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f | 1 | { | f | 1 | { |
2 | "author": "Sapotta, Benedikt", | 2 | "author": "Sapotta, Benedikt", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1356", | 5 | "doi": "10.35097/1356", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "groups": [], | 9 | "groups": [], | ||
10 | "id": "274213f7-2a33-4b2d-aab9-43c59edca87f", | 10 | "id": "274213f7-2a33-4b2d-aab9-43c59edca87f", | ||
11 | "isopen": false, | 11 | "isopen": false, | ||
12 | "license_id": "CC BY 4.0 Attribution", | 12 | "license_id": "CC BY 4.0 Attribution", | ||
13 | "license_title": "CC BY 4.0 Attribution", | 13 | "license_title": "CC BY 4.0 Attribution", | ||
14 | "metadata_created": "2023-08-04T08:50:36.446311", | 14 | "metadata_created": "2023-08-04T08:50:36.446311", | ||
t | 15 | "metadata_modified": "2023-08-04T09:04:12.967115", | t | 15 | "metadata_modified": "2023-08-04T09:31:17.880853", |
16 | "name": "rdr-doi-10-35097-1356", | 16 | "name": "rdr-doi-10-35097-1356", | ||
17 | "notes": "TechnicalRemarks: ### Supplementary Research Data for the | 17 | "notes": "TechnicalRemarks: ### Supplementary Research Data for the | ||
18 | dissertation\r\n### \"Comprehensive insights into the impedimetric | 18 | dissertation\r\n### \"Comprehensive insights into the impedimetric | ||
19 | characterization of dielectric thin films\"\r\n### by Benedikt | 19 | characterization of dielectric thin films\"\r\n### by Benedikt | ||
20 | Sapotta\r\n\r\nImportant: The impedance spectra are disclosed as .DTA | 20 | Sapotta\r\n\r\nImportant: The impedance spectra are disclosed as .DTA | ||
21 | files which can be accessed with e.g. the text editor\r\n\r\n\r\n### | 21 | files which can be accessed with e.g. the text editor\r\n\r\n\r\n### | ||
22 | Content\r\n\r\n\r\n#### 1 Estimation of IDE cell constant\r\n\r\n- | 22 | Content\r\n\r\n\r\n#### 1 Estimation of IDE cell constant\r\n\r\n- | ||
23 | python script to calculate an IDE cell constant based on | 23 | python script to calculate an IDE cell constant based on | ||
24 | https://doi.org/10.1016/0925-4005(95)85053-8\r\n\r\n\r\n#### 2 | 24 | https://doi.org/10.1016/0925-4005(95)85053-8\r\n\r\n\r\n#### 2 | ||
25 | Estimation of effective permittivity of coated IDE\r\n\r\n- python | 25 | Estimation of effective permittivity of coated IDE\r\n\r\n- python | ||
26 | script to calculate the effective permittivity of a coated IDE | 26 | script to calculate the effective permittivity of a coated IDE | ||
27 | structure base on https://doi.org/10.1016/j.sna.2011.09.033 and | 27 | structure base on https://doi.org/10.1016/j.sna.2011.09.033 and | ||
28 | https://doi.org/10.1016/j.sna.2004.01.040\r\n- functionality of the | 28 | https://doi.org/10.1016/j.sna.2004.01.040\r\n- functionality of the | ||
29 | python script is demonstrated by reproducing figure 7 and 8 from | 29 | python script is demonstrated by reproducing figure 7 and 8 from | ||
30 | https://doi.org/10.1016/j.sna.2011.09.033\r\n\r\n\r\n#### 3 Uncoated | 30 | https://doi.org/10.1016/j.sna.2011.09.033\r\n\r\n\r\n#### 3 Uncoated | ||
31 | IDE data\r\n\r\n- light and scanning electron micrographs of the | 31 | IDE data\r\n\r\n- light and scanning electron micrographs of the | ||
32 | uncoated IDE structures\r\n\r\n- impedance spectra discussed in | 32 | uncoated IDE structures\r\n\r\n- impedance spectra discussed in | ||
33 | chapter 5.2 together with the data fit results using ECM 1\r\n\r\n- | 33 | chapter 5.2 together with the data fit results using ECM 1\r\n\r\n- | ||
34 | impedance spectra and evaluation procedure discussed in chapter | 34 | impedance spectra and evaluation procedure discussed in chapter | ||
35 | 5.3\r\n - python scripts to compute the reference conductivities | 35 | 5.3\r\n - python scripts to compute the reference conductivities | ||
36 | \"Expected Conductivities.py\" and reference permittivities \"Expected | 36 | \"Expected Conductivities.py\" and reference permittivities \"Expected | ||
37 | Permittivities.py\"\r\n - data fit results to the aqueous KCl | 37 | Permittivities.py\"\r\n - data fit results to the aqueous KCl | ||
38 | solutions copied into an excel file\r\n - python script to compute the | 38 | solutions copied into an excel file\r\n - python script to compute the | ||
39 | capacitance C\\_Par+C\\_Geo from the DRM impedance spectra | 39 | capacitance C\\_Par+C\\_Geo from the DRM impedance spectra | ||
40 | \"Capacitance\\_Calculator.py\"\r\n - python script to compute the | 40 | \"Capacitance\\_Calculator.py\"\r\n - python script to compute the | ||
41 | relative permittivities of the DRMs from C\\_Par+C\\_Geo | 41 | relative permittivities of the DRMs from C\\_Par+C\\_Geo | ||
42 | \"Permittivity\\_Calculator.py\"\r\n - python script to compute the | 42 | \"Permittivity\\_Calculator.py\"\r\n - python script to compute the | ||
43 | electrolytic condudctivity of the CRMs from the R\\_E best fit | 43 | electrolytic condudctivity of the CRMs from the R\\_E best fit | ||
44 | estimates \"Conductivity\\_Calculator.py\"\r\n\r\n\r\n#### 4 HKUST\\-1 | 44 | estimates \"Conductivity\\_Calculator.py\"\r\n\r\n\r\n#### 4 HKUST\\-1 | ||
45 | coated IDE data\r\n\r\n- data and evaluation procedures for the coated | 45 | coated IDE data\r\n\r\n- data and evaluation procedures for the coated | ||
46 | 5 \u00b5m electrode chip discussed in chapter 6.1 \r\n - impedance | 46 | 5 \u00b5m electrode chip discussed in chapter 6.1 \r\n - impedance | ||
47 | spectra collected with the\r\n - DRMs: 1-butanol, ethanol and air to | 47 | spectra collected with the\r\n - DRMs: 1-butanol, ethanol and air to | ||
48 | obtain C\\_Par and K\\_Cell of the electrode chip\r\n - linker | 48 | obtain C\\_Par and K\\_Cell of the electrode chip\r\n - linker | ||
49 | precursor solution as a function of the growth cycles (1-205)\r\n - | 49 | precursor solution as a function of the growth cycles (1-205)\r\n - | ||
50 | metal precursor solution as a function of the growth cycles | 50 | metal precursor solution as a function of the growth cycles | ||
51 | (1-205)\r\n - ECM 2 fit results to the metal and linker data copied | 51 | (1-205)\r\n - ECM 2 fit results to the metal and linker data copied | ||
52 | into the excel file \"ECM\\_2\\_BatchFit\\_Results.xlsx\"\r\n - an | 52 | into the excel file \"ECM\\_2\\_BatchFit\\_Results.xlsx\"\r\n - an | ||
53 | animated bode plot of the linker and metal impedance spectra\r\n\r\n - | 53 | animated bode plot of the linker and metal impedance spectra\r\n\r\n - | ||
54 | python script for the monte carlo modelling to obtain the coating | 54 | python script for the monte carlo modelling to obtain the coating | ||
55 | permittivities and thickness based on the impedance data | 55 | permittivities and thickness based on the impedance data | ||
56 | \"MC\\_modelling\\_growth\\_data.py\"\r\n - a simplified data flow | 56 | \"MC\\_modelling\\_growth\\_data.py\"\r\n - a simplified data flow | ||
57 | chart as .png to facilitate the understanding of | 57 | chart as .png to facilitate the understanding of | ||
58 | \"MC\\_modelling\\_growth\\_data.py\"\r\n\r\n - an assortment of | 58 | \"MC\\_modelling\\_growth\\_data.py\"\r\n\r\n - an assortment of | ||
59 | scanning electron micrographs depicting the coated IDE structures \r\n | 59 | scanning electron micrographs depicting the coated IDE structures \r\n | ||
60 | \r\n- data and evaluation procedures for the coated 10 \u00b5m | 60 | \r\n- data and evaluation procedures for the coated 10 \u00b5m | ||
61 | electrode chip discussed in chapter 6.2 \r\n - python script which was | 61 | electrode chip discussed in chapter 6.2 \r\n - python script which was | ||
62 | used for the automated uptake of impedance spectra during the HKUST-1 | 62 | used for the automated uptake of impedance spectra during the HKUST-1 | ||
63 | coating process \"SURSENSOR.py\"\r\n - impedance data (FS= full | 63 | coating process \"SURSENSOR.py\"\r\n - impedance data (FS= full | ||
64 | impedance spectrum, SF= single frequency impedance data) collected | 64 | impedance spectrum, SF= single frequency impedance data) collected | ||
65 | with the \r\n - DRMs: 1-butanol, ethanl and air to obtain C\\_Par and | 65 | with the \r\n - DRMs: 1-butanol, ethanl and air to obtain C\\_Par and | ||
66 | K\\_Cell\r\n - linker precursor solution as a function of the growth | 66 | K\\_Cell\r\n - linker precursor solution as a function of the growth | ||
67 | cycle (1-200)\r\n - spectra were recorded after the 300, 600 and 900 | 67 | cycle (1-200)\r\n - spectra were recorded after the 300, 600 and 900 | ||
68 | seconds after the initial exposure to the linker solution, only the | 68 | seconds after the initial exposure to the linker solution, only the | ||
69 | 900 s data was evaluated\r\n - single frequency impedance data was | 69 | 900 s data was evaluated\r\n - single frequency impedance data was | ||
70 | recorded during the initial 300 seconds of the linker solution | 70 | recorded during the initial 300 seconds of the linker solution | ||
71 | exposure step at 100 kHz\r\n - metal precursor solution as a function | 71 | exposure step at 100 kHz\r\n - metal precursor solution as a function | ||
72 | of the growth cycle (1-200)\r\n - spectra were recorded after 200, | 72 | of the growth cycle (1-200)\r\n - spectra were recorded after 200, | ||
73 | 400 and 600 seconds after initial exposure to the metal solution, only | 73 | 400 and 600 seconds after initial exposure to the metal solution, only | ||
74 | the 600 s data was evaluated\r\n - single frequency impedance data | 74 | the 600 s data was evaluated\r\n - single frequency impedance data | ||
75 | was recorded during the initial 200 seconds of the metal solution | 75 | was recorded during the initial 200 seconds of the metal solution | ||
76 | exposure step at 100 kHz\r\n - testing solutions as a function of the | 76 | exposure step at 100 kHz\r\n - testing solutions as a function of the | ||
77 | growth cycle\r\n - spectra were recorded after 180, 240 and 300 | 77 | growth cycle\r\n - spectra were recorded after 180, 240 and 300 | ||
78 | seconds after initial exposure to the respective testing solution, | 78 | seconds after initial exposure to the respective testing solution, | ||
79 | only the 300 s data was evaluated\r\n - single frequency impedance | 79 | only the 300 s data was evaluated\r\n - single frequency impedance | ||
80 | data was recorded during the initial 180 seconds of each testing | 80 | data was recorded during the initial 180 seconds of each testing | ||
81 | solution exposure step at 1 MHz\r\n - ECM 2 fit results to the metal | 81 | solution exposure step at 1 MHz\r\n - ECM 2 fit results to the metal | ||
82 | and linker data copied into the excel file | 82 | and linker data copied into the excel file | ||
83 | \"Growth\\_Data\\_BatchFit\\_Results.xlsx\"\r\n - ECM 1 fit results to | 83 | \"Growth\\_Data\\_BatchFit\\_Results.xlsx\"\r\n - ECM 1 fit results to | ||
84 | the testing solution spectra recorded before the HKUST-1 coating | 84 | the testing solution spectra recorded before the HKUST-1 coating | ||
85 | process copied into the excel file \"Cycle\\_0\\_DataFits.xlsx\"\r\n - | 85 | process copied into the excel file \"Cycle\\_0\\_DataFits.xlsx\"\r\n - | ||
86 | ECM 2 fit results to the testing solution spectra recorded with the | 86 | ECM 2 fit results to the testing solution spectra recorded with the | ||
87 | HKUST-1 coated electrode structure copied into the excel files | 87 | HKUST-1 coated electrode structure copied into the excel files | ||
88 | \"Cycle\\_50DataFits.xlsx\", \"Cycle\\_100\\_Data\\_Fits.xlsx\", | 88 | \"Cycle\\_50DataFits.xlsx\", \"Cycle\\_100\\_Data\\_Fits.xlsx\", | ||
89 | \"Cycle 150 Data Fits.xlsx\" and \"Cycle\\_200DataFits.xlsx\",\r\n\r\n | 89 | \"Cycle 150 Data Fits.xlsx\" and \"Cycle\\_200DataFits.xlsx\",\r\n\r\n | ||
90 | - python script for the monte carlo modelling to obtain the coating | 90 | - python script for the monte carlo modelling to obtain the coating | ||
91 | permittivities and conductivities during the exposure with the testing | 91 | permittivities and conductivities during the exposure with the testing | ||
92 | solutions \"MC\\_modelling\\_testing\\_data.py\" which is an extension | 92 | solutions \"MC\\_modelling\\_testing\\_data.py\" which is an extension | ||
93 | of \"MC\\_modelling\\_growth\\_data.py\"\r\n - a simplified data flow | 93 | of \"MC\\_modelling\\_growth\\_data.py\"\r\n - a simplified data flow | ||
94 | chart as .png to facilitate the understanding of | 94 | chart as .png to facilitate the understanding of | ||
95 | \"MC\\_modelling\\_testing\\_data.py\"\r\n\r\n - python scripts to | 95 | \"MC\\_modelling\\_testing\\_data.py\"\r\n\r\n - python scripts to | ||
96 | compute the testing solution permittivities | 96 | compute the testing solution permittivities | ||
97 | \"Medium\\_RelativePermittvity\\_Calculator.py\" and conductivities | 97 | \"Medium\\_RelativePermittvity\\_Calculator.py\" and conductivities | ||
98 | \"Medium\\_Conductivity\\_Calculator.py\"\r\n \r\n - an assortment of | 98 | \"Medium\\_Conductivity\\_Calculator.py\"\r\n \r\n - an assortment of | ||
99 | scanning electron micrographs depicting the coated IDE | 99 | scanning electron micrographs depicting the coated IDE | ||
100 | structures\r\n\r\n#### 5 ZIF\\-8 coated IDE data\r\n- impedance | 100 | structures\r\n\r\n#### 5 ZIF\\-8 coated IDE data\r\n- impedance | ||
101 | spectra collected with the\r\n - uncoated 10 \u00b5m electrode chips | 101 | spectra collected with the\r\n - uncoated 10 \u00b5m electrode chips | ||
102 | and the DRMs: 1-butanol, ethanol and air to obtain C\\_Par and | 102 | and the DRMs: 1-butanol, ethanol and air to obtain C\\_Par and | ||
103 | K\\_Cell\r\n - ZIF-8 coated 10 \u00b5m electrode chip and the testing | 103 | K\\_Cell\r\n - ZIF-8 coated 10 \u00b5m electrode chip and the testing | ||
104 | media: air, ethanol and 1 mM KCl dissolved in ethanol\r\n\r\n- an | 104 | media: air, ethanol and 1 mM KCl dissolved in ethanol\r\n\r\n- an | ||
105 | assortment of scanning electron micrographs depicting the ZIF8-coating | 105 | assortment of scanning electron micrographs depicting the ZIF8-coating | ||
106 | on the IDE structures as well as on the silicon and gold surfaces", | 106 | on the IDE structures as well as on the silicon and gold surfaces", | ||
107 | "num_resources": 0, | 107 | "num_resources": 0, | ||
108 | "num_tags": 3, | 108 | "num_tags": 3, | ||
109 | "orcid": "", | 109 | "orcid": "", | ||
110 | "organization": { | 110 | "organization": { | ||
111 | "approval_status": "approved", | 111 | "approval_status": "approved", | ||
112 | "created": "2023-01-12T13:30:23.238233", | 112 | "created": "2023-01-12T13:30:23.238233", | ||
113 | "description": "RADAR (Research Data Repository) is a | 113 | "description": "RADAR (Research Data Repository) is a | ||
114 | cross-disciplinary repository for archiving and publishing research | 114 | cross-disciplinary repository for archiving and publishing research | ||
115 | data from completed scientific studies and projects. The focus is on | 115 | data from completed scientific studies and projects. The focus is on | ||
116 | research data from subjects that do not yet have their own | 116 | research data from subjects that do not yet have their own | ||
117 | discipline-specific infrastructures for research data management. ", | 117 | discipline-specific infrastructures for research data management. ", | ||
118 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 118 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
119 | "image_url": "radar-logo.svg", | 119 | "image_url": "radar-logo.svg", | ||
120 | "is_organization": true, | 120 | "is_organization": true, | ||
121 | "name": "radar", | 121 | "name": "radar", | ||
122 | "state": "active", | 122 | "state": "active", | ||
123 | "title": "RADAR", | 123 | "title": "RADAR", | ||
124 | "type": "organization" | 124 | "type": "organization" | ||
125 | }, | 125 | }, | ||
126 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 126 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
127 | "private": false, | 127 | "private": false, | ||
128 | "production_year": "2022", | 128 | "production_year": "2022", | ||
129 | "publication_year": "2023", | 129 | "publication_year": "2023", | ||
130 | "publishers": [ | 130 | "publishers": [ | ||
131 | { | 131 | { | ||
132 | "publisher": "Karlsruhe Institute of Technology" | 132 | "publisher": "Karlsruhe Institute of Technology" | ||
133 | } | 133 | } | ||
134 | ], | 134 | ], | ||
135 | "relationships_as_object": [], | 135 | "relationships_as_object": [], | ||
136 | "relationships_as_subject": [], | 136 | "relationships_as_subject": [], | ||
137 | "repository_name": "RADAR (Research Data Repository)", | 137 | "repository_name": "RADAR (Research Data Repository)", | ||
138 | "resources": [], | 138 | "resources": [], | ||
139 | "services_used_list": "", | 139 | "services_used_list": "", | ||
140 | "source_metadata_created": "2023", | 140 | "source_metadata_created": "2023", | ||
141 | "source_metadata_modified": "", | 141 | "source_metadata_modified": "", | ||
142 | "state": "active", | 142 | "state": "active", | ||
143 | "subject_areas": [ | 143 | "subject_areas": [ | ||
144 | { | 144 | { | ||
145 | "subject_area_additional": "", | 145 | "subject_area_additional": "", | ||
146 | "subject_area_name": "Biology" | 146 | "subject_area_name": "Biology" | ||
147 | } | 147 | } | ||
148 | ], | 148 | ], | ||
149 | "tags": [ | 149 | "tags": [ | ||
150 | { | 150 | { | ||
151 | "display_name": "dielectric spectroscopy", | 151 | "display_name": "dielectric spectroscopy", | ||
152 | "id": "a48462fd-0346-4256-bc77-a8128bafd8b6", | 152 | "id": "a48462fd-0346-4256-bc77-a8128bafd8b6", | ||
153 | "name": "dielectric spectroscopy", | 153 | "name": "dielectric spectroscopy", | ||
154 | "state": "active", | 154 | "state": "active", | ||
155 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
156 | }, | 156 | }, | ||
157 | { | 157 | { | ||
158 | "display_name": "impedance spectroscopy", | 158 | "display_name": "impedance spectroscopy", | ||
159 | "id": "30a0dfaa-ad1c-4045-b6b8-811ef19c8b07", | 159 | "id": "30a0dfaa-ad1c-4045-b6b8-811ef19c8b07", | ||
160 | "name": "impedance spectroscopy", | 160 | "name": "impedance spectroscopy", | ||
161 | "state": "active", | 161 | "state": "active", | ||
162 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
163 | }, | 163 | }, | ||
164 | { | 164 | { | ||
165 | "display_name": "interdigitated electrode", | 165 | "display_name": "interdigitated electrode", | ||
166 | "id": "1dcd3339-5a46-4aca-a975-6379959bdd03", | 166 | "id": "1dcd3339-5a46-4aca-a975-6379959bdd03", | ||
167 | "name": "interdigitated electrode", | 167 | "name": "interdigitated electrode", | ||
168 | "state": "active", | 168 | "state": "active", | ||
169 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
170 | } | 170 | } | ||
171 | ], | 171 | ], | ||
172 | "title": "Supplementary research data for the thesis \"comprehensive | 172 | "title": "Supplementary research data for the thesis \"comprehensive | ||
173 | insights into the impedimetric characterization of dielectric thin | 173 | insights into the impedimetric characterization of dielectric thin | ||
174 | films\"", | 174 | films\"", | ||
175 | "type": "vdataset", | 175 | "type": "vdataset", | ||
176 | "url": "https://doi.org/10.35097/1356" | 176 | "url": "https://doi.org/10.35097/1356" | ||
177 | } | 177 | } |