cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10523104
title: Sparsely Populated Areas: Scottish Data Zone classification

description: A classification of Scotland's Data Zones (2011 Census version), identifying those classified as sparsely populated: places where it is estimated that less than 10,000 people lived within 30 minutes' travel in 2011. This definition has been used in a body of research at the James Hutton Institute on demographic change: a previous version of the SPA, calculated for Output Areas, was developed and used in population projections (Copus and Hopkins, 2018: https://www.hutton.ac.uk/sites/default/files/files/research/srp2016-21/RD3.4.1%20Note%20WP1-3%20web%20-%20published.pdf) and this version has been used in further modelling of population change (Hopkins et al., 2022: https://www.hutton.ac.uk/sites/default/files/files/research/srp2016-21/rd341prospectsdemographicrecoveryinspas.pdf). 

Further details of the calculation of the Sparsely Populated Areas geography, including raw data and software used, are contained in Hopkins and Piras (2020/2022: https://www.hutton.ac.uk/sites/default/files/files/research/srp2016-21/rd341briefprojectionsandforesightintro.pdf).

The dataset contains four fields: 



DataZone: standard code representing each Data Zone

LOCALAUTHORITY: the local authority/council area which the Data Zone is in

PP: the estimated number of people living within 30 minutes' travel in 2011. This was calculated for Data Zones outside large settlements (those with a population of 20,000 or more), only. 

SPAFLAG: a two-fold classification showing whether Data Zones are defined as sparsely populated or not.
DOI: 10.5281/zenodo.10523105
title: Sparsely Populated Areas: Scottish Data Zone classification

description: A classification of Scotland's Data Zones (2011 Census version), identifying those classified as sparsely populated: places where it is estimated that less than 10,000 people lived within 30 minutes' travel in 2011. This definition has been used in a body of research at the James Hutton Institute on demographic change: a previous version of the SPA, calculated for Output Areas, was developed and used in population projections (Copus and Hopkins, 2018: https://www.hutton.ac.uk/sites/default/files/files/research/srp2016-21/RD3.4.1%20Note%20WP1-3%20web%20-%20published.pdf) and this version has been used in further modelling of population change (Hopkins et al., 2022: https://www.hutton.ac.uk/sites/default/files/files/research/srp2016-21/rd341prospectsdemographicrecoveryinspas.pdf). 

Further details of the calculation of the Sparsely Populated Areas geography, including raw data and software used, are contained in Hopkins and Piras (2020/2022: https://www.hutton.ac.uk/sites/default/files/files/research/srp2016-21/rd341briefprojectionsandforesightintro.pdf).

The dataset contains four fields: 



DataZone: standard code representing each Data Zone

LOCALAUTHORITY: the local authority/council area which the Data Zone is in

PP: the estimated number of people living within 30 minutes' travel in 2011. This was calculated for Data Zones outside large settlements (those with a population of 20,000 or more), only. 

SPAFLAG: a two-fold classification showing whether Data Zones are defined as sparsely populated or not.
DOI: 10.6084/m9.figshare.19313609
title: Additional file 4 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 4: Table S3 Lists GO enrichment of up-regulated and down-regulated mRNAs in GSWW and VR2332 infected groups.
DOI: 10.6084/m9.figshare.19313612
title: Additional file 5 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 5: Table S4 Lists KEGG pathway enrichment of up-regulated and down-regulated mRNAs in GSWW and VR2332 infected groups.
DOI: 10.6084/m9.figshare.19313609.v1
title: Additional file 4 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 4: Table S3 Lists GO enrichment of up-regulated and down-regulated mRNAs in GSWW and VR2332 infected groups.
DOI: 10.6084/m9.figshare.19313615
title: Additional file 6 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 6: Table S5 Lists KEGG pathway enrichment of mRNAs co-localized with differently expressed lncRNAs in GSWW and VR2332 infected groups.
DOI: 10.6084/m9.figshare.19313612.v1
title: Additional file 5 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 5: Table S4 Lists KEGG pathway enrichment of up-regulated and down-regulated mRNAs in GSWW and VR2332 infected groups.
DOI: 10.5281/zenodo.10715007
title: Data for Integration of physical bound constraints to alleviate shortcomings of statistical models for extreme temperatures

description: This is pre-processed data from the IPSL climate model used in the draft of "Integration of physical bound constraints to alleviate shortcomings of statistical models for extreme temperatures"
DOI: 10.6084/m9.figshare.19313615.v1
title: Additional file 6 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 6: Table S5 Lists KEGG pathway enrichment of mRNAs co-localized with differently expressed lncRNAs in GSWW and VR2332 infected groups.
DOI: 10.25592/uhhfdm.10253
title: Data for: Selected topics on integrated production-scheduling and maintenance-planning problems

description: This data set contains the supplementary materials for the articles in the cumulative dissertation: "Selected topics on integrated production-scheduling and maintenance-planning problems".
DOI: 10.25592/uhhfdm.10255
title: SPI - Standardized Precipitation Index from CRU for EU and USA

description: The "Standardized Precipitation Index" (SPI) is used to describe  extremely dry or wet climate situations.<br>
<br>
The advantages of SPI usage are:


 Only precipitation data are needed for the calculation of the index.
 The index is a standardized measure for precipitation in different climatic regions and for seasonal differences.
 Calculated for different time scales: meteorological, agricultural-economic and hydrological.


<strong>SPI Classes</strong>:


 SPI ≤ -2: Extremely dry,
 -2 &lt; SPI ≤ -1.5: Severely dry,
 -1.5 &lt; SPI ≤ -1: Moderately dry,
 -1 &lt; SPI ≤ 1: Near normal,
 1 &lt; SPI ≤ 1.5: Moderately wet,
 1.5 &lt; SPI ≤ 2: Severely wet,
 SPI ≥ 2: Extremely wet.


<br>
<strong>Calculation</strong>:<br>
The SPI, presented here, is different from the original SPI definition of McKee et al. 1993. An enhanced SPI is used, that significantly reduces errors resulting from the determination of the precipitation's distribution (Sienz et al. 2011). MC Kee et al. 1993 shifted the time series of the SPI one time step into the future, but this is not done for the calculation of the SPI presented here. The reference period used for calculation of all distributions is 1901-2020.

The SPIs (1, 3, 6, 9, 12, 24, 48) were calculated from the Climate Research Unit (CRU) precipitation data set, Version: CRU TS 4.05 for the period 1901 - 2020 for Europe and USA. It is an update and replaces the SPI from CRU by Frank Sienz. As various changes were made to the scripts, comparisons with examples of the results were made to ensure the quality of the data. The date specified in the files always indicates the end of the period under consideration.
DOI: 10.25592/uhhfdm.10252
title: Data for: Selected topics on integrated production-scheduling and maintenance-planning problems

description: This data set contains the supplementary materials for the articles in the cumulative dissertation: "Selected topics on integrated production-scheduling and maintenance-planning problems".
DOI: 10.25592/uhhfdm.10254
title: SPI - Standardized Precipitation Index from CRU for EU and USA

description: The "Standardized Precipitation Index" (SPI) is used to describe  extremely dry or wet climate situations.<br>
<br>
The advantages of SPI usage are:


 Only precipitation data are needed for the calculation of the index.
 The index is a standardized measure for precipitation in different climatic regions and for seasonal differences.
 Calculated for different time scales: meteorological, agricultural-economic and hydrological.


<strong>SPI Classes</strong>:


 SPI ≤ -2: Extremely dry,
 -2 &lt; SPI ≤ -1.5: Severely dry,
 -1.5 &lt; SPI ≤ -1: Moderately dry,
 -1 &lt; SPI ≤ 1: Near normal,
 1 &lt; SPI ≤ 1.5: Moderately wet,
 1.5 &lt; SPI ≤ 2: Severely wet,
 SPI ≥ 2: Extremely wet.


<br>
<strong>Calculation</strong>:<br>
The SPI, presented here, is different from the original SPI definition of McKee et al. 1993. An enhanced SPI is used, that significantly reduces errors resulting from the determination of the precipitation's distribution (Sienz et al. 2011). MC Kee et al. 1993 shifted the time series of the SPI one time step into the future, but this is not done for the calculation of the SPI presented here. The reference period used for calculation of all distributions is 1901-2020.

The SPIs (1, 3, 6, 9, 12, 24, 48) were calculated from the Climate Research Unit (CRU) precipitation data set, Version: CRU TS 4.05 for the period 1901 - 2020 for Europe and USA. It is an update and replaces the SPI from CRU by Frank Sienz. As various changes were made to the scripts, comparisons with examples of the results were made to ensure the quality of the data. The date specified in the files always indicates the end of the period under consideration.
DOI: 10.6084/m9.figshare.19313618
title: Additional file 7 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 7: Table S6 Lists KEGG pathway enrichment of mRNAs co-expressed with differently expressed lncRNAs in GSWW and VR2332 infected groups.
DOI: 10.25592/uhhfdm.10235
title: 3D scan dataset associated with the publication "Microwear textures associated with experimental near-natural diets suggest that seeds and hard insect body-parts cause high enamel surface complexity in small mammals"

description: Principal Investigator Contact Information

Name: Daniela E. Winkler                           

Institution: The University of Tokyo, Graduate School of Frontier Sciences, Department of

       Natural Environmental Studies

Address: Kashiwanoha 5-1-5, Chiba 277-8563, Kashiwa City, Japan

Email: daniela.eileen.winkler@k.u-tokyo.ac.jp

 

This digital folder contains the dataset (252 scans in total) of the publication “<em>Microwear textures associated with experimental near-natural diets suggest that seeds and hard insect body-parts</em> <em> cause high enamel surface complexity in small mammals</em>” by Winkler, D.E., Clauss, M., Kubo, M.O., Schulz-Kornas, E., Kaiser, T.M., Tschudin, A., De Cuyper, A., Kubo, T., Tütken, T.

The 3D scan data used in this study are collected from the original tooth enamel surfaces from upper first and second molar of rats that received dedicated diets during a feeding experiment conducted under the framework of the ERC project “Vertebrate Herbivory” (Consolidator Grant Agreement 681450 to Thomas Tütken).

Surface scans of the enamel bands were conducted by a <em>µ</em>surf Custom (NanoFocus AG, Oberhausen, Germany) confocal disc-scanning microscope, equipped with a blue LED (470 nm) and high-speed progressive-scan digital camera (984 x 984 pixel), a 100x long working-distance objective (resolution in x, y = 0.16 µm, step size in z = 0.06 µm), and cut to 60x60 [endif]--&gt;m using MountainsMap v. 8.2 (Digital Surf, Besançon, France). It is recommended to use MountainsMap v.8.0 or higher for data inspection and further processing.
DOI: 10.25592/uhhfdm.10234
title: 3D scan dataset associated with the publication "Microwear textures associated with experimental near-natural diets suggest that seeds and hard insect body-parts cause high enamel surface complexity in small mammals"

description: Principal Investigator Contact Information

Name: Daniela E. Winkler                           

Institution: The University of Tokyo, Graduate School of Frontier Sciences, Department of

       Natural Environmental Studies

Address: Kashiwanoha 5-1-5, Chiba 277-8563, Kashiwa City, Japan

Email: daniela.eileen.winkler@k.u-tokyo.ac.jp

 

This digital folder contains the dataset (252 scans in total) of the publication “<em>Microwear textures associated with experimental near-natural diets suggest that seeds and hard insect body-parts</em> <em> cause high enamel surface complexity in small mammals</em>” by Winkler, D.E., Clauss, M., Kubo, M.O., Schulz-Kornas, E., Kaiser, T.M., Tschudin, A., De Cuyper, A., Kubo, T., Tütken, T.

The 3D scan data used in this study are collected from the original tooth enamel surfaces from upper first and second molar of rats that received dedicated diets during a feeding experiment conducted under the framework of the ERC project “Vertebrate Herbivory” (Consolidator Grant Agreement 681450 to Thomas Tütken).

Surface scans of the enamel bands were conducted by a <em>µ</em>surf Custom (NanoFocus AG, Oberhausen, Germany) confocal disc-scanning microscope, equipped with a blue LED (470 nm) and high-speed progressive-scan digital camera (984 x 984 pixel), a 100x long working-distance objective (resolution in x, y = 0.16 µm, step size in z = 0.06 µm), and cut to 60x60 [endif]--&gt;m using MountainsMap v. 8.2 (Digital Surf, Besançon, France). It is recommended to use MountainsMap v.8.0 or higher for data inspection and further processing.
DOI: 10.6084/m9.figshare.19313618.v1
title: Additional file 7 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 7: Table S6 Lists KEGG pathway enrichment of mRNAs co-expressed with differently expressed lncRNAs in GSWW and VR2332 infected groups.
DOI: 10.25592/uhhfdm.10239
title: SPI - Standardized Precipitation Index from CRU / ECAD for EU and USA

description: The "Standardized Precipitation Index" (SPI) is used to describe  extremely dry or wet climate situations. The World Meteorological Organization (WMO) recommends, that all national meteorological and hydrological services should use the SPI for monitoring of dry spells (Press report December 2009, WMO No. 872).<br>
<br>
The advantages of SPI usage are:


 Only precipitation data are needed for the calculation of the index.
 The index is a standardized measure for precipitation in different climatic regions and for seasonal differences.
 Calculated for different time scales: meteorological, agricultural-economic and hydrological.


<strong>SPI Classes</strong>:


 SPI ≤ -2: Extremely dry,
 -2 &lt; SPI ≤ -1.5: Severely dry,
 -1.5 &lt; SPI ≤ -1: Moderately dry,
 -1 &lt; SPI ≤ 1: Near normal,
 1 &lt; SPI ≤ 1.5: Moderately wet,
 1.5 &lt; SPI ≤ 2: Severely wet,
 SPI ≥ 2: Extremely wet.


<br>
<strong>Calculation</strong>:<br>
The SPI, presented here, is different from the original SPI definition of McKee et al. 1993. An enhanced SPI is used, that significantly reduces errors resulting from the determination of the precipitation's distribution (Sienz et al. 2011). MC Kee et al. 1993 shifted the time series of the SPI one time step into the future, but this is not done for the calculation of the SPI presented here.

The SPI was calculated from two precipitation data sets:


 European Climate and Data Assessment (ECA&D), E-OBS gridded dataset Version 4.0 (1951 - 2010) for Europe
 Climate Research Unit (CRU), Version: CRU TS 2.1 (1901 - 2002) for Europe and USA
description: A project of "Integrated Climate System Analysis and Prediction" (CliSAP) Cluster of Excellence (P2) at CEN, University of Hamburg
description: {"references": ["Sienz, F., Bothe, O., and Fraedrich, K.: Monitoring and quantifying future climate projections of dryness and wetness extremes: SPI bias, Hydrol. Earth Syst. Sci., 16, 2143\u20132157, https://doi.org/10.5194/hess-16-2143-2012 , 2012.", "McKee, T.B., Doeskin, N.J. and Kleist, J.: The relationship of drought frequency and duration to timescales, in 8th Conf. on applied climatology, pp. 179-184, American Meteorological Society, Anaheim, Canada, 1993."]}
DOI: 10.25592/uhhfdm.9760
title: Multispectral Data of the Manichaean Epistles from the collections of Ägyptisches Museum und Papyrussammlung Berlin and Muzeum Narodowe w Warszawie

description: Multispectral imaging was performed in Berlin (November 2019) and Warsaw (December 2021) to assist preparing a first published edition of all papyrus leaves identified as belonging to P. Berol. inv. 15998.  These are the remnants of a codex containing copies of letters written by Mani or Manichaeus in a Coptic translation, as circulated amongst the Manichaean communities of Egypt in late antiquity.  The artefact was acquired for the Berlin state museums (Staatliche Museen zu Berlin) in the early 1930s.  The print edition of these remains was published by Iain Gardner as <em>Mani’s Epistles </em>in 2022.  The images can be viewed here as listed according to the page numbers assigned to them in the publication, and also referenced to the inventory numbers utilised by the museums in Berlin and Warsaw where they are now housed. 

For all further details refer to:

I. Gardner, <em>Mani’s Epistles. The Surviving Parts of the Coptic Codex Berlin P. 15998</em>, (Manichäische Handschriften der Staatlichen Museen zu Berlin, Band II), W. Kohlhammer, Stuttgart 2022.

 

High resolution, color and processed TIFF images can be viewed in the viewer or downloaded for viewing.

Complete multispectral datasets, as well as the brief explanation of MSI datasets can be found and downloaded at the bottom of the list.
description: The research for this project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.25592/uhhfdm.9759
title: Multispectral Data of the Manichaean Epistles from the collections of Ägyptisches Museum und Papyrussammlung Berlin and Muzeum Narodowe w Warszawie

description: Multispectral imaging was performed in Berlin (November 2019) and Warsaw (December 2021) to assist preparing a first published edition of all papyrus leaves identified as belonging to P. Berol. inv. 15998.  These are the remnants of a codex containing copies of letters written by Mani or Manichaeus in a Coptic translation, as circulated amongst the Manichaean communities of Egypt in late antiquity.  The artefact was acquired for the Berlin state museums (Staatliche Museen zu Berlin) in the early 1930s.  The print edition of these remains was published by Iain Gardner as <em>Mani’s Epistles </em>in 2022.  The images can be viewed here as listed according to the page numbers assigned to them in the publication, and also referenced to the inventory numbers utilised by the museums in Berlin and Warsaw where they are now housed. 

For all further details refer to:

I. Gardner, <em>Mani’s Epistles. The Surviving Parts of the Coptic Codex Berlin P. 15998</em>, (Manichäische Handschriften der Staatlichen Museen zu Berlin, Band II), W. Kohlhammer, Stuttgart 2022.

 

High resolution, color and processed TIFF images can be viewed in the viewer or downloaded for viewing.

Complete multispectral datasets, as well as the brief explanation of MSI datasets can be found and downloaded at the bottom of the list.
description: The research for this project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2176 'Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures', project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
DOI: 10.25592/uhhfdm.10231
title: The balanced maximally diverse grouping problem with attribute values - instance data

description: This data set includes the instances used in the paper "The balanced maximally diverse grouping problem with attribute values".
DOI: 10.25592/uhhfdm.10230
title: The balanced maximally diverse grouping problem with attribute values - instance data

description: This data set includes the instances used in the paper "The balanced maximally diverse grouping problem with attribute values".
DOI: 10.6084/m9.figshare.19313621
title: Additional file 8 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 8: Table S7 Lists Real-time primers and siRNAs used in this study.
DOI: 10.25592/uhhfdm.10238
title: SPI - Standardized Precipitation Index from CRU / ECAD for EU and USA

description: The "Standardized Precipitation Index" (SPI) is used to describe  extremely dry or wet climate situations. The World Meteorological Organization (WMO) recommends, that all national meteorological and hydrological services should use the SPI for monitoring of dry spells (Press report December 2009, WMO No. 872).<br>
<br>
The advantages of SPI usage are:


 Only precipitation data are needed for the calculation of the index.
 The index is a standardized measure for precipitation in different climatic regions and for seasonal differences.
 Calculated for different time scales: meteorological, agricultural-economic and hydrological.


<strong>SPI Classes</strong>:


 SPI ≤ -2: Extremely dry,
 -2 &lt; SPI ≤ -1.5: Severely dry,
 -1.5 &lt; SPI ≤ -1: Moderately dry,
 -1 &lt; SPI ≤ 1: Near normal,
 1 &lt; SPI ≤ 1.5: Moderately wet,
 1.5 &lt; SPI ≤ 2: Severely wet,
 SPI ≥ 2: Extremely wet.


<br>
<strong>Calculation</strong>:<br>
The SPI, presented here, is different from the original SPI definition of McKee et al. 1993. An enhanced SPI is used, that significantly reduces errors resulting from the determination of the precipitation's distribution (Sienz et al. 2011). MC Kee et al. 1993 shifted the time series of the SPI one time step into the future, but this is not done for the calculation of the SPI presented here.

The SPI was calculated from two precipitation data sets:


 European Climate and Data Assessment (ECA&D), E-OBS gridded dataset Version 4.0 (1951 - 2010) for Europe
 Climate Research Unit (CRU), Version: CRU TS 2.1 (1901 - 2002) for Europe and USA
description: A project of "Integrated Climate System Analysis and Prediction" (CliSAP) Cluster of Excellence (P2) at CEN, University of Hamburg
description: {"references": ["Sienz, F., Bothe, O., and Fraedrich, K.: Monitoring and quantifying future climate projections of dryness and wetness extremes: SPI bias, Hydrol. Earth Syst. Sci., 16, 2143\u20132157, https://doi.org/10.5194/hess-16-2143-2012 , 2012.", "McKee, T.B., Doeskin, N.J. and Kleist, J.: The relationship of drought frequency and duration to timescales, in 8th Conf. on applied climatology, pp. 179-184, American Meteorological Society, Anaheim, Canada, 1993."]}
DOI: 10.6084/m9.figshare.19313621.v1
title: Additional file 8 of The long non-coding RNA LNC_000397 negatively regulates PRRSV replication through induction of interferon-stimulated genes

description: Additional file 8: Table S7 Lists Real-time primers and siRNAs used in this study.