cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27195483.v1
title: Eccentricity measurement of low cost laser tracker SMR to robot flange mount

description: This data is part of the paper: "Construction and Evaluation of a Low-Cost Laser Tracker SMR to Robot Flange Mount". It was created by using the software FARO CAM2 for the laser tracker FARO Vantage E with a 1.5" Standard Accuracy Break Resistant SMR from FARO with gold covering, a range of 60m and a centring accuracy of &lt; ±7.6µm. For the measurements the SMR is placed in the designed mount facing the laser tracker. It is used to evaluate the accuracy of the designed mount by checking its eccentricity and repeatability.All measurement values are positional data in the three-dimensional coordinate system (x,y,z) in mm.In order to measure the eccentricity of the SMR to robot flange mount, the following experiment was carried out. The main idea is to rotate the mount and the SMR 360° using the last joint of the robot and measure it with the laser tracker. The joint is rotated in 10° increments and stopped to obtain a static measurement point. A laser tracker measurement is initiated. After a full rotation, 36 data points are available. The diameter of the resulting circle varies with eccentricity. To reduce the influence of the robot joint on the measurement, several positions are used for the rotation of the last joint. It was decided to use a rotation of 15° around the elbow joint for four times in order to have five measurement positions.Multiple measurements were taken to determine the eccentricity of the designed and 3D printed SMR to robot flange mount. Five different locations were used for two independent 360° rotations with 36 measurements each. This gives a total of 360 measurements.<br><br>
DOI: 10.15468/dl.xn9nv7
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-13.4531 33.66819,-0.66471 25.65002,35.05913 32.15581,22.96016 47.04686,9.11614 48.21022,-13.4531 33.66819))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megabalanus tintinnabulum (Linnaeus, 1758)"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020738-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yng23
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((13.27572 55.68802, 13.31529 55.64814, 13.34814 55.63626, 13.3529 55.61776, 13.33232 55.61229, 13.31542 55.62221, 13.30362 55.60639, 13.34314 55.55803, 13.36993 55.56285, 13.39246 55.53391, 13.45003 55.52777, 13.47397 55.52692, 13.48892 55.54821, 13.49454 55.57524, 13.51832 55.58236, 13.54047 55.63272, 13.59667 55.63678, 13.60329 55.65271, 13.61363 55.66865, 13.5608 55.69821, 13.52745 55.70303, 13.45895 55.73272, 13.42704 55.73407, 13.38381 55.74697, 13.32742 55.75445, 13.29833 55.75102, 13.30294 55.76854, 13.28785 55.78057, 13.25218 55.77391, 13.22762 55.79063, 13.21336 55.79196, 13.14345 55.78734, 13.13535 55.74825, 13.12902 55.72418, 13.11222 55.71342, 13.11544 55.70357, 13.14513 55.70636, 13.17349 55.68175, 13.20437 55.69265, 13.21293 55.67843, 13.27572 55.68802))",
 "ScientificName is one of (lycaenidae, hesperiidae, nymphalidae, papilionidae, pieridae, riodinidae, zygaenidae)",
 "TaxonKey is Pieris napi (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2023",
 "BasisOfRecord is Human Observation",
 "Country is Sweden",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020740-241024112534372/datasets/export for details.
DOI: 10.15468/dl.7mvsrj
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Equus kiang Moorcroft, 1841"
 ]
}

 The dataset includes 415 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020741-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3mnc8
title: Occurrence Download

description: A dataset containing 7682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "GadmGid is one of (CHE.26.7.11_1, CHE.26.7_1)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 7682 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020742-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/2ef8c5fb-c154-4004-8e59-7f755e693141
title: STM Imaging of Strongly Correlated Materials with Spin-Orbit Coupling (Thesis data)
DOI: 10.5281/zenodo.14034073
title: Extracted C and C++ Code from BigCode
DOI: 10.5281/zenodo.14034074
title: Extracted C and C++ Code from BigCode
DOI: 10.5281/zenodo.10468609
title: Data for: Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid-ammonia nucleation

description: Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.3.4. which contains the control case and three experiments with the NPF lookup table. This paper is published at EGUshpere by journal: Geoscientific Model Development.

The files contain:

Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 6-hourly grib datasets. The post-process bash script which contains the function for the CDN and cloud effective radius weighted average towards cloud_time is found in the supplemented zendo link.

NetCDF files from TM5 general output for each simulation.
DOI: 10.5281/zenodo.10468610
title: Data for: Implementing detailed nucleation predictions in the Earth system model EC-Earth3.3.4: sulfuric acid-ammonia nucleation

description: Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.3.4. which contains the control case and three experiments with the NPF lookup table. This paper is published at EGUshpere by journal: Geoscientific Model Development.

The files contain:

Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 6-hourly grib datasets. The post-process bash script which contains the function for the CDN and cloud effective radius weighted average towards cloud_time is found in the supplemented zendo link.

NetCDF files from TM5 general output for each simulation.
DOI: 10.5281/zenodo.14034061
title: Storyline data for Storm Boris (September 2024)

description: Global model data time-averaged over the period of 12-16 September 2024, in three different climate scenarios: preindustrial, present-day and 4ºC warmer world. The data has been obtained from nudged simulations conducted using the coupled climate model AWI-CM1, following the same methodology as described in Sánchez-Benítez et al., 2022. The provided data includes global total precipitation (tp), total water vapor (qvi), sea surface temperature (sst), 2m temperature (temp2), sea level pressure (SLP), convective available potential energy (CAPE) and vertical wind velocity at 850 hPa (omega), averaged over five independent ensemble members. The data is structured in nine .nc files, with three files corresponding to each climate scenario: one file contains tp and sst, another contains qvi and omega, and the third contains temp2, SLP, and CAPE.
description: This work was supported by funding and resources from Helmholtz Research Field Earth & Environment for the Innovation Pool Project SCENIC. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID ba1264. We thank Sebastian Rast (MPI-M) for support with the spectral nudging in ECHAM, and the ESM-Tools (Barbi et al. 2021) staff for their assistance during the simulations.
DOI: 10.5281/zenodo.14034062
title: Storyline data for Storm Boris (September 2024)

description: Global model data time-averaged over the period of 12-16 September 2024, in three different climate scenarios: preindustrial, present-day and 4ºC warmer world. The data has been obtained from nudged simulations conducted using the coupled climate model AWI-CM1, following the same methodology as described in Sánchez-Benítez et al., 2022. The provided data includes global total precipitation (tp), total water vapor (qvi), sea surface temperature (sst), 2m temperature (temp2), sea level pressure (SLP), convective available potential energy (CAPE) and vertical wind velocity at 850 hPa (omega), averaged over five independent ensemble members. The data is structured in nine .nc files, with three files corresponding to each climate scenario: one file contains tp and sst, another contains qvi and omega, and the third contains temp2, SLP, and CAPE.
description: This work was supported by funding and resources from Helmholtz Research Field Earth & Environment for the Innovation Pool Project SCENIC. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID ba1264. We thank Sebastian Rast (MPI-M) for support with the spectral nudging in ECHAM, and the ESM-Tools (Barbi et al. 2021) staff for their assistance during the simulations.
DOI: 10.5281/zenodo.12570276
title: Unravelling the physiological and psychosocial signatures of pain by machine learning

description: These datasets include information from 118 subjects, with 81 chronic pain patients across three different cohorts, Complex Regional Pain Syndrome (CRPS), Low Back Pain (LBP) and Spinal Cord Injury with Neuropathic Pain (SCI NP) and 37 healthy subjects. Each participant underwent 40 repetitions of experimentally induced pain, resulting in a total of 4,697 pain trials. Physiological signals (EDA and EEG) and psychosocial information have been recorded and collected. Age, gender, height, weight, BMI, medications, fatigue, sleep quality, perceived health, quality of life, sleep quality, and sick leave and validated questionnaires: Hospital Anxiety and Depression Scale (HADS), Pain Catastrophizing Score (PCS), and Pain Self-Efficacy Questionnaire (PSEQ) and Multidimensional Assessment of Interoceptive Awareness (MAIA).

This information has been used for the publication "Unravelling the physiological and psychosocial signatures of pain by machine learning".

Cite this dataset as:N. Gozzi, G. Preatoni, F. Ciotti, M. Hubli, P. Schweinhardt, A. Curt, S. Raspopovic, Unraveling the physiological and psychosocial signatures of pain by machine learning. Med 0 (2024).  10.1016/j.medj.2024.07.016
DOI: 10.5281/zenodo.12570277
title: Unravelling the physiological and psychosocial signatures of pain by machine learning

description: These datasets include information from 118 subjects, with 81 chronic pain patients across three different cohorts, Complex Regional Pain Syndrome (CRPS), Low Back Pain (LBP) and Spinal Cord Injury with Neuropathic Pain (SCI NP) and 37 healthy subjects. Each participant underwent 40 repetitions of experimentally induced pain, resulting in a total of 4,697 pain trials. Physiological signals (EDA and EEG) and psychosocial information have been recorded and collected. Age, gender, height, weight, BMI, medications, fatigue, sleep quality, perceived health, quality of life, sleep quality, and sick leave and validated questionnaires: Hospital Anxiety and Depression Scale (HADS), Pain Catastrophizing Score (PCS), and Pain Self-Efficacy Questionnaire (PSEQ) and Multidimensional Assessment of Interoceptive Awareness (MAIA).

This information has been used for the publication "Unravelling the physiological and psychosocial signatures of pain by machine learning".

Cite this dataset as:N. Gozzi, G. Preatoni, F. Ciotti, M. Hubli, P. Schweinhardt, A. Curt, S. Raspopovic, Unraveling the physiological and psychosocial signatures of pain by machine learning. Med 0 (2024).  10.1016/j.medj.2024.07.016
DOI: 10.15468/dl.8pjr4g
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((13.27572 55.68802, 13.31529 55.64814, 13.34814 55.63626, 13.3529 55.61776, 13.33232 55.61229, 13.31542 55.62221, 13.30362 55.60639, 13.34314 55.55803, 13.36993 55.56285, 13.39246 55.53391, 13.45003 55.52777, 13.47397 55.52692, 13.48892 55.54821, 13.49454 55.57524, 13.51832 55.58236, 13.54047 55.63272, 13.59667 55.63678, 13.60329 55.65271, 13.61363 55.66865, 13.5608 55.69821, 13.52745 55.70303, 13.45895 55.73272, 13.42704 55.73407, 13.38381 55.74697, 13.32742 55.75445, 13.29833 55.75102, 13.30294 55.76854, 13.28785 55.78057, 13.25218 55.77391, 13.22762 55.79063, 13.21336 55.79196, 13.14345 55.78734, 13.13535 55.74825, 13.12902 55.72418, 13.11222 55.71342, 13.11544 55.70357, 13.14513 55.70636, 13.17349 55.68175, 13.20437 55.69265, 13.21293 55.67843, 13.27572 55.68802))",
 "TaxonKey is Pieris napi (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2023",
 "BasisOfRecord is Human Observation",
 "Country is Sweden",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 123 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020743-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27604658
title: Determinants of household saving behaviour in Ghana

description: Developing countries generally exhibit low ‘saving’ (flow concept) and ‘savings’ (stock concept) rates. The factors underlying household positive or negative saving behaviours in developed and developing countries are not new in the macroeconomic literature. Whereas some determinants are theoretically generic, others are country- or community-specific and worth investigating. In this study, the determinants of household saving behaviour are examined. We obtain the results using primary data from a household survey and a logit econometric model with its associated average marginal effects. Our evidence shows that household income, level of education completed, employment status, and households with launching children (or transitioning older adults) are primary drivers of household saving behaviour in Ghana. Further heterogeneous analysis shows that saving behaviour does not statistically differ by gender but by poverty headcount. In line with the findings of this study, relevant policy prescriptions are discussed. This study contributes to the ongoing discourse on household saving behaviour, specifically within the context of developing countries, by providing empirical evidence from Ghana. Utilising primary household survey data, the research identifies key factors such as income, education level, employment status, and household lifecycle stages (e.g., families with launching children or transitioning older adults) as critical determinants of saving behaviour. The findings offer actionable insights for policymakers in developing economies aiming to boost saving rates, reduce poverty, and promote financial stability. By demonstrating that household saving behaviour varies by poverty headcount rather than gender, the study underscores the need for targeted financial inclusion and education policies. The results are particularly relevant for economic development strategies in countries with similar socio-economic structures, offering a foundation for tailored interventions that can foster more resilient household financial practices. This paper’s insights can shape future research and policy development aimed at addressing the unique saving dynamics in developing nations, ultimately contributing to improved macroeconomic stability and individual financial security.
DOI: 10.6084/m9.figshare.27604658.v1
title: Determinants of household saving behaviour in Ghana

description: Developing countries generally exhibit low ‘saving’ (flow concept) and ‘savings’ (stock concept) rates. The factors underlying household positive or negative saving behaviours in developed and developing countries are not new in the macroeconomic literature. Whereas some determinants are theoretically generic, others are country- or community-specific and worth investigating. In this study, the determinants of household saving behaviour are examined. We obtain the results using primary data from a household survey and a logit econometric model with its associated average marginal effects. Our evidence shows that household income, level of education completed, employment status, and households with launching children (or transitioning older adults) are primary drivers of household saving behaviour in Ghana. Further heterogeneous analysis shows that saving behaviour does not statistically differ by gender but by poverty headcount. In line with the findings of this study, relevant policy prescriptions are discussed. This study contributes to the ongoing discourse on household saving behaviour, specifically within the context of developing countries, by providing empirical evidence from Ghana. Utilising primary household survey data, the research identifies key factors such as income, education level, employment status, and household lifecycle stages (e.g., families with launching children or transitioning older adults) as critical determinants of saving behaviour. The findings offer actionable insights for policymakers in developing economies aiming to boost saving rates, reduce poverty, and promote financial stability. By demonstrating that household saving behaviour varies by poverty headcount rather than gender, the study underscores the need for targeted financial inclusion and education policies. The results are particularly relevant for economic development strategies in countries with similar socio-economic structures, offering a foundation for tailored interventions that can foster more resilient household financial practices. This paper’s insights can shape future research and policy development aimed at addressing the unique saving dynamics in developing nations, ultimately contributing to improved macroeconomic stability and individual financial security.
DOI: 10.15468/dl.9amk5k
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cervus albirostris Przewalski, 1883"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020744-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrgvj6
title: Occurrence Download

description: A dataset containing 7682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "GadmGid is one of (CHE.26.7.11_1, CHE.26.7_1)",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 7682 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020745-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/d2624
title: Dataset supporting the PhD thesis titled "Investigating the mechanisms of tau secretion across neuronal networks in health and disease".

description: Dataset supporting the Doctoral Thesis "Investigating the mechanisms of tau secretion across neuronal networks in health and disease".

The data contains: 
- Whole-cell patch clamp data from cultured hippocampal neurons (2020-2022). The excel sheet 'DML_experiment_log_1' details experimental log for all whole-cell patch clamp experiments used throughout the project.
- NanoBiT-Tau secretion and assay development. This zip file details all key experiments using the NanoBiT reporter system I developed in my PhD. 
- Tau-aggregation analysis
- Biochemistry (eg., western blots, dot blots)
DOI: 10.15468/dl.vgk4rj
title: Occurrence Download

description: A dataset listing the 1256 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Kenya Bird Map Occurrence Data"
 ]
}

 The dataset's 1256 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020739-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2k62wr
title: CCDC 2359344: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan, Anna Chandrasekar Murali, Krishnan Venkatasubbaiah, Vadapalli Chandrasekhar|2024|Inorg.Chem.|63|19561|doi:10.1021/acs.inorgchem.4c02342
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.cc2k62xs
title: CCDC 2359345: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan, Anna Chandrasekar Murali, Krishnan Venkatasubbaiah, Vadapalli Chandrasekhar|2024|Inorg.Chem.|63|19561|doi:10.1021/acs.inorgchem.4c02342
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.cc2k62yt
title: CCDC 2359346: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan, Anna Chandrasekar Murali, Krishnan Venkatasubbaiah, Vadapalli Chandrasekhar|2024|Inorg.Chem.|63|19561|doi:10.1021/acs.inorgchem.4c02342
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.cc2k62zv
title: CCDC 2359347: Experimental Crystal Structure Determination

description: Related Article: Ramkumar Kannan, Anna Chandrasekar Murali, Krishnan Venkatasubbaiah, Vadapalli Chandrasekhar|2024|Inorg.Chem.|63|19561|doi:10.1021/acs.inorgchem.4c02342
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.