cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5907185
title: Dataset for "Strong dispersion property for the quantum walk on the hypercube"

description: Dataset for <em>Figure 1</em> and <em>Figure 2</em> presented in "Strong dispersion property for the quantum walk on the hypercube" (preprint available at arxiv.org/abs/2201.11735). The rows of <em>data.csv</em> file contain the calculated quantities related to the quantum walk on the hypercube: the first row is the maximum probability of a vertex during a walk on the 50-dimensional hypercube; the second row contains the number of steps to minimize the aforementioned probability for various <em>n</em>; the third row is the maximum probability of a vertex after approximately 0.849<em>n</em> steps, for various <em>n</em>; the fourth row is the probability of the walker to be at the 0<em><sup>n</sup></em> vertex (<em>n</em>=50) during a walk on the 50-dimensional hypercube. The rows of <em>aux.csv</em> contain auxiliary data needed to plot the figures: the first row contains the integers 0 to 199 and corresponds to the variable '<em>t</em>' in Figure 1; the second row contains the integers from 1 to 200 and corresponds to the variable '<em>n</em>' in Figure 2; the third row is the value of the linear function -0.754 + 0.849*<em>n</em>, depicted in the upper panel of Figure 2; the fourth row is the value of the function 5*1.93^(-<em>n</em>), depicted in the lower panel of Figure 2. To generate the figures, the following Matlab commands may be used (after loading the CSV files into variables <em>aux</em> and <em>data</em>): <pre><code>figure; scatter(aux(1,:),data(1,:),15); set(gca,'YScale','log') % F1: upper figure; scatter(aux(1,1:2:end),data(1,1:2:end),15); hold on; scatter(aux(1,:),data(4,:),15,'s'); hold off; set(gca,'YScale','log') % F1: lower figure; scatter(aux(2,:),data(2,:),15); hold on; plot(aux(2,:),aux(3,:)); xlim([0,100]);hold off; %F2: upper figure; scatter(aux(2,:),data(3,:),15);set(gca,'YScale','log'); hold on; semilogy(aux(2,:), aux(4,:));hold off; xlim([0,100]); %F2: lower</code></pre>
description: This work has been supported by Latvian Council of Science (project no. lzp-2018/1-0173) and the ERDF project 1.1.1.5/18/A/020.
DOI: 10.6084/m9.figshare.21781622
title: Supporting information data files and R-script

description: This data package contains data files and R-script for: <br> <strong>Temperature moderates eDNA-biomass relationships in northern pike</strong> <br> *Ogonowski<sup>1</sup>, M., Karlsson<sup>1</sup>, E., Vasemägi<sup>1,2</sup>, A., Sundin1, J., Bohman<sup>1</sup>, P. , Sundblad<sup>1</sup>, G. <br> <sup>1</sup>Department of Aquatic Resources, Institute of Freshwater Research, Swedish University of Agricultural Sciences, Stångholmsvägen 2, SE-17893, Drottningholm, Sweden <br> <sup>2</sup>Chair of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Kreutzwaldi 46, 51006, Tartu, Estonia <br> Corresponding author: martin.ogonowski@slu.se
DOI: 10.6084/m9.figshare.21781622.v1
title: Supporting information data files and R-script

description: This data package contains data files and R-script for: <br> <strong>Temperature moderates eDNA-biomass relationships in northern pike</strong> <br> *Ogonowski<sup>1</sup>, M., Karlsson<sup>1</sup>, E., Vasemägi<sup>1,2</sup>, A., Sundin1, J., Bohman<sup>1</sup>, P. , Sundblad<sup>1</sup>, G. <br> <sup>1</sup>Department of Aquatic Resources, Institute of Freshwater Research, Swedish University of Agricultural Sciences, Stångholmsvägen 2, SE-17893, Drottningholm, Sweden <br> <sup>2</sup>Chair of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Kreutzwaldi 46, 51006, Tartu, Estonia <br> Corresponding author: martin.ogonowski@slu.se
DOI: 10.17632/jwdwvyyj2w.2
title: Q. rubra seedling traits

description: Limited evidence that larger acorns buffer Quercus rubra seedlings from density dependent biotic stressors
DOI: 10.25581/spruce.088/1775142
title: SPRUCE Outflow Chemistry Data for Experimental Plots Beginning in 2016

description: This data set includes the chemistry of outflow waters in the SPRUCE experiment plots located in the S1 bog of the USDA Forest Service Marcell Experimental Forest (MEF) in northern Minnesota, 40 km north of Grand Rapids. These data are post-treatment data from the warming and elevated carbon dioxide (CO2) treatments associated with the SPRUCE experiment. There are ten experimental plots in SPRUCE: five temperature treatments (+0, +2.25, +4.5, +6.75, +9°C) at ambient CO2, and the same five temperature treatments at elevated CO2 (+500 ppm). Sample collection and analyses started in March of 2016 and will continue for the duration of the experiment. Samples were analyzed for pH, specific conductivity, anion concentrations (chloride, sulfate), cation concentrations (calcium, potassium, magnesium, sodium, aluminum, iron, manganese, silicon, strontium), nutrient concentrations (ammonium, nitrate, soluble reactive phosphorus, total nitrogen, total phosphorus), and total organic carbon (TOC) concentrations. Subsets of the samples have been analyzed for natural-abundance stable isotopes of water (δ18O-H2O and δD-H2O), dissolved carbon dioxide (δ13C-CO2), and dissolved methane (δ13C-CH4), and concentrations of total mercury (Thg), methylmercury (MeHg), ferrous iron (Fe2+), ferric iron (Fe3+), dissolved inorganic carbon (DIC), and dissolved methane (CH4).
DOI: 10.3886/e119157v1
title: Code for: Do People Respond to the Mortgage Interest Deduction? Quasi-Experimental Evidence from Denmark

description: Using a major reform which scaled back the mortgage interest deduction for middle- and high-income households in Denmark, we study how tax subsidies affect housing decisions. We present four main findings. First, the mortgage deduction has a precisely estimated zero effect on homeownership for high- and middle-income households. Second, the mortgage deduc- tion has a clear effect on housing demand at the intensive margin, inducing homeowners to buy larger and more expensive houses. Third, the deduction has sizeable effects on household financial decisions, inducing them to increase indebtedness. Finally, the reduction of the tax subsidy lowered equilibrium house prices.
description: The population of Denmark, age 20-80. .
DOI: 10.6073/pasta/75646a3bd41ba3219d0e578e8374eef7
title: Marcell Experimental Forest daily precipitation, 1961 - ongoing

description: This data publication contains daily precipitation data collected from 1961-ongoing at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota, which is operated and maintained by the USDA Forest Service, Northern Research Station. The data come from seven peatland watersheds instrumented for hydrologic monitoring.
DOI: 10.6073/pasta/d7d5a29015ede8f226166064bc41cb87
title: Marcell Experimental Forest porewater chemistry at the S2 catchment, 2009 - ongoing

description: This data set reports surface and porewater chemistry from the bog and lagg of the S2 peatland at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota. Lagg porewaters have been collected weekly from shallow depth samplers (0-10 cm) at two sites, 2009 to ongoing. Bog porewaters have been collected weekly or biweekly from shallow depth samplers (0-10 cm) at three sites from 2010 to ongoing. Bog waters have been collected monthly at multiple depths (0, 30, 50, 100, and ~200 cm) at three piezometers nests from 2014 to ongoing. Lagg and bog surface or porewaters were synoptically collected from up to 40 and 13 sites (0-10 cm depth), respectively, multiple times from 2009 to 2014. Samples have never been collected when samplers were frozen (typically November to May). Samples are measured for pH, specific conductivity, anions (chloride, sulfate), cations (calcium, magnesium, potassium, sodium, aluminum, iron, manganese, strontium), silicon, nutrients (ammonium, nitrate, soluble reactive phosphorus, total nitrogen, total phosphorus), and total organic carbon. Ferrous and ferric iron concentrations have been measured for some but not all samples. Water isotopes have also been measured for some but not all samples. The MEF is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.17632/hj3vvx5946.1
title: Vehicle images dataset for make and model recognition

description: The dataset consists of 3847 images of different vehicles having different makes and model. The dataset has 48 different classes of vehicle models which are annotated in 48 different folders, each folder is named with its respective vehicle make and model name.
DOI: 10.3886/e118648v1
title: Data and Code for Aid, China, and Growth: Evidence from a New Global Development Finance Dataset

description: Aid, China, and Growth: Evidence from a New Global Development Finance Dataset, Dreher, Axel, Andreas Fuchs, Bradley C. Parks, Austin Strange, and Michael J. Tierney, American Economic Journal: Economic Policy.<br>AEA Data and Code Repository project ID: openicpsr-118648<br><br>The replication material consists of one stata do file (“AEJ Ec Policy Replication.do”) and eight dta-files. Analyses have been performed with Stata version 14.0. Running the do file will create a new folder (“Tables”) in your working directory, where all output will be stored.<br>AEJ2020 allocation.dta is required to run the regressions for Tables 1 and 2: Allocation of Chinese official financing (OLS, 2000-2014).<br>AEJ2020 effectiveness.dta is required to run the main aid effectiveness regressions, starting with Table 3: Growth effects of Chinese official financing, baseline results (2002-2016).<br>map_1yw_merge.dta and worldcoord.dta are required to produce Figure 1 (“World Maps”).<br>test_instruments2.dta contains the input materials used for Figure 2: Parallel Trend Assumption.<br>work2_dataset_CDFt.dta is required for the graph in Appendix B1 (“Proportion of Chinese OF projects by status”).<br>AEJ2020 B17.dta is required to run the regressions for Appendix B17: Project-level analysis of missing values and socio-economic characteristics.<br>work2_dataset_CDF.dta is required for the other graphs in Appendix B.<br>
DOI: 10.25318/1310048401-eng
title:  Access to a regular family physician

description: Number and percentage of persons who had a regular family physician.
DOI: 10.5281/zenodo.7085341
title: Quantitative Mineral Analysis of Ordinary Chondrites and Primitive Achondrites Using Reflectance Spectroscopy

description: This is supporting data for the paper titled "Quantitative Mineral Analysis of Ordinary Chondrites and Primitive Achondrites Using Reflectance Spectroscopy". Table 1 shows the mineralogical data used in this paper. Table 2 shows the spectral data of olivine and orthopyroxene mixtures from Cloutis et al. (1986) (https://doi.org/10.1029/JB091iB11p11641).
DOI: 10.1285/i15900932v33n1p139
title: Commutator width in Chevalley groups

description: The present paper is the [slightly expanded] text of our talk at the Conference �Advances in Group Theory and Applications� at Porto Cesareo in June 2011. Our main results assert that [elementary] Chevalley groups very rarely have finite commutator width. The reason is that they have very few commutators, in fact, commutators have finite width in elementary generators. We discuss also the background, bounded elementary generation, methods of proof, relative analogues of these results, some positive results, and possible generalisations.
DOI: 10.15156/bio/786340
title: UNITE mothur release for Fungi

description: Three sets of mothur files are released, corresponding to the SHs resulting from clustering at the 97% and 99% threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 97% level, some at the 97.5% level, some at the 98% level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files.
DOI: 10.6084/m9.figshare.21776474
title: Supplementary Material for: Serum CCL22 Increased in Advanced Melanoma Patients with Liver Metastases: Report of 5 Cases

description: Advanced melanoma patients with liver metastases show a limited response to immunotherapy by the induction of regulatory T cells and depletion of effector cells, which leads to a poor prognosis. Tumor-associated macrophages (TAMs) induce apoptosis of activated antigen-specific CD8+ T cells in melanomas, leading to induction of tolerance to immune checkpoint inhibitors. In addition, TAMs produce various chemokines, and several serum pro-inflammatory chemokines measured at baseline are useful for the prediction of the efficacy of immunomodulatory drugs. In this study, serum levels of CCL22, CXCL5, and CXCL10 were evaluated by ELISA at baseline in 10 melanoma patients, 5 with liver metastases and 5 with lung metastases, treated with anti-PD1 Abs. Serum levels of CCL22, but not CXCL5 and CXCL10, were increased in patients with liver metastases compared to those with lung metastases or historical controls. The present data suggest that elevated serum CCL22 levels might be a biomarker for liver metastases in melanoma patients.
DOI: 10.7924/r4ww7cd91
title: Data from: Opportunity assessment for carbon and resilience benefits on natural and working lands in North Carolina

description: These datasets show the biophysical extent of reforestation, restoration, and conservation opportunities for on-the-ground management actions for natural and working lands that sequester/store carbon and support habitat and community resilience in North Carolina.  Management actions include conservation of existing forest land (including forests managed for harvest), reforestation, coordinated flood-related buyouts and floodplain restoration, and protection of coastal salt marsh migration corridors. Many of these data layers were used to estimate geographic scope, resilience potential, carbon sequestration and storage potential, and co-benefits for many of the recommendations in the North Carolina Natural and Working Lands Action Plan. A StoryMap was also developed to share these maps and other information related to the Natural and Working Lands Action Plan; it can be found at:  https://storymaps.arcgis.com/stories/ea97fbe9c7d74be988f5fc52075e009a

The datasets were developed as part of an opportunities assessment focusing on all lands where a recommended action is biophysically and ecologically feasible.  There is no consideration of social or economic constraints.  Therefore, all quantitative estimates (of geographic area, carbon storage and sequestration, etc.) are expected to be significantly higher than what will be observed. This assessment provides potential scale, not realistic estimates.
DOI: 10.17188/1196097
title: Materials Data on NiSe2 by Materials Project

description: NiSe2 is pyrite-like structured and crystallizes in the cubic Pa-3 space group. The structure is three-dimensional. Ni4+ is bonded to six equivalent Se2- atoms to form corner-sharing NiSe6 octahedra. The corner-sharing octahedral tilt angles are 63°. All Ni–Se bond lengths are 2.46 Å. Se2- is bonded in a 3-coordinate geometry to three equivalent Ni4+ atoms.
DOI: 10.5281/zenodo.7258367
title: Data for "Pollinators exert selection on floral traits in a pollen-limited, narrowly endemic spring ephemeral"

description: Phenotypic and fitness data for Trillium discolor associated with the publication "Pollinators exert selection on floral traits in a pollen-limited, narrowly endemic spring ephemeral"
DOI: 10.6084/m9.figshare.21776735
title: Supplementary Material for: Understanding the Presentation of Terminal Ileitis

description: Our patient is a 47-year-old African American female with a past medical history of recurrent episodes of small bowel obstruction. She presented to the emergency department with symptoms of nausea, vomiting, and abdominal pain. Upon further evaluation, imaging showed obstruction at the terminal ileum. Based on the holistic clinical presentation, we initially thought that this patient was experiencing symptoms of early onset Crohn’s disease. Gastroenterology evaluated the patient and was uncertain of the formal diagnosis. Colonoscopy and biopsy were not pathognomonic for Crohn’s disease, suggesting that there may be a component of terminal ileitis or another inflammatory bowel disease process. This case exemplifies the degree to which these inflammatory bowel disease processes frequently overlap.
DOI: 10.6084/m9.figshare.21762737.v5
title: Supplemental tables-R1

description: Supplemental tables 1-2
DOI: 10.6084/m9.figshare.21762737
title: Supplemental tables-R1

description: Supplemental tables 1-2
DOI: 10.6084/m9.figshare.21762737.v6
title: Supplemental tables-R1

description: Supplemental tables 1-2
DOI: 10.5519/qd.enzsd88z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (404 records)
DOI: 10.34740/kaggle/dsv/4781158
title: Elon Musk Tweets
DOI: 10.6084/m9.figshare.21786227.v1
title: Study data - Risk Factors COVID-19 Worsening.csv

description: This dataset is the baseline data for our study titled <strong>Risk Factors of COVID-19 Clinical Worsening: A Retrospective Cohort Study in COVID-19 Referral Hospital at West Java, Indonesia</strong>
DOI: 10.6084/m9.figshare.21786227
title: Study data - Risk Factors COVID-19 Worsening.csv

description: This dataset is the baseline data for our study titled <strong>Risk Factors of COVID-19 Clinical Worsening: A Retrospective Cohort Study in COVID-19 Referral Hospital at West Java, Indonesia</strong>
DOI: 10.5519/qd.23i25b7y
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.20227503
title: Data: Mapping the connectivity–conflict interface to inform conservation

description: Data used in the manuscript: Mapping the connectivity–conflict interface to inform conservation. <br> The Data Files include 3 files: 1. Locations of elephant detection/nondetection and elephant conflict, used to generate resistance and conditional conflict probabilities. 2. & 3. Data on conflict occurences used to validate the model, obtained from (2) an independently conducted questionnaire survey and (3) media reports. <br> Shapefiles and Rasters include: the study landscape extent; PAs with elephant densities; land-uses (agroforest, built up areas, crop, forest, plantations and water); and human population density from the WorldPop database. <br> The script includes code for inputting and preparing data files; generating resistance and absorption (conflict) layers; running the SAMC model; and validated model output. <br>
DOI: 10.6084/m9.figshare.21786296
title: Social media influencers and followers’ conspicuous consumption

description: SMI, FOMO and conspicuous consumption
DOI: 10.5281/zenodo.7424002
title: Venus Rifting: dataset vtu files

description: Dataset containing the input files and the vtu files of all the models tested for the study of rifting on Venus
DOI: 10.5281/zenodo.6637750
title: Data for replication of the publication: Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

description: 20 to 30% of drinking water produced is lost due to leaks in water distribution pipes. In times of water scarcity, losing so much treated water comes at a significant cost, both environmentally and economically. In this paper, we propose a hybrid leak localization approach combining both model-based and data-driven modeling. Pressure heads of leak scenarios are simulated using a hydraulic model, and then used to train a machine-learning based leak localization model. A key element of our approach is that discrepancies between simulated and measured pressures are accounted for using a dynamically calculated bias correction, based on historical pressure measurements. Data of in-field leak experiments in operational water distribution networks were produced to evaluate our approach on realistic test data. Two problematic settings for leak localization were examined. In the first setting, an uncalibrated hydraulic model was used. In the second setting, an extended version of the water distribution network was considered, where large parts of the network were insensitive to leaks. Our results show that the leak localization model is able to reduce the leak search region in parts of the network where leaks induce detectable drops in pressure. When this is not the case, the model still localizes the leak but is able to indicate a higher level of uncertainty with respect to its leak predictions.
DOI: 10.5281/zenodo.6637751
title: Data for peer review of: Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

description: 20 to 30% of drinking water produced is lost due to leaks in water distribution pipes. In times of water scarcity, losing so much treated water comes at a significant cost, both environmentally and economically. In this paper, we propose a hybrid leak localization approach combining both model-based and data-driven modeling. Pressure heads of leak scenarios are simulated using a hydraulic model, and then used to train a machine-learning based leak localization model. A key element of our approach is that discrepancies between simulated and measured pressures are accounted for using a dynamically calculated bias correction, based on historical pressure measurements. Data of in-field leak experiments in operational water distribution networks were produced to evaluate our approach on realistic test data. Two problematic settings for leak localization were examined. In the first setting, an uncalibrated hydraulic model was used. In the second setting, an extended version of the water distribution network was considered, where large parts of the network were insensitive to leaks. Our results show that the leak localization model is able to reduce the leak search region in parts of the network where leaks induce detectable drops in pressure. When this is not the case, the model still localizes the leak but is able to indicate a higher level of uncertainty with respect to its leak predictions.
DOI: 10.5281/zenodo.7255403
title: Data for replication of the publication: Probabilistic leak localization in water distribution networks using a hybrid data-driven and model-based approach

description: 20 to 30% of drinking water produced is lost due to leaks in water distribution pipes. In times of water scarcity, losing so much treated water comes at a significant cost, both environmentally and economically. In this paper, we propose a hybrid leak localization approach combining both model-based and data-driven modeling. Pressure heads of leak scenarios are simulated using a hydraulic model, and then used to train a machine-learning based leak localization model. A key element of our approach is that discrepancies between simulated and measured pressures are accounted for using a dynamically calculated bias correction, based on historical pressure measurements. Data of in-field leak experiments in operational water distribution networks were produced to evaluate our approach on realistic test data. Two problematic settings for leak localization were examined. In the first setting, an uncalibrated hydraulic model was used. In the second setting, an extended version of the water distribution network was considered, where large parts of the network were insensitive to leaks. Our results show that the leak localization model is able to reduce the leak search region in parts of the network where leaks induce detectable drops in pressure. When this is not the case, the model still localizes the leak but is able to indicate a higher level of uncertainty with respect to its leak predictions.