cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58060/826d-3957
title: EVA project # 177 – 2023-03-03 The interrelationship between below- and aboveground biodiversity – L. Jungandreas
title: SELECTION 2023-04-13

description: Final approved selection from European Vegetation Archive (EVA, incl. ReSurveyEurope) database for this EVA project specified with selection date. The EVA data are available on request using procedure described at How to obtain data (https://euroveg.org/eva-database/obtaining-data).
DOI: 10.58060/p23q-xc68
title: EVA project # 176 – 2023-03-02 Biodiversity assessments of wetlands using Bioscore3.0 – O. Sumbh
title: SELECTION 2023-04-05

description: Final approved selection from European Vegetation Archive (EVA, incl. ReSurveyEurope) database for this EVA project specified with selection date. The EVA data are available on request using procedure described at How to obtain data (https://euroveg.org/eva-database/obtaining-data).
DOI: 10.58060/24et-xc67
title: EVA project # 183 – 2023-04-11 WET Horizons & ALFAWetlands – A. Barthelmes
title: SELECTION 2023-06-22

description: Final approved selection from European Vegetation Archive (EVA, incl. ReSurveyEurope) database for this EVA project specified with selection date. The EVA data are available on request using procedure described at How to obtain data (https://euroveg.org/eva-database/obtaining-data).
DOI: 10.6084/m9.figshare.23815191
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.6084/m9.figshare.23815191.v1
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.6084/m9.figshare.23815230
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.6084/m9.figshare.23815230.v1
title: Supplementary Material for: Application of the cytokinesis-block micronucleus assay for high dose exposures using imaging flow cytometry

description: The cytokinesis-block micronucleus (CBMN) assay is a well-established method to assess radiation-induced genetic damage in human cells. This assay has been adapted to imaging flow cytometry (IFC), allowing automated analysis of many cells, and eliminating the need to create microscope slides. Furthermore, to improve the efficiency of assay performance, a small-volume method previously developed was employed. Irradiated human blood samples were cultured, stained, and analysed by IFC to produce images of the cells. Samples were run using both manual and 96-well plate automated acquisition. Multiple parameter-based image features were collected for each sample and the results were compared to confirm that these acquisition methods are functionally identical. This paper details the multi-parametric analysis developed, and the resulting calibration curves up to 10 Gy. The calibration curves were created using a quadratic random coefficient model with Poisson errors, as well as a logistic discriminant function. The curves were then validated with blinded, irradiated samples, using relative bias and relative mean square error. Overall, the accuracy of the dose estimates was adequate for triage dosimetry (within 1 Gy of the true dose) over 90% of the time for lower doses and about half the time for higher doses, with the lowest success rate between 5 and 6 Gy where the calibration curve reached its peak and there was the smallest change in MN/BNC with dose. This work describes the application of novel multi-parametric analysis that fits the calibration curves and allows dose estimates up to 10 Gy, which were previously limited to 4 Gy. Furthermore, it demonstrates that the results from samples acquired manually and with the autosampler are functionally similar.
DOI: 10.18712/nsd-nsd3126-v2
title: Bringing in the state: The politics of wage regulation and low-wage employment (WAGEREG)

description: This project analyses the policies that states use to deal with low-wage employment. In particular, it seeks to explain why states differ in the tools they use to address low-wage employment. Working for very low wages has become more common in many developed countries. States have various tools to address this situation. They can introduce minimum wages by law, they can pay public benefits to top up low wages, or they can try to strengthen the collective bargaining between trade unions and employers. This project will compare to what extent developed countries use these tools. It will then seek to explain that variation using quantitative and qualitative methods. At the same time, the project develops a new, general understanding of how states influence wage setting and the wage distribution.
DOI: 10.5281/zenodo.8204192
title: Impression Packer Data from STIMTEC and STIMTEC-X

description: Foils and orientation information from impression packer testing performed in the projects STIMTEC and STIMTEC-X in various boreholes located in Reiche Zeche (Freiberg, Germany)
DOI: 10.5281/zenodo.8204191
title: Impression Packer Data from STIMTEC and STIMTEC-X

description: Foils and orientation information from impression packer testing performed in the projects STIMTEC and STIMTEC-X in various boreholes located in Reiche Zeche (Freiberg, Germany)
DOI: 10.17632/hkjt4bfgxz.1
title: Investigating the Real-World Experience of Enhancing Occipital Hair Diameter Index in Male Androgenetic Alopecia

description: Androgenetic Alopecia (AGA) is a condition that causes gradual hair thinning and baldness in certain areas of the scalp. Male Pattern Hair Loss (MPHL) affects the frontotemporal and vertex regions, while Female Pattern Hair Loss (FPHL) presents as diffuse thinning of the central scalp with a preserved hairline. Historically, the occipital region was considered an unaffected area of AGA, leading to little research on the efficacy of alopecia medication in this area. 1 However, recent studies have shown that both MPHL and FPHL can cause changes in the occipital hair and contribute to AGA, highlighting the importance of investigating the effects of drugs like finasteride on the occipital region.This study aimed to fill the gap in real-world scenarios by retrospectively reviewing patients treated with finasteride at our clinic for 6 months or longer. We evaluated the changes in occipital hair thickness and measured various hair parameters under digital trichoscope of MPHL and FPHL patients before and after treatment. Using the Hair Diameter Index to estimate visual hair density range, we were able to quantify the changes observed. The favorable outcome regarding the use of finasteride may provide citable evidence for medication prior to hair transplant surgery.
DOI: 10.17632/hkjt4bfgxz.2
title: Investigating the Real-World Experience of Enhancing Occipital Hair Diameter Index in Male Androgenetic Alopecia

description: Androgenetic Alopecia (AGA) is a condition that causes gradual hair thinning and baldness in certain areas of the scalp. Male Pattern Hair Loss (MPHL) affects the frontotemporal and vertex regions, while Female Pattern Hair Loss (FPHL) presents as diffuse thinning of the central scalp with a preserved hairline. Historically, the occipital region was considered an unaffected area of AGA, leading to little research on the efficacy of alopecia medication in this area. 1 However, recent studies have shown that both MPHL and FPHL can cause changes in the occipital hair and contribute to AGA, highlighting the importance of investigating the effects of drugs like finasteride on the occipital region.This study aimed to fill the gap in real-world scenarios by retrospectively reviewing patients treated with finasteride at our clinic for 6 months or longer. We evaluated the changes in occipital hair thickness and measured various hair parameters under digital trichoscope of MPHL and FPHL patients before and after treatment. Using the Hair Diameter Index to estimate visual hair density range, we were able to quantify the changes observed. The favorable outcome regarding the use of finasteride may provide citable evidence for medication prior to hair transplant surgery.
DOI: 10.17632/hkjt4bfgxz.3
title: Investigation of Oral Finasteride Enhanced Occipital Hair Diameter Index in Different Types of Male Androgenetic Alopecia

description: Androgenetic Alopecia (AGA) is a condition that causes gradual hair thinning and baldness in certain areas of the scalp. Male Pattern Hair Loss (MPHL) affects the frontotemporal and vertex regions, while Female Pattern Hair Loss (FPHL) presents as diffuse thinning of the central scalp with a preserved hairline. Historically, the occipital region was considered an unaffected area of AGA, leading to little research on the efficacy of alopecia medication in this area. 1 However, recent studies have shown that both MPHL and FPHL can cause changes in the occipital hair and contribute to AGA, highlighting the importance of investigating the effects of drugs like finasteride on the occipital region.This study aimed to fill the gap in real-world scenarios by retrospectively reviewing patients treated with finasteride at our clinic for 6 months or longer. We evaluated the changes in occipital hair thickness and measured various hair parameters under digital trichoscope of MPHL and FPHL patients before and after treatment. Using the Hair Diameter Index to estimate visual hair density range, we were able to quantify the changes observed. The favorable outcome regarding the use of finasteride may provide citable evidence for medication prior to hair transplant surgery.
DOI: 10.6084/m9.figshare.23788503
title: Effects of white matter hyperintensities on isolated executive function assessed by the Trail Making Test; Underlying data

description: Background: White matter hyperintensities (WMHs) on MRI are associated with cognitive dysfunction, particularly slow processing speed and executive dysfunction. However, it is not clear whether WMHs burden affects isolated executive function independent of aging when WMHs are assessed separately in periventricular hyperintensity (PVH) and deep and subcortical white matter hyperintensity (DSWMH). Purpose: To assess the relationship between the degree of WMHs and the performance on the Trail Making Test (TMT), which can evaluate isolated ability of set-shifting and working memory. Methods: 74 participants who visited our memory clinic and underwent the TMT subtests (TMT-A and TMT-B) and the Mini-Mental State Examination (MMSE). All subjects performed the TMT within the time limits and their MMSE scores were 24 or higher, and they were diagnosed as having normal cognition or mild cognitive impairment. The extent of PVH and DSWMH was graded from 0 to 3 using the Fazekas scale. We obtained testing time to complete the TMT-A and TMT-B, and calculated TMT-B minus TMT-A. We performed correlation analyses between the degree of WMHs and the time measures of the TMT subtests with adjustment of age. Results: Average scores of the MMSE were not different among the groups either by PVH grade or by DSWMH grade. In contrast, average time required for the TMT-A, TMT-B, and TMT-B minus TMT-A increased along with exacerbation of PVH and DSWMH grade. After the adjustment of age we found significant association between only DSWMH grade and the time difference of TMT-B minus TMT-A. Conclusions: Exacerbation of PVH and DSWMH differentially affected isolated executive functions assessed by the TMT subtests independent of age and general cognitive function.
DOI: 10.6084/m9.figshare.23788503.v3
title: Effects of white matter hyperintensities on isolated executive function assessed by the Trail Making Test; Underlying data

description: Background: White matter hyperintensities (WMHs) on MRI are associated with cognitive dysfunction, particularly slow processing speed and executive dysfunction. However, it is not clear whether WMHs burden affects isolated executive function independent of aging when WMHs are assessed separately in periventricular hyperintensity (PVH) and deep and subcortical white matter hyperintensity (DSWMH). Purpose: To assess the relationship between the degree of WMHs and the performance on the Trail Making Test (TMT), which can evaluate isolated ability of set-shifting and working memory. Methods: 74 participants who visited our memory clinic and underwent the TMT subtests (TMT-A and TMT-B) and the Mini-Mental State Examination (MMSE). All subjects performed the TMT within the time limits and their MMSE scores were 24 or higher, and they were diagnosed as having normal cognition or mild cognitive impairment. The extent of PVH and DSWMH was graded from 0 to 3 using the Fazekas scale. We obtained testing time to complete the TMT-A and TMT-B, and calculated TMT-B minus TMT-A. We performed correlation analyses between the degree of WMHs and the time measures of the TMT subtests with adjustment of age. Results: Average scores of the MMSE were not different among the groups either by PVH grade or by DSWMH grade. In contrast, average time required for the TMT-A, TMT-B, and TMT-B minus TMT-A increased along with exacerbation of PVH and DSWMH grade. After the adjustment of age we found significant association between only DSWMH grade and the time difference of TMT-B minus TMT-A. Conclusions: Exacerbation of PVH and DSWMH differentially affected isolated executive functions assessed by the TMT subtests independent of age and general cognitive function.
DOI: 10.6084/m9.figshare.23788503.v2
title: Effects of white matter hyperintensities on isolated executive function assessed by the Trail Making Test; Underlying data

description: Background: White matter hyperintensities (WMHs) on MRI are associated with cognitive dysfunction, particularly slow processing speed and executive dysfunction. However, it is not clear whether WMHs burden affects isolated executive function independent of aging when WMHs are assessed separately in periventricular hyperintensity (PVH) and deep and subcortical white matter hyperintensity (DSWMH). Purpose: To assess the relationship between the degree of WMHs and the performance on the Trail Making Test (TMT), which can evaluate isolated ability of set-shifting and working memory. Methods: 74 participants who visited our memory clinic and underwent the TMT subtests (TMT-A and TMT-B) and the Mini-Mental State Examination (MMSE). All subjects performed the TMT within the time limits and their MMSE scores were 24 or higher, and they were diagnosed as having normal cognition or mild cognitive impairment. The extent of PVH and DSWMH was graded from 0 to 3 using the Fazekas scale. We obtained testing time to complete the TMT-A and TMT-B, and calculated TMT-B minus TMT-A. We performed correlation analyses between the degree of WMHs and the time measures of the TMT subtests with adjustment of age. Results: Average scores of the MMSE were not different among the groups either by PVH grade or by DSWMH grade. In contrast, average time required for the TMT-A, TMT-B, and TMT-B minus TMT-A increased along with exacerbation of PVH and DSWMH grade. After the adjustment of age we found significant association between only DSWMH grade and the time difference of TMT-B minus TMT-A. Conclusions: Exacerbation of PVH and DSWMH differentially affected isolated executive functions assessed by the TMT subtests independent of age and general cognitive function.
DOI: 10.26050/wdcc/ar6.c6cmarte
title: IPCC DDC: AS-RCEC TaiESM1.0 model output prepared for CMIP6 CMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.AS-RCEC.TaiESM1' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Taiwan Earth System Model 1.0 climate model, released in 2018, includes the following components: aerosol: SNAP (same grid as atmos), atmos: TaiAM1 (0.9x1.25 degree; 288 x 192 longitude/latitude; 30 levels; top level ~2 hPa), atmosChem: SNAP (same grid as atmos), land: CLM4.0 (same grid as atmos), ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4. The model was run by the Research Center for Environmental Changes, Academia Sinica, Nankang, Taipei 11529, Taiwan (AS-RCEC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 100 km, seaIce: 50 km. Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated.