cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14192471
title: Assessment of hearing screening programmes across 47 countries or regions I: provision of newborn hearing screening

description: Newborn hearing screening (NHS) varies regarding number and type of tests, location, age, professionals and funding. We compared the provision of existing screening programmes. A questionnaire containing nine domains: demography, administration, existing screening, coverage, tests, diagnosis, treatment, cost and adverse effects, was presented to hearing screening experts. Responses were verified. Clusters were identified based on number of screening steps and use of OAE or aABR, either for all infants or for well and high-risk infants (dual-protocol). Fifty-two experts completed the questionnaire sufficiently: 40 European countries, Russia, Malawi, Rwanda, India and China. It took considerable effort to find experts for all countries with sufficient time and knowledge. Data essential for evaluation are often not collected. Infants are first screened in maternity wards in most countries. Human development index and health expenditure were high among countries with dual protocols, three screening steps, including aABR, and low among countries without NHS and countries using OAE for all infants. Nationwide implementation of NHS took 6 years, on average. The extent and complexity of NHS programmes are primarily related to health expenditure and HDI. Data collection should be improved to facilitate comparison of NHS programmes across borders.
DOI: 10.6084/m9.figshare.14185243
title: Assessment of hearing screening programmes across 47 countries or regions II: coverage, referral, follow-up and detection rates from newborn hearing screening

description: To assess the performance of newborn hearing screening (NHS) programmes, through selected quality measures and their relationship to protocol design. NHS coverage, referral, follow-up and detection rates were aggregated. Referral rates were compared to age at screening step 1, number of steps, and test method: OAE or aABR. A questionnaire on existing hearing screening was completed by experts from countries in Europe, plus Russia, Malawi, Rwanda, India and China. Out of 47 countries or regions, NHS coverage rates were reported from 26, referral rates from 23, follow up from 12 and detection rates from 13. Median coverage rate for step 1 was 96%. Referral rate from step 1 was 6–22% where screening may be performed &lt;24 h from birth, 2–15% for &gt;24 h, and 4% for &gt;72 h. Referral rates to diagnostic assessment averaged 2.1% after one to two steps using OAE only, 1.7% after two steps including aABR, and 0.8% after three to four steps including aABR. Median detection rate for bilateral permanent hearing impairment ≥40dB was 1 per 1000 infants. Referral rates were related to age, test method and number of screening steps. Quality measures were not available for many NHS programmes.
DOI: 10.6084/m9.figshare.14192471.v1
title: Assessment of hearing screening programmes across 47 countries or regions I: provision of newborn hearing screening

description: Newborn hearing screening (NHS) varies regarding number and type of tests, location, age, professionals and funding. We compared the provision of existing screening programmes. A questionnaire containing nine domains: demography, administration, existing screening, coverage, tests, diagnosis, treatment, cost and adverse effects, was presented to hearing screening experts. Responses were verified. Clusters were identified based on number of screening steps and use of OAE or aABR, either for all infants or for well and high-risk infants (dual-protocol). Fifty-two experts completed the questionnaire sufficiently: 40 European countries, Russia, Malawi, Rwanda, India and China. It took considerable effort to find experts for all countries with sufficient time and knowledge. Data essential for evaluation are often not collected. Infants are first screened in maternity wards in most countries. Human development index and health expenditure were high among countries with dual protocols, three screening steps, including aABR, and low among countries without NHS and countries using OAE for all infants. Nationwide implementation of NHS took 6 years, on average. The extent and complexity of NHS programmes are primarily related to health expenditure and HDI. Data collection should be improved to facilitate comparison of NHS programmes across borders.
DOI: 10.5519/qd.32q60nz3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (542 records)
DOI: 10.34740/kaggle/dsv/2794992
title: AutoXGB
DOI: 10.5281/zenodo.5517420
title: Supplementary Files for Systematic Review

description: Supplementary Files for systematic review: Temperate Regenerative Agriculture; a win-win for soil carbon and crop yield?
DOI: 10.2905/0bd84be4-cec8-4180-97a6-8b3adaac4d26
title: EMO-5: A high-resolution multi-variable gridded meteorological data set for Europe (1990-2019)

description: We present EMO-5, a European high-resolution, (sub-)daily, multi-variable meteorological data set built on historical and real-time observations. EMO stands for "European Meteorological Observations", whereas the 5 denotes the spatial resolution of 5 km. EMO-5 includes at daily resolution: total precipitation, temperatures (mean, minimum and maximum), wind speed, solar radiation and water vapour pressure. In addition, EMO-5 also makes available 6-hourly precipitation and mean temperature. The raw observations from the ground weather stations underwent a set of quality controls, before SPHEREMAP and Yamamoto interpolation methods were applied in order to estimate for each 5x5 km grid cell the variable value and its affiliated uncertainty, respectively. EMO-5 (release 1) covers the time period from 1990 to 2019.
DOI: 10.5281/zenodo.5665465
title: SciExpeM - 10.5281/zenodo.5665465

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665464
title: SciExpeM - 10.5281/zenodo.5665465

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665469
title: SciExpeM - 10.5281/zenodo.5665469

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665468
title: SciExpeM - 10.5281/zenodo.5665469

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665473
title: SciExpeM - 10.5281/zenodo.5665473

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665472
title: SciExpeM - 10.5281/zenodo.5665473

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665479
title: SciExpeM - 10.5281/zenodo.5665479

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665478
title: SciExpeM - 10.5281/zenodo.5665479

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665487
title: SciExpeM - 10.5281/zenodo.5665487

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665486
title: SciExpeM - 10.5281/zenodo.5665487

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665491
title: SciExpeM - 10.5281/zenodo.5665491

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.5281/zenodo.5665490
title: SciExpeM - 10.5281/zenodo.5665491

description: Wang, Guoqing; Li, Yuyang; Yuan, Wenhao; Zhou, Zhenbiao; Wang, Yu; Wang, Zizhou - Combustion And Flame, 2017, (184), 312-323
DOI: 10.15468/rpbrvc
title: Contribution to the knowledge of Carabidae in Iran with the descriptions of five new taxa, proposing of four synonyms and providing of nine new records (Insecta: Coleoptera)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Muilwijk, Jan, Seiedy, Marjan, Wrase, David W. (2021): Contribution to the knowledge of Carabidae in Iran with the descriptions of five new taxa, proposing of four synonyms and providing of nine new records (Insecta: Coleoptera). Zootaxa 5067 (1): 55-81, DOI: https://doi.org/10.11646/zootaxa.5067.1.3
DOI: 10.5281/zenodo.5665507
title: Hybrid genome assemblies for 49 natural isolates of E.coli.

description: Hybrid genome assemblies for 49 natural isolates of <em>E.coli. </em> Assemblies were generated using Illumina and Oxford Nanopore long read data and each of the five assemblers, Canu, Flye, Raven, Redbean and Unicycler.
DOI: 10.5281/zenodo.5665506
title: Hybrid genome assemblies for 49 natural isolates of E.coli.

description: Hybrid genome assemblies for 49 natural isolates of <em>E.coli. </em> Assemblies were generated using Illumina and Oxford Nanopore long read data and each of the five assemblers, Canu, Flye, Raven, Redbean and Unicycler.
DOI: 10.5281/zenodo.5638382
title: Ergebnisse der Umfrage zum Publikationsverhalten von Wissenschaftler*innen an außeruniversitären Forschungseinrichtungen

description: Das Daten-Set enthält die Ergebnisse einer Umfrage zum Publikationsverhalten von Forschenden der außeruniversitären Forschungseinrichtungen. Die Umfrage fand vom 01.06.2021 bis 12.07.2021 als Online-Umfrage statt. Die Ergebnisse werden in der Masterarbeit "<strong>Handlungsperspektiven für Informationsdienstleistungen zum wissenschaftlichen Publizieren an außeruniversitären Forschungseinrichtungen"</strong> Anwendung finden.
DOI: 10.5281/zenodo.5638380
title: Ergebnisse der Umfrage zum Publikationsverhalten von Wissenschaftler*innen an außeruniversitären Forschungseinrichtungen

description: Das Daten-Set enthält die Ergebnisse einer Umfrage zum Publikationsverhalten von Forschenden der außeruniversitären Forschungseinrichtungen. Die Umfrage fand vom 01.06.2021 bis 12.07.2021 als Online-Umfrage statt. Die Ergebnisse werden in der Masterarbeit "<strong>Handlungsperspektiven für Informationsdienstleistungen zum wissenschaftlichen Publizieren an außeruniversitären Forschungseinrichtungen"</strong> Anwendung finden.
DOI: 10.15151/esrf-es-598637801
title: Structural studies on the extracellular assembly of the human leptin signalling complex.

description: The adipocyte-derived hormone leptin is crucial for regulating body weight and energy homeostasis. The primary target cells for leptin are neurons in the arcuate nucleus of the hypothalamus. Under normal physiological conditions leptin signaling acts as a molecular feedback mechanism that reduces appetite and stimulates energy expenditure. In conditions of leptin resistance, a decreased sensitivity to leptin signaling results in the inability to sense satiety which leads to the development of obesity. Despite decades of research on leptin and its receptor (LepR) as key regulators of body weight and homeostasis, the mechanism for the assembly of the leptin signaling complex is poorly understood at the molecular level. Building on recently acquired structural and mechanistic insights we produced a stabilized version of the extracellular assembly of the human leptin complex suitable for high-resolution cryoEM imaging.
DOI: 10.5519/qd.2dsaaa17
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (186 records)
DOI: 10.5281/zenodo.5665319
title: Reference Data for "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane"

description: Reference data set for the single molecule co-tracking analysis presented in "Four-color single-molecule imaging with engineered tags resolves the molecular architecture of signaling complexes in the plasma membrane". Corresponding author for further inquiries: Prof. Dr. Jacob Piehler University of Osnabrück, Department of Biology/Chemistry, Division of Biophysics, Barbarastr. 11, 49076 Osnabrück, Germany https://www.biophysik.uni-osnabrueck.de/
DOI: 10.6084/m9.figshare.16945086
title: Phylogenetic files from Diverse stem-chondrichthyan oral structures and evidence for an independently acquired acanthodid dentition

description: Zipped folder containing all files necessary for replicating our Bayesian and parsimony analyses.
DOI: 10.6084/m9.figshare.16945086.v1
title: Phylogenetic files from Diverse stem-chondrichthyan oral structures and evidence for an independently acquired acanthodid dentition

description: Zipped folder containing all files necessary for replicating our Bayesian and parsimony analyses.
DOI: 10.6084/m9.figshare.16972171
title: RandomCoCo.txt

description: Input file comprising of randomly selected compound and complex sentences for simplification.
DOI: 10.6084/m9.figshare.16972171.v1
title: RandomCoCo.txt

description: Input file comprising of randomly selected compound and complex sentences for simplification.
DOI: 10.6084/m9.figshare.16973044
title: Supplementary Material for: Retrograde Pyelography in the Presence of Urothelial Bladder Cancer Does Not Affect the Risk of Upper Tract Urothelial Cancer: A Retrospective Analysis of a Single-Centre Cohort

description: <b><i>Objective:</i></b> Patients with bladder cancer (BC) are at risk of developing upper tract urothelial carcinoma (UTUC). Therefore, CT urography is recommended for follow-up. To avoid intravenous contrast agents, retrograde pyelography (RPG) is an alternative. However, it is still unclear whether RPG increases the incidence of UTUC. The aim of this study was to investigate the impact of RPG in the presence of BC on the risk of developing UTUC. <b><i>Patients and Methods:</i></b> Retrospectively analysing a total of 3,680 RPGs between 2009 and 2016, all patients with simultaneous BC (group 1) and those without synchronous BC (group 2) during RPG were compared. All patients were risk stratified according to the EORTC bladder calculator. In patients without BC during RPG, risk stratification was based on the worst prior tumour characteristics. <b><i>Results:</i></b> A total of 145 patients with a history of BC were analysed. Of these, 112 patients underwent RPG with simultaneous BC. UTUC developed in 6 of 112 patients (5.4%) and 58.9% (66/112) had high-risk BC according to the EORTC bladder calculator. In the control group, one out of 33 (3%) patients with metachronous high-risk BC developed UTUC. <b><i>Conclusions:</i></b> Using RPG in the presence of BC did not increase the risk of UTUC. Due to the predominant number of high-risk/high-grade tumours, individual tumour biology appears to be the primary driver for the development of UTUC.
DOI: 10.12763/smdgr1/7r7ppv
title: cal_dsa1000_2_0_003.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/nvcpvi
title: cal_dsa1000_2_1_002.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/jr0l03
title: cal_dsa1000_2_1_003.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/hzgocg
title: cal_xia00_0000.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/oo4p7k
title: cal_xia01_0000.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/4x7yea
title: cal_XIA_2_xia00_0000.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/lubl7w
title: cal_XIA_2_xia00_0001.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/ozdtzq
title: cal_XIA_2_xia01_0000.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/5znl2t
title: cal_XIA_2_xia01_0001.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/auxmfo
title: data_0_001.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/h6b0mf
title: data_0_002.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/z6t5ej
title: data_1_001.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/zzzbnu
title: data_1_002.mca

description: mca datafile calibration Ba Source Detector 0
DOI: 10.12763/smdgr1/lujg0h
title: TiC_0_003.mca

description: mca datafile Calibrant TiC powder Detector_0
DOI: 10.12763/smdgr1/urgyos
title: TiC_0_004.mca

description: mca datafile Calibrant TiC powder Detector_0
DOI: 10.12763/smdgr1/zckxdn
title: TiC_1_003.mca

description: mca datafile Calibrant TiC powder Detector_1
DOI: 10.12763/smdgr1/k03cqw
title: TiC_1_004.mca

description: mca datafile Calibrant TiC powder Detector_1
DOI: 10.12763/smdgr1/7cbwga
title: TiC1_0_001.mca

description: mca datafile Calibrant TiC powder Detector_0
DOI: 10.12763/smdgr1/5ilcrl
title: TiC1_1_001.mca

description: mca datafile Calibrant TiC powder Detector_1
DOI: 10.12763/smdgr1/dxx2mz
title: TiC2_0_002.mca

description: mca datafile Calibrant TiC powder Detector_0
DOI: 10.12763/smdgr1/wcrzll
title: TiC2_0_003.mca

description: mca datafile Calibrant TiC powder Detector_0
DOI: 10.12763/smdgr1/t62fgd
title: TiC2_0_004.mca

description: mca datafile Calibrant TiC powder Detector_0
DOI: 10.12763/smdgr1/jqqxpi
title: TiC2_1_001.mca

description: mca datafile Calibrant TiC powder Detector_0
DOI: 10.12763/smdgr1/ov91af
title: TiC2_1_002.mca

description: mca datafile Calibrant TiC powder Detector_1
DOI: 10.12763/smdgr1/pqeydn
title: TiC2_1_003.mca

description: mca datafile Calibrant TiC powder Detector_1
DOI: 10.12763/smdgr1/hzp0zj
title: TiC2_1_004.mca

description: mca datafile Calibrant TiC powder Detector_1
DOI: 10.12763/smdgr1/gf95tb
title: fer10_0_002.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/i2e92r
title: fer10_0_003.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/axspne
title: fer10_0_004.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/eobsez
title: fer10_0_005.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/smp8gu
title: fer10_0_006.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/htsoeh
title: fer10_0_007.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/najxow
title: fer10_0_008.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/lbcq6d
title: fer10_0_009.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/k9t7wg
title: fer10_0_010.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/i9fiey
title: fer10_0_011.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/tkpcib
title: fer10_0_012.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/gqqa1g
title: fer10_0_013.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/uzdff3
title: fer10_0_014.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/ovumw1
title: fer10_0_015.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/ih3mfa
title: fer10_0_016.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/5xbsgv
title: fer10_0_017.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/q9pwtf
title: fer10_0_018.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/b2d8im
title: fer10_0_020.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/ohm4sa
title: fer10_0_021.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/ckzxjm
title: fer10_0_022.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/rqxsmr
title: fer10_0_023.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/9sbpvb
title: fer10_0_024.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/uhc5mh
title: fer10_0_025.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/v66537
title: fer10_0_026.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/akjdcw
title: fer10_0_027.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/jxkx3s
title: fer10_0_028.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/o9ceaw
title: fer10_0_029.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/3s10ii
title: fer10_0_030.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/9jomrx
title: fer10_0_031.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/sko8ur
title: fer10_0_032.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/pwltrz
title: fer10_0_033.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/ghvnny
title: fer10_0_034.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/cdk6af
title: fer10_0_035.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/psrk48
title: fer10_0_036.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/iojqyd
title: fer10_0_038.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/4c3lar
title: fer10_0_039.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/hpx65t
title: fer10_0_040.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/kis43i
title: fer10_0_041.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/xmodf3
title: fer10_0_042.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/pdxlwo
title: fer10_0_043.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/aacmtd
title: fer10_0_044.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/wxm0dk
title: fer10_0_045.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/qdp2oq
title: fer10_0_046.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.15129/d2eaa892-20e9-4e60-9f4c-7169a245a449
title: Data for: "Correlation between deep-level defects and functional properties of β-(SnxGa1-x)2O3 on Si photodetectors"

description: The dataset contains CL hyperspectral imaging data, XRD, I-V curves, photocurrent as a function of time for Tin-gallium-oxide photodetectors.
DOI: 10.12763/smdgr1/f7jjxb
title: fer10_0_047.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/cjpwpb
title: fer10_0_048.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/f9mob9
title: fer10_0_049.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/w3oiqc
title: fer10_0_050.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/pzjp51
title: fer10_0_051.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/deptv0
title: fer10_0_052.mca

description: mca datafile base_Fe Iron sample 10 Detector 0
DOI: 10.12763/smdgr1/4om4ah
title: fer10_1_002.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.12763/smdgr1/jnwkvg
title: fer10_1_003.mca

description: mca datafile base_Fe Iron sample 10 Detector_1
DOI: 10.12763/smdgr1/dn0ntr
title: fer10_1_005.mca

description: mca datafile base_Fe Iron sample 10 Detector_1