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opencc-by-4.0Nov 2021View details →

Open Science: Epistemologies, science policy implementation and digitalisation

This workshop explores Open Science and the promises and challenges for science and society.  After briefly covering the definition, history and application of Open Science policies, we discuss why they are relevant and what barriers and concerns there are for implementation.  The workshop engages with the challenges of universalising access to knowledge in a world with a plurality of epistemic communities and developmental agendas.  Lastly, we discuss the role that digitalisation plays in implementing Open Science policies and what this means for sustainable development.

Laboratory Open Channel Flow: Video, Waterlevel and Surface Velocity

Video footage of an open channel flow in a laboratory setting, associated with the surface velocity and water level. - Video footage was collected using a Raspberry Pi Camera Module v2 attached to a Raspberry Pi 4 at 25fps from three positions and split into roughly 15s chunks. - A "mic+35/IU/TC" ultrasonic sensor (accuracy: ±1%) measured the water level - A "Nortek Vectrino" (accuracy: ±1% ±1mm/s) velocimeter measured the velocity at the surface   - The video files can be found in the folders position1, position2 and position3, each file name contains the initial timestamp to match frames to the measurements - The file "waterlevel.csv" contains the timestamps, Waterlevel [mm] and Percentage Full [%]. The waterlevel column is reversed, as the distance between the sensor and the surface was measured. This means, that lower values correspond to higher water levels. - The file "velocity.csv" contains the timestamps and surface velocity measurements [m/s]

Sodium binding stabilizes the outward-open state of SERT by limiting bundle domain motions

Measured distances, angles, RMSD, RMSF, vestibule diameters and principal components along with the structural representations in pymol pse files and the manuscript images. The measurements have a 1ns time resolution.   DATA_sodium_stabilize_SERT.zip ├── fig1 │   ├── fig1_v3.png │   ├── occ_3ions_rmsf_TMH_fitted_250_500.xvg │   ├── occ_Cl_rmsf_TMH_fitted_250_500.xvg │   ├── occ_ionless_rmsf_TMH_fitted_250_500.xvg │   ├── out_3ions_rmsf_TMH_fitted_250_500.xvg │   ├── out_Cl_rmsf_TMH_fitted_250_500.xvg │   └── out_ionles_rmsf_TMH_fitted_250_500.xvg ├── fig2 │   ├── distances_n_angles_fig2.pse │   ├── fig2_v2.png │   ├── occ_apo_nosalt_3ions.rep1.TM1b-TM8down.dat │   ├── occ_apo_nosalt_3ions.rep1.TM1b-TM9up.dat │   ├── occ_apo_nosalt_3ions.rep2.TM1b-TM8down.dat │   ├── occ_apo_nosalt_3ions.rep2.TM1b-TM9up.dat │   ├── occ_apo_nosalt_3ions.rep3.TM1b-TM8down.dat │   ├── occ_apo_nosalt_3ions.rep3.TM1b-TM9up.dat │   ├── occ_apo_nosalt_3ions.rep4.TM1b-TM8down.dat │   ├── occ_apo_nosalt_3ions.rep4.TM1b-TM9up.dat │   ├── occ_apo_nosalt_3ions.rep5.TM1b-TM8down.dat │   ├── occ_apo_nosalt_3ions.rep5.TM1b-TM9up.dat │   ├── occ_apo_nosalt_Cl.rep1.TM1b-TM8down.dat │   ├── occ_apo_nosalt_Cl.rep1.TM1b-TM9up.dat │   ├── occ_apo_nosalt_Cl.rep2.TM1b-TM8down.dat │   ├── occ_apo_nosalt_Cl.rep2.TM1b-TM9up.dat │   ├── occ_apo_nosalt_Cl.rep3.TM1b-TM8down.dat │   ├── occ_apo_nosalt_Cl.rep3.TM1b-TM9up.dat │   ├── occ_apo_nosalt_Cl.rep4.TM1b-TM8down.dat │   ├── occ_apo_nosalt_Cl.rep4.TM1b-TM9up.dat │   ├── occ_apo_nosalt_Cl.rep5.TM1b-TM8down.dat │   ├── occ_apo_nosalt_Cl.rep5.TM1b-TM9up.dat │   ├── occ_apo_nosalt_ionless.rep1.TM1b-TM8down.dat │   ├── occ_apo_nosalt_ionless.rep1.TM1b-TM9up.dat │   ├── occ_apo_nosalt_ionless.rep2.TM1b-TM8down.dat │   ├── occ_apo_nosalt_ionless.rep2.TM1b-TM9up.dat │   ├── occ_apo_nosalt_ionless.rep3.TM1b-TM8down.dat │   ├── occ_apo_nosalt_ionless.rep3.TM1b-TM9up.dat │   ├── occ_apo_nosalt_ionless.rep4.TM1b-TM8down.dat │   ├── occ_apo_nosalt_ionless.rep4.TM1b-TM9up.dat │   ├── occ_apo_nosalt_ionless.rep5.TM1b-TM8down.dat │   ├── occ_apo_nosalt_ionless.rep5.TM1b-TM9up.dat │   ├── out_apo_nosalt_3ions.rep1.TM1b-TM8down.dat │   ├── out_apo_nosalt_3ions.rep1.TM1b-TM9up.dat │   ├── out_apo_nosalt_3ions.rep2.TM1b-TM8down.dat │   ├── out_apo_nosalt_3ions.rep2.TM1b-TM9up.dat │   ├── out_apo_nosalt_3ions.rep3.TM1b-TM8down.dat │   ├── out_apo_nosalt_3ions.rep3.TM1b-TM9up.dat │   ├── out_apo_nosalt_3ions.rep4.TM1b-TM8down.dat │   ├── out_apo_nosalt_3ions.rep4.TM1b-TM9up.dat │   ├── out_apo_nosalt_3ions.rep5.TM1b-TM8down.dat │   ├── out_apo_nosalt_3ions.rep5.TM1b-TM9up.dat │   ├── out_apo_nosalt_Cl.rep1.TM1b-TM8down.dat │   ├── out_apo_nosalt_Cl.rep1.TM1b-TM9up.dat │   ├── out_apo_nosalt_Cl.rep2.TM1b-TM8down.dat │   ├── out_apo_nosalt_Cl.rep2.TM1b-TM9up.dat │   ├── out_apo_nosalt_Cl.rep3.TM1b-TM8down.dat │   ├── out_apo_nosalt_Cl.rep3.TM1b-TM9up.dat │   ├── out_apo_nosalt_Cl.rep4.TM1b-TM8down.dat │   ├── out_apo_nosalt_Cl.rep4.TM1b-TM9up.dat │   ├── out_apo_nosalt_Cl.rep5.TM1b-TM8down.dat │   ├── out_apo_nosalt_Cl.rep5.TM1b-TM9up.dat │   ├── out_apo_nosalt_ionless.rep1.TM1b-TM8down.dat │   ├── out_apo_nosalt_ionless.rep1.TM1b-TM9up.dat │   ├── out_apo_nosalt_ionless.rep2.TM1b-TM8down.dat │   ├── out_apo_nosalt_ionless.rep2.TM1b-TM9up.dat │   ├── out_apo_nosalt_ionless.rep3.TM1b-TM8down.dat │   ├── out_apo_nosalt_ionless.rep3.TM1b-TM9up.dat │   ├── out_apo_nosalt_ionless.rep4.TM1b-TM8down.dat │   ├── out_apo_nosalt_ionless.rep4.TM1b-TM9up.dat │   ├── out_apo_nosalt_ionless.rep5.TM1b-TM8down.dat │   └── out_apo_nosalt_ionless.rep5.TM1b-TM9up.dat ├── fig3 │   ├── fig3_v2.png │   ├── occ_apo_nosalt_3ions.rep1.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep1.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_3ions.rep1.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep1.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_3ions.rep2.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep2.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_3ions.rep2.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep2.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_3ions.rep3.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep3.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_3ions.rep3.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep3.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_3ions.rep4.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep4.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_3ions.rep5.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep5.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_Cl.rep1.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep1.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_Cl.rep1.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep1.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_Cl.rep2.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep2.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_Cl.rep2.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep2.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_Cl.rep3.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep3.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_Cl.rep3.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep3.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_Cl.rep4.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep4.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_Cl.rep5.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep5.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_ionless.rep1.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep1.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_ionless.rep1.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep1.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_ionless.rep2.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep2.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_ionless.rep2.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep2.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_ionless.rep3.TM9-TM3-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep3.TM9-TM3-TM6a.dat │   ├── occ_apo_nosalt_ionless.rep3.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep3.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_ionless.rep4.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep4.TM9-TM8-TM6a.dat │   ├── occ_apo_nosalt_ionless.rep5.TM9-TM8-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep5.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_3ions.rep1.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_3ions.rep1.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_3ions.rep1.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_3ions.rep1.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_3ions.rep2.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_3ions.rep2.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_3ions.rep2.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_3ions.rep2.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_3ions.rep3.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_3ions.rep3.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_3ions.rep3.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_3ions.rep3.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_3ions.rep4.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_3ions.rep4.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_3ions.rep5.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_3ions.rep5.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_Cl.rep1.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_Cl.rep1.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_Cl.rep1.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_Cl.rep1.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_Cl.rep2.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_Cl.rep2.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_Cl.rep2.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_Cl.rep2.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_Cl.rep3.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_Cl.rep3.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_Cl.rep3.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_Cl.rep3.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_Cl.rep4.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_Cl.rep4.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_Cl.rep5.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_Cl.rep5.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_ionless.rep1.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_ionless.rep1.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_ionless.rep1.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_ionless.rep1.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_ionless.rep2.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_ionless.rep2.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_ionless.rep2.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_ionless.rep2.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_ionless.rep3.TM9-TM3-TM1b.dat │   ├── out_apo_nosalt_ionless.rep3.TM9-TM3-TM6a.dat │   ├── out_apo_nosalt_ionless.rep3.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_ionless.rep3.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_ionless.rep4.TM9-TM8-TM1b.dat │   ├── out_apo_nosalt_ionless.rep4.TM9-TM8-TM6a.dat │   ├── out_apo_nosalt_ionless.rep5.TM9-TM8-TM1b.dat │   └── out_apo_nosalt_ionless.rep5.TM9-TM8-TM6a.dat ├── fig4 │   ├── cluster_centr_250_500_concat_bundle-fit_bundle-measure_in_fig4.pse │   ├── fig4_v2.png │   ├── occ_apo_nosalt_3ions.rep1.TM1a-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep1.TM6a-TM6b.dat │   ├── occ_apo_nosalt_3ions.rep2.TM1a-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep2.TM6a-TM6b.dat │   ├── occ_apo_nosalt_3ions.rep3.TM1a-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep3.TM6a-TM6b.dat │   ├── occ_apo_nosalt_3ions.rep4.TM1a-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep4.TM6a-TM6b.dat │   ├── occ_apo_nosalt_3ions.rep5.TM1a-TM1b.dat │   ├── occ_apo_nosalt_3ions.rep5.TM6a-TM6b.dat │   ├── occ_apo_nosalt_Cl.rep1.TM1a-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep1.TM6a-TM6b.dat │   ├── occ_apo_nosalt_Cl.rep2.TM1a-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep2.TM6a-TM6b.dat │   ├── occ_apo_nosalt_Cl.rep3.TM1a-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep3.TM6a-TM6b.dat │   ├── occ_apo_nosalt_Cl.rep4.TM1a-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep4.TM6a-TM6b.dat │   ├── occ_apo_nosalt_Cl.rep5.TM1a-TM1b.dat │   ├── occ_apo_nosalt_Cl.rep5.TM6a-TM6b.dat │   ├── occ_apo_nosalt_ionless.rep1.TM1a-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep1.TM6a-TM6b.dat │   ├── occ_apo_nosalt_ionless.rep2.TM1a-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep2.TM6a-TM6b.dat │   ├── occ_apo_nosalt_ionless.rep3.TM1a-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep3.TM6a-TM6b.dat │   ├── occ_apo_nosalt_ionless.rep4.TM1a-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep4.TM6a-TM6b.dat │   ├── occ_apo_nosalt_ionless.rep5.TM1a-TM1b.dat │   ├── occ_apo_nosalt_ionless.rep5.TM6a-TM6b.dat │   ├── out_apo_nosalt_3ions.rep1.TM1a-TM1b.dat │   ├── out_apo_nosalt_3ions.rep1.TM6a-TM6b.dat │   ├── out_apo_nosalt_3ions.rep2.TM1a-TM1b.dat │   ├── out_apo_nosalt_3ions.rep2.TM6a-TM6b.dat │   ├── out_apo_nosalt_3ions.rep3.TM1a-TM1b.dat │   ├── out_apo_nosalt_3ions.rep3.TM6a-TM6b.dat │   ├── out_apo_nosalt_3ions.rep4.TM1a-TM1b.dat │   ├── out_apo_nosalt_3ions.rep4.TM6a-TM6b.dat │   ├── out_apo_nosalt_3ions.rep5.TM1a-TM1b.dat │   ├── out_apo_nosalt_3ions.rep5.TM6a-TM6b.dat │   ├── out_apo_nosalt_Cl.rep1.TM1a-TM1b.dat │   ├── out_apo_nosalt_Cl.rep1.TM6a-TM6b.dat │   ├── out_apo_nosalt_Cl.rep2.TM1a-TM1b.dat │   ├── out_apo_nosalt_Cl.rep2.TM6a-TM6b.dat │   ├── out_apo_nosalt_Cl.rep3.TM1a-TM1b.dat │   ├── out_apo_nosalt_Cl.rep3.TM6a-TM6b.dat │   ├── out_apo_nosalt_Cl.rep4.TM1a-TM1b.dat │   ├── out_apo_nosalt_Cl.rep4.TM6a-TM6b.dat │   ├── out_apo_nosalt_Cl.rep5.TM1a-TM1b.dat │   ├── out_apo_nosalt_Cl.rep5.TM6a-TM6b.dat │   ├── out_apo_nosalt_ionless.rep1.TM1a-TM1b.dat │   ├── out_apo_nosalt_ionless.rep1.TM6a-TM6b.dat │   ├── out_apo_nosalt_ionless.rep2.TM1a-TM1b.dat │   ├── out_apo_nosalt_ionless.rep2.TM6a-TM6b.dat │   ├── out_apo_nosalt_ionless.rep3.TM1a-TM1b.dat │   ├── out_apo_nosalt_ionless.rep3.TM6a-TM6b.dat │   ├── out_apo_nosalt_ionless.rep4.TM1a-TM1b.dat │   ├── out_apo_nosalt_ionless.rep4.TM6a-TM6b.dat │   ├── out_apo_nosalt_ionless.rep5.TM1a-TM1b.dat │   └── out_apo_nosalt_ionless.rep5.TM6a-TM6b.dat ├── fig5 │   ├── concat_0_500_dt_RMSF_bundle_fit_bundle_measure_colored.pse │   ├── fig5_v3.png │   ├── occ_apo_nosalt_3ions.concatenated_trajectories.rmsf_bundle_fitted_0_500_concat_protein.xvg │   ├── occ_apo_nosalt_3ions.rep1.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_3ions.rep2.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_3ions.rep3.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_3ions.rep4.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_3ions.rep5.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_Cl.concatenated_trajectories.rmsf_bundle_fitted_0_500_concat_protein.xvg │   ├── occ_apo_nosalt_Cl.rep1.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_Cl.rep2.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_Cl.rep3.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_Cl.rep4.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_Cl.rep5.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_ionless.concatenated_trajectories.rmsf_bundle_fitted_0_500_concat_protein.xvg │   ├── occ_apo_nosalt_ionless.rep1.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_ionless.rep2.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_ionless.rep3.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_ionless.rep4.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── occ_apo_nosalt_ionless.rep5.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_3ions.concatenated_trajectories.rmsf_bundle_fitted_0_500_concat_protein.xvg │   ├── out_apo_nosalt_3ions.rep1.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_3ions.rep2.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_3ions.rep3.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_3ions.rep4.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_3ions.rep5.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_Cl.concatenated_trajectories.rmsf_bundle_fitted_0_500_concat_protein.xvg │   ├── out_apo_nosalt_Cl.rep1.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_Cl.rep2.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_Cl.rep3.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_Cl.rep4.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_Cl.rep5.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_ionless.concatenated_trajectories.rmsf_bundle_fitted_0_500_concat_protein.xvg │   ├── out_apo_nosalt_ionless.rep1.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_ionless.rep2.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_ionless.rep3.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   ├── out_apo_nosalt_ionless.rep4.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg │   └── out_apo_nosalt_ionless.rep5.RMSD_fit-boundle_CA_measure-boundle_CA_preEQreference.xvg ├── fig6 │   ├── fig6_v5.png │   ├── occ_3ions_projected_scaffoldFIT_bundleMEASURE.xvg │   ├── occ_Cl_projected_scaffoldFIT_bundleMEASURE.xvg │   ├── occ_ionless_projected_scaffoldFIT_bundleMEASURE.xvg │   ├── out_3ions_projected_scaffoldFIT_bundleMEASURE.xvg │   ├── out_Cl_extreme_scaffoldFIT_bundleMEASURE1.pdb │   ├── out_Cl_extreme_scaffoldFIT_bundleMEASURE2.pdb │   ├── out_Cl_projected_scaffoldFIT_bundleMEASURE.xvg │   ├── out_ionless_projected_scaffoldFIT_bundleMEASURE.xvg │   └── scaffoldFIT_bundleMEASURE_global_covar_extrame1.pse ├── fig7 │   ├── fig7_v2.png │   ├── occ_apo_nosalt_3ions.rep1.radii_refitted.dat │   ├── occ_apo_nosalt_3ions.rep2.radii_refitted.dat │   ├── occ_apo_nosalt_3ions.rep3.radii_refitted.dat │   ├── occ_apo_nosalt_3ions.rep4.radii_refitted.dat │   ├── occ_apo_nosalt_3ions.rep5.radii_refitted.dat │   ├── occ_apo_nosalt_Cl.rep1.radii_refitted.dat │   ├── occ_apo_nosalt_Cl.rep2.radii_refitted.dat │   ├── occ_apo_nosalt_Cl.rep3.radii_refitted.dat │   ├── occ_apo_nosalt_Cl.rep4.radii_refitted.dat │   ├── occ_apo_nosalt_Cl.rep5.radii_refitted.dat │   ├── occ_apo_nosalt_ionless.rep1.radii_refitted.dat │   ├── occ_apo_nosalt_ionless.rep2.radii_refitted.dat │   ├── occ_apo_nosalt_ionless.rep3.radii_refitted.dat │   ├── occ_apo_nosalt_ionless.rep4.radii_refitted.dat │   ├── occ_apo_nosalt_ionless.rep5.radii_refitted.dat │   ├── out_apo_nosalt_3ions.rep1.radii_refitted.dat │   ├── out_apo_nosalt_3ions.rep2.radii_refitted.dat │   ├── out_apo_nosalt_3ions.rep3.radii_refitted.dat │   ├── out_apo_nosalt_3ions.rep4.radii_refitted.dat │   ├── out_apo_nosalt_3ions.rep5.radii_refitted.dat │   ├── out_apo_nosalt_Cl.rep1.radii_refitted.dat │   ├── out_apo_nosalt_Cl.rep2.radii_refitted.dat │   ├── out_apo_nosalt_Cl.rep3.radii_refitted.dat │   ├── out_apo_nosalt_Cl.rep4.radii_refitted.dat │   ├── out_apo_nosalt_Cl.rep5.radii_refitted.dat │   ├── out_apo_nosalt_ionless.rep1.radii_refitted.dat │   ├── out_apo_nosalt_ionless.rep2.radii_refitted.dat │   ├── out_apo_nosalt_ionless.rep3.radii_refitted.dat │   ├── out_apo_nosalt_ionless.rep4.radii_refitted.dat │   └── out_apo_nosalt_ionless.rep5.radii_refitted.dat └── Sfig1     ├── distances_n_angles_fig2.pse     ├── occ_apo_nosalt_3ions.rep1.TM6a-TM8down.dat     ├── occ_apo_nosalt_3ions.rep1.TM6a-TM9up.dat     ├── occ_apo_nosalt_3ions.rep2.TM6a-TM8down.dat     ├── occ_apo_nosalt_3ions.rep2.TM6a-TM9up.dat     ├── occ_apo_nosalt_3ions.rep3.TM6a-TM8down.dat     ├── occ_apo_nosalt_3ions.rep3.TM6a-TM9up.dat     ├── occ_apo_nosalt_3ions.rep4.TM6a-TM8down.dat     ├── occ_apo_nosalt_3ions.rep4.TM6a-TM9up.dat     ├── occ_apo_nosalt_3ions.rep5.TM6a-TM8down.dat     ├── occ_apo_nosalt_3ions.rep5.TM6a-TM9up.dat     ├── occ_apo_nosalt_Cl.rep1.TM6a-TM8down.dat     ├── occ_apo_nosalt_Cl.rep1.TM6a-TM9up.dat     ├── occ_apo_nosalt_Cl.rep2.TM6a-TM8down.dat     ├── occ_apo_nosalt_Cl.rep2.TM6a-TM9up.dat     ├── occ_apo_nosalt_Cl.rep3.TM6a-TM8down.dat     ├── occ_apo_nosalt_Cl.rep3.TM6a-TM9up.dat     ├── occ_apo_nosalt_Cl.rep4.TM6a-TM8down.dat     ├── occ_apo_nosalt_Cl.rep4.TM6a-TM9up.dat     ├── occ_apo_nosalt_Cl.rep5.TM6a-TM8down.dat     ├── occ_apo_nosalt_Cl.rep5.TM6a-TM9up.dat     ├── occ_apo_nosalt_ionless.rep1.TM6a-TM8down.dat     ├── occ_apo_nosalt_ionless.rep1.TM6a-TM9up.dat     ├── occ_apo_nosalt_ionless.rep2.TM6a-TM8down.dat     ├── occ_apo_nosalt_ionless.rep2.TM6a-TM9up.dat     ├── occ_apo_nosalt_ionless.rep3.TM6a-TM8down.dat     ├── occ_apo_nosalt_ionless.rep3.TM6a-TM9up.dat     ├── occ_apo_nosalt_ionless.rep4.TM6a-TM8down.dat     ├── occ_apo_nosalt_ionless.rep4.TM6a-TM9up.dat     ├── occ_apo_nosalt_ionless.rep5.TM6a-TM8down.dat     ├── occ_apo_nosalt_ionless.rep5.TM6a-TM9up.dat     ├── out_apo_nosalt_3ions.rep1.TM6a-TM8down.dat     ├── out_apo_nosalt_3ions.rep1.TM6a-TM9up.dat     ├── out_apo_nosalt_3ions.rep2.TM6a-TM8down.dat     ├── out_apo_nosalt_3ions.rep2.TM6a-TM9up.dat     ├── out_apo_nosalt_3ions.rep3.TM6a-TM8down.dat     ├── out_apo_nosalt_3ions.rep3.TM6a-TM9up.dat     ├── out_apo_nosalt_3ions.rep4.TM6a-TM8down.dat     ├── out_apo_nosalt_3ions.rep4.TM6a-TM9up.dat     ├── out_apo_nosalt_3ions.rep5.TM6a-TM8down.dat     ├── out_apo_nosalt_3ions.rep5.TM6a-TM9up.dat     ├── out_apo_nosalt_Cl.rep1.TM6a-TM8down.dat     ├── out_apo_nosalt_Cl.rep1.TM6a-TM9up.dat     ├── out_apo_nosalt_Cl.rep2.TM6a-TM8down.dat     ├── out_apo_nosalt_Cl.rep2.TM6a-TM9up.dat     ├── out_apo_nosalt_Cl.rep3.TM6a-TM8down.dat     ├── out_apo_nosalt_Cl.rep3.TM6a-TM9up.dat     ├── out_apo_nosalt_Cl.rep4.TM6a-TM8down.dat     ├── out_apo_nosalt_Cl.rep4.TM6a-TM9up.dat     ├── out_apo_nosalt_Cl.rep5.TM6a-TM8down.dat     ├── out_apo_nosalt_Cl.rep5.TM6a-TM9up.dat     ├── out_apo_nosalt_ionless.rep1.TM6a-TM8down.dat     ├── out_apo_nosalt_ionless.rep1.TM6a-TM9up.dat     ├── out_apo_nosalt_ionless.rep2.TM6a-TM8down.dat     ├── out_apo_nosalt_ionless.rep2.TM6a-TM9up.dat     ├── out_apo_nosalt_ionless.rep3.TM6a-TM8down.dat     ├── out_apo_nosalt_ionless.rep3.TM6a-TM9up.dat     ├── out_apo_nosalt_ionless.rep4.TM6a-TM8down.dat     ├── out_apo_nosalt_ionless.rep4.TM6a-TM9up.dat     ├── out_apo_nosalt_ionless.rep5.TM6a-TM8down.dat     ├── out_apo_nosalt_ionless.rep5.TM6a-TM9up.dat     └── Sfig1_v2.png

opencc-by-4.0Sep 2021View details →

Dvoice : An open source dataset for Automatic Speech Recognition on Moroccan dialectal Arabic

Dialectal Voice is a community project initiated by AIOX Labs to facilitate voice recognition by Intelligent Systems. Today, the need for AI systems capable of recognizing the human voice is increasingly expressed within communities. However, we note that for some languages such as Darija, there are not enough voice technology solutions. To meet this need, we then proposed to establish this program of iterative and interactive construction of a dialectal database open to all in order to help improve models of voice recognition and generation.

Question Bank for Open Syllabus UNESCO Recommendation on Open Science

Question bank of multiple choice, multiple response, and essay format questions to accompany the Open Syllabus: UNESCO Recommendation on Open Science. These questions are intended to be used for low-stakes comprehension checks and discussion. The file format is compatible with the Respondus tool for importing questions into learning management systems.

opencc-by-4.0Dec 2020View details →

Quantum stochastic resonance of individual Fe atoms. Open data sets.

Data sets for publication: Quantum Stochastic Resonance of individual Fe atoms Max Hänze, Gregory McMurtrie, Susanne Baumann, Luigi Malavolti, Susan N. Coppersmith, Sebastian Loth

The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long-term Streamflow Components

The excel file Attributes_manuscript.csv contains the mean annual variables and the catchments' attributes used in the manuscript: "The Impact of an Open Water Balance Assumption on Understanding the Factors Controlling the Long-term Streamflow Components". Details of each attributes are indicated in the .txt file Attributes_description.txt.

opencc-zeroJan 2022View details →

dryad40/100

Supporting data and software for: Low-temperature open-air synthesis of PVP-coated NaYF4:Yb,Er,Mn upconversion nanoparticles with strong red emission

Upconversion nanoparticles (UCNPs) have unique photonic properties that make them ideally suited for many applications. They are excited by low-energy near-infrared photons and emit at higher energy (typically visible) wavebands. However, synthesis of UCNPs requires either high pressure reaction chambers or inert atmospheres. Combined with the requirements for high-temperatures (200 to 400 °C) and long reaction times (e.g. up to 24 hours), these place barriers to entry for UCNP research, in terms of both financial barriers and knowledge/"know how". These constraints may also limit the scale of UCNP production for end-user applications. We adapted and further developed a method for producing UCNPs with simple laboratory equipment, i.e. a hot-plate and beakers. No pressure vessel or inert atmosphere is required. The UCNPs produced have a polyvinylpyrrolidone (PVP) polymer coating, with strong red emission due to Mn2+ co-doping within the UCNP crystal lattice. It was found that UCNPs of composition NaYF4:Yb,Er,Mn (Yb = 20 mol %, Er = 2 mol%, Mn = 35 mol%) maximised the red emission whilst also minimising the diameter of the UCNPs to 36 ± 15 nm. These combination of optical and physical properties should make these UCNPs ideal for further development and exploitation, particularly for biological applications where red emission can penetrate over a centimetre of tissue. This dataset and software accompanies the manuscript 'Low-temperature open-air synthesis of PVP-coated NaYF4:Yb,Er,Mn upconversion nanoparticles with strong red emission', which was published in Royal Society Open Science on 19th January 2022. https://doi.org/10.1098/rsos.211508

opencc-by-4.0Jan 2021View details →

Datasets for Linked Open Data Instance Level Analysis for Cultural Heritage

This is the datasets used for Linked Open Data instant level quality analysis for cultural heritage (2020). 7Z and ZIP versions are available for both Excel 2006 and R 4.0.3. The compressed files include, Excel spreadsheets (.xlsx, .csv), VBA scripts (.bas), and R scripts (.r). Please read the full documentation in Linked_Open_Data_Instance_Level_Analysis_Procedure.pdf.

openother-openFeb 2022View details →

An open, collaborative, and scholarly digital edition of Anastās Mārī al-Karmalī's monthly journal "Lughat al-ʿArab" (Baghdad, 1911--14)

This repository has seen a lot of edits since the last release: changes <ul> <li>moved to central TEI boilerplate</li> <li>switched interface to Arabic</li> </ul> edits <ul> <li>added mastheads to vol.s 1 and 2</li> <li>some validation of automated structural mark-up</li> <li>manual validation of mark-up against the facsimile: vol. 1</li> <li>removed faulty automated mark-up of dates and periodical titles and re-added them through much improved process</li> <li>mark-up of named entities</li> <li>linked entity names to authority files</li> </ul>

openother-openFeb 2022View details →

An open, collaborative, and scholarly digital edition of ʿAbd al-Qādir al-Iskandarānī's monthly journal "al-Ḥaqāʾiq" (Damascus, 1910--12)

The last release, v0.9, wasn't caught by Zenodo for some unknown reason. Nothing has been changed since. The following release message has been copied from v0.9: As the mark-up of al-Ḥaqāʾiq has been complete for some time now and we are waiting for our scans to be processed at Halle for some three years now, we have decided to release a practically complete version. There have been a couple of maintenance edits over the last years to unify the set-up of editions across the entire project. Thus, the folder with TEI files was renamed tei/. Entity linked as also considerably improved, particularly for periodical titles.

opencc-by-4.0Oct 2019View details →

Animated GIF - Utrecht MIDA Opening Conference - Badges

Animated GIF <ul> <li>Created with the badges of the participants. </li> <li>This animated GIF was used to promote the MIDA Opening Conference in Utrecht. </li> </ul>

Dataset created in the context of the project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field"

The project "Stable methodologies to evaluate and measure quality, interoperability, blockchain and reuse of open data in the agricultural field", whose website is https://datause.es/, is a project funded by the Ministry of Science and Innovation - State Research Agency, with reference PID2019-105708RB-C22. Within the framework of the project, a bibliographic search is carried out in all thematic categories of the Web of Science (WoS) related to agriculture and related areas. The search equation included the following categories: WC = (FOOD SCIENCE TECHNOLOGY OR PLANT SCIENCES OR FORESTRY OR AGRICULTURAL ENGINEERING OR AGRONOMY OR HORTICULTURE OR AGRICULTURE DAIRY ANIMAL SCIENCE OR AGRICULTURE MULTIDISCIPLINARY OR AGRICULTURAL ECONOMICS POLICY)  This data set shows the distribution of journals and the quartile they occupy in each of the thematic categories in 2019, with the aim of serving researchers in this area and for future data mining.

Evaluating the Usability of Open Source Frameworks in Energy System Modelling (Supplementary Material)

Dataset and source code for analysis of the Energy System Modelling Usability Testing (ESMUT) procedure applied in the open_MODEX project. This is supplementary material for  the publication: <pre>Berendes et al. (2022). Evaluating the Usability of Open Source Frameworks in Energy System Modelling. Renewable and Sustainable Energy Reviews. DOI: <a href="https://doi.org/10.1016/j.rser.2022.112174">https://doi.org/10.1016/j.rser.2022.112174</a></pre>

opencc-by-4.0Apr 2015View details →

Landfill: An open dataset of code smells with public evaluation

Code smells are symptoms of poor design and implementation choices that may hinder code comprehension and possibly increase the change- and fault-proneness of source code. Several techniques have been proposed in the literature for detecting code smells. These techniques are generally evaluated by comparing their accuracy on a set of detected candidate code smells against a manually-produced oracle. Unfortunately, such comprehensive sets of annotated code smells are not available in the literature, with only a few exceptions. This dataset provides 243 instances of five types of code smells identified from 20 open-source software projects. In particular, it contains a SQL file with the information concerning such instances and a zip file with their source code.

Vebinar - Open Access

The Faculty of Agriculture in Novi Sad, for the needs of the implementation of project activities within the CO-Change H2020, organized a webinar on Open Access, which was held on February 10, 2022 through the application ZOOM. The following webinar topics were covered: Green OA, PID (DOI, handle) for datasets, open data, researcher responsibilities, librarian responsibilities. Lecturers: Milica &Scaron;evku&scaron;ić, librarian at the Institute of Technical Sciences of SANU and administrator of the institutional repository. He is part of the Repository Development Team of the Computer Center of the University of Belgrade. Participates in the realization of educational programs of the Section of Librarians and Librarians of the Association of Institutes of Serbia and the Association of Open Science of Serbia. Since 2014, he has been the national coordinator for open access at the international consortium EIFL. Ljiljana Radisavljević, graduate librarian-computer scientist at the Institute of Vegetables. He runs the scientific research library at the institute and is the administrator of the institutional repository. He leads training programs for researchers employed at the Institute in the field of communication systems in science, use of sources of scientific information, open access, open science, copyright and evaluation of scientific work, support for the implementation of open science policies. Support Biljana Kosanović, Computer Center of the University of Belgrade - RCUB. Representative of PFNS and Co-Change Dejan Beuković, Assistant Professor at the Faculty of Agriculture, University of Novi Sad.

opencc-by-4.0Nov 2021View details →

Random Sample of Open Source Ventilators

This is a random sample of references to open source ventilators based on the data published by the PubInv project (https://github.com/PubInv/covid19-vent-list CC0-1.0). It was used to verify technology and documentation readiness scales introduced in a CIRP design conference paper. This upload shall make the data set used for the conference paper publicly accessible.

Open access data from the International Design Engineering Annual (IDEA) Challenge 2021

Open access dataset from the IDEA challenge 2021.  The generation of this dataset has been undertaken as part of the ProtoTwin project (Improving the product development process through integrated revision control and twinning of digital-physical models during prototyping). The work was conducted at the University of Bristol in the Design and Manufacturing Futures Lab (<a href="http://www.dmf-lab.co.uk/">http://www.dmf-lab.co.uk</a>) and is funded by the Engineering and Physical Sciences Research Council (EPSRC), Grant reference <a href="https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/R032696/1">EP/R032696/1</a>.  The dataset was generated in collaboration with the Norwegian Technical University (NTNU), University of Zagreb and University of Twente. For more information please contact Mark (mark.goudswaard @ bristol.ac.uk) or James ( james.gopsill @ bristol.ac.uk)

A survey of access to the digital collections of 195 UK GLAMs across internal and external platforms - Appendix 1 for A Culture of Copyright: A scoping study on open access to digital cultural heritage collections in the UK

Created for the<a href="https://doi.org/10.5281/zenodo.6242611"> 'A Culture of Copyright: A scoping study on open access to digital cultural heritage collections in the UK' </a>report, this sample replicates and expands the Open galleries, libraries, archives and museums (GLAMs) Survey data extraction and methodology to include a range of GLAMs across the UK and new data points. The initial sample of 350 organisations included Independent Research Organisations (IROs) and Research Centre Institutes (RCIs), GLAMs associated with <a href="https://www.nationalcollection.org.uk/">Towards a National Collection</a> Foundation and Discovery projects, UK GLAMs in the Open GLAM Survey, and other UK GLAMs and related organisations. An initial review was performed to identify and remove organisations outside the scope of inquiry (e.g., no permanent collections). The final sample included 195 organisations. From the final sample, 24 are IROs (all RCIs were removed). Another 32 are Universities (including GLAMs within universities). This brings the total number of organisations eligible for AHRC funding to 56 (or 28.6%). The remaining 140 include public and private GLAMs at national, regional and local levels (e.g., councils, historic buildings) and research initiatives or data aggregators (e.g., Portable Antiquities Scheme, Culture Grid, Archaeology Data Service). Organisations are distributed across the UK as follows: Channel Islands (1 total); England (154 total); Isle of Man (1 total); Northern Ireland (5 total); Scotland (28 total); Wales (6 total). A survey of the copyright and open access policies of 63 GLAMs from the UK GLAM Sample is available on Zenodo at: <a href="https://doi.org/10.5281/zenodo.6242559">https://doi.org/10.5281/zenodo.6242559</a>

GreenCharge Open Research Data

These datasets are collected from the pilots in the H2020 GreenCharge project. The data format and content is described in the  GreenCharge Deliverable D5.6 Open Research Data.