cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6092/dfe8bcc1-4d97-4962-9857-d3f8e0ce1fc6
title: Black Sea - DIVA 4D 6-year seasonal analysis of Water body phosphate 1970/2018 v2021

description: Moving 6-year analysis of Water_body_phosphate in the Black Sea for each season: spring (March-May), summer (June-August), autumn (September-November), winter (December-February). Every year of the time dimension corresponds to the 6-years centred average of each season. <br>6-years periods span: from 1970-1975 until 2013-2018<br>Depth range (IODE standard depths): -200.0, -150.0, -125.0, -100.0, -75.0, -50.0,-40.0, -30.0, -20.0, -10.0, -5.0, -0.0. <br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. <br>Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO 1min topography is used for the contouring preparation. Analysed field masked using relative error threshold 0.3 and 0.5 DIVA settings: signal-to-noise ratio and correlation length were estimated using data mean distance as a minimum (for L) and vertically filtered. Log transformation was used in the analyses. Background field: the data mean value is subtracted from the data. Detrending of data: no, Advection constraint applied: no. Units: umol/l.<br>The entire set of related maps can be found in the viewing service: http://ec.oceanbrowser.net/emodnet/
DOI: 10.6092/9521c33f-d8d1-4576-b184-6651c1c0145b
title: Black Sea - DIVA 4D 6-year seasonal analysis of Water body silicate 1970/2018 v2021

description: Moving 6-year analysis of Water_body_silicate in the Black Sea for each season: spring (March-May), summer (June-August), autumn (September-November), winter (December-February). Every year of the time dimension corresponds to the 6-years centred average of each season.<br>6-years periods span: from 1970-1975 until 2013-2018<br>Depth range (IODE standard depths): -200.0, -150.0, -125.0, -100.0, -75.0, -50.0,-40.0, -30.0, -20.0, -10.0, -5.0, -0.0.<br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br>Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO 1min topography is used for the contouring preparation. Analysed field masked using relative error threshold 0.3 and 0.5 DIVA settings: signal-to-noise ratio and correlation length were estimated using data mean distance as a minimum (for L) and vertically filtered. Log transformation was used in the analyses. Background field: the data mean value is subtracted from the data. Detrending of data: no, Advection constraint applied: no. Units: umol/l.
DOI: 10.6092/80466a9d-1b90-4ca8-a95f-ac78723ce10a
title: Black Sea - Eutrophication and Acidity aggregated datasets 1935/2016 v2018

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets. This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Ocean acidification (15 parameters with quality flag indicators), and covers the Black Sea, Sea of Marmara and Sea of Azov with 46616 CDI records. Data were aggregated and quality controlled by 'National Institute for Marine Research and Development "Grigore Antipa" from Romania.
description: Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions (https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium."" Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/."" Detailed documentation is available at: https://doi.org/10.6092/ec8207ef-ed81-4ee5-bf48-e26ff16bf02e"" The aggregated dataset can be downloaded as ODV spreadsheet, which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV)."" The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.5281/zenodo.7961851
title: Hyperlocal Environmental Data with a Mobile Platform

description: This document provides expanded definitions, units, and more information on the data provided in the .CSV files collected using the City Scanner platform, MIT Senseable City Lab over the years 2019-2022 <strong>Data Fields</strong> <em>time</em>: The time field is in Unix time and can be converted to local time with a simple script or using online tools. <em>latitude, longitude</em>: The latitude and longitude readings from the devices are determined via GPS and given in degrees for projected corrdinates. <em>pm1, pm25, pm10</em>: The particulate matter (pm) readings from the optical particle counter after calibration. The units for each are instantaneous mass concentrations in μg/m3. <em>no2</em>: The nitrogen dioxide (no2) readings from the gas sensors after conversion and calibration. The unit is instantaneous concentrations in parts per billion (ppb). <em>bin0-bin23</em>: Twenty-four bins from the OPC containing particle number counts for different sizes, ranging from 0.35 to 40 μm. The bin boundary sizes are as follows from bin0 to bin23: 0.35, 0.46, 0.66, 1.0, 1.3, 1.7, 2.3, 3.0, 4.0, 5.2, 6.5, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0 , 20.0, 22.0, 25.0, 28.0, 31.0, 34.0, 37.0, 40.0 temperature: Ambient temperature reading in degrees Celsius. humidity: Ambient relative humidity reading in percentage <strong>Overview of Data Collection Studies</strong> Datasets City Sensing target pollutants Sensing fleet Duration Files New York City (USA) Particulate matter, particle size distribution, NO2 Five municipal vehicles Oct. 2020 - Feb. 2021 Sep. 2021 - Dec. 2021 NYC_Pilot1_PM.csv NYC_Pilot2_NO2_Part1.csv NYC_Pilot2_NO2_Part2.csv NYC_Pilot2_PM_Part1.csv NYC_Pilot2_PM_Part2.csv NYC_Pilot2_PM_Part3.csv Boston (USA) Particulate matter, particle size distribution, NO2 One mobile air laboratory Feb. 2022 - Apr. 2022 Boston_Pilot_PM_NO2.csv Beirut (Lebanon) Particulate matter, particle size distribution Two Taxies Feb. 2022 - Jun. 2022 Beirut_Pilot_PM.csv
DOI: 10.5281/zenodo.7761999
title: Hyperlocal Environmental Data with a Mobile Platform

description: This document provides expanded definitions, units, and more information on the data provided in the .CSV files collected using the City Scanner platform, MIT Senseable City Lab over the years 2019-2022 <strong>Data Fields</strong> <em>time</em>: The time field is in Unix time and can be converted to local time with a simple script or using online tools. <em>latitude, longitude</em>: The latitude and longitude readings from the devices are determined via GPS and given in degrees for projected corrdinates. <em>pm1, pm25, pm10</em>: The particulate matter (pm) readings from the optical particle counter after calibration. The units for each are instantaneous mass concentrations in μg/m3. <em>no2</em>: The nitrogen dioxide (no2) readings from the gas sensors after conversion and calibration. The unit is instantaneous concentrations in parts per billion (ppb). <em>bin0-bin23</em>: Twenty-four bins from the OPC containing particle number counts for different sizes, ranging from 0.35 to 40 μm. The bin boundary sizes are as follows from bin0 to bin23: 0.35, 0.46, 0.66, 1.0, 1.3, 1.7, 2.3, 3.0, 4.0, 5.2, 6.5, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0 , 20.0, 22.0, 25.0, 28.0, 31.0, 34.0, 37.0, 40.0 temperature: Ambient temperature reading in degrees Celsius. humidity: Ambient relative humidity reading in percentage <strong>Overview of Data Collection Studies</strong> Datasets City Sensing target pollutants Sensing fleet Duration Files New York City (USA) Particulate matter, particle size distribution, NO2 Five municipal vehicles Oct. 2020 - Feb. 2021 Sep. 2021 - Dec. 2021 NYC_Pilot1_PM.csv NYC_Pilot2_NO2_Part1.csv NYC_Pilot2_NO2_Part2.csv NYC_Pilot2_PM_Part1.csv NYC_Pilot2_PM_Part2.csv NYC_Pilot2_PM_Part3.csv Boston (USA) Particulate matter, particle size distribution, NO2 One mobile air laboratory Feb. 2022 - Apr. 2022 Boston_Pilot_PM_NO2.csv Beirut (Lebanon) Particulate matter, particle size distribution Two Taxies Feb. 2022 - Jun. 2022 Beirut_Pilot_PM.csv
DOI: 10.6092/e9jp-ra41
title: Black Sea - Eutrophication and Acidity aggregated datasets 1935/2020 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, acidity and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). ITS-90 water temperature and Water body salinity variables have been also included (as-is) to complete the Eutrophication and Acidity data. If you use these variables for calculations, please refer to SeaDataNet for having the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets . This aggregated dataset contains all unrestricted EMODnet Chemistry data on Eutrophication and Acidity (14 parameters with quality flag indicators), and covers the Black Sea, Sea of Marmara and Sea of Azov with 62704 CDI records. Data were aggregated and quality controlled by 'National Institute for Marine Research and Development 'Grigore Antipa' from Romania.<br> Regional datasets concerning eutrophication and acidity are automatically harvested and resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all Sea Regions ( https://doi.org/10.6092/9f75ad8a-ca32-4a72-bf69-167119b2cc12). When not present in original data, Water body nitrate plus nitrite was calculated by summing up the Nitrates and Nitrites. Same procedure was applied for Water body dissolved inorganic nitrogen (DIN) which was calculated by summing up the Nitrates, Nitrites and Ammonium.<br> Parameter names are based on P35, EMODnet Chemistry aggregated parameter names vocabulary, which is available at: https://www.bodc.ac.uk/resources/vocabularies/vocabulary_search/P35/.<br> Detailed documentation is available at: https://dx.doi.org/10.6092/4e85717a-a2c9-454d-ba0d-30b89f742713<br> The aggregated dataset can be downloaded as ODV collection and spreadsheet, which is composed of metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).<br> The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.6092/c8f7f875-7216-4fec-bf42-653cf8b424f9
title: Black Sea DIVA 4D analysis of Water_body_ammonium

description: The "Black Sea DIVA 4D analysis of Water_body_ammonium" is the 4D gridded analysis for Ammonium concentration in the water column in the Black Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1980 to 2013. The depth dimension spans from surface to the seafloor with 9 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/8c07a049-ad7b-48d2-8655-0e9b5858a91d
title: Black Sea DIVA 4D analysis of Water_body_chlorophyll-a

description: The "Black Sea DIVA 4D analysis of Water_body_chlorophyll-a" is the 4D gridded analysis for Chlorophyll pigment concentrations in water bodies in the Black Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 2000 to 2014. The depth dimension spans from surface to the seafloor with 4 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/c61954fc-f7d9-484b-8f95-0ddff5467eba
title: Black Sea DIVA 4D analysis of Water_body_dissolved_oxygen_concentration

description: The "Black Sea DIVA 4D analysis of Water_body_dissolved_oxygen_concentration" is the 4D gridded analysis for Dissolved oxygen parameters in water bodies in the Black Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1970 to 2014. The depth dimension spans from surface to the seafloor with 13 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/03007b20-451c-4585-9a9b-d4cd4ee17e98
title: Black Sea DIVA 4D analysis of Water_body_nitrate

description: The "Black Sea DIVA 4D analysis of Water_body_nitrate" is the 4D gridded analysis for Nitrate concentration parameters in the water column in the Black Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1975 to 2013. The depth dimension spans from surface to the seafloor with 10 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/cee51697-9b01-4e96-bfab-60cc6aee1743
title: Black Sea DIVA 4D analysis of Water_body_nitrate_plus_nitrite

description: The "Black Sea DIVA 4D analysis of Water_body_nitrate_plus_nitrite" is the 4D gridded analysis for Nitrate+nitrite concentration parameters in the water column in the Black Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1976 to 2013. The depth dimension spans from surface to the seafloor with 10 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.34740/kaggle/ds/3205649
title: Extended Covid Twitter Datasets
DOI: 10.6092/7d8c17c6-433c-4aaa-a6e8-69d496f85419
title: Black Sea DIVA 4D analysis of Water_body_phosphate

description: The "Black Sea DIVA 4D analysis of Water_body_phosphate" is the 4D gridded analysis for Phosphate concentration parameters in the water column in the Black Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2013. The depth dimension spans from surface to the seafloor with 14 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/f1d2f12a-b939-4afa-a476-43eecbf7afef
title: Black Sea DIVA 4D analysis of Water_body_silicate

description: The "Black Sea DIVA 4D analysis of Water_body_silicate" is the 4D gridded analysis for Silicate concentration parameters in the water column in the Black Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2013. The depth dimension spans from surface to the seafloor with 12 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/f836dafd-a367-4c6e-997c-d8a53461c86f
title: Combined DIVA 4D 10-year analysis of Water body ammonium

description: Combined product of Water body ammonium based on DIVA 4D 10-year analysis on five regions : Atlantic Sea, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined water body ammonium product is masked using the relative error threshold 0.5. Units: umol/l."" Created by 'University of Liege, GeoHydrodynamics and Environment Research (ULg-GHER)'."" The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Every step of the time dimension corresponds to a 10-year average moving from 1985 to 2014. The depth dimension spans from surface to the seafloor with 30 vertical levels."" The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service:"" http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp"" Intermediate regional data products:"" https://doi.org/10.6092/105C648E-311E-4F2F-AAC9-400933F03BB3"" https://doi.org/10.6092/04F60223-4FE8-4AD9-AC7C-C5771597141B"" https://doi.org/10.6092/C8F7F875-7216-4FEC-BF42-653CF8B424F9"" https://doi.org/10.6092/8EE73DA1-4FA8-4C9D-8F51-F6FCBB8C4179"" https://doi.org/10.6092/29D19C6C-E737-456D-8794-2B1BCCC3A5A5""
DOI: 10.6092/4da518f9-bfea-48df-a3ba-d2fbe39e3c3d
title: Combined DIVA 4D 10-year analysis of Water body chlorophyll-a

description: Combined product of Water body chlorophyll-a based on DIVA 4D 10-year analysis on five regions : Atlantic Sea, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined water body chlorophyll-a product is masked using the relative error threshold 0.5. Units: umol/l."" Created by 'University of Liege, GeoHydrodynamics and Environment Research (ULg-GHER)'."" The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Every step of the time dimension corresponds to a 10-year average moving from 1985 to 2014. The depth dimension spans from surface to the seafloor with 30 vertical levels."" The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service:"" http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp"" Intermediate regional data products:"" https://doi.org/10.6092/77EBCC7C-E61C-4B3B-B23A-82DCF0734866"" https://doi.org/10.6092/C19BDE54-AF7C-47B6-9854-84F8A0DB2E12"" https://doi.org/10.6092/8C07A049-AD7B-48D2-8655-0E9B5858A91D"" https://doi.org/10.6092/BFE3351C-0F5C-42DB-8048-70588B15C3CA"" https://doi.org/10.6092/2E4F7045-F853-4BC6-A771-11FF2FDAFEE9""
DOI: 10.14457/nida.the.2019.135
title: The moderating effect of job-embeddedness on the relationships between organizational socialization with employee's performance, and with well-being of salespersons in Thailand
DOI: 10.14457/nida.the.2019.136
title: Bullying in workplace: a study of the relationships among big five personality traits and organizational cultures with the victimization of workplace bullying in Thai organizations
DOI: 10.14457/nida.the.2018.152
title: Management and leadership of innovation and ambidexterity in the innovative high-performance enterprises in Thailand
DOI: 10.14457/nida.the.2009.154
title: ภูมิปัญญาท้องถิ่นกับการมีส่วนร่วมของชุมชนในการจัดการความหลากหลายทางชีวภาพ: กรณีศึกษาชุมชนบ้านป่าสักงาม อำเภอดอยสะเก็ด จังหวัดเชียงใหม่
DOI: 10.14457/nida.the.2018.153
title: Mobile commerce adoption of micro retailers in emercing economies
DOI: 10.14457/nida.the.2018.154
title: The role of customer voice in customer evaluation of service recovery
DOI: 10.14457/nida.the.2019.137
title: A genre analysis of book reviews written by professional critics versus online consumer critics
DOI: 10.14457/nida.the.2018.155
title: A study of conceptual model for learning transfer in Thai banking sector
DOI: 10.14457/nida.the.2018.156
title: A provably group authentication protocol for various LTE networks
DOI: 10.14457/nida.the.2018.157
title: Distributional impact of carbon taxation on household energy consumtion in Thailand
DOI: 10.14457/nida.the.2018.158
title: A development model of accounting system for community-based tourism in Thailand
DOI: 10.14457/nida.the.2018.159
title: Value co-creation model enhancing competitiveness of exhibition industry in Thailand
DOI: 10.5517/ccdc.csd.cc28vtnm
title: CCDC 2111151: Experimental Crystal Structure Determination

description: Related Article: Zeng‐Kui Zhu, Jing Zhang, Yu‐Chen Cong, Rui Ge, Zhong Li, Xin‐Xiong Li, Shou‐Tian Zheng|2022|Angew.Chem.,Int.Ed.|61|e202113381|doi:10.1002/anie.202113381
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.