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5,312 results for “New Zealand”
Figure 12. - APlacotrochidescylindrica, holotype, Museum of Tropical Queensland G55627, off Queensland BPlacotrochidesfrustum, holotype, USNM 36451, Lesser Antilles; paratype, NMC, Hudson 4B, Lesser Antilles C Placotrochuslaevis, USNM 81994, Great Barrier Reef, Australia D Falcatoflabellumraoulensis, upper image, holotype, Museum of New Zealand, CO 258, Kermadec Ridge; lower images, paratype, USNM 94313, Kermadec Ridge. Scale bars: 1mm (A); 2 mm (B); 10 mm (C), except for basal scar, which is 5 mm; 1 mm (D), except latera view, which is 5 mm.
Figure 12. - APlacotrochidescylindrica, holotype, Museum of Tropical Queensland G55627, off Queensland BPlacotrochidesfrustum, holotype, USNM 36451, Lesser Antilles; paratype, NMC, Hudson 4B, Lesser Antilles C Placotrochuslaevis, USNM 81994, Great Barrier Reef, Australia D Falcatoflabellumraoulensis, upper image, holotype, Museum of New Zealand, CO 258, Kermadec Ridge; lower images, paratype, USNM 94313, Kermadec Ridge. Scale bars: 1mm (A); 2 mm (B); 10 mm (C), except for basal scar, which is 5 mm; 1 mm (D), except latera view, which is 5 mm.
Figure 11. - ATruncatoflabellumarcuatum, lateral and calicular views, holotype, NZOI H633, Norfolk Ridge; edge view, paratype, USNM 94280, Norfolk Ridge B Blastotrochusnutrix, USNM 97553, Siboga, Indonesia C Placotrochidesscaphula, USNM 94273, NZOI G941, New Zealand D Placotrochidesminuta, holotype, Australian Museum G16747, Flores Sea. Scale bars: 10 mm (A–C), except for calice of A and basal scar of B, which are 5 mm; 1 mm (D).
Figure 11. - ATruncatoflabellumarcuatum, lateral and calicular views, holotype, NZOI H633, Norfolk Ridge; edge view, paratype, USNM 94280, Norfolk Ridge B Blastotrochusnutrix, USNM 97553, Siboga, Indonesia C Placotrochidesscaphula, USNM 94273, NZOI G941, New Zealand D Placotrochidesminuta, holotype, Australian Museum G16747, Flores Sea. Scale bars: 10 mm (A–C), except for calice of A and basal scar of B, which are 5 mm; 1 mm (D).
Figure 9. - ATruncatoflabellumparipavoninum, USNM 96650, Soela 1/84/77, Western Australia B Truncatoflabellumstabile, USNM 98886, off Madeira C Truncatoflabellumcorbicula, USNM 67939, NZGS GS1341, Waitaki Valley, New Zealand (Duntroonian = Lower Oligocene) D Truncatoflabelluminconstans, syntypes, Valdivia 100, Zoologisches Museum Berlin. Scale bars: all 10 mm, except for basal scar views of B and C.
Figure 9. - ATruncatoflabellumparipavoninum, USNM 96650, Soela 1/84/77, Western Australia B Truncatoflabellumstabile, USNM 98886, off Madeira C Truncatoflabellumcorbicula, USNM 67939, NZGS GS1341, Waitaki Valley, New Zealand (Duntroonian = Lower Oligocene) D Truncatoflabelluminconstans, syntypes, Valdivia 100, Zoologisches Museum Berlin. Scale bars: all 10 mm, except for basal scar views of B and C.
Ancient mitochondrial genomes unveil the origins and evolutionary history of New Zealand's enigmatic takahe and moho
<p>Many avian species endemic to Aotearoa New Zealand were driven to extinction or reduced to relict populations following successive waves of human arrival, due to hunting, habitat destruction, and the introduction of mammalian predators. Among the affected species were the large flightless South Island takahe (<em>Porphyrio hochstetteri</em>) and the moho (North Island takahe; <em>P. mantelli</em>), with the latter rendered extinct and the former reduced to a single relictual population. Little is known about the evolutionary history of these species prior to their decline and/or extinction. Here we sequenced mitochondrial genomes from takahe and moho subfossils (12 takahe and four moho) and retrieved comparable sequence data from takahemuseum skins (n = 5) and contemporary individuals (n = 17) to examine the phylogeny and recent evolutionary history of these species. Our analyses suggest that prehistoric takahepopulations lacked deep phylogeographic structure, in contrast to moho, which exhibited significant spatial genetic structure, albeit based on limited sample sizes (n = 4). Temporal genetic comparisons show that takahe have lost much of their mitochondrial genetic diversity, likely due to a sudden demographic decline soon after human arrival (~750 years ago). Time-calibrated phylogenetic analyses strongly support a sister-species relationship between takahe and moho, suggesting these flightless taxa diverged around 1.5 million years ago, following a single colonisation of New Zealand by a flighted <em>Porphyrio </em>ancestor approximately four million year ago. This study highlights the utility of palaeogenetic approaches for informing the conservation and systematic understanding of endangered species whose ranges have been severely restricted by anthropogenic impacts.</p>
Figure 10 in Amathillopsidae (Crustacea: Amphipoda) from New Zealand, Including the Description of a New Species
Figure 10. Amathillopsis cf. charlottae Coleman, 1998, male, 21.5 mm, NIWA 84392. Scale 1 mm.
GIS data of urchin barren mapping in Northeastern New Zealand
<p>On shallow rocky reefs in northeastern Aotearoa, New Zealand, urchin barrens are recognised as indicators of the ecosystem effects of overfishing reef predators. Yet, information on their extent and variability is lacking. We use aerial imagery to map the urchin barrens and kelp forests on reefs (<30 m depth) across seven locations, including within two long-established marine reserves and a marine protected area that allows recreational fishing. Urchin barrens were present in all locations and were restricted to reefs <10-16 m deep. This archive contains ArcGIS shapefiles and layer files for all of the maps used in this study. The study area extends from Cape Reinga in the far north of the North Island to Tawharanui in the Hauraki Gulf near Auckland. Regional scale base maps of the prominent marine habitats were included along with the seven fine-scale maps where the kelp forests and urchin barrens were mapped.</p>
Detrended and corrected GNSS data from Lake Taupō, New Zealand, 2014–2021
<p>If using this data please cite the following publication:</p> <p>Schuler, J., Hreinsdóttir, S., Illsley-Kemp, F., Holden, C., Townend, J., Villamor, P. The response of Taupō Volcano to the M7.8 Kaikōura Earthquake. <em>Journal of Geophysical Research - Solid</em> <em>Earth. </em>2024.</p> <p>Also refer to this publication for full details on the methods used to derive the dataset. </p>
FIGURE 1 in Comparative performance of a multi-locus barcoding approach to enhance taxonomic resolution of New Zealand mosquitoes (Diptera: Culicidae)
FIGURE 1 (Continued)
FIGURE 2 in A vanished ecosystem: Sophora microphylla (Kōwhai) dominated forest recorded in mid-late Holocene rock shelters in Central Otago, New Zealand
FIGURE 2. The Kawarau Region, showing shelter locations (red dots) along the Kawarau River.
Propagational Isotropy of Large Scale Traveling Ionospheric Disturbances Over Australia And New Zealand due to the 2022 Tonga Volcanic Eruption
<p>This data repository contains global TEC processed data from 14 - 16 January 2022. The original data were obtained from the GNSS-TEC database available at https://stdb2.isee.nagoya-u.ac.jp/GPS/GPS-TEC/ provided by the Institute for Space-Earth Environment Research, Nagoya University. The data is in .mat format (binary Matlab file) with the following data matrices:</p> <ol> <li>Coordinates (geographic coordinates - Latitude, Longitude)</li> <li>dTEC1 (detrended TEC)</li> <li>TimeTEC_combined (time series absolute TEC for each geographic coordinate)</li> </ol> <p>Data has a time resolution of 5 min in each column. </p>
Drumbeat and low frequency catalogue for 2022 unrest at Ruapehu volcano, New Zealand
<p>This data set contains csv files for different types of seismic signal observed at Ruapehu volcano during the unrest event of 2022.</p> <p>This data is associated with the following paper, if you are using it please cite appropriately:</p> <p>Bramwell, L.A., Illsley-Kemp, F., Hughes, E.C., Butcher, S., Lamb, O.D. and Behr, Y., 2025. Source dynamics of Ruapehu’s 2022 volcanic unrest: insights from drumbeat seismicity, tremor, and crater lake signals. <em>Bulletin of Volcanology</em>, <em>87</em>(6), p.44.</p>
Figure 7 in Two species of Acaricis (Acari: Tenuipalpidae) from New Zealand, moved from the genus Tenuipalpus, with a key to the known species
Figure 7 Acaricis alpinus (Collyer) female. A – ventral opisthosoma; B – ventral infracapitulum.
Figure 5 in Two species of Acaricis (Acari: Tenuipalpidae) from New Zealand, moved from the genus Tenuipalpus, with a key to the known species
Figure 5 Acaricis alpinus (Collyer) A – female: dorsum; B – male: dorsum.
Seafloor pressure data from 2019 deployment at the Hikurangi subduction zone, New Zealand
<p>We include here hourly seafloor pressure time series (and locations) from a 2019 deployment at the Hikurangi subduction zone, used in "Using seafloor geodesy to detect vertical deformation at the Hikurangi subduction zone: insights from self-calibrating pressure sensors and ocean general circulation models", a paper submitted to JGR: Solid Earth in January 2022.</p> <p><strong>APG_hikurangi_2019.json/.mat: </strong>Seafloor pressure time series data (JSON and MATLAB format) from a deployment at the Hikurangi subduction zone in 2019. The files contain the hourly time series in datetime (UTC) and pressure in hectopascals, with the convention that a decrease in pressure is equivalent to a reduction in the height of the water column (seafloor uplift).</p> <p>The only processing that has been applied to the data is filtering using a 2-day corner lowpass filter for all sites, and the A-0-A correction for the POBS sensors (which are therefore drift corrected). All APGs not equipped with A-0-A still contain sensor drift. Each time series has been adjusted using the mean of the absolute data, which is why the time series for the sites plot about zero - amplitude has been preserved.</p> <p><strong>locations_APG_hikurangi_2019.csv: </strong>Locations of the seafloor pressure sites from a deployment at the Hikurangi subduction zone in 2019. Indicated for each site are the sensor’s institute (UTIG - University of Texas Institute for Geophysics, Austin, USA; GNS Science - GNS Science, New Zealand; LDEO - Lamont-Doherty Earth Observatory, Columbia University, USA; KU - Kyoto University and Tohoku University, Japan), A-0-A drift correction capability, deployment longitude, latitude, and depth, and whether there are usable data. The sensors without usable data either contained data logger issues or were not recovered, and are not included in APG_hikurangi_2019.json/.mat.</p>
New Zealand Cattle Detection
<p>Remote sensing dataset for detecting cows from high resolution aerial images.</p> <p>Images: Aerial RGB images with spatial resolution of 0.1m. 500 x 500 pixels corresponding to 50m x 50m<br> Label: point annotation of each visible cattle in the image<br> Image Sources: Land Information New Zealand 2016-2019<br> Total number of images: 655<br> Total number of cows in all images: 29803</p> <p><em>Contains data sourced from the <a href="https://data.linz.govt.nz/">LINZ Data Service</a> licensed for reuse under <a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a></em></p>
Physiological host range of three Trissolcus parasitoids in New Zealand
<p>This archive contains a 'data' folder holding an Excel workbook with the results of no-choice oviposition experiments conducted with Trissolcus basalis (Wollaston) & Trissolcus oenone (Dodd) (Scelionidae: Hymenoptera) and New Zealand species of Pentatomidae. Trissolcus basalis is a biological control agent released in New Zealand in 1949 against Nezara viridula L., and Trissolcus oenone is a native parasitoid also present in Australia. This is the first time the physiological host ranges of each parasitoid have been established quantitatively in New Zealand, and for Trissolcus basalis, this study provides a retrospective view of its physiological host range after 80 years in the country. This workbook also contains a second sheet holding a combined dataset - a combination of results from the previously mentioned study and those from:</p> <p>"Experimental assessment of the biosafety of Trissolcus japonicus in New Zealand, prior to the anticipated arrival of the invasive pest Halyomorpha halys" (DOI: 10.1007/s10526-019-09949-x).</p> <p>The archive also contains a 'src' folder containing an R markdown file with the R code used to perform analyses.</p>
Fig. 1 in The Relationship Between Fish Length And Otolith Size And Weight Of The Australian Anchovy, Engraulis Australis (Clupeiformes, Engraulidae), Retrieved From The Food Of The Australasian Gannet, Morus Serrator (Suliformes, Sulidae), Hauraki Gulf, New Zealand
Fig. 1. Map showing the location of the gannet's colonies in
The initiation and growth of transpressional shear zones through continental arc lithosphere, southwest New Zealand
<p class="Abstract">Structural analyses combined with new U-Pb zircon and titanite geochronology show how two Early Cretaceous transpressional shear zones initiated and grew through a nearly complete section of continental arc crust during oblique convergence. Both shear zones reactivated Carboniferous faults that penetrated the upper mantle below Zealandia's Median Batholith but show opposite growth patterns and dissimilar relationships with respect to arc magmatism. The Grebe-Indecision Creek shear zone was magma-starved and first reactivated at ~136 Ma as an oblique-reverse fault, along which an outboard batholith partially subducted beneath Gondwana. This system nucleated at or above ~20 km depth and propagated downward at 2-3 mm yr<sup>-1</sup>, accumulating at least 35-45 km of horizontal (arc-normal) shortening by ~124 Ma. In contrast, the magma-rich George Sound shear zone first reactivated in the lower crust (~55 km depth) at ~124 Ma and grew upward at ~3 mm yr<sup>-1</sup>, reaching the upper crust by ~110 Ma. In this latter system, magmatism influenced shear zone architecture and drove its growth while subduction and oblique convergence ended. As magma entered the roots of the system and began to solidify, deformation was driven out of the lower crust and into the middle crust where the system widened by a factor of three when fold-thrust belts formed on either side of a steep, central transpressional shear zone. This study illustrates how the reactivation of inherited structural weaknesses localizes deformation at all depths in the lithosphere and shows how magma-deformation feedbacks influence shear zone connectivity and built a batholith from the bottom up.</p>
Molecular data and analysis specifications for a study on Atriophallophorus parasites from New Zealand
<p>This dataset accompanies the manuscript "Phylogeography and Cryptic Species Structure of a Locally Adapted Parasite in New Zealand". In our study we have shown that multiple species of the trematode parasite from the <em>Atriophallophorus</em> genus co-exist within the same lakes. When focusing on the most common of these species, <em>Atriophallophorus winterbourni</em>, we found that the Southern Alps and Pleistocene glaciation are a likely explanation for its phylogeographic patterns.</p> <p>This dataset consists of three parts: (I) An Excel file containing SNP data, all sample information and the output of phylogeographic analysis with MASCOT<sup>1</sup>, (II) all sequence alignments, including NADH5, 28S, ITS2 and COI, as they are used for the manuscript and (III) input files for the various analyses as they were prepared for the analysis.</p> <p><sup>1</sup>MASCOT: marginal approximation of the structured coalescent as implemented in BEAST2</p>
Data in support of Using target sequence capture to improve the phylogenetic resolution of a rapid radiation in New Zealand Veronica
<p>Includes alignments and trees for the analysis found in Thomas et al. 2021, Using target sequence capture to improve the phylogenetic resolution of a rapid radiation in New Zealand Veronica; American Journal of Botany, Special Issue: Exploring Angiosperms353: a Universal Toolkit for Flowering Plant Phylogenomics. Alignments comprise subsets of Angiosperms353 genes given each filtering scheme (full, intersection, sortadate_BP, sortadate_TL) and gene type/subset (exons, introns, supercontigs), and for markers downloaded from GenBank, as explained in the Methods section of Thomas et al. 2021. Trees were included for each of these alignments from IQtree and Astral; SVDquartets tree was only estimated for the full set of supercontigs. Gene trees were generated with IQtree. Tree files are named differently than the final manuscript; refer to the number of genes specified in Fig 1 of Thomas et al, 2021 and specified in each filename to identify filtering scheme. Raw sequence reads are available on the Sequence Read Archive at <a href="http://www.ncbi.nlm.nih.gov/bioproject/715342">http://www.ncbi.nlm.nih.gov/bioproject/715342</a>.</p>
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OpenNeuro
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