cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9pmmshx
title: Floodplain data from the Hoh, Elwha, Queets, and Quinault Rivers in Olympic National Park, 1939-2013

description: Floodplain characteristics were quantified for four rivers in Olympic National Park, Washington, USA, using orthophoto imagery taken between 1939-2013.
DOI: 10.25582/data.2018-08.1611129/1498143
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611130/1498144
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611131/1498145
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611132/1498146
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611133/1498147
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611138/1498149
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611139/1498150
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611140/1498151
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611141/1498152
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611142/1498153
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611143/1498154
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611144/1498155
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611145/1498156
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611146/1498157
title: WHONDRS Raw Instrument Data
DOI: 10.5066/p9pb1te8
title: Bathymetry and Storage Capacity of Dierks Lake, Arkansas

description: A bathymetric survey of Dierks Lake, Arkansas, was conducted in late June - early July, 2018, by the Lower Mississippi-Gulf Water Science Center (LMG WSC) of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in 2016 by the National Resources Conservation Service (NRCS; U.S. Geological Survey, 2017). From the combined point dataset, a terrain dataset (a type of triangulated irregular network, or TIN, model) was created in Esri ArcGIS, version 10.5, for the area encompassing the approximate extent of the flood pool of the lake as defined by the 557.592-ft contour of the LiDAR data. Products in this data release include an Esri file geodatabase and three digital elevation models (DEMs). The Esri file geodatabase contains: 1) a feature dataset of a clipping polygon of the extent of the LiDAR data used in the study, point data from the bathymetric and LiDAR surveys, and the terrain dataset; 2) a clipping polygon of the 559 ft NAVD88 contour of the LiDAR data; 3) bathymetric contours at 10-ft intervals; and 4) a table of volume (storage capacity) of the lake at 1-ft increments in water surface elevation from 444-558 ft above the North American Vertical Datum of 1988 (NAVD88). Storage capacity was also computed for seasonal conservation pool elevation 526.092 NAVD88, and flood pool elevation 557.592 ft NAVD88. Two of the three DEMs represent the extent of the LiDAR data used in the study, one in units of meters and the other in units of feet; the third represents the approximate extent of the flood pool of Dierks Lake, defined by the 559 ft NAVD88 polygon, and is in units of feet. References: Richards, J.M. and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409: 1 sheet, https://doi.org/10.3133/sim3409. U.S. Geological Survey, 2017, Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection: U.S. Geological Survey, https://nationalmap.gov/3DEP. Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs: U.S. Geological Survey Scientific Investigations Report 2006-5208, https://pubs.usgs.gov/sir/2006/5208/.
DOI: 10.5066/p9rt8rnn
title: Bathymetry and Storage Capacity of Gillham Lake, Arkansas (ver. 1.1, April 2020)

description: A bathymetric survey of Gillham Lake, Arkansas, was conducted in June, 2018, by the Lower Mississippi-Gulf Water Science Center (LMG WSC) of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in 2016 by the National Resources Conservation Service (NRCS). From the combined point dataset, a terrain dataset (a type of triangulated irregular network, or TIN, model) was created in Esri ArcGIS, version 10.5, for the area encompassing the approximate extent of the flood pool of the lake as defined by the 569.102 ft, North American Vertical Datum of 1988 (NAVD88), contour of the LiDAR data. Products in this data release include an Esri file geodatabase and three digital elevation models (DEMs). The Esri file geodatabase contains feature classes of point data from the bathymetric and LiDAR surveys, a clipping polygon of the area encompassing the flood pool extent, the terrain dataset, a polygon feature class of the 570 ft NAVD88 contour, a feature class of bathymetric contours at 10-ft intervals, and a table of storage capacity (volume) of the lake at 1-ft increments in water surface elevation from 425-570 ft NAVD88, conservation pool elevation 502.102 NAVD88, and flood pool elevation 569.102 ft NAVD88. The three digital elevation models (DEMs) are provided in GeoTiff format, and include two of the extent of the LiDAR data used in the project, one in units of meters and the other in feet, and one of the extent of the flood pool in units of feet. References: Richards, J.M. and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409: 1 sheet, https://doi.org/10.3133/sim3409; U.S. Geological Survey, 2017, Lidar Point Cloud - USGS National Map 3DEP Downloadable Data Collection: U.S. Geological Survey. Wilson, G.L., and Richards, J.M., 2006, Procedural Documentation and Accuracy Assessment of Bathymetric Maps and Area/Capacity Tables for Small Reservoirs: U.S. Geological Survey Scientific Investigations Report 2006-5208, https://pubs.usgs.gov/sir/2006/5208/.
DOI: 10.5281/zenodo.2585877
title: N-gram dataset of Dao Zang Ji Yao (道藏輯要)

description: This dataset contains the N-grams (1-3) collected from Dao Zang Ji Yao (道藏輯要).

The dataset comprises of the following resources:


	<strong>jiyao_1.7z</strong> Uni-gram dataset in tab seperated format (one file per book, each row contains the N-gram and its count)
	<strong>jiyao_2.7z</strong> Bi-gram dataset in tab seperated format (one file per book, each row contains the N-gram and its count)
	<strong>jiyao_3.7z</strong> Tri-gram dataset in tab seperated format (one file per book, each row contains the N-gram and its count)
	<strong>jiyao_metadata.xlsx</strong> Metadata of each book


 

Dieses Datenset enthält die im Dao Zang Ji Yao (道藏輯要) enthaltenen N-Gramme (1-3).  

Das Datenset besteht aus den folgenden Dateien:


	<strong>jiyao_1.7z</strong> Monogramm-Datenset im .txt Dateiformat mit Tabstopp als Trennzeichen (jede Datei enthält ein Buch, jede Zeile ein N-Gramm mit der Anzahl der Vorkommnisse im Text)
	<strong>jiyao_2.7z</strong> Bigramm-Datenset im .txt Dateiformat mit Tabstopp als Trennzeichen (jede Datei enthält ein Buch, jede Zeile ein N-Gramm mit der Anzahl der Vorkommnisse im Text)
	<strong>jiyao_3.7z</strong> Trigramm-Datenset im .txt Dateiformat mit Tabstopp als Trennzeichen (jede Datei enthält ein Buch, jede Zeile ein N-Gramm mit der Anzahl der Vorkommnisse im Text)
	<strong>jiyao_metata.xlsx</strong> Metadaten der enthaltenen Bücher


 

《道藏輯要》n元語法統計資料 (N-gram Dataset)

以下是檔案簡說:


	<strong>jiyao_1.7z</strong> 《道藏輯要》一元分詞(Unigram)的統計資料 (每本書一個檔案, 以tab作欄區分, 每一行紀錄該 N-gram 在書中出現的次數)
	<strong>jiyao_2.7z</strong> 《道藏輯要》二元分詞(Bigram)的統計資料 (每本書一個檔案, 以tab作欄區分, 每一行紀錄該 N-gram 在書中出現的次數)
	<strong>jiyao_3.7z</strong> 《道藏輯要》三元分詞(Trigram)的統計資料 (每本書一個檔案, 以tab作欄區分, 每一行紀錄該 N-gram 在書中出現的次數)
	<strong>jiyao_metadata.xlsx</strong> 紀錄每本書的基本Metadata
DOI: 10.5281/zenodo.2585878
title: N-gram dataset of Dao Zang Ji Yao (道藏輯要)

description: This dataset contains the N-grams (1-3) collected from Dao Zang Ji Yao (道藏輯要).

The dataset comprises of the following resources:


	<strong>jiyao_1.7z</strong> Uni-gram dataset in tab seperated format (one file per book, each row contains the N-gram and its count)
	<strong>jiyao_2.7z</strong> Bi-gram dataset in tab seperated format (one file per book, each row contains the N-gram and its count)
	<strong>jiyao_3.7z</strong> Tri-gram dataset in tab seperated format (one file per book, each row contains the N-gram and its count)
	<strong>jiyao_metadata.xlsx</strong> Metadata of each book


 

Dieses Datenset enthält die im Dao Zang Ji Yao (道藏輯要) enthaltenen N-Gramme (1-3).  

Das Datenset besteht aus den folgenden Dateien:


	<strong>jiyao_1.7z</strong> Monogramm-Datenset im .txt Dateiformat mit Tabstopp als Trennzeichen (jede Datei enthält ein Buch, jede Zeile ein N-Gramm mit der Anzahl der Vorkommnisse im Text)
	<strong>jiyao_2.7z</strong> Bigramm-Datenset im .txt Dateiformat mit Tabstopp als Trennzeichen (jede Datei enthält ein Buch, jede Zeile ein N-Gramm mit der Anzahl der Vorkommnisse im Text)
	<strong>jiyao_3.7z</strong> Trigramm-Datenset im .txt Dateiformat mit Tabstopp als Trennzeichen (jede Datei enthält ein Buch, jede Zeile ein N-Gramm mit der Anzahl der Vorkommnisse im Text)
	<strong>jiyao_metata.xlsx</strong> Metadaten der enthaltenen Bücher


 

《道藏輯要》n元語法統計資料 (N-gram Dataset)

以下是檔案簡說:


	<strong>jiyao_1.7z</strong> 《道藏輯要》一元分詞(Unigram)的統計資料 (每本書一個檔案, 以tab作欄區分, 每一行紀錄該 N-gram 在書中出現的次數)
	<strong>jiyao_2.7z</strong> 《道藏輯要》二元分詞(Bigram)的統計資料 (每本書一個檔案, 以tab作欄區分, 每一行紀錄該 N-gram 在書中出現的次數)
	<strong>jiyao_3.7z</strong> 《道藏輯要》三元分詞(Trigram)的統計資料 (每本書一個檔案, 以tab作欄區分, 每一行紀錄該 N-gram 在書中出現的次數)
	<strong>jiyao_metadata.xlsx</strong> 紀錄每本書的基本Metadata
DOI: 10.5281/zenodo.2586129
title: Flye 2.5 assemblies

description: Various assemblies generated with Flye v2.5. A supplement for: https://github.com/fenderglass/Flye
DOI: 10.5281/zenodo.2586130
title: Flye 2.4 assemblies

description: Various assemblies generated with Flye v2.4. A supplement for: https://github.com/fenderglass/Flye
DOI: 10.21227/cz6w-0p87
title: article

description: The PS-InSAR analysis method is a technique that utilizes persistent scatter in SAR images and performs image analysis by interfering with 25 or more slave images in a master image. Determining the accuracy of the above algorithm is the denser between images, the higher the coherence, the more accurate the image is. Therefore, the Minimum Spanning Tree (MST) algorithm is used to find the optimum coherence by considering the temporal, spatial, and coherence of each image rather than Star graph, which interferes with the rest of the slave images in one master image. However if MST algorithms are carried out considering the high coherence between images, the high coherence interference pairs can be connected, but the higher the number and size of images, the higher the processing speed. In this study, MST algorithms were carried out in consideration of the basic information of images, spatial baseline, and temporal baseline, without any imaging processing. In order to verify this, a three-dimensional regression analysis was conducted, taking into account the correlation of spatial baseline, temporal baseline, and coherence. Also, a new MST algorithm was performed taking into account the weights derived from the above analysis. The results showed that a high coherence of 98.5% over the previous analysis was achieved in a short time and an increase of about 120% over the Star graph.
DOI: 10.21227/nmfy-3e43
title: article

description: The PS-InSAR analysis method is a technique that utilizes persistent scatter in SAR images and performs image analysis by interfering with 25 or more slave images in a master image. Determining the accuracy of the above algorithm is the denser between images, the higher the coherence, the more accurate the image is. Therefore, the Minimum Spanning Tree (MST) algorithm is used to find the optimum coherence by considering the temporal, spatial, and coherence of each image rather than Star graph, which interferes with the rest of the slave images in one master image. However if MST algorithms are carried out considering the high coherence between images, the high coherence interference pairs can be connected, but the higher the number and size of images, the higher the processing speed. In this study, MST algorithms were carried out in consideration of the basic information of images, spatial baseline, and temporal baseline, without any imaging processing. In order to verify this, a three-dimensional regression analysis was conducted, taking into account the correlation of spatial baseline, temporal baseline, and coherence. Also, a new MST algorithm was performed taking into account the weights derived from the above analysis. The results showed that a high coherence of 98.5% over the previous analysis was achieved in a short time and an increase of about 120% over the Star graph.
DOI: 10.25582/data.2018-08.1611147/1498158
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1611148/1498159
title: WHONDRS Raw Instrument Data
DOI: 10.6073/pasta/1e42fa867183f2daa2c9b18326b150c0
title: MCR LTER: Coral Reef: Long-term Population and Community Dynamics: Corals, ongoing since
      2005 (Reformatted to ecocomDP Design Pattern)

description: This data package is formatted according to the "ecocomDP", a data package design pattern for ecological community surveys, and data from studies of composition and biodiversity. For more information on the ecocomDP project see https://github.com/EDIorg/ecocomDP/tree/master, or contact EDI https://environmentaldatainitiative.org.

This Level 1 data package was derived from the Level 0 data package found here: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-mcr&identifier=4&revision=35

The abstract below was extracted from the Level 0 data package and is included for context:

This dataset contains the percentage cover of the stony corals (Scleractinia) and other
        major groups analyzed from 0.5 x 0.5 m photographic quadrats in several reef habitats at the
        Moorea Coral Reef LTER, French Polynesia. This survey has been repeated annually in April
        since 2005. There are two tables available, providing different views of the same data: a
        long table having all values in one column and a wide table having a separate column for
        each dependent variable. Functional groups (i.e., dependent variables) counted are: Scleractinian Corals (by genus where
        appropriate, see methods), Macroalgae, Crustose Coralline Algae / Bare Space, Soft Corals,
        Hydrocorals (Millepora), Algal Turf and Sand. The coral community was sampled
        photographically in all habitats surrounding the island: Fringing Reef, Lagoon (Backreef),
        and Outer Reef (Forereef.) The sampling regime consists of a repeated-measures protocol in each
        habitat, and is structured by habitat to allow a statistical contrast of sites, shores,
        times, and in the case of the outer reef, depths. Detailed methods are available in the
        protocols section.
DOI: 10.25934/00003354
title: A Phase 2, Double-Blind, Placebo-Controlled Study to Assess the Effect of Febuxostat 80 mg Once Daily Compared to Placebo on Exercise Tolerance in Subjects With Chronic Stable Angina

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.2586614
title: Dynamics of Phase Separation from Holography

description: We use holography to develop a physical picture of the real-time evolution of the spinodal instability of a four-dimensional, strongly-coupled gauge theory with a first-order thermal phase transition. The implemented planar symmetry on the gravity side reduces the dynamics to $1+1$ dimensions in the gauge theory. In this dataset, we publish the boundary data of several simulations each in its respective archive. The simulations are all for the same theory as the first evolution of the inhomogeneous triple peak solution published in <strong>arXiv:1703.02948</strong>. They differ in their initial state (initial<strong><em> </em></strong>homogeneous energy density or initial excitation) and longitudinal extent, but are all on a circle in that longitudinal direction due to the periodic boundary condition. Most evolution finish in the preferred universal final state with a single phase separated domain. Their detailed physical analysis can be found in the upcoming paper arXiv:1902.XXXXX. 000_Readme.txt provides a quick explanation on the content of each archive. We also provide an optional Mathematica script to plot properties of the stress tensor.
DOI: 10.5281/zenodo.2586687
title: Dataset - Ionic Species in a Naphthalene Plasma: Understanding Fragmentation Patterns and Growth of PAHs

description: All mass spectrometry scans presented in 10.1021/acs.jpca.9b00100
DOI: 10.5281/zenodo.2582969
title: Hyperparameter tuning and performance assessment of statistical and machine-learning models using spatial data.

description: This is a research compendium (RC) for the publication "Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data".

The code (including figures, appendices and the manuscript) is packed in <strong>pathogen-modeling-3.zip </strong>or can be found directly in the Github repository.


	<strong>Publication figures</strong>: analysis/paper/submission/3/latex-source-files/
	<strong>Appendices</strong>: analysis/paper/submission/3/


This RC represents a static snapshot at the time of submission. The Github repository will receive changes after the publication was published.

<strong>Data sources</strong>


	Atlas Climatico: http://opengis.uab.es/wms/iberia/index.htm
	DEM: ftp://ftp.geo.euskadi.eus/lidar/MDE_LIDAR_2016_ETRS89/
	Lithology: http://www.geo.euskadi.eus/geonetwork/srv/spa/main.home
	pH: https://esdac.jrc.ec.europa.eu/content/soil-ph-europe#tabs-0-description=0
	soil: https://www.isric.org/explore/soilgrids


<strong>Licenses</strong>

All files are shared via the given license with the exception of "soil.tif" which is shared via the <strong>ODbL </strong>license<strong>.</strong>
DOI: 10.5281/zenodo.2582970
title: Analyzing the importance of spatial autocorrelation in hyperparameter tuning and performance estimation of machine-learning algorithms for spatial data.

description: This repository will contain the research compendium of our work on comparing algorithms across different resampling settings.
DOI: 10.5281/zenodo.2585889
title: Each soil deserves a name: Unnamed soils, lost opportunities

description: From Scopus we extracted the research papers containing the word ‘soil’ in the title that on July 13th 2018 counted more than 500 citations. From this collection of 310 papers we excluded the unobtainable ones (in orange), those that do not contain original data or report aggregated data not attributable to any single soil (in green), and those clearly not dealing with soil in spite of the title (in yellow). So, we selected 174 suitable papers, which were checked for i) the presence of the soil name (according to any classification system) in the main text, the Supplementary Materials, external databases linked to the paper, or publications quoted in the main paper, and ii) the following info: geographic coordinates of the sampled soil, particle size distribution/texture class, pH, organic carbon content, cation exchange capacity, and any other ancillary soil data.
description: This dataset refers to the Viewpoint published in  Environ. Sci. Technol., doi: 10.1021/acs.est.9b03050
DOI: 10.5281/zenodo.2585890
title: Each soil deserves a name: Unnamed soils, lost opportunities

description: From Scopus we extracted the research papers containing the word ‘soil’ in the title that on July 13th 2018 counted more than 500 citations. From this collection of 310 papers we excluded the unobtainable ones (in orange), those that do not contain original data or report aggregated data not attributable to any single soil (in green), and those clearly not dealing with soil in spite of the title (in yellow). So, we selected 174 suitable papers, which were checked for i) the presence of the soil name (according to any classification system) in the main text, the Supplementary Materials, external databases linked to the paper, or publications quoted in the main paper, and ii) the following info: geographic coordinates of the sampled soil, particle size distribution/texture class, pH, organic carbon content, cation exchange capacity, and any other ancillary soil data.
description: This dataset refers to the Viewpoint published in  Environ. Sci. Technol., doi: 10.1021/acs.est.9b03050
DOI: 10.5281/zenodo.2586686
title: Dataset - Ionic Species in a Naphthalene Plasma: Understanding Fragmentation Patterns and Growth of PAHs

description: All mass spectrometry scans presented in 10.1021/acs.jpca.9b00100
DOI: 10.5281/zenodo.2586705
title: Malwa site survey : Sehore सीहोर District, Budni Tahsīl, photographic documentation (part 2)

description: Malwa site survey: Sehore District, Budni Tahsīl, photographic documentation (part 2), based on surveys conducted by Department of Archaeology and Museums, Madhya Pradesh.
description: Rehti tahsīl items included in bundle. The site locations of many photographs not recorded in the archive.
DOI: 10.5281/zenodo.2586706
title: Malwa site survey : Sehore सीहोर District, Budni Tahsīl, photographic documentation (part 2)

description: Malwa site survey: Sehore District, Budni Tahsīl, photographic documentation (part 2), based on surveys conducted by Department of Archaeology and Museums, Madhya Pradesh.
description: Rehti tahsīl items included in bundle. The site locations of many photographs not recorded in the archive.
DOI: 10.5517/ccdc.csd.cc212m92
title: CCDC 1879353: Experimental Crystal Structure Determination

description: Related Article: T. Galica, I. Turowska-Tyrk|2019|J.Photochem.Photobiol.A:Chem.|376|108|doi:10.1016/j.jphotochem.2019.03.007
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc212mb3
title: CCDC 1879354: Experimental Crystal Structure Determination

description: Related Article: T. Galica, I. Turowska-Tyrk|2019|J.Photochem.Photobiol.A:Chem.|376|108|doi:10.1016/j.jphotochem.2019.03.007
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.