University of Chile · Example Payload

University Of Chile Search Example

EducationHigher EducationUniversityPublic UniversityResearch DataResearch RepositoryOpen AccessOAI-PMHDataverseDSpacePersistent IdentifiersChileLatin AmericaSpanish Language

University Of Chile Search Example is an example object payload from University of Chile, with 5 top-level fields. It illustrates the shape of data this provider's APIs accept or return.

Top-level fields

generatedmethodsourcerequestresponse

Example Payload

university-of-chile-search-example.json Raw ↑
{
  "generated": "2026-09-01",
  "method": "probed",
  "source": "https://datos.uchile.cl/api/search?q=*&type=dataset&per_page=2",
  "request": {
    "method": "GET",
    "url": "https://datos.uchile.cl/api/search?q=*&type=dataset&per_page=2",
    "status": 200,
    "description": "Search the University of Chile Dataverse for datasets. Captured live 2026-09-01 from the institution's own host; unauthenticated read. The response shape is Dataverse 5.13's, the data is UChile's."
  },
  "response": {
    "status": "OK",
    "data": {
      "q": "*",
      "total_count": 156,
      "start": 0,
      "spelling_alternatives": {},
      "items": [
        {
          "name": "5",
          "type": "dataset",
          "url": "https://doi.org/10.34691/UCHILE/PIVXSO",
          "global_id": "doi:10.34691/UCHILE/PIVXSO",
          "description": "5",
          "published_at": "2025-10-20T15:52:18Z",
          "publisher": "Fondo y colección Vestimenta Héctor Morales",
          "citationHtml": "Etnografia, Laboratorio, 2025, \"5\", <a href=\"https://doi.org/10.34691/UCHILE/PIVXSO\" target=\"_blank\">https://doi.org/10.34691/UCHILE/PIVXSO</a>, Repositorio de datos de investigaci&oacute;n de la Universidad de Chile, V1",
          "identifier_of_dataverse": "VHM",
          "name_of_dataverse": "Fondo y colección Vestimenta Héctor Morales",
          "citation": "Etnografia, Laboratorio, 2025, \"5\", https://doi.org/10.34691/UCHILE/PIVXSO, Repositorio de datos de investigación de la Universidad de Chile, V1",
          "storageIdentifier": "file://10.34691/UCHILE/PIVXSO",
          "subjects": [
            "Social Sciences"
          ],
          "fileCount": 0,
          "versionId": 503,
          "versionState": "RELEASED",
          "majorVersion": 1,
          "minorVersion": 0,
          "createdAt": "2025-10-20T15:52:12Z",
          "updatedAt": "2025-10-20T15:52:18Z",
          "contacts": [
            {
              "name": "Etnografia, Laboratorio",
              "affiliation": "Antropología"
            }
          ],
          "publications": [
            {}
          ],
          "authors": [
            "Etnografia, Laboratorio"
          ]
        },
        {
          "name": "Replicar los datos para: The high cadence transient survey (Hits): Source, light-curve and classification catalogs",
          "type": "dataset",
          "url": "https://doi.org/10.34691/FK2/9SGXZG",
          "global_id": "doi:10.34691/FK2/9SGXZG",
          "description": "The High Cadence Transient Survey (HiTS) aims to discover and study transient objects with characteristic timescales between hours and days, such as pulsating, eclipsing and exploding stars. This survey represents a unique laboratory to explore large etendue observations from cadences of about 0.1 days and to test new computational tools for the analysis of large data. This work follows a fully Data Science approach: from the raw data to the analysis and classification of variable sources. We compile a catalog of ~15 million object detections and a catalog of ~2.5 million light-curves classified by variability. The typical depth of the survey is 24.2, 24.3, 24.1 and 23.8 in u, g, r, and i bands, respectively. We classified all point-like non-moving sources by first extracting features from their light--curves and then applying a Random Forest classifier. For the classification, we used a training set constructed using a combination of cross-matched catalogs, visual inspection, transfer/active learning, and data augmentation. The classification model consists of several Random Forest classifiers organized in a hierarchical scheme. The classifier accuracy estimated on a test set is approximately 97%. In the unlabeled data, 3,485 sources were classified as variables, of which 1,321 were classified as periodic. Among the periodic classes we discovered with high confidence, 1 δ scuti, 39 eclipsing binaries, 48 rotational variables, and 90 RR-Lyrae. For the non-periodic classes we discovered 1 cataclysmic variables, 630 QSO, and 1 supernova candidate.",
          "published_at": "2023-04-04T18:31:21Z",
          "publisher": "Facultad de Ciencias Físicas y Matemáticas",
          "citationHtml": "Mart&iacute;nez Palomera, Jorge; F&ouml;rster, Francisco, 2019, \"Replicar los datos para: The high cadence transient survey (Hits): Source, light-curve and classification catalogs\", <a href=\"https://doi.org/10.34691/FK2/9SGXZG\" target=\"_blank\">https://doi.org/10.34691/FK2/9SGXZG</a>, Repositorio de datos de investigaci&oacute;n de la Universidad de Chile, V1",
          "identifier_of_dataverse": "FCFM",
          "name_of_dataverse": "Facultad de Ciencias Físicas y Matemáticas",
          "citation": "Martínez Palomera, Jorge; Förster, Francisco, 2019, \"Replicar los datos para: The high cadence transient survey (Hits): Source, light-curve and classification catalogs\", https://doi.org/10.34691/FK2/9SGXZG, Repositorio de datos de investigación de la Universidad de Chile, V1",
          "storageIdentifier": "file://10.34691/FK2/9SGXZG",
          "keywords": [
            "Light-curve catalog",
            "Variable stars"
          ],
          "subjects": [
            "Astronomy and Astrophysics"
          ],
          "fileCount": 1,
          "versionId": 10,
          "versionState": "RELEASED",
          "majorVersion": 1,
          "minorVersion": 0,
          "createdAt": "2023-04-04T18:30:34Z",
          "updatedAt": "2024-01-25T14:13:26Z",
          "contacts": [
            {
              "name": "Martínez Palomera, Jorge",
              "affiliation": "Universidad de Chile"
            }
          ],
          "publications": [
            {
              "citation": "Martínez-Palomera, Jorge, &amp; Förster, Francisco. (2018). THE HIGH CADENCE TRANSIENT SURVEY (HITS): Source, light-curve and classification catalogs.",
              "url": "http://doi.org/10.5281/zenodo.1410651"
            }
          ],
          "authors": [
            "Martínez Palomera, Jorge",
            "Förster, Francisco"
          ]
        }
      ],
      "count_in_response": 2
    }
  }
}

Work with this as data

Every example here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for examples

4 MCP tools reach this
  • find_examplesBrowse and filter every example in the catalog.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This example
curl "https://apis.io/api/v1/examples/university-of-chile-search-example"
All examples
curl "https://apis.io/api/v1/examples?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.