cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/97ce0a99-bdaa-4fbf-b548-f6d85c017915
title: Frequency and Time Response Data presented in the publication: The Influence of Floating Turbine Dynamics on the Helix Wake Mixing Method

description: Dear user,<br>This data repository contains all the information used in the linked Torque 2024 paper. There are three folders,each containing data corresponding to one part of the results presented in the paper. Each folder contains the data in a .mat format and a script that opens this data set and processes it to recreate the same images used in the paper.<br>-- Frequency IdentificationThe folder 'Frequency_Identification_Data' contains the input-output data used to create the frequency response functions (frf). The data includes, among the 4 turbines analyzed, the responses for the OC4 floating turbine, the IEA 15MW turbine and the Hexafloat turbine. Line 10 in the Matlab code indicates which entry corresponds to which turbine. The frfs are created using a system identification toolbox developed at the TU Delft. These functions are included in the Functions subfolder located in the Frequency_Identification_Data folder. The system responses are created in lines 41-51 and look like:<br>[G_Surge,sys_Surge,~] = id_funcs(detrend(squeeze(PitchYaw)),detrend(squeeze(Turbine1_data(:,12))),dt,4,6) ;<br>This line of code uses the Matlab function id_funcs to calculate the input-output spectrum between the blade pitch signals and the floating turbine surge motion. This spectrum is contained in the sys_Surge variable. G_surge contains a state space model that is fitted to this spectrum. The last three inputs are the sampling time, resampling and model order. The last two are only required for model fitting. The contents of the id_funcs are taken from: https://www.dcsc.tudelft.nl/~jwvanwingerden/pbsid/pbsidtoolbox_product_page.html. The Hexafloat experiment was done at a later stage and added afterwards, hence it has its own for-loop for identification. After identification has been done (this can take some time), the same figures as those shown in the manuscript are created.<br>-- Time Domain Data.The time domain data used in the paper can be found in the 'Prescribed_Motion_Data' and 'Time_Domain_Data'. Both folder contains a .mat data file containing the wind speeds measured at the locations mentioned in each case's work and a Matlab script to analyze this data and create the figures as shown in the work. The function crameri.m together with the CrameriColourMaps7.0.mat is required to get the same colour maps. These colourmaps are designed to represent the data best, for more information see: https://www.fabiocrameri.ch/colourmaps/.<br>All of the scripts were tested in MATLAB R2022b. <br>-- Update 15-03-2024 --An updated version ("V2") of the data has been added to the upload. This data set contains an extra measurement with only dynamic yaw for the 'Prescribed_Motion_Data'. This was added at the request of a reviewer.
DOI: 10.4121/97ce0a99-bdaa-4fbf-b548-f6d85c017915.v2
title: Frequency and Time Response Data presented in the publication: The Influence of Floating Turbine Dynamics on the Helix Wake Mixing Method

description: Dear user,<br>This data repository contains all the information used in the linked Torque 2024 paper. There are three folders,each containing data corresponding to one part of the results presented in the paper. Each folder contains the data in a .mat format and a script that opens this data set and processes it to recreate the same images used in the paper.<br>-- Frequency IdentificationThe folder 'Frequency_Identification_Data' contains the input-output data used to create the frequency response functions (frf). The data includes, among the 4 turbines analyzed, the responses for the OC4 floating turbine, the IEA 15MW turbine and the Hexafloat turbine. Line 10 in the Matlab code indicates which entry corresponds to which turbine. The frfs are created using a system identification toolbox developed at the TU Delft. These functions are included in the Functions subfolder located in the Frequency_Identification_Data folder. The system responses are created in lines 41-51 and look like:<br>[G_Surge,sys_Surge,~] = id_funcs(detrend(squeeze(PitchYaw)),detrend(squeeze(Turbine1_data(:,12))),dt,4,6) ;<br>This line of code uses the Matlab function id_funcs to calculate the input-output spectrum between the blade pitch signals and the floating turbine surge motion. This spectrum is contained in the sys_Surge variable. G_surge contains a state space model that is fitted to this spectrum. The last three inputs are the sampling time, resampling and model order. The last two are only required for model fitting. The contents of the id_funcs are taken from: https://www.dcsc.tudelft.nl/~jwvanwingerden/pbsid/pbsidtoolbox_product_page.html. The Hexafloat experiment was done at a later stage and added afterwards, hence it has its own for-loop for identification. After identification has been done (this can take some time), the same figures as those shown in the manuscript are created.<br>-- Time Domain Data.The time domain data used in the paper can be found in the 'Prescribed_Motion_Data' and 'Time_Domain_Data'. Both folder contains a .mat data file containing the wind speeds measured at the locations mentioned in each case's work and a Matlab script to analyze this data and create the figures as shown in the work. The function crameri.m together with the CrameriColourMaps7.0.mat is required to get the same colour maps. These colourmaps are designed to represent the data best, for more information see: https://www.fabiocrameri.ch/colourmaps/.<br>All of the scripts were tested in MATLAB R2022b. <br>-- Update 15-03-2024 --An updated version ("V2") of the data has been added to the upload. This data set contains an extra measurement with only dynamic yaw for the 'Prescribed_Motion_Data'. This was added at the request of a reviewer.
DOI: 10.25500/edata.bham.00001075
title: Thermospheric neutral density scaling factors to account for future CO2 scenarios

description: Methodology fully described by Brown 2024 (in prep): Future Climate Change in the Thermosphere under Varying Solar Activity Conditions.
DOI: 10.6073/pasta/ab29c15538e75cafd4a43a30d8033cec
title: Mass and Chemistry of Organic Horizons and Surface Mineral Soils on Watershed 6 at the Hubbard Brook Experimental Forest, 1976 - present

description: The forest floor of Watershed 6 was first sampled in 1969-70. These data include forest floor thickness, soil mass, organic matter content, and major-element composition for samples collected since 1976. Watershed 6 has been resampled at intervals varying from one to ten years. Sampling at five to ten year intervals is expected to continue.
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.5517/ccdc.csd.cc2djbbm
title: CCDC 2220230: Experimental Crystal Structure Determination

description: Related Article: Liuyang Jing, Evelyne Deplazes, Jack K. Clegg, Xin Wu|2024|Nature Chemistry|16|335|doi:10.1038/s41557-024-01457-5
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.cc2djmg1
title: CCDC 2220513: Experimental Crystal Structure Determination

description: Related Article: Liuyang Jing, Evelyne Deplazes, Jack K. Clegg, Xin Wu|2024|Nature Chemistry|16|335|doi:10.1038/s41557-024-01457-5
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.cc2g082v
title: CCDC 2264366: Experimental Crystal Structure Determination

description: Related Article: Changshui Yang, Houli Jiang, Haoyu Mao, Yue Zhang, Yinxue Cao, Yanyan Zhang, Hongyan Yu, Mengying Lv, Hairong Xu, Xiaoyun Dong, Li Tao|2024|Phytochemistry|221|114035|doi:10.1016/j.phytochem.2024.114035
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.cc2g083w
title: CCDC 2264367: Experimental Crystal Structure Determination

description: Related Article: Changshui Yang, Houli Jiang, Haoyu Mao, Yue Zhang, Yinxue Cao, Yanyan Zhang, Hongyan Yu, Mengying Lv, Hairong Xu, Xiaoyun Dong, Li Tao|2024|Phytochemistry|221|114035|doi:10.1016/j.phytochem.2024.114035
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.cc2g084x
title: CCDC 2264368: Experimental Crystal Structure Determination

description: Related Article: Changshui Yang, Houli Jiang, Haoyu Mao, Yue Zhang, Yinxue Cao, Yanyan Zhang, Hongyan Yu, Mengying Lv, Hairong Xu, Xiaoyun Dong, Li Tao|2024|Phytochemistry|221|114035|doi:10.1016/j.phytochem.2024.114035
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: 10.15468/vcxzs6
title: Sea-ice meiofauna biodiversity from the Nansen Legacy cruise Q3 (cruise number: 2019706)

description: The data was collected during the Nansen Legacy seasonal study (Q3, cruise number: 2019706) from 05-27 August 2019 onboard the research vessel RV Kronprins Haakon, along a transect in the northern Barents Sea from 76N to 82N. The dataset contains abundance and biomass of sea-ice meiofauna (&gt; 20 µm) including large protists such as foraminifers and ciliates and metazoans eggs. Sea-ice meiofauna were identified and counted with stereo microscopy and result are given as Individuals per liter (cells/L) and Individuals per square meter (Ind/m2). Biomass (μg C Ind.-1) was only determined for alive individuals according to carbon contents for ice meiofauna taxa based on literature summarized in Ehrlich et al. (2021, doi: https://doi.org/10.1525/elementa.2020.00169), and carbon values for foraminifers were provided by de Freitas et al. (2021) for benthic species (Bolivinia sp.: 0.00875 μg C Ind.-1; Elphidium sp.: 0.126 μg C Ind.-1, https://doi.org/10.2113/gsjfr.51.4.249) and Anglada-Ortiz et al. (submitted to PiO) for the pelagic species Neogloboquadrina pachyderma (0.0013 μg C Ind.-1).
DOI: 10.23708/prdtys
title: Health state of the tunisian population evaluated by the Tunisian Health Examination Survey (THES-2016): data and documentations

description: The Tunisian Health Examination Survey (THES-2016) is a representative national survey conducted by the National Institute of Health-Tunisia with the support of the Ministry of Health-Tunisia and the World Health Organization (WHO) , in collaboration with the National Office for Family and Population - Tunisia, the Research laboratory in Epidemiology and Prevention of Cardiovascular Diseases - Tunisia and the Tunisian Society of Endocrinology Diabetes and Metabolic Diseases. The objective of this survey is to analyze the state of health of the population, its determining factors as well as the consequences of illnesses and the use of health care services. Data collection in the field took place between March 9, 2016 and June 4, 2016 by administering two questionnaires: Household questionnaire: covered the usual demographic parameters: age, sex and rural-urban residence as well as access to water and sanitation, access to necessary care, use outpatient and inpatient care, health insurance coverage, responsiveness of the health care system, total and household health expenditure and death registration coverage. Individual questionnaire for people aged 15 and over: focused on risky behavior (alcohol, tobacco, etc.), overall health as perceived by respondents and medical history. Anthropometric and functional measurements as well as blood tests were also carried out. Women of childbearing age were also asked about their reproductive health state and the vaccination coverage of their children under 5 years old. We had the agreement of 5079 households to participate in the survey from which we were able to obtain information on the state of health of 9212 individuals aged 15 and over and randomly selected among the people living in the households visited (1 Male, 1 Female from each household).
DOI: 10.15468/cuvtj3
title: Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC1-2 (cruise number: 2018707)

description: The data was collected during the Nansen Legacy joint cruise (JC1-2, cruise number: 2018707) from 06-23 August 2018 onboard the research vessel RV Kronprins Haakon, along a transect in the northern Barents Sea from 76N to 82N. The dataset contains abundance and biomass of sea-ice meiofauna (&gt; 20 µm) including large protists such as foraminifers and ciliates and metazoans eggs. Sea-ice meiofauna were identified and counted with stereo microscopy and result are given as Individuals per liter (cells/L) and Individuals per square meter (Ind/m2). Biomass (μg C Ind.-1) was only determined for alive individuals according to carbon contents for ice meiofauna taxa based on literature summarized in Ehrlich et al. (2021, doi: https://doi.org/10.1525/elementa.2020.00169), and carbon values for foraminifers were provided by de Freitas et al. (2021) for benthic species (Bolivinia sp.: 0.00875 μg C Ind.-1; Elphidium sp.: 0.126 μg C Ind.-1, https://doi.org/10.2113/gsjfr.51.4.249) and Anglada-Ortiz et al. (submitted to PiO) for the pelagic species Neogloboquadrina pachyderma (0.0013 μg C Ind.-1).
DOI: 10.15468/dfz5gb
title: Sea-ice meiofauna biodiversity from the Nansen Legacy joint cruise JC2-2 (cruise number: 2021710)

description: The data was collected during the Nansen Legacy joint cruise (JC2-2, cruise number: 2021710) from 24.08 - 25.09.2021 onboard the research vessel RV Kronprins Haakon, along a transect in the Arctic Basin from 81N to 87N. The dataset contains abundance and biomass of sea-ice meiofauna (&gt; 20 µm) including large protists such as foraminifers and ciliates and metazoans eggs. Sea-ice meiofauna were identified and counted with stereo microscopy and result are given as Individuals per liter (cells/L) and Individuals per square meter (Ind/m2). Biomass (μg C Ind.-1) was only determined for alive individuals according to carbon contents for ice meiofauna taxa based on literature summarized in Ehrlich et al. (2021, doi: https://doi.org/10.1525/elementa.2020.00169), and carbon values for foraminifers were provided by de Freitas et al. (2021) for benthic species (Bolivinia sp.: 0.00875 μg C Ind.-1; Elphidium sp.: 0.126 μg C Ind.-1, https://doi.org/10.2113/gsjfr.51.4.249) and Anglada-Ortiz et al. (submitted to PiO) for the pelagic species Neogloboquadrina pachyderma (0.0013 μg C Ind.-1).
DOI: 10.11588/data/hmrsvo
title: Efficient Intramolecular Singlet Fission in Spiro-Linked Heterodimers [research data]

description: We investigate intramolecular singlet fission (iSF) of spiro-linked azaacene heterodimers by time-resolved spectroscopy and quantum chemical calculations. Combining two different azaacenes through a nonconjugated linker using condensation chemistry furnishes azaacene heterodimers. Compared to their homodimers, iSF quantum yields are improved at an extended absorption range. The driving force of iSF, the energy difference between the S1 state and the correlated triplet pair 1(TT), is tuned by the nature of the heterodimers. iSF is exothermic in all of the herein studied molecules. The overall quantum yield for triplet exciton formation reaches approximately 174%. This novel concept exploits large energy differences between singlet electronic states in combination with spatially fixed chromophores, which achieves efficient heterogeneous iSF, if the through-space interaction between the chromophores is minimal.
DOI: 10.34808/nd6b-gm40
title: Validation of polyurethane-wood composites properties

description: This study focuses on the development of the PU-WC manufacturing method, the determination of properties of this type of composite, and the indication of its potential application. The mechanical properties of PU-WC were characterized by flexural tests. To determine the thermal properties, dynamic mechanical analysis (DMA) and thermogravimetric analysis (TGA) were conducted The structure of PU-WC before and after cyclic water adsorption tests was characterized by scanning electron microscopy (SEM).
DOI: 10.34808/zqqm-cf70
title: Influence of bio-polyols with different molecular weight on properites of PUR-PIR foams

description: This work attempts to validate the possibility of replacing petrochemical polyols with previously synthesized bio-polyols and their impact on the structure and properties of rigid polyurethane-polyisocyanurate (PUR-PIR). The influence of bio-polyols addition on foam properties was investigated by mechanical testing, Fourier transform infrared spectroscopy (FTIR), and thermogravimetric analysis (TGA). The structure was determined by scanning electron microscopy (SEM).
DOI: 10.34808/ay80-n653
title: Two-sites layered electrocatalysts for ammonia electrooxidation

description: The dataset contains the results of the XRD and FTIR analysis of single metal layered α-Ni(OH)2, β-Ni(OH)2 or double metal layered NiCu hydroxides hydrothermally deposited on nickel foam.
DOI: 10.34808/dcer-z739
title: Barrett-Joyner-Halenda (BJH) and Brunauer-Emmett-Teller (BET) analysis of wood and straw based biochars

description: This data set includes the BJH and BET analysis results for straw and wood chips-based biochars generated at 450 Celsius degrees.
The specific surface area and pore size distribution were determined using the Quantachrome NOVAtouch LX1 Surface Analyzer. The Brunauer-Emmett-Teller (BET) equation was used to determine the specific surface area, while the Barret-Joyner-Halenda (BJH) model was applied to calculate the pore size distribution.
Project title: Energy BIOmass CULtivation on marginal soils enhanced with biochar amendments fertilized with by-product in order to reduce nutrients leaching (eBIOCOOL) (3/2022/IDUB/II.2/Sc)
DOI: 10.34808/c6zc-kb69
title: Scanning Electrone Microscope images of biochar produced from straw and wood chips

description: This dataset contains scanning electron microscope images of two types of biochars derived from waste plant biomass: straw and wood chips. Imaging was performed using a scanning electron microscope, FEI Quanta FEG250. with a SE-ETD detector (secondary electron – Everhart-Thornley detector), using 20 kV accelerating voltage. 
Project title: Energy BIOmass CULtivation on marginal soils enhanced with biochar amendments fertilized with by-product in order to reduce nutrients leaching (eBIOCOOL) (3/2022/IDUB/II.2/Sc).
DOI: 10.5678/x6w8-ys44
title: Functional traits and local soil properties of RESPECT trees
title: Functional traits and local soil properties of RESPECT trees

description: We measured leaf, stem, and fine root functional traits, and individual-level soil nutrient availability for 433 trees from 52 species in the RESPECT plots at Bombuscaro, San Francisco, and Cajanuma. The associated publication "Above- and belowground strategies of tropical montane tree species are coordinated and driven by small-scale nitrogen availability" is accepted in Functional Ecology (2024-03-13).<br>
DOI: 10.6084/m9.figshare.25416577
title: <b>Unlabeled judgments from JEC-UFSC</b>

description: This repository has the 300 raw judgments used during the experimentation for the paper "Using GPT-4 as a Factor Extractor for Brazilian Consumer Law Judgments". It also store the raw logs with the OpenAI API responses.
DOI: 10.5281/zenodo.10802990
title: Ice-penetrating radar data used in paper "Evaluating and locating a suitable bedrock drilling site near Zhongshan Station with airborne and ground-based observations"

description: These are the ice-penetrating radar data used in Figure 4 of the paper "Evaluating and locating a suitable bedrock drilling site near Zhongshan Station with airborne and ground-based observations".

The"read_image.m" file can be used to re-display Figure 4(a) of the paper, where the "x.mat", "y.mat", and "radar_profile_data.mat" are the x and y coordinates of the survey line, and the return power of the ice-penetrating radar data, respectively.

The "Data_of_profile_A-A'(Figure_4b).xlsx" file includes two sheets. One is the "subglacial topography" sheet, which includes information about longitude, latitude, ice thickness, bed elevation, and hydraulic potential along the profile A-A'. The other sheet is the "BRP" sheet, which includes information about bed reflection power along the profile A-A'.
DOI: 10.5281/zenodo.10802989
title: Ice-penetrating radar data used in paper "Evaluating and locating a suitable bedrock drilling site near Zhongshan Station with airborne and ground-based observations"

description: These are the ice-penetrating radar data used in Figure 4 of the paper "Evaluating and locating a suitable bedrock drilling site near Zhongshan Station with airborne and ground-based observations".

The"read_image.m" file can be used to re-display Figure 4(a) of the paper, where the "x.mat", "y.mat", and "radar_profile_data.mat" are the x and y coordinates of the survey line, and the return power of the ice-penetrating radar data, respectively.

The "Data_of_profile_A-A'(Figure_4b).xlsx" file includes two sheets. One is the "subglacial topography" sheet, which includes information about longitude, latitude, ice thickness, bed elevation, and hydraulic potential along the profile A-A'. The other sheet is the "BRP" sheet, which includes information about bed reflection power along the profile A-A'.
DOI: 10.5281/zenodo.10811203
title: support data
DOI: 10.5281/zenodo.10811202
title: support data
DOI: 10.5281/zenodo.10811194
title: Pulsars detected in the GP survey in only Stokes I images

description: The known pulsars detected in the GP survey in only Stokes I images. The mean flux density of the pulsars from the Stokes I image from this work is denoted by SI and the flux density from the Stokes V image is denoted by SV. α refers to the spectral index of the pulsars. Only two of the pulsars, PSRs J1614- 5048 and J1644-4559 have a previously recorded flux density below 300 MHz by Frail et al. (2016). For the 14 remaining pulsars, this is the first low-frequency detections below 300 MHz.
DOI: 10.5281/zenodo.10811195
title: Pulsars detected in the GP survey in only Stokes I images

description: The known pulsars detected in the GP survey in only Stokes I images. The mean flux density of the pulsars from the Stokes I image from this work is denoted by SI and the flux density from the Stokes V image is denoted by SV. α refers to the spectral index of the pulsars. Only two of the pulsars, PSRs J1614- 5048 and J1644-4559 have a previously recorded flux density below 300 MHz by Frail et al. (2016). For the 14 remaining pulsars, this is the first low-frequency detections below 300 MHz.