cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16802497
title: Power consumption with different design- Centrifuge project

description: POwer consumption RAW data files of the project "Design, 3D-printing, and characterisation of a low-cost, open-source centrifuge adaptor for separating large volume clinical blood samples"
DOI: 10.6084/m9.figshare.16802497.v1
title: Power consumption with different design- Centrifuge project

description: POwer consumption RAW data files of the project "Design, 3D-printing, and characterisation of a low-cost, open-source centrifuge adaptor for separating large volume clinical blood samples"
DOI: 10.5281/zenodo.5553922
title: DIALLS Dataset of evaluations of Open Educational Resources – The Cultural Literacy Learning Programme resources

description: This dataset was used to support the development of the DIALLS project’s (Dialogue and Argumentation for cultural Literacy Learning in Schools, www.dialls2020.eu/) teaching and learning materials as open access online educational resources (OER). It consists of quantitative data (i) evaluating the three OER (i.e., professional development (PD) materials, lesson plans (LP), Scale of Progression for Cultural Literacy Learning (SPCLL)) and (ii) assessing the discussion forum as a platform for building a DIALLS community of practice. <em> N</em> = 140 teachers from Germany, UK, Portugal, and Israel participated in the surveys over the course of six months (September 2020 to February 2021). For each country, there are four datasets from the surveys. For data collection, the surveys have been translated into the partner countries’ language, open feedback is translated from the respective languages and now in English (i.e., Translation from German, English, Portuguese, Hebrew). Based on Kirkpatrick and Kirkpatrick’s (2006) evaluation model and the Value Creation Framework (VCF) (Wenger et al., 2011), the surveys have been developed and the discussion forum designed. From this, items regarding the materials’ application, content, design, and value were included in the assessment of the quality of PD materials, lesson plans, and SPCLL. The quality of the discussion forum was assessed regarding its motivation, participation, topic, and value. Considering the context, the dataset is relevant to the following areas of research: Communities of Practice, OER, Teachers’ professional development. The dataset is organised in 1 file (merged quantitative data from all four surveys and all four partners). A detailed description of the dataset can be accessed in a PDF file. Further, the provided codebook in the "variable view window" in SPSS explains the variables and values.
DOI: 10.5258/soton/d1998
title: Dataset: Short Communication: A simple and accurate method of measuring the Zeta-Potential of microfluidic channels

description: This dataset supports the publication in Electrophoresis entitled 'Short Communication: A simple and accurate method of measuring the Zeta-Potential of microfluidic channels'. This is the original dataset used to create Figures 2B, 2C and Figure 3. It also contains the uncertainty estimations of the measured zeta potential displayed in Figure 3 computed from the original dataset for each of the conductivity solutions used in the work: 1.5 mS/m, 5.2 mS/m and 11.4 mS/m.
DOI: 10.6084/m9.figshare.16786606
title: S02

description: Data of Subject_02
DOI: 10.6084/m9.figshare.16786606.v4
title: S02

description: Data of Subject_02
DOI: 10.5281/zenodo.5566548
title: LFP and single-unit data published in Olafsdottir, Carpenter and Barry (2016) Nature Neuroscience 19: 792-794

description: <strong>OVERVIEW</strong> All data are recorded using tetrodes - eight in MEC (deep layers) and eight in hippocampus - and the DACQ system from Axona Ltd For all recording files (except R2142), tetrodes 1-8 are in MEC (for R2142 it's the other way around) Filenames indicate the recording date, animal ID and whether the animal was running on the Z-track ('track1'), resting ('sleepPOST'), or foraging in the open field ('Training') - e.g. 20151201_R2337_track1 indicates that this file is from animal R2337 running on the Z-track on 1st December 2015 Rest recordings were recorded immediately after animals were exposed to the track; foraging was carried out in a 1m square arena All files ending with .cut have spike sorted data - e.g. 20151127_R2337_track1_11.cut, contains the spike sorted data for tetrode 11; files ending with .pos contain position data (sampled at 50Hz); files ending with .egf contain LFP data (sampled at 4.8kHz); files ending with .set contain the header information; files ending with a number contain tetrode data - e.g. '20151127_R2337_track1.1' contains tetrode data from tetrode 1; and some folder have .clu files (the output of KlustaKwik), but these should be ignored as they are superseded by the .cut files <br> <strong>RAT SPECIFIC NOTES</strong> R2142 &gt;&gt;2014-08-06 Screening, Track1 and SleepPost present R2192 &gt;&gt;2104-09-17 Track1 and SleepPost sessions present &gt;&gt;2014-10-01 Note this animal has a typo in the file name for the track session, indicating the wrong date - i.e. 20140110 should be 20141001, as this recording was made on 1st October 2014 NOT 10th January 2014. Note that this digit switch applies to all files for that session (i.e. track) but not to the other files from that day (i.e. sleepPost) R2217 &gt;&gt;2014-12-13 Screening, Track1 and SleepPost present &gt;&gt;2014-12-18 Screening, Track1 and SleepPost present <br> R2335 &gt;&gt;2015-10-26 Screening, Track1 and SleepPost present<br> R2336 &gt;&gt;2015-11-01 Track1 and SleepPost present &gt;&gt;2015-11-04 Track1 and SleepPost present R2337 &gt;&gt;2015-11-27 Track1 and SleepPost present &gt;&gt;2015-12-01 Track1 and SleepPost present
DOI: 10.5281/zenodo.5566547
title: LFP and single-unit data published in Olafsdottir, Carpenter and Barry (2016) Nature Neuroscience 19: 792-794

description: <strong>OVERVIEW</strong> All data are recorded using tetrodes - eight in MEC (deep layers) and eight in hippocampus - and the DACQ system from Axona Ltd For all recording files (except R2142), tetrodes 1-8 are in MEC (for R2142 it's the other way around) Filenames indicate the recording date, animal ID and whether the animal was running on the Z-track ('track1'), resting ('sleepPOST'), or foraging in the open field ('Training') - e.g. 20151201_R2337_track1 indicates that this file is from animal R2337 running on the Z-track on 1st December 2015 Rest recordings were recorded immediately after animals were exposed to the track; foraging was carried out in a 1m square arena All files ending with .cut have spike sorted data - e.g. 20151127_R2337_track1_11.cut, contains the spike sorted data for tetrode 11; files ending with .pos contain position data (sampled at 50Hz); files ending with .egf contain LFP data (sampled at 4.8kHz); files ending with .set contain the header information; files ending with a number contain tetrode data - e.g. '20151127_R2337_track1.1' contains tetrode data from tetrode 1; and some folder have .clu files (the output of KlustaKwik), but these should be ignored as they are superseded by the .cut files <br> <strong>RAT SPECIFIC NOTES</strong> R2142 &gt;&gt;2014-08-06 Screening, Track1 and SleepPost present R2192 &gt;&gt;2104-09-17 Track1 and SleepPost sessions present &gt;&gt;2014-10-01 Note this animal has a typo in the file name for the track session, indicating the wrong date - i.e. 20140110 should be 20141001, as this recording was made on 1st October 2014 NOT 10th January 2014. Note that this digit switch applies to all files for that session (i.e. track) but not to the other files from that day (i.e. sleepPost) R2217 &gt;&gt;2014-12-13 Screening, Track1 and SleepPost present &gt;&gt;2014-12-18 Screening, Track1 and SleepPost present <br> R2335 &gt;&gt;2015-10-26 Screening, Track1 and SleepPost present<br> R2336 &gt;&gt;2015-11-01 Track1 and SleepPost present &gt;&gt;2015-11-04 Track1 and SleepPost present R2337 &gt;&gt;2015-11-27 Track1 and SleepPost present &gt;&gt;2015-12-01 Track1 and SleepPost present
DOI: 10.6084/m9.figshare.16802509
title: Cherry blossoms

description: Historical Series of Phenological data for Cherry Tree Flowering at Kyoto City.
DOI: 10.5281/zenodo.2477372
title: SSR data of Betula humilis

description: The file contains microsatellite data of the shrub birch <em>Betula humilis</em>, used in the paper: Bona, A., Kulesza, U., Jadwiszczak, K. A. (2019). Clonal diversity, gene flow and seed production in endangered populations of <em>Betula humilis</em> Schrk. <em>Tree Genetics & Genomes</em>, <em>15</em>(4), 1-12. DOI: 10.1007/s11295-019-1357-2
DOI: 10.5281/zenodo.2477371
title: SSR data of Betula humilis

description: The file contains microsatellite data of the shrub birch <em>Betula humilis</em>, used in the paper: Bona, A., Kulesza, U., Jadwiszczak, K. A. (2019). Clonal diversity, gene flow and seed production in endangered populations of <em>Betula humilis</em> Schrk. <em>Tree Genetics & Genomes</em>, <em>15</em>(4), 1-12. DOI: 10.1007/s11295-019-1357-2
DOI: 10.20351/29gd19840616
title: ARECES-VIII Cruise, RV García del Cid

description: ARECES-VIII Cruise (29GD19840616) carried out on the Research Vessel García del Cid in 1984.
DOI: 10.20351/29gd19850601
title: FRONTS-06-85 Cruise, RV García del Cid

description: FRONTS-06-85 Cruise (29GD19850601) carried out on the Research Vessel García del Cid in 1985.
DOI: 10.25646/9142
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.23728/b2share.1c42a67a73e9424b8192ba65c81077e1
title: Dataset of drug reproposing for SARS-CoV-2 main protease

description: This repository contains data and simulation models from the paper: "Thermodynamic and structural insights into the repurposing of drugs that bind to SARS-CoV-2 main protease" Shunzhou Wan, Agastya P. Bhati, Alexander D. Wade, Dario Alfè and Peter V. Coveney Description of the attached files: Molecular models for repurposable drugs to the main protease of SARS-CoV-2, using their individual x-ray structures (set-1-models.tar), or using a common x-ray structure (set-2-models.tar). The tarball files contain the Amber-format topology and pdb files. The parameter file (drug-parameters.tar) contains Amber-format .frcmod files, along with .mol2.
DOI: 10.23729/8a847d17-dc01-4d2a-b267-144976c2d0ec
title: Goettingen Minipig Jaw

description: Göttingen minipig jaw defect study, where the defect was filled with biomaterial of two different types (+ and - calcium phosphate composite). The study is in manuscript phase, not yet published. Preview dataset found at https://doi.org/10.23729/c42936ca-b5c9-4355-a63e-93198d9581f4 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.6084/m9.figshare.13516487
title: Xibalbá: Underground Temperature Database

description: Database containing the borehole temperature profiles used in the publication "Cuesta-Valero F.J., García-García A., Beltrami H., González-Rouco J.F., and García-Bustamante E. (2020). Long-Term Global Ground Heat Flux and Continental Heat Storage from Geothermal Data. Clim. Past Discuss. [preprint], doi:10.5194/cp-2020-65"<br>
DOI: 10.6084/m9.figshare.13516487.v3
title: Xibalbá: Underground Temperature Database

description: Database containing the borehole temperature profiles used in the publication "Cuesta-Valero F.J., García-García A., Beltrami H., González-Rouco J.F., and García-Bustamante E. (2020). Long-Term Global Ground Heat Flux and Continental Heat Storage from Geothermal Data. Clim. Past Discuss. [preprint], doi:10.5194/cp-2020-65"<br>
DOI: 10.5517/cc13x81b
title: CCDC 1040051: Experimental Crystal Structure Determination

description: Related Article: Falk Olbrich|2014|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2305kw
title: CCDC 1936587: Experimental Crystal Structure Determination

description: Related Article: Hoseop Yun|2019|CSD Communication|||
description: Related Article: DingXi Li, Yeji Park, Woojin Yoon, Hoseop Yun, Jaesook Yun|2019|Org.Lett.|21|9699|doi:10.1021/acs.orglett.9b03853
DOI: 10.5517/ccdc.csd.cc23tsxn
title: CCDC 1961212: Experimental Crystal Structure Determination

description: Related Article: Suresh Gangadevi|2019|CSD Communication|||
DOI: 10.48370/ofd/p4hk4a
title: Neoërysiphe galeopsidis (DC.) U. Braun, 461

description: Fungarium Micromycetes
DOI: 10.5517/ccdc.csd.cc23tth8
title: CCDC 1961230: Experimental Crystal Structure Determination

description: Related Article: Silvia Locarno, Simona Argentiere, Alessandro Ruffoni, Daniela Maggioni, Raffaella Soave, Raffaella Bucci, Emanuela Erba, Cristina Lenardi, Maria Luisa Gelmi, Francesca Clerici|2020|RSC Advances|10|9964|doi:10.1039/C9RA10981A
description: Related Article: Silvia Locarno, Simona Argentiere, Alessandro Ruffoni, Daniela Maggioni, Raffaella Soave, Sara Pellegrino, Emanuela Erba, Cristina Lenardi, Maria Luisa Gelmi, Francesca Clerici, |2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27mng0
title: CCDC 2074472: Experimental Crystal Structure Determination

description: Related Article: Hui-Bin Zhang, Kuppusamy Kanagaraj, Julius Rebek, Yang Yu|2021|J.Org.Chem.|86|8873|doi:10.1021/acs.joc.1c00794
DOI: 10.5517/ccdc.csd.cc281tgm
title: CCDC 2087120: Experimental Crystal Structure Determination

description: Related Article: Pedro De Jesús Cruz, Evan T. Crawford, Shubin Liu, Jeffrey S. Johnson|2021|J.Am.Chem.Soc.|143|16264|doi:10.1021/jacs.1c07702
DOI: 10.5517/ccdc.csd.cc284c71
title: CCDC 2089562: Experimental Crystal Structure Determination

description: Related Article: Ilkay Gumus, Muhammed Aslan|2021|Polyhedron|210|115496|doi:10.1016/j.poly.2021.115496
DOI: 10.5517/ccdc.csd.cc284cmf
title: CCDC 2089574: Experimental Crystal Structure Determination

description: Related Article: Ilkay Gumus, Muhammed Aslan|2021|Polyhedron|210|115496|doi:10.1016/j.poly.2021.115496
DOI: 10.5517/ccdc.csd.cc2850fx
title: CCDC 2090188: Experimental Crystal Structure Determination

description: Related Article: Bing Zu, Yonghong Guo, Chuan He|2021|J.Am.Chem.Soc.|143|16302|doi:10.1021/jacs.1c08482
DOI: 10.5517/ccdc.csd.cc28cncp
title: CCDC 2096572: Experimental Crystal Structure Determination

description: Related Article: Emily R. Wearing, Dominique E. Blackmun, Marc R. Becker, Corinna S. Schindler|2021|J.Am.Chem.Soc.|143|16235|doi:10.1021/jacs.1c07523
DOI: 10.25345/c5s56n
title: MassIVE MSV000088228 - Hyperosmolarity adversely impacts heterologous secretory protein synthesis by Yarrowia lipolytica
title: In this research we were interested in answering a question whether subjecting Y. lipolytica strain overproducing recombinant secretory protein (rs-Prot) to a specific, pre-optimized stress factor may enhance synthesis of the target macromolecule. Increased osmolarity (3 Osm/kg) was the primary stress factor studied here, implemented alone or in combination with decreased temperature (20C), known to promote synthesis of rs-Prots. The treatments were executed in batch bioreactor cultures, and the cellular reaction was studied in terms of the culture progression, gene expression and global proteomic profiles, to get insight into molecular bases underlying awaken reaction. First of all, we observed that hyperosmolarity executed by high sorbitol concentration does not enhance synthesis of the rs-Prot, but increases its transcription. Expectedly, hyperosmolarity induced synthesis of polyols, at the expense of citric acid and growth, which was severely limited. A number of stress-related genes were upregulated, including several HSPs, AKRs, as observed at transcriptomics and proteomics level. Interestingly, the accompanying concerted downregulation of central carbon metabolism, incl. glycolysis, TCA and fatty acid synthesis, highlighted redirection of carbon fluxes. Elevated abundance of HSPs and osmolytes did not outbalance severe limitation of protein synthesis, marked by orchestrated downregulation of translation (EF-gamma; a number of aa-tRNA synthetases), amino acids biosynthesis and ribosome biogenesis in response to hyperosmolarity. Altogether we ultimately settled that increased osmolarity is not beneficial for rs-Prot synthesis in Y. lipolytica, even though some elements of the response could assist this process. Insight into global changes in the yeast proteome under the treatments is provided.
DOI: 10.25405/data.ncl.13637684
title: Environmental antimicrobial resistance is associated with faecal pollution in Central Thailand’s coastal aquaculture region

description: This folder contains data underpinning the publication Environmental antimicrobial resistance is associated with faecal pollution in Central Thailand's aquaculture region.
DOI: 10.15468/aecjub
title: Synopsis of the distribution of macroalgae in Tanzania along the western part of the Indian Ocean

description: Macroalgae, also known as seaweeds, are macroscopic, multicellular, marine algae often attached to the ocean floor or hard substratum. They include green (Chlorophyta), red (Rhodophyta), and brown (Phaeophyceae) algae. Macroalgae are essential nursery habitats for fisheries and other marine species and a source of food for marine animals. They play a significant role in capturing carbon and producing oxygen. Macroalgae are currently cultivated in large open ponds or lagoons to yield food, food additives, and phycocolloids used to thicken, solidify, gell, stabilise, emulsify and bind in pharmaceuticals, cosmetics, food and chemical industries. Thus, they are essential for environmental sustainability, the national economy, and livelihood in the World. Seaweeds started to gain economic importance in Tanzania as early as the 1930s when the local coastal communities harvested the wild species of Eucheumatoids for export to Europe and the USA. By the 1950s, about 4,000 tons of dry seaweed were exported mainly to the USA, France and Denmark. This trade continued gaining importance, but it collapsed in the 1970s due to the depletion of the wild stock. The collapse prompted researchers at the University of Dar es Salaam to find alternative sources, work that started in the late 1970s to 1980s pioneered by Prof. Keto Mshigeni. The department of Botany curated and stored the seaweed specimens collected from research in its herbarium. Data from these specimens contain valuable information that can support evidence-based decisions on conservation, farming, and industry of macroalgae and other marine species. This valuable resource was locked at the Dar es Salaam Herbarium (DSM) of the University of Dar es Salaam as annotated herbarium sheets for more than four centuries is now openly available for wide use. The macroalgal dataset provided here consists of distribution records of 172 species of the Phylum Chlorophyta, Ochrophyta and Rhodophyta of the kingdoms Plantae (80%) and Chromista (20%). Approximately 17% (55) of the records represent the Rhodomelaceae, a large family of filamentous red algae, 9% (30) the Dictyotaceae, a brown agal family and 7% (25) the brown algal family Sargassaceae. Other families in the dataset include Acinetosporaceae, Chordariaceae and Scytosiphonaceae. The dataset covers records collected from different sites in Tanzania mainland and Zanzibar along the western part of the Indian Ocean (from Lindi in the south to Tanga in the north, and Unguja, Pemba and Mafia islands). In addition to the collections from Tanzania, the herbarium holds 36 specimens collected from North Carolina, Hawaii and Canada.
DOI: 10.6084/m9.figshare.14784588.v1
title: data .sav

description: DATA SPSS
DOI: 10.6084/m9.figshare.14784588
title: data .sav

description: DATA SPSS
DOI: 10.6084/m9.figshare.14784588.v2
title: data .sav

description: DATA SPSS
DOI: 10.20351/29gd19900306
title: FE-90 Cruise, RV García del Cid

description: FE-90 Cruise (29GD19900306) carried out on the Research Vessel García del Cid in 1990.
DOI: 10.6084/m9.figshare.15131801.v2
title: Distant metastases in squamous cell carcinoma of the pharynx and larynx: a population-based DAHANCA study

description: In head and neck cancer, distant metastases may be present at diagnosis (M1) or occur after treatment (DM). It is unknown whether M1 and DM follow the same clinical development and share prognosis, as population-based studies regarding outcomes are scarce. Therefore, we investigated the incidence, location of metastases and overall survival of patients with M1 and DM. Patients diagnosed with squamous cell carcinoma of the pharynx and larynx in Denmark 2008–2017 were identified in the Danish Head and Neck Cancer Group (DAHANCA) database. We identified 7300 patients, of whom 197 (3%) had M1 and 498 (8%) developed DM during follow-up. The 5-year cumulative incidence of DM was 8%. 1- and 2-year overall survival for DM (27% and 13%) vs. M1 (28% and 9%) were equally poor. There was no significant difference in location of metastases for M1 and DM and the most frequently involved organs were lungs, bone, lymph nodes and liver, in descending order. In oropharyngeal squamous cell carcinomas, the location of metastases did not differ by p16-status. For p16-positive patients, 21% of DM occurred later than three years of follow-up compared to 7% of p16-negative patients. Incidence, location of metastases and prognosis of primary metastatic (M1) or post-treatment metastatic (DM) disease in pharyngeal and laryngeal squamous cell carcinoma are similar in this register-based study
DOI: 10.6084/m9.figshare.15131801.v1
title: Distant metastases in squamous cell carcinoma of the pharynx and larynx: a population-based DAHANCA study

description: In head and neck cancer, distant metastases may be present at diagnosis (M1) or occur after treatment (DM). It is unknown whether M1 and DM follow the same clinical development and share prognosis, as population-based studies regarding outcomes are scarce. Therefore, we investigated the incidence, location of metastases and overall survival of patients with M1 and DM. Patients diagnosed with squamous cell carcinoma of the pharynx and larynx in Denmark 2008–2017 were identified in the Danish Head and Neck Cancer Group (DAHANCA) database. We identified 7300 patients, of whom 197 (3%) had M1 and 498 (8%) developed DM during follow-up. The 5-year cumulative incidence of DM was 8%. 1- and 2-year overall survival for DM (27% and 13%) vs. M1 (28% and 9%) were equally poor. There was no significant difference in location of metastases for M1 and DM and the most frequently involved organs were lungs, bone, lymph nodes and liver, in descending order. In oropharyngeal squamous cell carcinomas, the location of metastases did not differ by p16-status. For p16-positive patients, 21% of DM occurred later than three years of follow-up compared to 7% of p16-negative patients. Incidence, location of metastases and prognosis of primary metastatic (M1) or post-treatment metastatic (DM) disease in pharyngeal and laryngeal squamous cell carcinoma are similar in this register-based study
DOI: 10.20351/29gd19910524
title: FE-91 Cruise, RV García del Cid

description: FE-91 Cruise (29GD19910524) carried out on the Research Vessel García del Cid in 1991.
DOI: 10.34740/kaggle/dsv/2701721
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25828/gqnk-6t92
title: South African Lockdown Smoking Survey 2020
DOI: 10.34740/kaggle/dsv/2701753
title: 2021 World Population (updated daily)