cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15480/336.3411
title: A dataset combining microcompression and nanoindentation data from finite element simulations of nanoporous metals

description: Nanoporöse Metalle sind aufgrund ihrer komplexen Mikrostruktur prädestiniert für die Entwicklung von Methoden, die die Physik, Daten und maschinelles Lernen verknüpfen. Sie ermöglichen eine kontinuierliche Einstellung der relativen Dichte, der Ligamentgröße und der Konnektivität über große Bereiche. Diese mikrostrukturellen Parameter haben einen großen Einfluss auf die makroskopischen mechanischen Eigenschaften. Dies macht diese Materialklasse zu einem idealen Kandidaten für die grundlegende Untersuchung von Methoden und die Entwicklung von Strategien für die Reduktion der Dimensionalität als Grundlage für die weitergehende Analyse und Visualisierung der zugrundeliegenden Struktur-Eigenschaftsbeziehungen. Effiziente Techniken der Finite-Elemente-Balkenmodellierung wurden genutzt, um ~200 Datensätze für makroskopische Kompression und Nanoindentation von offenporigen Nanoschäumen zu generieren. Damit steht eine Datenbasis zur Verfügung, die auf eine konsistente Einstellung der strukturellen und mechanischen Eigenschaften auf der Mikroskala aufbaut und Daten für das zugeordnete elastisch-plastische makroskopische Kompressionsverhalten sowie der Härte bereitstellt. Es wurden Ligamentgeometrien für zwei unterschiedlichen relativen Dichten ausgewählt, für die die strukturelle Randomisierung, die Konnektivitätsdichte, die Fließspannung und die Verfestigung zufällig in großen Bereichen variiert wurden. Diese Datenbasis ermöglicht die Ableitung der Struktur-Eigenschaftsbeziehungen für nanoporöse Metalle mit Hilfe der Dimensionalitätsreduktion, Data-Mining und maschinellem Lernen.
description: Nanoporous metals with their complex microstructure represent an ideal candidate for method developments that combine physics, data and machine learning. They allow to tune the solid fraction, ligament size and connectivity density within a large range. These microstructural parameters have a large impact on the macroscopic mechanical properties. This makes this class of materials an ideal science case for the development of strategies for dimensionality reduction, supporting the analysis and visualization of the underlying structure-property relationships. Efficient finite element beam modeling techniques are used to generate ~200 data sets for macroscopic compression and nanoindentation of open pore nanofoams. A data base is provided that uses consistent settings of structural and mechanical properties on the microscale for which the elastic-plastic macroscopic compression behavior and the hardness is predicted. Ligament geometries of two different initial solid fractions are chosen, for which the structural randomization, the connectivity density, the yield stress and the work hardening rate are randomly varied in large ranges. This data base allows deriving the microstructure-properties relationships of nanoporous metals by means of dimensionality reduction, data mining and machine learning.
DOI: 10.5281/zenodo.4293426
title: Daily ocean bottom pressure anomalies 2007-2009 from global numerical models

description: Data supplement to: Schindelegger, M., Harker, A. A., Ponte, R. M., Dobslaw, H., & Salstein, D. A. (2021). Convergence of daily GRACE solutions and models of submonthly ocean bottom pressure variability. <em>Journal of Geophysical Research: Oceans</em>, 126, e2020JC017031. https://doi.org/10.1029/2020JC017031 <strong>Contents:</strong> Daily ocean bottom pressure anomalies over 2007-2009 obtained from two global forward simulations: <strong>DEBOT</strong> (<em>David Einspigel Barotropic Ocean Tide Model</em>): 1/3° horizontal grid spacing, single-layer model <strong>MITgcm LLC270</strong> (<em>Massachusetts Institute of Technology general circulation model, Lat-Lon-Cap 270</em>): nominal 1/3° horizontal grid spacing, 50 vertical layers Common specifications: Yearly files (<em>yyyy</em>) for each model run (<em>DEBOT_OBP_n180_yyyy.nc</em>, <em>LLC270_OBP_n180_yyyy.nc</em>) Temporal mean 2007-2009 reduced Daily fields centered at 12 UTC Units: cm of equivalent water height Data given on regular 1° grid Synthesized from spherical harmonic expansion truncated at degree 180 (<em>n180</em>) Degree 1 terms: included Static atmospheric contribution to bottom pressure: included Atmospheric forcing: ERA-Interim (6-hourly) Contact: M. Schindelegger (schindelegger@igg.uni-bonn.de)
DOI: 10.5281/zenodo.4293425
title: Daily ocean bottom pressure anomalies 2007-2009 from global numerical models

description: Data supplement to: Schindelegger, M., Harker, A. A., Ponte, R. M., Dobslaw, H., & Salstein, D. A. (2021). Convergence of daily GRACE solutions and models of submonthly ocean bottom pressure variability. <em>Journal of Geophysical Research: Oceans</em>, 126, e2020JC017031. https://doi.org/10.1029/2020JC017031 <strong>Contents:</strong> Daily ocean bottom pressure anomalies over 2007-2009 obtained from two global forward simulations: <strong>DEBOT</strong> (<em>David Einspigel Barotropic Ocean Tide Model</em>): 1/3° horizontal grid spacing, single-layer model <strong>MITgcm LLC270</strong> (<em>Massachusetts Institute of Technology general circulation model, Lat-Lon-Cap 270</em>): nominal 1/3° horizontal grid spacing, 50 vertical layers Common specifications: Yearly files (<em>yyyy</em>) for each model run (<em>DEBOT_OBP_n180_yyyy.nc</em>, <em>LLC270_OBP_n180_yyyy.nc</em>) Temporal mean 2007-2009 reduced Daily fields centered at 12 UTC Units: cm of equivalent water height Data given on regular 1° grid Synthesized from spherical harmonic expansion truncated at degree 180 (<em>n180</em>) Degree 1 terms: included Static atmospheric contribution to bottom pressure: included Atmospheric forcing: ERA-Interim (6-hourly) Contact: M. Schindelegger (schindelegger@igg.uni-bonn.de)
DOI: 10.6084/m9.figshare.14458836
title: Supplementary material to A new country record of Raochestes cangyuanensis Wu, Suwannapoom, Xu, Murphy & Che, 2019 and additional record of Kurixalus yangi Yu, Hui, Rao & Yang, 2018 (Anura: Rhacophoridae: Rhacophorinae) from India

description: Sequences used for the identification of Raochestes cangyuanensis and Kurixalus yangi and genetic distances between sequences.
DOI: 10.6084/m9.figshare.14458836.v1
title: Supplementary material to A new country record of Raochestes cangyuanensis Wu, Suwannapoom, Xu, Murphy & Che, 2019 and additional record of Kurixalus yangi Yu, Hui, Rao & Yang, 2018 (Anura: Rhacophoridae: Rhacophorinae) from India

description: Sequences used for the identification of Raochestes cangyuanensis and Kurixalus yangi and genetic distances between sequences.
DOI: 10.6084/m9.figshare.14459244
title: Risk of bias assessments for Cochrane Review CD013668

description: Full 'Risk of bias' assessments for each study (including the evidence used to justify ratings) can be found in the tables for the Cochrane Review:<br>Witt KG, Hetrick SE, Rajaram G, Hazell P, Taylor Salisbury TL, Townsend E, Hawton K.Psychosocial interventions for self-harm in adults. Cochrane Database of Systematic Reviews 2021, Issue 4. Art. No.: CD013668. DOI: 10.1002/14651858.CD013668.pub2.
DOI: 10.5281/zenodo.4707193
title: SecureIoT Datasets

description: LUXAI in Collaboration with ISPRINT and the CC2U solution offer a valuable portfolio of 11 Datasets. SecureIoT partners itsOWL, Fraunhofer, FUJITSU, P@@S have politely offered a valuable portfolio of 6 Datasets that deal with industry4.0. Licensing Note: Note that the pressure values contained in the dataset are based on values published by John Bozzeli of Injection Molding solutions (https://www.ptonline.com/articles/improve-profits-by-graphing-injection-pressure). Moreover, the general modelling of the injection moulding process has been discussed with the IKV of RWTH Aachen (Mauritius Schmitz, Wissenschaftlicher Direktor, https://www.ikv-aachen.de/institutsprofil/institutsleitung/). The IKV provided data curves for barrel pressure and temperature and gave valuable advice during the development of the model. These are the datasets used within the CCAD Scenario and represent a vehicle driving around a number of different locations within the EU. These datasets have a ‘normal’ (un-manipulated) dataset and ‘manipulated’ for direct comparison. There are 2 files within each dataset folder, one file references the high-level driver record and contains information like GPS position, vehicle speed, braking conditions, and another file which provides periodic statistics of the vehicle’s internal CAN network.
DOI: 10.5281/zenodo.4707192
title: SecureIoT Datasets

description: LUXAI in Collaboration with ISPRINT and the CC2U solution offer a valuable portfolio of 11 Datasets. SecureIoT partners itsOWL, Fraunhofer, FUJITSU, P@@S have politely offered a valuable portfolio of 6 Datasets that deal with industry4.0. Licensing Note: Note that the pressure values contained in the dataset are based on values published by John Bozzeli of Injection Molding solutions (https://www.ptonline.com/articles/improve-profits-by-graphing-injection-pressure). Moreover, the general modelling of the injection moulding process has been discussed with the IKV of RWTH Aachen (Mauritius Schmitz, Wissenschaftlicher Direktor, https://www.ikv-aachen.de/institutsprofil/institutsleitung/). The IKV provided data curves for barrel pressure and temperature and gave valuable advice during the development of the model. These are the datasets used within the CCAD Scenario and represent a vehicle driving around a number of different locations within the EU. These datasets have a ‘normal’ (un-manipulated) dataset and ‘manipulated’ for direct comparison. There are 2 files within each dataset folder, one file references the high-level driver record and contains information like GPS position, vehicle speed, braking conditions, and another file which provides periodic statistics of the vehicle’s internal CAN network.
DOI: 10.5255/ukda-sn-854774
title: Sindh Is Not a Piece of Territory: Sindhi Belonging in India, 2019-2021

description: This article was published on the anniversary of India's Republic day in January 2021 for the well-known online publication The Leaflet's special issue on citizenship, for a non-academic audience. The article traces a history of the Sindhi refugee diaspora in India in the aftermath of the partition of India, the absence of a linguistic and ethnically defined territory to which they could claim belonging, and the implications of this for their resettlement in India. The article looks back at how religion, ethnicity, and caste intersected with a lack of territorial belonging to produce Sindhi citizenship in India and the refugees' own struggles to claim belonging in India.
DOI: 10.25646/8382
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: 10.5281/zenodo.4707265
title: 7_redefinition_fundamental_physical_constants_2018

description: 7-redefinition-physical_constants
DOI: 10.5517/ccdc.csd.cc23xs50
title: CCDC 1964072: Experimental Crystal Structure Determination

description: Related Article: Jianhui Qiao, Wenxuan Zhao, Yong Liang, Zhu-Jun Yao, Shaozhong Wang|2021|Chem.-Eur.J.|27|6308|doi:10.1002/chem.202005369
DOI: 10.5281/zenodo.4700266
title: Predictive visuo-motor communication through neural oscillations

description: dataset supporting the manuscript "Predictive visuo-motor communication through neural oscillations" by Benedetto, Binda, Costagli, Tosetti e Morrone saved as xcell file, with 7 separate sheets. these correspond to the 7 display items in version #3 of the mannuscript available at https://doi.org/10.1101/2020.07.28.224949
DOI: 10.5281/zenodo.4700265
title: Predictive visuo-motor communication through neural oscillations

description: dataset supporting the manuscript "Predictive visuo-motor communication through neural oscillations" by Benedetto, Binda, Costagli, Tosetti e Morrone saved as xcell file, with 7 separate sheets. these correspond to the 7 display items in version #3 of the mannuscript available at https://doi.org/10.1101/2020.07.28.224949
DOI: 10.3886/e138081v1
title: Boundary Spanning Roles and Power in Educational Partnerships

description: Research-practice partnerships (RPPs) offer promising approaches to improve educational outcomes. Navigating boundaries between contexts is essential for RPP effectiveness, yet much work remains to establish a conceptual framework of boundary spanning in partnerships. Our longitudinal comparative case study draws from our experiences as graduate student boundary spanners in three long-term partnerships to examine boundary spanning roles in RPPs, with particular attention to the ways in which power permeates partnership work. Using qualitative, critically reflexive analysis of meeting artifacts and field notes, we found that our boundary spanning roles varied along five spectrums: institutional focus, task orientation, expertise, partnership disposition, and agency. Our roles were shaped by the organizational, cultural, relational, and historical features of the partnerships and contexts of interaction. We aim to promote the development of effective RPP strategies by leveraging the perspectives and positionality of graduate students to advance understanding of boundary spanning roles.
DOI: 10.6084/m9.figshare.14330759
title: Data and Code for Rovinsky et al., 2021

description: Data and code needed to perform the analyses in Rovinsky et al., 2021 "Functional ecological convergence between the thylacine and small prey-focused canids". Data includes a ReadMe file. You should start there!
DOI: 10.6084/m9.figshare.14273537
title: Table S1，Table S2:

description: <b>Table S1：</b><b>Antibodies used in Western blot and IHC</b><b><br></b><b>Table S2: Primers sequences for q-PCR.</b><b><br></b>
DOI: 10.5281/zenodo.4707318
title: Cigarette smoking and dating app use: findings from a na-tionwide survey

description: Open-access dataset, related to the survey "Cigarette smoking and dating app use: findings from a nationwide survey"
DOI: 10.5281/zenodo.4707317
title: Cigarette smoking and dating app use: findings from a na-tionwide survey

description: Open-access dataset, related to the survey "Cigarette smoking and dating app use: findings from a nationwide survey"
DOI: 10.6084/m9.figshare.14459403
title: Supplementary Material for: Risk Factors for Non-Ampullary Duodenal Adenocarcinoma: A Systematic Review

description: Medicine
DOI: 10.34740/kaggle/dsv/2143532
title: GitHub Commit Messages Dataset
DOI: 10.5258/soton/d1807
title: Dataset for: Compact chirped-pulse amplification systems based on highly Tm3+ doped germanate fiber

description: Dataset for article "Compact chirped-pulse amplification systems based on highly Tm3+ doped germanate fiber" in Optic Letters
DOI: 10.20363/zfmk-coll.ichthyology-2021-04
title: ZFMK Ichthyology collection
title: The ichthyological collection at the Zoological Research Museum Alexander Koenig

description: The ichthyological collection at the Zoological Research Museum Alexander Koenig contains mainly freshwater fishes, with emphasis on South American and later on European, African and Asian species.
DOI: 10.5258/soton/d1464
title: Dataset for Active Control of Nano-dielectric-induced THz Quasi-BIC in Flexible Metasurfaces: A Platform for Modulation and Sensing

description: This research dataset should be interpreted and understood in the context of the corresponding manuscript, which has been published in Advanced Materials. All relevant information regarding the dataset, how it was obtained and its context is contained in the manuscript.
DOI: 10.6084/m9.figshare.14384843
title: non24-mri

description: Magnetic resonance imagery including structural MPRAGE-like image (FLAWS, voxel-size: 1mm³ isotropic), subsecond functional BOLD image (fMRI, TR: 758 ms, voxel-size: 3mm³ isotropic) and multi-shell diffusion MRI (DWI/DTI, 3-shells: b700, b1000, b2000). Also includes clinical sequences: FLAIR, SWI, SWI/mIP, PCASL & Proton Density map.<br>Full MRI protocol and parameters available at: https://github.com/lrq3000/mri_protocol<br>MRI preprocessing and analysis pipeline available at: https://github.com/lrq3000/csg_mri_pipelines
DOI: 10.6084/m9.figshare.14384843.v1
title: non24-mri

description: Magnetic resonance imagery including structural MPRAGE-like image (FLAWS, voxel-size: 1mm³ isotropic), subsecond functional BOLD image (fMRI, TR: 758 ms, voxel-size: 3mm³ isotropic) and multi-shell diffusion MRI (DWI/DTI, 3-shells: b700, b1000, b2000). Also includes clinical sequences: FLAIR, SWI, SWI/mIP, PCASL & Proton Density map.<br>Full MRI protocol and parameters available at: https://github.com/lrq3000/mri_protocol<br>MRI preprocessing and analysis pipeline available at: https://github.com/lrq3000/csg_mri_pipelines
DOI: 10.5255/ukda-sn-854547
title: Promoting Independence in Dementia: A Feasibility Randomised Controlled Trial, 2018-2020

description: Data collection is from a parallel group, two-arm, multicentre, feasibility, randomised controlled trial to examine the feasibility of conducting a definitive randomised trial comparing the clinical and cost-effectiveness of the PRIDE intervention (a self-management intervention designed to promote living well and enhance independence) offered in addition to usual care to usual care alone for people with mild dementia. This was work package 4 of the Promoting Independence in Dementia Research Programme funded by the ESRC and NIHR Programme for Applied Research.
DOI: 10.6084/m9.figshare.14390768.v2
title: sleep-diary-sleepmeter

description: Annotated daily sleep diary over years of a subject (author and scientific researcher) with the non-24 circadian rhythm disorder.<br>The sleep diary was manually curated using the Sleepmeter app on Android (pro version). It is duly annotated with all the controlled factors such as use of light therapy, light exposure (morning? evening?), disturbances such as noise or appointments, diet composition and timing, melatonin use, etc.<br>This should be considered the baseline biomarker of the subject's sleep-wake patterns, it is the ground truth for actigraphy and other biomarkers. The sleep diary was duly curated to minimize errors and was updated continuously everyday, once at bedtime by tapping a widget to mark the fall asleep time (with a delay from bedtime, the exact fall asleep time may not be 100% accurate but it was corrected the morning after to try to match as much as possible the subjectively estimated sleep onset delay), and on wake up by tapping again the widget as soon as the subject woke up, and then noting all the relevant comments and tags.<br>Most tags and comments pertain to the day before, although some tags and comments pertain to what happens in the day after (in the latter case, this is usually denoted in the tag name).<br>Use the latest sleep diary, it contains the whole history. Other sleep diaries are past versions, which may have some differences such as renamed tags or missing comments that were added aposteriori (sometimes months later when the culprit of a major sleep disturbance was discovered, such as secondary pernio due to long covid).<br>The sleep diary currently covers almost 2 years. Keep in mind that during the period of 2020-2022, the data was acquired while in lockdown or pseudo-lockdown most of the time due to the SaRS-nCOV-2 (COVID-19) pandemic. More data will be added in the future.<br>The files contain the whole history up to the timestamp in the filename. Hence, to study the longest period, use only the latest file, do not concatenate with previous ones.
DOI: 10.6084/m9.figshare.14384861
title: blood-tests

description: Blood test results. B12 was already supplemented, but not others.
DOI: 10.34740/kaggle/dsv/2143607
title: Nepal ICU and Ventilators Occupancy for COVID
DOI: 10.6084/m9.figshare.14390479
title: ecg-polar-h10-set1

description: Single-lead ECG tracings along with heart rate and 3-axis chest actigraphy using a Polar H10 sensor worn with on a Polar Pro chest strap, with data transferred via bluetooth to an Android smartphone (Realme 6i) that serves as a bluetooth receptor unit and data recorder via the Polar Sensor Logger app on Android by Jukka Happonen (Polar developer, this app is unofficial): https://play.google.com/store/apps/details?id=com.j_ware.polarsensorlogger<br>Data was compressed with 7-zip using LZMA2 in Normal compression setting and split into 5GB parts to respect the file size limit of figshare. Total is 15.7 GB compressed, 103 GB uncompressed.<br>This dataset covers the period from 2020-10-21 to 2021-03-24. See other sets for further data.<br>This wearable was only worn when at home.<br>Each file represents one acquisition session, of variable time up to 140h in one session. The acquisition software also split files when the device is temporarily out of reach, so there several files with very few entries, which means the device was barely reachable or went in and out of bluetooth range. These files can be concatenated to study a longer time period. There are 4 types of files: ECG for the raw ECG at 133Hz sampling rate, HR for the heart-rate computed by the proprietary Polar embedded software in the H10 sensor and also the IBI (inter-beats intervals) to ease calculation of HRV (heart rate variability), ACC for the 3-axis (accelerometer = translation axes) chest actigraphy set at 100Hz sampling rate and 4g sampling resolution, and Marker which are manual markers by the operator to mark special temporal events but they were not used for this study so they are either deleted or empty. For the full technical specification of the Polar H10 device, see: https://github.com/polarofficial/polar-ble-sdk/tree/master/technical_documentation
DOI: 10.6084/m9.figshare.14390479.v1
title: ecg-polar-h10-set1

description: Single-lead ECG tracings along with heart rate and 3-axis chest actigraphy using a Polar H10 sensor worn with on a Polar Pro chest strap, with data transferred via bluetooth to an Android smartphone (Realme 6i) that serves as a bluetooth receptor unit and data recorder via the Polar Sensor Logger app on Android by Jukka Happonen (Polar developer, this app is unofficial): https://play.google.com/store/apps/details?id=com.j_ware.polarsensorlogger<br>Data was compressed with 7-zip using LZMA2 in Normal compression setting and split into 5GB parts to respect the file size limit of figshare. Total is 15.7 GB compressed, 103 GB uncompressed.<br>This dataset covers the period from 2020-10-21 to 2021-03-24.<br>This wearable was only worn when at home.<br>Each file represents one acquisition session, of variable time up to 140h in one session. The acquisition software also split files when the device is temporarily out of reach, so there several files with very few entries, which means the device was barely reachable or went in and out of bluetooth range. These files can be concatenated to study a longer time period. There are 4 types of files: ECG for the raw ECG, HR for the heart-rate computed by the proprietary Polar embedded software in the H10 sensor and also the IBI (inter-beats intervals) to ease calculation of HRV (heart rate variability), ACC for the 3-axis (accelerometer = translation axes) chest actigraphy, and Marker which are manual markers by the operator to mark special temporal events but they were not used for this study so they are either deleted or empty.<br>More data will be added over time.