cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8123418
title: LCA results of alternative steps in EoL procedure

description: Open access to analysed data generated by the ReINTEGRA project (GA 886609, H2020, European Union, through Clean Sky 2 JU) along the research, at single-stringer coupon level, of the End-of-Life of novel welded Al-Li aerostructures.Research pertaining to Task 6.3 (WP6), Deliverable D6.3. Analysed data on environmental impacts associated with recycling different scrap fractions coming from EoL welded structures made of Al-Li alloys, at coupon level. The inventory of flows during cutting, decoating and remelting 9 references of welded coupons for closed-loop recycling of the scrap into aeronautical Al-Li alloys was used for calculating 4 LCA-based environmental indicators: GWP (Climate Change), ADP-fossil (Use of Resources, fossil), ADP-elem (Use of Resources, minerals & metals) and Toxicity (aggregated score for weighted normalised indicators of Human Toxicity Cancer & Non-Cancer + Ecotoxicity Freshwater categories). For the closed-loop recycling 4 target Al-Li alloys are considered: AA2198, AA2196, AA2060, AA2099. Data analysis: - Computing environmental impacts associated with the cutting of scrap using a handheld angle grinder. - Computing environmental impacts associated with the decoating of scrap using corundum blasting. - Computing environmental impacts associated with the chemical elements corrections (alloying) of the composition of remelted coupon scrap within each target Al-Li alloy limits. - Graphical comparison for R1 of total impact of closed-loop recycling following 4 different scrapping strategies 0C, 1C, 2C, 3C) - Graphical comparison of the recommended EoL routes for coupon R1 and coupon R11. - Environmental ranking of all the closed-loop recycling options proposed (3 options * 9 coupon references) The data, analysed as part of the environmental screening of EoL alternatives in WP6 (Task 6.3), are the basis for selection of the best EOL routes in WP3 and providing ecodesign tips (DfR) to ecoTECH for welded panels manufacturing.
DOI: 10.5281/zenodo.8123417
title: LCA results of alternative steps in EoL procedure

description: Open access to analysed data generated by the ReINTEGRA project (GA 886609, H2020, European Union, through Clean Sky 2 JU) along the research, at single-stringer coupon level, of the End-of-Life of novel welded Al-Li aerostructures.Research pertaining to Task 6.3 (WP6), Deliverable D6.3. Analysed data on environmental impacts associated with recycling different scrap fractions coming from EoL welded structures made of Al-Li alloys, at coupon level. The inventory of flows during cutting, decoating and remelting 9 references of welded coupons for closed-loop recycling of the scrap into aeronautical Al-Li alloys was used for calculating 4 LCA-based environmental indicators: GWP (Climate Change), ADP-fossil (Use of Resources, fossil), ADP-elem (Use of Resources, minerals & metals) and Toxicity (aggregated score for weighted normalised indicators of Human Toxicity Cancer & Non-Cancer + Ecotoxicity Freshwater categories). For the closed-loop recycling 4 target Al-Li alloys are considered: AA2198, AA2196, AA2060, AA2099. Data analysis: - Computing environmental impacts associated with the cutting of scrap using a handheld angle grinder. - Computing environmental impacts associated with the decoating of scrap using corundum blasting. - Computing environmental impacts associated with the chemical elements corrections (alloying) of the composition of remelted coupon scrap within each target Al-Li alloy limits. - Graphical comparison for R1 of total impact of closed-loop recycling following 4 different scrapping strategies 0C, 1C, 2C, 3C) - Graphical comparison of the recommended EoL routes for coupon R1 and coupon R11. - Environmental ranking of all the closed-loop recycling options proposed (3 options * 9 coupon references) The data, analysed as part of the environmental screening of EoL alternatives in WP6 (Task 6.3), are the basis for selection of the best EOL routes in WP3 and providing ecodesign tips (DfR) to ecoTECH for welded panels manufacturing.
DOI: 10.5281/zenodo.8123324
title: Dataset related to: "Effects of Motor Rehabilitation on Balance and Functional Activities in Elderly Patients with Peripheral Neuropathy and Recurrent Falls"

description: We provide the raw data used for the following article: <strong>Gialanella B, Comini L, Prometti P, Vanoglio F, Santoro R.</strong> Effects of Motor Rehabilitation on Balance and Functional Activities in Elderly Patients with Peripheral Neuropathy and Recurrent Falls. Life (Basel). 2023 Apr 20;13(4):1059. doi: 10.3390/life13041059. <strong>Abstract:</strong> To date, little is known about the effects of motor rehabilitation in peripheral neuropathy (PN) patients with a history of recurrent falls (RFH). This study aimed to assess balance and the activities of daily living (ADLs) in elderly lower limb PN patients with and without RFH and to verify the effects of motor rehabilitation on balance and ADLs in these patients. We collected data from<br> 64 lower limb PN patients, who underwent a conventional motor rehabilitation program: 35 patients had a history of recurrent falls, and 29 did not. The Berg Balance Scale (BBS) and motor FIM, before and after rehabilitation, were the outcome measures. After rehabilitation, lower limb PN patients with RFH had significantly higher scores in BBS and motor FIM (p &lt; 0.001, for both) than at entry. The final BBS score and effectiveness in the BBS score of lower limb PN patients with RFH were lower than those of patients without RFH (p &lt; 0.05 and p = 0.009, respectively). The study shows that conventional motor rehabilitation improves both balance and ADLs in patients, but balance improvement is lower in those with RFH. Thus, motor rehabilitation can be a therapeutic option for<br> the management of these patients.
DOI: 10.5281/zenodo.8123325
title: Dataset related to: "Effects of Motor Rehabilitation on Balance and Functional Activities in Elderly Patients with Peripheral Neuropathy and Recurrent Falls"

description: We provide the raw data used for the following article: <strong>Gialanella B, Comini L, Prometti P, Vanoglio F, Santoro R.</strong> Effects of Motor Rehabilitation on Balance and Functional Activities in Elderly Patients with Peripheral Neuropathy and Recurrent Falls. Life (Basel). 2023 Apr 20;13(4):1059. doi: 10.3390/life13041059. <strong>Abstract:</strong> To date, little is known about the effects of motor rehabilitation in peripheral neuropathy (PN) patients with a history of recurrent falls (RFH). This study aimed to assess balance and the activities of daily living (ADLs) in elderly lower limb PN patients with and without RFH and to verify the effects of motor rehabilitation on balance and ADLs in these patients. We collected data from<br> 64 lower limb PN patients, who underwent a conventional motor rehabilitation program: 35 patients had a history of recurrent falls, and 29 did not. The Berg Balance Scale (BBS) and motor FIM, before and after rehabilitation, were the outcome measures. After rehabilitation, lower limb PN patients with RFH had significantly higher scores in BBS and motor FIM (p &lt; 0.001, for both) than at entry. The final BBS score and effectiveness in the BBS score of lower limb PN patients with RFH were lower than those of patients without RFH (p &lt; 0.05 and p = 0.009, respectively). The study shows that conventional motor rehabilitation improves both balance and ADLs in patients, but balance improvement is lower in those with RFH. Thus, motor rehabilitation can be a therapeutic option for<br> the management of these patients.
DOI: 10.6073/pasta/9223cf60a74cde552ef56951171e2c3f
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP P-COLL met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5258/soton/d2376
title: Dataset in support of the Southampton doctoral thesis ' If you are not yourself, who are you going to be? An Exploration of gender and sexuality diverse pupils, experiences of visibility management in school'

description: Data in support of the Doctoral thesis 'If you’re not yourself, who are you going to be?” An Exploration of gender and sexuality diverse pupils, experiences of visibility management in school: A systematic literature review and school factors that predict post-traumatic growth in young people that have experienced bullying at secondary school attributed to their open identification as gender and sexuality diverse pupils, experiences of visibility management in school'. This dataset contains collected data for the systematic review in SPSS .sav format Licence:CC-BY
DOI: 10.6073/pasta/8f872170855cb5c84b94a268b1f0b447
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP P-COLL met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.8123573
title: Associated data underlying the article "OPEN GOVERNMENT DATA (OGD) IN EUROPEAN EDUCATIONAL PROGRAMS CURRICULUM CURRENT STATE AND PROSPECTS"

description: Associated data underlying the article Rizun, Nina; Ciesielska, Magdalena; Alexopoulos, Charalampos; Saxena,Stuti; Papageorgiou, Georgios International Conference on Open Data (ICOD 2022): Book of abstracts, Faculty of Law, University of Zagreb, Zagreb, Croatia, pp. 26-29 (978-953-270-167-8). <pre>https://doi.org/10.5281/zenodo.8069910</pre> It is everybody’s knowledge now that Open Government Data (OGD) pertains to the availability of datasets pertaining to government operations and functioning via license-free formats (Afful-Dadzie and Afful-Dadzie, 2017) and these datasets are linked with different themes contingent upon the area of administration like energy, education, climate, tourism, environment, infrastructure, etc. (Ubaldi, 2013). Governments have been benchmarking their OGD initiatives across standard indices like ODIN, OKFN, Open Data Barometer, etc. (Lnenicka et al., 2022; Lnenicka and Nikiforova, 2021) and ample research exists on assessing the quality of OGD portals from the demand (i.e. the governments’ efforts at maintaining the quality of datasets) and supply (i.e. the perceptions of users regarding the quality of datasets) side (Crusoe et al., 2019; de Souza et al., 2022; Islam et al., 2021; Kaasenbrood et al., 2015; Khurshid et al., 2022; Lnenicka et al., 2022; Purwanto et al., 2020; Saxena and Janssen, 2017; Shehata and Elgllab, 2021; Talukder et al., 2019; Weerakkody et al., 2017; Wirtz et al., 2016; Wirtz et al., 2018; Wirtz et al., 2019; Zuiderwijk et al., 2015). Given the magnitude of academic interest on OGD- especially in the last 10 years- it remains to be assessed as to how far has the domain progressed in the academic environs and surprisingly, no research has been conducted to elucidate the infusion of this very significant domain- that is relatable to the extent to which the governments are forwarding their claims regarding the furtherance of transparent and corruption-free administration apart from bolstering citizen participation, collaboration and trust (Gil-Garcia et al., 2020; Hellberg and Hedstrom, 2015) besides serving as a means for value creation and innovation by a range of stakeholders (Jetzek et al., 2012; Jetzek et al., 2014) - in the diverse platforms that are meant for furthering academic dialogue and discussion.
DOI: 10.5281/zenodo.8123572
title: Associated data underlying the article "OPEN GOVERNMENT DATA (OGD) IN EUROPEAN EDUCATIONAL PROGRAMS CURRICULUM CURRENT STATE AND PROSPECTS"

description: Associated data underlying the article Rizun, Nina; Ciesielska, Magdalena; Alexopoulos, Charalampos; Saxena,Stuti; Papageorgiou, Georgios International Conference on Open Data (ICOD 2022): Book of abstracts, Faculty of Law, University of Zagreb, Zagreb, Croatia, pp. 26-29 (978-953-270-167-8). <pre>https://doi.org/10.5281/zenodo.8069910</pre> It is everybody’s knowledge now that Open Government Data (OGD) pertains to the availability of datasets pertaining to government operations and functioning via license-free formats (Afful-Dadzie and Afful-Dadzie, 2017) and these datasets are linked with different themes contingent upon the area of administration like energy, education, climate, tourism, environment, infrastructure, etc. (Ubaldi, 2013). Governments have been benchmarking their OGD initiatives across standard indices like ODIN, OKFN, Open Data Barometer, etc. (Lnenicka et al., 2022; Lnenicka and Nikiforova, 2021) and ample research exists on assessing the quality of OGD portals from the demand (i.e. the governments’ efforts at maintaining the quality of datasets) and supply (i.e. the perceptions of users regarding the quality of datasets) side (Crusoe et al., 2019; de Souza et al., 2022; Islam et al., 2021; Kaasenbrood et al., 2015; Khurshid et al., 2022; Lnenicka et al., 2022; Purwanto et al., 2020; Saxena and Janssen, 2017; Shehata and Elgllab, 2021; Talukder et al., 2019; Weerakkody et al., 2017; Wirtz et al., 2016; Wirtz et al., 2018; Wirtz et al., 2019; Zuiderwijk et al., 2015). Given the magnitude of academic interest on OGD- especially in the last 10 years- it remains to be assessed as to how far has the domain progressed in the academic environs and surprisingly, no research has been conducted to elucidate the infusion of this very significant domain- that is relatable to the extent to which the governments are forwarding their claims regarding the furtherance of transparent and corruption-free administration apart from bolstering citizen participation, collaboration and trust (Gil-Garcia et al., 2020; Hellberg and Hedstrom, 2015) besides serving as a means for value creation and innovation by a range of stakeholders (Jetzek et al., 2012; Jetzek et al., 2014) - in the diverse platforms that are meant for furthering academic dialogue and discussion.
DOI: 10.21227/pvq1-tv90
title: Heavy Lift Multirotor UAV - Electric Propulsion Unit Experimental Data

description: Experimental measurement data was obtained utilizing RCbenchmark 1780 with full-range PWM signals. Measurements were made for two series of setups.First series is related to low-voltage setups using the following T-MOTOR components: - motors: MN4014 400Kv, MN5212 340Kv, MN501-S 360Kv, U7 280Kv, MN6007 320Kv, P60 340Kv, MN701-S 280Kv; - ESC: Air 40A, Flame 40A, Flame 70A, Alpha 60A, Flame 100A; - propellers: P17×5.8, P18×6.1, P20×6, P22×6.6, P24×7.2, G26×8.5; - battery: 6-cell (6S) Lithium polymer (LiPo).The second series is related to high-voltage setups using the following T-MOTOR components: - motors: AG1005 90Kv, U11 120Kv, P80 100Kv, U12 120Kv, U13 130Kv; - ESC: Flame 60A, Alpha 80A, Alpha 120A, Flame 180A; - propellers: G26×8.5, G28×9.2, G30×10.5, G32×11.0; - battery: 12-cell (12S) (LiPo).
DOI: 10.6073/pasta/11cc171af9cec3a57c456d4e57595b06
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP P-COLL met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5258/soton/d2690
title: Dataset supporting the University of Southampton Doctoral Thesis "Protein-ligand binding free energies from Ab-Initio quantum mechanical calculations".

description: This dataset is supporting the University of Southampton Doctoral Thesis "Protein-ligand binding free energies from Ab-Initio quantum mechanical calculations". The data included are the input and output files required to run the computational simulations that are described in my thesis. The data includes: /Amber20_Inputs: Input files for MM-PBSA/GBS and NMODE calculations for Amber20 /MM-GBSA: MM-GBSA output energies /MM-PBSA: MM-PBSA output energies /Nmode_Energies: Nmode output energies.
DOI: 10.5517/ccdc.csd.cc2f62qg
title: CCDC 2240175: Experimental Crystal Structure Determination

description: Related Article: Meng-Lian Yao, Xiao-Yuan Wang, Guang-Chao Feng, Ji-Kai Liu, Bin Wu, Jin-Ming Yang|2023|Org.Lett.|25|4615|doi:10.1021/acs.orglett.3c01186
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.cc2fb1d7
title: CCDC 2243978: Experimental Crystal Structure Determination

description: Related Article: Xiaofei Sun, Alexander Hinz|2023|Inorg.Chem.|62|10249|doi:10.1021/acs.inorgchem.3c01045
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.cc2fb1f8
title: CCDC 2243979: Experimental Crystal Structure Determination

description: Related Article: Xiaofei Sun, Alexander Hinz|2023|Inorg.Chem.|62|10249|doi:10.1021/acs.inorgchem.3c01045
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.cc2fb1g9
title: CCDC 2243980: Experimental Crystal Structure Determination

description: Related Article: Xiaofei Sun, Alexander Hinz|2023|Inorg.Chem.|62|10249|doi:10.1021/acs.inorgchem.3c01045
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.cc2fb1hb
title: CCDC 2243981: Experimental Crystal Structure Determination

description: Related Article: Xiaofei Sun, Alexander Hinz|2023|Inorg.Chem.|62|10249|doi:10.1021/acs.inorgchem.3c01045
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: 10.17876/plate/dr.3/plates/104_25880
title: Digital object identifier (DOI) for the plate 25880 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25881
title: Digital object identifier (DOI) for the plate 25881 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25882
title: Digital object identifier (DOI) for the plate 25882 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25883
title: Digital object identifier (DOI) for the plate 25883 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25884
title: Digital object identifier (DOI) for the plate 25884 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25885
title: Digital object identifier (DOI) for the plate 25885 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25886
title: Digital object identifier (DOI) for the plate 25886 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25887
title: Digital object identifier (DOI) for the plate 25887 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25888
title: Digital object identifier (DOI) for the plate 25888 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25889
title: Digital object identifier (DOI) for the plate 25889 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25890
title: Digital object identifier (DOI) for the plate 25890 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25891
title: Digital object identifier (DOI) for the plate 25891 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25892
title: Digital object identifier (DOI) for the plate 25892 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25893
title: Digital object identifier (DOI) for the plate 25893 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25894
title: Digital object identifier (DOI) for the plate 25894 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25895
title: Digital object identifier (DOI) for the plate 25895 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25896
title: Digital object identifier (DOI) for the plate 25896 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25897
title: Digital object identifier (DOI) for the plate 25897 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25898
title: Digital object identifier (DOI) for the plate 25898 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25899
title: Digital object identifier (DOI) for the plate 25899 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25900
title: Digital object identifier (DOI) for the plate 25900 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25901
title: Digital object identifier (DOI) for the plate 25901 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25902
title: Digital object identifier (DOI) for the plate 25902 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25903
title: Digital object identifier (DOI) for the plate 25903 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25904
title: Digital object identifier (DOI) for the plate 25904 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25905
title: Digital object identifier (DOI) for the plate 25905 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25906
title: Digital object identifier (DOI) for the plate 25906 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25907
title: Digital object identifier (DOI) for the plate 25907 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_25908
title: Digital object identifier (DOI) for the plate 25908 in archive 104 from the APPLAUSE DR3