Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-dashboard

            

# Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-dashboard 
login="login" 
password="password" 
cred="$(printf ${login}:${password} | base64)" 
curl --location --request POST "https://api.dataforseo.com/v3/serp/google/dataset_search/live/advanced" 
--header "Authorization: Basic ${cred}"  
--header "Content-Type: application/json" 
--data-raw "[
    {
        "keyword": "water quality",
        "last_updated": "1m",
        "file_formats": [ "archive", "image" ],
        "usage_rights": "noncommercial",
        "is_free": true,
        "topics": [ "natural_sciences", "geo" ]
    }
]"


        

<?php
// You can download this file from here https://cdn.dataforseo.com/v3/examples/php/php_RestClient.zip
require('RestClient.php');
$api_url = 'https://api.dataforseo.com/';
try {
    // Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-dashboard
    $client = new RestClient($api_url, null, 'login', 'password');
} catch (RestClientException $e) {
    echo "n";
    print "HTTP code: {$e->getHttpCode()}n";
    print "Error code: {$e->getCode()}n";
    print "Message: {$e->getMessage()}n";
    print  $e->getTraceAsString();
    echo "n";
    exit();
}
$post_array = array();
// You can set only one task at a time
$post_array[] = array(
    "keyword" => "water quality",
    "last_updated" => "1m",
    "file_formats" => [ "archive", "image" ],
    "usage_rights" => "noncommercial",
    "is_free" => true,
    "topics" => [ "natural_sciences", "geo" ]
);
try {
    // POST /v3/serp/google/dataset_search/live/advanced
    // in addition to 'google' and 'dataset_search' you can also set other search engine and type parameters
    // the full list of possible parameters is available in documentation
    $result = $client->post('/v3/serp/google/dataset_search/live/advanced', $post_array);
    print_r($result);
    // do something with post result
} catch (RestClientException $e) {
    echo "n";
    print "HTTP code: {$e->getHttpCode()}n";
    print "Error code: {$e->getCode()}n";
    print "Message: {$e->getMessage()}n";
    print  $e->getTraceAsString();
    echo "n";
}
$client = null;
?>

            

from client import RestClient
# You can download this file from here https://cdn.dataforseo.com/v3/examples/python/python_Client.zip
client = RestClient("login", "password")
post_data = dict()
# You can set only one task at a time
post_data[len(post_data)] = dict(
keyword="water quality",
last_updated="1m",
file_formats=[ "archive", "image" ],
usage_rights="noncommercial",
is_free=true,
topics=[ "natural_sciences", "geo" ]
)
# POST /v3/serp/google/dataset_search/live/advanced
# in addition to 'google' and 'dataset_search' you can also set other search engine and type parameters
# the full list of possible parameters is available in documentation
response = client.post("/v3/serp/google/dataset_search/live/advanced", post_data)
# you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
if response["status_code"] == 20000:
print(response)
# do something with result
else:
print("error. Code: %d Message: %s" % (response["status_code"], response["status_message"]))



        

            



const axios = require('axios');

axios({
    method: 'post',
    url: 'https://api.dataforseo.com/v3/serp/google/dataset_search/live/advanced',
    auth: {
        username: 'login',
        password: 'password'
    },
    data: [{
        "keyword" => "water quality",
        "last_updated" => "1m",
        "file_formats" => [ "archive", "image" ],
        "usage_rights" => "noncommercial",
        "is_free" => true,
        "topics" => [ "natural_sciences", "geo" ]
    }],
    headers: {
        'content-type': 'application/json'
    }
}).then(function (response) {
    var result = response['data']['tasks'];
    // Result data
    console.log(result);
}).catch(function (error) {
    console.log(error);
});


        

            

using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Threading.Tasks;

namespace DataForSeoDemos
{
    public static partial class Demos
    {
        public static async Task serp_live_advanced()
        {
            var httpClient = new HttpClient
            {
                BaseAddress = new Uri("https://api.dataforseo.com/"),
                // Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-dashboard
                //DefaultRequestHeaders = { Authorization = new AuthenticationHeaderValue("Basic", Convert.ToBase64String(Encoding.ASCII.GetBytes("login:password"))) }
            };
            var postData = new List<object>();
            // You can set only one task at a time
            postData.Add(new
            {
                keyword="water quality",
                last_updated="1m",
                file_formats=[ "archive", "image" ],
                usage_rights="noncommercial",
                is_free=true,
                topics=[ "natural_sciences", "geo" ]
            });
            // POST /v3/serp/google/dataset_search/live/advanced
            // in addition to 'google' and 'dataset_search' you can also set other search engine and type parameters
            // the full list of possible parameters is available in documentation
            var taskPostResponse = await httpClient.PostAsync("/v3/serp/google/dataset_search/live/advanced", new StringContent(JsonConvert.SerializeObject(postData)));
            var result = JsonConvert.DeserializeObject<dynamic>(await taskPostResponse.Content.ReadAsStringAsync());
            // you can find the full list of the response codes here https://docs.dataforseo.com/v3/appendix/errors
            if (result.status_code == 20000)
            {
                // do something with result
                Console.WriteLine(result);
            }
            else
                Console.WriteLine($"error. Code: {result.status_code} Message: {result.status_message}");
        }
    }
}


        

The above command returns JSON structured like this:

{
  "version": "0.1.20221214",
  "status_code": 20000,
  "status_message": "Ok.",
  "time": "2.0795 sec.",
  "cost": 0.002,
  "tasks_count": 1,
  "tasks_error": 0,
  "tasks": [
    {
      "id": "01161741-1535-0139-0000-5eb67a6e8212",
      "status_code": 20000,
      "status_message": "Ok.",
      "time": "2.0246 sec.",
      "cost": 0.002,
      "result_count": 1,
      "path": [
        "v3",
        "serp",
        "google",
        "dataset_search",
        "live",
        "advanced"
      ],
      "data": {
        "api": "serp",
        "function": "live",
        "se": "google",
        "se_type": "dataset_search",
        "keyword": "water quality",
        "last_updated": "1m",
        "file_formats": [
          "archive",
          "image"
        ],
        "usage_rights": "noncommercial",
        "is_free": true,
        "topics": [
          "natural_sciences",
          "geo"
        ],
        "device": "desktop",
        "os": "windows"
      },
      "result": [
        {
          "keyword": "water quality",
          "se_domain": "datasetsearch.research.google.com",
          "language_code": "en",
          "check_url": "https://datasetsearch.research.google.com/search?query=water%20quality&hl=en&filters=WyJbXCJ1cGRhdGVkX2RhdGVcIixbXCIxbVwiXV0iLCJbXCJmaWxlX2Zvcm1hdF9jbGFzc1wiLFtcIjdcIixcIjVcIl1dIiwiW1wibGljZW5zZV9jbGFzc1wiLFtcIm5vbmNvbW1lcmNpYWxcIl1dIiwiW1wiaXNfYWNjZXNzaWJsZV9mb3JfZnJlZVwiLFtdXSIsIltcImZpZWxkX29mX3N0dWR5XCIsW1wibmF0dXJhbF9zY2llbmNlc1wiLFwiZ2VvXCJdXSJd",
          "datetime": "2023-01-16 15:41:03 +00:00",
          "spell": null,
          "item_types": [
            "dataset"
          ],
          "se_results_count": 11,
          "items_count": 11,
          "items": [
            {
              "type": "dataset",
              "rank_group": 1,
              "rank_absolute": 1,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTFwYzA4cmhqeg==",
              "title": "Logan River Observatory: South Logan Benson Canal at Benson Irrigation Company Flume, 2300 North 600 West Aquatic Site (SLB_600W_CNL) Quality Controlled Data",
              "image_url": null,
              "scholarly_citations_count": null,
              "links": [
                {
                  "type": "link_element",
                  "title": "hydroshare.org",
                  "description": null,
                  "url": "http://www.hydroshare.org/",
                  "domain": "www.hydroshare.org"
                },
                {
                  "type": "link_element",
                  "title": "dataone.org",
                  "description": null,
                  "url": "http://search.dataone.org/",
                  "domain": "search.dataone.org"
                }
              ],
              "dataset_providers": [
                {
                  "type": "dataset_providers_element",
                  "title": "HydroShare",
                  "url": null,
                  "domain": null
                }
              ],
              "formats": [
                {
                  "type": "formats_element",
                  "format": "zip",
                  "size": null
                }
              ],
              "authors": [
                {
                  "type": "authors_element",
                  "name": "Logan River Observatory",
                  "url": null,
                  "domain": null
                }
              ],
              "licenses": [
                {
                  "type": "licenses_element",
                  "title": "Attribution 4.0 (CC BY 4.0)",
                  "url": "https://creativecommons.org/licenses/by/4.0/",
                  "domain": "creativecommons.org"
                }
              ],
              "updated_date": "2022-12-27 02:00:00 +00:00",
              "area_covered": [
                "2300 North 600 West",
                "South Logan Benson Canal at Benson Irrigation Company Flume",
                "Logan",
                "North America",
                "Rocky Mountains"
              ],
              "period_covered": null,
              "dataset_description": {
                "text": "This dataset contains quality control level 1 (QC1) data for all of the variables measured for the aquatic site on the South Logan Benson Canal at Benson Irrigation Company Flume, 2300 North 600 West (SLB_600W_CNL). Each file contains all available QC1 data for a specific variable. Files will be updated as new data become available, but no more than once daily. These data have passed QA/QC procedures such as sensor calibration and visual inspection and removal of obvious errors. These data are approved by Technicians as the best available version of the data. See published script for correction steps specific to this data series. Each file header contains detailed metadata for site information, variable and method information, source information, and qualifiers referenced in the data. This site is currently operated as part of the Logan River Observatory.\n",
                "links": null
              }
            },
            {
              "type": "dataset",
              "rank_group": 2,
              "rank_absolute": 2,
              "position": "left",
              "xpath": null,
              "dataset_id": "L2cvMTFuMDQ3X3B6aA==",
              "title": "Lake Simcoe Monitoring",
              "image_url": null,
              "scholarly_citations_count": 31,
              "links": [
                {
                  "type": "link_element",
                  "title": "canada.ca",
                  "description": null,
                  "url": "http://open.canada.ca/",
                  "domain": "open.canada.ca"
                },
                {
                  "type": "link_element",
                  "title": "arctic-sdi.org",
                  "description": null,
                  "url": "http://catalogue.arctic-sdi.org/",
                  "domain": "catalogue.arctic-sdi.org"
                }
              ],
              "dataset_providers": [
                {
                  "type": "dataset_providers_element",
                  "title": "Government of Ontario",
                  "url": null,
                  "domain": null
                }
              ],
              "formats": [
                {
                  "type": "formats_element",
                  "format": "pdf",
                  "size": null
                },
                {
                  "type": "formats_element",
                  "format": "html",
                  "size": null
                },
                {
                  "type": "formats_element",
                  "format": "zip",
                  "size": null
                }
              ],
              "authors": null,
              "licenses": [
                {
                  "type": "licenses_element",
                  "title": "Open Government Licence - Canada 2.0",
                  "url": "https://open.canada.ca/en/open-government-licence-canada",
                  "domain": "open.canada.ca"
                }
              ],
              "updated_date": "2022-12-30 02:00:00 +00:00",
              "area_covered": null,
              "period_covered": {
                "start_date": "1980-01-01 03:00:00 +00:00",
                "end_date": "2021-12-31 02:00:00 +00:00",
                "displayed_date": "Jan 1, 1980 - Dec 31, 2021"
              },
              "dataset_description": {
                "text": "The Lake Simcoe lake monitoring program provides measurements of chemical and physical water quality limits such as total phosphorus, nitrogen, chlorophyll a, pH, alkalinity, conductivity, dissolved organic and inorganic carbon, silica, other ions, water transparency, temperature and dissolved oxygen. Samples are collected biweekly during the spring, summer and fall. *[pH]: potential of hydrogen\n",
                "links": null
              }
            }
          ]
        }
      ]
    }
  ]
}