Let me know when the data is updated again

Expediente

ESTUDIO DE PROSPECCIÓN ARQUEOLÓGICA DEL EMPLAZAMIENTO DONDE SE CONSTRUIRÁ EL NUEVO AEROPUERTO INTERNACIONAL DE LA CIUDAD DE MÉXICO

SHARE

The copied or shared URL is the exact current page, including any filters applied if you are in the search.
REPORT

What do you want to report?

RECORD SUMMARY ocds-0ud2q6-DTC-022-2012

Total amount

2.1 millones (2,064,800 )

Number of contracts

Buying unit

Aeropuertos y Servicios Auxiliares belonging to Aeropuertos y Servicios Auxiliares

PLANNING

No data

CALL FOR TENDERS

Government agency

Aeropuertos y Servicios Auxiliares

Buying unit

Aeropuertos y Servicios Auxiliares

Call type

Convenio (direct)

Purchase type

Servicios (services)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code DTC-022-2012

Title

ESTUDIO DE PROSPECCIÓN ARQUEOLÓGICA DEL EMPLAZAMIENTO DONDE SE CONSTRUIRÁ EL NUEVO AEROPUERTO INTERNACIONAL DE LA CIUDAD DE MÉXICO

View contract

Supplier(s)

UNIVERSIDAD AUTÓNOMA DE NUEVO LEÓN (: uanl)

Amount

2.1 millones pesos mexicanos (2,064,800 MXN)

Award status

active

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

7 de mayo de 2021

Source(s)

Torre de Control

Part of the project

TorreDeControl.org

Organization responsible for the import

PODER

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.

R (json)

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-DTC-022-2012")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-DTC-022-2012')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-DTC-022-2012')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

ESTUDIO DE PROSPECCIÓN ARQUEOLÓGICA DEL EMPLAZAMIENTO DONDE SE CONSTRUIRÁ EL NUEVO AEROPUERTO INTERNACIONAL DE LA CIUDAD DE MÉXICO

RECORD SUMMARY ocds-0ud2q6-DTC-022-2012

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences