cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15139/s3/84sgko
title: Amyotrophic Lateral Sclerosis (ALS) Microbiome Pilot Data

description: This study was to examine differential composition of the gut microbial communities between ALS patients and their partner/caregiver controls. Rectal swabs were self-collected by 10 patient – control pairs in the summer of 2016. After DNA isolation, the V4 region of the 16S rRNA gene was sequenced. These files can be found at NCBI as BioProject NNNNN and at the NCBI SRA as accession IDIDs: nnnnn-nnnnn. (NB: Accession IDs will be given once assigned by NCBI)
DOI: 10.21227/3sq5-n604
title: January-31-Tang-Wenyuan.csv

description: January-31-Tang-Wenyuan.csv
DOI: 10.6084/m9.figshare.13259657
title: Lung Mucosal MAIT Cell Heterogeneity

description: MAIT cell single-cell RNA-seq matrixMAIT cell bulk RNA-seq DEGs (HIV-negative)
DOI: 10.5281/zenodo.4644392
title: Synthesis and characterization of WS2/SiO2 microfibers_experimental dataset

description: This file contains the raw unprocessed experimental data for the results published in Kundrát et al., Synthesis and characterization of WS2/SiO2 microfibers, <em>Journal of Materials Science</em> <strong>volume 56</strong>, pages 10834–10846 (2021).
description: We thank Dr. Y. Feldman for the XRD analysis. This research has been financially supported by the MEYS CR under the project CEITEC 2020 (LQ1601) and the Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 810626 (SINNCE). CIISB research infrastructure project LM2018127 funded by the MEYS CR is gratefully acknowledged for the financial support of the measurements at the CEITEC MU CF X-ray Diffraction and Bio-SAXS and the CF Cryo-electron Microscopy and Tomography. The support of the Irving and Cherna Moskowitz Center for Nano and Bio-Nano Imaging, the Perlman Family Foundation, the Kimmel Center for Nanoscale Science Grant No. 43535000350000, is greatly acknowledged.
DOI: 10.5281/zenodo.4644391
title: Synthesis and characterization of WS2/SiO2 microfibers_experimental dataset

description: This file contains the raw unprocessed experimental data for the results published in Kundrát et al., Synthesis and characterization of WS2/SiO2 microfibers, <em>Journal of Materials Science</em> <strong>volume 56</strong>, pages 10834–10846 (2021).
description: We thank Dr. Y. Feldman for the XRD analysis. This research has been financially supported by the MEYS CR under the project CEITEC 2020 (LQ1601) and the Horizon 2020 Research and Innovation Programme under the Grant Agreement No. 810626 (SINNCE). CIISB research infrastructure project LM2018127 funded by the MEYS CR is gratefully acknowledged for the financial support of the measurements at the CEITEC MU CF X-ray Diffraction and Bio-SAXS and the CF Cryo-electron Microscopy and Tomography. The support of the Irving and Cherna Moskowitz Center for Nano and Bio-Nano Imaging, the Perlman Family Foundation, the Kimmel Center for Nanoscale Science Grant No. 43535000350000, is greatly acknowledged.
DOI: 10.5281/zenodo.4644265
title: Geomorphological units of the Upper Garonne Valley, Pyrenees

description: We present the geomorphological units of the upper Garonne Valley (Pyrenees) that includes the spatial distribution of 44 groups of landforms based on their genesis: 1 – glacial, 2 – periglacial, 3 – slope, 4 – alluvial, 5 – fluvial, 6 – nival, 7 – karst, and 8 – hydrology. The data includes landforms formed during Quaternary glaciations to present-day. The map covers an area of 553 km<sup>2</sup>, from the mountaintops to the valley bottoms drained by the Garonne River. The resulting geomorphological units can be used either for the promotion of geoheritage and geoconservation, as well as for spatial planning in areas susceptible to be affected by natural hazards. The map was produced on ArcGIS 10.7.1 (ESRI) based on the orthophotomaps (0.25 m resolution) and LIDAR digital elevation models (density points of 0.5-2 m<sup>2</sup>). Furthermore, the vectorization of the features used lines, points, and polygons. Data validation was carried through multiple field work campaigns, namely during the summers in 2015, 2019 and 2020.
description: The "Geomorphological units of the Upper Garonne Valley, Pyrenees" will soon be submitted to the "Journal of Maps" and we would like, at the same time, to share the data with the scientific community of PANGAEA. The map was produced on ArcGIS 10.7.1 (ESRI) based on the orthophotomaps (0.25 m resolution) and LIDAR digital elevation models (density points of 0.5-2 m2). We have organized several groups of landforms generated based on their geomorphological genesis: 1 – glacial, 2 – periglacial, 3 – slope, 4 – alluvial, 5 - fluvial, 6 – nival, 7 – karst, and 8 – hydrology. You can find all the data available in a folder including kmz files enclosed to this submission.
DOI: 10.5281/zenodo.4644264
title: Geomorphological units of the Upper Garonne Valley, Pyrenees

description: We present the geomorphological units of the upper Garonne Valley (Pyrenees) that includes the spatial distribution of 44 groups of landforms based on their genesis: 1 – glacial, 2 – periglacial, 3 – slope, 4 – alluvial, 5 – fluvial, 6 – nival, 7 – karst, and 8 – hydrology. The data includes landforms formed during Quaternary glaciations to present-day. The map covers an area of 553 km<sup>2</sup>, from the mountaintops to the valley bottoms drained by the Garonne River. The resulting geomorphological units can be used either for the promotion of geoheritage and geoconservation, as well as for spatial planning in areas susceptible to be affected by natural hazards. The map was produced on ArcGIS 10.7.1 (ESRI) based on the orthophotomaps (0.25 m resolution) and LIDAR digital elevation models (density points of 0.5-2 m<sup>2</sup>). Furthermore, the vectorization of the features used lines, points, and polygons. Data validation was carried through multiple field work campaigns, namely during the summers in 2015, 2019 and 2020.
description: The "Geomorphological units of the Upper Garonne Valley, Pyrenees" will soon be submitted to the "Journal of Maps" and we would like, at the same time, to share the data with the scientific community of PANGAEA. The map was produced on ArcGIS 10.7.1 (ESRI) based on the orthophotomaps (0.25 m resolution) and LIDAR digital elevation models (density points of 0.5-2 m2). We have organized several groups of landforms generated based on their geomorphological genesis: 1 – glacial, 2 – periglacial, 3 – slope, 4 – alluvial, 5 - fluvial, 6 – nival, 7 – karst, and 8 – hydrology. You can find all the data available in a folder including kmz files enclosed to this submission.
DOI: 10.25345/c5p225
title: MassIVE MSV000087037 - Bottom-up analysis of serum and plasma IgG Fc
title: This data set contains all raw data files in the mzXML format that belongs to the manuscript: Serum and plasma immunoglobulin G Fc N-glycosylation is stable during storage, by Manuela Amez Martin, Manfred Wuhrer and David Falck.
DOI: 10.3886/e130406v1-82480
title: Studying Undergraduate Course Consideration at Scale

description: Article Abstract: Elective curriculums require undergraduates to choose from a large roster of courses for enrollment each term. It has proven difficult to characterize this fateful choice process because it remains largely unobserved. Using digital trace data to observe this process at scale at a private research university, together with qualitative student interviews, we provide a novel empirical study of course consideration as an important component of course selection. Clickstream logs from a course exploration platform used by most undergraduates at the case university reveal that students consider on average nine courses for enrollment for their first fall term (&lt;2% of available courses) and these courses predict which academic major students declare two years later. Twenty-nine interviews confirm that students experience consideration as complex and reveal variation in consideration strategies that may influence how consideration unfolds. Consideration presents a promising site for intervention in problems of equity, career funneling and college completion.
DOI: 10.21227/k0f0-mq03
title: Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity forecasting

description: COVID-19 causes issues in energy demand profile forecasting. Day-ahead energy forecasting systems struggle to provide accurate demand predictions. Decomposition-Residuals Deep Neural Networks (DR-DNN) is a two-layer hybrid architecture with: a decomposition and a nonlinear layer. Based on statistical tests, the decomposition layer applies robust signal decomposition and low-order system identification of input data streams into: trend, seasonal and residuals signals. Utilizing calendar information, temporal signals are added: sinusoidal day/night cycles, weekend/weekday, etc. The nonlinear layer can learn unknown nonlinear patterns using typical DNN models like Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN). DR-DNN outperformed baseline, linear, and plain DNN models on next-day electricity forecasts within the COVID-19 era (September 2020-January 2021).
DOI: 10.15468/yjphnw
title: First records and two new species of sipunculans (Sipuncula) from the Southern Mexican Pacific

description: This dataset contains the digitized treatments in Plazi based on the original journal article Silva-Morales, Itzahí, Gómez-Vásquez, Julio D. (2021): First records and two new species of sipunculans (Sipuncula) from the Southern Mexican Pacific. European Journal of Taxonomy 740 (1): 77-117, DOI: https://doi.org/10.5852/ejt.2021.740.1283, URL: http://dx.doi.org/10.5852/ejt.2021.740.1283
DOI: 10.5281/zenodo.3989400
title: CADA Test Dataset addon for task 2 (segmentation): Aneurysm seed points

description: Test data addon for the CADA challenge(s). This dataset contains the seeds pointing to the true aneurysms to segment. See https://cada.grand-challenge.org/Copyright/ for license info on the data. See README.md for detailed info.
DOI: 10.5281/zenodo.3989399
title: CADA Test Dataset addon for task 2 (segmentation): Aneurysm seed points

description: Test data addon for the CADA challenge(s). This dataset contains the seeds pointing to the true aneurysms to segment. See https://cada.grand-challenge.org/Copyright/ for license info on the data. See README.md for detailed info.
DOI: 10.5281/zenodo.4644379
title: Ternary lipid composition in a curved geometry, more flat surface

description: To be added.
DOI: 10.5281/zenodo.4644378
title: Ternary lipid composition in a curved geometry, more flat surface

description: To be added.
DOI: 10.3886/e127541
title: Data and Code for: Risk-based Selection in Unemployment Insurance: Evidence and Implications

description: This paper studies whether adverse selection can rationalize a universal mandate for unemployment insurance (UI). Building on a unique feature of the unemployment policy in Sweden, where workers can opt for supplemental UI coverage above a minimum mandate, we provide the first direct evidence for adverse selection in UI and derive its implications for UI design. We find that the unemployment risk is more than twice as high for workers who buy supplemental coverage. Exploiting variation in risk and prices, we show how 25-30% of this correlation is driven by risk-based selection, with the remainder driven by moral hazard. Due to the moral hazard and despite the adverse selection we find that mandating the supplemental coverage to individuals with low willingness-to-pay would be sub-optimal. We show under which conditions a design leaving choice to workers would dominate a UI system with a single mandate. In this design, using a subsidy for supplemental coverage is optimal and complementary to the use of a minimum mandate.
DOI: 10.3886/e127541v1
title: Data and Code for: Risk-based Selection in Unemployment Insurance: Evidence and Implications

description: This paper studies whether adverse selection can rationalize a universal mandate for unemployment insurance (UI). Building on a unique feature of the unemployment policy in Sweden, where workers can opt for supplemental UI coverage above a minimum mandate, we provide the first direct evidence for adverse selection in UI and derive its implications for UI design. We find that the unemployment risk is more than twice as high for workers who buy supplemental coverage. Exploiting variation in risk and prices, we show how 25-30% of this correlation is driven by risk-based selection, with the remainder driven by moral hazard. Due to the moral hazard and despite the adverse selection we find that mandating the supplemental coverage to individuals with low willingness-to-pay would be sub-optimal. We show under which conditions a design leaving choice to workers would dominate a UI system with a single mandate. In this design, using a subsidy for supplemental coverage is optimal and complementary to the use of a minimum mandate.
DOI: 10.6073/pasta/773e1a11a9b8a2a43e89e20ff27bcd2e
title: Hubbard Brook Experimental Forest: Leaf Area Index (LAI) Watershed 1

description: Leaf area index (LAI) of the mature deciduous forest on WS1 at Hubbard Brook Experimental Forest is estimated on the basis of leaf litterfall collections; the raw data for litterfall are posted in the EDI data package – Fine Litterfall Data at the Hubbard Brook Experimental Forest, 1992 – present (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=49). This watershed was treated with a calcium silicate mineral (wollastonite) in 1999 to gradually replace Ca lost as a result of acid deposition. Leaf litterfall is collected in 0.097 m2 litter traps raised 1.5 m above ground level and is sorted by species. The number of leaves of each species is counted. The counts are multiplied by the average area per leaf for each species in each plot to estimate LAI. Litter traps are located randomly within each of three plots that are arranged along the elevation gradient within the deciduous forest zone.
DOI: 10.3886/e124101
title: Data and Code for: When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation: Comment.

description: We revisit one of the results in Cicala (2015) and show that the previously estimated large and significant effects of U.S. electricity restructuring on fuel procurement are not robust to the presence of outliers. Using methodologies from the robust statistics literature, we estimate the effect to be less than half of the previous estimate and not statistically different from zero. The robust methodology also identifies as outliers the plants owned by a single company whose coal contracts were renegotiated before discussions about restructuring even started.
description: Response Rates: Any power plant with the generation capacity above 50MW is required to report its fuel expenditure to the Energy Information Administration.
description: Power plants that burn coal as a primary source for generation are used for this study.<br>
description: Coal-fired power plants in the United States of America between 1990 and 2009. Smallest Geographic Unit: Individual power plants
description: other; Certain parts of data are proprietary and restricted for public access. Confidential data include proprietary information on power plant fuel expenditure, M&As and incentive regulation status. See README file for further details.<br>
DOI: 10.3886/e124101v1
title: Data and Code for: When Does Regulation Distort Costs? Lessons from Fuel Procurement in US Electricity Generation: Comment.

description: We revisit one of the results in Cicala (2015) and show that the previously estimated large and significant effects of U.S. electricity restructuring on fuel procurement are not robust to the presence of outliers. Using methodologies from the robust statistics literature, we estimate the effect to be less than half of the previous estimate and not statistically different from zero. The robust methodology also identifies as outliers the plants owned by a single company whose coal contracts were renegotiated before discussions about restructuring even started.
description: Response Rates: Any power plant with the generation capacity above 50MW is required to report its fuel expenditure to the Energy Information Administration.
description: Power plants that burn coal as a primary source for generation are used for this study.<br>
description: Coal-fired power plants in the United States of America between 1990 and 2009. Smallest Geographic Unit: Individual power plants
description: other; Certain parts of data are proprietary and restricted for public access. Confidential data include proprietary information on power plant fuel expenditure, M&As and incentive regulation status. See README file for further details.<br>
DOI: 10.6073/pasta/d561072b72ef8cce6d7c123cbe3b4f12
title: Hubbard Brook Experimental Forest: Leaf Area Index (LAI) Throughfall Plots

description: Leaf area index (LAI) of the mature deciduous forest adjacent to WS6 at Hubbard Brook Experimental Forest is estimated on the basis of leaf litterfall collections; the raw data for litterfall are posted in the EDI data package – Fine Litterfall Data at the Hubbard Brook Experimental Forest, 1992 – present (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=49). These plots are designated TF, referring to throughfall chemistry collections performed at these plots many years ago (Lovett et al. 1996). Leaf litterfall is collected in 0.097 m2 litter traps raised 1.5 m above ground level and is sorted by species. The number of leaves of each species is counted. The counts are multiplied by the average area per leaf for each species in each plot to estimate LAI. Litter traps are located randomly within each of three plots that are arranged along the elevation gradient within the deciduous forest zone. Gary M. Lovett, Scott S. Nolan, Charles T. Driscoll, and Timothy J. Fahey. Factors regulating throughfall flux in a New Hampshire forested landscape. Canadian Journal of Forest Research. 26(12): 2134-2144. https://doi.org/10.1139/x26-242
DOI: 10.18112/openneuro.ds003586.v1.0.0
title: Neurocognitive aging data release with behavioral, structural, and multi-echo functional MRI measures
DOI: 10.6084/m9.figshare.14219207
title: Nutrient deposition enhances post-fire survival in non-N-fixing savanna tree seedlings - dataset

description: Questions: Nutrient deposition can modify plant growth and potentially alter the susceptibility of plants to disturbance events, while simultaneously influencing properties of the disturbance regimes themselves. With deposition rates accelerating, ecosystems such as savannas and tropical dry forests that are characterized by frequent disturbances such as fire, might be particularly sensitive to changes in nutrient availability. In these mixed tree-grass ecosystems, tree seedling growth rates strongly influence the ability of seedlings to survive fire, and hence, vegetation structure and tree community composition. However, the effects of nutrient deposition on the susceptibility of recruiting trees to fire remain poorly quantified. Here we ask – a) how does nutrient deposition influence post-fire survival of tree seedlings, and hence, tree recruitment in savannas; and b) whether the co-dominant functional groups (N-fixers and non-N-fixers) respond differently, signalling a potential for long-term changes in tree communities.<br><br>Location: Savannas and tropical dry forests of India.<br><br>Methods: In a field experiment, seedlings of four N-fixing and four non-N-fixing savanna tree species were grown for 18 months while exposed to a factorial combination of nitrogen (N) and phosphorus (P) addition. We quantified nutrient-mediated changes in mean seedling growth and growth of the fastest growing individuals. Seedlings were then exposed to a fire treatment at the end of 18 months, and post-fire seedling survival recorded after six months.<br><br>Results: N-fixers showed substantially greater post-fire seedling survival compared to non-N-fixers in unfertilised treatments. Nutrient addition did not alter post-fire survival of N-fixers. However, fertilisation, especially with N, increased post-fire survival in non-N-fixers by increasing the growth of the fastest growing individuals.<br><br>Conclusions: Nutrient deposition can dilute the relative advantage of N-fixing seedlings in terms of their post-fire survival, potentially leading to increased relative abundances of non-N-fixers in post-fire resprout communities, with long-term consequences for the composition of savanna tree communities.
DOI: 10.6084/m9.figshare.14219207.v1
title: Nutrient deposition enhances post-fire survival in non-N-fixing savanna tree seedlings - dataset

description: Questions: Nutrient deposition can modify plant growth and potentially alter the susceptibility of plants to disturbance events, while simultaneously influencing properties of the disturbance regimes themselves. With deposition rates accelerating, ecosystems such as savannas and tropical dry forests that are characterized by frequent disturbances such as fire, might be particularly sensitive to changes in nutrient availability. In these mixed tree-grass ecosystems, tree seedling growth rates strongly influence the ability of seedlings to survive fire, and hence, vegetation structure and tree community composition. However, the effects of nutrient deposition on the susceptibility of recruiting trees to fire remain poorly quantified. Here we ask – a) how does nutrient deposition influence post-fire survival of tree seedlings, and hence, tree recruitment in savannas; and b) whether the co-dominant functional groups (N-fixers and non-N-fixers) respond differently, signalling a potential for long-term changes in tree communities.<br><br>Location: Savannas and tropical dry forests of India.<br><br>Methods: In a field experiment, seedlings of four N-fixing and four non-N-fixing savanna tree species were grown for 18 months while exposed to a factorial combination of nitrogen (N) and phosphorus (P) addition. We quantified nutrient-mediated changes in mean seedling growth and growth of the fastest growing individuals. Seedlings were then exposed to a fire treatment at the end of 18 months, and post-fire seedling survival recorded after six months.<br><br>Results: N-fixers showed substantially greater post-fire seedling survival compared to non-N-fixers in unfertilised treatments. Nutrient addition did not alter post-fire survival of N-fixers. However, fertilisation, especially with N, increased post-fire survival in non-N-fixers by increasing the growth of the fastest growing individuals.<br><br>Conclusions: Nutrient deposition can dilute the relative advantage of N-fixing seedlings in terms of their post-fire survival, potentially leading to increased relative abundances of non-N-fixers in post-fire resprout communities, with long-term consequences for the composition of savanna tree communities.
DOI: 10.6084/m9.figshare.14173523.v2
title: Table: representative sequences

description: Fasta file containing representative sequences for ASVs listed in Table S2
DOI: 10.6084/m9.figshare.14173523
title: Table: representative sequences

description: Fasta file containing representative sequences for ASVs listed in Table S2
DOI: 10.6084/m9.figshare.14173523.v1
title: Table S2 representative sequences

description: Fasta file containing representative sequences for ASVs listed in Table S2
DOI: 10.6084/m9.figshare.14115638
title: Table: metadata

description: Sample Metadata for accompanying Table S2. Details for each Sample ID listed in Table S2.
DOI: 10.6084/m9.figshare.14115638.v2
title: Table: metadata

description: Sample Metadata for accompanying Table S2. Details for each Sample ID listed in Table S2.
DOI: 10.6084/m9.figshare.14115638.v1
title: TableS2_metadata

description: Sample Metadata for accompanying Table S2. Details for each Sample ID listed in Table S2.