Ferring Pharmaceuticals | EPFL Graph Search

Ferring Pharmaceuticals is a Swiss multinational biopharmaceutical company specialising in areas such as reproductive health, maternal health, gastroenterology and urology. Ferring has been developing treatments for mothers and babies for over 50 years. Headquartered in Saint-Prex, Switzerland, Ferring has its own manufacturing facilities in several European countries, in South America, China, India, and the United States. Founded in 1950, privately-owned Ferring employs over 7,000 employees worldwide, has its own operating subsidiaries in more than 50 countries and markets its products in over 100 countries. The company was founded by Dr. Frederik Paulsen Sr and Dr Eva Paulsen in Malmö, Sweden, in 1950, initially as the Nordiska Hormon Laboratoriet, renamed Ferring in 1954. A ferring in Frisian is a person from the island Föhr off the western coast of Germany. Mr. Paulsen's family originates from that island. The first major breakthrough was the synthetic production of oxytocin and vasopressin in 1961. With further growth and expansion, the headquarters moved to Copenhagen, Denmark, and subsequently to Switzerland. In October 2011, Ferring acquired Cytokine PharmaSciences Inc. (CPSI) and its UK subsidiary Controlled Therapeutics (Scotland) Ltd., a global biopharmaceutical company with a particular focus in obstetrics. In August 2016, the company announced it would acquire the phase III sciatica candidate drug - Condoliase (SI-6603) from Seikagaku for approximately

95 million. In April 2018, Ferring announced its acquisition of Rebiotix Inc. an innovative biotechnology company and pioneer in the field of the human microbiome. In November 2019, Ferring Pharmaceuticals and Blackstone Life Sciences announced the joint investment of over

570 million USD in an investigational novel gene therapy in late stage development for patients with high-grade, Bacillus Calmette-Guérin (BCG) unresponsive, non-muscle invasive bladder cancer (NMIBC). Ferring and Blackstone spun out a new gene therapy company called Fergene to bring the therapy to patients.

Five-minute average horizontal wind velocity data combined from both sensors (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.

Julia Schmale, Jenny Thomas, Sebastian Johannes Heinz-Josef Landwehr

Dataset abstract The horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4 has been corrected for air-flow distortion. The measurements from both the port and starboad side anemometer were averaged to five-minute resolution and have been combined via vector averaging of the data. The ten meter neutral wind speed (U10N) has been estimated using ERA-5 surface heat fluxes, which were interpolated onto the ship's track, and the COARE 3.5 drag coefficient. This data set provides a continous and high-resolution record of the wind speed and direction near to the ship's location. Dataset contents wind-observations-port-stbd-corrected-combined-5min-legs0-4.csv, data file, comma-separated values data_file_header, metadata, text format README.txt, metadata, text format Dataset license This five-minute averaged wind velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/ The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. SL received funding from the Swiss Data Science Center project c17-02. {"references": ["Landwehr, S., Thurnherr, I., Cassar, N., Gysel-Beer, M., and Schmale, J.: Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-366", "Smith, Shawn R., Mark A. Bourassa, and Ryan J. Sharp. 'Establishing More Truth in True Winds'. Journal of Atmospheric and Oceanic Technology 16 (1999): 14", "Python Software Foundation. Python Language Reference, version 3.7.3. Available at https://www.python.org"]}

2020

One-minute average horizontal wind velocity data (which has been corrected for air-flow distortion) from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4.

Julia Schmale, Jenny Thomas, Sebastian Johannes Heinz-Josef Landwehr

Dataset abstract One-minute average horizontal wind velocity data from the Antarctic Circumnavigation Expedition (ACE) 2016/2017 legs 0 to 4. The data has been filtered for spurious observations and the true wind correction has been redone using the quality checked one-minute ship track velocity data. The data has been corrected for air-flow distortion, which was caused by the ship's super structure. Dataset contents wind-observations-stbd-corrected-1min-legs0-4.csv, data file, comma-separated values wind-observations-port-corrected-1min-legs0-4.csv, data file, comma-separated values data_file_header, metadata, text format README.txt, metadata, text format Dataset license This one-minute averaged wind velocity dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/ The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. SL received funding from the Swiss Data Science Center project c17-02. {"references": ["Landwehr, S., Thurnherr, I., Cassar, N., Gysel-Beer, M., and Schmale, J.: Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-366", "Smith, Shawn R., Mark A. Bourassa, and Ryan J. Sharp. 'Establishing More Truth in True Winds'. Journal of Atmospheric and Oceanic Technology 16 (1999): 14", "Python Software Foundation. Python Language Reference, version 3.7.3. Available at https://www.python.org"]}

2020

Air-flow distortion bias factors of the port and starboard anemometers of the Akademik Tryoshnikov estimated during the Antarctic Circumnavigation Expedition (ACE) legs 0-4 undertaken during the austral summer of 2016/2017.

Julia Schmale, Jenny Thomas, Sebastian Johannes Heinz-Josef Landwehr

Dataset abstract This data set contains the air-flow distortion bias factors of the port and starboard anemometers of the Akademik Tryoshnikov estimated during the Antarctic Circumnavigation Expedition (ACE) legs 0-4 undertaken during the austral summer of 2016/2017. The data are provided over overlapping wind direction secotors of 5(10) degree width stepped by 1(2) degrees relative wind direction. These bias factors can be used to correct the observed wind speeds for air-flow distortion on a sample by sample basis. For details see Landwehr et al. (2019; DOI: https://doi.org/10.5194/amt-2019-366). Dataset contents flow_distortion_bias_sensor1.csv, data file, comma-separated values flow_distortion_bias_sensor2.csv, data file, comma-separated values data_file_header, metadata, text format README.txt, metadata, text format Dataset license This dataset of air-flow distortion factors is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/ The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals. SL received funding from the Swiss Data Science Center project c17-02. {"references": ["Landwehr, S., Thurnherr, I., Cassar, N., Gysel-Beer, M., and Schmale, J.: Using global reanalysis data to quantify and correct airflow distortion bias in shipborne wind speed measurements, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-366", "Smith, Shawn R., Mark A. Bourassa, and Ryan J. Sharp. 'Establishing More Truth in True Winds'. Journal of Atmospheric and Oceanic Technology 16 (1999): 14", "Python Software Foundation. Python Language Reference, version 3.7.3. Available at https://www.python.org"]}

2020

Julia Schmale, Jenny Thomas, Sebastian Johannes Heinz-Josef Landwehr

2020

Julia Schmale, Jenny Thomas, Sebastian Johannes Heinz-Josef Landwehr

2020