cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1307573.09fu
title: SH1307573.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1307574.09fu
title: SH1307574.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1307575.09fu
title: SH1307575.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1307576.09fu
title: SH1307576.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1307577.09fu
title: SH1307577.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1307578.09fu
title: SH1307578.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15472/hyndg0
title: Lista de chequeo de especies de fauna terrestre de la cuenca del río Claro, Antioquia

description: La Fundación Grupo Argos y el Instituto de Investigación de Recursos Biológicos Alexander von Humboldt celebraron los convenios 19-100 y 20-065, a través de los cuales se aunaron esfuerzos administrativos, técnicos, financieros y de gestión para la generación de conocimiento útil sobre la biodiversidad de la cuenca del río Claro (Antioquia). Buscando identificar el estado del conocimiento y estatus de las especies silvestres y exóticas que se han reportado en la cuenca según fuentes secundarias disponibles, así como para priorizar acciones de investigación y monitoreo, se consolidó y curó, con la colaboración de expertos en diferentes grupos taxonómicos, la lista de chequeo de especies de fauna terrestre para esta región del departamento de Antioquia. El resultado de revisión y curaduría de datos, permitió obtener un reporte de 839 especies de fauna terrestre en la cuenca del río Claro. Esta lista de chequeo incluye un total de 80 especies en los grupos Insecta y Gastropoda, 61 especies del grupo Mammalia, 45 especies del grupo Amphibia, 50 especies del grupo Reptilia y 603 especies del grupo Aves.
DOI: 10.15468/95xqds
title: Lista de chequeo de especies de fauna terrestre de la cuenca del río Claro, Antioquia

description: La Fundación Grupo Argos y el Instituto de Investigación de Recursos Biológicos Alexander von Humboldt celebraron los convenios 19-100 y 20-065, a través de los cuales se aunaron esfuerzos administrativos, técnicos, financieros y de gestión para la generación de conocimiento útil sobre la biodiversidad de la cuenca del río Claro (Antioquia). Buscando identificar el estado del conocimiento y estatus de las especies silvestres y exóticas que se han reportado en la cuenca según fuentes secundarias disponibles, así como para priorizar acciones de investigación y monitoreo, se consolidó y curó, con la colaboración de expertos en diferentes grupos taxonómicos, la lista de chequeo de especies de fauna terrestre para esta región del departamento de Antioquia. El resultado de revisión y curaduría de datos, permitió obtener un reporte de 839 especies de fauna terrestre en la cuenca del río Claro. Esta lista de chequeo incluye un total de 80 especies en los grupos Insecta y Gastropoda, 61 especies del grupo Mammalia, 45 especies del grupo Amphibia, 50 especies del grupo Reptilia y 603 especies del grupo Aves.
DOI: 10.5281/zenodo.4455543
title: Data From: Powerful detection of polygenic selection and environmental adaptation in US beef cattle

description: GEMMA output containing summary statistics for generation proxy selection mapping (GPSM) and environmental GWAS (envGWAS) selection analyses from <br> Rowan et al. "Powerful detection of polygenic selection and environmental adaptation in US beef cattle" 2021<br> https://doi.org/10.1101/2020.03.11.988121 File names identify the analysis run, for example<br> "Gelbvieh_envgwas_desert_summary_stats.txt.gz"<br> Is the Gelbvieh dataset analyzed using the Desert ecoregion as the dependent variable <br> in a univariate envGWAS model. Files are formated according to GEMMA output.
description: This project was supported by Agriculture and Food Research Initiative Competitive Grant no. 2016-68004-24827 from the USDA National Institute of Food and Agriculture awarded to JED. https://reeis.usda.gov/web/crisprojectpages/1008909-identifyinglocal-adaptation-and-creating-region-specific-genomic-predictions-in-beef-cattle.html Funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The raw data underlying the results presented in the study are available from the Red Angus Association of America (https://redangus.org/contact-us/, Ryan Boldt, Director of Breed Improvement, ryan@redangus.org, (940) 387-3502 ext. 12), American Simmental Association (https://simmental.org/site/index.php/contact#asadirectors, Jackie Atkins, Director Science and Education Operations, jatkins@simmgene.com, (406)587-4531), and American Gelbvieh Association (https://gelbvieh.org/about/contact, Megan Slater, Executive Director, megans@gelbvieh.org, (303)465-2333, Ext 485) under a Data Use Agreement, but are not publicly available. Derived data (analytical results) are however available as supplementary files associated with this publication.
DOI: 10.5281/zenodo.4455542
title: Data From: Powerful detection of polygenic selection and environmental adaptation in US beef cattle

description: GEMMA output containing summary statistics for generation proxy selection mapping (GPSM) and environmental GWAS (envGWAS) selection analyses from <br> Rowan et al. "Powerful detection of polygenic selection and environmental adaptation in US beef cattle" 2021<br> https://doi.org/10.1101/2020.03.11.988121 File names identify the analysis run, for example<br> "Gelbvieh_envgwas_desert_summary_stats.txt.gz"<br> Is the Gelbvieh dataset analyzed using the Desert ecoregion as the dependent variable <br> in a univariate envGWAS model. Files are formated according to GEMMA output.
description: This project was supported by Agriculture and Food Research Initiative Competitive Grant no. 2016-68004-24827 from the USDA National Institute of Food and Agriculture awarded to JED. https://reeis.usda.gov/web/crisprojectpages/1008909-identifyinglocal-adaptation-and-creating-region-specific-genomic-predictions-in-beef-cattle.html Funders did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The raw data underlying the results presented in the study are available from the Red Angus Association of America (https://redangus.org/contact-us/, Ryan Boldt, Director of Breed Improvement, ryan@redangus.org, (940) 387-3502 ext. 12), American Simmental Association (https://simmental.org/site/index.php/contact#asadirectors, Jackie Atkins, Director Science and Education Operations, jatkins@simmgene.com, (406)587-4531), and American Gelbvieh Association (https://gelbvieh.org/about/contact, Megan Slater, Executive Director, megans@gelbvieh.org, (303)465-2333, Ext 485) under a Data Use Agreement, but are not publicly available. Derived data (analytical results) are however available as supplementary files associated with this publication.
DOI: 10.1285/i20398573v6n1
title: 'Defending Memory': Exploring the Relationship Between Mnemonical In/Security and Crisis in Global Politics
DOI: 10.1285/i20398573v6n1p1
title: Cover
DOI: 10.1285/i20398573v6n1p3
title: Index
DOI: 10.1285/i20398573v6n1p5
title: 'Defending Memory': Exploring the Relationship Between Mnemonical In/Security and Crisis in Global Politics

description: This article outlines the theoretical foundations and the themes covered by this special issue. By focusing on securitization of historical memory, our goal is to contribute to Critical Security studies by highlighting the potential of securitization of memory as an emerging research program in this field. A state's history and how it is presented, interpreted, altered, and contested form an essential element of its identity. In securitized contexts, historical memory becomes a security issue when both state and non-state actors engage in "defending memory"—a situation when "our" past is viewed as misunderstood by "Others", and it becomes critical to defend "our" memory, which is seen as essential for the survival of "our" state. Employing the notion of "defending memory" enriches the study of crises in international relations, allowing us to conceptualize them as engines of new discourses. These theoretical insights are tested by case studies of memory politics in Germany, Azerbaijan, Armenia, Georgia, Ethiopia and Rwanda, highlighting the importance of emotional discourses and (re)burial practices.
DOI: 10.1285/i20398573v6n1p21
title: Mnemonic Insecurity: The German Struggle with New Trends of Radicalization

description: The so-called refugee crisis of the last years has presented Germany with a massive inflow of refugees and migrants. The scale has disrupted Germany's self-narrative as open and tolerant state that has learned from its Nazi past. With local and national institutions not being prepared logistically, with media images portraying a nearly 'overrun' country, and with a significant upsurge in anti-migrant sentiments, a state of mnemonic insecurity has developed in Germany. Far-right political movements gathered strength and voter support, and right-wing extremist violence increased. On the other side, many people actively engaged in a 'welcome culture'. The contribution traces key developments in Germany's approach to the refugee crisis in the context of radicalization trends. It illustrates the dislocation of Germany's identity and self-narrative in an emotionalized discourse, and the following acts to defend memory. It closes with current attempts at memory's re-politicization to something larger than before.
DOI: 10.1285/i20398573v6n1p51
title: Trauma or Nostalgia? 'The Past' as Affective Ontological Security Seeking Playground in the South Caucasus

description: Crises could be understood as dislocations of hegemonic identity narratives. One strategy of seeking ontological security, as re-ordering process to calm and sooth these displacements, is 'defending memory'. But how does 'defending memory' play out? This article argues that to understand those mnemonic processes, one also has to look at the affective investments into these identity narratives informing processes of politicisation and securitisation. The article proposes to look at those processes through the lens of affective geopolitics to shed light onto those in the South Caucasus. In so doing, it explores the affective reproduction of memory and shows how investing, subscribing, questioning or rejecting identity-positionalities is a patch-work process of discursive emotion norm contestations. What emerges is a mosaic of emotion cultures drifting apart (between the South Caucasus countries) and away (internationally) linked to how 'the past' is re-felt either in agony or in gloriousness within presidential discourses.
DOI: 10.1285/i20398573v6n1p113
title: Burial, Reburial, and the Securing of Memory

description: Drawing on the purported relationship between trauma and the desire to generate collective identity, this paper uses the framing of ontological security to examine burial as a mechanism of memorialization. I argue that states often turn to dead body management as a means of securing themselves and their identities. Burial and reburial can function as a mechanism of governance by states seeking ontological security. What happens to the dead is often politically contested. Because of this, states seek to intervene in contested spaces to solidify their identities through the mechanism of dead body management. I consider burial as a mechanism of state identity construction. Because graves, particularly mass graves, are sites where questions of human dignity are explored, they are also productive sites of examination of the logic of memorialization governing political violence. As a result, I seek to examine the processes by which gravesites and burial and reburial become mechanisms of the state performing ontological security.
DOI: 10.1285/i20398573v6n1p139
title: Transitional Justice And Memory Politics In Contemporary Ethiopia

description: Ethiopia's successive regimes have encountered challenges of implementing transitional justice mechanisms in post transitional periods. Tracing implementation of transitional justice mechanisms, how such attempts shaped memory politics and by reviewing the country's contemporary history, the article shows that justice has mostly transpired in the form of punishing a political ideology than holding individuals accountable. The recording of history and understanding of the past events and memories also lack consensus. Moreover, entrenched ethnic politics has also made implementation of justice mechanisms and addressing issues of memory politics extremely challenging. Taking these into account, the article concludes that institutional ineffectiveness and entrenched ethnic politics have affected transitional justice processes and issues of memory politics in Ethiopia's context.
DOI: 10.1285/i20398573v6n1p167
title: Drone Warfare and the Obama Administration's Path-Dependent Struggles on Human Rights and Counterterrorism

description: Why did the use of drone strikes proliferate during the first term of the Obama administration? This paper espouses two key preliminary and exploratory arguments. First, deploying theoretical insights from historical institutionalism, we argue that the Obama administration, despite its initial resistance to the existing counterterror agenda, found it extremely difficult to reverse the war on terror narrative and the institutions that emerged therefrom in US domestic and foreign politics. This continuation provided strong incentives to maintain militaristic approaches to counterterrorism, considering President Obama's inclination to continue the use of military power against terrorists. Second, upon realising the stickiness and institutional endurance of post-9/11 security agencies, Obama's opposition to war on terror-oriented policies motivated the administration to wage a supposedly more morally justifiable and effective counterterror strategy with the use of armed drones.
DOI: 10.1285/i20398573v6n1p203
title: Memory and Securitization in Contemporary Europe, edited by Vlad Strukov and Victor Apryshchenko (eds.). London: Palgrave Macmillan, 2018, pp. 284
DOI: 10.1285/i20398573v6n1p207
title: Memory Laws, Memory Wars: The Politics of the Past in Europe and Russia, by Nikolay Koposov. Cambridge: Cambridge University Press, 2018, pp. xvi+322
DOI: 10.1285/i20398573v6n1p213
title: European Memory in Populism: Representations of Self and Other, by Chiara De Cesari and Ayhan Kaya (eds.). Oxon, New York: Routledge, 2020, pp.xviii+302
DOI: 10.5281/zenodo.4468701
title: Water vapor database for atmospheric correction of Landsat imagery

description: Atmospheric correction is a crucial preprocessing step for the analysis of optical satellite imagery like Landsat. Among the radiance-modifying gases, atmospheric water vapor is spatially and temporally variable, and cannot be measured reliably from the Landsat sensors. As such, atmospheric correction of Landsat data requires spatially and temporally explicit auxiliary information about atmospheric water vapor content. We have compiled a water vapor dataset that can be readily used to perform atmospheric correction of Landsat images. The dataset was generated by a global processing of the MODIS MOD05/MYD05 collection 6.1 products (https://doi.org/10.1029/2002JD003023; MODIS Atmosphere L2 Water Vapor Product. NASA MODIS Adaptive Processing System, Goddard Space Flight Center, USA: doi:10.5067/MODIS/MOD05_L2.006, doi:10.5067/MODIS/MYD05_L2.006). The dataset is comprised of daily global water vapor data for February 2000 to December 2020 for each land-intersecting Worldwide Reference System 2 (WRS-2) scene, as well as a monthly climatology that can be used if no daily value is available. The dataset was generated by the Framework for Operational Radiometric Correction for Environmental monitoring (FORCE v. 2.0 / 3.6, https://github.com/davidfrantz/force, https://doi.org/10.3390/rs11091124), which is freely available software under the terms of the GNU General Public License v. &gt;= 3. The water vapor dataset can be readily ingested into the FORCE Level 2 Processing System (Frantz et al. 2016, doi:10.1109/TGRS.2016.2530856) to perform atmospheric correction of Landsat imagery. This dataset is an update of https://doi.pangaea.de/10.1594/PANGAEA.893109 and should be used from now on.