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SERVICIO DE TAMIZAJE PARA DETECCION OPORTUNA DE ERRORES CONGENITOS DEL METABOLISMO Y OTROS NACIMIENTOS DE INTERES AL NACIMIENTO

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RECORD SUMMARY ocds-0ud2q6-4520000041/2015

Total amount

14.6 millones (14,616,000 )

Number of contracts

Buying unit

DIRECCION GENERAL DE ADMINISTRACION belonging to SECRETARÍA DE LA DEFENSA NACIONAL

PLANNING

No data

CALL FOR TENDERS

Government agency

SECRETARÍA DE LA DEFENSA NACIONAL

Buying unit

DIRECCION GENERAL DE ADMINISTRACION

Call type

LICITACION PUBLICA NACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 4520000041/2015

Title

SERVICIO DE TAMIZAJE PARA DETECCION OPORTUNA DE ERRORES CONGENITOS DEL METABOLISMO Y OTROS NACIMIENTOS DE INTERES AL NACIMIENTO

View contract

Supplier(s)

TAMIZAJE PLUS SA DE CV

Amount

14.6 millones pesos mexicanos (14,616,000 MXN)

Award status

active

Signature date

13 de enero de 2015

Execution period

13 de enero de 2015 to 31 de diciembre de 2016

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.

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R (json)

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                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-4520000041%2F2015")

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-0ud2q6-4520000041%2F2015')   

                        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-0ud2q6-4520000041%2F2015')

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SERVICIO DE TAMIZAJE PARA DETECCION OPORTUNA DE ERRORES CONGENITOS DEL METABOLISMO Y OTROS NACIMIENTOS DE INTERES AL NACIMIENTO

RECORD SUMMARY ocds-0ud2q6-4520000041/2015

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

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