cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23954799
title: The Proximate Composition, Amino Acid Profile, Fatty Acid Content, and Mineral Content of Scale Flour from Three Fish Species as Potential Feeds for Fish Fry

description: <b>Background</b>: Fish scale waste is highly valued both as a food additive and as a functional food ingredient. This study aimed to analyse the chemical composition, fatty acid profile, and mineral content in fish scale flour of Osphronemus (O) goramy, Cyprinus (C) carpio, and Oreochromis (O) niloticus as potential feed for fish fry.<b>Methods:</b> Fish scales were cleaned with 10% w/v NaCl solution at a ratio of 1:10 (w/w) for 24 hours at 4 °C. Agitation was used every eight hours to remove excess protein. Fish scales were evenly arranged in a cooker and cooked at 121 °C for 10 minutes with 15 psi pressure. After cooking, 100 grams of wet fish scales was dried at 50 °C for four hours. Dried fish scales were processed into flour for analysis of chemical composition, amino acid content, fatty acid content, and mineral content.<b>Results:</b> Significant content differences were observed for most chemical components, amino acids, and minerals (p&lt;0.01) in the examined fish scale flour of three fish species, with the crude protein content ranging from 49.52% to 72.94% and the fat content ranging from 0.11% to 0.23%. The magnesium mineral content varied between 767.82 and 816.50 mg/kg, while the calcium content ranged from 3.54 to 12.16 mg/kg. The iron content was within the interval of 40.46 to 44.10 mg/kg, and the zinc content exhibited variability ranging from 45.80 to 139.19 mg/kg. Glycine was the predominant free amino acid (FAA) across all species, with concentrations varying from 13.70% to 16.08%, while histidine had the lowest content, ranging from 0.39% to 0.71%. Conversely, the fatty acid content was lowest among the three species, ranging from 6.73% to 9.48%.<b>Conclusion:</b> Scale flour from three farmed fish types showed potential for fish fry feed due to its chemical composition and amino acid and mineral contents. To enhance the essential fatty acid content, enriching the flour with oils containing eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and α-linolenic acid (ALA) is essential.
DOI: 10.21954/ou.rd.19714552
title: Qualitative data for Amplifying Disabled Identities: Invisible Disabilities in Personal Independence Payment Assessments and Appeals (PhD Thesis).

description: These documents contain the transcripts of semi-structured interviews and semi-reflective accounts. Interviews were conducted online between February and November 2020 with Welfare Benefits Advisers. These were conducted for Alexandra Murray's PhD thesis: Amplifying Disabled Identities: Invisible Disabilities in the Personal Independence Payment Assessments and Appeals. <br> <br> The transcripts and written reflections have been anonymised, with identifying names and places removed, or replaced with pseudonyms.
DOI: 10.5517/cc6bk35
title: CCDC 188886: Experimental Crystal Structure Determination

description: Related Article: A.A.Pasynskii, F.S.Denisov, A.N.Grechkin, I.V.Skabitskii, Yu.V.Torubayev, Zh.V.Dobrokhotova, G.G.Aleksandrov, K.A.Lyssenko|2001|Zh.Neorg.Khim.|46|1984|
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: 10.26050/wdcc/ar6.c6cdnrces
title: IPCC DDC: NCAR CESM2 model output prepared for CMIP6 CDRMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CDRMIP.NCAR.CESM2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CESM2 climate model, released in 2018, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.18712/nsd-nsd1165-v1
title: Follow up of Tsunami Victims by General Practitioners

description: The purpose of the project was to investigate how the general practitioners' follow-up of the victims after the tsunami disaster in Southeast Asia in 2004 worked.

The project was part of a larger research program on the consequences of the tsunami disaster commissioned by the Norwegian Centre for Violence and Traumatic Stress Studies (NKVTS) from the Directorate of Health and Social Affairs. The survey was based on a questionnaire to all general practitioners who had people who had been present in the disaster area on their patient lists. In addition, data from a questionnaire to homecomings from the disaster area were also included.

In this disaster, the follow-up of the victims was for the first time largely based on using the ordinary health service by having the general practitioners commissioned to contact the affected people on their patient lists. The survey showed that only half of the doctors received the overview of which people they should contact, and that over 40 percent of those who received the overviews still did not contact the relevant people. Whether the doctor made contact or not seems to be related to how they related to the task, those who were positive made more contact. However, attitudes to the task did not seem to affect the assistance they gave patients when contact was established. It also seems that most of those who needed help got it, but it was to some extent due to the fact that those who needed it also themselves made contact with the doctors. At the same time, the survey suggests that those who were contacted by the doctor were more satisfied with the assistance than those who had to establish contact themselves.
DOI: 10.5281/zenodo.8242508
title: Data Files for "Low-Temperature Specific Heat Capacity of Water--Ammonia Mixtures Down to the Eutectic"

description: The zip file contains all data files and plots used and created in the publication:<br> Low-Temperature Specific Heat Capacity of Water--Ammonia Mixtures Down to the Eutectic
DOI: 10.5281/zenodo.8242509
title: Data Files for "Low-Temperature Specific Heat Capacity of Water--Ammonia Mixtures Down to the Eutectic"

description: The zip file contains all data files and plots used and created in the publication:<br> Low-Temperature Specific Heat Capacity of Water--Ammonia Mixtures Down to the Eutectic
DOI: 10.5281/zenodo.8249508
title: Data Files for "Low-Temperature Specific Heat Capacity of Water--Ammonia Mixtures Down to the Eutectic"

description: The zip file contains all data files and plots used and created in the publication:<br> Low-Temperature Specific Heat Capacity of Water--Ammonia Mixtures Down to the Eutectic
DOI: 10.24352/ub.ovgu-2022-083
title: BCF swimmer locomotion pattern experiments an a flexible robotic fish

description: Fish perform complex motion patterns for an efficient and powerful propulsion. Bio-inspired fish alike robots still fail to fully reproduce those locomotion due to technical constraints such as different mass distribution or significant lower artificial actuation power-to-density ratios. Recent studies describe a significant role of the head motion for an efficient propulsion. However while the tail motion has been studies extensively, the head motion is still not fully understood and contradictory findings regarding its impact were published even recently. In fact, the head motion is due to a complex fluid-fish interaction and it's active control is challenging.
DOI: 10.26050/wdcc/ar6.c6cdnccnl
title: IPCC DDC: NCC NorESM2-LM model output prepared for CMIP6 CDRMIP

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CDRMIP.NCC.NorESM2-LM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.6084/m9.figshare.23955210
title: The Main Trends in the Development of the Agro-Industrial Complex in Russia in the 1990-s

description: The article summarizes the historical experience of reforms in the agro-industrial complex of Russia in the transition period of the 1990-s, on the basis of which recommendations for further development of the industry are proposed. The author concludes about the crisis state of the agro-industrial complex of Russia in the mid-1990-s, caused by the long underestimation of the importance of this sphere in the socio-economic life of the country. At the beginning of perestroika, agriculture was still considered by the party-state leadership as the main source of material and demographic resources for the development of heavy industry.<br>
DOI: 10.6084/m9.figshare.23955210.v1
title: The Main Trends in the Development of the Agro-Industrial Complex in Russia in the 1990-s

description: The article summarizes the historical experience of reforms in the agro-industrial complex of Russia in the transition period of the 1990-s, on the basis of which recommendations for further development of the industry are proposed. The author concludes about the crisis state of the agro-industrial complex of Russia in the mid-1990-s, caused by the long underestimation of the importance of this sphere in the socio-economic life of the country. At the beginning of perestroika, agriculture was still considered by the party-state leadership as the main source of material and demographic resources for the development of heavy industry.<br>
DOI: 10.6084/m9.figshare.23955315
title: Preparing for, coping with and bouncing back after shocks. A nuanced resilience assessment for smallholder farms and farmers in Northern Ghana

description: Smallholder farmers in Northern Ghana regularly face shocks, challenging the sustainability of their farms and livelihoods. Different farm households and household members may be differently affected and respond with different coping strategies. We combined whole-farm modelling and farmer consultations to investigate the vulnerability, buffer and adaptive capacity of three farm types in Northern Ghana towards severe climate, economic and social shocks. We further assessed intra-household differences in respective risk mitigation and coping strategies. Our model results indicate that the drought shock would most severely affect all farm types, drastically reducing their operating profits and soil organic matter balance. The medium resource endowed farm was most affected by shocks, but all farm types could enhance their capacity to recover by adopting technology packages for sustainable intensification. Gendered coping strategies included livestock sales, post-harvest storage, activating social networks, rice processing and the collection, processing and sales of wild nuts and fruits. Farmers reported to aim at becoming more resilient by increasing their herd size and expanding their farmland, thereby risking to increase rather than reduce the pressure on natural resources. New questions arise concerning the carrying capacity of local ecosystems and resilience at community and landscape level.
DOI: 10.6084/m9.figshare.23955315.v1
title: Preparing for, coping with and bouncing back after shocks. A nuanced resilience assessment for smallholder farms and farmers in Northern Ghana

description: Smallholder farmers in Northern Ghana regularly face shocks, challenging the sustainability of their farms and livelihoods. Different farm households and household members may be differently affected and respond with different coping strategies. We combined whole-farm modelling and farmer consultations to investigate the vulnerability, buffer and adaptive capacity of three farm types in Northern Ghana towards severe climate, economic and social shocks. We further assessed intra-household differences in respective risk mitigation and coping strategies. Our model results indicate that the drought shock would most severely affect all farm types, drastically reducing their operating profits and soil organic matter balance. The medium resource endowed farm was most affected by shocks, but all farm types could enhance their capacity to recover by adopting technology packages for sustainable intensification. Gendered coping strategies included livestock sales, post-harvest storage, activating social networks, rice processing and the collection, processing and sales of wild nuts and fruits. Farmers reported to aim at becoming more resilient by increasing their herd size and expanding their farmland, thereby risking to increase rather than reduce the pressure on natural resources. New questions arise concerning the carrying capacity of local ecosystems and resilience at community and landscape level.
DOI: 10.5517/ccdc.csd.cc219d1t
title: CCDC 1885855: Experimental Crystal Structure Determination

description: Related Article: Anthony Linden, Samir El-Rayes, Khaled Abou-Hadeed, Hans-Juergen Hansen|2018|CSD Communication|||
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.cc2cn1qt
title: CCDC 2194016: Experimental Crystal Structure Determination

description: Related Article: Meng-Ying SUN, Mo Xie, Chuang-Wei Zhou, Xue-Zhi Wang, Zhao-Xia Lian, Zi-Ye Chen, Yong-Liang Huang, Xiao-Ping Zhou, Dan Li|2023|CSD Communication|||
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: 10.5281/zenodo.7270759
title: Data files for:Critical assessment of the chemical space covered by LC-HRMS non-targeted analysis

description: This upload contains the data for the review: "Critical assessment of the chemical space covered by LC-HRMS non-targeted analysis". All the files needed to run the code uploaded to GitHub (https://github.com/tobihul/CEC_review_code) can be found here. Included is: All 2657 structures found in the studied papers with their CID, InChIKey, and SMILES and whether they can be found in MassBank All the experimental parameters retrieved for each study in each category along with the general scope of each study The file with the CID, MW, XLogP3 and experimental parameters for each of the 61 papers The CSV file containing all classes of each of the compounds from the papers The CSV with all of the structures used to plot the chemical space of NORMAN SusDat (their CIDs)
DOI: 10.5281/zenodo.7270760
title: A review of recent non-target analysis methods and their perceived chemical space applied to the identification of chemicals of emerging concern

description: This upload is a supplement to the review: "A review of recent non-target analysis methods and their perceived chemical<br> space applied to the identification of chemicals of emerging concern". Included are: -The Julia code used for a all data processing -All the raw CSV files with the compounds from each study used in the code inlcuding the NORMAN susdat csv -An excel file with all compounds from papers in the form of: CID, InChIKey, and SMILES -An excel with the raw tables used to note all the parameters from papers
DOI: 10.5281/zenodo.7774345
title: Data files for: Critical assessment of covered chemical space with LC-HRMS non-targeted analysis

description: This upload contains the data for the review: "Critical assessment of covered chemical space with LC-HRMS non-targeted analysis". All the files needed to run the code uploaded to GitHub (https://github.com/tobihul/CEC_review_code) can be found here. Included is: All 2277 strutures found in the studied papers with their CID, InChIKey, and SMILES and whether they can be found in MassBank All the experimental parameters retrieved for each study in each category along with the general scope of each study The file with the CID, MW, XLogP3 and experimental parameters for each of the 57 papers 3 CSVfiles containing all the information needed to extract the classes of each strucure using the Julia code (Part A, B and C) The CSV with all of the structures used to plot the chemical space of NORMAN SusDat (their CIDs)
DOI: 10.5281/zenodo.8249216
title: Data files for:Critical assessment of the chemical space covered by LC-HRMS non-targeted analysis

description: This upload contains the data for the review: "Critical assessment of the chemical space covered by LC-HRMS non-targeted analysis". All the files needed to run the code uploaded to GitHub (https://github.com/tobihul/CEC_review_code) can be found here. Included is: All 2657 structures found in the studied papers with their CID, InChIKey, and SMILES and whether they can be found in MassBank All the experimental parameters retrieved for each study in each category along with the general scope of each study The file with the CID, MW, XLogP3 and experimental parameters for each of the 61 papers The CSV file containing all classes of each of the compounds from the papers The CSV with all of the structures used to plot the chemical space of NORMAN SusDat (their CIDs)
DOI: 10.25405/data.ncl.23803962
title: Characterisation of reduced graphene oxide prepared by the laser reduction of graphene oxide.

description: The work looked to examine the effects of laser reducing graphene oxide under different ambient environments. This dataset is the characterisation of the resulting reduced graphene oxide.
DOI: 10.25405/data.ncl.23803962.v1
title: Characterisation of reduced graphene oxide prepared by the laser reduction of graphene oxide.

description: The work looked to examine the effects of laser reducing graphene oxide under different ambient environments. This dataset is the characterisation of the resulting reduced graphene oxide.
DOI: 10.24378/exe.1403
title: Hybridization of multiple vibrational modes via strong coupling using confined light fields (dataset)

description: This is the dataset used for the Menghrajani et al. (2019) article "Hybridization of multiple vibrational modes via strong coupling using confined light fields" published in the journal of Advanced Optical Materials.
description: The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/37513
DOI: 10.24378/exe.383
title: Testing hydrodynamics schemes in galaxy disc simulations (dataset)

description: This is the dataset used for the Few et al. (2016) article "Testing hydrodynamics schemes in galaxy disc simulations" published in Monthly Notices of the Royal Astronomical Society.
description: Data from SPH simulations. To view file, use the program splash (http://users.monash.edu.au/~dprice/splash/).
description: The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/24484
DOI: 10.34740/kaggle/dsv/6306706
title: Global Genomic Neurofibromatosis Neoplasia