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MEDIO DE CULTIVO CELULAR McCOYS 5A MODIFICADO IX LIQUIDO CONTIENE L-GLUTAMINA Y 25 mM BUFFER HEPES PRES CJA C/10 FCOS DE 500 ML

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RECORD SUMMARY ocds-0ud2q6-592

Total amount

1,162.5

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 592

Title

MEDIO DE CULTIVO CELULAR McCOYS 5A MODIFICADO IX LIQUIDO CONTIENE L-GLUTAMINA Y 25 mM BUFFER HEPES PRES CJA C/10 FCOS DE 500 ML

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Supplier(s)

TESORERIA DE LA FEDERACION ,

SANTOS CHAIRES FABIOLA ,

Grupo WL S.A. de C.V. ,

FARMACIA DE ESPECIALIDADES MEDICAS SUR S.A. DE C.V. ,

COMERCIALIZADORA E IMPORTADORA DE PRODUCTOS QUIMICOS S A DE C V ,

Productos médicos y hospitalarios S.A. De C.V. ,

JESUS CAMARILLO HUESCA ,

RADIO MOVIL DIPSA S.A. DE C.V. ,

Artículos Exclusivos y Especializados JA S.A. de C.V. ,

Sr. José Luís Pérez Apolo ,

ACCESORIOS PARA LABORATORIOS S.A. DE C.V.

Amount

1,162.5 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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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-0ud2q6-592")

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-0ud2q6-592')   

                        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-0ud2q6-592')