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2,969 results for “Chile”
Time series of electricity output for large grid connected photovoltaic installations in Chile
<p>These data sets accompany the paper "Simulation of multi-annual time series of solar photovoltaic power: is the ERA5-land reanalysis the next big step?". They include capacity factors (values 0 to 1) in hourly temporal resolution of 103 large PV installations in Chile derived from official sources as well as simulated capacity factors using PV_LIB with ERA5-land and MERRA-2 reanalysis data. The data covers the period 2014-2018 and simulations were performed assuming either a "fixed" system with orientation towards north and inclination equal to the latitude (i.e. optimal inclination) or a horizontal single axis “tracking” system with backtracking. Furthermore, accuracy indicators (Pearson’s correlation, mean bias error and root mean square error) are provided, comparing the simulated time series with capacity factors derived from official sources. Capacity factors were calculated for the 103 installations and both alternative configurations (“fixed” and “tracking”) but only a subset of 23 installations has reference data of sufficient quality to allow for a validation (for a more detailed description, see the paper). Indicators were also calculated for all installations and configurations but should be only compared for installations inside a particular configuration: there are 14 systems classified as “tracking” and 9 as “fixed”. Further details are available in the paper and the entire Python and R code is available on github at <a href="https://github.com/inwe-boku/PV_from_era5">https://github.com/inwe-boku/PV_from_era5</a>. </p>
Intimes Sprechen im Spanischen Chiles - Korpus
<p>Der vorliegende Datensatz enthält ein Sprachdatenkorpus ‚intimen Sprechens‘ aus dem Spanischen Chiles, das im Rahmen des Dissertationsvorhabens der Autorin mit dem Titel „‚Intimes Sprechen‘ als sprachliches Register – Eine Neukonzeption des zärtlichen Sprechens, untersucht an einem Korpus aus dem chilenischen Spanisch‘ vom 14.01.2016 bis zum 24.04.2016 erhoben wurde. Das Korpus enthält insgesamt 6298 Äußerungen von 617 Personen. Die Dissertationsschrift wurde an der Christian-Albrechts-Universität zu Kiel unter der Betreuung von Prof. Dr. Elmar Eggert und Prof. Dr. Bettina Kluge erstellt, am 12.03.2020 eingereicht und am 19.06.2020 erfolgreich verteidigt. Eine Verlagspublikation erfolgte 2022 unter dem Titel "Intimität in der Sprache. Eine Neukonzeption des zärtlichen Sprechens am Beispiel des chilenischen Spanisch" bei De Gruyter.</p> <p>Für die Erstellung des Korpus wurden internetbasierte Discourse Completion Tasks (DCTs) genutzt, bei denen den TeilnehmerInnen verschiedene Fotos präsentiert wurden und sie daraufhin gebeten wurden, niederzuschreiben, was sie in der betreffenden Situation sagen würden. Die DCTs wurden um Fragen zu soziodemographischen Merkmalen der TeilnehmerInnen und offene Fragen nach typischen Merkmalen ‚intimen Sprechens‘ (einerseits nonverbaler, andererseits verbaler Art) ergänzt. Für die Online-Implementierung des Erhebungsinstruments wurde die kostenlose Software SoSci Survey (soscisurvey.de) genutzt. Da das Erhebungsinstrument urheberrechtlich geschützte Fotos enthält, ist es lediglich auf Anfrage bei der Autorin einzusehen. Ausführliche Beschreibungen zur Erhebungsmethode, zum Aufbau des Erhebungsinstruments, zur Durchführung der Erhebung sowie zu Rücklauf und Repräsentativität der Daten finden sich in der erwähnten Dissertationsschrift.</p>
A DETAILED TIME SERIES OF HOURLY CIRCUMFERENCE VARIATIONS IN PINUS PINEA L. IN CHILE
<ul> <li>The dataset provides digital dendrometer measurements on stem circumference of irrigated and non-irrigated<em> Pinus pinea</em> trees. Data were obtained in a xeric non-native habitat of central Chile. Forest mensuration were hourly collected from six adult trees during a growth year.</li> </ul>
Respuestas de encuesta virtual a docentes en Chile sobre efectos de prueba estandarizada SIMCE y empobrecimiento curricular
<p>El archivo contiene todas las respuestas a la encuesta virtual a docentes en Chile. El objetivo de la encuesta era indagar el alcance de las prácticas de empobrecimiento curricular asociado al SIMCE desde el punto de vista de los docentes. Contiene 157 casos. Contiene items de respuesta cerrada y abierta. Este conjunto de datos es un producto del proyecto de investigación libre y abierta <em>Efectos asociados al dispositivo SIMCE</em>. Más información sobre este proyecto en http://www.escuelasparalajusticiasocial.net/efectos-asociados-al-dispositivo-simce-proyecto-de-investigacion-libre-y-abierto/</p>
Dataset HC-Pairs Chile, Colombia and Spain
<p>This dataset contains data from the Health Care Providers’ Pain and Impairment Relationship Scale (HC-PAIRS) in health professionals and university students from Chile, Colombia, and Spain. Data from Colombia and Chile was collected between August, 2021, and April, 2022. Data for Spain was collected between September and November 2011.</p> <p>Demographic variables and responses to items on the Health Care Providers’ Pain and Impairment Relationship Scale (HC-PAIRS) are included. Although the language of the file is originally Spanish, the variable names and value labels have been translated into English for easier understanding.<br>Data and codebooks are provided in csv format, following the FAIR principles.<br>Three files are provided:<br>1. HC-Pairs data, with the data related to sample characteristics and the answers to the questionnaire items in the three countries.<br>2. Database codebook of variables, with information of the labels of the variables of the HC-Pairs data file.<br>3. Variables values codebook, with the labels of the values of the variables in the HC-Pairs data file.</p>
Micropollutants in the River Maipo and Aconcagua in central Chile
This repository encompasses the environmental concentrations of micropollutants, such as pesticides, pharmaceuticals, and industrial chemicals, co-occurring in the River Maipo and Aconcagua.
Glacier inventory of the upper Huasco valley, Norte Chico, Chile
<p>Shapefile of the glacier inventory of the Upper Huasco catchment, Chile, that was generated for the following research article:</p> <p>Nicholson, L. I., Marín, J., Lopez, D., Rabatel, A., Bown, F. and Rivera, A.: Glacier inventory of the upper Huasco valley, Norte Chico, Chile: glacier characteristics, glacier change and comparison with central Chile, Ann. Glaciol., 50(53), 111–118, doi:10.3189/172756410790595787, 2010.</p> <p>Glaciers were mapped on the basis of ASTER imagery from 2004, and classifed for the study as clean ice glaciers (1), debris covered glaciers (2) and rock glaciers (3). Additionally, classification following the GLIMS gudeilines (https://www.glims.org/.../GLIMS_Glacier-Classification-Manual_V1_2005-02-10.pdf ) was applied where possible to glacier features on the basis of additional ASTER imagery from 2002 and 2003, and older air photographs.</p>
National Checklists 2017: Chile Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Chile collected using effechecka and geonames polygons
National Checklists 2019: Chile Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Chile collected using effechecka and geonames polygons
InSAR Time Series Analysis (2018-2021) for Volcanic Monitoring in Northern Chile
<p>This dataset is for the paper "First onset of unrest captured at Socompa: A Recent Geodetic Survey at Central Andean volcanoes in Northern Chile" which is published in GRL: <a href="https://doi.org/10.1029/2022GL102480">https://doi.org/10.1029/2022GL102480</a>.</p> <p><strong>InSAR Data:</strong></p> <p>The folder of InSAR_149A.rar stores the InSAR time series analysis dataset on ascending track 149.</p> <ol> <li>The 'Imagedate' folder stores the empty *.rslc files to indicate the date of each SLCs.</li> <li>Data_Asc.mat stores the main InSAR time series data, which includes the UTC time of the acquisition (for accurate time calculation), the length of perpendicular baselines (unit is meter), the number of days counting from the first epoch, the unwrapped time series data (ifg), the unwrapped time series data with GACOS correction (ifg_aps), the look angles (la, unit is rad), and lat&lon.</li> <li>parms.mat stores the parameters used during the data processing by StaMPS.</li> <li>semi_fit.mat stores the results of the semi-variogram fitting of each interferogram on time series. It provides two versions for the original dataset (semi) and the GACOS-corrected dataset (semi_aps). This file is mainly used to weight the data during the time series fitting.</li> <li>runTSA.m, the main function to run the InSAR time series fitting. See more details in the Code part.</li> </ol> <p>The folder of InSAR_156D.rar stores the same content as the InSAR_149A.rar but for descending track 156.</p> <p><strong>Code:</strong></p> <p>This folder contains the codes of the InSAR time series fitting for this dataset, and the GBIS software.</p> <ol> <li>TSA_findref.m, this function is used to search the reference point of the InSAR data.</li> <li>TSA_EQ_fit.m, is the main function to perform InSAR time series fitting.</li> <li>rb_pixel_fit.m, is the robust way to fit the linear model.</li> <li>TSA_EQ_pixel.m, is the function used to plot the results.</li> </ol> <p>To perform the InSAR time series fitting, you need to put these four functions under your Matlab path, and then run the runTSA.m function in the data folder.</p> <p>The GBIS folder stores the updated version of the GBIS software, which allows you to perform the pCDM, CDM, and pECM. The core functions of these models are provided by Dr. Mehdi Nikkhoo, and you could find them here: https://www.volcanodeformation.com/software</p> <p><strong>GBIS_Modelling_Results:</strong></p> <p>This folder stores the data of InSAR and GPS joint inversion for Socompa Uplift.</p> <ol> <li>The folder Socompa stores the modelling results using the models of Okada(D), pECM(E), Mogi(M), pCDM(N), and Yang(Y), respectively. </li> <li>GPS_data.txt stores the cumulative displacements and the uncertainties of the SOCM station in three directions.</li> <li>Socompa.inp is the configuration file for GBIS running.</li> <li>Vol_asc.mat and Vol_asc_ds.mat stores the original and the downsampled ascending data, while Vol_dsc.mat and Vol_dsc_ds.mat store those of descending.</li> </ol> <p>Many thanks for using our dataset and please let me know if you have any further questions!</p>
Data Set on Local Government Indicators in Chile
<p><strong>Data Set on Local Government Indicators in Chile</strong></p> <p>This repository contains a dataset in progress (20%) on local government indicators in Chile between 2010 and 2021, featuring an e-government indicator (EGI) in 2016, 2019 and 2021 in Comma-Separated Values CSV format with Unicode encoding UTF-8.</p> <p><strong>GitHub repository:</strong> <a href="https://github.com/bgonzalezbustamante/local-gov-indicators">https://github.com/bgonzalezbustamante/local-gov-indicators</a></p>
Implementation of GR hydrological models in 95 near-natural catchments across Chile
<p>All the files included here contain the data and calibration results produced for the paper "Exploring parameter (dis)agreement due to calibration metric selection in conceptual rainfall-runoff models" accepted for publication in Hydrological Sciences Journal (HSJ). This database summarizes the calibrated parameter sets for the GR4J, GR5J and GR6J conceptual rainfall-runoff models, all coupled to the CemaNeige snow module (i.e., GRXJ + CemaNeige = GRXJCN), using 12 objective functions. The models are configured for 95 near-natural catchments located in Continental Chile. Each basin is identified by a unique code registered in the National Water Bank (BNA by its acronym in Spanish) by the Chilean Water Bureau (DGA; https://dga.mop.gob.cl/). Meteorological forcings and hypsometric curves for each basin studied are also included.</p> <p>The information is organized as follows:</p> <p>- "01 Forcings" : It includes a "Comma-separated value" file (".csv") per basin (according to the notation "BNA code.csv") which contains daily time series of precipitation (P; mm/d), temperature (°C) and potential evapotranspiration (E; mm/d) for the period 1980-01-01 to 2017-12-31. The daily runoff observations (Q; mm/d) and snow water equivalent (SWE; mm) from Cortés et al. (2017) are included. P and T are estimated from the basin-scale average of the CR2Met v2.0 gridded product, while E was calculated using Oudin's formula.<br> - "02 Hypsometry" : It includes a "Comma-separated value" file (".csv") per basin with elevation (in m a.s.l.) vs. area below elevation (in percentage) in the format required by GR models ("BNA code.csv" notation), and the full hypsometric curve ("BNA code_original.csv" notation) retrieved from the SRTM DEM clipped to the basin of interest.<br> - "03 Calibrated parameters": It includes one sub-directory per basin, containing a summary of the calibrated parameters for each combination of model structure (GR4JCN, GR5JCN and GR6JCN) and objective function.</p> <p>Additionally, we include the following "Comma-separated value" (i.e., ".csv") files:</p> <p>- "BNA_select.csv": list of case study basins (BNA code and name).<br> - "Catchment_attributes_CAMELS-CL.csv": catchments attributes directly obtained from CAMELS-CL.<br> - "Catchment_attributes.csv": catchments attributes used for this study. Note that this file contains re-calculated values for climatic attributes. </p>
FIG. 6 in The ways of fish beyond the sea: fish circulation and consumption in the Atacama desert, northern Chile, during the Formative period (500 cal B.C. - 700 cal A.D.)
FIG. 6. — Headless dried fish offered to a 4-6 years old infant in the route of Calate-Loa River mouth.
FIG. 7 in The ways of fish beyond the sea: fish circulation and consumption in the Atacama desert, northern Chile, during the Formative period (500 cal B.C. - 700 cal A.D.)
FIG. 7. — Composite food made of two kind of fishes tied together by a braided rope: a complete anchoveta and a boneless fillet of a bigger fish. Topater 01 cemetery (Gallardo 2017: fig. 2). Scale bar: 5 cm.
FIG. 9 in The ways of fish beyond the sea: fish circulation and consumption in the Atacama desert, northern Chile, during the Formative period (500 cal B.C. - 700 cal A.D.)
FIG. 9. — Graphic that indicates the relation between cranial and postcranial skeletal units in routes, Quillagua and interior oasis sites from the Atacama Desert during the Formative period. Both inferior bars show the same relation in reference skeletons from Trachurus murphyi Nichols, 1920 (60 cranial and 41 postcranial elements) and Cilus gilberti (Abbott, 1899) (60 cranial and 42 postcranial elements). Abbreviation: NISP, number of identified specimens.
FIG. 2 in The ways of fish beyond the sea: fish circulation and consumption in the Atacama desert, northern Chile, during the Formative period (500 cal B.C. - 700 cal A.D.)
FIG. 2. — Altitudinal profile of the region with the position from the different localities mentioned in the article. Sites in italics: main geographical landmarks. Ab- breviation: m a.s.l., meters above sea level.
FIG. 4 in The ways of fish beyond the sea: fish circulation and consumption in the Atacama desert, northern Chile, during the Formative period (500 cal B.C. - 700 cal A.D.)
FIG. 4. — Radiocarbon datations from the Formative sites of the Atacama Desert considered in this study. Marine and human material samples were excluded. Calibration made by SHCAL13 curve (Hogg et al. 2013) using Calib 704 (Stuiver et al. 2005).
Figures 1–5. Chileporter huemeri n. gen. and n in New genus and species of Yponomeutidae (Lepidoptera: Yponomeutoidea) associated with Maytenus boaria Molina (Celastraceae) from Chile, with descriptions of immature stages and natural history observations
Figures 1–5. Chileporter huemeri n. gen. and n. sp., adult. 1) Wings, dorsal view. 2) Head, side view. 3) Wing veins. Scale bar: 1 mm (1, 2, 3). 4). Sternum 2. Scale bar: 0.5 mm. 5). Tergum spiny setae. Scale bar: 0.25 mm.
Figures 12–20. Chileporter huemeri n. gen. and n in New genus and species of Yponomeutidae (Lepidoptera: Yponomeutoidea) associated with Maytenus boaria Molina (Celastraceae) from Chile, with descriptions of immature stages and natural history observations
Figures 12–20. Chileporter huemeri n. gen. and n. sp. 12–15. Adult female. Scale bar: 0.25 mm. 12) Female genitalia. 13) Ductus bursae. 14) Corpus bursae. 15) Signum. 16) Larva, dorsal view. Scale bar: 1.0 mm. 17–20. Larval structures. Scale bar: 0.20 mm. 17) Mandible. 18) Crochets. 19) Microprocesses on integument. 20) Antennae.
Figures 1–6. Passadena mistralae n in Contribution to the knowledge of Chilean Phycitinae (Lepidoptera: Pyralidae): new species of Passadena Hulst, 1900, and Ragonotia Grote, 1888, from northern Chile
Figures 1–6. Passadena mistralae n. sp. habitus. 1) Holotype female. 2–3) Female paratypes. 4) Male paratype. 5) Head of female. 6) Head of male. Scale: 1.0 mm.
ScienceDex guides
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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.