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RNA-seq of tumor-educated platelets enables blood-based pan-cancer, multiclass and molecular pathway cancer diagnostics
Best, M. (Creator), NCBI GEO, 2015
Dataset
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Additional file 1 of Cerebrospinal fluid tau levels are associated with abnormal neuronal plasticity markers in Alzheimer’s disease
Blennow, K. (Contributor), Smit, A. B. (Contributor), Bos, I. (Contributor), Dicks, E. (Contributor), Gobom, J. (Contributor), Molinuevo, J. L. (Contributor), Engelborghs, S. (Contributor), Froelich, L. (Contributor), Zetterberg, H. (Contributor), Jansen, I. (Contributor), Scheltens, P. (Contributor), Bertram, L. (Contributor), Martinez-Lage, P. (Contributor), Verhey, F. R. J. (Contributor), Vandenberghe, R. (Contributor), Freund-Levi, Y. (Contributor), Lovestone, S. (Contributor), Teunissen, C. E. (Contributor), Sleegers, K. (Contributor), Reus, L. M. (Contributor), Visser, P. J. (Contributor), Tsolaki, M. (Contributor), Dobricic, V. (Contributor), Streffer, J. (Contributor), Popp, J. (Contributor), Vos, S. J. B. (Contributor), van der Lee, S. J. (Contributor), Tijms, B. M. (Contributor) & Lle?, A. (Contributor), figshare Academic Research System, 1 Jan 2022
DOI: 10.6084/m9.figshare.19445890.v1, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Cerebrospinal_fluid_tau_levels_are_associated_with_abnormal_neuronal_plasticity_markers_in_Alzheimer_s_disease/19445890/1
Dataset
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Data for: How normal is normal: consequences of stride to stride variability, treadmill walking and age when using normative paediatric gait data.
Oudenhoven, L. (Contributor), Buizer, A. (Contributor), Booth, A. (Contributor) & van der Krogt, M. (Contributor), Unknown Publisher, 27 Mar 2019
DOI: 10.17632/jpbwp65cwb.1, https://data.mendeley.com/datasets/jpbwp65cwb
Dataset
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Sequential Learning of Regression Models by Penalized Estimation
Binder, H. (Contributor) & van Wieringen, W. (Contributor), figshare Academic Research System, 1 Jan 2022
DOI: 10.6084/m9.figshare.19100092.v2, https://tandf.figshare.com/articles/dataset/Sequential_learning_of_regression_models_by_penalized_estimation/19100092/2
Dataset
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Tomosyn associates with secretory vesicles in neurons through its N- and C-terminal domains
Groffen, S. (Creator), Geerts, C. J. (Creator) & Mancini, R. (Creator), PLOS, 31 Dec 2017
https://dataverse.nl/dataset.xhtml?persistentId=hdl:10411/Y4R7GN
Dataset
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Replication data for: SICT: automated detection and supervised inspection of fast Ca2+ transients
Groffen, S. (Contributor), Unknown Publisher, 1 Jan 2018
DOI: 10.34894/ywgtjn, https://doi.org/10.34894%2Fywgtjn
Dataset
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1024-channel electrophysiological recordings in macaque V1 and V4 during resting state
Chen, X. (Contributor), Morales-Gregorio, A. (Contributor), Sprenger, J. (Contributor), Kleinjohann, A. (Contributor), Sridhar, S. (Contributor), Van Albada, S. (Contributor), Grün, S. (Contributor) & Roelfsema, P. (Contributor), German Neuroinformatics Node, 1 Jan 2021
DOI: 10.12751/g-node.i20kyh, https://doi.gin.g-node.org/10.12751/g-node.i20kyh
Dataset
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An Algorithm for the Diagnosis of Behçet Disease Uveitis in Adults
Tugal-Tutkun, I. (Contributor), Onal, S. (Contributor), Stanford, M. (Contributor), Akman, M. (Contributor), Twisk, J. (Contributor), Boers, M. (Contributor), Oray, M. (Contributor), Özdal, P. Ç. (Contributor), Kadayifcilar, S. (Contributor), Amer, R. (Contributor), Rathinam, S. R. (Contributor), Vedhanayaki, R. (Contributor), Khairallah, M. (Contributor), Akova, Y. (Contributor), Yalcindag, F. N. (Contributor), Kardes, E. (Contributor), Basarir, B. (Contributor), Altan, Ç. (Contributor), Özyazgan, Y. (Contributor) & Gül, A. (Contributor), Unknown Publisher, 1 Jan 2020
DOI: 10.6084/m9.figshare.12123903.v1, https://tandf.figshare.com/articles/An_Algorithm_for_the_Diagnosis_of_Beh_et_Disease_Uveitis_in_Adults/12123903/1
Dataset
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A comparison of population receptive fields from fMRI and large-scale neurophysiological recordings in non-human primates.
Chen, X. (Contributor), Vanduffel, W. (Contributor), Roelfsema, P. (Contributor) & Klink, C. (Contributor), Unknown Publisher, 1 Jan 2021
DOI: 10.12751/g-node.p8ypgv, https://doi.gin.g-node.org/10.12751/g-node.p8ypgv
Dataset
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The Generalized Ridge Estimator of the Inverse Covariance Matrix
van Wieringen, W. (Contributor), figshare Academic Research System, 1 Jan 2021
DOI: 10.6084/m9.figshare.7981724.v3, https://tandf.figshare.com/articles/dataset/The_generalized_ridge_estimator_of_the_inverse_covariance_matrix/7981724/3
Dataset
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Dynamin controls neuropeptide secretion by organizing dense-core vesicle fusion sites.
Moro, A. (Contributor), Van Nifterick, A. (Contributor), Toonen, R. (Contributor) & Verhage, M. (Contributor), DataverseNL, 1 Jan 2021
DOI: 10.34894/gzsbvp, https://doi.org/10.34894%2Fgzsbvp
Dataset
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Swarm intelligence-enhanced detection of non-small cell lung cancer using tumor-educated platelets
Best, M. (Creator), NCBI GEO, 2017
Dataset
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Netherlands Study of Depression and Anxiety (NESDA)
Penninx, B. (Creator), NESDA consortium: www.nesda.nl, 2021
Dataset
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Additional file 13 of Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer
Soleimani Dodaran, M. (Contributor), Borgoni, S. (Creator), Sofyall, E. (Contributor), Verschure, P. J. (Contributor), Wiemann, S. (Creator), Moerland, P. D. (Creator) & van Kampen, A. (Contributor), Figshare, 2020
DOI: 10.6084/m9.figshare.12673803.v1, https://springernature.figshare.com/articles/Additional_file_13_of_Candidate_methylation_sites_associated_with_endocrine_therapy_resistance_in_ER_HER2-_breast_cancer/12673803/1
Dataset
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Candidate methylation sites associated with endocrine therapy resistance in ER+/HER2- breast cancer
Soleimani Dodaran, M. (Contributor), Borgoni, S. (Contributor), Sofyall, E. (Contributor), Verschure, P. J. (Contributor), Wiemann, S. (Contributor), Moerland, P. D. (Contributor) & van Kampen, A. (Contributor), Springer Nature, 2020
DOI: 10.6084/m9.figshare.c.5067306.v1, https://springernature.figshare.com/collections/Candidate_methylation_sites_associated_with_endocrine_therapy_resistance_in_ER_HER2-_breast_cancer/5067306/1
Dataset
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Additional file 4 of Changes in the quality of cancer care as assessed through performance indicators during the first wave of the COVID-19 pandemic in 2020: a scoping review
Valente Cardoso Dias Carvalho Pais Silva, S. (Creator), Brito Fernandes, Ó. (Creator), de Lange, M. (Creator), Lingsma, H. (Creator), Klazinga, N. (Creator), Kringos, D. (Creator) & Lingsma, H. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.20098498.v1, https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Changes_in_the_quality_of_cancer_care_as_assessed_through_performance_indicators_during_the_first_wave_of_the_COVID-19_pandemic_in_2020_a_scoping_review/20098498/1
Dataset
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Data underlying the figures in the paper: "Reliable measurements of extracellular vesicles by clinical flow cytometry"
Kuiper, M. (Contributor), van de Nes, A. (Contributor), Nieuwland, R. (Contributor), Varga, Z. (Contributor), van der Pol, E. (Contributor) & Zoltan, V. (Contributor), ZENODO, 25 Feb 2021
DOI: 10.5281/zenodo.4561815, https://zenodo.org/record/4561815
Dataset
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Additional file 1: of Disease progression in women with X-linked adrenoleukodystrophy is slow
Huffnagel, I. C. (Creator), Dijkgraaf, M. (Creator), Janssens, G. (Creator), van Weeghel, M. (Contributor), Van Geel, B. M. (Contributor), Poll-The, B. (Contributor), Kemp, S. (Creator), Engelen, M. (Creator) & Weeghel, M. (Creator), Figshare, 2019
DOI: 10.6084/m9.figshare.7693295.v1, https://springernature.figshare.com/articles/Additional_file_1_of_Disease_progression_in_women_with_X-linked_adrenoleukodystrophy_is_slow/7693295/1
Dataset
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How does it feel? An exploration of neurobiological and clinical correlates of alexithymia in trauma-exposed police-officers with and without PTSD
van Sleeuwen, C. (Creator), van Zuiden, M. (Creator), Koch, S. B. J. (Creator), Frijling, J. L. (Creator), Veltman, D. (Creator), Olff, M. (Creator) & Nawijn, L. (Creator), Taylor & Francis, 2023
DOI: 10.6084/m9.figshare.24599456.v1, https://tandf.figshare.com/articles/dataset/How_does_it_feel_An_exploration_of_neurobiological_and_clinical_correlates_of_alexithymia_in_trauma-exposed_police-officers_with_and_without_PTSD/24599456/1 and one more link, https://tandf.figshare.com/articles/dataset/How_does_it_feel_An_exploration_of_neurobiological_and_clinical_correlates_of_alexithymia_in_trauma-exposed_police-officers_with_and_without_PTSD/24599456 (show fewer)
Dataset
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Additional file 1: of Pregnant womensâ concerns when invited to a randomized trial: a qualitative case control study
Oude Rengerink, K. (Contributor), Logtenberg, S. (Creator), Hooft, L. (Creator), Bossuyt, P. (Creator), Mol, B. (Creator), Bossuyt, P. (Creator) & Mol, B. (Creator), Figshare, 2015
DOI: 10.6084/m9.figshare.c.3640472_d1, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Pregnant_womens_concerns_when_invited_to_a_randomized_trial_a_qualitative_case_control_study/4455497
Dataset
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Additional file 1 of Minimizing population health loss due to scarcity in OR capacity: validation of quality of life input
Gravesteijn, B. (Creator), van Hof, K. S. (Creator), Krijkamp, E. (Creator), Asselman, F. (Creator), Leemans, C. R. (Creator), van Alphen, A. M. I. A. (Creator), van der Horst, H. (Creator), Widdershoven, G. (Creator), de Jong, L. B. (Contributor), Lingsma, H. (Creator), Busschbach, J. (Creator), de Jong, R. B. (Contributor), Lingsma, H. (Creator) & Baatenburg de Jong, R. (Creator), Figshare, 2023
DOI: 10.6084/m9.figshare.22616969.v1, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Minimizing_population_health_loss_due_to_scarcity_in_OR_capacity_validation_of_quality_of_life_input/22616969/1
Dataset
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MOESM4 of A genome-wide DNA methylation signature for SETD1B-related syndrome
Krzyzewska, I. (Contributor), Maas, S. (Contributor), Henneman, P. (Contributor), Lip, K. V. D. (Contributor), Venema, A. (Contributor), Baranano, K. (Contributor), Chassevent, A. (Contributor), Aref-Eshghi, E. (Contributor), Fukuda, T. (Contributor), Ikeda, H. (Contributor), Jacquemont, M. (Contributor), Kim, H. (Contributor), Labalme, A. (Contributor), Lewis, S. M. E. (Contributor), Lesca, G. (Contributor), Madrigal, I. (Contributor), Mahida, S. (Contributor), Matsumoto, N. (Contributor), Rabionet, R. (Contributor), Rajcan-Separovic, E. (Contributor), Qiao, Y. (Contributor), Sadikovic, B. (Contributor), Saitsu, H. (Contributor), Sweetser, D. A. (Contributor), Alders, M. (Contributor) & Mannens, M. (Contributor), Figshare, 2019
DOI: 10.6084/m9.figshare.10252091, https://springernature.figshare.com/articles/MOESM4_of_A_genome-wide_DNA_methylation_signature_for_SETD1B-related_syndrome/10252091
Dataset
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MOESM3 of A genome-wide DNA methylation signature for SETD1B-related syndrome
Krzyzewska, I. (Contributor), Maas, S. (Contributor), Henneman, P. (Contributor), Lip, K. V. D. (Contributor), Venema, A. (Contributor), Baranano, K. (Contributor), Chassevent, A. (Contributor), Aref-Eshghi, E. (Contributor), Fukuda, T. (Contributor), Ikeda, H. (Contributor), Jacquemont, M. (Contributor), Kim, H. (Contributor), Labalme, A. (Contributor), Lewis, S. M. E. (Contributor), Lesca, G. (Contributor), Madrigal, I. (Contributor), Mahida, S. (Contributor), Matsumoto, N. (Contributor), Rabionet, R. (Contributor), Rajcan-Separovic, E. (Contributor), Qiao, Y. (Contributor), Sadikovic, B. (Contributor), Saitsu, H. (Contributor), Sweetser, D. A. (Contributor), Alders, M. (Contributor) & Mannens, M. (Contributor), Figshare, 2019
DOI: 10.6084/m9.figshare.10252082, https://springernature.figshare.com/articles/MOESM3_of_A_genome-wide_DNA_methylation_signature_for_SETD1B-related_syndrome/10252082
Dataset