Other language confidence: 0.6963985065397635
Emeralds from Colombia are among the most highly-prized and valuable gemstones. Their growth phenomena including information about the geology of the area were described in detail by Pig-natelli et al. (2015, 2022) and Schmetzer and Martayan (2023). Here, we present data obtained by scanning electron microscopy (SEM), electron microprobe analysis (EMPA), and infrared absorption spectroscopy (IR) for five emerald crystals. The surface of the crystals shows both, growth phe-nomena as well as dissolution phenomena, the latter as etch pits (EP). Such EP have been used previously for other beryl types, mainly from pegmatitic environments (Kurumathoor and Franz, 2018); the Colombian emeralds come from low-grade metamorphosed black shales and thus offer the possibility to extend the use of EP as a provenance indicator to other types of beryl deposits. Internal structures are manifested in chemical zoning, investigated by EMPA and micro-X-ray fluo-rescence (µXRF). The crystals are characterized chemically by EMPA, polarized IR spectroscopy of oriented crystals showed the presence of fluids in the channels of the beryl structure.
This dataset includes new geochemical and isotopic analyses for 46 samples from the Transminas and Pirenópolis dike swarms in southeastern and central Brazil. It comprises whole-rock major and trace element compositions, and Sr-Nd-Pb isotopes. The new analyses are presented for 46 samples using the bulk and in-situ data templates developed by EarthChem. Analytical work was conducted at the Geoanalítica Core Facility of the Instituto de Geociências, University of São Paulo, and at the Geochronology Laboratory of the University of Brasília, both in Brazil.
Ziel des Vorhabens ist es, die in GerES VI gewonnenen Morgenurinproben der Erwachsenen bzw. die vorhandenen Rückstellproben der Kinder und Jugendlichen aus GerES V auf Schadstoffe zu analysieren, die eine besondere Gesundheitsrelevanz aufweisen, wie bspw. die Gruppe der Biozide/Pestizide. In GerES IV (ehemals Kinder-Umwelt-Survey, KUS) wurden letztmalig Morgenurine von 3- bis 14-Jährigen auf Organophosphate und Pyrethroide untersucht. Jedoch gibt es für zahlreiche Pestizide keine aktuellen, repräsentativen Daten zur korporalen Belastung der Bevölkerung in Deutschland. Daher wird momentan die mögliche Belastung über Berechnungen basierend auf dem Lebensmittelverzehr und Belastungsdaten der verzehrten Lebensmittel geschätzt. Um diese Datenlücke zu schließen, wurden Biozide/Pestizide als priorisierte Substanzgruppe im Rahmen des Projekts HBM4EU erkannt. Zur Festlegung des Analytspektrums wurde im Rahmen von HBM4EU eine Auswertung zu deutschen und europäischen Anwendungsdaten der Pestizide/Biozide und eine Auswertung der in Europa vorhandenen Expositionsdaten durchgeführt. Zusammen mit den Ergebnissen der Befragung der teilnehmenden Personen liefern die Analysen der Morgenurine repräsentative Informationen zur Belastung der in Deutschland lebenden Bevölkerung.
This dataset comprises new chemical, isotopic and geochronological analyses for 3 samples from the Cenomanian Serra do Cuó olivine basalts from northeast Brazil. Whole rock major, trace element and Sr-Nd-Pb isotope compositions as well as mineral oxide compositions for pyroxenes, plagioclase, olivine, and Fe-Ti oxides. New analyses on 3 samples are presented in the bulk and in-situ data templates developed by EarthChem. A compilation of all new analyses and previous whole-rock data from Sial (1978) are also provided. Analyses were carried out at the Geoanalítica Core Facility, Isotope Geology Research Center and Geochronological Research Center (CPGeo) at the Instituto de Geociências, University of São Paulo, Brazil. This dataset is supplementary to: Macêdo Filho, A. A., Oliveira, A. L., Klöcking, M., Janasi, V. A., Archanjo, C. J., & Lino, L. M. (2025). Petrology of Cenomanian basalts on the Brazilian equatorial margin: Implications for the tectonomagmatic evolution of the drift phase. Geochemistry, 126248. https://doi.org/10.1016/j.chemer.2025.126248. The data publication includes the following Excel Tables: (1) 2025-002_MacedoFilho_BulkSample_Analyses (DIGIS/EarthChem Template, EarthChem Team, 2022a): Whole rock major, trace element and Sr-Nd-Pb isotope compositions and 40Ar/39Ar age; with additional information on sample collection and analytical methods. (2) 2025-002_MacedoFilho_InSitu_Analyses (DIGIS /EarthChem Template, EarthChem Team, 2022b): Mineral oxide compositions for pyroxene, plagioclase, olivine, and Fe-Ti oxides; with additional information on sample collection and analytical methods. (3) 2025-002_MacedoFilho_suppl-compiled: supplementary data tables from Macêdo Filho et al. (2025). Excel file with the six spreadsheets: Table A1. whole-rock chemistry; Table A2. Feldspar chemistry; Table A3. Pyroxene chemistry; Table A4. Olivine chemistry; Table A5. Titanomagnetite chemistry; Table A6. Ar-Ar Geochronology. Table A1 compiles analyses from Sial (1978) as well as new data. Reference: Sial, A. N. (1978). Major and trace chemistry of the Tertiary basaltic suite of Rio Grande do Norte and Paraíba, northeast Brazil. Jornal de Mineralogia, 7, 119-128.
The island of Holsnøy is located in southwestern Norway. It is composed of metastable granulite facies lower crust that was subducted at 430 Ma when fluid infiltrated the region and reacted with large portions of the area to form eclogite facies shear zones. The eclogite facies assemblages contain garnet with granulite facies cores and eclogite facies fractures and rims. This dataset contains quantitative electron microprobe transects from garnets from four different eclogite facies samples. They are divided into two groups: rim profiles that run from the garnet rims toward the cores, and fracture profiles that run perpendicular to eclogite facies fractures. Some profiles have 5–10 µm spacing and were collected at 15 kV accelerating voltage whereas others have 1 µm spacing and were collected at 10 kV which reduced analytical convolution and facilitated higher spatial resolution of the profiles.
This dataset comprises new chemical, isotopic and geochronological analyses for 14 samples from the Angicos Plutonism (Angicos Batholith and Poço da Oiticica Stock) from northern Borborema Province, NE Brazil. Whole rock major and trace element compositions as well as mineral oxide compositions for feldspars, biotite, and Fe-oxides. New analyses on 14 samples are presented in the bulk and in-situ data templates developed by EarthChem. A compilation of all new analyses and previous whole-rock data from Jardim de Sá (1994) are also provided. Analyses were carried out at the Geoanalítica Core Facility at the Instituto de Geociências, University of São Paulo, Brazil. The data are reported with the EarthChem/ DIGIS data templates (IEDA, 2022).
Die im LUNG gemessenen Werte betreffen die 16 PAK¿s nach EPA. Hierbei werden auch weitere bodenanalytische Daten wie CNS-Gehalte und Gew%-Trockensubstanz erhoben und ausgewertet. Es sind im Labor des LUNG M-V erhobene Daten (Meß-Rohdaten, kombinierte Daten, Meßreihen, Chromatogramme, statistische Aussagen über Daten). Sie sind verteilt abgelegt in Laborbüchern, Rohdatenfiles der Meßgeräte, Spreadsheet-Daten. Es handelt sich um bodenchemische Daten. Die Daten sind ausgewertet und bewertet und werden mit flächenmäßigen Darstellungen und einem Bericht (1 Zwischenbericht) abgelegt.
The dataset contains a set of structural and non-structural attributes collected using the GFZ RRVS methodology in Kyrgyzstan and Tajikistan, within the framework of the projects EMCA (Earthquake Model Central Asia), funded by GEM, and "Assessing Seismic Risk in the Kyrgyz Republic", funded by the World Bank. The survey has been carried out between 2012 and 2016 using a Remote Rapid Visual Screening system developed by GFZ and employing omnidirectional images and footprints from OpenStreetMap. The attributes are encoded according to the GEM taxonomy v2.0 (see https://taxonomy.openquake.org). The following attributes are defined (not all are observable in the RRVS survey): code description lon longitude in fraction of degrees lat latitude in fraction of degrees object_id unique id of the building surveyed MAT_TYPE Material Type MAT_TECH Material Technology MAT_PROP Material Property LLRS Type of Lateral Load-Resisting System LLRS_DUCT System Ductility HEIGHT Height YR_BUILT Date of Construction or Retrofit OCCUPY Building Occupancy Class - General OCCUPY_DT Building Occupancy Class - Detail POSITION Building Position within a Block PLAN_SHAPE Shape of the Building Plan STR_IRREG Regular or Irregular STR_IRREG_DT Plan Irregularity or Vertical Irregularity STR_IRREG_TYPE Type of Irregularity NONSTRCEXW Exterior walls ROOF_SHAPE Roof Shape ROOFCOVMAT Roof Covering ROOFSYSMAT Roof System Material ROOFSYSTYP Roof System Type ROOF_CONN Roof Connections FLOOR_MAT Floor Material FLOOR_TYPE Floor System Type FLOOR_CONN Floor Connections. For each building an EMCA vulnerability class has been assigned following the fuzzy scoring methodology described in Pittore et al., 2018. The related class definition schema (as a .json document) is included in the data package.
Version History11 Sep 2019: Release of Version 1.1 with the following changes: (1) new licence: CC BY SA 4.0, modification of the title: removal of file name and version); (2) addition of ORIDs when available. The metadata of the first version 1.0 is available in the download folder.. Data and file names remain unchanged.The EMCA (Earthquake Model Central Asia) catalogue (Mikhailova et al., 2015) includes information for 33620 earthquakes that occurred in Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan and Turkmenistan). The catalogue provides for each event the estimated magnitude in terms of MLH (surface wave magnitude) scale, widely used in former USSR countries.MLH magnitudes range from 1.5 to 8.3. Although the catalogue spans the period from 2000 BC to 2009 AD, most of the entries (i.e. 33378) describe earthquakes that occurred after 1900. The catalogue includes the standard parametric information required for seismic hazard studies (i.e., time, location and magnitude values). The catalogue has been composed by integrating different sources (using different magnitude scales) and harmonised in terms of MLH scale. The MLH magnitude is determined from the horizontal component of surface waves (Rautian and Khalturin, 1994) and is reported in most of the seismic bulletins issued by seismological observatories in Central Asia. For the instrumental period MLH magnitude was estimated, when not directly measured, either from body wave magnitude (Mb), the energy class (K) or Mpva (regional magnitude by body waves determined by P-wave recorded by short-period instruments) using empirical regression analyses. The following relationships were used to estimate MLH (see Mikhailova, internal EMCA report, 2014):(1) MLH=0.47 K-1.15(2) MLH=1.34 Mb-1.89(3) MLH=1.14 Mpva-1.45When multiple scales were available for the same earthquake, priority was given to the conversion from K class. For the historical period, the MLH values were obtained from macroseismic information (Kondorskaya and Ulomov, 1996).
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