cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9aqooti
title: Soil data and age models used to investigate the effects of permafrost thaw on carbon storage, Interior Alaska

description: We quantified permafrost plateau carbon (C) and post-thaw C stocks across a peatland permafrost thaw chronosequence in Interior Alaska to evaluate whether C losses occurred with thaw . Peat core macrofossil reconstructions revealed three stratigraphic layers of peat: (1) a base layer of fen/marsh peat, (2) forested permafrost plateau peat and, (3) where permafrost thaw has occurred, collapse-scar bog peat. Radiocarbon dating revealed that peat initiated at all sites within the last 2,500 years, and dating transitions between stratigraphic layers allowed us to determine that permafrost aggraded during the Little Ice Age and degraded within the last several decades. We found the timing of permafrost thaw within each feature was not related to thaw bog size, as hypothesized. The rate of expansion may be more influenced by local factors, such as ground ice content and subsurface water inputs. We found C losses in the century following thaw were lower than losses previously described in other Alaskan peatland chronosequences. We hypothesize that the difference stems from the process by which permafrost aggraded, with sites that formed permafrost epigenetically, i.e. significantly later than the majority of peat accumulation, experiencing less C loss with thaw than sites that formed syngenetically, i.e. simultaneously with peat accumulation. We suggest that N concentration and C:N ratios can provide a first order estimate of how much peat has been processed prior to permafrost aggradation, helping to predict the magnitude of C loss with thaw.
DOI: 10.5066/p9w7dhly
title: Water-level and well-discharge data related to aquifer testing in Wet Mountain Valley, Colorado, 2019

description: Short-term aquifer tests were conducted to estimate hydraulic properties in an alluvial aquifer. Tests included eight single-hole pumping and recovery tests and three slug tests (in a single well). These investigations were conducted in the Wet Mountain Valley, in Custer and Fremont Counties, Colorado. The U.S. Geological Survey (USGS) conducted aquifer tests in May, 2019. These aquifer tests inform the conceptual understanding of the valley-fill aquifer and serve as primary inputs to the numerical groundwater-flow model. Testing was completed in cooperation with the Upper Arkansas Water Conservancy District. This data release contains raw data from aquifer tests, water-level and pumping discharge rate measurements, well logs, graphs of the testing data, and plots of analytical solutions.
DOI: 10.5066/p9wvkf1k
title: Dissolved Gas Modeling Results for Groundwater Samples Collected in the Western Lake Michigan Drainages and Eastern Iowa Basins Study Areas of the United States: 2007, 2017

description: This data release contains the results from a study of the transport and transformation of nitrate in groundwater and streams across diverse glacial terranes within the Western Lake Michigan (WMIC) Drainages and Eastern Iowa (EIWA) Basins of the United States. The primary focus of the study was on how varying redox conditions influence the timing and delivery of nitrate to streams in agricultural watersheds. The data represents dissolved gas modeling results that were obtained from the Dissolved Gas Modeling and Environmental Tracer Analysis (DGMETA) software program. DGMETA was used to produce calibrated dissolved gas models that provide optimal recharge temperature, excess air, and excess nitrogen gas concentrations (mainly from denitrification) based on measured dissolved gases.
DOI: 10.5066/p9zvw9c8
title: Hydrologic, water-quality, fire, forest-cover, and other data, the Great Dismal Swamp, Virginia and North Carolina

description: The Great Dismal Swamp (the swamp) is a forested peatland in southeastern Virginia and northeastern North Carolina. Since early colonial times, timber harvesting and drainage through a network of ditches constructed to facilitate the harvesting have altered these ecosystems. The U.S. Fish and Wildlife Service has managed the swamp as the Great Dismal Swamp National Wildlife Refuge since 1974 to restore its forest communities to those present in early colonial times. Part of the approach to forest restoration has been to "restore the hydrology." The report by Speiran and Wurster (2020) describes the hydrology and water quality across the swamp. Part of the data used to describe the hydrology and water quality of the Great Dismal Swamp are not available through other publicly accessible databases. These data are derived from three sources: (1) water-quality data collected at 90 sites throughout the swamp by the U.S. Geological Survey and the U.S. Fish and Wildlife Service as part of a one-time synoptic survey on March 15-31, 2016, (2) water-level, flow, and forest-cover data collected across the swamp by the U. S. Fish and Wildlife Service since 2009, and (3) data collected by the U.S. Army Corps of Engineers since 1940 on levels of Lake Drummond and flow from the Feeder Ditch and the Dismal Swamp Canal at Deep Creek, Va., and South Mills, N.C. The water-quality data were used to help identify and verify sources of water to the swamp. Forest-cover data provide a reference for comparison with forest cover in the early 1970s and the future. The remaining data are hydrologic information within and around the swamp. Reference: Speiran, G.K., and Wurster, F.C., 2020, Hydrology and water quality of the Great Dismal Swamp National Wildlife Refuge, Virginia and North Carolina, and implications for hydrologic-management goals and strategies: U.S. Geological Survey Scientific Investigations Report, 2020-XXXX, xx p.
DOI: 10.5517/ccdc.csd.cc283ys4
title: CCDC 2089176: Experimental Crystal Structure Determination

description: Related Article: Tianjiao Hu, Lukas Lückemeier, Constantin Daniliuc, Frank Glorius|2021|Angew.Chem.,Int.Ed.|60|23193|doi:10.1002/anie.202108503
DOI: 10.5517/ccdc.csd.cc285d2y
title: CCDC 2090549: Experimental Crystal Structure Determination

description: Related Article: Xiaoping Hu, Peizhuo Lv, Ninghui Zhang, Yuanhong Liu|2021|Org.Lett.|23|7949|doi:10.1021/acs.orglett.1c02957
DOI: 10.7910/dvn/0cpmgb
title: Replication Data for: "Electoral Responsiveness in Closed Autocracies: Evidence from Petitions in the former German Democratic Republic"

description: This file contains replication code for "Electoral Responsiveness in Closed Autocracies: Evidence from Petitions in the former German Democratic Republic," to be published in The American Political Science Review
DOI: 10.25345/c5485d
title: MassIVE MSV000088261 - GNPs Testing Samples Groups by BSN
title: Testing GNPs from raw data samples Nudibranchia and Achantostrongylophora.
DOI: 10.5281/zenodo.5594812
title: Books to scrape dataset

description: This dataset contains the data from the books in the website https://books.toscrape.com/, which is a public website for webscraping. The columns in this dataset are: titulo – Title of the book. categoria – Category of the book. rating – Rating given to the book. precio - Price of the book. cantidad_stock – Number of copies available in stock of the book at the time of creation of the dataset.
DOI: 10.5281/zenodo.5594814
title: Books to scrape dataset

description: This dataset contains the data from the books in the website https://books.toscrape.com/, which is a public website for webscraping. The columns in this dataset are: titulo – Title of the book. categoria – Category of the book. rating – Rating given to the book. precio - Price of the book. cantidad_stock – Number of copies available in stock of the book at the time of creation of the dataset.
DOI: 10.5281/zenodo.5594820
title: Books to scrape dataset

description: This dataset contains the data from the books in the website https://books.toscrape.com/, which is a public website for webscraping. The columns in this dataset are: titulo – Title of the book. categoria – Category of the book. rating – Rating given to the book. precio - Price of the book. cantidad_stock – Number of copies available in stock of the book at the time of creation of the dataset.
DOI: 10.15151/esrf-es-540930085
title: The Iberian cryoEM community BAG

description: The Iberian cryoEM BAG is a large consortium (&gt; 30 groups) composed of Portuguese and Spanish groups working in biologically relevant problems including disease-related metabolic enzymes, antibiotic resistance, DNA replication and DNA maintenance, protein synthesis, virus structure and mechanisms, and macromolecular complexes involved in the control of key cellular processes like protein folding and degradation.
DOI: 10.5281/zenodo.5594831
title: Memory-Efficient Fixpoint Computation

description: These are the raw datasets used in Memory-Efficient Fixpoint Computation (SAS2020)
DOI: 10.5281/zenodo.5594830
title: Memory-Efficient Fixpoint Computation

description: These are the raw datasets used in Memory-Efficient Fixpoint Computation (SAS2020)
DOI: 10.6084/m9.figshare.15224454.v3
title: Attention-Deficit Hyperactivity Disorder and Obesity – A National Study of 1.1 Million Israeli Adolescents - Supplementary Material

description: <b>Supplementary Appendix </b><b></b>
DOI: 10.5281/zenodo.5594848
title: GoHigh's Dataset

description: GoHigh's Dataset.
DOI: 10.5281/zenodo.5594875
title: Books to scrape dataset

description: This dataset contains the data from the books in the website https://books.toscrape.com/, which is a public website for webscraping. The columns in this dataset are: titulo – Title of the book. categoria – Category of the book. rating – Rating given to the book. precio - Price of the book. cantidad_stock – Number of copies available in stock of the book at the time of creation of the dataset.
DOI: 10.5281/zenodo.5594877
title: Small model output dataset for teaching use

description: Small model output dataset from CAM6-Nor for teaching use.
DOI: 10.14469/hpc/9538
title: Test-visualization

description: Test-vizualization
DOI: 10.5281/zenodo.5594883
title: Books to scrape dataset

description: This dataset contains the data from the books in the website https://books.toscrape.com/, which is a public website for webscraping. The columns in this dataset are: titulo – Title of the book. categoria – Category of the book. rating – Rating given to the book. precio - Price of the book. cantidad_stock – Number of copies available in stock of the book at the time of creation of the dataset.
DOI: 10.6084/m9.figshare.16680322.v2
title: datafinal.xlsx

description: Germination data on 55 species common in Australia. <br>
DOI: 10.6084/m9.figshare.16680322
title: datafinal.xlsx

description: Germination data on 55 species common in Australia. <br>
DOI: 10.6084/m9.figshare.16680322.v1
title: datafinal.xlsx

description: Germination data on 55 species common in Australia. <br>
DOI: 10.3886/e114488v1-99640
title: Replication data for: The Effect of Parental Education on Children's Drug and Alcohol Use

description: This research is the first to uncover evidence of an intergenerational effect of education on substance use in the United States. Using data from the NLSY79 and variation in education induced by changes in compulsory schooling laws, we study the effect of parental education on children's use of drugs and alcohol. We find that an increase in parental education decreases alcohol consumption—binge drinking, in particular—and has no effect on marijuana consumption among youth. Given the high social costs associated with alcohol abuse, we conclude that previous research on education may appreciably underestimate the benefits of investments in education.
DOI: 10.15161/oar.it/74208
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.25430/researchdata.cab.unipd.it.00000552
title: Maestri di musica e studenti in peregrinatio academica. I libri amicorum di Theodor Lindner e Thomas Seget

description: Studio sui libri amicorum di Theodor Lindner e Thomas Seget
DOI: 10.5281/zenodo.5594938
title: Books to scrape dataset

description: This dataset contains the data from the books in the website https://books.toscrape.com/, which is a public website for webscraping. The columns in this dataset are: titulo – Title of the book. categoria – Category of the book. rating – Rating given to the book. precio - Price of the book. cantidad_stock – Number of copies available in stock of the book at the time of creation of the dataset.
DOI: 10.5281/zenodo.5594811
title: Books to scrape dataset

description: This dataset contains the data from the books in the website https://books.toscrape.com/, which is a public website for webscraping. The columns in this dataset are: titulo – Title of the book. categoria – Category of the book. rating – Rating given to the book. precio - Price of the book. cantidad_stock – Number of copies available in stock of the book at the time of creation of the dataset.
DOI: 10.5281/zenodo.5594941
title: Not Scared of Chemistry Knowledge Graph

description: A combination of ExCAPE-DB, BioGRID, HomoloGene, and chemical similarities in a knowledge graph. Original data uncer CC-0 1.0 and derived data redistributed with their original licenses: <pre>- EXCAPE - CC-BY-SA-4.0 License - BioGRID - MIT License - HomoloGene - ??</pre> Automatically generated by https://github.com/cthoyt/nsockg.
DOI: 10.5281/zenodo.4574554
title: Not Scared of Chemistry Knowledge Graph

description: A combination of ExCAPE-DB, BioGRID, HomoloGene, and chemical similarities in a knowledge graph. Original data uncer CC-0 1.0 and derived data redistributed with their original licenses: <pre>- EXCAPE - CC-BY-SA-4.0 License - BioGRID - MIT License - HomoloGene - ??</pre> Automatically generated by https://github.com/cthoyt/nsockg.
DOI: 10.6084/m9.figshare.16814749.v1
title: Gusev et al., 2021 Studies on algae from the Order Synurales (Chrysophyceae) in Northern Vietnam. Table S2-S4

description: These tables contain data about the distribution of <i>Mallomonas</i> and <i>Synura </i>species in water bodies of Hanoi, Ninh Binh Province, and Thanh Hoa Province.<br>
DOI: 10.5281/zenodo.5594935
title: Supplementary

description: Supplementarty documents for Master thesis.
DOI: 10.5281/zenodo.5594944
title: Dataset: Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network

description: This repository contains the long-term connectivity and link quality dataset collected on ChirpBox over 4 months (May -- September 2021) in the city of Shanghai, China. In addition to the dataset itself, we provide evaluation scripts for data analysis and visualization, in order to facilitate data exploration and re-use. To make it clear how to use the scripts, we provide a <em>Jupyter notebook -- </em> <strong>dataset.ipynb</strong> for dataset visualization. <strong>List of files:</strong> <em>dataset_03052021_15092021.csv</em> The dataset includes LoRa connectivity and link quality, as well as environmental information, collected from May 3 to September 15, 2021. <em>data_analysis.py</em> The script for dataset analysis and visualization. One can use the functions in this script to derive network-level statistics (e.g., in terms of average number of correctly-exchanged packets), link-level statistics (e.g., in terms of SNR, RSS, and PRR), and node-level statistics(e.g., in terms of number of neighbours and temperature evolution over time). <em>metadata_processing.py</em> The script for pre-processing metadata into CSV files. One can use the functions in this script to convert metadata for each measurement saved in TXT and JSON formats to CSV files that include attributes such as link quality, connectivity, and environmental information, an example of which is <strong>dataset_03052021_15092021.csv</strong>. <em>dataset.ipynb </em> The Jupiter notebook contains examples of visualization and metadata pre-processing of datasets with functions in <strong>data_analysis.py</strong> and <strong>metadata_processing.py</strong>. <em>topology_map.png</em> The node deployment map used to create topology figures. A usage example is <strong>Figure 1</strong> shown in the notebook <strong>dataset.ipynb</strong>. <em>dataset_metadata.zip</em> The dataset metadata is stored in TXT and JSON formats. Among them, link quality, connectivity and on-board sensor data are stored in TXT files and weather information are stored in JOSN files. <em>README.md</em> The README.md explains all the files in this repository and gives some examples of how to use the provided scripts to analyze the dataset.
DOI: 10.5281/zenodo.4736501
title: Dataset: Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network

description: This repository contains the long-term connectivity and link quality dataset collected on ChirpBox over 4 months (May -- September 2021) in the city of Shanghai, China. In addition to the dataset itself, we provide evaluation scripts for data analysis and visualization, in order to facilitate data exploration and re-use. To make it clear how to use the scripts, we provide a <em>Jupyter notebook -- </em> <strong>dataset.ipynb</strong> for dataset visualization. <strong>List of files:</strong> <em>dataset_03052021_15092021.csv</em> The dataset includes LoRa connectivity and link quality, as well as environmental information, collected from May 3 to September 15, 2021. <em>data_analysis.py</em> The script for dataset analysis and visualization. One can use the functions in this script to derive network-level statistics (e.g., in terms of average number of correctly-exchanged packets), link-level statistics (e.g., in terms of SNR, RSS, and PRR), and node-level statistics(e.g., in terms of number of neighbours and temperature evolution over time). <em>metadata_processing.py</em> The script for pre-processing metadata into CSV files. One can use the functions in this script to convert metadata for each measurement saved in TXT and JSON formats to CSV files that include attributes such as link quality, connectivity, and environmental information, an example of which is <strong>dataset_03052021_15092021.csv</strong>. <em>dataset.ipynb </em> The Jupiter notebook contains examples of visualization and metadata pre-processing of datasets with functions in <strong>data_analysis.py</strong> and <strong>metadata_processing.py</strong>. <em>topology_map.png</em> The node deployment map used to create topology figures. A usage example is <strong>Figure 1</strong> shown in the notebook <strong>dataset.ipynb</strong>. <em>dataset_metadata.zip</em> The dataset metadata is stored in TXT and JSON formats. Among them, link quality, connectivity and on-board sensor data are stored in TXT files and weather information are stored in JOSN files. <em>README.md</em> The README.md explains all the files in this repository and gives some examples of how to use the provided scripts to analyze the dataset.
DOI: 10.5281/zenodo.5594948
title: Supplementary

description: Supplementarty documents for Master thesis.
DOI: 10.5281/zenodo.5594934
title: Supplementary

description: Supplementarty documents for Master thesis.
DOI: 10.25646/9172
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.5594958
title: Covid_19 Data

description: Dataset del covid-19 obtenido mediante técnicas de web Scrapping
DOI: 10.6084/m9.figshare.16864132
title: DiD Octb2021.dta

description: Panel of 93 Spanish listed companies with annual data from 2008 to 2015. Suitable for difference-in-differences analysis
DOI: 10.6084/m9.figshare.16864132.v1
title: DiD Octb2021.dta

description: Panel of 93 Spanish listed companies with annual data from 2008 to 2015. Suitable for difference-in-differences analysis
DOI: 10.48366/r147449
title: A review of Landsat-8 Operational Land Imager (OLI) multispectral images for the identification and characterization of minerals (Part-1)

description: This comparison shows the recent research done on Landsat-8 Operational Land Imager (OLI) multispectral images for its application in geology. This comparison will help the researchers and early geologists to check which mineral is available in various study areas. This comparison will be continued.
DOI: 10.34740/kaggle/ds/1668066
title: Train delays in Slovenia
DOI: 10.6084/m9.figshare.16864162
title: MatchingEstimators Octb2021.dta

description: Corporate investment and other accounting, financial and corporate governance data for 95 Spanish listed companies.
DOI: 10.6084/m9.figshare.16864162.v1
title: MatchingEstimators Octb2021.dta

description: Corporate investment and other accounting, financial and corporate governance data for 95 Spanish listed companies.
DOI: 10.7910/dvn/rfngkb
title: Variation in the Speech of Two Palestinian Immigrant Groups

description: Abstract Introduction. This study is a sociolinguistic study that investigates the speech of two Palestinian groups. The first group immigrated to Jordan from Palestine in 1948, and the other group immigrated to Jordan in 1967. The political status of the two groups at the beginning of their immigration played a major role in the speech of these two groups. The first group immigrated to Jordan when it was considered a Palestinian group, and the second immigrated when it was considered a Jordanian group because Jordan annexed the West Bank in 1950. This political status played role in determining the kind of variation that occurred in their speech. The first group was treated as Palestinian refugees, which minimized them from a social perspective. Thus, the study shows that the middle-aged and younger generations of this group abandoned their dialect, and 98% of them adopted the local variant. The second group was treated as Jordanian, having simply migrated from one part in the country, namely, the West Bank, to another part of it, namely, the East Bank (Jordan). The study found a strong correlation between an individual’s identity and the political status granted by a country. Though both groups consist of Palestinians, the study shows that the members of each group behaved linguistically differently depending how they are perceived politically and legally in Jordan. Conclusion. Palestinians emigrated in two large waves from their homeland to Jordan as the result of war. The first took place in 1948, and the second took place in 1967. The study shows that the linguistic behavior of both groups differs. The social and the political situations that each group found itself in determined, to a great extent, the linguistic behavior they adopted. Some of the statistical methods I used: I have used percentages and SPSS to support my results. A good sample in this study is the following: Young Silawi females used the [?] variant in 90.0% of the total number of occurrences of the (Q) variable in their speech. SPSS analysis shows that gender has a very powerful significance in the use of the [?] variant among the young age group (P