cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5506702
title: S1 What Are the Key Drivers Controlling the Qualityof Seasonal Streamflow Forecasts?

description: Recent technological advances in representation of processes in numerical climate models have led to skillful predictions, which can consequently increase the confidence of hydrological predictions and usability of hydroclimatic services. Given that many water-related stakeholders are affected by seasonal hydrological variations, there is a need to manage such variations to their advantage through better understanding of the drivers that influence hydrological predictability. Here we analyze the seasonal forecasts of streamflow volumes across about 35,400 basins in Europe, which lie along a strong gradient in terms of climatology, scale, and hydrological regime. We then link the seasonal volumetric errors to various physiographic-hydroclimatic descriptors and meteorological biases in order to identify the key drivers controlling predictability. Streamflow volumes over Europe are well predicted, yet with some geographic and seasonal variability; however, the predictability deteriorates with increasing lead time particularly in the winter months. Nevertheless, we show that the forecast quality is well correlated to a set of descriptors, which vary depending on the initialization month. The forecast quality of seasonal streamflow volumes is strongly dependent on the basin's hydrological regime, with limited predictability in relatively flashy basins. On the contrary, snow and/or baseflow dominated regions with long recessions show high streamflow predictability. Finally, climatology and precipitation forecast biases are also related to streamflow predictability, highlighting the importance of developing robust bias adjustment methods. Overall, this investigation shows that the seasonal streamflow predictability can be clustered, and hence regionalized, based on a priori knowledge of local hydroclimatic conditions.
DOI: 10.5281/zenodo.5506749
title: Mapping the landscape of climate services

description: Climate services are technology-intensive, science-based and user-tailored tools providing timely climate information to a wide set of users. They accelerate innovation, while contributing to societal adaptation. Research has explored the advancements of climate services in multiple fields, producing a wealth of interdisciplinary knowledge ranging from climatology to the social sciences. The aim of this paper is to map the global landscape of research on climate services and to identify patterns at individual, affiliation and country level and the structural properties of each community. We use a sample of 358 records published between 1974 and 2018 and quantitatively analyze them. We provide insights into the main characteristics of the community of climate services through Bibliometrics and complement these findings with Network Science. We have computed the centrality of each actor as derived from a Principal Component Analysis of 42 different measures. By exploring the structural properties of the networks of individuals, institutions and countries we derive implications on the most central agents. Furthermore, we detect brokers in the network, capable of facilitating the information flow and increasing the cohesion of the community. We finally analyze the abstracts of the sample via Content Analysis. We find a progressive shift towards climate adaptation and user-centric visions. Agriculture and Energy are the top mentioned sectors. Anglophone countries and institutions are quantitatively dominant, and they are also important in connecting different discipline of the network of scholars, by building on established partnerships. Finding that nodes facilitating the diffusion of information flows (<em>the brokers</em>) are not necessarily the most central, but have a high degree of interdisciplinarity facilitating interactions of different communities. <em>Social media abstract</em>. #WhoisWho in #climateservices? A comprehensive map of research in #Europe and beyond
DOI: 10.5281/zenodo.5506701
title: S1 What Are the Key Drivers Controlling the Qualityof Seasonal Streamflow Forecasts?

description: Recent technological advances in representation of processes in numerical climate models have led to skillful predictions, which can consequently increase the confidence of hydrological predictions and usability of hydroclimatic services. Given that many water-related stakeholders are affected by seasonal hydrological variations, there is a need to manage such variations to their advantage through better understanding of the drivers that influence hydrological predictability. Here we analyze the seasonal forecasts of streamflow volumes across about 35,400 basins in Europe, which lie along a strong gradient in terms of climatology, scale, and hydrological regime. We then link the seasonal volumetric errors to various physiographic-hydroclimatic descriptors and meteorological biases in order to identify the key drivers controlling predictability. Streamflow volumes over Europe are well predicted, yet with some geographic and seasonal variability; however, the predictability deteriorates with increasing lead time particularly in the winter months. Nevertheless, we show that the forecast quality is well correlated to a set of descriptors, which vary depending on the initialization month. The forecast quality of seasonal streamflow volumes is strongly dependent on the basin's hydrological regime, with limited predictability in relatively flashy basins. On the contrary, snow and/or baseflow dominated regions with long recessions show high streamflow predictability. Finally, climatology and precipitation forecast biases are also related to streamflow predictability, highlighting the importance of developing robust bias adjustment methods. Overall, this investigation shows that the seasonal streamflow predictability can be clustered, and hence regionalized, based on a priori knowledge of local hydroclimatic conditions.
DOI: 10.5281/zenodo.5506664
title: Comparing adaptive capacity index across scales: The case of Italy

description: Measuring adaptive capacity as a key component of vulnerability assessments has become one of the mostchallenging topics in the climate change adaptation context. Numerous approaches, methodologies and con-ceptualizations have been proposed for analyzing adaptive capacity at different scales. Indicator-based assess-ments are usually applied to assess and quantify the adaptive capacity for the use of policy makers. Nevertheless,they encompass various implications regarding scale specificity and the robustness issues embedded in thechoice of indicators selection, normalization and aggregation methods. We describe an adaptive capacity indexdeveloped for Italy's regional and sub-regional administrative levels, as a part of the National Climate ChangeAdaptation Plan, and that is further elaborated in this article. The index is built around four dimensions and tenindicators, analysed and processed by means of a principal component analysis and fuzzy logic techniques. As aninnovative feature of our analysis, the sub-regional variability of the index feeds back into the regional levelassessment. The results show that composite indices estimated at higher administrative or statistical levels ne-glect the inherent variability of performance at lower levels which may lead to suboptimal adaptation policies.By considering the intra-regional variability, different patterns of adaptive capacity can be observed at regionallevel as a result of the aggregation choices. Trade-offs should be made explicit for choosing aggregators thatreflect the intended degree of compensation. Multiple scale assessments using a range of aggregators with dif-ferent compensability are preferable. Our results show that within-region variability can be better demonstratedby bottom-up aggregation methods.
DOI: 10.5281/zenodo.5506663
title: Comparing adaptive capacity index across scales: The case of Italy

description: Measuring adaptive capacity as a key component of vulnerability assessments has become one of the mostchallenging topics in the climate change adaptation context. Numerous approaches, methodologies and con-ceptualizations have been proposed for analyzing adaptive capacity at different scales. Indicator-based assess-ments are usually applied to assess and quantify the adaptive capacity for the use of policy makers. Nevertheless,they encompass various implications regarding scale specificity and the robustness issues embedded in thechoice of indicators selection, normalization and aggregation methods. We describe an adaptive capacity indexdeveloped for Italy's regional and sub-regional administrative levels, as a part of the National Climate ChangeAdaptation Plan, and that is further elaborated in this article. The index is built around four dimensions and tenindicators, analysed and processed by means of a principal component analysis and fuzzy logic techniques. As aninnovative feature of our analysis, the sub-regional variability of the index feeds back into the regional levelassessment. The results show that composite indices estimated at higher administrative or statistical levels ne-glect the inherent variability of performance at lower levels which may lead to suboptimal adaptation policies.By considering the intra-regional variability, different patterns of adaptive capacity can be observed at regionallevel as a result of the aggregation choices. Trade-offs should be made explicit for choosing aggregators thatreflect the intended degree of compensation. Multiple scale assessments using a range of aggregators with dif-ferent compensability are preferable. Our results show that within-region variability can be better demonstratedby bottom-up aggregation methods.
DOI: 10.5281/zenodo.5507186
title: Preassembly of Saurida nebulosa (USNM 442473)

description: Preassembly of Saurida nebulosa (USNM 442473) based on SRA data (SRR14433894), derived using SPAdes 3.15.2. All contigs less than 200 bp removed.
DOI: 10.5281/zenodo.5507185
title: Preassembly of Saurida nebulosa (USNM 442473)

description: Preassembly of Saurida nebulosa (USNM 442473) based on SRA data (SRR14433894), derived using SPAdes 3.15.2. All contigs less than 200 bp removed.
DOI: 10.5281/zenodo.5507201
title: Preassembly of Neoniphon sammara (USNM 442483)

description: Preassembly of Neoniphon sammara (USNM 442483) based on SRA data (SRR14433902), derived using SPAdes 3.15.2. All contigs less than 200 bp removed.
DOI: 10.5281/zenodo.5507200
title: Preassembly of Neoniphon sammara (USNM 442483)

description: Preassembly of Neoniphon sammara (USNM 442483) based on SRA data (SRR14433902), derived using SPAdes 3.15.2. All contigs less than 200 bp removed.
DOI: 10.15468/ukavt3
title: Taxonomic position of the genus Sassanidotus Farzanpay, 1987 (Scorpiones: Buthidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kovařík, František, Fet, Victor (2006): Taxonomic position of the genus Sassanidotus Farzanpay, 1987 (Scorpiones: Buthidae). Euscorpius 39 (38): 1-9, DOI: 10.18590/euscorpius.2006.vol2006.iss38.1, URL: https://mds.marshall.edu/euscorpius/vol2006/iss38/1/
DOI: 10.25402/epi.16616221
title: epi-2021-0168 Suppl. Table 2

description: <b>Table S2.</b> <b>Allelic expression ratios of imprinted genes in the EPC samples.</b>
DOI: 10.6084/m9.figshare.16617154
title: PRET1608S21F02_megahit_final.fna.gz

description: PRET1608S21F02_megahit_final.fna.gz
DOI: 10.25402/epi.16616236.v1
title: epi-2021-0168 Suppl. Table 4

description: <b>Table S4. Loss of noncanonical imprinting in different genetically modified mouse models</b>
DOI: 10.25402/epi.16616236
title: epi-2021-0168 Suppl. Table 4

description: <b>Table S4. Loss of noncanonical imprinting in different genetically modified mouse models</b>
DOI: 10.6084/m9.figshare.16617154.v1
title: PRET1608S21F02_megahit_final.fna.gz

description: PRET1608S21F02_megahit_final.fna.gz
DOI: 10.25402/epi.16616221.v1
title: epi-2021-0168 Suppl. Table 2

description: <b>Table S2.</b> <b>Allelic expression ratios of imprinted genes in the EPC samples.</b>
DOI: 10.5281/zenodo.5198756
title: Dataset for Examining the Antimicrobial Efficacy of Granulated Tetraacetylethylenediamine (TAED) Derived Peracetic Acid and Commercial Peracetic Acid in Urban Wastewaters

description: The dataset used to generate figures in the manuscript, <em>Examining the Antimicrobial Efficacy of Granulated Tetraacetylethylenediamine (TAED) Derived Peracetic Acid and Commercial Peracetic Acid in Urban Wastewaters,</em><strong> </strong>submitted to Water Environment Research for publication.
DOI: 10.5281/zenodo.5198755
title: Dataset for Examining the Antimicrobial Efficacy of Granulated Tetraacetylethylenediamine (TAED) Derived Peracetic Acid and Commercial Peracetic Acid in Urban Wastewaters

description: The dataset used to generate figures in the manuscript, <em>Examining the Antimicrobial Efficacy of Granulated Tetraacetylethylenediamine (TAED) Derived Peracetic Acid and Commercial Peracetic Acid in Urban Wastewaters,</em><strong> </strong>submitted to Water Environment Research for publication.
DOI: 10.5281/zenodo.5494990
title: SEEG, MRI, CT for BrainQuake analysis

description: SEEG data, MRI T1 image, and CT image for the results in "BrainQuake: an open-source Python toolbox for Stereo-EEG analysis". Intracranial stereo-electroencephalography (SEEG) is broadly used in pre-surgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high spatial resolution within suspected epileptogenic zones. Neurosurgeons or technicians should face the challenge of conducting a workflow of post-processing operations with multi-modal data (e.g. MRI, CT, EEG) after implantation surgery. BrainQuake, an open-source Python software, integrates modules and pipelines in surface reconstruction, electrode localization, ictal and inter-ictal SEEG analysis, and final visualizations, each of which is highly automated with a user-friendly graphical user interface (GUI).
DOI: 10.5281/zenodo.5494989
title: SEEG, MRI, CT for BrainQuake analysis

description: SEEG data, MRI T1 image, and CT image for the results in "BrainQuake: an open-source Python toolbox for Stereo-EEG analysis". Intracranial stereo-electroencephalography (SEEG) is broadly used in pre-surgical evaluation of intractable epilepsy, due to its high temporal resolution in neural activity recording and high spatial resolution within suspected epileptogenic zones. Neurosurgeons or technicians should face the challenge of conducting a workflow of post-processing operations with multi-modal data (e.g. MRI, CT, EEG) after implantation surgery. BrainQuake, an open-source Python software, integrates modules and pipelines in surface reconstruction, electrode localization, ictal and inter-ictal SEEG analysis, and final visualizations, each of which is highly automated with a user-friendly graphical user interface (GUI).
DOI: 10.6084/m9.figshare.16617193
title: Data2.csv

description: None
DOI: 10.6084/m9.figshare.16617193.v1
title: Data2.csv

description: None
DOI: 10.15468/vtzjaz
title: On the poorly known genus Mesotityus González- Sponga, 1981 (Scorpiones: Buthidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article de Armas, Luis F., Rojas-Runjaic, Fernando J. M. (2006): On the poorly known genus Mesotityus González- Sponga, 1981 (Scorpiones: Buthidae). Euscorpius 47 (47): 1-9, DOI: 10.18590/euscorpius.2006.vol2006.iss47.1, URL: https://mds.marshall.edu/euscorpius/vol2006/iss47/1/
DOI: 10.6084/m9.figshare.12986069
title: USA covid-19 data

description: This dataset provides information related to the outbreak of COVID-19 disease in the United States
DOI: 10.6084/m9.figshare.16616842.v1
title: PRET1608S09F00_idba-ud_final.fna.gz

description: PRET1608S09F00_idba-ud_final.fna.gz
DOI: 10.6084/m9.figshare.16616842
title: PRET1608S09F00_idba-ud_final.fna.gz

description: PRET1608S09F00_idba-ud_final.fna.gz
DOI: 10.6084/m9.figshare.16616842.v3
title: PRET1608S09F00_idba-ud_final.fna.gz

description: PRET1608S09F00_idba-ud_final.fna.gz
DOI: 10.6084/m9.figshare.16616842.v2
title: PRET1608S09F00_idba-ud_final.fna.gz

description: PRET1608S09F00_idba-ud_final.fna.gz
DOI: 10.6084/m9.figshare.16617421
title: PRET1608S09F00_idba-ud_final.fna.gz

description: PRET1608S09F00_idba-ud_final.fna.gz<br>
DOI: 10.6084/m9.figshare.16617421.v1
title: PRET1608S09F00_idba-ud_final.fna.gz

description: PRET1608S09F00_idba-ud_final.fna.gz<br>
DOI: 10.5066/p9xw4rju
title: Evaporation at LZ40 Platform, Lake Okeechobee, Palm Beach County, Florida, January 1, 2020 - December 31, 2020

description: Daily measurements of evaporation using the Bowen ratio method were made at USGS station name LZ40 (USGS site number 265405080472100), a platform-based station constructed by the South Florida Water Management District (SFWMD) at the approximate center of Lake Okeechobee, Florida. Meteorological and environmental variables were measured every 30 seconds and averaged at 15-minute resolution, including: air temperature, relative humidity, wind speed, and incoming/outgoing short and longwave radiation.
DOI: 10.15468/257mat
title: Two new species of the genus Compsobuthus Vachon, 1949 from Afghanistan and Pakistan (Scorpiones: Buthidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kovařík, František, Ahmed, Zubair (2007): Two new species of the genus Compsobuthus Vachon, 1949 from Afghanistan and Pakistan (Scorpiones: Buthidae). Euscorpius 53 (53): 1-6, DOI: 10.18590/euscorpius.2007.vol2007.iss53.1, URL: https://mds.marshall.edu/euscorpius/vol2007/iss53/1/
DOI: 10.5285/07727663-9b94-4069-a486-67e4d82177d3
title: Coastal change data for the Antarctic Peninsula region, 1843 to 2008

description: The dataset records ice coast and ice shelf front positions and hence change for the period 1843 to 2008. Archival maps, aerial photographs and satellite images of the Antarctic Peninsula were used to reveal the past shape of the ice coastline. The coastlines were mapped in a GIS (ESRI Arc/Info) using a mosaic of Landsat TM imagery as a common reference. Over 2000 aerial photographs and over 100 satellite images were used to compile the dataset that includes the fronts of 244 glaciers and 20 ice shelves on the Antarctic Peninsula. As the coastlines were digitised on-screen, metadata for each coast segment were added to the attribute table. The dataset is part of a wider project by the U.S. Geological Survey to record coastal-change for the whole continent.
description: The coastlines from different sources and different epochs were digitised onto a common reference: a mosaic of Landsat Thematic Mapper satellite images with 30 m resolution created by Institut fur Angewandte Geodasie (IfAG), Germany. Georegistered images (e.g. Landsat ETM+) were digitised directly on-screen and adjusted to the base image mosaic. Other images (e.g. Landsat TM) were registered and rectified to the base mosaic first; non-digital images (e.g. Landsat MSS) were set up on a digitising table. For aerial photographs, the coastline positions were plotted onto the satellite image backdrop, using permanent rock features visible on the photographs and the photo-scale. The work used ESRI Arc/Info GIS software. This dataset is proposed in the following projection: Antarctic Polar Stereographic (EPSG 3031).
description: The accuracy of the data is variable and related to the quality and resolution of the source maps, aerial photographs and satellite images and how well the coastline positions could be extracted and related to the base image mosaic. The accuracy is listed in the attribute table as three classes. The methods used and accuracy assessment are described in detail in the publications in the references metadata.
DOI: 10.25934/00005599.1
title: Available IPD datapackage for study 'A Phase II, Randomized Study of Atezolizumab (Anti-PD-L1 Antibody) Administered as Monotherapy or in Combination With Bevacizumab Versus Sunitinib in Patients With Untreated Advanced Renal Cell Carcinoma'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005599.2
title: IPD datapackage for study 'A Phase II, Randomized Study of Atezolizumab (Anti-PD-L1 Antibody) Administered as Monotherapy or in Combination With Bevacizumab Versus Sunitinib in Patients With Untreated Advanced Renal Cell Carcinoma' and research request: 'Patterns of outcomes and the relevance surrogate endpoints in patients treated with immune checkpoint inhibitors'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.5507288
title: Pure POPC membrane simulations with the CHARMM-Drude force field (OpenMM 7.5.0)

description: MD simulation data of a pure POPC membrane with the CHARMM-Drude force field. All the input parameters are available in the *inp file. Total simulation duration is 500 ns. First 100 ns is discarded as equilibration. This data set contains 400 ns data with 4000 frames (saving frequency is 100 ps). Please note that the initial trajectory with 10 ps saving time is not uploaded. In total, 64 POPC lipids in each leaflet, 6400 SWM4-NPD water molecules.
DOI: 10.5281/zenodo.4682912
title: Generating Repairs for Inconsistent Models

description: This is the data set for the evaluation of our approach reported in the paper "Generating Repairs for Inconsistent Models".
DOI: 10.5281/zenodo.5507289
title: Pure POPC Membrane with 350mM NaCl simulations using Drude Polarizable Force Field and OpenMM

description: 500 ns MD simulation of pure POPC membrane using Charmm-Drude polarizable force field. The system contains 128 POPC lipids, 41 NaCl, and 6400 SWM4 water molecules. The simulation have been performed using OpenMM 7.4.1 Before running the Drude simulation, the system has been equilibriated using Charmm36 force field for 200 ns. The last frame of that simulation was used to generate Drude polarizable model. The first 100 ns of the Drude simulation has been discarded from this dataset. wrapped.dcd has a frame saving frequency of 100 ps. <strong>This data set is uploaded again, as the trajectories in the previous versions could have some imaging problems.</strong>
DOI: 10.5281/zenodo.5507265
title: Os modos de adesão e a abrangência do capitalismo de vigilância na educação brasileira

description: A base de dados, composta de PDFs, foi resultado de pedidos via LAI (Lei de Acesso a Informação). O artigo abaixo contém detalhamento de sua categorização. Essa pesquisa é parte das ações do Observatório Educação Vigiada (educacaovigiada.org.br), uma ação da Iniciativa Educação Aberta (aberta.org.br). Dados foram editados para remover informações pessoais dos solicitantes. Os demais dados são considerados públicos, data a natureza de sua solicitação. <em>Os modos de adesão e a abrangência do capitalismo de vigilância na educação brasileira. Perspectiva, 2021. No prelo: &lt;https://periodicos.ufsc.br/index.php/perspectiva&gt;.</em>