cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4326702
title: Wetland delineation and characterization layers 2014-2017, Rwanda

description: Wetlands are highly productive ecosystems and provide a range of goods and services on local to global scales and have become key sites of agricultural development in sub-Saharan Africa. This is the case for East African countries such as Rwanda, where agricultural expansion into wetlands and agricultural intensification are crucial elements of the government's strategy to increase food production and decrease dependence from global food markets. However, spatially explicit information of the location and status of wetlands for informed decision making is lacking or not up to date. In the related research article, we therefore develop a framework comprising the following spatial layers: Delineation, Surface Water Occurrence (SWO), Land Use/Land Cover (LULC) classification and Wetland Use Intensity (WUI). These layers are based on satellite imagery from the European Copernicus Programme and cover the whole of Rwanda. The Delineation is derived from a static Potential Wetlands layer and Sentinel-2 imagery using object-based image analysis (OBIA). The SWO is a per-pixel count of the times a location was detected as flooded using Sentinel-1 imagery. For the LULC classification, an object-based decision tree classifier is applied to Sentinel-2 imagery in Combination with the Delineation layer and the SWO. The WUI layer is based on the Absolute Mean Spectral Dynamics indicator depicting pixel-wise changes in reflectance values in Sentinel-2 bands relevant for wetland vegetation and hydrological dynamics. All layers refer to the year 2017, except for the SWO layer, which covers surface water dynamics from 2014 to 2017. The layers can be used individually or in combination and thus adapted to the different information needs for sustainable wetland management.<br> This dataset contains the Potential Wetlands map based on topographic indices, the Wetland Delineation derived from it, the Surface Water Occurrence layer, the Land Use/Land Cover map, and the Wetland Use Intensity layer. For appropriate map display we provide QGIS layerstyle files associated with these layers.
description: This research was conducted within the project Copernicus-based Detection and Monitoring of tropical Wetlands (DeMo-Wetlands), which was funded by the German Federal Ministry for Economic Affairs and Energy (grant no. 50EE1537).
DOI: 10.17188/1320110
title: Materials Data on CaTi5O7 by Materials Project

description: CaTi5O7 crystallizes in the orthorhombic Cmcm space group. The structure is three-dimensional. Ca2+ is bonded in a 8-coordinate geometry to eight O2- atoms. There are a spread of Ca–O bond distances ranging from 2.34–2.67 Å. There are three inequivalent Ti+2.40+ sites. In the first Ti+2.40+ site, Ti+2.40+ is bonded to six O2- atoms to form a mixture of edge and corner-sharing TiO6 octahedra. The corner-sharing octahedra tilt angles range from 7–9°. There are a spread of Ti–O bond distances ranging from 2.08–2.16 Å. In the second Ti+2.40+ site, Ti+2.40+ is bonded to six O2- atoms to form a mixture of edge and corner-sharing TiO6 octahedra. The corner-sharing octahedra tilt angles range from 7–38°. There are a spread of Ti–O bond distances ranging from 1.97–2.10 Å. In the third Ti+2.40+ site, Ti+2.40+ is bonded to six O2- atoms to form a mixture of edge and corner-sharing TiO6 octahedra. The corner-sharing octahedral tilt angles are 9°. There are four shorter (2.18 Å) and two longer (2.25 Å) Ti–O bond lengths. There are four inequivalent O2- sites. In the first O2- site, O2- is bonded to one Ca2+ and five Ti+2.40+ atoms to form distorted OCaTi5 octahedra that share corners with four OTi6 octahedra, corners with four equivalent OCa2Ti3 trigonal bipyramids, edges with seven OCaTi5 octahedra, and edges with three equivalent OCa2Ti3 trigonal bipyramids. The corner-sharing octahedra tilt angles range from 0–49°. In the second O2- site, O2- is bonded in a 4-coordinate geometry to two equivalent Ca2+ and two equivalent Ti+2.40+ atoms. In the third O2- site, O2- is bonded to six Ti+2.40+ atoms to form OTi6 octahedra that share corners with four OCaTi5 octahedra, a cornercorner with one OCa2Ti3 trigonal bipyramid, edges with ten OCaTi5 octahedra, and edges with two equivalent OCa2Ti3 trigonal bipyramids. The corner-sharing octahedra tilt angles range from 0–12°. In the fourth O2- site, O2- is bonded to two equivalent Ca2+ and three Ti+2.40+ atoms to form distorted OCa2Ti3 trigonal bipyramids that share corners with five OTi6 octahedra, corners with two equivalent OCa2Ti3 trigonal bipyramids, edges with five OCaTi5 octahedra, and edges with three equivalent OCa2Ti3 trigonal bipyramids. The corner-sharing octahedra tilt angles range from 5–41°.
DOI: 10.5281/zenodo.4326701
title: Wetland delineation and characterization layers 2014-2017, Rwanda

description: Wetlands are highly productive ecosystems and provide a range of goods and services on local to global scales and have become key sites of agricultural development in sub-Saharan Africa. This is the case for East African countries such as Rwanda, where agricultural expansion into wetlands and agricultural intensification are crucial elements of the government's strategy to increase food production and decrease dependence from global food markets. However, spatially explicit information of the location and status of wetlands for informed decision making is lacking or not up to date. In the related research article, we therefore develop a framework comprising the following spatial layers: Delineation, Surface Water Occurrence (SWO), Land Use/Land Cover (LULC) classification and Wetland Use Intensity (WUI). These layers are based on satellite imagery from the European Copernicus Programme and cover the whole of Rwanda. The Delineation is derived from a static Potential Wetlands layer and Sentinel-2 imagery using object-based image analysis (OBIA). The SWO is a per-pixel count of the times a location was detected as flooded using Sentinel-1 imagery. For the LULC classification, an object-based decision tree classifier is applied to Sentinel-2 imagery in Combination with the Delineation layer and the SWO. The WUI layer is based on the Absolute Mean Spectral Dynamics indicator depicting pixel-wise changes in reflectance values in Sentinel-2 bands relevant for wetland vegetation and hydrological dynamics. All layers refer to the year 2017, except for the SWO layer, which covers surface water dynamics from 2014 to 2017. The layers can be used individually or in combination and thus adapted to the different information needs for sustainable wetland management.<br> This dataset contains the Potential Wetlands map based on topographic indices, the Wetland Delineation derived from it, the Surface Water Occurrence layer, the Land Use/Land Cover map, and the Wetland Use Intensity layer. For appropriate map display we provide QGIS layerstyle files associated with these layers.
description: This research was conducted within the project Copernicus-based Detection and Monitoring of tropical Wetlands (DeMo-Wetlands), which was funded by the German Federal Ministry for Economic Affairs and Energy (grant no. 50EE1537).
DOI: 10.17188/1320111
title: Materials Data on Fe(PO3)4 by Materials Project

description: Fe(PO3)4 crystallizes in the monoclinic C2/c space group. The structure is three-dimensional. Fe is bonded to six O atoms to form FeO6 octahedra that share corners with six PO4 tetrahedra. There are a spread of Fe–O bond distances ranging from 2.00–2.06 Å. There are two inequivalent P sites. In the first P site, P is bonded to four O atoms to form PO4 tetrahedra that share a cornercorner with one FeO6 octahedra and corners with two equivalent PO4 tetrahedra. The corner-sharing octahedral tilt angles are 51°. There are a spread of P–O bond distances ranging from 1.51–1.63 Å. In the second P site, P is bonded to four O atoms to form PO4 tetrahedra that share corners with two equivalent FeO6 octahedra and corners with two equivalent PO4 tetrahedra. The corner-sharing octahedra tilt angles range from 30–45°. There are a spread of P–O bond distances ranging from 1.49–1.62 Å. There are six inequivalent O sites. In the first O site, O is bonded in a bent 120 degrees geometry to two P atoms. In the second O site, O is bonded in a bent 150 degrees geometry to one Fe and one P atom. In the third O site, O is bonded in a bent 120 degrees geometry to one Fe and one P atom. In the fourth O site, O is bonded in a distorted bent 150 degrees geometry to one Fe and one P atom. In the fifth O site, O is bonded in a bent 150 degrees geometry to two P atoms. In the sixth O site, O is bonded in a single-bond geometry to one P atom.
DOI: 10.17188/1320112
title: Materials Data on CaV(PO3)4 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320113
title: Materials Data on CaFe(PO3)4 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320114
title: Materials Data on CaNi(PO3)4 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320115
title: Materials Data on P4WO12 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320116
title: Materials Data on Mo(PO3)4 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320117
title: Materials Data on Ba2CuMo2F14 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320118
title: Materials Data on AlCu3(NiO3)4 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320119
title: Materials Data on Ba2ZnFe2CuF14 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320120
title: Materials Data on Ba2MgFe2CuF14 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320121
title: Materials Data on Ti5ZnO7 (SG:63) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320122
title: Materials Data on YCu3(MoO3)4 (SG:204) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320123
title: Materials Data on V(PO3)4 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320124
title: Materials Data on MgV(PO3)4 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320125
title: Materials Data on CaP4WO12 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320126
title: Materials Data on CaCr(PO3)4 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320128
title: Materials Data on Ba2CaMn2CuF14 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320129
title: Materials Data on Mn9O13 (SG:12) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320130
title: Materials Data on YCu3(NiO3)4 (SG:204) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320131
title: Materials Data on Cr9O13 (SG:12) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320132
title: Materials Data on AlCu3(MoO3)4 (SG:204) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320133
title: Materials Data on Cu5O7 (SG:63) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320134
title: Materials Data on Co9O13 by Materials Project

description: Co9O13 crystallizes in the triclinic P-1 space group. The structure is three-dimensional. there are five inequivalent Co+2.89+ sites. In the first Co+2.89+ site, Co+2.89+ is bonded to six O2- atoms to form edge-sharing CoO6 octahedra. There are a spread of Co–O bond distances ranging from 1.78–2.19 Å. In the second Co+2.89+ site, Co+2.89+ is bonded to six O2- atoms to form a mixture of edge and corner-sharing CoO6 octahedra. The corner-sharing octahedral tilt angles are 0°. There are a spread of Co–O bond distances ranging from 1.97–2.25 Å. In the third Co+2.89+ site, Co+2.89+ is bonded in a 6-coordinate geometry to six O2- atoms. There are a spread of Co–O bond distances ranging from 1.58–2.44 Å. In the fourth Co+2.89+ site, Co+2.89+ is bonded in a 5-coordinate geometry to five O2- atoms. There are a spread of Co–O bond distances ranging from 1.97–2.12 Å. In the fifth Co+2.89+ site, Co+2.89+ is bonded in a 6-coordinate geometry to six O2- atoms. There are a spread of Co–O bond distances ranging from 1.68–2.52 Å. There are seven inequivalent O2- sites. In the first O2- site, O2- is bonded in a distorted square co-planar geometry to four equivalent Co+2.89+ atoms. In the second O2- site, O2- is bonded in a distorted bent 150 degrees geometry to two Co+2.89+ atoms. In the third O2- site, O2- is bonded to five Co+2.89+ atoms to form distorted edge-sharing OCo5 square pyramids. In the fourth O2- site, O2- is bonded in a trigonal non-coplanar geometry to three Co+2.89+ atoms. In the fifth O2- site, O2- is bonded in a trigonal non-coplanar geometry to three Co+2.89+ atoms. In the sixth O2- site, O2- is bonded in a 5-coordinate geometry to five Co+2.89+ atoms. In the seventh O2- site, O2- is bonded in a 6-coordinate geometry to six Co+2.89+ atoms.
DOI: 10.17188/1320135
title: Materials Data on ZnP4WO12 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320136
title: Materials Data on Ba2ZnCr2CuF14 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.25345/c59f7f
title: MassIVE MSV000086779 - Novel workflow for comprehensive profiling of plasma exosomes using data independent acquisitions
title: Aging is a complex biological process associated with progressive loss of physiological function and susceptibility to several diseases, such as cancer and neurodegeneration. Exosomes are involved in many cellular signaling pathways, and their cargo may serve as promising disease or aging biomarkers. These membrane-bound extracellular vesicles facilitate the transport of intracellular contents to proximal and distal cells in the body. Here, we investigated two omics approaches for exosome analysis. To overcome the challenges of plasma exosome contamination with abundant soluble plasma proteins, we developed a high throughput method to isolate highly purified exosomes from human plasma by sequential size exclusion chromatography and ultrafiltration. First, we used data dependent acquisitions from offline high pH reversed-phase fractions of exosome lysate to generate a deep spectral library comprising 2,300 exosome proteins. Second, in a pilot aging study, we used comprehensive data-independent acquisitions to compare plasma exosomes from young (20 to 26 yrs) and old (60 to 66 yrs) individuals. We quantified 1,318 exosome proteins, and levels of 144 proteins were significantly different in young and old plasma groups (Q&lt;0.05 and &gt;1.5-fold change). We also analyzed exosome miRNA cargo and detected 331 miRNAs. Levels of several were significantly different in young and old individuals. In addition, 88 and 17 miRNAs were unique to old and young individuals, respectively. Plasma exosome biomarkers have great potential for translational studies investigating biomarkers of aging and age related diseases and monitoring therapeutic aging interventions.
DOI: 10.17188/1320137
title: Materials Data on Ca2Mn9O13 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320138
title: Materials Data on Ba2MgCr2CuF14 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320139
title: Materials Data on Ba2Mn2ZnCuF14 (SG:15) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320140
title: Materials Data on AlCu3(WO3)4 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320141
title: Materials Data on Mn9Zn2O13 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320142
title: Materials Data on Mg2Mn9O13 (SG:2) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320143
title: Materials Data on Ba2MgMn2CuF14 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17188/1320144
title: Materials Data on Sn5O7 (SG:63) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations