cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6962518
title: Fast Modelling of Vegetated Flow and Sediment Transport over Mobile Beds Using Shallow Water Equations with Anisotropic Porosity

description: The data are the numerical solutions and errors in different cases by the present model.
DOI: 10.5281/zenodo.7512292
title: Fast Modelling of Vegetated Flow and Sediment Transport over Mobile Beds Using Shallow Water Equations with Anisotropic Porosity

description: 1. The data are the numerical solutions and errors in different cases by the present model. 2. Framework of the code of the hybrid approach
DOI: 10.5281/zenodo.7540172
title: Fast Modelling of Vegetated Flow and Sediment Transport over Mobile Beds Using Shallow Water Equations with Anisotropic Porosity

description: 1. The data are the numerical solutions and errors in different cases by the present model. 2. Framework of the code of the hybrid approach
DOI: 10.6084/m9.figshare.21903741
title: QualitativeData_Stewardship

description: Results of participant observations, informal conversations and photovoice
DOI: 10.6084/m9.figshare.21903741.v1
title: QualitativeData_Stewardship

description: Results of participant observations, informal conversations and photovoice
DOI: 10.6084/m9.figshare.21903747
title: MindMaps_Stewardship

description: Results of mind maps around environmental stewardship (in Spanish)
DOI: 10.6084/m9.figshare.21903747.v1
title: MindMaps_Stewardship

description: Results of mind maps around environmental stewardship (in Spanish)
DOI: 10.5281/zenodo.7404303
title: Data compilation of stable and radiactive carbon, Nd isotopes, and Pa and Th of the Last Glacial Maxmium and last deglaciation

description: Proxy data compilations of \(\delta^{13}C\), benthic-planktic <sup>14</sup>C ages, Nd isotopes, and Pa and Th of the Last Glacial Maximum (LGM) and last deglaciation as used in Pöppelmeier et al. (2023). Pöppelmeier, F., Jeltsch-Thömmes, A., Lippold, J., Joos, F., & Stocker, T. F. (2023). Multi-proxy agreement on Atlantic circulation dynamics since the last ice age.
DOI: 10.5281/zenodo.7404302
title: Data compilation of stable and radiactive carbon, Nd isotopes, and Pa and Th of the Last Glacial Maxmium and last deglaciation

description: Proxy data compilations of \(\delta^{13}C\), benthic-planktic <sup>14</sup>C ages, Nd isotopes, and Pa and Th of the Last Glacial Maximum (LGM) and last deglaciation as used in Pöppelmeier et al. (2023). Pöppelmeier, F., Jeltsch-Thömmes, A., Lippold, J., Joos, F., & Stocker, T. F. (2023). Multi-proxy agreement on Atlantic circulation dynamics since the last ice age.
DOI: 10.34740/kaggle/dsv/4858348
title: AutoXGB
DOI: 10.6084/m9.figshare.7093481
title: AphasiaRecovery

description: normalized fMRI and behavioral data, auditory comprehension fMRI task (event-related design) with normal speech, reversed speech and pseudo-speech presented randomly. For details see manuskript submitted to Brain 2018.
DOI: 10.34810/data578
title: The MedAfriCarbon radiocarbon database and web application. Archaeological dynamics in Mediterranean Africa, ca. 9600-700 BC

description: MedAfriCarbon radiocarbon database and web app are outcomes of the MedAfrica Project —Archaeological deep history and dynamics of Mediterranean Africa, ca. 9600-700 BC. The dataset presented here includes a collection of 1584 calibrated archaeological 14C dates from 1587 samples collected from 368 sites located in Mediterranean Africa (plus some additional dates whose published information is incomplete). The majority of the dates are linked to cultural and environmental variables, notably the presence/absence of different domestic/wild species and specific material culture.
DOI: 10.5281/zenodo.7540200
title: Multi-proxy agreement on Atlantic circulation dynamics since the last ice age: Model output data

description: This dataset contains model output for the simulations presented in: <em>"Multi-proxy agreement on Atlantic circulation dynamics since the last ice age"</em>.
DOI: 10.5281/zenodo.7540199
title: Multi-proxy agreement on Atlantic circulation dynamics since the last ice age: Model output data

description: This dataset contains model output for the simulations presented in: <em>"Multi-proxy agreement on Atlantic circulation dynamics since the last ice age"</em>.
DOI: 10.6084/m9.figshare.21900501
title: Base_QB_SU.pages

description: <em>Semi-structured interviews with 30 women founders of startups.</em>
DOI: 10.6084/m9.figshare.21901545.v1
title: dataset1_p53

description: dataset1_p53
DOI: 10.5281/zenodo.6381899
title: A Twitter Streaming Data Set collected before and after the Onset of the War between Russia and Ukraine in 2022

description: Social media can be mirrors of human interaction, society, and world events. Their reach enables the global dissemination of information in the shortest possible time and thus the individual participation of people all over the world in global events in almost real-time. However, equally efficient, these platforms can be misused in the context of information warfare in order to manipulate human perception and opinion formation. The outbreak of war between Russia and Ukraine on February 24, 2022, demonstrated this in a striking manner. Here we publish a dataset of raw tweets collected by using the Twitter Streaming API in the context of the onset of the war which Russia started on Ukraine on February 24, 2022. A distinctive feature of the dataset is that it covers the period from one week before to one week after Russia's invasion of Ukraine. We publish the IDs of all tweets we streamed during that time, the time we rehydrated them using Twitter's API as well as the result of the rehydration. If you use this dataset, please cite our related Paper: Pohl, Janina Susanne and Seiler, Moritz Vinzent and Assenmacher, Dennis and Grimme, Christian, A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022 (March 25, 2022). Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543
DOI: 10.5281/zenodo.6381898
title: A Twitter Streaming Data Set collected before and after the Onset of the War between Russia and Ukraine in 2022

description: Social media can be mirrors of human interaction, society, and world events. Their reach enables the global dissemination of information in the shortest possible time and thus the individual participation of people all over the world in global events in almost real-time. However, equally efficient, these platforms can be misused in the context of information warfare in order to manipulate human perception and opinion formation. The outbreak of war between Russia and Ukraine on February 24, 2022, demonstrated this in a striking manner. Here we publish a dataset of raw tweets collected by using the Twitter Streaming API in the context of the onset of the war which Russia started on Ukraine on February 24, 2022. A distinctive feature of the dataset is that it covers the period from one week before to one week after Russia's invasion of Ukraine. We publish the IDs of all tweets we streamed during that time, the time we rehydrated them using Twitter's API as well as the result of the rehydration. If you use this dataset, please cite our related Paper: Pohl, Janina Susanne and Seiler, Moritz Vinzent and Assenmacher, Dennis and Grimme, Christian, A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022 (March 25, 2022). Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543
DOI: 10.5281/zenodo.7540223
title: A Twitter Streaming Data Set collected before and after the Onset of the War between Russia and Ukraine in 2022

description: Social media can be mirrors of human interaction, society, and world events. Their reach enables the global dissemination of information in the shortest possible time and thus the individual participation of people all over the world in global events in almost real-time. However, equally efficient, these platforms can be misused in the context of information warfare in order to manipulate human perception and opinion formation. The outbreak of war between Russia and Ukraine on February 24, 2022, demonstrated this in a striking manner. Here we publish a dataset of raw tweets collected by using the Twitter Streaming API in the context of the onset of the war which Russia started on Ukraine on February 24, 2022. A distinctive feature of the dataset is that it covers the period from one week before to one week after Russia's invasion of Ukraine. We publish the IDs of all tweets we streamed during that time, the time we rehydrated them using Twitter's API as well as the result of the rehydration. If you use this dataset, please cite our related Paper: Pohl, Janina Susanne and Seiler, Moritz Vinzent and Assenmacher, Dennis and Grimme, Christian, A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022 (March 25, 2022). Available at SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543
DOI: 10.6084/m9.figshare.21903864
title: Democratic backsliding as a catalyst for polity-based contestation? Populist radical right cooperation in the European Parliament

description: The strengthening of the populist radical right poses an important challenge for European integration. This article explores whether democratic backsliding among member states has acted as a catalyst for broader PRR cooperation at the EU level. Studying the co-sponsorship and contents of parliamentary questions and roll-call vote cohesion of PRR representatives in the European Parliament from 2009 to 2019, we examine the extent and substance of their joint polity-based contestation of European integration. Our findings indicate that overall levels of PRR cooperation remain low and concentrated within European party groups, suggesting that ideological divergences between PRR actors and their institutional fragmentation within the EP still hamper their formal cooperation at the European level. These insights feed into debates on the potential and limitations of transnational cooperation of PRR actors.
DOI: 10.6084/m9.figshare.21903864.v1
title: Democratic backsliding as a catalyst for polity-based contestation? Populist radical right cooperation in the European Parliament

description: The strengthening of the populist radical right poses an important challenge for European integration. This article explores whether democratic backsliding among member states has acted as a catalyst for broader PRR cooperation at the EU level. Studying the co-sponsorship and contents of parliamentary questions and roll-call vote cohesion of PRR representatives in the European Parliament from 2009 to 2019, we examine the extent and substance of their joint polity-based contestation of European integration. Our findings indicate that overall levels of PRR cooperation remain low and concentrated within European party groups, suggesting that ideological divergences between PRR actors and their institutional fragmentation within the EP still hamper their formal cooperation at the European level. These insights feed into debates on the potential and limitations of transnational cooperation of PRR actors.
DOI: 10.6084/m9.figshare.21903870
title: Three sides of the same coin? comparing party positions in VAAs, expert surveys and manifesto data

description: Existing research on political parties’ policy positions has traditionally relied on expert surveys and/or party manifesto data. More recently, Voting Advice Applications (VAAs) have been increasingly used as an additional method for locating parties in the policy space, with a closer focus on concrete policy issues. In this manuscript, we examine the reliability of party positions originated from a VAA, utilising the euandi longitudinal dataset, which provides data on positions of over 400 unique political parties across 28 EU member states from the European Parliament elections of 2009, 2014 and 2019. We cross-validate euandi data with the Comparative Manifesto Project (CMP) and the Chapel Hill Expert Survey (CHES). Our results attest the reliability of the euandi trend file vis-à-vis remaining data sources, demonstrating the validity of VAA-based methods to estimate the policy positions of European political parties. Convergence is especially high with CHES party placements. We also explore the sources of divergence in the estimation of policy positions across the three methods, finding little evidence of a systematic source of bias in the estimates between datasets. We conclude with an inventory of arguments in favour of party position measurements used by VAAs for the study of policy-making in European democracies.
DOI: 10.6084/m9.figshare.21903870.v1
title: Three sides of the same coin? comparing party positions in VAAs, expert surveys and manifesto data

description: Existing research on political parties’ policy positions has traditionally relied on expert surveys and/or party manifesto data. More recently, Voting Advice Applications (VAAs) have been increasingly used as an additional method for locating parties in the policy space, with a closer focus on concrete policy issues. In this manuscript, we examine the reliability of party positions originated from a VAA, utilising the euandi longitudinal dataset, which provides data on positions of over 400 unique political parties across 28 EU member states from the European Parliament elections of 2009, 2014 and 2019. We cross-validate euandi data with the Comparative Manifesto Project (CMP) and the Chapel Hill Expert Survey (CHES). Our results attest the reliability of the euandi trend file vis-à-vis remaining data sources, demonstrating the validity of VAA-based methods to estimate the policy positions of European political parties. Convergence is especially high with CHES party placements. We also explore the sources of divergence in the estimation of policy positions across the three methods, finding little evidence of a systematic source of bias in the estimates between datasets. We conclude with an inventory of arguments in favour of party position measurements used by VAAs for the study of policy-making in European democracies.
DOI: 10.25678/0007nq
title: Data for: Sensor Setpoints that Ensure Compliance with Microbial Water Quality Targets for Membrane Bioreactor and Chlorination Treatment in On-Site Water Reuse Systems

description: Widespread implementation of on-site water reuse systems is hindered by the limited ability to ensure the level of treatment and protection of human health during operation. In this study, we tested the ability of five commercially available online sensors (free chlorine (FC), oxidation-reduction potential (ORP), pH, turbidity, UV absorbance at 254 nm) to predict the microbial water quality (removal of bacteria, removal of viruses, regrowth of bacteria) in membrane bioreactors followed by chlorination using logistic regression-based and mechanism-based models. We found that FC and ORP alone could predict the microbial water quality well, with ORP-based models generally performing better. We further observed that prediction accuracy did not increase when data from multiple sensors were integrated. We propose a methodology to link these online measurements to risk-based water quality targets, providing operation setpoints protective of human health for specific combinations of wastewaters and reuse applications. For instance, we recommend a minimum ORP of 705 mV to ensure a virus log-removal of 5, and an ORP of 765 mV for a log-removal of 6. These setpoints were selected to ensure that the percentage of events where the water is predicted to meet the quality target when it does not remains below 5%. Such a systematic approach to set sensor targets could be used in the development of water reuse frameworks (e.g., guidelines and regulations) that aim to cover a range of reuse applications with differential risks to human health.
DOI: 10.6084/m9.figshare.20325294
title: Jonathan Hamisi PhD thesis supplementary material

description: Jonathan Hamisi PhD thesis supplementary material
DOI: 10.6084/m9.figshare.21903804.v1
title: Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education.sav

description: This dataset contains the data of the study "Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education." One can find the the raw data of the answers of pre-service chemistry teachers attending the seminar. There are the data before and after the intervention. Data for all three iterations can be found.
DOI: 10.6084/m9.figshare.20325294.v2
title: Jonathan Hamisi PhD thesis supplementary material

description: Jonathan Hamisi PhD thesis supplementary material
DOI: 10.6084/m9.figshare.21903804.v2
title: Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education.sav

description: This dataset contains the data of the study "Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education." One can find the the raw data of the answers of pre-service chemistry teachers attending the seminar. There are the data before and after the intervention. Data for all three iterations can be found.
DOI: 10.6084/m9.figshare.21903804
title: Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education

description: This dataset contains the data of the study "Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education." One can find the the raw data of the answers of pre-service chemistry teachers attending the seminar. There are the data before and after the intervention. Data for all three iterations can be found.
DOI: 10.6084/m9.figshare.21903804.v4
title: Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education

description: This dataset contains the data of the study "Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education." One can find the the raw data of the answers of pre-service chemistry teachers attending the seminar. There are the data before and after the intervention. Data for all three iterations can be found.
DOI: 10.6084/m9.figshare.21903804.v3
title: Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education.sav

description: This dataset contains the data of the study "Enhancing Pre-service Chemistry Teachers' Chemish Teaching Self-Efficacy Beliefs with a Seminar on Language-sensitive Chemistry Education." One can find the the raw data of the answers of pre-service chemistry teachers attending the seminar. There are the data before and after the intervention. Data for all three iterations can be found.
DOI: 10.5519/qd.8u2fvziy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (286 records)
DOI: 10.5281/zenodo.5498101
title: CCG Starter Data Kit: Peru

description: A starter data kit for Peru
DOI: 10.5281/zenodo.5498102
title: CCG Starter Data Kit: Peru

description: A starter data kit for Peru
DOI: 10.5281/zenodo.7539558
title: CCG Starter Data Kit: Peru

description: A starter data kit for Peru
DOI: 10.5281/zenodo.5139542
title: CCG Starter Data Kit: Philippines

description: A starter data kit for Philippines
DOI: 10.5281/zenodo.5139543
title: CCG Starter Data Kit: Philippines

description: A starter data kit for Philippines
DOI: 10.5281/zenodo.6478249
title: CCG Starter Data Kit: Philippines

description: A starter data kit for Philippines
DOI: 10.5281/zenodo.6542382
title: CCG Starter Data Kit: Philippines

description: A starter data kit for Philippines
DOI: 10.5281/zenodo.7540259
title: CCG Starter Data Kit: Philippines

description: A starter data kit for Philippines
DOI: 10.17632/pdjn22yxr9.1
title: Data for: The role of fringing vegetation in supporting avian access to arid zone waterholes

description: Camera trap data collected to model mean trapping rates (MTRs) of terrestrial birds at arid zone waterholes in central Australia in relation to distance to fringing vegetation and season.
DOI: 10.34740/kaggle/dsv/4858531
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.21900735
title: T-cell toelrance in atherosclerosis

description: Atherosclerotic plaques form in the inner layer of arteries triggering heart attacks and strokes. Although T-cells have been detected in atherosclerosis, tolerance dysfunction as a disease driver remains unexplored. Here, we examined tolerance checkpoints in atherosclerotic plaques, artery tertiary lymphoid organs, and lymph nodes in mice burdened by advanced atherosclerosis, via single-cell RNA sequencing paired with single T-cell receptor sequencing. In this study, ApoE-/- mice on a C57BL/6 background and C57BL/6 WT mice were housed in the specific pathogen-free animal facilities of Munich University with a 12 h light/dark cycle, air-conditioned (23° C and 60% relative humidity). All mice were 78-85 weeks old and had been maintained on a standard rodent chow. Animal procedures were approved by the Regierung of Oberbayern according to the guidelines of the local Animal Use and Care Committee and the National Animal Welfare Laws. Mice were euthanized by ketamine hydrochloride and xylazine hydrochloride. Blood was collected by cardiac puncture. Perfusion was performed from the left ventricle with 10 ml 5 mM EDTA buffer, 20 ml PBS and 20 ml FACS buffer, respectively. RLNs were collected under a dissecting microscope. To collect plaques and ATLOs, adipose tissue and paraaortic LNs were carefully removed. The whole aorta was dissected and collected in cell culture dishes with pre-cooled FACS buffer. The aorta was opened in the longitudinal direction, the plaque tissues were carefully removed using curved forceps (Dumont #5/45, Fine Science Tools) under the dissecting microscope. The remaining aorta was collected as ATLOs. RLNs, ATLOs and plaques. Three separated cohorts of mice were used: (i) pools of 3 ApoE-/- and 3 WT mice were used to collect plaques, ATLOs, and RLNs, and pools of 5 ApoE-/- and 5 WT mice were used to collect blood in the first cohort; (ii) Cell hashtags (hashtags, Biolegend, TotalSeq™ C) were used to label 4 ApoE-/- and 4 WT mice individually to collect ATLOs and RLNs; (iii) Pools of 5 ApoE-/- mice to collect plaque tissues. Single cell suspensions are prepared and stained with fluorescent antibodies for single live leukocyte sorting Next, appropriate single cell suspension are loaded onto 10x Genomics chip to generate gel bead in emulsions.