cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
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DOI: 10.57745/na1snr
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DOI: 10.57745/kvys4v
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DOI: 10.57745/lqdlp7
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DOI: 10.57745/votpvo
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DOI: 10.57745/fywhdn
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DOI: 10.57745/6govck
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DOI: 10.57745/axs2gv
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DOI: 10.57745/vembxk
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DOI: 10.57745/r35rn0
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DOI: 10.57745/vqjvl1
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DOI: 10.57745/yo9e4u
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DOI: 10.57745/ffzifg
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DOI: 10.57745/pk069k
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DOI: 10.57745/lvvb6h
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DOI: 10.57745/rquicb
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DOI: 10.57745/arsafv
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DOI: 10.57745/65q46s
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DOI: 10.57745/rp9jsi
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DOI: 10.57745/d5rjj1
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DOI: 10.57745/fcnca0
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DOI: 10.57745/4rfaz9
title: 0000002588.tif
DOI: 10.57745/mblhxp
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DOI: 10.57745/wapqyu
title: 0000002590.tif
DOI: 10.57745/se0tbc
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DOI: 10.57745/l6tsee
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DOI: 10.57745/aeiuc3
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DOI: 10.57745/hjfynb
title: 0000002595.tif
DOI: 10.57745/3ufxuj
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DOI: 10.57745/h1uosf
title: 0000002597.tif
DOI: 10.57745/c0afrt
title: 0000002598.tif
DOI: 10.57745/hxc5kh
title: 0000002599.tif
DOI: 10.57745/xkwidc
title: images_informations.dat
DOI: 10.5281/zenodo.8138121
title: Reduced Graphene Oxide Electrolyte-Gated Transistor Immunosensor with Highly Selective Multiparametric Detection of Anti-Drug Antibodies

description: Dataset for the publication: Sensi, M., de Oliveira, R. F., Berto, M., Palmieri, M., Ruini, E., Livio, P. A., Conti, A., Pinti, M., Salvarani, C., Cossarizza, A., Cabot, J. M., Ricart, J., Casalini, S., González-García, M. B., Fanjul-Bolado, P., Bortolotti, C. A., Samorì, P., Biscarini, F., Reduced Graphene Oxide Electrolyte-Gated Transistor Immunosensor with Highly Selective Multiparametric Detection of Anti-Drug Antibodies. <em>Adv. Mater.</em> 2023, 2211352. https://doi.org/10.1002/adma.202211352 Transfer curves measured with different analytes (used for Figure 3 in the results and discussion section of the publication). In every file are reported the gate-source voltages (V<sub>GS</sub>) and the average drain-source currents (I<sub>DS</sub>) after exposure of the gate to ATI (Transfer_ATI-dataset), ATI+TNFa(Transfer_ATI+TNFa-dataset), TNFa(Transfer_TNFa-dataset) at specific concentration. Transfer_control is the dataset for the control experiments, without the probe on gate. EIS (EIS-functionalization-dataset) dataset has been used for the functionalization in figure 2b. In the the file are reported the frequency, the real and the imaginary impedance for each functionalization step (in specific tabs Au, SAM, IFX+ETA). Transfer (Transfer-functionalization-dataset) dataset used for the functionalization in figure 2c. In the the file are reported the V<sub>GS</sub> and the I<sub>DS </sub>for each functionalization step (in specific tabs Au, SAM, IFX+ETA).
DOI: 10.57745/jzc1zg
title: 0000100313.tif
DOI: 10.5281/zenodo.8138120
title: Reduced Graphene Oxide Electrolyte-Gated Transistor Immunosensor with Highly Selective Multiparametric Detection of Anti-Drug Antibodies

description: Dataset for the publication: Sensi, M., de Oliveira, R. F., Berto, M., Palmieri, M., Ruini, E., Livio, P. A., Conti, A., Pinti, M., Salvarani, C., Cossarizza, A., Cabot, J. M., Ricart, J., Casalini, S., González-García, M. B., Fanjul-Bolado, P., Bortolotti, C. A., Samorì, P., Biscarini, F., Reduced Graphene Oxide Electrolyte-Gated Transistor Immunosensor with Highly Selective Multiparametric Detection of Anti-Drug Antibodies. <em>Adv. Mater.</em> 2023, 2211352. https://doi.org/10.1002/adma.202211352 Transfer curves measured with different analytes (used for Figure 3 in the results and discussion section of the publication). In every file are reported the gate-source voltages (V<sub>GS</sub>) and the average drain-source currents (I<sub>DS</sub>) after exposure of the gate to ATI (Transfer_ATI-dataset), ATI+TNFa(Transfer_ATI+TNFa-dataset), TNFa(Transfer_TNFa-dataset) at specific concentration. Transfer_control is the dataset for the control experiments, without the probe on gate. EIS (EIS-functionalization-dataset) dataset has been used for the functionalization in figure 2b. In the the file are reported the frequency, the real and the imaginary impedance for each functionalization step (in specific tabs Au, SAM, IFX+ETA). Transfer (Transfer-functionalization-dataset) dataset used for the functionalization in figure 2c. In the the file are reported the V<sub>GS</sub> and the I<sub>DS </sub>for each functionalization step (in specific tabs Au, SAM, IFX+ETA).
DOI: 10.57745/6ymmwm
title: 0000100314.tif
DOI: 10.57745/uphwxx
title: 0000100315.tif
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title: 0000100316.tif
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title: 0000100317.tif
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title: 0000100318.tif
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title: 0000100319.tif
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title: 0000100320.tif
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title: 0000100321.tif
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title: 0000100322.tif
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title: 0000100324.tif
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title: 0000100325.tif
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title: 0000100326.tif
DOI: 10.57745/rqgz7r
title: 0000100327.tif
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title: 0000100328.tif
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title: 0000100329.tif
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title: 0000100352.tif
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title: 0000100353.tif
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title: 0000100359.tif
DOI: 10.57745/nbfuux
title: 0000100360.tif
DOI: 10.57745/snkiry
title: 0000100361.tif
DOI: 10.57745/rkzax3
title: 0000100362.tif
DOI: 10.57745/cuuxhx
title: 0000100363.tif
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title: 0000100364.tif
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title: 0000100365.tif
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title: 0000100366.tif
DOI: 10.57745/x8ppwb
title: 0000100367.tif
DOI: 10.57745/w71ri5
title: 0000100368.tif
DOI: 10.57745/6wf1nk
title: 0000100369.tif
DOI: 10.57745/rtxlik
title: 0000100370.tif
DOI: 10.57745/z3mkm5
title: 0000100371.tif
DOI: 10.57745/h0mt4b
title: 0000100372.tif
DOI: 10.57745/h4setb
title: 0000100373.tif
DOI: 10.57745/bprgoj
title: 0000100374.tif
DOI: 10.57745/iwtrci
title: 0000100375.tif
DOI: 10.57745/rsyprt
title: 0000100376.tif
DOI: 10.57745/gux6vj
title: 0000100377.tif
DOI: 10.57745/w6pt4l
title: 0000100378.tif
DOI: 10.57745/mf7bko
title: 0000100379.tif
DOI: 10.7479/4jg6-ae46
title: Micro-CTscans of paratypes for Pedioplanis mayeri Childers, Kirchhof Bauer, 2021 and Pedioplanis branchi Childers, Kirchhof Bauer, 2021 (Reptilia: Lacertidae)

description: The data comprises micro-CTscans of paratypes for the lacertid lizards Pedioplanis mayeri Childers, Kirchhof Bauer, 2021 and Pedioplanis branchi Childers, Kirchhof Bauer, 2021. The scans were generated in order to count presacral vertebrae over the course of the description of these two new species. The dataset contains scans of 6 individuals (4 P. branchi -2 males and 2 females; 2 P. mayeri - 1 male and 1 female) and provides their MfN accession numbers (ZMB numbers). Micro-CT scans were obtained using a Phoenix nanotom X-ray|s tube at 85 kV and 120 or 150 μA, generating 1440 projections with 750 ms per scan, with differing kV-settings depending on the respective specimen size. Effective voxel size, i.e., resolution in three-dimensional space, ranged from 12.8 to 14.3 μm. The cone beam reconstruction was performed using the datos|x-reconstruction software (GE Sensing Inspection Technologies GMBH phoenix|x-ray datos|x 2.2) and the data were visualized in VG Studio Max 3.1.
DOI: 10.57745/sgtexo
title: 0000100380.tif
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title: 0000100381.tif
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title: 0000100383.tif
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title: 0000100384.tif
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title: 0000100385.tif
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title: 0000100386.tif
DOI: 10.57745/jedgui
title: 0000100387.tif
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title: 0000100388.tif
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title: 0000100389.tif
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title: 0000100390.tif
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title: 0000100391.tif
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title: 0000100392.tif
DOI: 10.57745/zq6dcq
title: 0000100393.tif
DOI: 10.57745/81dadk
title: 0000100394.tif
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title: 0000100395.tif
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title: 0000100396.tif
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title: 0000100397.tif
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title: 0000100399.tif
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title: 0000100400.tif
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title: 0000100401.tif
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title: 0000100402.tif
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title: 0000100403.tif
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title: 0000100404.tif
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title: 0000100405.tif
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title: 0000100406.tif
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title: 0000100407.tif
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title: 0000100409.tif
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title: 0000100416.tif
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title: 0000100417.tif
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title: 0000100418.tif
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title: 0000100419.tif
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title: 0000100420.tif
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title: 0000100421.tif
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title: 0000100422.tif
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title: 0000100423.tif
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title: 0000100424.tif
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title: 0000100425.tif
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title: 0000100426.tif
DOI: 10.57745/losbm5
title: 0000100427.tif
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title: 0000100428.tif
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DOI: 10.57745/gp6rfa
title: 0000100431.tif
DOI: 10.57745/rk534r
title: 0000100432.tif
DOI: 10.57745/anjibu
title: 0000100433.tif
DOI: 10.57745/xfs01t
title: 0000100434.tif
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title: 0000100436.tif
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title: 0000100437.tif
DOI: 10.57745/mx0skt
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title: 0000100440.tif
DOI: 10.57745/uddbiw
title: 0000100441.tif
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title: 0000100442.tif
DOI: 10.57745/vwagdt
title: 0000100443.tif
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title: 0000100445.tif
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title: 0000100446.tif
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title: 0000100447.tif
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title: 0000100448.tif
DOI: 10.57745/xjww3w
title: 0000100449.tif
DOI: 10.57745/pt6cyh
title: 0000100450.tif
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title: 0000100451.tif
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title: 0000100452.tif
DOI: 10.57745/xa0vuv
title: 0000100453.tif
DOI: 10.57745/vluhgp
title: 0000100454.tif
DOI: 10.57745/zlycvc
title: 0000100455.tif
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DOI: 10.17045/sthlmuni.23703327
title: Dataset for: <strong>Which Electric Vehicle Charging Station to Upgrade? Don´t Trust Your Judgment</strong>

description: Electric vehicles need to be charged. For maximal efficiency the charging times should be as short as possible. In the US charging stations are classified as Level 1 charging 5 - 10 miles/h , Level 2 25 miles/h and Fast DCFC stations 150 - 1000 miles/h. We asked participants to select one of two upgrades of charging stations that would save most charging time for a vehicle. The alternatives were upgrading L1 (5miles/h) to L2 (25 miles/h) and L2 (25miles/h) to Fast (250 miles/h). 86% of the participants wanted to upgrade to a Fast station, which objectively saves less time than L1 to L2. The second study replicated the first study. 91% of the participants wanted to upgrade to the Fast (250) station. The third study offered alternatives with smaller objective efficiency differences than the earlier studies: upgrading L2 (30) to Fast (150) and Fast (150) to Fast (600). 68% of the participants preferred the second incorrect alternative. Verbal justifications showed that many participants seemed to assume that differences in charging time was proportional to charging time saved. The results illustrate the difficulty to process reciprocal variables and stress the need of using charging time saved when decisions are made about public electric charging stations. <br> The three SPSS (.sav) datafiles in this dataset can also be opened with the free software Jamovi (https://www.jamovi.org/)
DOI: 10.17045/sthlmuni.23703327.v1
title: Dataset for: <strong>Which Electric Vehicle Charging Station to Upgrade? Don´t Trust Your Judgment</strong>

description: Electric vehicles need to be charged. For maximal efficiency the charging times should be as short as possible. In the US charging stations are classified as Level 1 charging 5 - 10 miles/h , Level 2 25 miles/h and Fast DCFC stations 150 - 1000 miles/h. We asked participants to select one of two upgrades of charging stations that would save most charging time for a vehicle. The alternatives were upgrading L1 (5miles/h) to L2 (25 miles/h) and L2 (25miles/h) to Fast (250 miles/h). 86% of the participants wanted to upgrade to a Fast station, which objectively saves less time than L1 to L2. The second study replicated the first study. 91% of the participants wanted to upgrade to the Fast (250) station. The third study offered alternatives with smaller objective efficiency differences than the earlier studies: upgrading L2 (30) to Fast (150) and Fast (150) to Fast (600). 68% of the participants preferred the second incorrect alternative. Verbal justifications showed that many participants seemed to assume that differences in charging time was proportional to charging time saved. The results illustrate the difficulty to process reciprocal variables and stress the need of using charging time saved when decisions are made about public electric charging stations. <br> The three SPSS (.sav) datafiles in this dataset can also be opened with the free software Jamovi (https://www.jamovi.org/)
DOI: 10.57745/bnzvem
title: 0000100488.tif
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title: 0000100489.tif
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title: 0000100494.tif
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title: 0000100495.tif
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title: 0000100497.tif
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title: 0000100498.tif
DOI: 10.57745/8tnq0r
title: 0000100499.tif
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title: 0000100500.tif
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title: 0000100501.tif
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title: 0000100502.tif
DOI: 10.57745/8mzetq
title: 0000100503.tif
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title: 0000100504.tif
DOI: 10.57745/fqro2y
title: 0000100505.tif
DOI: 10.57745/vavkio
title: 0000100506.tif
DOI: 10.57745/k6kexu
title: 0000100507.tif
DOI: 10.57745/dwmipt
title: 0000100508.tif
DOI: 10.57745/gfsvol
title: 0000100509.tif
DOI: 10.57745/ubory1
title: 0000100510.tif
DOI: 10.57745/kketsz
title: 0000100511.tif
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title: 0000100512.tif
DOI: 10.57745/1dq00w
title: 0000100513.tif
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title: 0000100514.tif
DOI: 10.57745/zqjon7
title: 0000100515.tif
DOI: 10.57745/vgdqfa
title: 0000100516.tif
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title: 0000100517.tif
DOI: 10.57745/af18r7
title: 0000100518.tif
DOI: 10.57745/imwu3k
title: 0000100519.tif
DOI: 10.57745/x6iaii
title: 0000100520.tif
DOI: 10.57745/hgu4w1
title: 0000100521.tif
DOI: 10.57745/pmtzvf
title: 0000100522.tif
DOI: 10.57745/cw4rya
title: 0000100523.tif
DOI: 10.57745/pacak1
title: 0000100524.tif
DOI: 10.57745/1tiujr
title: 0000100525.tif
DOI: 10.57745/36o3um
title: 0000100526.tif
DOI: 10.6084/m9.figshare.23708616
title: Table S3. Evolutionary application - supplementary information

description: Table S3. Dataset used in Experiment 1 and Experiment 2, and summary of the sample size
DOI: 10.6084/m9.figshare.23708616.v1
title: Table S3. Evolutionary application - supplementary information

description: Table S3. Dataset used in Experiment 1 and Experiment 2, and summary of the sample size
DOI: 10.57745/ocx0ac
title: 0000100527.tif
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