cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2909/d2b3b0fb-5cf8-4a20-815d-be51704b1557
title: Total productivity 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Total Productivity (TPROD), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Total Productivity (TPROD), or large integral, is the growing season integral computed as the sum of all daily Plant Phenology Index values between the dates of the season start (SOSD) and end (EOSD). The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Total Productivity is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The TPROD dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.25345/c5p55dt1j
title: MassIVE MSV000093517 - Chondrodysplasia-inducing COL2A1 p.Gly1170Ser causes an ER storage defect without associated unfolded protein response in a human cartilage model
title: 10-plex TMT dataset generated by immunoprecipitation of epitope-tagged COL2A1 constructs along with DSP-crosslinked interactors. This experiment allows for quantitative comparison of wild-type and Gly1170Ser COL2A1 interactomes in HT-1080 cells transiently transfected with COL2A1 under a constitutive promoter. Negative control samples are untransfected HT-1080 cells, used to identify high-confidence collagen-II interactors from non-specific binders.
DOI: 10.26207/ntw0-ks48
title: Pediatric CNS Aspergillosis
DOI: 10.17037/data.00003700
title: Qualitative interview data on the factors that influence COVID-19 vaccine uptake among healthcare workers and older persons in three Ugandan hospitals and areas of Wakiso district

description: Anonymised transcripts of 33 in-depth interview with 25 healthcare workers (HCWs) and 8 older persons who gave consent to participate in the COVID-19 vaccine uptake study among healthcare workers and older persons in three hospitals in Uganda and areas of Wakiso district. Transcripts cover social demographic information and explores participants’ knowledge, beliefs, personal experiences, barriers, and facilitators to vaccine uptake and suggestions for future COVID-19 vaccine rollout.
description: Social science research assistants (RAs) contacted the selected individuals via telephone voice call and requested their participation in the in-depth interviews. Interviews were conducted using a semi-structured interview guide that included the following topics: knowledge, beliefs, and attitudes towards COVID-19 vaccines; enabling factors and barriers to uptake of COVID-19 vaccines; and personal views on the future of the COVID-19 vaccine rollout programme. The interviews were audio recorded if the participant agreed, or notes were taken if the participant declined voice recording. Audio Interviews were subsequently transcribed. A senior social scientist conducted regular debriefing meetings with the RAs to review the completeness of the data and identify areas to improve on in subsequent interviews. Anonymized audio files were transferred onto encrypted password-protected computers, transcriptions and translations were done by the Research Assistants, and anonymized transcripts were transferred to a secure data server at the Medical Research Council /Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine (MRC/UVRI and LSHTM) Uganda Research Unit. Data analysis process involved an iterative approach with two research assistants, under the guidance of a senior social scientist. The research team collaboratively reviewed and discussed transcripts to identify and reach a consensus on common codes. A codebook was developed based on a priori data categorization and emergent categories that came from the coding process.
DOI: 10.2909/9d63441b-0ce1-4ef6-a4fa-ecab6af8d506
title: Start-of-season date 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Start-of-Season Date (SOSD), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Start-of-Season Date (SOSD) marks the date when the vegetation growing season starts in the time profile of the Plant Phenology Index (PPI). The start-of-season occurs, by definition, when the PPI value reaches 25% of the season amplitude during the green-up period. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Start-of-Season Date is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The SOSD dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/a4fdb695-e3b7-4a9d-bba9-47b8a654e484
title: Start-of-season value 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Start-of-Season Value (SOSV), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Start-of-Season Value (SOSV) provides the value of the Plant Phenology Index (PPI) at the start of the vegetation growing season. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Start-of-Season Value is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The SOSV dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/cab8b304-dba6-451a-80b1-d146f2017709
title: Sope of the green-up period 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Slope of the green-up period (Left Slope, LSLOPE), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The slope of the green-up period (LSLOPE) expresses the rate of change in the values of the Plant Phenology Index (PPI) at the day when the vegetation growing season starts. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The green-up period slope is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The LSLOPE dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/6bea97c5-3295-4acf-af2a-c71d878d4547
title: Slope of the green-down period 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The slope of the green-down or senescent period (Right Slope, RSLOPE), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The slope of the green-down or senescent period (RSLOPE) expresses the rate of change in the values of the Plant Phenology Index (PPI) at the day when the vegetation growing season ends. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The green-down period slope is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The RSLOPE dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/2aad7646-6f5d-4825-9443-463539131341
title: Seasonal Trajectories Quality Flag 2017-present (raster 10m and 100m), Europe, 10-daily, Nov. 2022 - adjusted to the HRL grid

description: The Quality Flag of the PPI Seasonal Trajectories is one of the products of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Plant Phenology Index (PPI) is a physically based vegetation index for improved monitoring of plant phenology, that is developed from a simplified solution to the radiative transfer equation by Jin and Eklundh (2014) and that has a linear relationship with green leaf area index. The PPI Seasonal Trajectories (ST) product is derived from a TIMESAT-based function fitting of the time series of the PPI vegetation index and thus provides a filtered time series of Plant Phenology Index (PPI), with regular 10-day time step. The Quality Flag indicates the quality of the PPI seasonal trajectory computation, in the form of a confidence level. The QFLAG dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/e8412853-657d-42cf-a7bc-14b5d6fae61f
title: Seasonal productivity 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Seasonal Productivity (SPROD), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Seasonal Productivity (SPROD), or small integral, is the growing season integral that is computed as the sum of all daily Plant Phenology Index (PPI) values between the dates of the season start (SOSD) and end (EOSD), minus their base level value. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Seasonal Productivity is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The SPROD dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/ab21fde6-c1e7-4b79-86cd-31de9692b4ea
title: Season minimum value 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Minimum Value (MINV), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Minimum Value (MINV) is the average Plant Phenology Index (PPI) value of the minima before the growing season. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Minimum Value is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The MINV dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/9590dbe9-cbd6-40ff-9974-6d84bbfe2880
title: Season maximum value 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Season Maximum Value (MAXV), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Season Maximum Value (MAXV) provides the maximum (peak) value that the Plant Phenology Index (PPI) reaches during the vegetation growing season. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Season Maximum Value is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The MAXV dataset is made available as raster files with 10 x 10m resolutionand 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.6084/m9.figshare.24648945
title: Dataset for numerical analysis

description: This dataset contains one Excel sheet and five Word documents. In this dataset, Simulation.xlsx describes the parameter values used for the numerical analysis based on empirical data. In this Excel sheet, we calculated the values of each capped call-option model parameter. Computation of Table 2.docx and other documents show the results of the comparative statistics.
DOI: 10.17031/6565f52443a03
title: CPR data for undergrad project

description: Excel file containing CPR data for area 40N to 70N, -70W to 20E, 1968 to 2018, sample level data (each sample being 1 row, equating to approx. 10 nautical miles of tow, 3m3 of filtered seawater), for Phytoplankton Colour Index (PCI), total diatoms, total dinoflagellates, total large (over 2mm) copepods and total small (under 2mm) copepods. For each group (except PCI), values indicate abundance (according to standard CPR methodology, see Richardson et al. 2006, Prog in Oceanog 68. 27-74), zero values are absence of taxon. The excel file consists of samples in rows, with the following information in columns - A: sample id B:midpoint of sample latitude in decimal degrees C:midpoint of sample longitude in decimal degrees D:midpoint of sample local date and time E:sample year F: sample month G: Phytoplankton Colour Index H-K: selected groups
DOI: 10.2909/31c27948-6196-4d92-81c8-4f1a733f7fa3
title: Season maximum date 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Season Maximum Date (MAXD), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Season Maximum Date (MAXD) is the date in the vegetation growing season when the maximum Plant Phenology Index (PPI) value is reached. The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Season Maximum Date is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The MAXD dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.2909/1fadf75b-d3dd-40eb-a87d-59244f72d318
title: Season length 2017-present (raster 10m and 100m), Europe, yearly, Nov. 2022 - adjusted to the HRL grid

description: The Season Length (LENGTH), one of the Vegetation Phenology and Productivity (VPP) parameters, is a product of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP) component of the Copernicus Land Monitoring Service (CLMS). The Season Length is the number of days between the start and end dates of the vegetation growing season in the time profile of the Plant Phenology Index (PPI). The Plant Phenology Index (PPI) is a physically based vegetation index, developed for improving the monitoring of the vegetation growth cycle. The PPI index values, with 5-day satellite revisit cycle, are first used in a function fitting to derive the PPI Seasonal Trajectories, which is a filtered time series with regular 10-day time step. From these Seasonal Trajectories, a suite of 13 Vegetation Phenology and Productivity (VPP) parameters are then computed and provided, for up to two seasons each year. The Season Length is one of the 13 parameters. The full list is available in the table 3 of the Product User Manual in the below link section. A complementary quality indicator (QFLAG) provides a confidence level, that is described in table 4 of the same manual. The LENGTH dataset is made available as raster files with 10 x 10m and 100 x 100m resolutions, in ETRS89-LAEA projection corresponding to the HRL grid, for those tiles that cover the EEA38 countries and the United Kingdom and for two seasons in each year from 2017 onwards. It is updated in the first quarter of each year.
DOI: 10.5517/ccdc.csd.cc2dpb3k
title: CCDC 2225028: Experimental Crystal Structure Determination

description: Related Article: Hongliang Zhao, Chao-Yue Zhao, Lili Chen, Chungu Xia, Xin Hong, Senmiao Xu|2023|J.Am.Chem.Soc.|145|25214|doi:10.1021/jacs.3c08129
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.cc2f0x3h
title: CCDC 2235196: Experimental Crystal Structure Determination

description: Related Article: Jixing Han, Chaopeng Hu, Qianli Li, Liu Leo Liu, Chen-Ho Tung, Ping Cui, Lingbing Kong|2023|Inorg.Chem.|62|18820|doi:10.1021/acs.inorgchem.3c03232
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.