cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15129/1e94403e-31a4-432d-9bdd-7a1b8ff75cc8
title: Evaluating Nanoparticle Localisation in Glioblastoma Multicellular Tumour Spheroids by Surface-Enhanced Raman Scattering

description: This dataset focusses on the importance of 3D in vitro models as a bridge between 2D cellular monolayers and in vivo models. It uses surface enhanced Raman scattering (SERS) to detect and locate shell isolated AuNPs inside multicellular tumour spheroids (MTS). The work investigates the various factors that hinder AuNP uptake in 3D MTS using both SERS and immunohistochemistry.
DOI: 10.6084/m9.figshare.23540988.v1
title: Table S2 Details of the 414 difference expression proteins

description: Table S2 Details of the 414 difference expression proteins
DOI: 10.6084/m9.figshare.23540988
title: Table S2 Details of the 414 difference expression proteins

description: Table S2 Details of the 414 difference expression proteins
DOI: 10.25345/c5rv0d98t
title: MassIVE MSV000092203 - Molecular control of endurance training adaptation in mouse skeletal muscle
title: Skeletal muscle has an enormous plastic potential to adapt to various external and internal perturbations. While morphological changes in endurance-trained muscles are well-described, the molecular underpinnings of training adaptation are poorly understood. We aimed at defining the molecular signature of a trained muscle and unraveling the training status- dependent responses to an acute bout of exercise. Our results reveal that even though at baseline, the transcriptomes of trained and untrained muscles are very similar, training status substantially affects the transcriptional response to an acute challenge, both quantitatively and qualitatively, in part mediated by epigenetic modifications. Furthermore, proteomic changes were elicited by different transcriptional modalities. Finally, transiently activated factors such as the peroxisome proliferator-activated receptor gamma coactivator 1alpha (PGC-1alpha) are indispensable for normal training adaptation. Together, these results provide a molecular framework of the temporal and training status-dependent exercise response that defines muscle plasticity in training.
DOI: 10.6084/m9.figshare.23540979
title: mean_v.grd

description: This data was obtained by Stamps software.
DOI: 10.6084/m9.figshare.23540979.v1
title: mean_v.grd

description: This data was obtained by Stamps software.
DOI: 10.5281/zenodo.7946473
title: Climate Security on Twitter

description: This is a dataset containing IDs of tweets that reflect climate security dialogues on Twitter, from January 2014 to March 2022.
description: This work was carried out with support from the CGIAR Initiative on Climate Resilience, ClimBeR, and the CGIAR Initiative on Fragility, Conflict, and Migration. We would like to thank all funders who supported this research through their contributions to the CGIAR Trust Fund: https://www.cgiar.org/funders/.
DOI: 10.5281/zenodo.7946472
title: Climate Security on Twitter

description: This is a dataset containing IDs of tweets that reflect climate security dialogues on Twitter, from January 2014 to March 2022.
description: This work was carried out with support from the CGIAR Initiative on Climate Resilience, ClimBeR, and the CGIAR Initiative on Fragility, Conflict, and Migration. We would like to thank all funders who supported this research through their contributions to the CGIAR Trust Fund: https://www.cgiar.org/funders/.
DOI: 10.5445/ir/1000159528
title: GLORIA@HEMERA large stratospheric balloon campaign Timmins/Canada August 2022-update: high-resolution version of https://doi.org/10.5445/IR/1000159524

description: Video from GoPro images taken in limb-view during the flight of the GLORIA (Gimballed Limb Observer for Radiance Imaging of the Atmosphere) infrared spectrometer on a stratospheric balloon during the HEMERA measurement campaign from Timmins/Canada in August 2022. Update of https://doi.org/10.5445/IR/1000158826 (now: high-resolution version for download, no black bars on side). High resolution version of https://doi.org/10.5445/IR/1000159524
DOI: 10.6084/m9.figshare.23540895
title: ps_plot_ts_v-dao.mat

description: This data records the cumulative deformation of each period.
DOI: 10.6084/m9.figshare.23540895.v1
title: ps_plot_ts_v-dao.mat

description: This data records the cumulative deformation of each period.
DOI: 10.6084/m9.figshare.23540955
title: ps_mean_v_std.grd

description: Distribution of the standard deviation of the average velocity.
DOI: 10.6084/m9.figshare.23540955.v1
title: ps_mean_v_std.grd

description: Distribution of the standard deviation of the average velocity.
DOI: 10.5281/zenodo.8036936
title: Dataset: Economic and Environmental Barriers of CO2‑Based Fischer−Tropsch Electro-Diesel

description: Dataset for the journal article: Economic and Environmental Barriers of CO2‑Based Fischer−Tropsch Electro-Diesel
DOI: 10.5281/zenodo.8036937
title: Dataset: Economic and Environmental Barriers of CO2‑Based Fischer−Tropsch Electro-Diesel

description: Dataset for the journal article: Economic and Environmental Barriers of CO2‑Based Fischer−Tropsch Electro-Diesel
DOI: 10.25345/c5n29ph3z
title: MassIVE MSV000092204 - GC_2024_zygophyllum_fabafo_nonpolar_fraction
title: GC MS analysis of Di-ethyl ether extract of Zygophyllum fabago from Egypt to detect its non-polar constituents
DOI: 10.6084/m9.figshare.23541069
title: Global dataset with mammal species diet specialization and distribution range

description: Global dataset with mammal species diet specialization and distribution range For each mammal species, are indicated the preferences of type of diet, body mass (g), distribution range (km2) and values of diet specialization index based on the Gini coefficient of inequality. The values of diet preferences for each mammal species, expressed as a percentage, were taken from Wilman et al. 2014. The level of diet specialization was calculated following the methodology described in Morelli et al. 2019, to estimate the degree of diet specialization of each mammal species using the Gini index of inequality.
DOI: 10.5281/zenodo.8037077
title: Dataset for Process design within planetary boundaries: Application to CO2 based methanol production

description: Dataset for the journal article: Process design within planetary boundaries: Application to CO2 based methanol production
DOI: 10.5281/zenodo.8037076
title: Dataset for Process design within planetary boundaries: Application to CO2 based methanol production

description: Dataset for the journal article: Process design within planetary boundaries: Application to CO2 based methanol production
DOI: 10.5519/qd.aroknhm3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (362 records)
DOI: 10.34740/kaggle/dsv/5970219
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5900969
title: Data for Sant Feliu de Llobregat and the ediblecity model

description: The repository includes the data required to run the ediblecity model in Sant Feliu de Llobregat. It includes: A GIS vector layer for land uses. A GIS vector layer for neighbourhoods. It is used in the green per capita indicator. A raster layer with the Sky View Factor, calculated with algorithm 'saga:skyviewfactor' in QGIS. It is used as an input in heat island indicator of the model.
DOI: 10.5281/zenodo.5900970
title: Sky View Factor for Sant Feliu de llobregat

description: Sky View Factor of Sant Feliu de Llobregat (Catalonia, Spain) calculated with algorithm 'saga:skyviewfactor' in QGIS. It is used as an input in heat island indicator in R package 'ediblecity'.
DOI: 10.5281/zenodo.8055427
title: Data for Sant Feliu de Llobregat and the ediblecity model

description: The repository includes the data required to run the ediblecity model in Sant Feliu de Llobregat. It includes: A GIS vector layer for land uses. A GIS vector layer for neighbourhoods. It is used in the green per capita indicator. A raster layer with the Sky View Factor, calculated with algorithm 'saga:skyviewfactor' in QGIS. It is used as an input in heat island indicator of the model.
DOI: 10.34740/kaggle/dsv/5970218
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.8055213
title: Self-Supported Polymeric Ruthenium Complexes as Olefin Metathesis Catalysts in Synthesis of Heterocyclic Compounds

description: Data confirming the structure of the new compounds obtained within the project, published in <em>Catalysts</em> <strong>2022</strong>, <em>12</em>(10), 1087; https://doi.org/10.3390/catal12101087 The research was performed within MAESTRO project and was funded by National Science Centre, Poland, grant number DEC-2019/34/A/ST4/00372.
DOI: 10.5281/zenodo.8055212
title: Self-Supported Polymeric Ruthenium Complexes as Olefin Metathesis Catalysts in Synthesis of Heterocyclic Compounds

description: Data confirming the structure of the new compounds obtained within the project, published in <em>Catalysts</em> <strong>2022</strong>, <em>12</em>(10), 1087; https://doi.org/10.3390/catal12101087 The research was performed within MAESTRO project and was funded by National Science Centre, Poland, grant number DEC-2019/34/A/ST4/00372.
DOI: 10.5281/zenodo.7740660
title: Characterizing the Folding Transition State Ensembles in the Energy Landscape of an RNA Tetraloop - available data.

description: Trajectory file and scripts necessary to generate an ELViM [Oliveira, A. B.; Yang, H.; Whitford, P. C.; Leite, V. B. P. JCTC, 2019, 15, p.6482] projection of the conformational space for the GCAA tetraloop.
DOI: 10.5281/zenodo.7740659
title: Characterizing the Folding Transition State Ensembles in the Energy Landscape of an RNA Tetraloop - available data.

description: Trajectory file and scripts necessary to generate an ELViM [Oliveira, A. B.; Yang, H.; Whitford, P. C.; Leite, V. B. P. JCTC, 2019, 15, p.6482] projection of the conformational space for the GCAA tetraloop.
DOI: 10.57756/4ug776
title: 3D model of a prehistoric vase

description: <p>3D model based on a structured light scan (Artec Space Spider) a 
prehistoric ceramic vase including marker for registration with other 
imaging methods. The vase was reconstructed around an original part. The
 difference between the reconstruction and prehistoric area is visible 
within the image stack.</p>
DOI: 10.57756/ukwuv1
title: Dataset to: Pany-Kucera & Wiltschke-Schrotta (2023): "Die awarenzeitlichen Skelettreste (7.–8. Jh. n. Chr.) aus der
archäologischen Grabung in Bruckneudorf (Burgenland), Fundstelle 1A"

description: <p>Diese Arbeit präsentiert die Basisdaten aus den anthropologischen Untersuchungen der Skelettreste aus der großteils awarenzeitlichen, aber auch spätantik und bronzezeitlich datierten archäologischen Fundstelle Bruckneudorf. Aus über 400 Bestattungen konnten 383 awarenzeitliche Individuen bearbeitet werden, davon 205 Erwachsene und 178 Kinder und Jugendliche. Die Skelette sind großteils gut erhalten. Es sind etwa ein Viertel mehr erwachsene Männer als Frauen bestattet. Die Männer waren im Durchschnitt ca. 166 cm groß und die Frauen ca. 157 cm. Die Frakturfrequenzen am Postkranium sind niedrig, wobei Männer häufiger davon betroffen sind als Frauen. Die meisten Verletzungen sind gut verheilt. Auch Schädelfrakturen sind nicht sehr häufig, es gibt wenige Hinweise auf interpersonelle Gewalt, allerdings waren bei einigen Männern Spuren einer Dekapitation zu sehen. Von Abnützungserscheinungen an der Wirbelsäule sind ca. drei Viertel der über 40-jährigen Individuen betroffen, fast doppelt so viele Männer als Frauen. An einigen Individuen wurden Zeichen von Infektionskrankheiten wie Tuberkulose und Brucellose gefunden. Auch die Kariesfrequenz ist niedrig, lediglich eine erhöhte intravitale Zahnausfallfrequenz und Zahnsteinbildung sind zu beobachten. Mangelzeichen an den Zähnen, vor allem im Alter von fünf Jahren, waren etwas auffällig. Basierend auf den vorliegenden Ergebnissen sind die physischen Belastungszeichen in dieser Gruppe als nicht sehr hoch zu bezeichnen.</p>
DOI: 10.5281/zenodo.8054721
title: Brain MRI Glioma

description: This data set is part of the public development data for the 2023 Automated Universal Classification Challenge (AUC23). The data set concerns the prediction of the world health organization (WHO) subtype of patients with glioma in magnetic resonance imaging (MRI). The data set was previously introduced and described by van der Voort et al. (2021).Data was restructured in compliance with the AUC23 challenge format. Images are 4D tensors: 0: T1-weighted, 1: post-contrast T1-weighted 2: T2-weighted 3: T2-weighted FLAIR Classification labels: 0: WHO grade 2 1: WHO grade 3 2: WHO grade 4 imagesTr (root folder with all patients and studies)<br> ├── whogliomagrade_0289_0000.mha (4D MRI for study 289)<br> ├── whogliomagrade_0505_0000.mha (4D MRI for study 0505)<br> ├── ... Please cite the following data set if you are using the kidney CT abnormality data : van der Voort SR, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Smits M. The Erasmus Glioma Database (EGD): Structural MRI scans, WHO 2016 subtypes, and segmentations of 774 patients with glioma. Data Brief. 2021 Jun 2;37:107191. doi: 10.1016/j.dib.2021.107191. PMID: 34159239; PMCID: PMC8203723.
DOI: 10.5281/zenodo.8054720
title: Brain MRI Glioma

description: This data set is part of the public development data for the 2023 Automated Universal Classification Challenge (AUC23). The data set concerns the prediction of the world health organization (WHO) subtype of patients with glioma in magnetic resonance imaging (MRI). The data set was previously introduced and described by van der Voort et al. (2021).Data was restructured in compliance with the AUC23 challenge format. Images are 4D tensors: 0: T1-weighted, 1: post-contrast T1-weighted 2: T2-weighted 3: T2-weighted FLAIR Classification labels: 0: WHO grade 2 1: WHO grade 3 2: WHO grade 4 imagesTr (root folder with all patients and studies)<br> ├── whogliomagrade_0289_0000.mha (4D MRI for study 289)<br> ├── whogliomagrade_0505_0000.mha (4D MRI for study 0505)<br> ├── ... Please cite the following data set if you are using the kidney CT abnormality data : van der Voort SR, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Smits M. The Erasmus Glioma Database (EGD): Structural MRI scans, WHO 2016 subtypes, and segmentations of 774 patients with glioma. Data Brief. 2021 Jun 2;37:107191. doi: 10.1016/j.dib.2021.107191. PMID: 34159239; PMCID: PMC8203723.
DOI: 10.5285/fe030130-bf84-3b82-e053-6c86abc007cd
title: Discrete water samples for biogeochemical parameters collected in the Belize River, tributaries, estuary and surrounding coastal ocean - Belize, 2018 V2.

description: This is an update to a previous version to include additional parameters (Total Alkalinity (TA), Dissolved Inorganic Carbon (DIC), δ13C-DIC). Data were collected at the end of October into the beginning of November 2018 (30/10/2018 – 11/11/2018), within the Belize River, tributaries and surrounding coastal zone. Coastal sampling focused on trying to capture the influence of the Belize River in the coastal zone and the expected flow of river water once in the coastal zone. Data were collected for a range of biogeochemical parameters – dissolved organic carbon (DOC), Chlorophyll, Nutrients, Coloured Dissolved Organic Matter (CDOM) and Fluorescing Dissolved Organic Matter (FDOM), Total Alkalinity (TA), Dissolved Inorganic Carbon (DIC) and δ13C-DIC. TA, DIC and δ13C-DIC were collected at same time but analysed after the initial data submission. Data were collected as part of the Commonwealth Marine Economies Programme Belize (CMEP Belize). Additional data were collected to enhance this dataset in January and October 2019.
DOI: 10.5519/qd.x5vq7okb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4676 records)
DOI: 10.5285/fdb4b48b-8004-258f-e053-6c86abc00025
title: Discrete water samples for biogeochemical parameters collected in the Belize River and tributaries - 2019 V2.

description: This is an update to a previous version to include additional parameters (Total Alkalinity (TA), Dissolved Inorganic Carbon (DIC), δ13C-DIC). Sampling focused within different land uses and along tributaries feeding into the Belize River. Data were collected to supplement data collected in October/November 2018. Samples were collected in January 2019 and October 2019. Data were collected for dissolved organic carbon (DOC), Chlorophyll (January only), Nutrients, Coloured Dissolved Organic Matter (CDOM), Fluorescing Dissolved Organic Matter (FDOM), Total Alkalinity (TA), Dissolved Inorganic Carbon (DIC) and δ13C-DIC. TA, DIC and δ13C-DIC were collected at same time but analysed after the initial data submission. Data were collected as part of the Commonwealth Marine Economies Programme Belize (CMEP Belize).
DOI: 10.6084/m9.figshare.23541186
title: Breast-Conserving Therapy Has Better Prognosis for Tumors in the Central and Nipple Portion of Breast Compared with Mastectomy A SEER Data-Based Study

description: Breast-Conserving Therapy Has Better Prognosis for Tumors in the Central and Nipple Portion of Breast Compared with Mastectomy A SEER Data-Based Study
DOI: 10.6084/m9.figshare.23538600
title: Data_manuscript_1_Arjunanetal

description: This daset comprises of the data used in the manuscript entitled " Stomatal, hydraulic and leaf browning responses to experimental drought in Australian grass species" - Arjunan et al <br> <br>
DOI: 10.6084/m9.figshare.21912834
title: Figure 2 Underlying Data and Code

description: Datafile: "Figure 2 Blinded Scoring Results.xlsx" contains the annotated and unblinded results of a blinded, qualitative catagory-based scoring of the severity of mitochondria aggregation in a series of microscopy images acquired in the indirect flight muscles in 3-5 day old flies from each of the indicated genotypes. Original code: "2022_06_24 code.Rmd" contains an R markdown notebook used in the analysis of the scored qualitative data. Results: "Summary.csv" and "ChiSqSummary.csv" contain exported files from the data analysis. Resulting graph: "Mitoquantifications.TIFF"
DOI: 10.6084/m9.figshare.21912834.v1
title: Figure 2 Underlying Data and Code

description: Datafile: "Figure 2 Blinded Scoring Results.xlsx" contains the annotated and unblinded results of a blinded, qualitative catagory-based scoring of the severity of mitochondria aggregation in a series of microscopy images acquired in the indirect flight muscles in 3-5 day old flies from each of the indicated genotypes. Original code: "2022_06_24 code.Rmd" contains an R markdown notebook used in the analysis of the scored qualitative data. Results: "Summary.csv" and "ChiSqSummary.csv" contain exported files from the data analysis. Resulting graph: "Mitoquantifications.TIFF"
DOI: 10.5281/zenodo.8055435
title: Code and Datasets for "A simple mechanism for collective decision-making in the absence of payoff information"

description: This repository contains R code and datasets used for analyses in the paper: "A simple mechanism for collective decision-making in the absence of payoff information" Published in <em>Proceedings of the National Academy of Sciences of the United States of America</em> (PNAS) in 2023 by Daniele Carlesso, Justin M. McNab, Christopher J. Lustri, Simon Garnier, and Chris. R. Reid. <pre><code>✓ Ensure that all files are in the same folder for the code to run properly. ✓ the repository also includes a summary HTML file for easier visualisation. </code></pre> Datasets: <pre><code>• chain_growth.csv • cumsum_df.csv • growth_data.csv • GrowthMP.csv • JL_chaingrowth.csv • joining_distance.csv • leave_10.csv • leaving_positions.csv • timespent.csv • traffic_mean.csv </code></pre> Code: <pre><code>• Code.Rmd </code></pre> Markdown summary: <pre><code>• Code.html </code></pre>
DOI: 10.5281/zenodo.8055434
title: Code and Datasets for "A simple mechanism for collective decision-making in the absence of payoff information"

description: This repository contains R code and datasets used for analyses in the paper: "A simple mechanism for collective decision-making in the absence of payoff information" Published in <em>Proceedings of the National Academy of Sciences of the United States of America</em> (PNAS) in 2023 by Daniele Carlesso, Justin M. McNab, Christopher J. Lustri, Simon Garnier, and Chris. R. Reid. <pre><code>✓ Ensure that all files are in the same folder for the code to run properly. ✓ the repository also includes a summary HTML file for easier visualisation. </code></pre> Datasets: <pre><code>• chain_growth.csv • cumsum_df.csv • growth_data.csv • GrowthMP.csv • JL_chaingrowth.csv • joining_distance.csv • leave_10.csv • leaving_positions.csv • timespent.csv • traffic_mean.csv </code></pre> Code: <pre><code>• Code.Rmd </code></pre> Markdown summary: <pre><code>• Code.html </code></pre>
DOI: 10.5517/ccdc.csd.cc2fmdq6
title: CCDC 2252978: Experimental Crystal Structure Determination

description: Related Article: Nora M. Kreienborg, Felix Otte, Carsten Strohmann, Christian Merten|2023|Phys.Chem.Chem.Phys.(PCCP)|25|15110|doi:10.1039/D3CP01661G
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.cc2dkkj2
title: CCDC 2221414: Experimental Crystal Structure Determination

description: Related Article: Xingchen Hu, Yuntian Xiao, Luguang Qi, Yunhe Bai, Ying Sun, Yang Ye, Chuang Xie|2023|CrystEngComm|25|3445|doi:10.1039/D3CE00128H
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.cc2fq8q5
title: CCDC 2255737: Experimental Crystal Structure Determination

description: Related Article: Meryem Çıtlakoğlu, Zuhal Yolcu|2023|Inorg.Chim.Acta|555|121605|doi:10.1016/j.ica.2023.121605
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.cc2fs73l
title: CCDC 2257609: Experimental Crystal Structure Determination

description: Related Article: Ryuya Miyazaki, Kei Muto, Junichiro Yamaguchi|2023|Chem.Commun.|59|7419|doi:10.1039/D3CC02086J
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.cc2fs79s
title: CCDC 2257615: Experimental Crystal Structure Determination

description: Related Article: Ryuya Miyazaki, Kei Muto, Junichiro Yamaguchi|2023|Chem.Commun.|59|7419|doi:10.1039/D3CC02086J
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.