Let me know when the data is updated again

Expediente

SEÑALAMIENTO ACRILICO CRISTAL SISMO INCENDIO CON FOTO 50 60

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-0ud2q6-504/12

Total amount

137,896.2

Number of contracts

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES belonging to INSTITUTO NACIONAL DE NEUROLOGÍA Y NEUROCIRUGÍA MANUEL VELASCO SUÁREZ

PLANNING

No data

CALL FOR TENDERS

Government agency

INSTITUTO NACIONAL DE NEUROLOGÍA Y NEUROCIRUGÍA MANUEL VELASCO SUÁREZ

Buying unit

SUBDIRECCIÓN DE RECURSOS MATERIALES

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 504/12

Title

SEÑALAMIENTO ACRILICO CRISTAL SISMO INCENDIO CON FOTO 50 60

View contract

Supplier(s)

FIRE SON EXTINTORES S.A. DE C.V.

Amount

137,896.2 pesos mexicanos

Award status

active

Signature date

4 de mayo de 2012

Execution period

4 de mayo de 2012 to 16 de mayo de 2012

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

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-0ud2q6-504%2F12")

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-0ud2q6-504%2F12')   

                        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-0ud2q6-504%2F12')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

SEÑALAMIENTO ACRILICO CRISTAL SISMO INCENDIO CON FOTO 50 60

RECORD SUMMARY ocds-0ud2q6-504/12

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences