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Effects of European emissions trading on the transformation of primary steelmaking: Assessment of economic and climate impacts in a case study from Germany
<p>Supplementary Information 1: This supporting information provides information on the modeling of material and energy flows for conventional and low-carbon steelmaking in an integrated steel mill. To this end, the production activities (unit processes) are provided. Also, information on the assessment of economic and climate impacts is included.</p> <p>Supplementary Information 2: This supporting information provides information on the main mechanisms of the European emissions trading system. Thereby, a focus is laid on regulations for the free allocation of EU allowances toward companies from the sectors with a high risk of carbon leakage. Additionally, the assessment and optimization models for designing favorable transformation pathways of integrated steel mills are provided. Also, the main assumptions and complementary results are provided.</p>
Hyperspectral Remote-sensing reflectance and Chlorophyll-a concentration from Lakes in North Germany
<p><span>Hyperspectral Remote-sensing reflectance data collected by the </span><span>Leibniz Institute of Freshwater Ecology and Inland Fisheries </span><span>(</span><span>IGB</span><span>) within the</span><span> <span>Connectivity and synchronisation of lake ecosystems in space and time (CONNECT</span></span><span> project</span><span>)</span><span>. </span></p> <p><span>This data set is limited to records for </span><span>one field sampling campaign in 26.07.2019</span><span>. </span></p> <p><span>Field data collection and processing:</span></p> <p><span>Ogashawara, I.; Kiel, C.; Jechow, A.; Kohnert, K.;<span> </span>Ruhtz, T.; Grossart, H.-P.; Hölker, F.; Nejstgaard, J.C.; Berger, S.A.; Wollrab, S. The Use of Sentinel-2 for Chlorophyll-a Spatial Dynamics Assessment: A Comparative Study on Different Lakes in Northern Germany. Remote Sensing, v. 13, 1542, 2021. doi:10.3390/rs13081542 </span></p> <p><span>Data specification</span></p> <p><span>Station name – name of the station</span></p> <p><span>lat, lon - geographical latitude/longitude coordinates in decimal degrees</span></p> <p><span>chl-a</span><span> - </span><span>chlorophyll-a concentration in μg/L</span><span> </span></p> <p><span>Rrs</span><span> 380… Rrs 779 </span><span>- Remote-sensing reflectance (Rrs, units 1/sr). The sequential numbering (</span><span>380 - 779</span><span>) denote</span><span>s the</span><span> wavelength in nm. </span></p> <p> </p>
360 street view of ULM germany, timestamped with gps data
Open the record for dataset details and reuse information.
Supplementary material 2 from: Bicking S, Burkhard B, Kruse M, Müller F (2018) Mapping of nutrient regulating ecosystem service supply and demand on different scales in Schleswig-Holstein, Germany. One Ecosystem 3: e22509. https://doi.org/10.3897/oneeco.3.e22509
Average yield (in t/ha) of agricultural crops in Schleswig-Holstein in 2010 (data from Statistikamt Nord 2010), nitrogen content (in kg N/dt fresh weight) of crop plants (data from DüV 2007) and corresponding estimated nitrogen content per hectare.
Supplementary material 3 from: Bicking S, Burkhard B, Kruse M, Müller F (2018) Mapping of nutrient regulating ecosystem service supply and demand on different scales in Schleswig-Holstein, Germany. One Ecosystem 3: e22509. https://doi.org/10.3897/oneeco.3.e22509
Relevant nitrogen application and input rates considering nitrogen losses (data from Landwirtschaftskammer Niedersachsen 2017b).
Supplementary material 1 from: Bicking S, Burkhard B, Kruse M, Müller F (2018) Mapping of nutrient regulating ecosystem service supply and demand on different scales in Schleswig-Holstein, Germany. One Ecosystem 3: e22509. https://doi.org/10.3897/oneeco.3.e22509
Nitrogen excretion (in kg N/year) of livestock (data from the Ministerium für Landwirtschaft, Umwelt und Verbraucherschutz Mecklenburg-Vorpommern 2008)
Supplementary material 1 from: Raupach MJ, Hannig K, Morinière J, Hendrich L (2018) A DNA barcode library for ground beetles of Germany: the genus Amara Bonelli, 1810 (Insecta, Coleoptera, Carabidae). ZooKeys 759: 57-80. https://doi.org/10.3897/zookeys.759.24129
Barcode analysis using the BOLD workbench : Explanation note: Molecular distances based on the Kimura 2-parameter model of the analysed specimens of the studied species of the genera Amara and Zabrus. Divergence values were calculated for all studied sequences, using the Nearest Neighbour Summary implemented in the Barcode Gap Analysis tool provided by the Barcode of Life Data System (BOLD). Align sequencing option: BOLD aligner (amino acid based HMM), ambiguous base/gap handling: pairwise deletion. ISD = intraspecific distance. BINs are based on the barcode analysis from 15-01-2018. Asterisks indicate species not recorded from Germany. Species pairs with interspecific distances <2.2% are marked in bold.
Supplementary material 2 from: Raupach MJ, Hannig K, Morinière J, Hendrich L (2018) A DNA barcode library for ground beetles of Germany: the genus Amara Bonelli, 1810 (Insecta, Coleoptera, Carabidae). ZooKeys 759: 57-80. https://doi.org/10.3897/zookeys.759.24129
Neighbour joining topology : Explanation note: Neighbour joining phylogram of all analysed ground beetle specimen based on Kimura 2-parameter distances. Individuals are classified using ID numbers from BOLD and species name. Numbers next to nodes represent non-parametric bootstrap values (1,000 replicates, in %).
Alignment, ML and MCC trees of dataset A from "Reconstruction of the genetic history and the current spread of HIV-1 subtype A in Germany"
<p>-Alignment and phylogeographic MCC tree of 708 HIV subtype A1 sequences called dataset A in the manuscript "Reconstruction of the genetic history and the current spread of HIV-1 subtype A in Germany"</p> <p>-marked up MCC tree showing SDRM in dataset A</p> <p>-marked up ML tree showing transmission cluster selection in dataset A</p>
Figure 18 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 18. Proximal end of theropod ulnae, demonstrating character states for character 563. (A) Left ulna of Coelurus fragilis (YPM 2010). (B) Left ulna of Confuciusornis sanctus (JME 1997/1) Scale bar is 10 mm in (A) and in mm in (B). DOI: https://doi.org/10.7554/eLife.43789.025
Figure 17 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 17. Development of the tuberculum bicipitale radii in basal avialan theropods. (A) Right elbow joint of Archaeopteryx (Munich specimen). (B) Right elbow joint of the Ottmann and Steil specimen (probably Archaeopteryx). (C) Left elbow joint of Confuciusornis sanctus (SNSB-BSPG 1999 I 15). Abbreviations: hu, humerus; r, radius; tbr, tuberculum bicipitale radii; ul, ulna. DOI: https://doi.org/10.7554/eLife.43789.024
Figure 16 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 16. Development of the deltopectoral crest and the facet for the pectoralis muscle in several theropods. (A) Right humerus of the basal maniraptoriform Ornitholestes hermani (AMNH 619). (B) Left humerus (reversed for comparison) of the dromaeosaurid Unenlagia comahuensis (MCF PVPH 78). (C) Right humerus of Alcmonavis poeschli (under ultraviolet light; SNSB-BSPG 2017 I 133). (D) Right humerus of Bucorvus abyssinicus (northern ground hornbill; SNSB-BSPG unnumbered). DOI: https://doi.org/10.7554/eLife.43789.023
Figure 13 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 13. Proximal part of the humerus of specimens of Archaeopteryx in anteromedial view, showing the lack of a pronounced facet for the pectoralis muscle in this taxon. (A) London specimen. (B) Thermopolis specimen. DOI: https://doi.org/10.7554/eLife.43789.017
Figure 9 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 9. Distal carpals and bases of metacarpals of Alcmonavis poeschli in (A) normal and (B) ultraviolet light. Abbreviations as in Figures 2, 4 and 8, and: patr, palmar trochlear ridge; pltr, plantar trochlear ridge. Scale bar is 5 mm. DOI: https://doi.org/10.7554/eLife.43789.011
Figure 15 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 15. Phylogenetic position of Alcmonavis poeschli. Time-calibrated, simplified reduced consensus tree resulting from an analysis of 136 taxa scored for 565 characters under equally-weighted parsimony (see text and supplementary material for details). Nodes with circuit numbers: 1, Maniraptora; 2, Pennaraptora; 3, Paraves; 4, Deinonychosauria; 5, Avialae; 6, Anchiornithidae; 7, Pygostylia; 8, Ornithothoraces. Bremer supports are shown for the clade Avialae. DOI: https://doi.org/10.7554/eLife.43789.019 The following figure supplements are available for figure 15: Figure supplement 1. Full strict consensus tree of the unweighted analysis with Bremer support and Bootstrap values for clades with a support of 50% or more indicated. DOI: https://doi.org/10.7554/eLife.43789.020 Figure supplement 2. Full reduced consensus tree of the unweighted analysis. DOI: https://doi.org/10.7554/eLife.43789.021 Figure supplement 3. Strict consensus tree of the analysis using implied weights with Bremer support and Bootstrap values for clades with a support of 50% or more indicated. DOI: https://doi.org/10.7554/eLife.43789.022
Figure 7 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 7. Radius of Alcmonavis poeschli. (A) Proximal end as exposed in medial view. (B) Proximal end in oblique posteromedial view. (C) mid-shaft in medial view. Abbreviations: fu, longitudinal furrow; tbr, tuberculum bicipitale radii. Scale bars are 5 mm. DOI: https://doi.org/10.7554/eLife.43789.009
Figure 6 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 6. Distal end of ulna and proximal carpals of Alcmonavis poeschli in (A) normal and (B) ultraviolet light. Abbreviations as in Figures 2 and 4 and: amr, anteromedial ridge. Scale bar is 5 mm. DOI: https://doi.org/10.7554/eLife.43789.008
Figure 4 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 4. Antebrachium and manus of Alcmonavis poeschli. Abbreviations as in Figure 1, and: pi, pisiforme; ra, radiale. Scale bar is 5 cm. DOI: https://doi.org/10.7554/eLife.43789.006
Figure 2 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 2. Overview photograph of holotype specimen of Alcmonavis poeschli gen. et sp. nov., SNSB-BSPG 2017 I 133. Abbreviations: hu, humerus; mc, metacarpus; r, radius; sl, semilunate carpal; ul, ulna; Roman numerals indicate digits and Arabic numerals indicate phalanges of digits. Scale bar is 5 cm. DOI: https://doi.org/10.7554/eLife.43789.004
Figure 3 in A non-archaeopterygid avialan theropod from the Late Jurassic of southern Germany
Figure 3. Right humerus of Alcmonavis poeschli in (A) normal and (B) ultraviolet light. Abbreviations: dpc, deltopectoral crest; fmb, fossa musculus brachialis; it, internal tuberosity; mp, attachment facet for m. pectoralis; rc, radial condyle. Scale bar is 3 cm. DOI: https://doi.org/10.7554/eLife.43789.005
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.