cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/60bea990-b1a6-40c7-9355-584e061791d5
title: Microscopy raw and processed data to measure cell size, cell death and multi-nucleated ratio in yeast cells.

description: The data contains the raw data folder and a processed folder. The raw data is divided into Bright Field experiments and DAPI. The BrightField Microscopy images were taken on the strains bem1::KanMx pGal-Cdc42-sfGFP,bem1bem3::CloNAT pGal-Cdc42-sfGFP,pGal-Cdc42-sfGFP, and WT. The goal was to measure the cell sizes as a proxy of the polarization state for those strains in specific galactose concentrations taken by the population growth results.  We use three galactose concentrations : 0%, 0.06%, and 0.1%. %=w/vThe processed folder contains an Excel file with three sheets: cell radii ratio, cell death radio,, and multinucleated cells ratio with the post-processed relevant variables from the raw data. All microscopy was performed with a Nikon Eclipse Ti-E inverted microscope with an oil immersion 60x objective,1.40 of numerical aperture, and a refractive index of 1.51. The software used for data collection was Nis-Elements Ar (https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research) version 4.51.<br>Cells that do not polarize are predicted to have nuclear divisions but no cellular division, and therefore, we hypothesize that cells with polarization defects are more likely to be multinucleate. We measured the percentage of multinucleated cells for the different genetic backgrounds and galactose concentrations using DAPI staining combined with fluorescence microscopy. The DAPI staining protocol was taken from doi: dx.doi.org/10.17504/protocols.io.eigbcbw. Samples were imaged in a cover slip right after the DAPI staining. We used a Nikon Eclipse Ti-E inverted microscope with an oil immersion 60x objective and 1.40 numerical aperture. Its refractive index is 1.51. We imaged in two channels, namely, Brightfield and DAPI Fluorescence. The emission wavelength was 450 nm, and the excitation wavelength was 395 nm. The exposure time was 70ms, and the laser power was 1\%. The software used for data collection was Nis-Elements Ar (https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research) version 4.51. Data analysis was performed with Cell Counter[https://imagej.nih.gov/ij/plugins/cell-counter.html ] plugin from ImageJ, version 1.53t, which requires Java 1.8.0_172(64-bit). Each cell was labeled to count the total number of cells in each frame. Further, each cell with two or more nuclei and the dead cells were differently labeled.
DOI: 10.4121/60bea990-b1a6-40c7-9355-584e061791d5.v1
title: Microscopy raw and processed data to measure cell size, cell death and multi-nucleated ratio in yeast cells.

description: The data contains the raw data folder and a processed folder. The raw data is divided into Bright Field experiments and DAPI. The BrightField Microscopy images were taken on the strains bem1::KanMx pGal-Cdc42-sfGFP,bem1bem3::CloNAT pGal-Cdc42-sfGFP,pGal-Cdc42-sfGFP, and WT. The goal was to measure the cell sizes as a proxy of the polarization state for those strains in specific galactose concentrations taken by the population growth results. We use three galactose concentrations : 0%, 0.06%, and 0.1%. %=w/vThe processed folder contains an Excel file with three sheets: cell radii ratio, cell death radio,, and multinucleated cells ratio with the post-processed relevant variables from the raw data. All microscopy was performed with a Nikon Eclipse Ti-E inverted microscope with an oil immersion 60x objective,1.40 of numerical aperture, and a refractive index of 1.51. The software used for data collection was Nis-Elements Ar (https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research) version 4.51.<br>Cells that do not polarize are predicted to have nuclear divisions but no cellular division, and therefore, we hypothesize that cells with polarization defects are more likely to be multinucleate. We measured the percentage of multinucleated cells for the different genetic backgrounds and galactose concentrations using DAPI staining combined with fluorescence microscopy. The DAPI staining protocol was taken from doi: dx.doi.org/10.17504/protocols.io.eigbcbw. Samples were imaged in a cover slip right after the DAPI staining. We used a Nikon Eclipse Ti-E inverted microscope with an oil immersion 60x objective and 1.40 numerical aperture. Its refractive index is 1.51. We imaged in two channels, namely, Brightfield and DAPI Fluorescence. The emission wavelength was 450 nm, and the excitation wavelength was 395 nm. The exposure time was 70ms, and the laser power was 1\%. The software used for data collection was Nis-Elements Ar (https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research) version 4.51. Data analysis was performed with Cell Counter[https://imagej.nih.gov/ij/plugins/cell-counter.html ] plugin from ImageJ, version 1.53t, which requires Java 1.8.0_172(64-bit). Each cell was labeled to count the total number of cells in each frame. Further, each cell with two or more nuclei and the dead cells were differently labeled.
DOI: 10.4121/60bea990-b1a6-40c7-9355-584e061791d5.v2
title: Microscopy raw and processed data to measure cell size, cell death and multi-nucleated ratio in yeast cells.

description: The data contains the raw data folder and a processed folder. The raw data is divided into Bright Field experiments and DAPI. The BrightField Microscopy images were taken on the strains bem1::KanMx pGal-Cdc42-sfGFP,bem1bem3::CloNAT pGal-Cdc42-sfGFP,pGal-Cdc42-sfGFP, and WT. The goal was to measure the cell sizes as a proxy of the polarization state for those strains in specific galactose concentrations taken by the population growth results. We use three galactose concentrations : 0%, 0.06%, and 0.1%. %=w/vThe processed folder contains an Excel file with three sheets: cell radii ratio, cell death radio,, and multinucleated cells ratio with the post-processed relevant variables from the raw data. All microscopy was performed with a Nikon Eclipse Ti-E inverted microscope with an oil immersion 60x objective,1.40 of numerical aperture, and a refractive index of 1.51. The software used for data collection was Nis-Elements Ar (https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research) version 4.51.<br>Cells that do not polarize are predicted to have nuclear divisions but no cellular division, and therefore, we hypothesize that cells with polarization defects are more likely to be multinucleate. We measured the percentage of multinucleated cells for the different genetic backgrounds and galactose concentrations using DAPI staining combined with fluorescence microscopy. The DAPI staining protocol was taken from doi: dx.doi.org/10.17504/protocols.io.eigbcbw. Samples were imaged in a cover slip right after the DAPI staining. We used a Nikon Eclipse Ti-E inverted microscope with an oil immersion 60x objective and 1.40 numerical aperture. Its refractive index is 1.51. We imaged in two channels, namely, Brightfield and DAPI Fluorescence. The emission wavelength was 450 nm, and the excitation wavelength was 395 nm. The exposure time was 70ms, and the laser power was 1\%. The software used for data collection was Nis-Elements Ar (https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research) version 4.51. Data analysis was performed with Cell Counter[https://imagej.nih.gov/ij/plugins/cell-counter.html ] plugin from ImageJ, version 1.53t, which requires Java 1.8.0_172(64-bit). Each cell was labeled to count the total number of cells in each frame. Further, each cell with two or more nuclei and the dead cells were differently labeled.
DOI: 10.4121/60bea990-b1a6-40c7-9355-584e061791d5.v3
title: Microscopy raw and processed data to measure cell size, cell death and multi-nucleated ratio in yeast cells.

description: The data contains the raw data folder and a processed folder. The raw data is divided into Bright Field experiments and DAPI. The BrightField Microscopy images were taken on the strains bem1::KanMx pGal-Cdc42-sfGFP,bem1bem3::CloNAT pGal-Cdc42-sfGFP,pGal-Cdc42-sfGFP, and WT. The goal was to measure the cell sizes as a proxy of the polarization state for those strains in specific galactose concentrations taken by the population growth results.  We use three galactose concentrations : 0%, 0.06%, and 0.1%. %=w/vThe processed folder contains an Excel file with three sheets: cell radii ratio, cell death radio,, and multinucleated cells ratio with the post-processed relevant variables from the raw data. All microscopy was performed with a Nikon Eclipse Ti-E inverted microscope with an oil immersion 60x objective,1.40 of numerical aperture, and a refractive index of 1.51. The software used for data collection was Nis-Elements Ar (https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research) version 4.51.<br>Cells that do not polarize are predicted to have nuclear divisions but no cellular division, and therefore, we hypothesize that cells with polarization defects are more likely to be multinucleate. We measured the percentage of multinucleated cells for the different genetic backgrounds and galactose concentrations using DAPI staining combined with fluorescence microscopy. The DAPI staining protocol was taken from doi: dx.doi.org/10.17504/protocols.io.eigbcbw. Samples were imaged in a cover slip right after the DAPI staining. We used a Nikon Eclipse Ti-E inverted microscope with an oil immersion 60x objective and 1.40 numerical aperture. Its refractive index is 1.51. We imaged in two channels, namely, Brightfield and DAPI Fluorescence. The emission wavelength was 450 nm, and the excitation wavelength was 395 nm. The exposure time was 70ms, and the laser power was 1\%. The software used for data collection was Nis-Elements Ar (https://www.microscope.healthcare.nikon.com/products/software/nis-elements/nis-elements-advanced-research) version 4.51. Data analysis was performed with Cell Counter[https://imagej.nih.gov/ij/plugins/cell-counter.html ] plugin from ImageJ, version 1.53t, which requires Java 1.8.0_172(64-bit). Each cell was labeled to count the total number of cells in each frame. Further, each cell with two or more nuclei and the dead cells were differently labeled.
DOI: 10.4121/67e56fe8-6b54-446b-aaac-cd2e245ee066
title: Population growth rate data and scripts concerning the publication:"Redundancy and the role of protein copy numbers in the cell polarization machinery of budding yeast"experiments

description: The data entails raw and processed data from population growth rates experiments using different yeast mutants. Moreover, it contains the required scripts to processthe data and reproduce Fig3 and Supplemental Figures 4 and 5 from the paper "Redundancy and the role of protein copy numbers in the cell polarization machinery of budding yeast" published in Nature Communications.The experiments investigated the role of Cdc42 copy number in the polarization efficiency of different relevant mutants containing knockout mutations in Bem1 and Bem3 genes. The Cdc42 copy number was controlled using a galactose promoter.Initially the growth measurements were taken using a sfGFP tag fussed in Cdc42 (data shown in Fig3). Therefore, we did control experiments, shown in the Supplemental material, to check that the sfGFP tag was not influencing the results we observed previously (Supp Fig 4 and Supp Fig 5).<br><br><br>
DOI: 10.4121/67e56fe8-6b54-446b-aaac-cd2e245ee066.v1
title: Population growth rate data and scripts concerning the publication:"Redundancy and the role of protein copy numbers in the cell polarization machinery of budding yeast"experiments

description: The data entails raw and processed data from population growth rates experiments using different yeast mutants. Moreover, it contains the required scripts to processthe data and reproduce Fig3 and Supplemental Figures 4 and 5 from the paper "Redundancy and the role of protein copy numbers in the cell polarization machinery of budding yeast" published in Nature Communications.The experiments investigated the role of Cdc42 copy number in the polarization efficiency of different relevant mutants containing knockout mutations in Bem1 and Bem3 genes. The Cdc42 copy number was controlled using a galactose promoter.Initially the growth measurements were taken using a sfGFP tag fussed in Cdc42 (data shown in Fig3). Therefore, we did control experiments, shown in the Supplemental material, to check that the sfGFP tag was not influencing the results we observed previously (Supp Fig 4 and Supp Fig 5).<br><br><br>
DOI: 10.4121/67e56fe8-6b54-446b-aaac-cd2e245ee066.v2
title: Population growth rate data and scripts concerning the publication:"Redundancy and the role of protein copy numbers in the cell polarization machinery of budding yeast"experiments

description: The data entails raw and processed data from population growth rates experiments using different yeast mutants. Moreover, it contains the required scripts to processthe data and reproduce Fig3 and Supplemental Figures 4 and 5 from the paper "Redundancy and the role of protein copy numbers in the cell polarization machinery of budding yeast" published in Nature Communications.The experiments investigated the role of Cdc42 copy number in the polarization efficiency of different relevant mutants containing knockout mutations in Bem1 and Bem3 genes. The Cdc42 copy number was controlled using a galactose promoter.Initially the growth measurements were taken using a sfGFP tag fussed in Cdc42 (data shown in Fig3). Therefore, we did control experiments, shown in the Supplemental material, to check that the sfGFP tag was not influencing the results we observed previously (Supp Fig 4 and Supp Fig 5).<br><br><br>
DOI: 10.5281/zenodo.14850186
title: Data for 'Constructed Dunes and Roads Reduce Decadal Washover Flux on Transgressing Barrier Islands'

description: This dataset includes extracted geomorphological metrics and washover flux results for a 30-km section of Northern Hatteras Island, North Carolina, USA. The data provide insights into barrier island dynamics and washover processes over a multi-year period. Additionally, an R script is available in the linked GitHub repository to visualize and analyze the dataset. Users are encouraged to refer to the included ReadMe.txt file for a detailed description of variables and instructions for data usage. Please note that the R script may require adjustments to match your local file structure. These resources aim to support further research and replication of results presented in the associated publication.
DOI: 10.5281/zenodo.14850187
title: Data for 'Constructed Dunes and Roads Reduce Decadal Washover Flux on Transgressing Barrier Islands'

description: This dataset includes extracted geomorphological metrics and washover flux results for a 30-km section of Northern Hatteras Island, North Carolina, USA. The data provide insights into barrier island dynamics and washover processes over a multi-year period. Additionally, an R script is available in the linked GitHub repository to visualize and analyze the dataset. Users are encouraged to refer to the included ReadMe.txt file for a detailed description of variables and instructions for data usage. Please note that the R script may require adjustments to match your local file structure. These resources aim to support further research and replication of results presented in the associated publication.
DOI: 10.5281/zenodo.14850399
title: User study data for "Everything to Gain: Combining Area Cursors with Increased Control-Display Gain for Fast and Accurate Touchless Input"

description: User study data from the Everything to Gain: Combining Area Cursors with Increased Control-Display Gain for Fast and Accurate Touchless Input paper, published at the CHI '25 conference
DOI: 10.5281/zenodo.14850400
title: User study data for "Everything to Gain: Combining Area Cursors with Increased Control-Display Gain for Fast and Accurate Touchless Input"

description: User study data from the Everything to Gain: Combining Area Cursors with Increased Control-Display Gain for Fast and Accurate Touchless Input paper, published at the CHI '25 conference
DOI: 10.5517/ccdc.csd.cc2fvp33
title: CCDC 2259965: Experimental Crystal Structure Determination

description: Related Article: Krishna Kumar Mahto, Beauty Kumari, Mukesh Kumar, Khursheed Ahmad|2025|Inorg.Chim.Acta|578|122536|doi:10.1016/j.ica.2025.122536
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fvp55
title: CCDC 2259967: Experimental Crystal Structure Determination

description: Related Article: Krishna Kumar Mahto, Beauty Kumari, Mukesh Kumar, Khursheed Ahmad|2025|Inorg.Chim.Acta|578|122536|doi:10.1016/j.ica.2025.122536
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fvp66
title: CCDC 2259968: Experimental Crystal Structure Determination

description: Related Article: Krishna Kumar Mahto, Beauty Kumari, Mukesh Kumar, Khursheed Ahmad|2025|Inorg.Chim.Acta|578|122536|doi:10.1016/j.ica.2025.122536
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k6tg2
title: CCDC 2360044: Experimental Crystal Structure Determination

description: Related Article: Samantha L. Piper, Leena Melag, Mega Kar, Xiong Xiao, Eric F. May, Kondo-Francois Aguey-Zinsou, Douglas R. MacFarlane, Jennifer M. Pringle|2025|Science|387|56|doi:10.1126/science.adq8396
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2k6th3
title: CCDC 2360045: Experimental Crystal Structure Determination

description: Related Article: Samantha L. Piper, Leena Melag, Mega Kar, Xiong Xiao, Eric F. May, Kondo-Francois Aguey-Zinsou, Douglas R. MacFarlane, Jennifer M. Pringle|2025|Science|387|56|doi:10.1126/science.adq8396
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hk4px
title: CCDC 2310389: Experimental Crystal Structure Determination

description: Related Article: Damian Jagleniec, Aleksandra Kopeć, Łukasz Dobrzycki, Jan Romański|2024|Inorg.Chem.|63|24797|doi:10.1021/acs.inorgchem.4c04127
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lc5hn
title: CCDC 2394021: Experimental Crystal Structure Determination

description: Related Article: Sankalpa N. Panda, Prabhanjan Pradhan, Satyapriya Nath, Jeebanjyoti Mohapatra, Biplab K. Patra, Bishnu P. Biswal|2025|Chem.Commun.|61|2536|doi:10.1039/D4CC05965D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.48677/193c0509-3630-4ca2-8141-464195b5884f
title: Photogrammetrische Grundlagen 1955

description: Das Luftbildarchiv des BEV enthält, je nach Verfügbarkeit, neben den Originalaufnahmen auch die für photogrammetrische Anwendungen erforderlichen Grundlagen. Passpunktkoordinaten, Passpunktskizzen, Passpunktübersichten, Arbeitskopien, Orientierungsdaten und Kalibrierungsprotokolle sind unverzichtbare Arbeitsbehelfe zur technischen Auswertung von Luftbildern.
Photogrammetrischen Grundlagen beinhalten eine Arbeitskopie, alle dazugehörigen Passpunkte mit eventuell vorhandenen Skizzen sowie das Kalibrierungsprotokoll.

Seit der Umstellung auf eine digitale Befliegung (ab 2011) sind auf Grund dieser produktionstechnischen Änderung keine Photogrammetrischen Grundlagen mehr verfügbar. Kalibrierungsprotokolle stehen weiterhin zur Verfügung.
DOI: 10.48677/42858965-0897-4e5a-9eaa-600e5c58d30b
title: Photogrammetrische Grundlagen 1956

description: Das Luftbildarchiv des BEV enthält, je nach Verfügbarkeit, neben den Originalaufnahmen auch die für photogrammetrische Anwendungen erforderlichen Grundlagen. Passpunktkoordinaten, Passpunktskizzen, Passpunktübersichten, Arbeitskopien, Orientierungsdaten und Kalibrierungsprotokolle sind unverzichtbare Arbeitsbehelfe zur technischen Auswertung von Luftbildern.
Photogrammetrischen Grundlagen beinhalten eine Arbeitskopie, alle dazugehörigen Passpunkte mit eventuell vorhandenen Skizzen sowie das Kalibrierungsprotokoll.

Seit der Umstellung auf eine digitale Befliegung (ab 2011) sind auf Grund dieser produktionstechnischen Änderung keine Photogrammetrischen Grundlagen mehr verfügbar. Kalibrierungsprotokolle stehen weiterhin zur Verfügung.
DOI: 10.48677/17cb72b6-9d8b-42a6-9cd6-c7698d855a85
title: Photogrammetrische Grundlagen 1957

description: Das Luftbildarchiv des BEV enthält, je nach Verfügbarkeit, neben den Originalaufnahmen auch die für photogrammetrische Anwendungen erforderlichen Grundlagen. Passpunktkoordinaten, Passpunktskizzen, Passpunktübersichten, Arbeitskopien, Orientierungsdaten und Kalibrierungsprotokolle sind unverzichtbare Arbeitsbehelfe zur technischen Auswertung von Luftbildern.
Photogrammetrischen Grundlagen beinhalten eine Arbeitskopie, alle dazugehörigen Passpunkte mit eventuell vorhandenen Skizzen sowie das Kalibrierungsprotokoll.

Seit der Umstellung auf eine digitale Befliegung (ab 2011) sind auf Grund dieser produktionstechnischen Änderung keine Photogrammetrischen Grundlagen mehr verfügbar. Kalibrierungsprotokolle stehen weiterhin zur Verfügung.