New Zealand Wide model 2.3 Qs and Qp models for New Zealand, updated for Kaikoura
<p><em><strong><span>19-Sept-2024</span></strong><span> Full uncompressed versions of the </span><span>New Zealand Wide 2.3 velocity, Qs and Qp model Tables can be obtained from zenodo.org/records/13799996</span><br></em></p> <p><em><strong>21-May-2022</strong> There are updated Vp and Vp/Vs models 2.3, which incorporate the results from the Southern South Island region, at zenodo.org/record/6568301 </em></p> <p>The Qs and Qp New Zealand Wide models 2.3 incorporate the results from the Kaikoura region using aftershocks, published in Geophysical Journal International (Eberhart-Phillips, et al. 2021).</p> <p>The results from that study have been interpolated and merged into the previous New Zealand Wide model 2.2 (zenodo.org/record/3779523).</p> <p> </p> <p>The models are provided in tables, where the Spread Function (SF) shows the resolution, such that where SF<4, there is little information.</p> <p>Qpnzw2p3xyzltln.tbl.txt</p> <p>Qsnzw2p3xyzltln.tbl.txt</p> <p> </p> <p>There are also simul format Q files.</p> <p>Qpnzw2p3.mod.txt</p> <p>Qsnzw2p3.mod.txt</p> <p> </p> <p>Map plots of the Q models, resolution and data</p> <p>KaikouraQ_figures.pdf</p> <p> </p> <p>Q at any point within the 3D gridded models is defined by linearly interpolating between nodes.</p> <p>The models use Transverse Mercator coordinate transformation with a central meridian= 173, and counterclockwise rotation of 140. Earth-flattening transformation is used for velocity during ray-tracing. The depths are relative to sea-level.</p> <p> </p> <p>Reference: Eberhart-Phillips, D., S. Ellis, F. Lanza, and S. Bannister (2021), Heterogeneous material properties – as inferred from seismic attenuation - influenced multiple fault rupture and ductile creep of the Kaikoura Mw 7.8 earthquake, New Zealand, <em>Geophys. J. Int.</em>, doi:10.1093/gji/ggab272. </p>
Seismic profiles, diatom and microfossil assemblages, and radiocarbon ages for constructing a post-glacial sea level curve from Fiordland, New Zealand
Two research cruises (12PL027 and 13PL018) were conducted aboard the University of Otago RV Polaris II in 2012 and 2013 to collect marine sediment cores and 2d seismic data as part of a collaborative research effort to study late-Pleistocene and Holocene environmental change in New Zealand. Data includes 4 Boomer seismic profiles, 4 CHIRP seismic profiles, seismic line GPS tracks, diatom assemblages (raw counts and relative abundances) and microfossil assemblages (raw counts and relative abundances), and radiocarbon ages from 4 marine sediment cores. The data used to construct a post-glacial sea level curve for Fiordland, New Zealand are also included, as well as data from published literature plotted for global comparisons. These data accompany the publication: Dlabola. E.K., Wilson, G.S., Gorman, A.R., Riesselman, C.R., and Moy, C.M. 2015. A post-glacial sea-level curve from Fiordland, New Zealand. Global and Planetary Change, 131, 101-114. https://doi.org/10.1016/j.gloplacha.2015.05.010
Limnological data from nearly 400 lakes across the Americas and New Zealand with a focus on vertical profiles of temperature, UV radiation, and optical properties
Two and a half decades of limnological data have been collected from nearly 400 lakes, encompassing a wide range of systems and a broad range of geography. This data set comprises one of the largest and most complete sets of measurements of underwater ultraviolet (UV) transparency available in the world. The data include a suite of 36 variables, with a focus on the optical characteristics. Lakes range from pristine natural lakes to manmade reservoirs. The systems represented in this data set are largely located in North America, from the northeastern United States to Alaska, and alpine and subalpine lakes in the Rocky Mountains of the United States and Canada. Lakes included range from iconic Lake Tahoe, and Castle Lake in northern California, to lakes in the South American Patagonian region, as well as New Zealand. Data were most often collected during the summer, and in some lakes span multiple years (with year-round data since 2006 in Lake Tahoe). The data here are contained in four files, including LakeData.csv, SiteInformation.csv, Methods.csv, and Variables.csv. The main data are in LakeData.csv. SiteInformation.csv, Methods.csv, and Variables.csv support the main data file with descriptions of the sampling sites, methods by which samples were processed, and descriptions of the variables that were measured, respectively. This data set complements the site-intensive limnological data that we published in EDI on 30+ years of data from 3 lakes in the Poconos Mountains region of Pennsylvania, USA. This complementary data set can be accessed at https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=186
A Benchmark Dataset for Semi-Automatic Seismic Interpretation Based on a New Zealand's Seismic Survey
<p>Open access to curated datasets positively impacts on scientific research of machine learning and deep learning techniques. It is a fact that benchmarks and public datasets prepared for data science assist researchers interested in evaluating, testing, and building new data-driven methodologies for specific domain areas.</p> <p>In geosciences, there has been a remarkable growth of public datasets arranged to address machine learning challenges related to the oil and gas industry, particularly for reserves exploration and data interpretation. </p> <p>For these reasons, we present the Taranaki dataset, which is a collection of seismic horizons interpreted for a seismic stratigraphic interpretation study in the Taranaki Basin, offshore New Zealand. This data comprises fourteen seismic horizons that mark stratigraphic discordances in the Tui-3D seismic dataset. We annotated five seismic horizons on 33 inline sections and nine horizons on 19 crossline sections.</p> <p>Besides, we present the results of a series of experiments that compare a method of interpolation and a method of deep learning for seismic segmentation. The deep learning experiments evaluated the result of different image tile sizes to train the model, which is presented separately in this dataset. </p> <p>Finally, we evaluated both methodologies to interpret the horizons of this dataset in selected seismic sections. Also, we assessed the absolute error of each method with the ground truth interpretations proposed in this dataset.</p>
Landslides from Space - Kaikoura Earthquake-triggered Landslides, New Zealand (14th November 2016)
<p>On 14th November 2016 an earthquake with a maginitude of 7.8 triggered multiple landslides. Especially the village of Kaikoura was affected as it was cut off from the rest of New Zealand when its main road, State Highway 1. was blocked through multiple rockfalls and landslides.<br> <br> The pre-event acquisition is from 14th September 2016 (Sentinel-2) and the post-event acquisition is from 15th December 2016 (Sentinel-2).<br> <br> <em>Contains modified Copernicus Sentinel data (2016)</em></p>
Landslides from Space - Landslide between Aickens and Jacksons, New Zealand (18th January 2017)
<p>Heavy rainfall triggered on 18th January 2017 a landslide on the West Coast of New Zealand. The landslide blocked a street and disconnected the villages Aickens and Jacksons.<br> <br> The pre-event acquisition is from 4th January 2017 (Sentinel-2) and the post-event acquisition is from 24th April 2017 (Sentinel-2). A false colour composite with near-infrared, red and green band is visualised as RGB image.<br> <br> <em>Contains modified Copernicus Sentinel data (2017)</em></p>
Intermediate depth earthquakes at the Hikurangi subduction zone, New Zealand
<p>This dataset contains a catalogue of intermediate depth earthquakes in the Hikurangi Subduction Zone, New Zealand, as well as computed focal mechanisms.</p> <p>If you use this dataset please cite the following paper:</p> <p>Mark, O.K., Illsley‐Kemp, F., Townend, J. and Barker, S.J., 2024. Evidence From Intermediate‐Depth Earthquakes of Slab‐Derived Fluids Beneath the Taupō Volcanic Zone. <em>Journal of Geophysical Research: Solid Earth</em>, <em>129</em>(5), p.e2023JB028586.</p>
Geochemical sediment fingerprinting dataset from Oroua river catchment, New Zealand
<p>Geochemical dataset collected to determine key source contributions to overbank sediment deposition for specific particle size fractions as described in "Vale, S., Smith, H., Matthews, A., & Boyte, S. (2020). Determining sediment source contributions to overbank deposits within stopbanks in the Oroua River, New Zealand, using sediment fingerprinting. <i>Journal of Hydrology (New Zealand)</i>, <i>59</i>(2), 147-172." </p>
Supporting Data for "Impacts of Antarctic ice mass loss on New Zealand climate"
<p>Contains the model output necessary to reproduce the results of "Impacts of Antarctic ice mass loss on New Zealand climate" by Andrew G. Pauling, Inga J. Smith, Jeff K. Ridley, T. Martin, M. Thomas and D. P. Stevens. Submitted for publication to Geophysical Research Letters.</p> <p>Please use the "getdata.sh" script in the Github repository here: LINK to download and extract the data into the correct location for the notebooks to reproduce the results of the paper.</p>
Southern South Island, New Zealand, seismic observations and velocity model for Tectonics 2021TC007006
<p>This archive has data and results from the Tectonics paper, “The influence of basement terranes on tectonic deformation: joint earthquake travel-time and ambient noise tomography of the southern South Island, New Zealand” (Eberhart-Phillips et al., 2022; doi:10.1029/2021TC007006). That work incorporated earthquake observations from the 2014-2015 Otago temporary broadband network. Group velocity observations are in ‘groupvel_obs_otaf_T5_T9.vgsw’. We used earthquakes observed on the COSA temporary network. The Otago-COSA travel-times and hypocenters are in ‘tt_archive.tar’. The Otago earthquakes were evaluated within Seiscomp. Those observation files, which include polarity, are in ‘polarity_bulletin.tar’. We did not use the polarities in the Tectonics paper, but we archive them here for completeness. The waveform data will be available from IRIS.</p> <p>The southern South Island 3-D velocity model is provided in the table ‘vlotf30xyzltlnDWSSF.mod’, with DWS (derivative weight sum) describing the distribution of data, and SF (spread function) describing the resolution averaging. Later on, this will be merged into the New Zealand wide velocity model version 2.3, which will be placed on Zenodo.</p>
Dataset for "IRIS analyser assessment reveals sub-hourly variability of isotope ratios in carbon dioxide at Baring Head, New Zealand's atmospheric observatory in the Southern Ocean"
<p>Dataset for</p> <p>Sperlich, P., Brailsford, G. W., Moss, R. C., McGregor, J., Martin, R. J., Nichol, S., Mikaloff-Fletcher, S., Bukosa, B., Mandic, M., Schipper, I., Krummel, P. and Griffiths, A. D.: IRIS analyser assessment reveals sub-hourly variability of isotope ratios in carbon dioxide at Baring Head, New Zealand's atmospheric observatory in the Southern Ocean, Atmos. Meas. Tech., https://doi.org/10.5194/amt-15-1-2022, 2022.</p>
New Zealand Wide model 2.1 seismic velocity model for New Zealand
<p><em><strong>21-May-2022</strong> There are updated Vp and Vp/Vs models 2.3, which incorporate the results from the Southern South Island region, at zenodo.org/record/6568301 </em></p> <p><strong>13-July-2021</strong> There are updated Qp and Qs models 2.3, which incorporate the results from the Kaikoura region, at zenodo.org/record/5098356</p> <p>May 2020. This model has now been updated. Please see NZwide2.2 model which contains 3D seismic velocity and Qs and Qp models, incorporating recent regional 3D studies, at zenodo.org/record/3779523</p> <p>----------------------------------------</p> <p>New Zealand Wide model 2.1 has a seismic velocity model for New Zealand, developed from local-earthquake tomography studies. It is updated to include the Otago model (Reyners et al., 2017).</p>
High water temperature significantly influences swimming performance of New Zealand migratory species
<p>Our study examined how temperature variations affect critical swimming speeds of four migratory species. Higher temperatures (26°C) significantly reduced swimming speeds for three species, emphasising the need for fish passage solutions that consider temperature fluctuations. This is crucial for habitat restoration and freshwater fish preservation, especially in a changing climate. </p>
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.