cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/0d3e8735f39ba5c3a70d0d57163ac66d
title: Effects of 2015 experimental burn on Eriophorum vaginatum at Toolik Lake Field Station, Alaska 2016

description: This was an experimental burn conducted in the summer of 2015 to provide sites for an experiment to see whether seeds of Eriophorum vaginatum from different ecotypes could establish in recently burned areas.  It consisted of ten 2 m X 2 m plots along with a similar number of control plots. There was little seedling establishment but other data have been collected on the plots.
DOI: 10.6073/pasta/30357853db1e8122d3b0425b1b1c0ff4
title: Extratropical Storms (1885-1996) Count by  Month (USA)

description: This data set consists of the monthly counts of the number of storms passing through designated 2.5-degree lat and 5.0 degree long. grid cells. The data are from the published tracks of the centers of cyclones across North America published by NOAA in Monthly Weather Review and Mariners Weather Log. Storm centers were defined by closed isobars that persisted for 6 or more hours. 
      The coordinates given for each counting cell define the northeast corner of the grid cell. Thus longitude 120 and LAT45 is the cell that extends from longitude -120 to -125 and latitude 42.5 to 45.
DOI: 10.6073/pasta/f3a6b95daa9cac1406958dcc62bd2684
title: Absorbed soil nutrients on ion exchange membranes in the reciprocal transplant gardens at Toolik Lake, Coldfoot, and Sagwon in 2016

description: At the reciprocal transplant gardens (CF, TL, SG), ion exchange membranes were used to measure nutrient availability over two time periods: Early season (June) and mid season (July). Membranes were deployed in the field for either 20 or 21 days, depending on travel constraints.
DOI: 10.6073/pasta/fdf6574d14d8fdd178a9450e057a2021
title: Eriophorum vaginatum flowers and mass per tiller in tussock tundra sites along the Dalton Highway, Alaska  2016

description: These measurements repeat the measurements made by Shaver et al. (1986) along the Dalton Highway at some of the same sites.
Shaver, G. R., N. Fetcher, and F. S. Chapin III. 1986. Growth and flowering in Eriophorum vaginatum: Annual and latitudinal variation.  Ecology 67:1524-1535.
DOI: 10.5281/zenodo.8262572
title: Data_Discrimination between the effects of pulsed electrical stimulation and electrochemically conditioned medium on human osteoblasts

description: This publication contains the original data supporting our results concerning the application of biphasic pulsed electrical stimulation on MG-63 cells. We aim to discriminate between effects of the electric field and electrochemically conditioned medium. The dataset consists of the original output files, excel sheets to consolidate the information for the experiments as well as Readme.txt files with most important information concerning the data. For additional information on the material and methods as well as results see the corresponding research article.
description: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), grant number SFB ELAINE, 1270/1,2-299150580. We also acknowledge the funding from Atracciónde Talento Programme, Modalidad-1 Ref. 2019-T1/IND-1335 and the grant PID2021-128611OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe.
DOI: 10.5281/zenodo.8262571
title: Data_Discrimination between the effects of pulsed electrical stimulation and electrochemically conditioned medium on human osteoblasts

description: This publication contains the original data supporting our results concerning the application of biphasic pulsed electrical stimulation on MG-63 cells. We aim to discriminate between effects of the electric field and electrochemically conditioned medium. The dataset consists of the original output files, excel sheets to consolidate the information for the experiments as well as Readme.txt files with most important information concerning the data. For additional information on the material and methods as well as results see the corresponding research article.
description: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), grant number SFB ELAINE, 1270/1,2-299150580. We also acknowledge the funding from Atracciónde Talento Programme, Modalidad-1 Ref. 2019-T1/IND-1335 and the grant PID2021-128611OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe.
DOI: 10.57745/bduxef
title: References.docx

description: List of all references used in the table "sidestream_data"
DOI: 10.57745/dkzkzy
title: Data_column_description.docx

description: description of the columns and the organisation of the table "sidestream_data"
DOI: 10.57745/ko2gge
title: sidestream_data.tab

description: Table containing all sidestream data
DOI: 10.57745/tcnpkr
title: Data_column_description.docx

description: description of the columns and the organisation of the table "sidestream_data"
DOI: 10.57745/yvhs1d
title: Dataset_description.docx

description: This document describes the dataset organisation, the method for data collection and the value of the data.
DOI: 10.5281/zenodo.7755707
title: Dataset For "Nyiragongo crater collapses measured by multi-sensor SAR amplitude time series"

description: This archive contains the input ant results files used with PickCraterSAR for publication "Nyiragongo crater collapses measured by multi-sensor SAR amplitude time series" submitted to JGR-SE. It also contains crops of each amplitude images used in this study in ENVI format with corresponding headers. At least, it contains the ash index values derives from SEVIRI data analysis.
DOI: 10.5281/zenodo.7755706
title: Dataset For "Nyiragongo crater collapses measured by multi-sensor SAR amplitude time series"

description: This archive contains the input ant results files used with PickCraterSAR for publication "Nyiragongo crater collapses measured by multi-sensor SAR amplitude time series" submitted to JGR-SE. It also contains crops of each amplitude images used in this study in ENVI format with corresponding headers. At least, it contains the ash index values derives from SEVIRI data analysis.
DOI: 10.6084/m9.figshare.23786802
title: Sensitivity to Unobserved Confounding in Studies with Factor-Structured Outcomes

description: In this work, we propose an approach for assessing sensitivity to unobserved confounding in studies with multiple outcomes. We demonstrate how prior knowledge unique to the multi-outcome setting can be leveraged to strengthen causal conclusions beyond what can be achieved from analyzing individual outcomes in isolation. We argue that it is often reasonable to make a shared confounding assumption, under which residual dependence amongst outcomes can be used to simplify and sharpen sensitivity analyses. We focus on a class of factor models for which we can bound the causal effects for all outcomes conditional on a single sensitivity parameter that represents the fraction of treatment variance explained by unobserved confounders. We characterize how causal ignorance regions shrink under additional prior assumptions about the presence of null control outcomes, and provide new approaches for quantifying the robustness of causal effect estimates. Finally, we illustrate our sensitivity analysis workflow in practice, in an analysis of both simulated data and a case study with data from the National Health and Nutrition Examination Survey (NHANES). Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.23786802.v2
title: Sensitivity to Unobserved Confounding in Studies with Factor-Structured Outcomes

description: In this work, we propose an approach for assessing sensitivity to unobserved confounding in studies with multiple outcomes. We demonstrate how prior knowledge unique to the multi-outcome setting can be leveraged to strengthen causal conclusions beyond what can be achieved from analyzing individual outcomes in isolation. We argue that it is often reasonable to make a shared confounding assumption, under which residual dependence amongst outcomes can be used to simplify and sharpen sensitivity analyses. We focus on a class of factor models for which we can bound the causal effects for all outcomes conditional on a single sensitivity parameter that represents the fraction of treatment variance explained by unobserved confounders. We characterize how causal ignorance regions shrink under additional prior assumptions about the presence of null control outcomes, and provide new approaches for quantifying the robustness of causal effect estimates. Finally, we illustrate our sensitivity analysis workflow in practice, in an analysis of both simulated data and a case study with data from the National Health and Nutrition Examination Survey (NHANES). Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.23786802.v1
title: Sensitivity to Unobserved Confounding in Studies with Factor-structured Outcomes

description: In this work, we propose an approach for assessing sensitivity to unobserved confounding in studies with multiple outcomes. We demonstrate how prior knowledge unique to the multi-outcome setting can be leveraged to strengthen causal conclusions beyond what can be achieved from analyzing individual outcomes in isolation. We argue that it is often reasonable to make a shared confounding assumption, under which residual dependence amongst outcomes can be used to simplify and sharpen sensitivity analyses. We focus on a class of factor models for which we can bound the causal effects for all outcomes conditional on a single sensitivity parameter that represents the fraction of treatment variance explained by unobserved confounders. We characterize how causal ignorance regions shrink under additional prior assumptions about the presence of null control outcomes, and provide new approaches for quantifying the robustness of causal effect estimates. Finally, we illustrate our sensitivity analysis workflow in practice, in an analysis of both simulated data and a case study with data from the National Health and Nutrition Examination Survey (NHANES).
DOI: 10.6084/m9.figshare.24191292
title: Supplementary_material_1.xlsx

description: This dataset accompanies the pre-print "Benthic habitat mapping: A review of three decades of mapping biological patterns on the seafloor" submitted to EarthArXiv, which is currently under review in Estuarine Coastal and Shelf Science. It contains data from a quantitative review of 624 benthic habitat mapping studies, each of which present mapped results of benthic mapping initiatives.
DOI: 10.6084/m9.figshare.24191292.v1
title: Supplementary_material_1.xlsx

description: This dataset accompanies the pre-print "Benthic habitat mapping: A review of three decades of mapping biological patterns on the seafloor" submitted to EarthArXiv, which is currently under review in Estuarine Coastal and Shelf Science. It contains data from a quantitative review of 624 benthic habitat mapping studies, each of which present mapped results of benthic mapping initiatives.
DOI: 10.5281/zenodo.4498185
title: Is your OCR good enough? A comprehensive assessment of the impact of OCR quality on downstream tasks

description: Is an average OCR quality of 70% enough for my study? What OCR quality should we ask from external suppliers? Should we re-do the OCR of our collections to bring it from 80% to 85%? Libraries and researchers alike face the same dilemma in our times of textual abundance: when is OCR quality good enough? User access, scientific results and the investment of limited resources increasingly depend on answering this question. This project focuses on a comprehensive assessment of the impact of OCR quality in Dutch newspaper, journal and book collections, comparing it with published results for English and French. This is be done via <em>extrinsic evaluation</em>: assessing results from a set of representative downstream tasks, such as text classification or clustering. The ultimate goal of the project is to contribute guidelines detailing when OCR quality is to be considered good enough, in order to inform the development and use of textual collections. The datasets released here are described in this Wiki page. Please refer to the project's repository for more information.
DOI: 10.5281/zenodo.8376939
title: Dataset for "Built world parameters and the nesting habits of the European white stork: a case study of Segovia, Spain."

description: Dataset for "Built world parameters and the nesting habits of the European white stork: a case study of Segovia, Spain" covering nesting information of European white stork population in Segovia, Spain for 2021-2023.
DOI: 10.5281/zenodo.8376938
title: Dataset for "Built world parameters and the nesting habits of the European white stork: a case study of Segovia, Spain."

description: Dataset for "Built world parameters and the nesting habits of the European white stork: a case study of Segovia, Spain" covering nesting information of European white stork population in Segovia, Spain for 2021-2023.
DOI: 10.6084/m9.figshare.23709759
title: Figure 5

description: T cell responses detected using flow cytometry. Lung and spleen, PPE15-specific CD4+ and CD8+ T cell responses, expressing different cytokines are shown. Animals were left unvaccinated or vaccinated with either ChAdOx1.5Ag (intranasally) or ChAdOx1.5Ag-MVA.5Ag (intranasally-systemically).
DOI: 10.6084/m9.figshare.23709759.v1
title: Figure 5

description: T cell responses detected using flow cytometry. Lung and spleen, PPE15-specific CD4+ and CD8+ T cell responses, expressing different cytokines are shown. Animals were left unvaccinated or vaccinated with either ChAdOx1.5Ag (intranasally) or ChAdOx1.5Ag-MVA.5Ag (intranasally-systemically).
DOI: 10.6084/m9.figshare.23709759.v2
title: Figure 5

description: T cell responses detected using flow cytometry. Lung and spleen, PPE15-specific CD4+ and CD8+ T cell responses, expressing different cytokines are shown. Animals were left unvaccinated or vaccinated with either ChAdOx1.5Ag (intranasally) or ChAdOx1.5Ag-MVA.5Ag (intranasally-systemically).
DOI: 10.5281/zenodo.8376935
title: agave_angustifolia_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8376934
title: agave_angustifolia_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.18712/nsd-nsd2872-v5
title: Level of Living Survey on Working Conditions, 2019

description: Level of Living Survey on Working Conditions aims to map different working environment conditions among employees in Norway. The survey addresses topics such as connection to the workplace, physical, chemical and ergonomic work environment, psychosocial work environment, health problems and sick leave and opportunities for self-determination at work.
 
The Level of Living Survey on Working Conditions has been conducted 7 times before, in 1989, 1993, 1996, 2000, 2003, 2006, 2009, 2013 and 2016. Comparable data are also available for 1989 and 1993 based on working environment questions in the Working and Business Survey conducted by Statistics Norway those years. In order to be able to compare data with the previous years, the questions are largely formulated in the same way, and asked in the same way as in previous years. In this way, one can study development over time.
DOI: 10.5281/zenodo.8376997
title: annona_squamosa_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8376996
title: annona_squamosa_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.8377008
title: athanasiuswerke/Athanasius-Werke-I-7: Current status as of 31.08.2023

description: This release documents the state of the edition as of 31/08/2023, when Kyriakos Savvidis, the editor of all files in <code>data</code>, entered retirement. The project is still work-in-progress.
DOI: 10.5281/zenodo.8377009
title: athanasiuswerke/Athanasius-Werke-I-7: Current status as of 31.08.2023

description: This release documents the state of the edition as of 31/08/2023, when Kyriakos Savvidis, the editor of all files in <code>data</code>, entered retirement. The project is still work-in-progress.
DOI: 10.17864/1947.000497
title: Semi-structured interview data on valuers' perception of sustainability in the UK commercial property market

description: The data was collected as part of a PhD thesis titled: 'Valuers' perception of sustainability in the UK commercial property market'. Data was collected during December 2019 – March 2021 in the form of semi-structured interviews. Interviewees were interviewed either through video call, audio call or face to face.
DOI: 10.6084/m9.figshare.22396054
title: synthetic_alerts

description: Synthetic alerts.
DOI: 10.6084/m9.figshare.22396057
title: synthetic_transactions

description: Synthetic transactions.
DOI: 10.6084/m9.figshare.22396057.v1
title: synthetic_transactions

description: Synthetic transactions.
DOI: 10.5281/zenodo.7572148
title: Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations"

description: Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations", accepted for publication in Atmospheric Chemistry and Physics, 2023, same authors.<br> The simulations were done using MIMICA version4 (Savre at el., 2014) and the data includes all model output presented in the publication.
description: One file per model run, with all relevant variables respectively. F23-repr and STD-repr are the representative runs for these model setups. F23-1,2,… and STD-1,2,… are the other ensemble member runs for the F23 and STD setup. All other runs have the same name as in the publication. Note that variables with their name ending on "_all_t" are spatially averaged profiles for all time steps (it means that the same run also has the time-averaged profile of the same variable).
description: {"references": ["Savre, J., Ekman, A.M.L., & Svensson, G. (2014). Technical note: Introduction to MIMICA, a large-eddy simulation solver for cloudy planetary boundary layers. Journal of Advances in Modeling Earth Systems, 6, 630-649. doi:10.1002/2013MS000292"]}
DOI: 10.5281/zenodo.7572147
title: Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations"

description: Model output from "The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations", accepted for publication in Atmospheric Chemistry and Physics, 2023, same authors.<br> The simulations were done using MIMICA version4 (Savre at el., 2014) and the data includes all model output presented in the publication.
description: One file per model run, with all relevant variables respectively. F23-repr and STD-repr are the representative runs for these model setups. F23-1,2,… and STD-1,2,… are the other ensemble member runs for the F23 and STD setup. All other runs have the same name as in the publication. Note that variables with their name ending on "_all_t" are spatially averaged profiles for all time steps (it means that the same run also has the time-averaged profile of the same variable).
description: {"references": ["Savre, J., Ekman, A.M.L., & Svensson, G. (2014). Technical note: Introduction to MIMICA, a large-eddy simulation solver for cloudy planetary boundary layers. Journal of Advances in Modeling Earth Systems, 6, 630-649. doi:10.1002/2013MS000292"]}
DOI: 10.6084/m9.figshare.24192004
title: High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling

description: Vector autoregressive (VAR) models are popularly adopted for modeling high-dimensional time series, and their piecewise extensions allow for structural changes in the data. In VAR modeling, the number of parameters grow quadratically with the dimensionality which necessitates the sparsity assumption in high dimensions. However, it is debatable whether such an assumption is adequate for handling datasets exhibiting strong serial and cross-sectional correlations. We propose a piecewise stationary time series model that simultaneously allows for strong correlations as well as structural changes, where pervasive serial and cross-sectional correlations are accounted for by a time-varying factor structure, and any remaining idiosyncratic dependence between the variables is handled by a piecewise stationary VAR model. We propose an accompanying two-stage data segmentation methodology which fully addresses the challenges arising from the latency of the component processes. Its consistency in estimating both the total number and the locations of the change points in the latent components, is established under conditions considerably more general than those in the existing literature. We demonstrate the competitive performance of the proposed methodology on simulated datasets and an application to U.S. blue chip stocks data. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24192004.v1
title: High-Dimensional Time Series Segmentation via Factor-Adjusted Vector Autoregressive Modeling

description: Vector autoregressive (VAR) models are popularly adopted for modeling high-dimensional time series, and their piecewise extensions allow for structural changes in the data. In VAR modeling, the number of parameters grow quadratically with the dimensionality which necessitates the sparsity assumption in high dimensions. However, it is debatable whether such an assumption is adequate for handling datasets exhibiting strong serial and cross-sectional correlations. We propose a piecewise stationary time series model that simultaneously allows for strong correlations as well as structural changes, where pervasive serial and cross-sectional correlations are accounted for by a time-varying factor structure, and any remaining idiosyncratic dependence between the variables is handled by a piecewise stationary VAR model. We propose an accompanying two-stage data segmentation methodology which fully addresses the challenges arising from the latency of the component processes. Its consistency in estimating both the total number and the locations of the change points in the latent components, is established under conditions considerably more general than those in the existing literature. We demonstrate the competitive performance of the proposed methodology on simulated datasets and an application to U.S. blue chip stocks data. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.8377067
title: Software performance comparison traces

description: Traces we used as our case studies for our open-source application called DtraComp.
DOI: 10.5281/zenodo.8377066
title: Software performance comparison traces

description: Traces we used as our case studies for our open-source application called DtraComp.
DOI: 10.6084/m9.figshare.22763072
title: Global clustered GDPpc

description: This dataset provides a globally clustered GDPpc with respect to the six classes. The shape file presents a range of zones with clustered values, regardless of the geographical administrative areas.
DOI: 10.6084/m9.figshare.22763072.v1
title: Global clustered GDPpc

description: This dataset provides a globally clustered GDPpc with respect to the six classes. The shape file presents a range of zones with clustered values, regardless of the geographical administrative areas.
DOI: 10.6084/m9.figshare.22763075
title: Global clustered GDPpc

description: This dataset provides a globally clustered GDPpc with respect to the six classes. The shape file presents a range of zones with clustered values, regardless of the geographical administrative areas.
DOI: 10.6084/m9.figshare.22763075.v1
title: Global clustered GDPpc

description: This dataset provides a globally clustered GDPpc with respect to the six classes. The shape file presents a range of zones with clustered values, regardless of the geographical administrative areas.