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CEPA LIOFILIZADA DE LACTOBACILLUS RHAMNOSUS ATCC 7469 PRESENTACION PAQUETE CON 2 VIALES

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RECORD SUMMARY ocds-0ud2q6-665

Total amount

3,016

Number of contracts

1

Buying unit

DIRECCIÓN DE ADMINISTRACIÓN belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

DIRECCIÓN DE ADMINISTRACIÓN

Call type

LICITACION PUBLICA INTERNACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 665

Title

CEPA LIOFILIZADA DE LACTOBACILLUS RHAMNOSUS ATCC 7469 PRESENTACION PAQUETE CON 2 VIALES

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Supplier(s)

SOLUCIONES INDUSTRIALES MARITIMAS DE MÉXICO S.A. DE C.V. ,

VELAZQUEZ PEREZ AMANDA ,

Felipe Lopez Curiel ,

DISTRIBUIDORA COAPA S. A. DE C.V. ,

ISRAEL GUZMAN MONTIEL ,

PRAXAIR MEXICO S. DE R.L. DE C.V. ,

Reza Rojas Karina Nallely ,

INTERNACIONAL DE EQUIPOS CIENTIFICOS S.A. DE C.V. ,

Anberra Comunicación Creativa S.A. de C.V. ,

CIENTIFICA SENNA SA DE CV

Amount

3,016 pesos mexicanos

Award status

active

Signature date

12 de enero de 2015

Execution period

12 de enero de 2015 to 31 de diciembre de 2015

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.insp.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

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                        library(rjson) 

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                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-665")

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                        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-0ud2q6-665')   

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

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                        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-0ud2q6-665')