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anticuerpo rabbit anti-JAK2 peso molecular de 125 kilodaltons PRES VIAL DE 200 UG/ML

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RECORD SUMMARY ocds-0ud2q6-1208

Total amount

11,305.4

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 1208

Title

anticuerpo rabbit anti-JAK2 peso molecular de 125 kilodaltons PRES VIAL DE 200 UG/ML

View contract

Supplier(s)

GRUPO RADIOFUSORAS SA DE CV ,

MIRANDA REYNA RAFAEL ,

RODRIGUEZ COSTA LUIS CARLOS ,

DISTRIBUIDORA MEDICA CARBE S.A. DE C.V. ,

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

Hospi Medical S.A. de C.V. ,

COSTCO DE MÉXICO S.A. DE C.V. ,

TÉCNICA EN LABORATORIOS S.A. DE C.V. ,

C. Armando Hernández Ramos ,

INDUSTRIAS BIOSELEC S.A. DE C.V.

Amount

11,305.4 pesos mexicanos

Award status

active

Signature date

13 de enero de 2015

Execution period

13 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)
This contract is an extension, or has corrections or amendments

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-0ud2q6-1208")

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-0ud2q6-1208')   

                        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-0ud2q6-1208')