cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/26e189d39e2409ef6c5a2046fcf5daf0
title: Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991

description: The tower-based CO2 measurements and key meteorological drivers are intended to examine how regional and ecosystem level processes in a mid-latitude forest contribute to global carbon cycling. Specifically, we endeavor to understand quantitatively how and why forested ecosystems take up or release carbon, on time scales from hours to decades, and to elucidate responses to climate changes and management interventions. The tower was installed 1989 and the resulting eddy-flux measurements constitute the longest running record of the net-ecosystem carbon exchange in a North American Forest. The resulting long-term record of Net Ecosystem Exchange (NEE) has shown the effects of climate anomalies on carbon fluxes for seasonal and annual time scales. For example, reduced soil frost allows greater respiration in the winter leading to lower C sequestration. Cumulative gross photosynthesis depends on when the canopy emerges in the spring. Warmer springtime temperatures lead to greater uptake of C. As the NEE record is extended and augmented by supporting ecological measurements, we can further identify longer-term effects of climate perturbations on carbon fluxes and further define the relationship between stand history and carbon sequestration. Climatic anomalies in one season or year may have a longer-term effect on the sequestration of carbon in subsequent seasons or years. The flux and ecological measurements are coordinated with studies at other sites through the AmeriFlux network. By examining the relationships between carbon fluxes and the driving physical and biological variables across a range of sites we are enhancing understanding of the processes that control NEE.
DOI: 10.13012/b2idb-3649756_v1
title: Data for: Spatially detailed agricultural and food trade between China and the United States

description: This database provides estimates of agricultural and food commodity flows [in both tons and $US] between the US and China for the year 2017. Pairwise information is provided between US states and Chinese provinces, and US counties and Chinese provinces for 7 Standardized Classification of Transported Goods (SCTG) commodity categories. Additionally, crosswalks are provided to match Harmonized System (HS) codes and China's Multi-Regional Input Output (MRIO) commodity sectors to their corresponding SCTG commodity codes. The included SCTG commodities are: - SCTG 01: Iive animals and fish - SCTG 02: cereal grains - SCTG 03: agricultural products (except for animal feed, cereal grains, and forage products) - SCTG 04: animal feed, eggs, honey, and other products of animal origin - SCTG 05: meat, poultry, fish, seafood, and their preparations - SCTG 06: milled grain products and preparations, and bakery products - SCTG 07: other prepared foodstuffs, fats and oils For additional information, please see the related paper by Pandit et al. (2022) in Environmental Research Letters. ADD DOI WHEN RECEIVED
DOI: 10.5281/zenodo.8164431
title: Perturbed Parameters for CICE-DART Study Titled "Exploring Non-Gaussian Sea Ice Characteristics via Observing System Simulation Experiments"

description: The file contains the values of the three perturbed CICE parameters that were used in the study titled "Exploring Non-Gaussian Sea Ice Characteristics via Observing System Simulation Experiments." The three perturbed parameters are the standard deviation of the dry snow grain radius (Rsnow), the thermal conductivity of snow (Ksnow), and the neutral ocean-ice drag coefficient (Dragio). There are 80 values since the ensemble used in the study had 80 members.
DOI: 10.5281/zenodo.8164430
title: Perturbed Parameters for CICE-DART Study Titled "Exploring Non-Gaussian Sea Ice Characteristics via Observing System Simulation Experiments"

description: The file contains the values of the three perturbed CICE parameters that were used in the study titled "Exploring Non-Gaussian Sea Ice Characteristics via Observing System Simulation Experiments." The three perturbed parameters are the standard deviation of the dry snow grain radius (Rsnow), the thermal conductivity of snow (Ksnow), and the neutral ocean-ice drag coefficient (Dragio). There are 80 values since the ensemble used in the study had 80 members.
DOI: 10.48650/y67d-0q22
title: Bolivia soy supply chain (2020-2021)

description: This Trase dataset is a model of the supply chain of Bolivian soybeans from municipality of production to countries of import. The data provide volumes (in tonnes) and value of soy exports (in US dollars), as well as the deforestation exposure in the supply chain of companies and countries.
DOI: 10.5517/ccdc.csd.cc1zkksw
title: CCDC 1834139: Experimental Crystal Structure Determination

description: Related Article: Bu Xianhe, Li Na, Chang Ze|2020|U.S.Patents|||
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: 10.5519/qd.2i4gf645
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (12752 records)
DOI: 10.26537/recipp-23276
title: A memória na sustentabilidade do turismo – O caso do projeto A Rota do Pescador
DOI: 10.5281/zenodo.8164503
title: Global datasets to evaluate a multi-sensor approach for observation of floods

description: <strong>1. Overview</strong> This repository contains datasets used to evaluate potential improvements to flood detectability afforded by combining data collected by Landsat, Sentinel-2, and Sentinel-1 for the first time globally. The datasets were produced as part of the manuscript "A multi-sensor approach for increased measurements of floods and their societal impacts from space" which is currently in review. <strong>2. Dataset Descriptions</strong> There are two datasets included here. <strong>(a) A global grid of revisit periods of Landsat, Sentinel-1, Sentinel-2 Satellites and their combination </strong>[GlobalMedianRevisits.zip] A global dataset of revisit periods of individual satellites and their combination based on a 0.5-degree resolution grid.<br> Revisit periods are defined as the time between two consecutive observations of a particular point on the surface, for the satellite missions Landsat, Sentinel-2 and Sentinel-1. The grid was created using ArcMap 10.8.1 and intersections of the grid were used to create points. For each individual point, average revisit times (i.e., to account for irregular revisits, downlink issues) were calculated for each individual satellite and the composite of the three satellites. Averaged revisit times for each of these points were calculated based on the number of image tiles that intersected a particular grid point with more than a 30-minute time difference between each other acquired between 01 Jan 2016 and 31 Dec 2020.<br> The following equation is used to calculate revisit periods: Average revisit time for a grid point = (Number of days between 01 Jan 2016 and 31 Dec 2020 (1827)) / (Total Number of Images captured) Only revisits occurring between 82.5 N and 55 S of land grid points are considered; Antarctica is omitted from analysis. For satellite missions that consist of two spacecraft orbiting simultaneously (Sentinel-1 A/B, and Sentinel-2 A/B), images acquired by both satellites were used in average revisit period calculation for a given grid point. Sum totals of image tiles of all three missions are used to calculate composite point-based revisit times. <strong>(b) Average revisit periods of satellites for flood records in the DFO database </strong>[FloodInfo.zip] Average Revisit Times of Landsat, Sentinel-1, Sentinel-2 and their ensemble are calculated for 5130 flood records in the Dartmouth Flood Observatory's (DFO) flood record database. These were appended to the already existing attributes of the database.
DOI: 10.5281/zenodo.8164502
title: Global datasets to evaluate a multi-sensor approach for observation of floods

description: <strong>1. Overview</strong> This repository contains datasets used to evaluate potential improvements to flood detectability afforded by combining data collected by Landsat, Sentinel-2, and Sentinel-1 for the first time globally. The datasets were produced as part of the manuscript "A multi-sensor approach for increased measurements of floods and their societal impacts from space" which is currently in review. <strong>2. Dataset Descriptions</strong> There are two datasets included here. <strong>(a) A global grid of revisit periods of Landsat, Sentinel-1, Sentinel-2 Satellites and their combination </strong>[GlobalMedianRevisits.zip] A global dataset of revisit periods of individual satellites and their combination based on a 0.5-degree resolution grid.<br> Revisit periods are defined as the time between two consecutive observations of a particular point on the surface, for the satellite missions Landsat, Sentinel-2 and Sentinel-1. The grid was created using ArcMap 10.8.1 and intersections of the grid were used to create points. For each individual point, average revisit times (i.e., to account for irregular revisits, downlink issues) were calculated for each individual satellite and the composite of the three satellites. Averaged revisit times for each of these points were calculated based on the number of image tiles that intersected a particular grid point with more than a 30-minute time difference between each other acquired between 01 Jan 2016 and 31 Dec 2020.<br> The following equation is used to calculate revisit periods: Average revisit time for a grid point = (Number of days between 01 Jan 2016 and 31 Dec 2020 (1827)) / (Total Number of Images captured) Only revisits occurring between 82.5 N and 55 S of land grid points are considered; Antarctica is omitted from analysis. For satellite missions that consist of two spacecraft orbiting simultaneously (Sentinel-1 A/B, and Sentinel-2 A/B), images acquired by both satellites were used in average revisit period calculation for a given grid point. Sum totals of image tiles of all three missions are used to calculate composite point-based revisit times. <strong>(b) Average revisit periods of satellites for flood records in the DFO database </strong>[FloodInfo.zip] Average Revisit Times of Landsat, Sentinel-1, Sentinel-2 and their ensemble are calculated for 5130 flood records in the Dartmouth Flood Observatory's (DFO) flood record database. These were appended to the already existing attributes of the database.
DOI: 10.26537/recipp-23280
title: Apresentação da Licenciatura de Ciências e Tecnologias da Documentação e Informação
DOI: 10.5519/qd.wein1y5p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.7910/dvn/yrirdx
title: Replication Data for: "Rally 'round the barrack: Far-right support and the military"

description: Despite the importance of authoritarian and nationalist values in military culture, we know little about the link between the military and the far right. In this article we argue that there is an ideological affinity between the military and far-right parties, strengthened by occupational socialization. Moreover, the presence of military institutions also helps mobilizing far-right support among the surrounding population. We test this argument using data from Spain. We show both that military personnel are substantially more likely than civilians to support the far right and that the location of military facilities in Spain is linked to higher far-right support. We also discuss the generalizability of the results and provide tentative evidence that a similar link is likely to be observed in countries where the armed forces have been historically focused on controlling internal dissent and where national sovereignty has been threatened, by either internal or external challengers.
DOI: 10.5281/zenodo.7299913
title: Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.

description: Datasets companion of the manuscript entitled GenAPoPop 1.0: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms, used to achieve consistency test with Spagedi 1.5 software, and used as reference datasets to demonstrate the new possibilities allowed by GenAPoPop software. Raw datasets used for testing GenAPoPop 1.0, A user-friendly software for easily compute genetic analyses of autopolyploid populations packaged for Linux, MacOS and Windows; Results obtained from Spagedi 1.5 (Hardy & Vekemans 2001) and GenAPoPop1.0. Four pseudo-observed genotyping autotetrapolyploid SNP datasets, corresponding respectively to panmictic (A), highly clonal (B), highly selfed (C) and half-clonal-half-selfed (D) reproductive mode scenario. In all these four scenarios, we simulated two populations of 100 individuals each, connected with a migration rate of 0.01 and mutating at a rate of 0.01, genotyped at 10 SNPs. Datasets were recorded 1000 generations after an initial randomly drawing population with equal allele frequencies. One SNP tetraploid genotyping dataset from two French <em>Ludwigia grandiflora subsp. hexapetala</em> populations (aquatic plant from the Angiosperm clade): two populations in which we collected 75 individuals, each genotyped with 36 SNPs using the Hiplex method allowing confident allele dosage (Delord et al. 2018). One microsatellite tetraploid genotyping dataset on two Aulactinia stella populations (sea-anemone from the Cnidaria phylum), sampled on the coast of the arctic ocean. One population of 21 individuals and one population of 15 individuals, both genotyped with 10 microsatellites. We also report here the consistency tests with GenAlex and Spagedi, results of analyses (GPP tab) on 6300 independant simulations and inferences of the quantitative reproductive modes using the bayesian method on CEMP tab made on 6300 another independant simulations.
DOI: 10.5281/zenodo.7299914
title: Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.

description: Datasets companion of the manuscript entitled GenAPoPop 1.0: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms, used to achieve consistency test with Spagedi 1.5 software, and used as reference datasets to demonstrate the new possibilities allowed by GenAPoPop software. Raw datasets used for testing GenAPoPop 1.0, A user-friendly software for easily compute genetic analyses of autopolyploid populations packaged for Linux, MacOS and Windows; Results obtained from Spagedi 1.5 (Hardy & Vekemans 2001) and GenAPoPop1.0. Four pseudo-observed genotyping autotetrapolyploid SNP datasets, corresponding respectively to panmictic (A), highly clonal (B), highly selfed (C) and half-clonal-half-selfed (D) reproductive mode scenario. In all these four scenarios, we simulated two populations of 100 individuals each, connected with a migration rate of 0.01 and mutating at a rate of 0.01, genotyped at 10 SNPs. Datasets were recorded 1000 generations after an initial randomly drawing population with equal allele frequencies. One SNP tetraploid genotyping dataset from two French <em>Ludwigia grandiflora subsp. hexapetala</em> populations (aquatic plant from the Angiosperm clade): two populations in which we collected 75 individuals, each genotyped with 36 SNPs using the Hiplex method allowing confident allele dosage (Delord et al. 2018). One microsatellite tetraploid genotyping dataset on two Aulactinia stella populations (sea-anemone from the Cnidaria phylum), sampled on the coast of the arctic ocean. One population of 21 individuals and one population of 15 individuals, both genotyped with 10 microsatellites.
DOI: 10.5519/qd.xeczwc3y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.6410813
title: Data used for the article "Hybrid intrahour DNI forecast model based on DNI measurements and sky-imaging data"

description: Data used to obtain the results presented in the article "Hybrid intrahour DNI forecast model based on DNI measurements and sky-imaging data". CNRS_PROMES_DNI_2020-09-03_2021-01-11.zip : contains DNI measurements taken at PROMES-CNRS laboratory in Odeillo. The other zipped files contain image data taken at PROMES-CNRS laboratory in Odeillo. Each zipped file contains all images for one day (the date is given in the file name). Images and GHI measures from the following days have been used for training and cross-validation: 2020-09-11 2020-09-12 2020-09-16 2020-09-19 2020-09-20 2020-09-21 2020-09-22 2020-09-23 2020-09-24 2020-09-29 2020-10-01 Images and GHI measures from the following days have been used for test: 2020-10-04 2020-10-05 2020-10-08 2020-11-05 2020-11-15
DOI: 10.5281/zenodo.6410814
title: Data used for the article "Hybrid intrahour DNI forecast model based on DNI measurements and sky-imaging data"

description: Data used to obtain the results presented in the article "Hybrid intrahour DNI forecast model based on DNI measurements and sky-imaging data". CNRS_PROMES_DNI_2020-09-03_2021-01-11.zip : contains DNI measurements taken at PROMES-CNRS laboratory in Odeillo. The other zipped files contain image data taken at PROMES-CNRS laboratory in Odeillo. Each zipped file contains all images for one day (the date is given in the file name). Images and GHI measures from the following days have been used for training and cross-validation: 2020-09-11 2020-09-12 2020-09-16 2020-09-19 2020-09-20 2020-09-21 2020-09-22 2020-09-23 2020-09-24 2020-09-29 2020-10-01 Images and GHI measures from the following days have been used for test: 2020-10-04 2020-10-05 2020-10-08 2020-11-05 2020-11-15
DOI: 10.5519/qd.sovxmu3g
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.26537/recipp-23282
title: Seminar: Professional Skills Of The Graduates In Library And Information Sciences And Technologies From The Point Of View Of The Potential Employers, Students And Professors
DOI: 10.5519/qd.lega0lzu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (28254 records)
DOI: 10.34740/kaggle/dsv/6161768
title: Time Series - Daily
DOI: 10.5519/qd.svqdn2qq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.2908/ten00020
title: Population connected to urban wastewater collecting and treatment systems, by treatment level
title: Population reliée aux systèmes de collecte et de traitement des eaux usées urbaines, par niveau de traitement
title: Bevölkerungsanteil angeschlossen an Abwassersammlung und -behandlung, nach Behandlungsgrad

description: Prozentualer Anteil der Bevölkerung, der an die Kanalisation angeschlossen ist, ungeachtet der Verfügbarkeit von Kläranlagen. Dies bezieht sich auf alle Arten der Abwasserbehandlung (Primär- bis Tertiärbehandlung) in kommunalen Kläranlagen, die von Behörden oder privaten Unternehmen betrieben werden und hauptsächlich der Abwasserbehandlung dienen.
description: Percentage of the population served by a sewer system, regardless of the availability of treatment facilities. This relates to any kind of sewage treatment (primary to tertiary) in municipal treatment plants run by public authorities or by private companies.
description: Pourcentage de la population bénéficiant d'un système d'égouts, indépendamment de l'existence d'usines de traitement. Concerne toutes sortes de traitement des eaux usées (primaire à tertiaire) dans les usines de traitement municipales dirigées par les pouvoirs publics ou par des entreprises privées
DOI: 10.2908/ten00130
title: Final non-energy consumption by type of fuel
title: Consommation finale non- énergétique par type de carburant
title: Endgültiger nicht energetischer Endenergieverbrauch nach Kraftstofftyp

description: Der nichtenergetische Endverbrauch umfasst Mengen an primären oder aus fossilen Brennstoffen gewonnenen Brennstoffen, die nicht verbrannt wurden, aber aufgrund ihrer chemischen Eigenschaften verwendet wurden. Hierzu zählen beispielsweise Bitumen als Straßenbelag, Schmiermittel und Erdgas als Ausgangsmaterial für die chemische und petrochemische Industrie. Biokraftstoffe, die nicht für Energiezwecke verwendet werden, sind vom Geltungsbereich der Energiestatistik ausgenommen.
description: Final non-energy consumption includes quantities of primary or derived fossil fuels that were not combusted but were used for their chemical properties. For example this includes bitumen used as road surface, lubricants and natural gas used as feedstock by the chemical and petrochemical industries. Biofuels used for non-energy purposes are excluded from the scope of energy statistics.
description: La consommation finale non- énergétique comprend les quantités de combustibles fossiles primaires ou dérivés qui n’ont pas été brûlés mais qui ont été utilisés pour leurs propriétés chimiques. Par exemple, cela inclut le bitume utilisé comme revêtement routier, les lubrifiants et le gaz naturel utilisé comme matière première par l’industrie chimique et pétrochimique. Les biocarburants utilisés à des fins non énergétiques sont exclus du champ des statistiques de l'énergie.
DOI: 10.2908/ten00131
title: Employment in the EU environmental economy by environmental protection and resource management activities
title: Emploi dans l'économie environnementale de l’UE par les activités de protection de l'environnement et de gestion des ressources
title: Beschäftigung in der Umweltwirtschaft, EU-weit nach Maßnahmen für Umweltschutz und Ressourcenmanagement

description: Diese Tabelle präsentiert Daten zur Beschäftigung in der Umweltwirtschaft der Europäischen Union, gemessen in Vollzeit-Äquivalenten und untergliedert nach Maßnahmen für Umweltschutz und Ressourcenmanagement. Die Umweltwirtschaft umfasst alle wirtschaftlichen Aktivitäten, die sich dem Umweltschutz und der nachhaltigen Nutzung von natürlichen Ressourcen widmen.
description: This table presents employment in the European Union’s (EU’s) environmental economy, as it is defined in the European environmental goods and services sector (EGSS) accounts. The environmental economy encompasses activities and products that serve either of two purposes: ‘environmental protection’ — that is, preventing, reducing and eliminating pollution or any other degradation of the environment, or ‘resource management’ — that is, preserving and maintaining the stock of natural resources, hence safeguarding it against depletion.
description: Ce tableau présente l'emploi dans l'économie environnementale de l'Union européenne mesurées en équivalents temps plein et ventilées par mesures de protection de l'environnement et de gestion des ressources. L'économie environnementale comprend toutes les activités économiques dédiées à la protection de l'environnement et à l'utilisation durable des ressources naturelles.