cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5418318
title: Data for the practical exercises in the book "Land Use Cover Datasets and Validation Tools"

description: This dataset contains all the data that is required to carry out the practical exercises in the book “Land Use Cover Datasets and Validation Tools”, available in open access. The dataset includes data for three different case studies: The Asturias Central Area (Spain), the Ariège Valley (France) and Marqués de Comillas (Mexico). For the Asturias Central Area and the Ariège Valley, the dataset includes Land Use Cover (LUC) maps for several years of reference as well as data (simulation outputs, model drivers) for different modelling exercises. For Marqués de Comillas, the dataset includes a LUC map and a set of reference points used to validate it. The dataset includes a readme file listing all the files it contains and auxiliary files describing the data. For further information on the study area and the files used in the practical exercises, users are referred to Chapter 1 of the book.
DOI: 10.5281/zenodo.5418317
title: Data for the practical exercises in the book "Land Use Cover Datasets and Validation Tools"

description: This dataset contains all the data that is required to carry out the practical exercises in the book “Land Use Cover Datasets and Validation Tools”, available in open access. The dataset includes data for three different case studies: The Asturias Central Area (Spain), the Ariège Valley (France) and Marqués de Comillas (Mexico). For the Asturias Central Area and the Ariège Valley, the dataset includes Land Use Cover (LUC) maps for several years of reference as well as data (simulation outputs, model drivers) for different modelling exercises. For Marqués de Comillas, the dataset includes a LUC map and a set of reference points used to validate it. The dataset includes a readme file listing all the files it contains and auxiliary files describing the data. For further information on the study area and the files used in the practical exercises, users are referred to Chapter 1 of the book.
DOI: 10.6073/pasta/9fc98d39412fb895dfd255b8882b070c
title: Tree Ring Data from the Harvard Tract in Pisgah State Forest NH 1675-2015

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from two 30m radius plots set within Harvard’s Pisgah Tract in Pisgah State Forest, New Hampshire. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time. Famously, 80% of this tract was knocked down in September 1938 by a strong hurricane. The forest has sine regrown and the plots we installed can be used to understand forest recovery and carbon dynamics in a heavily disturbance forest. Given that this was a known/decently documented event, these data were used by Trotsiuk et al. (2018) to test various growth release methods as applied to tree-ring data. Trotsiuk, V., Pederson, N., Druckenbrod, D. L., Orwig, D. A., Bishop, D. A., Barker Plotkin, A., Fraver, S., Martin-Benito, D. 2018. Testing the efficacy of tree-ring methods for detecting past disturbances. Forest Ecology and Management 425: 59-67.
DOI: 10.6073/pasta/23f1fcc85eaf724d6fb0fd664ccec087
title: Tree Ring Data from Rooster Hill in Adirondack State Park NY 1828-2015

description: Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted at annual time steps. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from two 30m radius plots set Rooster Hill in New York State. We chose this location because it has oak dominated mixed forests that can be compared to the long-term forests being studied for carbon dynamics at the Harvard Forest. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time to understand forest recovery and carbon dynamics in a heavily disturbance forest.
DOI: 10.5281/zenodo.5422009
title: restart (/ pickup) for MITgcm configuration hs94.cs-32x32x5

description: Pickup was generated by running the verification experiment forward for 43200 time steps. This can be used to restart the model from a typical solution (rather than starting from rest). Files included : - STDOUT.0000<br> - pickup.0000043200.data<br> - pickup.0000043200.meta
DOI: 10.5281/zenodo.5422008
title: restart (/ pickup) for MITgcm configuration hs94.cs-32x32x5

description: Pickup was generated by running the verification experiment forward for 43200 time steps. This can be used to restart the model from a typical solution (rather than starting from rest). Files included : - STDOUT.0000<br> - pickup.0000043200.data<br> - pickup.0000043200.meta
DOI: 10.6084/m9.figshare.14112968.v1
title: An urban extent dataset in late imperial China in 15th-19th centuries

description: we reconstruct the urban extents for China that extend back from 15th century to 19th century based on multiple historical documents. Cities in late imperial China (the Ming and the Qing Dynasties, 1368-1911) generally had city walls, and these walls were usually built around the urban built-up area. By restoring the scope of the city walls, the urban extend in this period could be restored. Firstly, we collected the years of construction or reconstruction of city walls from the historical data. Specifically, the period in which the scope of the city wall keeps unchanged is recorded as a lifetime of it. Secondly, specialization of the scope of the city wall could be conducted based on the urban morphology method, and variety of documentation, including the historical literature materials, the military topographic maps of the first half of the 20th century, and the remote sensing images of the 1970s. Correlation and integration of the lifetime and the spatial data would produce China City Wall Areas Dataset (CCWAD) in late imperial. Based on the proximity to the time of most of the city walls, we generated China Urban Extent Dataset (CUED) in the 15th-19th centuries in six representative years (i.e., 1400, 1537, 1648, 1708, 1787, and 1866).
DOI: 10.6084/m9.figshare.16567647
title: An urban extent dataset in late imperial China in 15th-19th centuries (revised)

description: Long-term urban extent data are highly desirable for understanding urban land use patterns. However, urban observation data based on remote sensing are typically confined to recent decades. In this study, we advance in this arena by reconstructing the urban extents for China that extend back from 15<sup>th</sup> century to 19<sup>th</sup> century based on multiple historical documents. Cities in late imperial China (the Ming and the Qing Dynasties, 1368-1911) generally had city walls, and these walls were usually built around the urban built-up area. By restoring the scope of the city walls, the urban extend in this period could be restored. Firstly, we collected the years of construction or reconstruction of city walls from the historical data. Specifically, the period in which the scope of the city wall keeps unchanged is recorded as a lifetime of it. Secondly, specialization of the scope of the city wall could be conducted based on the urban morphology method, and variety of documentation, including the historical literature materials, the military topographic maps of the first half of the 20<sup>th</sup> century, and the remote sensing images of the 1970s. Correlation and integration of the lifetime and the spatial data would produce China City Wall Areas Dataset (CCWAD) in late imperial. Based on the proximity to the time of most of the city walls, we generated China Urban Extent Dataset (CUED) in the 15<sup>th</sup>-19<sup>th</sup> centuries in six representative years (i.e., 1400, 1537, 1648, 1708, 1787, and 1866).
DOI: 10.6084/m9.figshare.16567647.v2
title: An urban extent dataset in late imperial China in 15th-19th centuries (revised)

description: Long-term urban extent data are highly desirable for understanding urban land use patterns. However, urban observation data based on remote sensing are typically confined to recent decades. In this study, we advance in this arena by reconstructing the urban extents for China that extend back from 15<sup>th</sup> century to 19<sup>th</sup> century based on multiple historical documents. Cities in late imperial China (the Ming and the Qing Dynasties, 1368-1911) generally had city walls, and these walls were usually built around the urban built-up area. By restoring the scope of the city walls, the urban extend in this period could be restored. Firstly, we collected the years of construction or reconstruction of city walls from the historical data. Specifically, the period in which the scope of the city wall keeps unchanged is recorded as a lifetime of it. Secondly, specialization of the scope of the city wall could be conducted based on the urban morphology method, and variety of documentation, including the historical literature materials, the military topographic maps of the first half of the 20<sup>th</sup> century, and the remote sensing images of the 1970s. Correlation and integration of the lifetime and the spatial data would produce China City Wall Areas Dataset (CCWAD) in late imperial. Based on the proximity to the time of most of the city walls, we generated China Urban Extent Dataset (CUED) in the 15<sup>th</sup>-19<sup>th</sup> centuries in six representative years (i.e., 1400, 1537, 1648, 1708, 1787, and 1866).
DOI: 10.6084/m9.figshare.16567647.v1
title: An urban extent dataset in late imperial China in 15th-19th centuries (revised)

description: Long-term urban extent data are highly desirable for understanding urban land use patterns. However, urban observation data based on remote sensing are typically confined to recent decades. In this study, we advance in this arena by reconstructing the urban extents for China that extend back from 15<sup>th</sup> century to 19<sup>th</sup> century based on multiple historical documents. Cities in late imperial China (the Ming and the Qing Dynasties, 1368-1911) generally had city walls, and these walls were usually built around the urban built-up area. By restoring the scope of the city walls, the urban extend in this period could be restored. Firstly, we collected the years of construction or reconstruction of city walls from the historical data. Specifically, the period in which the scope of the city wall keeps unchanged is recorded as a lifetime of it. Secondly, specialization of the scope of the city wall could be conducted based on the urban morphology method, and variety of documentation, including the historical literature materials, the military topographic maps of the first half of the 20<sup>th</sup> century, and the remote sensing images of the 1970s. Correlation and integration of the lifetime and the spatial data would produce China City Wall Areas Dataset (CCWAD) in late imperial. Based on the proximity to the time of most of the city walls, we generated China Urban Extent Dataset (CUED) in the 15<sup>th</sup>-19<sup>th</sup> centuries in six representative years (i.e., 1400, 1537, 1648, 1708, 1787, and 1866).
DOI: 10.6084/m9.figshare.16566813.v1
title: sub-36.rar

description: sub-36
DOI: 10.6084/m9.figshare.16566813
title: sub-36.rar

description: sub-36
DOI: 10.5517/ccdc.csd.cc25y76l
title: CCDC 2024089: Experimental Crystal Structure Determination

description: Related Article: Sigurd Oien-Odegaard, Karl Petter Lillerud|2020|Chemistry|2|777|doi:10.3390/chemistry2030050
DOI: 10.6084/m9.figshare.16567746
title: Estrogen receptor and ovarian cancer.xlsx

description: The table shows the expression of both types of estrogen receptors – ERα and ERβ – in narrowly-defined cohort of patients (n=31): stage III high-grade serous ovarian carcinoma (HGSOC), suboptimal surgical cytoreduction, six cycles of the front-line platinum plus taxane chemotherapy. ERα and ERβ expression in tumors was evaluated quantitatively by flow cytometry. Progression-free survival (PFS) after the treatment was used as the indicator of the chemotherapy efficacy.<br>
DOI: 10.6084/m9.figshare.16567746.v1
title: Estrogen receptor and ovarian cancer.xlsx

description: The table shows the expression of both types of estrogen receptors – ERα and ERβ – in narrowly-defined cohort of patients (n=31): stage III high-grade serous ovarian carcinoma (HGSOC), suboptimal surgical cytoreduction, six cycles of the front-line platinum plus taxane chemotherapy. ERα and ERβ expression in tumors was evaluated quantitatively by flow cytometry. Progression-free survival (PFS) after the treatment was used as the indicator of the chemotherapy efficacy.<br>
DOI: 10.6084/m9.figshare.12114528.v2
title: Eumida alignments

description: Ongoing analysis. Will be updated and publish soon
DOI: 10.6084/m9.figshare.16569129.v1
title: artefact_v2.tar.gz

description: Data from SnapFuzz experiments
DOI: 10.6084/m9.figshare.16569129
title: artefact_v2.tar.gz

description: Data from SnapFuzz experiments
DOI: 10.25345/c5zk1f
title: MassIVE MSV000088053 - Defining the dynamic regulation of O-GlcNAc proteome in the mouse cortex -- The O-GlcNAcylation of synaptic and trafficking proteins related to neurodegenerative diseases
title: Mice were i.p. injected Thiamet G (TG) or saline, and mouse brain cortex tissues were analyzed for O-GlcNAc by LC-MS/MS with TMT based quantification. Data was searched with MS-GF+ using PNNL's DMS processing pipeline.
DOI: 10.6084/m9.figshare.16567539
title: data_sets.xlsx

description: Data set belonging to the article: ASSOCIATION OF FLOWER COLOR WITH POLLEN REWARD MAY EXPLAIN INCREASED BUMBLEBEE VISITATION TO THE SCOTCH BROOM YELLOW MORPH
DOI: 10.6084/m9.figshare.16567539.v2
title: data_sets.xlsx

description: Data set belonging to the article: ASSOCIATION OF FLOWER COLOR WITH POLLEN REWARD MAY EXPLAIN INCREASED BUMBLEBEE VISITATION TO THE SCOTCH BROOM YELLOW MORPH
DOI: 10.6084/m9.figshare.16567539.v1
title: DATA1.xlsx

description: First data set belonging to the article: ASSOCIATION OF FLOWER COLOR WITH POLLEN REWARD MAY EXPLAIN INCREASED BUMBLEBEE VISITATION TO THE SCOTCH BROOM YELLOW MORPH
DOI: 10.5281/zenodo.5418652
title: Bottom-of-atmosphere reflectance data from aerial imaging for Lake Mulargia (Sardinia, Italy) (2020/09/24)

description: This dataset contains the surface reflectance Hyspex images derived with ATCOR code by CNR of Lake Mulargia (Sardinia, Italy). The acquisition was done by CGR Spa (Italy).
DOI: 10.5281/zenodo.5418651
title: Bottom-of-atmosphere reflectance data from aerial imaging for Lake Mulargia (Sardinia, Italy) (2020/09/24)

description: This dataset contains the surface reflectance Hyspex images derived with ATCOR code by CNR of Lake Mulargia (Sardinia, Italy). The acquisition was done by CGR Spa (Italy).
DOI: 10.5281/zenodo.5418490
title: UAV-based data for Lake Mulargia (Sardinia, Italy) (2020/09/23)

description: This dataset contains MicaSense-derived data of Lake Mulargia (Sardinia, Italy) for the 23 September 2020. The acquisition was done by CGR Spa (Italy). Available products are: True-color image (RGB), at-sensor-radiance (TOA), and Bottom-of-atmosphere reflectance data.
DOI: 10.5281/zenodo.5418388
title: Field measurements of aquatic optics parameters for Lake Mulargia (Sardinia, Italy)

description: This dataset contains aquatic optics parameters (remote sensing reflectance, backscattering depth profiles, absorption coefficients, Water Quality Parameters-WQP) of Lake Mulargia (Sardinia, Italy) collected by ENAS and CNR.
DOI: 10.5281/zenodo.5418489
title: UAV-based data for Lake Mulargia (Sardinia, Italy) (2020/09/23)

description: This dataset contains MicaSense-derived data of Lake Mulargia (Sardinia, Italy) for the 23 September 2020. The acquisition was done by CGR Spa (Italy). Available products are: True-color image (RGB), at-sensor-radiance (TOA), and Bottom-of-atmosphere reflectance data.
DOI: 10.5281/zenodo.5418310
title: PRISMA-derived water quality parameters for Lake Hume (Australia) (2020/04/22)

description: This dataset contains PRISMA-derived water quality (WQ) products of Lake Hume (Australia) for the 22 April 2020. Available parameters are: True-color image (RGB), Colored Dissolved Organic Matter (CDOM), Chlorophyll-a (CHL), and Suspended Particulate Matter (SPM). WQ parameters have been calculated using CNR’s bio-optical model BOMBER parameterized with the inherent optical properties specific of the case study. The data are available as GeoTiff files in WGS 84 / UTM zone 32N (EPSG: 32632). PRISMA data courtesy of the Italian Space Agency (ASI, 2020).
DOI: 10.5281/zenodo.5418387
title: Field measurements of aquatic optics parameters for Lake Mulargia (Sardinia, Italy)

description: This dataset contains aquatic optics parameters (remote sensing reflectance, backscattering depth profiles, absorption coefficients, Water Quality Parameters-WQP) of Lake Mulargia (Sardinia, Italy) collected by ENAS and CNR.
DOI: 10.5281/zenodo.5418309
title: PRISMA-derived water quality parameters for Lake Hume (Australia) (2020/04/22)

description: This dataset contains PRISMA-derived water quality (WQ) products of Lake Hume (Australia) for the 22 April 2020. Available parameters are: True-color image (RGB), Colored Dissolved Organic Matter (CDOM), Chlorophyll-a (CHL), and Suspended Particulate Matter (SPM). WQ parameters have been calculated using CNR’s bio-optical model BOMBER parameterized with the inherent optical properties specific of the case study. The data are available as GeoTiff files in WGS 84 / UTM zone 32N (EPSG: 32632). PRISMA data courtesy of the Italian Space Agency (ASI, 2020).
DOI: 10.5281/zenodo.5418272
title: DESIS-derived water quality parameters for Lake Hume (Australia) (2020/02/26)

description: This dataset contains DESIS-derived water quality (WQ) products of Lake Hume (Australia) for the 26 February 2020. Available parameters are: True-color image (RGB), Colored Dissolved Organic Matter (CDOM), Chlorophyll-a (CHL), and Suspended Particulate Matter (SPM). WQ parameters have been calculated using CNR’s bio-optical model BOMBER parameterized with the inherent optical properties specific of the case study. The data are available as GeoTiff files in WGS 84 / UTM zone 32N (EPSG: 32632). DESIS data courtesy of the German Aerospace Center (DLR, 2020).
DOI: 10.5281/zenodo.5418071
title: DESIS-derived water quality parameters for Lake Mulargia (Sardinia, Italy) (2020/08/17)

description: This dataset contains DESIS-derived water quality (WQ) products of Lake Mulargia (Sardinia, Italy) for the 17 August 2020. Available parameters are: True-color image (RGB), Colored Dissolved Organic Matter (CDOM), Chlorophyll-a (CHL), and Suspended Particulate Matter (SPM). WQ parameters have been calculated using CNR’s bio-optical model BOMBER parameterized with the inherent optical properties specific of the case study. The data are available as GeoTiff files in WGS 84 / UTM zone 32N (EPSG: 32632). DESIS data courtesy of the German Aerospace Center (DLR, 2020).
DOI: 10.5281/zenodo.5418271
title: DESIS-derived water quality parameters for Lake Hume (Australia) (2020/02/26)

description: This dataset contains DESIS-derived water quality (WQ) products of Lake Hume (Australia) for the 26 February 2020. Available parameters are: True-color image (RGB), Colored Dissolved Organic Matter (CDOM), Chlorophyll-a (CHL), and Suspended Particulate Matter (SPM). WQ parameters have been calculated using CNR’s bio-optical model BOMBER parameterized with the inherent optical properties specific of the case study. The data are available as GeoTiff files in WGS 84 / UTM zone 32N (EPSG: 32632). DESIS data courtesy of the German Aerospace Center (DLR, 2020).
DOI: 10.5281/zenodo.5418070
title: DESIS-derived water quality parameters for Lake Mulargia (Sardinia, Italy) (2020/08/17)

description: This dataset contains DESIS-derived water quality (WQ) products of Lake Mulargia (Sardinia, Italy) for the 17 August 2020. Available parameters are: True-color image (RGB), Colored Dissolved Organic Matter (CDOM), Chlorophyll-a (CHL), and Suspended Particulate Matter (SPM). WQ parameters have been calculated using CNR’s bio-optical model BOMBER parameterized with the inherent optical properties specific of the case study. The data are available as GeoTiff files in WGS 84 / UTM zone 32N (EPSG: 32632). DESIS data courtesy of the German Aerospace Center (DLR, 2020).
DOI: 10.5281/zenodo.5416496
title: EO-derived water quality parameters using aerial imaging spectrometry for Lake Mulargia (Sardinia, Italy) (2020/09/24)

description: This dataset contains Hyspex-derived water quality (WQ) products of Lake Mulargia (Sardinia, Italy) for the 24 September 2020. The acquisition was done by CGR Spa (Italy). Available parameters are: True-color image (RGB), Colored Dissolved Organic Matter (CDOM), Chlorophyll-a (CHL), and Suspended Particulate Matter (SPM). WQ parameters have been calculated using CNR’s bio-optical model BOMBER parameterized with the inherent optical properties specific of the case study. The data are available as GeoTiff files in WGS 84 / UTM zone 32N (EPSG: 32632).
DOI: 10.5281/zenodo.5416495
title: EO-derived water quality parameters using aerial imaging spectrometry for Lake Mulargia (Sardinia, Italy) (2020/09/24)

description: This dataset contains Hyspex-derived water quality (WQ) products of Lake Mulargia (Sardinia, Italy) for the 24 September 2020. The acquisition was done by CGR Spa (Italy). Available parameters are: True-color image (RGB), Colored Dissolved Organic Matter (CDOM), Chlorophyll-a (CHL), and Suspended Particulate Matter (SPM). WQ parameters have been calculated using CNR’s bio-optical model BOMBER parameterized with the inherent optical properties specific of the case study. The data are available as GeoTiff files in WGS 84 / UTM zone 32N (EPSG: 32632).
DOI: 10.25345/c5tv77
title: MassIVE MSV000088054 - Exposomics analysis in human cohorts
title: Exposome analysis in humans. Negative ion mode data. Reverse phase chromatography.
DOI: 10.5281/zenodo.5424182
title: TIMAVID/Ambystoma_Morphometrics: Second release

description: Second release of Ambystoma morphometrics project