21 to 30 of 115 Results
Jan 26, 2024 - SENSE:WP1:Identification of root exudate compounds secreted by Arabidopsis thaliana in presence of PCBs
Rolli, Eleonora, 2024, "SENSE_WP1_T1.5_Evaluate the effect of flavonoids in bacteria phenotype_growth _v.01", https://doi.org/10.13130/RD_UNIMI/S1QDCR, UNIMI Dataverse, V1, UNF:6:DNVts/8gTsozQLb/9UZxFw== [fileUNF]
This dataset contains information on flavonoid-triggered effects on the growth of the PCB-degrading bacterium Paraburkholderia xenovorans LB400 |
Dec 30, 2023 - Francesca Pecori Giraldi
Pecori Giraldi, Francesca, 2023, "Replication Data for "In vitro effects of a novel somatostatin receptor 5-preferring agonist on human GH- and ACTH-secreting pituitary adenomas"", https://doi.org/10.13130/RD_UNIMI/DXUJXX, UNIMI Dataverse, V1
IN VITRO EFFECT OF A NOVEL SOMATOSTATIN RECEPTOR 5-PREFERRING AGONIST ON HUMAN GH- AND ACTH-SECRETING PITUITARY ADENOMAS Details of ACTH and GH secretion and gene expression |
Dec 18, 2023 - Optlab
Barbato, Michele; Bianchessi, Nicola, 2023, "Replication data for "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations"", https://doi.org/10.13130/RD_UNIMI/GD9OKQ, UNIMI Dataverse, V1
Instances and detailed experimental results of the research work entitled "Sub-tree scheduling for wireless sensor networks with partial coverage: complexity and polynomial-size formulations". For additional information, please refer to the included readme file. |
Dec 13, 2023 - Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Castiglioni, Sara, 2023, "Replication Data for: nuclei analysis 24h for "Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells"", https://doi.org/10.13130/RD_UNIMI/POMDK7, UNIMI Dataverse, V1
Replication Data for: nuclei analysis 24h |
Dec 13, 2023 - Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Castiglioni, Sara, 2023, "Replication Data for: nuclei analysis 72h for "Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells"", https://doi.org/10.13130/RD_UNIMI/XBXIIW, UNIMI Dataverse, V1
Replication Data for: nuclei analysis 72h |
Dec 13, 2023 - Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Castiglioni, Sara, 2023, "Replication Data for: RT-PCR for "Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells"", https://doi.org/10.13130/RD_UNIMI/UBGY0M, UNIMI Dataverse, V1, UNF:6:M4VBdOK2ZKSZmCZB57gf/A== [fileUNF]
Replication Data for: RT-PCR |
Dec 13, 2023 - Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Castiglioni, Sara, 2023, "Replication Data for: RT-PCR for "Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells"", https://doi.org/10.13130/RD_UNIMI/YIAURF, UNIMI Dataverse, V1
Replication Data for: RT-PCR |
Dec 13, 2023 - Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Castiglioni, Sara, 2023, "Replication Data for: mitochondrial transmembrane potential for "Cluster-Assembled Zirconia Substrates Accelerate the Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells"", https://doi.org/10.13130/RD_UNIMI/G50JNI, UNIMI Dataverse, V1, UNF:6:owJOoVmMg9unMdZvfqo2dg== [fileUNF]
Replication Data for: mitochondrial transmembrane potential |
Dec 12, 2023 - Photon detection in Extreme Environments for Fundamental and Applied Physics
Lazzaroni, Massimo, 2023, "DC-DC Rev. 3 Experimental activity", https://doi.org/10.13130/RD_UNIMI/L3F6N8, UNIMI Dataverse, V1
Test Results |
Dec 12, 2023 - Aladdin
Bellettini, Carlo; Lonati, Violetta; Monga, Mattia; Morpurgo, Anna, 2023, "Replication Data for: To be or not to be... an algorithm: the notion according to students and teachers", https://doi.org/10.13130/RD_UNIMI/JM0R05, UNIMI Dataverse, V1
Quasi-algorithms used in the workshop described in the paper. |