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In response to the high vulnerability of Perus Andes region to climate change the Swiss Agency for Development and Cooperation (SDC) in collaboration with the Peruvian Ministry of Environment has initiated a programme on climate change adaptation (PACC - Programa de Adaptación al Cambio Climático) in the Cusco and Apurimac regions of the Peruvian Andes. The PACC is implemented by a consortium led by HELVETAS Swiss Intercooperation, supported by Universities in Peru, and a Swiss scientific consortium, that includes Meteodat, Agroscope, the Swiss Federal Institute for Forest, Snow and Landscape Research WSL-SLF, the University of Geneva, and is led by the University of Zurich. The programme focuses on three main thematic lines which are water resources, food security and natural disasters. The themes are transversal implying important cross-sector effects. The human dimension is integrated in this concept to allow for a more complete view on vulnerabilities to climate change. The interdisciplinary and multi-actor environment of the PACC represents both its strength and complexity. The PACC is a major opportunity to improve the dialogue between the scientific community, implementing agencies, and the political sphere to find more sustainable mechanisms of climate change adaptation. The Swiss scientific consortium supports the Peruvian Universities in data analysis, climate model and scenario development, climate impact and vulnerability assessments in the different thematic fields, in climate change monitoring and information systems, and in teaching courses at the academic level. The second phase of the PACC project is running from June 2013 to December 2016.
The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota” (www.earthshape.net) installed three meteorological stations at an elevational gradient in the National Park La Campana, Chile, in the sector Ocoa, within one catchment, that is one of the four EarthShape core research sites. They are located at a valley position, at the slope and the crest of the catchment. For reference, the valley station is neighbouring a weather station (Campbell Scientific) that the EarthShape project has installed earlier, in 2016 (Übernickel et al., 2020). The other two weather stations are installed on higher elevations. The weather stations are intended to provide baseline meteorological data along the elevational gradient within the La Campana catchment. Each station is configured to include sensors that record air temperature, relative humidity, barometric pressure as well as total solar radiation at 2 m height; precipitation at 1 m height. The data recording started in March 2019. This publication provides raw data as downloaded from the three stations, appended to one single *.xlsx file per station. The data is measured in 30 minutes intervals. The full description of the data and methods is provided in the data description file.
The DFG Priority Program 1803 "EarthShape - Earth Surface Shaping by Biota” (www.earthshape.net, short description of the project below) installed a meteorological station network consisting of four stations between ~26 °S to ~38 °S in the Coastal Cordillera of Chile, South America. The stations are intended to provide baseline meteorological data along the climate and ecological gradient investigated in the EarthShape program. The stations are located in the EarthShape study areas, encompassing desert, semi-desert, mediterranean, and temperate climate zones. Each station is configured to include sensors that record precipitation at ground level, radiation at 2.8 m height, wind at 3 m height, 25 cm depth soil temperature, soil water content and bulk electrical conductivity, 2 m air temperature and relative humidity, and barometric pressure at 30-minute intervals. The data recording started in March/April 2016. The EarthShape project runs until December 2021. Data collection will continue until that date, and potentially longer depending on available funds. This publication provides two sets of data: raw data and processed data. The raw data contains 2 file types per meteorological station: (1) all measured parameters of the whole dataset measured in 30 minutes intervals as downloaded from the station. Furthermore, we provide (2) one table per station of high-resolution precipitation events, measured in 5 min. intervals that were triggered during rain events at each station. The processed data consists of a continuous timeseries of observations since the activation of each station. The processing consists of the exclusion of erroneous data, caused by maintenance of the weather-stations and sporadic malfunction of sensors detected during data screening. The excluded data is communicated in a logfile (excel table), comments from data screening, solar eclipse and others are summarized in history files (ASCII ). the full description of the data and methods is provided in the data description file (Data description file). ----------------------- Version history: 16 January 2023 (Version 1.1): Alexander Beer included as additional author, addition of new data from 2020-04-14 bis 2022-10-10. All files of the first version are moved to the "previous-versions" folder. 09 October 2023 (Version 1.2): Addition of new time series data to 2023-07-31. Detailed changelog information can be found in the “History” files in the respective subfolders for each site.
This data publication is supplementary to a study reconstructing hydrological regimes along Chile since the Last Glacial Maximum to investigate the forcing mechanisms and teleconnections affecting the climate of the west coast of South America by Läuchli et al. (2025). The dataset contains (1) a compilation of previously published and newly acquired radiocarbon ages for the gravity cores GeoB7139-2 (R/V Sonne Cruise SO156, Hebbeln and Shipboard Scientists, 2001), GeoB 3304-5 (R/V Sonne Cruise SO102, Hebbeln and Shipboard Scientists, 1995) and 22SL (Sonne Cruise SO161-5, Wiedicke-Hombach and Shipboard Scientific Party, 2002), (2) age-depth models generated for the gravity cores GeoB7139-2, GeoB3304-5 and 22SL, (3) the carbon and hydrogen isotope compositions of leaf wax n-alkanes for sites GeoB3304-5 and 22SL, (4) the carbon isotope composition of fluvial and marine surface sediments along Chile previously reported by Gaviria-Lugo et al. (2023) and (5) catchment-averaged climate variables derived from global maps. The dataset is provided here as a single .xlsx file containing several data sheets. In addition, a CSV file is provided for each table. The data were acquired as part of the German Science Foundation (DFG) priority program SPP-1803 “EarthShape: Earth Surface Shaping by Biota” initiated and lead by Friedhelm von Blanckenburg and Todd Ehlers. The GeoB cores samples were provided by the MARUM Research Center (Bremen). The 22SL gravity core was stored and supplied by the Bundesanstalt für Geowissenschaften und Rohstoffe (BGR, Hannover).
We compiled available information for burrowing animals in Chile in two tables: "2020-042_Uebernickel-et-al_Vertebrates" and "2020-042_Uebernickel-et-al_Invertebrates". A discussion about burrowing vertebrates and invertebrates and the effect of the communities at selected sites in arid to humid Chile is given in Übernickel et al. (in review): Quantification of animal burrowing volumes on hillslopes along a climate gradient, Chile. The purpose of these tables is to provide an overview of burrowing vertebrates and invertebrate species in Chile. The degree of known details of their natural history varies and is often minimal. For invertebrates, the majority of the published work is taxonomic or descriptive that hardly encounter biologic or ecologic aspects of the respective species. The geographic distribution of most invertebrate species remains largely unknown, as they have been topic of single investigations at specific research sites in Chile. The tables are intended as starting point for follow up research. Quantification of distributional ranges, density, excavation rates, burrow or gallery dimensions and further parameters of these species, is important to quantify the biotic influence they have on a landscape level. From publications mostly treating single species, we have compiled this comprehensive dataset of 45 digging or soil-moving vertebrate and 345 invertebrate species. It includes a list of species names with morphological digging adaptations and species observed to dig. In vertebrates excavating behavior is documented for mammals, lizards and birds. In invertebrates, excavating behavior is mentioned for Chilean spiders, scorpions, camel spider, beetles, cicadas, wasps, bees, ants, a termite and antlions. Chile is characterized by an endemic fauna, especially true for arthropods, with limited distributional ranges. Currently, these largely still unknown species are under thread of extinction by the destruction of habitats, desertification and climate change. We encourage specialists to add information to this first compilation.
A compilation of 90,688 published radiometric dates for sedimentary rocks from the South American Andes and adjacent parts of South America have been tabulated for access by researchers via GEOROC Expert Datasets. The compilation exists as a spreadsheet for access via MS Excel, Google Sheets, and other spreadsheet applications. Initial igneous compilations were utilized in two publications by the author, Pilger (1981, 1984). The compilations have been added to in subsequent years with the metamorphic and sedimentary compilations separated in the last few years. Locations in latitude and longitude are largely taken from the original source, if provided, with UTM locations maintained and converted; in some cases, sample locations were digitized from electronic maps if coordinates were otherwise not available. Analytical results are not included to prevent the files from becoming too large. The existing compilation incorporates compilations by other workers in smaller regions of the Andes. References to original and compilation sources are included. While I am updating reconstructions of the South American and Nazca/Farallon plates, incorporating recent studies in the three oceans, for comparison with the igneous dates for the past 80 m. y., it is hoped that the spreadsheets will be of value to other workers. Reliability: In most cases the data have been copy/pasted from published or appendix tables. In a few cases, the location has been digitized from published maps; the (equatorial equidistant) maps were copied into Google Earth and positioned according to indicated coordinates, with locations digitized and copied/pasted into the spreadsheet. (It is possible that published maps are conventional Mercator-based, even if not so identified, rather than either equatorial equidistant or Universal Transverse Mercator; this can be a source of error in location. For UTMs, the errors should be minor.) Duplicates are largely recognized by equivalent IDs, dates, and uncertainties. Where primary sources have been accessed, duplicate data points in compilations are deleted. (Analytic data are NOT included.) This compilation is part of a series. Companion compilations of radiometric dates from igneous and metamorphic rocks are available at https://doi.org/10.5880/digis.e.2023.005 and https://doi.org/10.5880/digis.e.2023.007, respectively.
The South American gravimetric geoid model, named GEOID2021, was computed thanks to a collaboration of several institutions, companies and universities of South America. The model covers the area between 15°N and 60°S in latitude and 100°W and 30°W in longitude, with a grid resolution of 5' x 5'. It is based on 959,404 terrestrial gravimetric points, the XGM2019 global geopotential model up to degree and order 200 and the SRTMv3 digital terrain model. The short wavelengths of the solution were estimated via Fast Fourier Transform (FFT) with the modified Stokes kernel proposed by Vaníček and Kleusberg (1987). On the other hand, long and medium wavelengths were removed and replaced in the framework of a remove-compute-restore procedure. Regions without gravimetric observations were completed using XGM2019 to its full degree. The calculation of the geoid model was performed by the Canadian package SHGEO (Stokes-Helmert Geoid Software). The comparison between the estimated geoid heights and GPS/levelling data at 4464 points in Argentina, Chile, Colombia, Ecuador and Venezuela (2931, 176, 464, 703 and 190 points, respectively) shows differences with an RMS ranging from 34 cm for Argentina to 92 cm for Ecuador. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
The South American gravimetric quasi-geoid model, named QGEOID2021, was computed thanks to a collaboration of several institutions, companies and universities of South America. The model covers the area between 15°N and 60°S in latitude and 100°W and 30°W in longitude, with a grid resolution of 5' x 5'. It is based on 959,404 terrestrial gravimetric points, the XGM2019 global geopotential model up to degree and order 200 and the SRTMv3 digital terrain model. The short wavelengths of the solution were estimated via Fast Fourier Transform (FFT) with the modified Stokes kernel proposed by Vaníček and Kleusberg (1987). On the other hand, long and medium wavelengths were removed and replaced in the framework of a remove-compute-restore procedure. Regions without gravimetric observations were completed using XGM2019 to its full degree. The calculation of the geoid model was performed by the Canadian package SHGEO (Stokes-Helmert Geoid Software). The quasi-geoid model was obtained by the classical geoid/quasi-geoid separation term (Heiskanen and Moritz, 1967). The comparison between height anomalies and GPS/levelling data at 1108 points in Brazil shows differences with an RMS of 41 cm. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
A compilation of 29,574 published radiometric dates for metamorphic rocks from the South American Andes and adjacent parts of South America have been tabulated for access by researchers via GEOROC Expert Datasets. The compilation exists as a spreadsheet for access via MS Excel, Google Sheets, and other spreadsheet applications. Initial igneous compilations were utilized in two publications by the author, Pilger (1981, 1984). The compilations have been added to in subsequent years with the metamorphic and sedimentary compilations separated in the last few years. Locations in latitude and longitude are largely taken from the original source, if provided, with UTM locations maintained and converted; in some cases, sample locations were digitized from electronic maps if coordinates were otherwise not available. Analytical results are not included to prevent the files from becoming too large. The existing compilation incorporates compilations by other workers in smaller regions of the Andes. References to original and compilation sources are included. While I am updating reconstructions of the South American and Nazca/Farallon plates, incorporating recent studies in the three oceans, for comparison with the igneous dates for the past 80 m. y., it is hoped that the spreadsheets will be of value to other workers. Reliability: In most cases the data have been copy/pasted from published or appendix tables. In a few cases, the location has been digitized from published maps; the (equatorial equidistant) maps were copied into Google Earth and positioned according to indicated coordinates, with locations digitized and copied/pasted into the spreadsheet. (It is possible that published maps are conventional Mercator-based, even if not so identified, rather than either equatorial equidistant or Universal Transverse Mercator; this can be a source of error in location. For UTMs, the errors should be minor.) Duplicates are largely recognized by equivalent IDs, dates, and uncertainties. Where primary sources have been accessed, duplicate data points in compilations are deleted. (Analytic data are NOT included.) This compilation is part of a series. Companion compilations of radiometric dates from igneous and sedimentary rocks are available at https://doi.org/10.5880/digis.e.2023.005 and https://doi.org/10.5880/digis.e.2023.006, respectively.
A compilation of 39,070 published radiometric dates for igneous rocks from the South American Andes and adjacent parts of South America have been tabulated for access by researchers via GEOROC Expert Datasets. The compilation exists as a spreadsheet for access via MS Excel, Google Sheets, and other spreadsheet applications. Initial igneous compilations were utilized in two publications by the author, Pilger (1981, 1984). The compilations have been added to in subsequent years with the metamorphic and sedimentary compilations separated in the last few years. Locations in latitude and longitude are largely taken from the original source, if provided, with UTM locations maintained and converted; in some cases, sample locations were digitized from electronic maps if coordinates were otherwise not available. Analytical results are not included to prevent the files from becoming too large. The existing compilation incorporates compilations by other workers in smaller regions of the Andes. References to original and compilation sources are included. While I am updating reconstructions of the South American and Nazca/Farallon plates, incorporating recent studies in the three oceans, for comparison with the igneous dates for the past 80 m. y., it is hoped that the spreadsheets will be of value to other workers. Reliability: In most cases the data have been copy/pasted from published or appendix tables. In a few cases, the location has been digitized from published maps; the (equatorial equidistant) maps were copied into Google Earth and positioned according to indicated coordinates, with locations digitized and copied/pasted into the spreadsheet. (It is possible that published maps are conventional Mercator-based, even if not so identified, rather than either equatorial equidistant or Universal Transverse Mercator; this can be a source of error in location. For UTMs, the errors should be minor.) Duplicates are largely recognized by equivalent IDs, dates, and uncertainties. Where primary sources have been accessed, duplicate data points in compilations are deleted. (Analytic data are NOT included.) This compilation is part of a series. Companion compilations of radiometric dates from sedimentary and metamorphic rocks are available at https://doi.org/10.5880/digis.e.2023.006 and https://doi.org/10.5880/digis.e.2023.007, respectively.
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