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Fig. 2 in Georg Bojung "Scato" Lantzius-Beninga and his contributions on the anatomy of moss capsules: a transliteration from the original German texts

Fig. 2. Part of a transverse section of a capsule of the same moss. Meaning of the letters and magnifiction as for the previous figure.

Fig. 3 in Georg Bojung "Scato" Lantzius-Beninga and his contributions on the anatomy of moss capsules: a transliteration from the original German texts

Fig. 3. Half of a longitudinal section of a mature capsule of Gymnostomum pyriforme; it is to note that the loose tissue at y is the lower part of the columella, which is, in a younger state, strongly tightened, slackens more, as presented, when the spore sac is more expanded, and is totally compressed by the complete development of the spores. See the additional remarks in the text. Magnification x 135.

Fig. 6 and 7 in Georg Bojung "Scato" Lantzius-Beninga and his contributions on the anatomy of moss capsules: a transliteration from the original German texts

Fig. 6 and 7. Parts of a transverse and a longitudinal section of a fully grown but yet young capsule of Weissia curvirostra Hedw. (Anacalypta rubella Hübener). Magnification ~x 250 of the transverse section, ~x 300 of the longitudinal section.

Fig. 9 in Georg Bojung "Scato" Lantzius-Beninga and his contributions on the anatomy of moss capsules: a transliteration from the original German texts

Fig. 9*. Part of a transverse section of a young capsule of Syntrichia subulata. ee epidermis, me outer capsule wall, v gap between outer capsule wall and spore sac, sc spore sac, cc columella, s mother cells with nuclei, x row of mother cells, exceptionally found in the tissue of the columella.

Fig. 17 in Georg Bojung "Scato" Lantzius-Beninga and his contributions on the anatomy of moss capsules: a transliteration from the original German texts

Fig. 17. Part of a longitudinal section of a capsule of Fissidens adianthoides. Magnification x 175.

opencc-by-4.0Jan 2024View details →

Data for sensitivity analysis of Hübler, M., M. Wiese, M. Braun and J. Damster (2023): The distributional effects of CO2 pricing at home and at the border on German income groups

This dataset contains the output files used in the sensitivity analysis of the computable general equilibrium (CGE) model developed in Hübler et al. (2023). Each folder is labeled with the respective set of sector-level elasticity of substitution parameters considered in the analysis: elasticities between domestically produced versus imported goods (esubd), Armington elasticities (esubm) and elasticities between production factors (esubva). For each set of parameters, we generate 1000 random draws from a +-10 % interval around each of the sector-specific elasticities, resulting in 1000 sets of sectoral parameter values. Each .xlsx output file located in a dedicated subfolder corresponds to a model run with a specific set of parameter values. In addition, we conduct sensitivity analyses of two individual parameters, namely the CO2 target (CO2factor) considered in our policy scenarios and the elasticity of substitution in consumption (esub_cons). The sensitivity analysis is carried out using the <a href="https://snakemake.readthedocs.io/en/stable/">Snakeflow</a> workflow management system, and R code for generating parameter spaces and processing the output files is available on <a href="https://github.com/mariuslbraun/climate-trade-distribution-sensitivity">GitHub</a>.

opencc-by-4.0Jan 2024View details →

Indo-German Literature Dataset

<h1>Description</h1> The IGLD is a dataset which is a mirror of the data utilised in the <a href="https://github.com/kalawinka/season" rel="noopener noreferrer nofollow">SEASON project</a> selected from OpenAlex. It contains Indo-German research articles for research of academic collaboration between 1990 and 2022. <h1>Paper</h1> Our paper describing our work in the SEASON project: Aasif Ahmad Mir, Nina Sminova, Jeyshankar Ramalingam, & Philipp Mayr (2024). The rise of Indo-German collaborative research: 1990-2022. In Global Knowledge, Memory and Communication, 2024. https://doi.org/10.1108/GKMC-09-2023-0328 <h1>Usage</h1> <h2>Description of Selection and Cleaning</h2> The following search query: CU (“GERMANY” AND “INDIA”) was used to retrieve the data from WoS. The data were retrieved from the year 1990 till the 30th of November 2022. A total of 36,999 records were retrieved against the employed query. For the present dataset, we retrieved only articles identical to those from WoS. Our original dataset retrieved from WoS consisted of 36,999 entries. 33,319 entries possess a valid DOI, and 3,680 entries do not have a DOI. Therefore, we developed two approaches for retrieving desired data from the Openalex collection. Articles possessing a DOI were matched by DOI (dataset 1), and articles without DOI (dataset 2) were matched by article title and publication year. Afterwards, DOIs in dataset 1 were additionally compared to the DOIs from the original WoS dataset, all inconsistencies were removed. For dataset 2, authors were additionally checked. Authors’ surnames from dataset 2 and authors’ surnames from corresponding articles (matching by title and publication year) from the WoS dataset were compared. Only articles with matching publishing years, author surnames lists and titles were considered for the Openalex dataset. Following, dataset 1 and dataset 2 were combined into one final dataset (Openalex data). Additionally, all duplicates (by article ID) were removed from the Openalex data. In the final step, we checked if all entries contained both German and Indian affiliations. Some inconsistencies with the WoS data were observed: 5,584 entries, which have both Indian and German affiliations in WoS had only one of the indicated above affiliations in the Openalex. These entries were removed from the final dataset. The final dataset resulted in 22,844 unique entries. <h2>Column Descriptions</h2> These descriptions are relevant summaries or extracts from the documentation at <a href="https://docs.openalex.org/api-entities/works/work-object" rel="noopener noreferrer nofollow">https://docs.openalex.org/api-entities/works/work-object</a>, <a href="https://docs.openalex.org/api-entities/authors/author-object" rel="noopener noreferrer nofollow">https://docs.openalex.org/api-entities/authors/author-object</a> and <a href="https://docs.openalex.org/api-entities/institutions/institution-object" rel="noopener noreferrer nofollow">https://docs.openalex.org/api-entities/institutions/institution-object</a>. <ul> <li> article_id (Work attribute) <ul> <li> OpenAlex identifier for the article / work. To retrieve the work you can visit https://openalex.org/works/<article_id> </li> </ul> </li> <li> doi (Work attribute) <ul> <li> Digital Object Identifier for the work. Consists of a URL to doi.org </li> </ul> </li> <li> title (Work attribute) <ul> <li> Title of the work. </li> </ul> </li> <li> article_display_name (Work attribute) <ul> <li> Duplicate of "title" column, retained to match other OpenAlex objects' attribute. </li> </ul> </li> <li> publication_year (Work attribute) <ul> <li> The year in which the work was published. Please note that this is respective to the version of the work captured by OpenAlex as this particular entry. Other and potentially earlier published versions may be accessible in the work's location field, accessible from OpenAlex. </li> </ul> </li> <li> publication_date (Work attribute) <ul> <li> An ISO 8601 formatted date for the publication of the work. The same caveat to publication_year applies to publication_date. </li> </ul> </li> <li> article_type (Work attribute) <ul> <li> Type of work. E.g. Article, conference paper, report, dataset, etc. </li> </ul> </li> <li> article_type_crossref (Work attribute) <ul> <li> Legacy type information inherited from Crossref. </li> </ul> </li> <li> article_cited_by_count (Work attribute) <ul> <li> Number of citations to the work. </li> </ul> </li> <li> article_cited_by_api_url (Work attribute) <ul> <li> A OpenAlex URL that allows the user to view the works which cite this work. </li> </ul> article_grants (Work attribute) <ul> <li> A list of details for the grants which the work is in receipt from. This information is gathered from Crossref and is described by OpenAlex at time of publication as "limited". </li> </ul> </li> <li> article_referenced_works_count (Work attribute) <ul> <li> Number of works within OpenAlex that this work cites. Please note that the total number of references in the work may be higher </li> </ul> </li> <li> language (Work attribute) <ul> <li> The ISO 639-1 style Language of the work. This attribute is inferred a software library (<a href="https://pypi.org/project/langdetect/" rel="noopener noreferrer nofollow">langdetect</a>) used by OpenAlex based on the abstract, or title if the abstract is not available. </li> </ul> </li> <li> article_counts_by_year (Work attribute) <ul> <li> A list of the citation count of this work per year, for up to the last 10 years. </li> </ul> </li> <li> article_locations_count (Work attribute) <ul> <li> Number of locations this work can be found. In OpenAlex, "locations" refer to the places on the internet where versions of this work is accessible. </li> </ul> </li> <li> author_id (Author attribute) <ul> <li> OpenAlex identifier for an author of the work. To retrieve OpenAlex's bibliography for this user you may visit <a href="https://openalex.org/authors/<author_id>" rel="noopener noreferrer nofollow">https://openalex.org/authors/<author_id></a>. The following author attributes are associated with the author identifier in each row, please note that a work with multiple authors may have multiple rows, one for each author in OpenAlex. </li> </ul> </li> <li> orcid (Author attribute) <ul> <li> ORCID identifier for the author. </li> </ul> </li> <li> author_name (Author attribute) <ul> <li> Name of the author. </li> </ul> </li> <li> author_name_alternatives (Author attribute) <ul> <li> Alternative formats for the author's name which OpenAlex has observed. </li> </ul> </li> <li> author_works_count (Author attribute) <ul> <li> Number of works the author has created. </li> </ul> </li> <li> author_cited_by_count (Author attribute) <ul> <li> Number of works which cite a work the author has created. </li> </ul> </li> <li> author_last_known_institution (Author attribute) <ul> <li> Identifier for the institution with which the author is affiliated with, in the most recent publication from the author containing an institutional identifier. Please note this may differ from the institution associated with the author at time of the work's release, which is listed in this database as "institution_id". </li> </ul> </li> <li> author_summary_stats (Author attribute) <ul> <li> OpenAlex's citation metrics for the author. These include citation count, i10-index, h-index and more. </li> </ul> </li> <li> institution_id (Institution attribute) <ul> <li> OpenAlex identifier for the institution associated with the author when the work was published. </li> </ul> </li> <li> ror (Institution attribute) <ul> <li> Research Organization Registry (ROR) identifier for the institution. </li> </ul> </li> <li> institution_name (Institution attribute) <ul> <li> Name of the institution. </li> </ul> </li> <li> institution_country_code (Institution attribute) <ul> <li> ISO 3166-1 Alpha-2 (two-letter) country code for the country in which the institution is located. </li> </ul> </li> <li> insitution_type (Institution attribute) <ul> <li> ROR-style primary type for the institution. </li> </ul> </li> <li> institution_homepage_url (Institution attribute) <ul> <li> A URL for the institution's primary homepage </li> </ul> </li> <li> institution_display_name_acroynyms (Institution attribute) <ul> <li> Known acronyms or initialisms for the institution. </li> </ul> </li> <li> institution_display_name_alternatives (Institution attribute) <ul> <li> Alternative names for the institution. </li> </ul> </li> <li> institution_works_count (Institution attribute) <ul> <li> The number of works created by authors affiliated with this institution. </li> </ul> </li> <li> institution_cited_by_count (Institution attribute) <ul> <li> The number of works that cite a work created by authors affiliated by the institution. </li> </ul> </li> </ul> <ul> <li> institution_summary_stats (Institution attribute) <ul> <li> Citation metrics for the institution Similar to author_summary_stats. </li> </ul> </li> </ul> <h1>Information</h1> <h2>Contact Information</h2> Nina Smirnova - <a href="mailto:nina.smirnova@gesis.org" rel="noopener noreferrer nofollow">nina.smirnova@gesis.org</a> <h2>Publication Information</h2> Released to Zenodo 1st Feb 2024 <h2>Acknowledgements</h2> This work was funded by DAAD–UGC Project-based Personnel Exchange Programme (PPP 2022) via the project “Social Network and Scientometric Analysis in Collaborative Research Publications between India and Germany” (SEASON -- <a href="https://github.com/kalawinka/season/" rel="noopener noreferrer nofollow">https://github.com/kalawinka/season/</a>), grant numbers: DAAD project number: 57608852; UGC project number: 1-10/2020(IC). This work was funded by the Federal Ministry of Education and Research via funding numbers: 16WIK2301B, The OpenBib project. We acknowledge support by the Federal Ministry of Education and Research, Germany under grant number 01PQ17001, the Competence Network for Bibliometrics. Nina Smirnova received funding from the German Research Foundation (DFG) via the project "POLLUX" under grant number MA 3964/7-2.

opencc-by-4.0Mar 2024View details →

Collection of German Stock Exchange Rules

The STOCK EXCHANGE RULES collection contains rules and regulations from German securities exchanges starting in 1879, but with no claim to completeness. It builds on an initial collection by Andreas Fleckner (Humboldt-Universität zu Berlin) who kindly agreed to contribute it. The authors approached exchanges as well as some of the exchange supervisory authorities (‘Börsenaufsichtsbehörden’) and economic archives (‘Wirtschaftsarchive’) in the German states (‘Länder’). In some instances, the respective institutions were visited and documents were collected on site. Other rules and regulations were obtained from the law journal ‘Wertpapier-Mitteilungen’ by sifting through the tables of contents of the yearly volumes from 1985 to 2000 and from websites, notably the Internet Archive’s Wayback Machine.

Figure 1 in Vegetation of the supralittoral and upper sublittoral zones of the Western German Baltic Sea coast: a phytosociological study

Figure 1: Map of sampling sites in Northern Germany. Insets (a–c) provide higher resolution. Sampling areas: 1 – Glücksburg; 2 – Glücksburg Estuary; 3 – Bockholmwik; 4 – Neukirchen; 5 – Norgaardholz; 6 – Falshoft; 7 – Maasholm, Schlei; 8 – SchÖnhagen; 9 – Fischleger; 10 – Karlsminde; 11 – EckernfÖrde, port; 12 – EckernfÖrde, Kiekut; 13 – Aschau, sea; 14 – Aschau, lagoon; 15 – Kiel-Bülk; 16 – Kiel-Schilksee, marina; 17 – Kiel-Friedrichsort; 18 – Kiel-Holtenau, Tonnenhof; 19 – Kiel-Düsternbrook; 20 – Kiel-MÖnkeberg; 21 – Kiel-Heikendorf, Hafen; 22 – Kiel-Laboe; 23 – Kiel-Marina Wendtorf; 24 – Kiel-Brasilien; 25 – Hohwacht; 26 – Weissenhäuser Strand; 27 – Heiligenhafen, sea; 28 – Heiligenhafen, Binnensee; 29 – Heiligenhafen, marina; 30 – Grossenbroderfahre; 31 – Strukkamphuk, Fehmarn; 32 – Westerberg, Fehmarn; 33 – Flügge, Orther Bucht, Fehmarn; 34 – Gruner Brink, Fehmarn; 35 – Burgtiefe, Fehmarn; 36 – Burger Binnensee, Fehmarn; 37 – Wulfen, Fehmarn; 38 – Marina Grossenbrode; 39 – Süssau; 40 – Kellenhusen; 41 – Neustadt, Binnenwasser; 42 – Brodtener Ufer; 43 – Rosenhagen; 44 – Steinbeck; 45 – Boltenhagen; 46 – Wohlenberg; 47 – Hohen-Wieschendorf; 48 – Zierow; 49 – Redentin; 50 – Bridge to Poel, S side; 51 – Bridge to Poel, N side; 52 – Kirchdorf; 53 – Timmendorf, Poel; 54 – Gollwitz, Poel.

Figure 4 in Vegetation of the supralittoral and upper sublittoral zones of the Western German Baltic Sea coast: a phytosociological study

Figure 4: Number of species from different phytogeographical elements in each macrophyte community of the SW Baltic Sea. Phytogeographical elements are indicated in accordance with Cormaci et al. (1982), supplemented by data from Zinova (1962) and Kalugina-Gutnik (1975): C – Cosmopolitan, SC – Sub-cosmopolitan, AP – Atlanto-Pacific, IP – Indo-Pacific, CB – Circumboreal, IA – Indo-Atlantic, Abt – Boreo-tropical Atlantic, CT – Circumtropical, Ab – Boreo-Atlantic, Aba – Boreo-Arctic Atlantic, Pb – Boreo-Pacific.

Figure 3 in Vegetation of the supralittoral and upper sublittoral zones of the Western German Baltic Sea coast: a phytosociological study

Figure 3: Distribution of the macrophyte communities of the SW Baltic Sea in habitats with different exposure. The y-axis shows the proportion of habitats with different exposure grades in which the different communities were found.

Figure 2 in Vegetation of the supralittoral and upper sublittoral zones of the Western German Baltic Sea coast: a phytosociological study

Figure 2: Maximum likelihood phylogram based on tufA sequence data, showing the phylogenetic relationships of 12 Ulvales samples from the Baltic Sea (bold) identified in this study. Numbers after species names indicate collection sites (see Figure 1). Numbers below branches are bootstrap values; poorly supported nodes (>0.70) are not labelled. Branch lengths are proportional to sequence divergence.

Figure 5 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts

Figure 5: Different views of macroalgal blooms on German Baltic Sea coasts. (A) Beach wrack dominated by Ceramium virgatum, Hohwacht, 16.8.2012 (Photo © F. Weinberger). (B) Mat of Pylaiella littoralis covering a meadow of eelgrass, Mönckeberg, 15.5.2013 (Photo © C. Lieberum). (C) Beach wrack dominated by Cladophora sp., Stein, 12.4.2014 (Photo © M. Hammann). (D) Beach wrack composed of various red algae and eelgrass, Neukirchen, 30.4.2012 (Photo © F. Weinberger).

Figure 4 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts

Figure 4: Interannual variation (2006–2017) of the share of Furcellaria lumbricalis and Coccotylus truncatus in the loose-lying red algal community biomass (BM) in the Kassari Bay, West Estonian Archipelago Sea. Compiled results of annual monitorings 2006–2017; database of the Estonian Marine Institute.

Figure 1 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts

Figure 1: Types of coastlines, annual average sea surface salinities, and species numbers of algal macrophytes that have been recorded in different sea areas of the Baltic Sea and the German and Danish North Sea. Modified from Rönnbäck et al. (2007); species numbers are from HELCOM (2012) for the Baltic Sea and from Schories et al. (2009a,b) for the North Sea.

Figure 2 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts

Figure 2: Loose-lying Furcellaria lumbricalis-Coccotylus truncatus community in the Kassari Bay, West Estonian Archipelago Sea (Photo: K. Kaljurand).

Figure 3 in Seaweed resources of the Baltic Sea, Kattegat and German and Danish North Sea coasts

Figure 3: Interannual variation (1980–2017) of the total community biomass (BM), the total Furcellaria lumbricalis biomass and the area of the loose-lying red algal community in the Kassari Bay, West Estonian Archipelago Sea. Data after Martin et al. (2006a), updated with data of the Estonian Marine Institute on annual monitorings 2003–2017.

opencc-by-sa-4.0Aug 2024View details →

Wikipedia: wikipedia-de (German)

Wikipedia is a multilingual, web-based, free-content encyclopedia project supported by the Wikimedia Foundation and based on a model of openly editable content. EOL harvests articles from wikipedia that are indexed as species or higher taxa.

opencc-by-4.0Aug 2024View details →

Caravan-DE: Caravan extension Germany - German dataset for large-sample hydrology

Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world:<a href="../record/6578598" target="_blank" rel="noopener"> https://zenodo.org/record/6578598</a>. We have employed the published code to derive meteorological forcing data and catchment attributes from global data sources to extend Caravan with data for 1887 catchments in Germany. The time series data are in daily resolution and span up to 70 years, from January 1951 to December 2020. Most of the catchments in Caravan-DE are also part of the CAMELS-DE dataset (<a href="https://doi.org/10.5281/zenodo.13837553" target="_blank" rel="noopener">10.5281/zenodo.13837553</a>, 1582 catchments). As CAMELS-DE relies on meteorological forcing data that is only available within the borders of Germany, catchments going beyond the German national borders had to be discarded. Caravan uses global data products for the meteorological forcing data and catchment attributes, which is why Caravan-DE includes these catchments that are partly located outside of Germany. As catchments in Caravan-DE and CAMELS-DE are identified by the same ID, the datasets can be used together. Please refer to the CAMELS-DE paper (<a href="https://doi.org/10.5194/essd-2024-318">https://doi.org/10.5194/essd-2024-318</a>) for information about discharge data and the catchment geometries used for both Caravan-DE and CAMELS-DE. For the processing of the data the following guide was followed step by step: <a href="https://github.com/kratzert/Caravan/wiki/Extending-Caravan-with-new-basins">https://github.com/kratzert/Caravan/wiki/Extending-Caravan-with-new-basins</a> <h3> </h3> <h3>Disclaimer for discharge and water level data provided by the German federal state agencies:</h3> english: The state agencies do not guarantee the accuracy or completeness of the discharge or water level data provided. In addition, all hydrological data may be subject to future revisions, including adjustments to the rating curves or corrections of errors. Therefore, it is necessary to obtain the most recent discharge time series directly from the federal state authorities for projects that require water law permits. Additionally, the regulations of the respective federal state apply and specific enquiries should be made as needed. It is also important to note that the state agencies explicitly disclaim any warranty as to the accuracy or completeness of the data and therefore any liability claims against any of the federal states are also excluded. german: Die Ländesämter gewährleisten nicht die Genauigkeit oder Vollständigkeit der bereitgestellten Abfluss oder Wasserstandsdaten. Zudem können alle hydrologischen Daten zukünftigen Überarbeitungen unterliegen, einschließlich Anpassungen der Wasserstands-Abflussbeziehung oder der Korrektur von Fehlern. Daher ist es notwendig, die aktuellsten Abflusszeitreihen direkt bei den Landesbehörden zu beziehen, falls Wasserrechtsgenehmigungen erforderlich sind. Zusätzlich gelten die Vorschriften des jeweiligen Bundeslandes, und spezifische Anfragen sollten bei Bedarf gestellt werden. Es ist ebenfalls wichtig zu beachten, dass die staatlichen Behörden ausdrücklich jegliche Gewährleistung hinsichtlich der Genauigkeit oder Vollständigkeit der Daten ausschließen und somit auch jegliche Haftungsansprüche gegenüber einem der Bundesländer ausgeschlossen sind.   <h3>Changelog</h3> <ul> <li>v1.0.1 <ul> <li>Small changes to be consistent with other Caravan extensions (see <a href="https://github.com/kratzert/Caravan/issues/35" target="_blank" rel="noopener">https://github.com/kratzert/Caravan/issues/35</a>): <ul> <li>camelsde_basin_shapes.shp: removed column gauge_name</li> <li> <div>attributes_other_camelsde.csv: added river name to gauge_name column</div> </li> </ul> </li> </ul> </li> <li>v1.1.0 <ul> <li>Added FAO Penman-Monteith PET (potential_evaporation_sum_FAO_PENMAN_MONTEITH) and renamed the ERA5-LAND potential_evaporation band to potential_evaporation_sum_ERA5_LAND. Also added all PET-related climate indices derived with the Penman-Monteith PET band (suffix "_FAO_PM") and renamed the old PET-related indices accordingly (suffix "_ERA5_LAND"). This was conducted to be consistent with <a href="https://doi.org/10.5281/zenodo.14673536" target="_blank" rel="noopener">Caravan version 1.5</a>.</li> </ul> </li> <li>v1.1.1 <ul> <li>By mistake, the new variables for v1.1.0 were missing in the climatic indices, these have now been added.</li> </ul> </li> </ul>