cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/22117046.v1
title: Data underlying dissertation: “The Causes of Regional Sea-level Change”

description: This repository contains data underlying the thesis “The Causes of Regional Sea-level Change” by Carolina M. L. Camargo. A copy of the dissertation can be found at the TU Delft repository. <br> The data is divided in folders following the chapters of the dissertations. When using any of this data, please cite the appropriate publications. In addition, all the produced results of this dissertation has underlying data of other publications and studies, so please also acknowledge those. <br> <strong>Chapter 1 – Introduction</strong> In this folder you can find: - gmsl.xlsx – Excel table underlying Table 1.1, Table 1.2 and Figure 1.3 - masks.nc – netcdf file with ocean basins underlying Figure 1.4 - regional.xlsx – Excel table underlying bar plots in Figure 1.4 <br> <strong>Chapter 2 – Steric Sea-level Change</strong> In this folder you find: - Upper_ocean folder: 0-2000m steric time series and trends. A dedicated Readme on this folder explains in more detail the files. Note: The regional time series are only available at the 4tu link below. - Deep_ocean folder: Deep ocean (&gt;2000m) time series and trends, underlying Appendix of Chapter 2. The data of this (main) chapter is also available at: https://doi.org/10.4121/12764933 <br> <strong>Chapter 3 – Mass-driven Sea-level Change</strong> This folder contains files with regional barystatic (ocean mass) sea-level change trends and uncertainty, both absolute and relative fingerprints. A dedicated Readme on this folder explains in more detail the files. The data of this chapter is also available at: https://doi.org/10.4121/16778794 <br> <strong>Chapter 4 – Regional Sea-level Budget</strong> This folder contains files from the regional sea-level budget analysis. A dedicated Readme on this folder explains in more detail the files. The data of this chapter is also available at: https://doi.org/10.5281/zenodo.7385561 ---- In case of questions, please contact Carolina Camargo at carolina.camargo@nioz.nl or caromlcamargo@gmail.com
DOI: 10.4121/21814983.v1
title: Data and images for 'The effect of meat shaming on meat eaters’ emotions and intentions to adapt behavior'

description: We investigate meat-shaming as an example of a negative emotion-based communication strategy aimed at reducing consumers’ meat consumption. We empirically test the effect of shaming messages on products on the extent to which consumers experience shame and other negative emotions, and the extent to which they appear inclined to change their behavior. Specifically, we explore the effect of the presence of a message or not (Study 1); the content of the message (detrimental effect of eating meat on the environment, animal welfare, personal health) (Study 2); the framing of the message (informational, personal blaming) (Study 2); and its source (government, activist group, private person) (Study 3). Participants were asked to look carefully at one of the images and rated purchase intention and the extent to which they felt several emotions (guilt, shame, sadness, anger, disgust, anxiety, confusion, compassion) Then they indicated whether seeing the image affected their tendency (1) to change their meat consumption; (2) to restore their self-image; (3) to change nothing. They also indicated on how many days per week they generally ate meat or meat products. In Study 2 they also rated the credibility of the messages, while in Study 3 they evaluated the reliability of the organizations that were the alleged sources of the shaming messages. <br> The full description of the studies can be found in the paper. Here you can find files for the images we used in the three studies and we included the data files (SPSS files). The SPSS files contain the full variable descriptions and value labels. <br> The images of Figure 4 with organizational logos can be obtained from the authors through email h.n.j.schifferstein@tudelft.nl <br> <br>
DOI: 10.4121/21814983
title: Data and images for 'The effect of meat shaming on meat eaters’ emotions and intentions to adapt behavior'

description: We investigate meat-shaming as an example of a negative emotion-based communication strategy aimed at reducing consumers’ meat consumption. We empirically test the effect of shaming messages on products on the extent to which consumers experience shame and other negative emotions, and the extent to which they appear inclined to change their behavior. Specifically, we explore the effect of the presence of a message or not (Study 1); the content of the message (detrimental effect of eating meat on the environment, animal welfare, personal health) (Study 2); the framing of the message (informational, personal blaming) (Study 2); and its source (government, activist group, private person) (Study 3). Participants were asked to look carefully at one of the images and rated purchase intention and the extent to which they felt several emotions (guilt, shame, sadness, anger, disgust, anxiety, confusion, compassion) Then they indicated whether seeing the image affected their tendency (1) to change their meat consumption; (2) to restore their self-image; (3) to change nothing. They also indicated on how many days per week they generally ate meat or meat products. In Study 2 they also rated the credibility of the messages, while in Study 3 they evaluated the reliability of the organizations that were the alleged sources of the shaming messages. <br> The full description of the studies can be found in the paper. Here you can find files for the images we used in the three studies and we included the data files (SPSS files). The SPSS files contain the full variable descriptions and value labels. <br> The images of Figure 4 with organizational logos can be obtained from the authors through email h.n.j.schifferstein@tudelft.nl <br> <br>
DOI: 10.4121/22006592.v1
title: LES dataset of the 8-9 November 2013 diurnal cycle at the SWiFT site – internal.ipa.obs.noT

description: Large-eddy simulation (LES) data for the diurnal cycle on 8 and 9 November 2013 at the Scaled Wind Farm Technology Facility (SWiFT), simulation case "internal.ipa.obs.noT". The LES data has been generated with SOWFA-6 using Mesoscale-to-Microscale Internal Coupling. The forcing methodology was Indirect Profile Assimilation (IPA) and the forcing data was taken from observational data. Large-scale potential temperature forcing was set to zero. The dataset includes data from 9 virtual met masts ("probes") arranged in a 3x3 grid with 1 km spacing, horizontally averaged data, several 2D instantaneous slices, and the large-scale source terms computed by the IPA algorithm. The simulation is described and analysed in the journal article "Using observational mean‐flow data to drive large‐eddy simulations of a diurnal cycle at the SWiFT site" (case A0 therein). <br> Checkout the README.md file for more information. The SOWFA configuration files to run the simulation as well as all python scripts and Jupyter notebooks used for preprocessing and postprocessing of the data are archived in GitHub repositories under the A2e‐MMC GitHub organization.
DOI: 10.4121/22014659.v1
title: LES dataset of the 8-9 November 2013 diurnal cycle at the SWiFT site – internal.ipa.wrf

description: Large-eddy simulation (LES) data for the diurnal cycle on 8 and 9 November 2013 at the Scaled Wind Farm Technology Facility (SWiFT), simulation case "internal.ipa.wrf". The LES data has been generated with SOWFA-6 using Mesoscale-to-Microscale Internal Coupling. The forcing methodology was Indirect Profile Assimilation (IPA) and the forcing data was taken from a WRF simulation. The dataset includes data from 9 virtual met masts ("probes") arranged in a 3x3 grid with 1 km spacing, horizontally averaged data, several 2D instantaneous slices, and the large-scale source terms computed by the IPA algorithm. The simulation is described and analysed in the journal article "Using observational mean‐flow data to drive large‐eddy simulations of a diurnal cycle at the SWiFT site" (case R therein). <br> Checkout the README.md file for more information. The SOWFA configuration files to run the simulation as well as all python scripts and Jupyter notebooks used for preprocessing and postprocessing of the data are archived in GitHub repositories under the A2e‐MMC GitHub organization.
DOI: 10.4121/22104908.v1
title: Fabrication files and documentation about the Embroidered Inflatables Sample Series

description: This dataset is a compilation of files related to the Embroidered Inflatable samples. The Embroidery Inflatables were created throug a material-driven process that aimed to explore the implications of using digital machine embroidery to create soft actuators for wearable or other textile-based applications. These inflatables are created through the combination of embroidery and silicone casting. The embroidery defines the shape and behavior of the inflatables, removing the complexity from the mold and casting process, and increasing the design possibilities. The methods of fabrication described can also support a robust integration of soft electronics and the actuators into textiles through a single fabrication process (embroidery). <br> In this dataset, you can find the documentation of the design process (including techninal specifications and fabrication method for each sample) and the embroidery files (.pes) of the samples. You can use these to reproduce or, better yet, design new interactive materials and soft interfaces based on digital machine embroidery.
DOI: 10.4121/22104908
title: Fabrication files and documentation about the Embroidered Inflatables Sample Series

description: This dataset is a compilation of files related to the Embroidered Inflatable samples. The Embroidery Inflatables were created throug a material-driven process that aimed to explore the implications of using digital machine embroidery to create soft actuators for wearable or other textile-based applications. These inflatables are created through the combination of embroidery and silicone casting. The embroidery defines the shape and behavior of the inflatables, removing the complexity from the mold and casting process, and increasing the design possibilities. The methods of fabrication described can also support a robust integration of soft electronics and the actuators into textiles through a single fabrication process (embroidery). <br> In this dataset, you can find the documentation of the design process (including techninal specifications and fabrication method for each sample) and the embroidery files (.pes) of the samples. You can use these to reproduce or, better yet, design new interactive materials and soft interfaces based on digital machine embroidery.
DOI: 10.4121/14554815.v1
title: Data supporting the publication: Light trapping in thin silicon solar cells: a review on fundamentals and technologies

description: The paper "Light trapping in thin silicon solar cells: a review on fundamentals and technologies", published in <em>Progress in Photovoltaics: Research and Applications</em> 29.10 (2021): 1125-1137, by R. Saive explains and reviews practical methods and fundamental limits of light trapping in the context of but not limited to silicon solar cells. The excel file in this data set contains some calculations that were performed to make the graphs.
DOI: 10.4121/14554815
title: Data supporting the publication: Light trapping in thin silicon solar cells: a review on fundamentals and technologies

description: The paper "Light trapping in thin silicon solar cells: a review on fundamentals and technologies", published in <em>Progress in Photovoltaics: Research and Applications</em> 29.10 (2021): 1125-1137, by R. Saive explains and reviews practical methods and fundamental limits of light trapping in the context of but not limited to silicon solar cells. The excel file in this data set contains some calculations that were performed to make the graphs.
DOI: 10.34740/kaggle/dsv/5063683
title: DeviceSpecs.com all category smartphone ads(3k)
DOI: 10.5281/zenodo.7676389
title: Dataset for Mapping State Transition Susceptibility in Quantum Annealing Part 3

description: Dataset for the paper Mapping State Transition Susceptibility in Quantum Annealing, Part 3. README.md file is contained in the tar.gz file.
DOI: 10.5281/zenodo.7676388
title: Dataset for Mapping State Transition Susceptibility in Quantum Annealing Part 3

description: Dataset for the paper Mapping State Transition Susceptibility in Quantum Annealing, Part 3. README.md file is contained in the tar.gz file.
DOI: 10.6084/m9.figshare.22178799.v1
title: Sex-based differences in placental DNA methylation profiles related to gestational age: an NIH ECHO meta-analysis

description: The placenta undergoes many changes throughout gestation to support the evolving needs of the foetus. There is also a growing appreciation that male and female foetuses develop differently <i>in utero</i>, with unique epigenetic changes in placental tissue. Here, we report meta-analysed sex-specific associations between gestational age and placental DNA methylation from four cohorts in the National Institutes of Health (NIH) Environmental influences on Child Health Outcomes (ECHO) Programme (355 females/419 males, gestational ages 23–42 weeks). We identified 407 cytosine-guanine dinucleotides (CpGs) in females and 794 in males where placental methylation levels were associated with gestational age. After cell-type adjustment, 55 CpGs in females and 826 in males were significant. These were enriched for biological processes critical to the immune system in females and transmembrane transport in males. Our findings are distinct between the sexes: in females, associations with gestational age are largely explained by differences in placental cellular composition, whereas in males, gestational age is directly associated with numerous alterations in methylation levels.
DOI: 10.6084/m9.figshare.22178799
title: Sex-based differences in placental DNA methylation profiles related to gestational age: an NIH ECHO meta-analysis

description: The placenta undergoes many changes throughout gestation to support the evolving needs of the foetus. There is also a growing appreciation that male and female foetuses develop differently <i>in utero</i>, with unique epigenetic changes in placental tissue. Here, we report meta-analysed sex-specific associations between gestational age and placental DNA methylation from four cohorts in the National Institutes of Health (NIH) Environmental influences on Child Health Outcomes (ECHO) Programme (355 females/419 males, gestational ages 23–42 weeks). We identified 407 cytosine-guanine dinucleotides (CpGs) in females and 794 in males where placental methylation levels were associated with gestational age. After cell-type adjustment, 55 CpGs in females and 826 in males were significant. These were enriched for biological processes critical to the immune system in females and transmembrane transport in males. Our findings are distinct between the sexes: in females, associations with gestational age are largely explained by differences in placental cellular composition, whereas in males, gestational age is directly associated with numerous alterations in methylation levels.
DOI: 10.34740/kaggle/dsv/5063931
title: Printed Digits Dataset
DOI: 10.5281/zenodo.7677397
title: Stowaways S1. Methods & Comparative Materials

description: A full description of biometric methods utilized in the Stowaways manuscript, including formulae following previously published protocols and comparative material dataset.
DOI: 10.5281/zenodo.7677398
title: Stowaways S1. Methods & Comparative Materials

description: A full description of biometric methods utilized in the Stowaways manuscript, including formulae following previously published protocols and comparative material dataset.
DOI: 10.5281/zenodo.7665819
title: Relations entre plantes bio-indicatrices et caractéristiques biotiques et abiotiques du sol

description: Jeu de donnée et script pour le projet tutoré M1 BEE Lyon 1
DOI: 10.5281/zenodo.7665818
title: Relations entre plantes bio-indicatrices et caractéristiques biotiques et abiotiques du sol

description: Jeu de donnée et script pour le projet tutoré M1 BEE Lyon 1
DOI: 10.5281/zenodo.7059794
title: Stowaways Supplement S6. Relative Size Index (RSI) Comparative Dataset & R Code for Mediterranean Ship Rats

description: Relative size index (RSI) comparative dataset and R code used to compare the RSI <em>sensu </em>Lomolino (1985) of the ship rats from the Ma'agan Mikhael B (MMB) shipwreck with other Mediterranean island populations. Worksheet 1: RSI_Dataframe - data frame used in R to produce RSI dot & segment plot Worksheet 2: RSI Data - Mainland and island locations mean condylobasal lengths (CBL) and further calculations used to derive the RSI values per mainland-island group. Worksheet 3: Raw data compiled in the southern Levant group, including location and CBL measurements. Worksheet 4: CBL values for each Provençal and Corso-Sardinian Islet that was combined in the RSI analysis, taken directly from Granjon & Cheylan (1990). Data sources: MMB - Southern Levant (this study) Galite & Zembra Islands - Tunisia (Ibrahim et al., 2017) Congreso Island - Morocco (Ventura & Lopez Fuster, 2000) São Miguel & Terceira Island (Azores) - Portugal (Ramalhinho et al., 1996) Corsica & Provençal Islets - Provence (Granjon & Cheylan, 1990) Sardinia & Corso-Sardinian Islets - Tuscany (Granjon & Cheylan, 1990)
description: {"references": ["Granjon, L., & Cheylan, G. (1990b). Diff\u00e9renciation biom\u00e9trique des rats noirs (Rattus rattus) des \u00eeles ouest-m\u00e9diterran\u00e9ennes. Mammalia, 54(2), 213\u2013231.", "Ibrahim, A. ben, Salem, I. ben, Chetoui, M., & Nouira, S. (2017). Morpho-metric analysis of the insular and mainland Rattus in Tunisia. Biologia, 72(8), 927\u2013934. https://doi.org/10.1515/biolog-2017-0093", "Lomolino, M. v. (1985). Body Size of Mammals on Islands: The Island Rule Reexamined. The American Naturalist, 125(2), 310\u2013316. https://www.jstor.org/stable/2461638", "Ramalhinho, M. G., Mathias, M. L., Santos-Reis, M., Libois, R., Fons, R., Petrucci-Fonseca, F., Oom, M. M., & Collares-Pereira, M. (1996). First Approach on the Skull Morphology of the Black Rat (Rattus rattus) from the Terceira and S\u00e3o Miguel Islands (Azores Archipelago). Vie Milieu, 46(3/4), 245\u2013251.", "Ventura, J., & L\u00f3pez Fuster, M. (2000). Morphometric analysis of the black rat, Rattus rattus, from Congreso Island (Chafarinas Archipelago, Spain). Orsis, 15, 91\u2013102."]}
DOI: 10.5281/zenodo.7059793
title: Stowaways Supplement S6. Relative Size Index (RSI) Comparative Dataset & R Code for Mediterranean Ship Rats

description: Relative size index (RSI) comparative dataset and R code used to compare the RSI <em>sensu </em>Lomolino (1985) of the ship rats from the Ma'agan Mikhael B (MMB) shipwreck with other Mediterranean island populations. Worksheet 1: RSI_Dataframe - data frame used in R to produce RSI bar chart. Worksheet 2: RSI Data - Mainland and island samples' mean condylobasal lengths (CBL) and further calculations used to derive the RSI values per island population. Worksheet 3: CBL values for each Provençal and Corso-Sardinian Islet that was combined in the RSI analysis, taken directly from Granjon & Cheylan (1990). Data sources: MMB - Southern Levant (this study) Galite & Zembra Islands - Tunisia (Ibrahim et al., 2017) Congreso Island - Morocco (Ventura & Lopez Fuster, 2000) São Miguel & Terceira Island (Azores) - Portugal (Ramalhinho et al., 1996) Corsica & Provençal Islets - Provence (Granjon & Cheylan, 1990) Sardinia & Corso-Sardinian Islets - Tuscany (Granjon & Cheylan, 1990)
description: {"references": ["Granjon, L., & Cheylan, G. (1990b). Diff\u00e9renciation biom\u00e9trique des rats noirs (Rattus rattus) des \u00eeles ouest-m\u00e9diterran\u00e9ennes. Mammalia, 54(2), 213\u2013231.", "Ibrahim, A. ben, Salem, I. ben, Chetoui, M., & Nouira, S. (2017). Morpho-metric analysis of the insular and mainland Rattus in Tunisia. Biologia, 72(8), 927\u2013934. https://doi.org/10.1515/biolog-2017-0093", "Lomolino, M. v. (1985). Body Size of Mammals on Islands: The Island Rule Reexamined. The American Naturalist, 125(2), 310\u2013316. https://www.jstor.org/stable/2461638", "Ramalhinho, M. G., Mathias, M. L., Santos-Reis, M., Libois, R., Fons, R., Petrucci-Fonseca, F., Oom, M. M., & Collares-Pereira, M. (1996). First Approach on the Skull Morphology of the Black Rat (Rattus rattus) from the Terceira and S\u00e3o Miguel Islands (Azores Archipelago). Vie Milieu, 46(3/4), 245\u2013251.", "Ventura, J., & L\u00f3pez Fuster, M. (2000). Morphometric analysis of the black rat, Rattus rattus, from Congreso Island (Chafarinas Archipelago, Spain). Orsis, 15, 91\u2013102."]}
DOI: 10.5281/zenodo.7090485
title: Stowaways Supplement S6. Relative Size Index (RSI) Comparative Dataset & R Code for Mediterranean Ship Rats

description: Relative size index (RSI) comparative dataset and R code used to compare the RSI <em>sensu </em>Lomolino (1985) of the ship rats from the Ma'agan Mikhael B (MMB) shipwreck with other Mediterranean island populations. Worksheet 1: RSI_Dataframe - data frame used in R to produce RSI dot & segment plot Worksheet 2: RSI Data - Mainland and island locations mean condylobasal lengths (CBL) and further calculations used to derive the RSI values per mainland-island group. Worksheet 3: CBL values for each Provençal and Corso-Sardinian Islet that was combined in the RSI analysis, taken directly from Granjon & Cheylan (1990). Worksheet 4: Raw data compiled in the southern Levant group, including location and CBL measurements. Data sources: MMB - Southern Levant (this study) Galite & Zembra Islands - Tunisia (Ibrahim et al., 2017) Congreso Island - Morocco (Ventura & Lopez Fuster, 2000) São Miguel & Terceira Island (Azores) - Portugal (Ramalhinho et al., 1996) Corsica & Provençal Islets - Provence (Granjon & Cheylan, 1990) Sardinia & Corso-Sardinian Islets - Tuscany (Granjon & Cheylan, 1990)
description: {"references": ["Granjon, L., & Cheylan, G. (1990b). Diff\u00e9renciation biom\u00e9trique des rats noirs (Rattus rattus) des \u00eeles ouest-m\u00e9diterran\u00e9ennes. Mammalia, 54(2), 213\u2013231.", "Ibrahim, A. ben, Salem, I. ben, Chetoui, M., & Nouira, S. (2017). Morpho-metric analysis of the insular and mainland Rattus in Tunisia. Biologia, 72(8), 927\u2013934. https://doi.org/10.1515/biolog-2017-0093", "Lomolino, M. v. (1985). Body Size of Mammals on Islands: The Island Rule Reexamined. The American Naturalist, 125(2), 310\u2013316. https://www.jstor.org/stable/2461638", "Ramalhinho, M. G., Mathias, M. L., Santos-Reis, M., Libois, R., Fons, R., Petrucci-Fonseca, F., Oom, M. M., & Collares-Pereira, M. (1996). First Approach on the Skull Morphology of the Black Rat (Rattus rattus) from the Terceira and S\u00e3o Miguel Islands (Azores Archipelago). Vie Milieu, 46(3/4), 245\u2013251.", "Ventura, J., & L\u00f3pez Fuster, M. (2000). Morphometric analysis of the black rat, Rattus rattus, from Congreso Island (Chafarinas Archipelago, Spain). Orsis, 15, 91\u2013102."]}