This dataset contains Biome-BGC v4.2 model outputs of national pasture production forced with present day and 4 future projected CO2 Representative Concentration Pathways (RCP past, 2.6, 4.5, 6.0, and 8.5) taken from the IPCC Fifth Assessment Report. Meteorological inputs used to run the model were downscaled from six different General Circulation Models (GCMs): BCC-CSM1.1, CESM1-CAM5, GFDL-CM3, GISS-EL-R, HadGEM2-ES, and NorESM1-M. Outputs are provided for two different parameterizations of the Biome-BGC model to describe New Zealand’s two dominant types of pasture, dairy and sheep. The model was run at each point on NIWA’s Virtual Climate Station Network (VCSN), a 5 x 5 km national grid. The data consists of daily outputs at each grid box of net primary productivity (NPP), gross primary productivity, net ecosystem productivity (NEP), evapotranspiration (ET), water outflow, evaporation, transpiration, and soil water content, spanning 1971 – 2005 (RCP past) or 2006 – 2100 (RCP 2.6, 4.5, 6.0, and 8.5).

The National Environmental Data Centre (NEDC) online directory http://nedc.nz is a website resource that provides information on environmental datasets for Aotearoa New Zealand and in some places wider coverage. The datasets are each hosted by one of New Zealand's Crown Research Institutes; AgResearch, ESR, GNS Science, Manaaki Whenua Landcare Research, NIWA, Scion and Plant & Food Research. The datasets are categorised in terms of Atmosphere, Biodiversity, Climate, Freshwater, Geology, Land and Ocean themes.

This metadata record represents meteorological data and in situ and isotopic measurements of the isotopic ratio of water vapor from the ablating ice from two lakes in the McMurdo Dry Valleys, Antarctica. Lake ice and water samples (from the surface water and at depth via SCUBA) were collected in vials. Ice samples at Lake Bonney were collected daily, and at Lake Fryxell samples were collected approximately twice per day. Lake ice samples were also collected at Lake Fryxell along three transects spaced approximately every 300 to 500 m (meters) across the lake surface. Water vapor isotope flux measurements were collected via air inlets which were installed at 0.5, 1.0, and 3.0 m on the tower using ¼″ OD Teflon tubes. The lines were insulated and continuously pumped at a flow rate of approximately 10 L min−1 using a secondary pump. Meteorological measurements with a Vaisala HMP100 probe for temperature and relative humidity readings and an RM Young wind vane (model 05108) for wind velocity measurements, at heights of 3.0 and 0.5 m. Air temperature, relative humidity, wind velocity, and lake surface temperature measurements were recorded every minute via a Campbell Scientific CR1000 data logger. Spatial Coordinates: Lake Bonney (-77.60672778, 162.44982222) Lake Fryxell (-77.60672778, 163.12508611) Further details are provided at: A. W. Bellagamba, M. Berkelhammer, L. Winslow, P. T. Doran, K. F. Myers, S. Devlin & I. Hawes (2021) The magnitude and climate sensitivity of isotopic fractionation from ablation of Antarctic Dry Valley lakes, Arctic, Antarctic, and Alpine Research, 53:1, 352-371, https://doi.org/10.1080/15230430.2021.2001899 GET DATA: https://uofi.app.box.com/s/6vakvltbsn1nhrpzudffclrn5iufpoux/folder/88268262341

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 57 Ma (Late Paleocene, late NZ Teurian Stage) are contained in this Feature Class.

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 24 Ma (earliest Miocene, NZ Waitakian Stage) are contained in this Feature Class.

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 04 Ma (Early Pliocene, NZ Opoitian Stage) are contained in this Feature Class.

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 77 Ma (Late Cretaceous, early NZ Haumurian Stage) are contained in this Feature Class.

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 48 Ma (Middle Eocene, NZ Mangaorapan-Heretaungan Stage Boundary) are contained in this Feature Class.

This Feature Class contains paleofacies (i.e. paleoenvironmental) polygon features for sedimentary basins in the Northwest Province (Atlas of Petroleum Prospectivity), namely the Taranaki, Deepwater Taranaki, and Reinga-Northland basins. Features are depicted relative to the modern New Zealand coastline. No palinspastic reconstructions have been undertaken. Polygon features for 35 Ma (latest Eocene, NZ Runangan-Whaingaroan Stage Boundary) are contained in this Feature Class.

The dataset supports a geochemical atlas of Wellington (Morgenstern et al. 2024) and shows the abundance and variability of element concentrations within surficial soil material across the study area. Sampling was undertaken between December 2022 and April 2023 at 151 sites across an area spanning from Paekākāriki and the Remutaka Road Summit to the southern coastline, and from the Remutaka Ranges to the western coastline. Highly urbanised land (domestic and commercial properties) was sampled, as well as a variety of other, more natural land use types (native regenerating park, native park, exotic park, exotic forest, agricultural pasture) for comparison. At each site, two samples were collected using a hand auger: the upper O-depth (0–2 cm) and a shallow A-depth (2–20 cm). Several deeper B-depth (50–70 cm) samples were also collected for statistical analysis. Samples were dried, sieved to <2 mm and split into 15 g sample sizes, before being analysed for a suite of 65 elements (Ag, Al, As, Au, B, Ba, Be, Bi, Ca, Cd, Ce, Co, Cr, Cs, Cu, Dy, Er, Eu, Fe, Ga, Gd, Ge, Hf, Hg, Ho, In, K, La, Li, Lu, Mg, Mn, Mo, Na, Nb, Nd, Ni, P, Pb, Pd, Pr, Pt, Rb, Re, S, Sb, Sc, Se, Sm, Sn, Sr, Ta, Tb, Te, Th, Ti, Tl, Tm, U, V, W, Y, Yb, Zn and Zr) using aqua regia digestion and Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Most analytes have all or most measured values above their lower method detection limit and analytical results have undergone comprehensive quality assurance and quality control, and are internally consistent and in line with typical worldwide concentration ranges of the analytes. The data are available in two forms; a spreadsheet of element concentrations for all depths sampled with sample locations collapsed to StatisticsNZ 2024 meshblocks to protect privacy and a zipped ArcGIS geodatabase of Inverse Distance Weighted (IDW) grids for each of the 65 elements. Morgenstern R, Martin AP, Turnbull RE, Norton K, Rattenbury MS, Rogers KM. 2024. Urban Geochemical Atlas of Wellington, New Zealand. Lower Hutt (NZ): GNS Science. 128 p. (GNS Science report; 2024/01). https://doi.org/10.21420/8adh-f354