cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5359262
title: Modelled isoscape data for: "Oceanographic and biogeochemical drivers cause divergent trends in the nitrogen isoscape in a changing Arctic Ocean"

description: The data included in this repository includes the biogeochemical model output of nitrogen isotope fields. These data were generated by simulations with the NEMOv4.0 Ocean General Circulation Model, SI3 sea ice model, and Pelagic Interactions Scheme for Carbon and Ecosystem Studies version 2 (PISCESv2) biogeochemical model. Nitrogen isotopes were integrated within PISCESv2 for the purpoes of this study. All data here are in longitude, latitude and time cordinates. No depth coordinate is provided as all values are averaged over the upper 100 metres of the model. The file names mean the following:<br> ETOPO - refers to how the curvilinear, native grid of the model was re-gridded to a regular 360x180 longitude-latitude grid uisng the etopo60 coordinate system. JRA55 - these are the reanalysis-driven simulations, for which we used the Japanese Atmospheric Reanalysis (JRA55do). future - these are the emissions-driven simulations (historical from 1850-2005, then according to Representative Concentration Pathway 8.5 from 2006-2100.) picontrol - these are parallel to the emissions-driven simulations but do not include the increase in emissions. ndep - refers to if the historical increase in anthropogenic nitrogen deposition was included in the simulation d15Nno3 - isotopic composition of nitrate averaged over the upper 100 metres d15Npom - isotopic composition of particulate organic matter averaged over the upper 100 metres predictors - the average values of salinity, N* and particulate organic matter over the upper 100 metres annualave - annual averages, so that the data are inter-annual 1970-1990ave_months - average monthy values over the period 1970-1990.
DOI: 10.20375/0000-000e-67ed-4
title: Text+ User Stories Data

description: The dataset contains annotations and metadata about the user stories received for the application of the Text+ consortium in 2020. The data was used for analysis of the report "Community Involvement in Research Infrastructures: The User Story Call for Text+" published at the NFDI community in Zenodo.
DOI: 10.20375/0000-000e-67ee-3
title: keywords_public.tsv

description: Table with the keywords and the categories that were assigned.
DOI: 10.20375/0000-000e-67ef-2
title: user_stories_data_public.tsv

description: Table with all the user stories as rows, and the metadata and annotations about them as columns.
DOI: 10.20375/0000-000e-67f0-f
title: Text+ User Stories Data

description: The dataset contains annotations and metadata about the user stories received for the application of the Text+ consortium in 2020. The data was used for analysis of the report "Community Involvement in Research Infrastructures: The User Story Call for Text+" published at the NFDI community in Zenodo.
DOI: 10.20375/0000-000e-67f1-e
title: keywords_public.tsv

description: Table with the keywords and the categories that were assigned.
DOI: 10.20375/0000-000e-67f2-d
title: user_stories_data_public.tsv

description: Table with all the user stories as rows, and the metadata and annotations about them as columns.
DOI: 10.25625/stbsdr/tuns74
title: Azhar et al parasitoid wasps_six families combined_richness abundance diversity.tab

description: :unav
DOI: 10.5281/zenodo.5359402
title: The glosses to the first book of the Etymologiae of Isidore of Seville: raw data

description: This excel file contains the raw data behind the digital scholarly edition of the glosses to the first book of the <em>Etymologiae</em> of Isidore of Seville published at: https://db.innovatingknowledge.nl/edition
description: This data was collected as a part of Innovating Knowledge project funded by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (VENI project 275-50-016)
DOI: 10.6084/m9.figshare.14604567
title: Penarth tracks dataset

description: Photogrammetric data for Penarth Triassic Tracks.<br>Falkingham et al <b>Late Triassic dinosaur tracks from Penarth, South Wales. Geological Magazine</b><b></b><br>Includes: Photo set recorded in 2009Photo set recorded in 2020 (in two zip files)Digital model of the site in 2020 (obj, mtl, jpg)Digital model of the site in 2009 (obj, mtl, jpg)Rendered video of the digital model from 2020Panorama images stitched together from 2009 photos.2 images of gypsum nodules in depressions of a similar size to the tracks (Courtesy of Chris Berry, Cardiff University):<br>--tracks and gypsum.JPG: Main bedding surface to left, and underlying bed where similarly sized and spaced impressions are associated with gypsum nodules. Scale bar 1m.<br>--Gypsum nodules 1.JPG: Lower bedding surface showing rimmed impressions lined with gypsum. Scale bar 50 cm.<br>
DOI: 10.48370/ofd/p93jwm
title: Przetacznik trójlistkowy (Veronica triphyllos L.), 9351

description: Herbarium
DOI: 10.6084/m9.figshare.16553379
title: ADEON AR049 Fine Scale Acoustic Survey (FSAS) binned into cells of 100 m horizontal and 5 m vertical.

description: ADEON Fine Scale Acoustic Survey (FSAS) binned into cells of 100 m horizontal and 5 m vertical. <br> t fine-scale (roughly 10 km by 10 km) multi-frequency acoustic surveys at each site (Figure 2). At each survey site except for CHB (due to time constraints) and VAC (due to the lander there being previously trawled up), a fine-scale acoustic grid was conducted at a speed of 8 kn. Survey lines were adjusted for the direction of the sea state.<br>This dataset has a readme file. See adeon.unh.edu for more details.
DOI: 10.6084/m9.figshare.16553379.v1
title: ADEON AR049 Fine Scale Acoustic Survey (FSAS) binned into cells of 100 m horizontal and 5 m vertical.

description: ADEON Fine Scale Acoustic Survey (FSAS) binned into cells of 100 m horizontal and 5 m vertical. <br> t fine-scale (roughly 10 km by 10 km) multi-frequency acoustic surveys at each site (Figure 2). At each survey site except for CHB (due to time constraints) and VAC (due to the lander there being previously trawled up), a fine-scale acoustic grid was conducted at a speed of 8 kn. Survey lines were adjusted for the direction of the sea state.<br>This dataset has a readme file. See adeon.unh.edu for more details.
DOI: 10.15129/11b5e56b-a257-43b2-baa1-189fef66f1fb
title: Data for: "Ultrasonic activation of microbubbles in 3D-printed microchannels: experimental demonstration of wall influence in microbubble acoustic backscattering in physiologically-relevant environments"

description: Dataset for the journal paper entitled 'Ultrasonic activation of microbubbles in 3D-printed microchannels: experimental demonstration of wall influence in microbubble acoustic backscattering in physiologically-relevant environments', to be submitted in the journal IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency.
DOI: 10.5281/zenodo.5184844
title: The Role of Sense of Coherence during the COVID-19 Crisis

description: Longitudinal data on university students' stressors, wellbeing, and sense of coherence during the COVID-19 crisis, accompanying a manuscript (in press). Data collection took place between July 8th and August 29th, 2020 (T1), and between November 23rd and December 21st, 2020 (T2). The sample consists of German-speaking university students, recruited at Innsbruck Universities. Used scales: <br> Wellbeing WHO-5 (Bech, 1999, https://doi.org/10.1034/j.1399-6576.1999.430906.x), Geman version (Brähler, Mühlan, Albani, & Schmidt, 2007, https://doi.org/10.1026/0012-1924.53.2.83)<br> Sense of Coherence, 13 item scale (Singer & Brähler, 2007)
DOI: 10.6084/m9.figshare.14751753.v1
title: ARCTIC MARINE FOREST DISTRIBUTION MODELS SHOWCASE SEVERE NET LOSSES AND TEMPERATE SUCCESSION UNDER CLIMATE CHANGE

description: Our main objective was to investigate potential gains and losses in northern hemisphere marine forest habitat along temperate and Arctic coastlines under different climate change scenarios. In particular, we sought to investigate anticipated responses according to three ecosystem distribution categories: marine forests restricted to the Arctic (i.e. oceanic benthic waters with a mean average annual temperature of ca. &lt;5oC), widely distributed species occurring in temperate and Arctic waters, and species restricted to cold and warm temperate waters with no current range in the Arctic. <br>The datasets provided here include the occurrence records for training models, area calculations for both threshold and probabilistic predictions for each species and each climate change scenario, and the maxent predictions for each species, including the stacked predictions, and for each climate change scenario.<br><br>For threshold predictions, yellow=occurrence, blue=no occurrence. For probabilistic predictions, pink-&gt;blue-&gt;green-&gt;orange-&gt;red refers to 1.0-&gt;0 probability of occurrence.
DOI: 10.5517/ccdc.csd.cc248ss0
title: CCDC 1974662: Experimental Crystal Structure Determination

description: Related Article: Yuanhong Shu, Kaiqi Ye, Yuan Yue, Jingbo Sun, Haoran Wang, Jiangbin Zhong, Xiqiao Yang, Hongqiang Gao, Ran Lu|2021|CrystEngComm|23|5856|doi:10.1039/D1CE00086A
DOI: 10.5517/ccdc.csd.cc248sy5
title: CCDC 1974667: Experimental Crystal Structure Determination

description: Related Article: Yuanhong Shu, Kaiqi Ye, Yuan Yue, Jingbo Sun, Haoran Wang, Jiangbin Zhong, Xiqiao Yang, Hongqiang Gao, Ran Lu|2021|CrystEngComm|23|5856|doi:10.1039/D1CE00086A
DOI: 10.5517/ccdc.csd.cc248t19
title: CCDC 1974670: Experimental Crystal Structure Determination

description: Related Article: Yuanhong Shu, Kaiqi Ye, Yuan Yue, Jingbo Sun, Haoran Wang, Jiangbin Zhong, Xiqiao Yang, Hongqiang Gao, Ran Lu|2021|CrystEngComm|23|5856|doi:10.1039/D1CE00086A
DOI: 10.5517/ccdc.csd.cc248tqz
title: CCDC 1974691: Experimental Crystal Structure Determination

description: Related Article: Yuanhong Shu, Kaiqi Ye, Yuan Yue, Jingbo Sun, Haoran Wang, Jiangbin Zhong, Xiqiao Yang, Hongqiang Gao, Ran Lu|2021|CrystEngComm|23|5856|doi:10.1039/D1CE00086A
DOI: 10.34740/kaggle/dsv/2578397
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5359974
title: Data related to unpublished manuscript by Marushchak et al., titled Thawing Yedoma permafrost as a neglected nitrous oxide source

description: Data on nitrous oxide (N<sub>2</sub>O) fluxes with related process, soil and microbial data from two thawing Yedoma exposures in Northeast Siberia. Metadata: Study site 1:Kurungnakh<br> Location 1:N 72°20', E 126°17'<br> Study site 2:Duvanny Yar<br> Location 2:68°38' N, 159°09' E<br> Contact:Maija Marushchak (maija.marushchak@uef.fi); Christina Biasi (christina.biasi@uef.fi)<br> Ecosystem type:Yedoma exposure; retrogressive permafrost thaw slump<br> Duration:July 2016, July 2017<br> Data creation date:1 September 2021<br> File origin:Created at University of Eastern Finland/University of Jyväskylä by Maija Marushchak (maija.marushchak@uef.fi)<br> Data policy:Kindly inform Maija Marushchak and Christina Biasi if you are going to use the data and of any publication plans.<br> If they think that they should be acknowledged or offered participation as authors they will let you know. <br> <br> <br> <br> <br> <br> <br> <br> <br> <br> This research is supported by the Academy of Finland project Yedoma-N (decision no. 287469) and the joint project of the Academy of Finland and the Russian Foundation for Basic Research NOCA (decision no. 314630).<br> Questions about this file should be addressed to Maija Marushchak (maija.marushchak@uef.fi).
DOI: 10.6084/m9.figshare.16553426
title: Bagged filters for partially observed interacting systems

description: Bagging (i.e., bootstrap aggregating) involves combining an ensemble of bootstrap estimators. We consider bagging for inference from noisy or incomplete measurements on a collection of interacting stochastic dynamic systems. Each system is called a unit, and each unit is associated with a spatial location. A motivating example arises in epidemiology, where each unit is a city: the majority of transmission occurs within a city, with smaller yet epidemiologically important interactions arising from disease transmission between cities. Monte Carlo filtering methods used for inference on nonlinear non-Gaussian systems can suffer from a curse of dimensionality as the number of units increases. We introduce bagged filter (BF) methodology which combines an ensemble of Monte Carlo filters, using spatiotemporally localized weights to select successful filters at each unit and time. We obtain conditions under which likelihood evaluation using a BF algorithm can beat a curse of dimensionality, and we demonstrate applicability even when these conditions do not hold. BF can out-perform an ensemble Kalman filter on a coupled population dynamics model describing infectious disease transmission. A block particle filter also performs well on this task, though the bagged filter respects smoothness and conservation laws that a block particle filter can violate.
DOI: 10.6084/m9.figshare.16553426.v1
title: Bagged filters for partially observed interacting systems

description: Bagging (i.e., bootstrap aggregating) involves combining an ensemble of bootstrap estimators. We consider bagging for inference from noisy or incomplete measurements on a collection of interacting stochastic dynamic systems. Each system is called a unit, and each unit is associated with a spatial location. A motivating example arises in epidemiology, where each unit is a city: the majority of transmission occurs within a city, with smaller yet epidemiologically important interactions arising from disease transmission between cities. Monte Carlo filtering methods used for inference on nonlinear non-Gaussian systems can suffer from a curse of dimensionality as the number of units increases. We introduce bagged filter (BF) methodology which combines an ensemble of Monte Carlo filters, using spatiotemporally localized weights to select successful filters at each unit and time. We obtain conditions under which likelihood evaluation using a BF algorithm can beat a curse of dimensionality, and we demonstrate applicability even when these conditions do not hold. BF can out-perform an ensemble Kalman filter on a coupled population dynamics model describing infectious disease transmission. A block particle filter also performs well on this task, though the bagged filter respects smoothness and conservation laws that a block particle filter can violate.
DOI: 10.34703/gzx1-9v95/8e8cli/jpprba
title: AppendixD.pdf

description: PCFs
DOI: 10.34703/gzx1-9v95/8e8cli/xon4pi
title: AppendixF.pdf

description: Comments on Additional Species
DOI: 10.34703/gzx1-9v95/8e8cli/3gkdzo
title: AppendixE.pdf

description: Nativity
DOI: 10.34703/gzx1-9v95/8e8cli/kdfqpq
title: AppendixC.pdf

description: Numbers
DOI: 10.34703/gzx1-9v95/8e8cli/bfibq7
title: Table Collectors of south Florida pine rockland plants.docx

description: All collectors encountered in our sample and the numbers of specimens they collected
DOI: 10.34703/gzx1-9v95/8e8cli
title: Supplemental Appendices for "A Historical Floristic Inventory of Pine Rockland Fabaceae"

description: Editors would not accept all appendices, so we make them available here.
DOI: 10.5281/zenodo.5018311
title: Visual-inertial input datasets for SLAM applications containing extreme motions

description: Recorded datasets in compressed rosbag format, which contain visual and IMU sensor information that are bearing high resemblance to the movement of a human player with a handheld AR-capable device.
DOI: 10.5281/zenodo.5357597
title: SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing

description: This upload contains the software prototype, data, analysis scripts, and replication scripts for the paper "SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing" (ACM/IFIP Middleware 2021). With our artifact we provide the following components: <code>serverless-benchmarks</code> - source code of the benchmark suite <code>data</code> - benchmarking results obtained for the paper <code>analysis</code> - Python plotting and analysis scripts used for data analysis <code>experiments</code> - scripts helping to reproduce the experiments <code>docker</code> - compressed Docker images that were used for our experiments. Our data has been obtained in January 2020, July and August 2020, and November 2020.
DOI: 10.5281/zenodo.5209000
title: SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing

description: This upload contains the software prototype, data, analysis scripts, and replication scripts for the paper "SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing" (ACM/IFIP Middleware 2021). With our artifact we provide the following components: <code>serverless-benchmarks</code> - source code of the benchmark suite <code>data</code> - benchmarking results obtained for the paper <code>analysis</code> - Python plotting and analysis scripts used for data analysis <code>experiments</code> - scripts helping to reproduce the experiments <code>docker</code> - compressed Docker images that were used for our experiments. Our data has been obtained in January 2020, July and August 2020, and November 2020.
DOI: 10.5066/p9b3bqow
title: Reach-scale estimates of nutrient, water use, dissolved oxygen, and pH conditions in the Pacific drainages of the United States

description: This data release contains data sets that describe reach-scale water-quality conditions for the Pacific drainages of the United States. The nutrient and water use conditions represent the predictions from recent USGS SPARROW (Spatially Related Regression on Watershed Attributes) modeling as well as other watershed attributes. The SPARROW predictions and other watershed attributes were also used as predictors of dissolved oxygen and pH conditions in multiple linear regression models.
DOI: 10.5281/zenodo.5360451
title: Prider testing data and code

description: The FASTA file sets and the R script used for the testing of the processing time of R package Prider.
DOI: 10.5281/zenodo.5360450
title: Prider testing data and code

description: The FASTA file sets and the R script used for the testing of the processing time of R package Prider.
DOI: 10.3886/e138701v1-95340
title: Data and Code for: “The Challenges of Universal Health Insurance in Developing Countries: Experimental Evidence from Indonesia’s National Health Insurance”

description: To investigate barriers to universal health insurance in developing countries, we designed a randomized experiment involving about 6,000 households in Indonesia who are subject to a government health insurance program with a weakly enforced mandate. Time-limited subsidies increased enrollment and attracted lower-cost enrollees, in part by reducing the strategic timing of enrollment to correspond with health needs. Registration assistance also increased enrollment, but increased attempted enrollment much more, as over half of households who attempted to enroll did not successfully do so. These findings underscore how weak administrative capacity can create important challenges in developing countries for achieving widespread coverage.
description: Non-poor informal households without health insurance.
DOI: 10.5281/zenodo.5360971
title: Photos_sesame

description: Photos of sesame wild relative seed
DOI: 10.5281/zenodo.5360970
title: Photos_sesame

description: Photos of sesame wild relative seed
DOI: 10.6084/m9.figshare.14994954.v1
title: Multivariate Temporal Point Process Regression

description: Point process modeling is gaining increasing attention, as point process type data are emerging in a large variety of scientific applications. In this article, motivated by a neuronal spike trains study, we propose a novel point process regression model, where both the response and the predictor can be a high-dimensional point process. We model the predictor effects through the conditional intensities using a set of basis transferring functions in a convolutional fashion. We organize the corresponding transferring coefficients in the form of a three-way tensor, then impose the low-rank, sparsity, and subgroup structures on this coefficient tensor. These structures help reduce the dimensionality, integrate information across different individual processes, and facilitate the interpretation. We develop a highly scalable optimization algorithm for parameter estimation. We derive the large sample error bound for the recovered coefficient tensor, and establish the subgroup identification consistency, while allowing the dimension of the multivariate point process to diverge. We demonstrate the efficacy of our method through both simulations and a cross-area neuronal spike trains analysis in a sensory cortex study.
DOI: 10.6084/m9.figshare.9724790
title: Decomposition heuristics for parallel-machine multiple orders per job scheduling problems with a common due date

description: Scheduling problems for identical parallel machines with earliness-tardiness objective are studied that are motivated by manufacturing processes in 300-mm wafer fabs. Wafers are transferred by front opening unified pods (FOUPs) in such fabs. Only a limited number of FOUPs is allowed since a large number of FOUPs results in a highly congested automated material handling system. A FOUP can contain a group of orders. A nonrestrictive common due date is assumed for all orders. Only orders of the same family can be grouped together in a FOUP. The lot and the item processing mode are differentiated in this article. Mixed integer linear programming (MILP) models are provided for both modes. It is shown that the two scheduling problems are NP-hard. Simple decomposition heuristics based on list scheduling and bin packing procedures are proposed. Biased random-key genetic algorithm (BRKGA)-based decomposition schemes are designed for the two scheduling problems. The BRKGAs are hybridised with the simple heuristics and an integer programming-based job formation approach in the lot processing mode. Results of computational experiments based on randomly generated problem instances are analysed and discussed for both scheduling problems. The results show that the proposed heuristics perform well with respect to solution quality and computing time. The BRKGA-type approaches clearly outperform the other heuristics.
DOI: 10.6084/m9.figshare.9724790.v1
title: Decomposition heuristics for parallel-machine multiple orders per job scheduling problems with a common due date

description: Scheduling problems for identical parallel machines with earliness-tardiness objective are studied that are motivated by manufacturing processes in 300-mm wafer fabs. Wafers are transferred by front opening unified pods (FOUPs) in such fabs. Only a limited number of FOUPs is allowed since a large number of FOUPs results in a highly congested automated material handling system. A FOUP can contain a group of orders. A nonrestrictive common due date is assumed for all orders. Only orders of the same family can be grouped together in a FOUP. The lot and the item processing mode are differentiated in this article. Mixed integer linear programming (MILP) models are provided for both modes. It is shown that the two scheduling problems are NP-hard. Simple decomposition heuristics based on list scheduling and bin packing procedures are proposed. Biased random-key genetic algorithm (BRKGA)-based decomposition schemes are designed for the two scheduling problems. The BRKGAs are hybridised with the simple heuristics and an integer programming-based job formation approach in the lot processing mode. Results of computational experiments based on randomly generated problem instances are analysed and discussed for both scheduling problems. The results show that the proposed heuristics perform well with respect to solution quality and computing time. The BRKGA-type approaches clearly outperform the other heuristics.