cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12567881
title: Data underlying the manuscript: Clinical characteristics of Coronavirus Disease 2019 (COVID-19) patients in Kuwait

description: Note: the data file associated with this data record were originally openly available, but have since been removed and made available upon request. This is due to an administrative decision. The data are still available upon reasonable request from the corresponding author.<br>This dataset consists of a single Excel .xlsx spreadsheet with 6 tabs. The spreadsheet is named ‘COVID19 Kuwait.xlsx’. The data underlie the study described in the related manuscript: "Clinical characteristics of Coronavirus Disease 2019 (COVID-19) patients in Kuwait".<br>The data were gathered as part of a retrospective single-center study of 417 consecutive patients with coronavirus disease 2019 (COVID-19) admitted to Jaber Al-Ahmad Hospital in Kuwait between February 24, 2020 and May 24, 2020.<br>The cohort can be classified into 4 groups: 1. Symptomatic, 2. Asymptomatic, 3. ICU Survivor, 4. ICU Death.<br>The study was reviewed and approved by the standing committee for coordination of health and medical research at the Ministry of Health in Kuwait (IRB 2020/1404). The requirement of written informed consent was waived by the standing committee for coordination of health and medical research at the Ministry of Health in Kuwait due to the urgency of data collection and nature of disease being studied.<br>Corresponding author: Hamad Ali, Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center (HSC), Kuwait University, Jabriya, Kuwait, Dasman Diabetes Institute (DDI), Dasman, Kuwait. Hamad.ali@ku.edu.kw.
DOI: 10.6084/m9.figshare.12567881.v1
title: Data underlying the manuscript: Clinical characteristics of Coronavirus Disease 2019 (COVID-19) patients in Kuwait

description: Note: the data file associated with this data record were originally openly available, but have since been removed and made available upon request. This is due to an administrative decision. The data are still available upon reasonable request from the corresponding author.<br>This dataset consists of a single Excel .xlsx spreadsheet with 6 tabs. The spreadsheet is named ‘COVID19 Kuwait.xlsx’. The data underlie the study described in the related manuscript: "Clinical characteristics of Coronavirus Disease 2019 (COVID-19) patients in Kuwait".<br>The data were gathered as part of a retrospective single-center study of 417 consecutive patients with coronavirus disease 2019 (COVID-19) admitted to Jaber Al-Ahmad Hospital in Kuwait between February 24, 2020 and May 24, 2020.<br>The cohort can be classified into 4 groups: 1. Symptomatic, 2. Asymptomatic, 3. ICU Survivor, 4. ICU Death.<br>The study was reviewed and approved by the standing committee for coordination of health and medical research at the Ministry of Health in Kuwait (IRB 2020/1404). The requirement of written informed consent was waived by the standing committee for coordination of health and medical research at the Ministry of Health in Kuwait due to the urgency of data collection and nature of disease being studied.<br>Corresponding author: Hamad Ali, Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, Health Sciences Center (HSC), Kuwait University, Jabriya, Kuwait, Dasman Diabetes Institute (DDI), Dasman, Kuwait. Hamad.ali@ku.edu.kw.
DOI: 10.6084/m9.figshare.14452992
title: BOLD_braconid_datasets

description: Datasets used for reply to Sharkey et al. 2021
DOI: 10.17028/rd.lboro.14452971.v1
title: Supplementary Information files for: Colloidal Assembly of Polydisperse Particle Blends during drying

description: Supplementary Information files for: Colloidal Assembly of Polydisperse Particle Blends during drying <br>In this work, we synthesize a polydisperse aqueous colloidal system composed of small and large zwitterionic particles, as well as medium sized standard acrylic particles. By assembling these dispersions into films by drying, we show using atomic force microscopy (AFM) how their top surfaces can be mostly covered by zwitterionic groups for a wide range of evaporation rates. We probe underneath the top film surface using Fourier-transform infrared (FTIR) spectroscopy – attenuated total reflection (ATR), observing that the content in zwitterionic particles of the film upper layer increases for faster evaporation rates. We show how polydisperse systems hold great potential to overcome the evaporation rate dependence of size segregation processes in drying colloidal blends, and we provide further insights into the assembly mechanisms involved. Polydisperse blends enhance the robustness of such processes for application in coatings and other soft products where evaporation rate can not be tuned.<br>
DOI: 10.17028/rd.lboro.14452971
title: Supplementary Information files for: Colloidal Assembly of Polydisperse Particle Blends during drying

description: Supplementary Information files for: Colloidal Assembly of Polydisperse Particle Blends during drying <br>In this work, we synthesize a polydisperse aqueous colloidal system composed of small and large zwitterionic particles, as well as medium sized standard acrylic particles. By assembling these dispersions into films by drying, we show using atomic force microscopy (AFM) how their top surfaces can be mostly covered by zwitterionic groups for a wide range of evaporation rates. We probe underneath the top film surface using Fourier-transform infrared (FTIR) spectroscopy – attenuated total reflection (ATR), observing that the content in zwitterionic particles of the film upper layer increases for faster evaporation rates. We show how polydisperse systems hold great potential to overcome the evaporation rate dependence of size segregation processes in drying colloidal blends, and we provide further insights into the assembly mechanisms involved. Polydisperse blends enhance the robustness of such processes for application in coatings and other soft products where evaporation rate can not be tuned.<br>
DOI: 10.5281/zenodo.4704391
title: Meat Cut Image Dataset (BEEF)

description: The image data has been collected over a 3 week period in a commercial beef plant and includes 5 different products cuts and they are as follows: Cap Off Pear Off, PAD topside muscle (product ID 20001) Cap off, pear on Topside muscle (product ID 20002) Topside Heart muscle (product ID 20003) Topside Bullet muscle (product ID 20004) Cap Off, Non-Pad, Blue Skin Only Topside muscle (product ID 20010). In this dataset, the background images have also been collected. There are more than 9000 images labeled with respective product IDs and background IDs. The background image name starts with 'background' and the product image name starts with <em>camera-screenshot</em>. The product ID can be found in the filename. For example in the filename <em>camera-screenshot202200011501740766</em>, 202 is the plant ID, <strong>20001</strong> is the product ID and 1501740766 is the timestamp. The spreadsheet has the product ID, corresponding weights (in KGs), and features extracted from the image pre-processing. These features are: Density: white pixel count relative to the total number of pixels. Xmin, XminY: the minimum X and the corresponding Y coordinate. Xmax, XmaxY: the maximum X and the corresponding Y coordinate. YminX, Ymin: the minimum Y and the corresponding X coordinate. YmaxX, Ymax: the maximum Y and the corresponding X coordinate.
DOI: 10.5281/zenodo.4564173
title: Meat Cut Image Dataset (BEEF)

description: The image data has been collected over a 3 week period in a commercial beef plant and includes 5 different products cuts and they are as follows: Cap Off Pear Off, PAD topside muscle (product ID 20001) Cap off, pear on Topside muscle (product ID 20002) Topside Heart muscle (product ID 20003) Topside Bullet muscle (product ID 20004) Cap Off, Non-Pad, Blue Skin Only Topside muscle (product ID 20010). In this dataset, the background images have also been collected. There are more than 9000 images labeled with respective product IDs and background IDs. The background image name starts with 'background' and the product image name starts with <em>camera-screenshot</em>. The product ID can be found in the filename. For example in the filename <em>camera-screenshot202200011501740766</em>, 202 is the plant ID, <strong>20001</strong> is the product ID and 1501740766 is the timestamp. The spreadsheet has the product ID, corresponding weights (in KGs), and features extracted from the image pre-processing. These features are: Density: white pixel count relative to the total number of pixels. Xmin, XminY: the minimum X and the corresponding Y coordinate. Xmax, XmaxY: the maximum X and the corresponding Y coordinate. YminX, Ymin: the minimum Y and the corresponding X coordinate. YmaxX, Ymax: the maximum Y and the corresponding X coordinate.
DOI: 10.5281/zenodo.4704625
title: Data related to article "Glycogen storage in a zebrafish Pompe disease model is reduced by 3-BrPA treatment"

description: Raw data including Images, Statistics, Western blot documenting the article at title
DOI: 10.5281/zenodo.4704624
title: Data related to article "Glycogen storage in a zebrafish Pompe disease model is reduced by 3-BrPA treatment"

description: Raw data including Images, Statistics, Western blot documenting the article at title
DOI: 10.5281/zenodo.4704658
title: Dataset for the lecture "Neural Data Science" at University of Tübingen

description: This file is needed for the coding labs for the course "Neural Data Science" tought at the University of Tübingen. Github repository of the coding labs: https://github.com/berenslab/neural_data_science Data sources: Ecker et al.,Decorrelated Neuronal Firing in Cortical Microcircuits, Science, 2010, http://bethgelab.org/datasets/v1gratings/ Ecker et al.,State Dependence of Noise Correlations in Macaque Primary Visual Cortex, Neuron, 2014 Harris et al.,Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics, PLOS Biology, https://figshare.com/articles/dataset/Transcriptomic_analysis_of_CA1_inhibitory_interneurons/6198656 Reinhard et al., A projection specific logic to sampling visual inputs in mouse superior colliculus, eLife, 2019, https://osf.io/b4qtr/
DOI: 10.5281/zenodo.4704657
title: Dataset for the lecture "Neural Data Science" at University of Tübingen

description: This file is needed for the coding labs for the course "Neural Data Science" tought at the University of Tübingen. Github repository of the coding labs: https://github.com/berenslab/neural_data_science Data sources: Ecker et al.,Decorrelated Neuronal Firing in Cortical Microcircuits, Science, 2010, http://bethgelab.org/datasets/v1gratings/ Ecker et al.,State Dependence of Noise Correlations in Macaque Primary Visual Cortex, Neuron, 2014 Harris et al.,Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics, PLOS Biology, https://figshare.com/articles/dataset/Transcriptomic_analysis_of_CA1_inhibitory_interneurons/6198656 Reinhard et al., A projection specific logic to sampling visual inputs in mouse superior colliculus, eLife, 2019, https://osf.io/b4qtr/
DOI: 10.5281/zenodo.4704685
title: data related to article "Therapeutic efficacy of 3,4-Diaminopyridine phosphate on neuromuscular junction in Pompe disease"

description: raw data including Images and statistics documenting the article at title
description: Study supported by Catalyst Pharmaceuticals private funds
DOI: 10.5281/zenodo.4704684
title: data related to article "Therapeutic efficacy of 3,4-Diaminopyridine phosphate on neuromuscular junction in Pompe disease"

description: raw data including Images and statistics documenting the article at title
description: Study supported by Catalyst Pharmaceuticals private funds
DOI: 10.6084/m9.figshare.12400739.v2
title: Data set on chrysophytes algae in water bodies with territories above the 60th parallel north

description: The dataset includes a list of species of chrysiphytic algae from different water bodies located north of 60 degrees N. A set of species was formed on the basis of analysis of data from 193 scientific publications. In addition, the data contains information on T water temperature, pH, conductivity in the sampling period and month of sampling.<br>
DOI: 10.6084/m9.figshare.14390903.v1
title: Sundering of earthworms by the Fairy Pitta (Pitta nympha) - an unexplored strategy of prey preparation for brood provisioning by avian vermivores

description: At each nest, we installed a dark-colored camouflaged tent 20 m away from the nest. From inside of the tent, we filmed and photographed visiting parents using digital cameras. From the observations and from the videos, we extracted the data.
DOI: 10.11583/dtu.14387477
title: Turbulence measurements from the Marsta mast

description: This dataset consists of raw data and 10-minute statistics of wind speed and wind direction measurements from a 10m mast near Marsta, Swenden.The period includes less than 3000 hours of measurements, which starts in 1994.Detailed site documentation is available here.<br><br><b>Data files (NetCDF format)</b>:1) marsta_all.nc2) marsta_concurrent.nc<br><b>Raw time series</b> with a duration of 600 sec and sampling frequency = 21 Hz:3) = marsta_1994.zip (ascii)4) = marsta_1995.zip (ascii)<br><br><br>
DOI: 10.11583/dtu.14387477.v1
title: Turbulence measurements from the Marsta mast

description: This dataset consists of raw data and 10-minute statistics of wind speed and wind direction measurements from a 10m mast near Marsta, Swenden.The period includes less than 3000 hours of measurements, which starts in 1994.Detailed site documentation is available here.<br><br><b>Data files (NetCDF format)</b>:1) marsta_all.nc2) marsta_concurrent.nc<br><b>Raw time series</b> with a duration of 600 sec and sampling frequency = 21 Hz:3) = marsta_1994.zip (ascii)4) = marsta_1995.zip (ascii)<br><br><br>
DOI: 10.11583/dtu.14229947
title: Turbulence measurements from the two Tughill masts

description: This dataset consists of raw data and 10-minute statistics of wind speed and wind direction measurements from two met mast at Tughill,Copenhagen, NY, US. The period includes 2 years of measurements, which starts in 1992.Detailed site documentation is available here.<br><br><b>Data files (NetCDF format)</b>:1) Tughill_all.nc2) Tughill_concurrent.nc<br><b>Raw time series</b> each with a duration of 3600 sec and sampled with 5 Hz:<br>3) Tughill.zip
DOI: 10.11583/dtu.14229947.v1
title: Turbulence measurements from the two Tughill masts

description: This dataset consists of raw data and 10-minute statistics of wind speed and wind direction measurements from two met mast at Tughill,Copenhagen, NY, US. The period includes 2 years of measurements, which starts in 1992.Detailed site documentation is available here.<br><br><b>Data files (NetCDF format)</b>:1) Tughill_all.nc2) Tughill_concurrent.nc<br><b>Raw time series</b> each with a duration of 3600 sec and sampled with 5 Hz:<br>3) Tughill.zip
DOI: 10.6084/m9.figshare.14453034
title: Perception of competence and self-regulation for physical activity in women with breast cancer

description: As variáveis ​​quantitativas simétricas foram representadas por média e desvio padrão e as variáveis ​​quantitativas assimétricas foram representadas por mediana e intervalo interquartil (mediana [p25; p75]) de acordo com a distribuição verificada pelo teste de normalidade Shapiro-Wilk.<br> Inicialmente, foi calculada a média da variável nível de atividade física e realizada uma dicotomização dessa variável. Para comparar as médias entre as categorias do nível de atividade física, dicotomizadas pela média, foi realizado o teste t para amostras independentes. Para comparar as distribuições das variáveis ​​assimétricas entre as categorias de nível de atividade física, foi realizado o teste não paramétrico de Mann-Whitney. O nível de significância adotado foi de 0,05. O modelo de regressão de Poisson foi utilizado para estimar as razões de prevalência (RP) brutas e ajustadas e seus respectivos IC95% e significância. A significância estatística das razões de prevalência obtidas nos modelos de regressão de Poisson foi calculada pelo teste de Wald. Para a construção do modelo multivariável utilizamos os resultados da regressão univariável inserindo no modelo inicial as variáveis ​​com significância menor que 0,10. Para mantê-los no modelo final, o nível de significância final foi de 0,05, com seleção retroativa das variáveis. As proporções das variáveis ​​categóricas foram comparadas pelo teste do qui-quadrado. As análises foram realizadas no SPSS v.25.
DOI: 10.6084/m9.figshare.14453034.v1
title: Perception of competence and self-regulation for physical activity in women with breast cancer

description: As variáveis ​​quantitativas simétricas foram representadas por média e desvio padrão e as variáveis ​​quantitativas assimétricas foram representadas por mediana e intervalo interquartil (mediana [p25; p75]) de acordo com a distribuição verificada pelo teste de normalidade Shapiro-Wilk.<br> Inicialmente, foi calculada a média da variável nível de atividade física e realizada uma dicotomização dessa variável. Para comparar as médias entre as categorias do nível de atividade física, dicotomizadas pela média, foi realizado o teste t para amostras independentes. Para comparar as distribuições das variáveis ​​assimétricas entre as categorias de nível de atividade física, foi realizado o teste não paramétrico de Mann-Whitney. O nível de significância adotado foi de 0,05. O modelo de regressão de Poisson foi utilizado para estimar as razões de prevalência (RP) brutas e ajustadas e seus respectivos IC95% e significância. A significância estatística das razões de prevalência obtidas nos modelos de regressão de Poisson foi calculada pelo teste de Wald. Para a construção do modelo multivariável utilizamos os resultados da regressão univariável inserindo no modelo inicial as variáveis ​​com significância menor que 0,10. Para mantê-los no modelo final, o nível de significância final foi de 0,05, com seleção retroativa das variáveis. As proporções das variáveis ​​categóricas foram comparadas pelo teste do qui-quadrado. As análises foram realizadas no SPSS v.25.
DOI: 10.11583/dtu.14230130
title: Turbulence measurements from the two Windland masts

description: This dataset consists of time series and 10-minute statistics of wind speed and wind direction measurements from two met mast at Windland, Tehachapi, CA, US. The period includes 2 years of measurements, which starts in 1991.Detailed site documentation is available here.<br><br><b>Data files (NetCDF format)</b> :1) Windland_all.nc2) Windland_concurrent.nc<br><b>Raw time series</b> each with a duration of 3600 sec and sampled with 5 Hz:<br>2) Windland.zip<br>
DOI: 10.11583/dtu.14230130.v1
title: Turbulence measurements from the two Windland masts

description: This dataset consists of time series and 10-minute statistics of wind speed and wind direction measurements from two met mast at Windland, Tehachapi, CA, US. The period includes 2 years of measurements, which starts in 1991.Detailed site documentation is available here.<br><br><b>Data files (NetCDF format)</b> :1) Windland_all.nc2) Windland_concurrent.nc<br><b>Raw time series</b> each with a duration of 3600 sec and sampled with 5 Hz:<br>2) Windland.zip<br>
DOI: 10.6084/m9.figshare.14453043
title: Predicted protease families

description: Protease families were predicted from Chryseobacterium sp. KMC2 genome.
DOI: 10.15468/4hs26q
title: Checklist of Tanzanian Cnidaria

description: Cnidaria is a phylum containing over 9,000 species found exclusively in aquatic and mostly marine environments. It is a large phylum composed of some of the most beautiful of all the salt and freshwater organisms: the true jellyfish, box jellyfish, corals and sea anemones, and hydra. Cnidarians are classified into four main groups: the almost wholly sessile Anthozoa (sea anemones, corals, sea pens); swimming Scyphozoa (jellyfish); Cubozoa (box jellies); and Hydrozoa, a diverse group that includes all the freshwater cnidarians as well as many marine forms. Anthozoa (true coral, sea anemones, sea pens) has about 6000 species, Cubozoa (box jellyfish) about 20 species, Hydrozoa (freshwater hydra, fire coral) about 3000 species and Scyphozoa (true jellyfish) about 200 species worldwide (http://www.angelfire.com/mo2/animals1/phylum/jellyfish.html). All the main groups (classes) Cnidaria (Anthozoa, Scyphozoa, Cubozoa and Hydrozoa are found in Tanzania (Table 1). Only the marine species were considered during the preparation of the Cnidaria checklist. Fresh water Cnidarians will be considered at a later stage in the near future. Marine Hydrozoans, Cubozoans and Scyphozoans are very much under-represented mostly because most marine research (taxonomists) has concentrated on the charismatic Anthozoans, especially calcareous coral reef organisms, which are relatively stable (easy to handle taxonomically). We believe further literature reviews and research will reveal additional records. Thus, the Cnidaria species checklist presented should be regarded as a preliminary contribution. The present checklist contains 365 verified Cnidarians in Tanzania out of about 9000 known globally. The Order Scleractinia (hard corals) contains more than half (236 species) of the verified Cnidarians (Table 1). The Order Alcyonacea (soft corals) is the second numerous group with 80 verified species followed by Actiniaria (sea anemones). Other Orders of Anthozoa such as Corallimorpharia and Zoanthidea were represented by 5 and 4 species, espectively, while Ceriantharia, Helioporacea, and Pennatulacea were represented by single species each. In the checklist, there are 15 Orders of Cnidaria divided into 62 families, and 142 genera. Source of information for the Cnidaria checklist comes from the following publications: Hamilton and Brakel (1984), Sheppard (1987), Johnstone et al. (1998), Veron (2000), Richmond (2002), Schleyer et al. (2003), Obura et al (2004) and personal observation of checklist compilers. Species were crosschecked with those listed in the World registration of Marine Species (WoRMS).
DOI: 10.6084/m9.figshare.14453073.v2
title: GHS Phase 1

description: First phase of data collection for the development of a new hopelessness scale. This scale was aimed to be more effective when used in non-clinical samples. This first phase was to identify the more salient items within the measure, to identify factors and to attain concurrent validity.
DOI: 10.6084/m9.figshare.14453091
title: GHS Phase 2

description: Phase 2 of the development of a new hopelessness scale. This phase was to identify the efficacy of the newest iteration of the scale (see phase 1), against oppositional measures.
DOI: 10.6084/m9.figshare.14453091.v1
title: GHS Phase 2

description: Phase 2 of the development of a new hopelessness scale. This phase was to identify the efficacy of the newest iteration of the scale (see phase 1), against oppositional measures.
DOI: 10.6084/m9.figshare.14453073
title: GHS Phase 1

description: First phase of data collection for the development of a new hopelessness scale. This scale was aimed to be more effective when used in non-clinical samples. This first phase was to identify the more salient items within the measure, to identify factors and to attain concurrent validity.
DOI: 10.6084/m9.figshare.14453073.v1
title: Hopelessness Recodes.sav

description: First phase of data collection for the development of a new hopelessness scale. This scale was aimed to be more effective when used in non-clinical samples. This first phase was to identify the more salient items within the measure, to identify factors and to attain concurrent validity.
DOI: 10.5517/ccdc.csd.cc25gm8k
title: CCDC 2010048: Experimental Crystal Structure Determination

description: Related Article: Yufeng Xie, Zhiqiang Wang, Dan Wang, Yunbing Zhou, Yunxiang Lei, Wenxia Gao, Miaochang Liu, Xiaobo Huang, Huayue Wu|2021|Mater. Chem. Front.|5|3413|doi:10.1039/D1QM00152C