cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9d80l8y
title: Geologic map of the Schickard Quadrangle of the Moon

description: The Schickard quadrangle lies in the southwest quadrant of the near side of the moon between Mare Humorum to the northeast, the Orientale multi-ring basin to the northwest, and the crater Tycho to the east. A northward-trending arcuate chain of large craters occurs along the south and west margins of the quadrangle and includes the 180 km wide crater Schickard, the most conspicuous feature in the quadrangle. The region is part of the southern highlands lunar province and is characterized by rugged and complex topography, 40 percent of which is uplands rising as much as 1600 meters above irregular patches of smooth plains and mare.
DOI: 10.5281/zenodo.7569525
title: Laboratory luminous efficiency results: iron and aluminum

description: This includes data presented in the paper "Experimentally derived luminous efficiencies for aluminum and iron at meteoric speeds", submitted to Geophysical Research Letters, as well as code to reproduce results plots. The contents include:



	

	
al/fe_data: results from the aluminum and iron campaigns

	

		

		
columns: particle velocity (m/s), particle mass (kg), luminous efficiency (unitless), luminous efficiency uncertainty (unitless)
		
	
	
	

	
fe/al_fit.mat and fe/al_fit_gof.mat: output and goodness of fit statistics from fitting a rational function to the datasets
	
	

	
paper_plots.m: basic plotting routines for the data and fits
DOI: 10.5281/zenodo.7569526
title: Laboratory luminous efficiency results: iron and aluminum

description: This includes data presented in the paper "Experimentally derived luminous efficiencies for aluminum and iron at meteoric speeds", submitted to Geophysical Research Letters, as well as code to reproduce results plots. The contents include:



	

	
al/fe_data: results from the aluminum and iron campaigns

	

		

		
columns: particle velocity (m/s), particle mass (kg), luminous efficiency (unitless), luminous efficiency uncertainty (unitless)
		
	
	
	

	
fe/al_fit.mat and fe/al_fit_gof.mat: output and goodness of fit statistics from fitting a rational function to the datasets
	
	

	
paper_plots.m: basic plotting routines for the data and fits
DOI: 10.5281/zenodo.4731083
title: EISCAT-MAARSY Joint Meteor Observations

description: This dataset contains simultaneous observations of several hundred meteors by the MAARSY and EISCAT radars, collected between 30 September 2016 and 25 March 2017.
DOI: 10.5281/zenodo.4731084
title: EISCAT-MAARSY Joint Meteor Observations

description: This dataset contains simultaneous observations of several hundred meteors by the MAARSY and EISCAT radars, collected between 30 September 2016 and 25 March 2017.
DOI: 10.34740/kaggle/dsv/6968385
title: Ukraine Vegetation Data Jan 2018-Jan 2023
DOI: 10.5281/zenodo.10126694
title: INFORMATE Project - CHORUS Report Summaries - 20231106

description: These data provide a summary of the All, Author Affiliation, and Dataset Reports generated by the CHORUS Dashboard for three agencies: the U.S. National Science Foundation, U.S. Geological Survey, and the U.S. Agency for International Development. The reports summarized here was collected on November 6-7, 2023 as part of the INFORMATE Project funded by NSF.
The columns are:
Column     Definition
agency      The funding agency [NSF, USGS, or USAID]
date.          The date of data retrieval (YYYYMMDD)
report.        The report [all, authors, datasets]
Property    Name of the column in the input file
count         Number of values (rows) of the property
unique        Number of unique values of the property
top             Most common value of the property
freq            Number of occurrences (frequency) of the most common value
Count %     The percentage of rows that include the property
DOI: 10.5281/zenodo.10126695
title: INFORMATE Project - CHORUS Report Summaries - 20231106

description: These data provide a summary of the All, Author Affiliation, and Dataset Reports generated by the CHORUS Dashboard for three agencies: the U.S. National Science Foundation, U.S. Geological Survey, and the U.S. Agency for International Development. The reports summarized here was collected on November 6-7, 2023 as part of the INFORMATE Project funded by NSF.
The columns are:
Column     Definition
agency      The funding agency [NSF, USGS, or USAID]
date.          The date of data retrieval (YYYYMMDD)
report.        The report [all, authors, datasets]
Property    Name of the column in the input file
count         Number of values (rows) of the property
unique        Number of unique values of the property
top             Most common value of the property
freq            Number of occurrences (frequency) of the most common value
Count %     The percentage of rows that include the property
DOI: 10.5066/p9fcjkse
title: Geologic map of the Wilhelm Quadrangle of the Moon

description: The Wilhelm quadrangle lies along a mare highlands boundary west of the crater Tycho, southeast of Mare Humorum, and southwest of Mare Numbium. The outer scarp of the Orientale basin is 1200 km to the West-Northwest. The quadrangle is characterized by pitted and mantled appearing terra, which in the north is interrupted by patches of mare and in the south by several large pre-Imbrian craters. Most of the mare material occupies angular massif bounded depressions which are approximately concentric and radial to the basins that contain Mare Humorum and Mare Numbium. Most of the large craters are either partly subdued (Wurzelbauer, Montanari), the degree of subdual apparently resulting from a mantle of terra material of varying thickness. Only Longomontanus, though heavily pitted, seems relatively unmantled; it lies on the western margin of a "marco-crater province" of conspicuous large craters that extends southeast and east of the quadrangle (Hackman and Mason, 1961).
DOI: 10.5281/zenodo.10120351
title: MAARSY-Optical Coincident Meteor Observations

description: Meteor observations from the MAARSY radar and a two-camera network deployed by the University of Western Ontario. The data are organized into individual directories for each event.
Each event directory contains a subset of the following files:

*_echo.txt: MAARSY data for the event, including time, position, SNR, RCS, and velocity. Each file is title with the timestamp of the event
data*W.dat: optical camera data for the event, including time, position, and magnitude. Each file is titled with the observing camera: site 01 or site 02, wide-field (W) camera
Camera images of the event
Range-time plots of the radar and optical data
DOI: 10.5281/zenodo.10120350
title: MAARSY-Optical Coincident Meteor Observations

description: Meteor observations from the MAARSY radar and a two-camera network deployed by the University of Western Ontario. The data are organized into individual directories for each event.
Each event directory contains a subset of the following files:

*_echo.txt: MAARSY data for the event, including time, position, SNR, RCS, and velocity. Each file is title with the timestamp of the event
data*W.dat: optical camera data for the event, including time, position, and magnitude. Each file is titled with the observing camera: site 01 or site 02, wide-field (W) camera
Camera images of the event
Range-time plots of the radar and optical data
DOI: 10.18739/a2mc8rh9r
title: Brooks Range vegetation change from repeat imagery, Alaska, 1970s to 2010s

description: This data set represents 23 study sites across 22 degrees of longitude along treeline in Alaska's Brooks Range. Each study site was approximately 50 square kilometers in area and sampled with approximately n = 3,000, randomly-placed 6 meter (m) diameter disks. Each of the 63,224 disks were classified by humans into coarse vegetation classes twice, once using 1970s aerial orthophotos (e.g., Alaska High-Altitude Photography) and again using 2010s very-high resolution satellite imagery (e.g., MAXAR World-View). In addition, annual maximum Landsat normalized difference vegetation index (NDVI) values were extracted from a subset of these disks (n = 27,835 from 12 study sites) for Theil-Sen regression on greening trends using the R package LandsatTS.
DOI: 10.5281/zenodo.10126818
title: Dataset
DOI: 10.5281/zenodo.10126817
title: Dataset
DOI: 10.18739/a2736m39s
title: Brooks Range vegetation change from repeat imagery, Alaska, 1970s to 2010s

description: This data set represents 23 study sites across 22 degrees of longitude along treeline in Alaska's Brooks Range. Each study site was approximately 50 square kilometers in area and sampled with approximately n = 3,000, randomly-placed 6 meter (m) diameter disks. Each of the 63,224 disks were classified by humans into coarse vegetation classes twice, once using 1970s aerial orthophotos (e.g., Alaska High-Altitude Photography) and again using 2010s very-high resolution satellite imagery (e.g., MAXAR World-View). In addition, annual maximum Landsat normalized difference vegetation index (NDVI) values were extracted from a subset of these disks (n = 27,835 from 12 study sites) for Theil-Sen regression on greening trends using the R package LandsatTS.
DOI: 10.5066/p9f4nozc
title: Geologic map of the Mare Undarum Quadrangle of the Moon

description: The map area contains two mare provinces, one terra province, and one province of mixed mare and terra. The maria are the semicircular southern half of Mare Crisium and the northeast sector of Mare Fecunditatis. The massive belt of terra that arcs across the quadrangle between these maria is the south rim of the Crisium multiringed basin; its southwest part is probably superposed on an older, originally similar, accurate rim of the Fecunditatis basin. The fourth province, in the southeast corner, includes small irregular maria such as Mare Undarum and Mare Spumans and intervening peninsulas and islands of terra.
DOI: 10.18739/a23f4kp8z
title: Brooks Range vegetation change from repeat imagery, Alaska, 1970s to 2010s

description: This data set represents 23 study sites across 22 degrees of longitude along treeline in Alaska's Brooks Range. Each study site was approximately 50 square kilometers in area and sampled with approximately n = 3,000, randomly-placed 6 meter (m) diameter disks. Each of the 63,224 disks were classified by humans into coarse vegetation classes twice, once using 1970s aerial orthophotos (e.g., Alaska High-Altitude Photography) and again using 2010s very-high resolution satellite imagery (e.g., MAXAR World-View). In addition, annual maximum Landsat normalized difference vegetation index (NDVI) values were extracted from a subset of these disks (n = 27,835 from 12 study sites) for Theil-Sen regression on greening trends using the R package LandsatTS.
DOI: 10.5281/zenodo.7772572
title: Data and Code for High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers

description: Data and source code for reproducing the analysis conducted in "High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers" All materials are licensed for noncommercial purposes https://creativecommons.org/licenses/by-nc/4.0/ <strong>HIDA_Publication.R has source code for doing data cleanup and analysis on data in database.zip. </strong> <strong>databasedata.zip holds all raw and analyzed data. </strong> - ATR, Reflectance, and Transmission folders has all data used in the manuscript. In a raw (.0) and combined (export.csv) format for each of the plates analyzed (folder numbers). - Plots folder has images of each spectrum. - cell_information.csv has the raw ids and comments made at the time the particles were assessed. - classes_reference_2.csv has the transformations used to standardize open specy's terms to polymer classes. - CleanedSpectra_raw.csv has the total cleaned up database of all spectral intensities in long format. - joined_cell_metadata.csv has the metadata for each plate well analyzed. - library_metadata.csv has metadata for each spectrum in raw form for each particle id. - Lisa_Plate_6.csv has the metadata from Lisa Roscher used in this study. - Metadata_raw.csv has the conformed metadata that can be paired with the CleanedSpectra_raw.csv file. - OpenSpecy_Classification_Baseline.csv has the particle metadata combined with Open Specy's classes identified after baseline correcting and smoothing the spectra with the standard Open Specy routine. - OpenSpecy_Classification_Raw.csv has the particle metadata combined with Open Specy's identified classes if using the raw spectra. - particle_spectrum_match.csv converts particle ids to their reference in the Polymer_Material_Database_AWI_V2_Win.xlsx file. - Polymer_Material_Database_AWI_V2_Win.xlsx metadata on materials from Primpke's database. - polymer_metadata_2.csv can be used to crosswalk polymer categories to more or less specific terminology. - spread_os.csv is the reference database used in CleanedSpectra_raw.csv that has been spread to wide format. - Top Correlation Data20221201-125621.csv is a download of results from Open Specy's beta tool that provides the top ids from the reference database.
DOI: 10.5281/zenodo.10126851
title: Data and Code for High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers

description: Data and source code for reproducing the analysis conducted in "High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers"
All materials are licensed for noncommercial purposes https://creativecommons.org/licenses/by-nc/4.0/
Explanatory_Videos.zip has videos showing data collection methods. 
HIDA_Publication.R has source code for doing data cleanup and analysis on data in database.zip. 
databasedata.zip holds all raw and analyzed data. 
- ATR, Reflectance, and Transmission folders has all data used in the manuscript. In a raw (.0) and combined (export.csv) format for each of the plates analyzed (folder numbers). 
- Plots folder has images of each spectrum. 
- cell_information.csv has the raw ids and comments made at the time the particles were assessed. 
- classes_reference_2.csv has the transformations used to standardize open specy's terms to polymer classes. 
- CleanedSpectra_raw.csv has the total cleaned up database of all spectral intensities in long format.  
- joined_cell_metadata.csv has the metadata for each plate well analyzed. 
- library_metadata.csv has metadata for each spectrum in raw form for each particle id. 
- Lisa_Plate_6.csv has the metadata from Lisa Roscher used in this study. 
- Metadata_raw.csv has the conformed metadata that can be paired with the CleanedSpectra_raw.csv file. 
- OpenSpecy_Classification_Baseline.csv has the particle metadata combined with Open Specy's classes identified after baseline correcting and smoothing the spectra with the standard Open Specy routine.
- OpenSpecy_Classification_Raw.csv has the particle metadata combined with Open Specy's identified classes if using the raw spectra. 
- particle_spectrum_match.csv converts particle ids to their reference in the Polymer_Material_Database_AWI_V2_Win.xlsx file. 
- Polymer_Material_Database_AWI_V2_Win.xlsx metadata on materials from Primpke's database. 
- polymer_metadata_2.csv can be used to crosswalk polymer categories to more or less specific terminology. 
- spread_os.csv is the reference database used in CleanedSpectra_raw.csv that has been spread to wide format.
- Top Correlation Data20221201-125621.csv is a download of results from Open Specy's beta tool that provides the top ids from the reference database.
DOI: 10.5281/zenodo.7772571
title: Data and Code for High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers

description: Data and source code for reproducing the analysis conducted in "High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers"
All materials are licensed for noncommercial purposes https://creativecommons.org/licenses/by-nc/4.0/
Explanatory_Videos.zip has videos showing data collection methods. 
HIDA_Publication.R has source code for doing data cleanup and analysis on data in database.zip. 
databasedata.zip holds all raw and analyzed data. 
- ATR, Reflectance, and Transmission folders has all data used in the manuscript. In a raw (.0) and combined (export.csv) format for each of the plates analyzed (folder numbers). 
- Plots folder has images of each spectrum. 
- cell_information.csv has the raw ids and comments made at the time the particles were assessed. 
- classes_reference_2.csv has the transformations used to standardize open specy's terms to polymer classes. 
- CleanedSpectra_raw.csv has the total cleaned up database of all spectral intensities in long format.  
- joined_cell_metadata.csv has the metadata for each plate well analyzed. 
- library_metadata.csv has metadata for each spectrum in raw form for each particle id. 
- Lisa_Plate_6.csv has the metadata from Lisa Roscher used in this study. 
- Metadata_raw.csv has the conformed metadata that can be paired with the CleanedSpectra_raw.csv file. 
- OpenSpecy_Classification_Baseline.csv has the particle metadata combined with Open Specy's classes identified after baseline correcting and smoothing the spectra with the standard Open Specy routine.
- OpenSpecy_Classification_Raw.csv has the particle metadata combined with Open Specy's identified classes if using the raw spectra. 
- particle_spectrum_match.csv converts particle ids to their reference in the Polymer_Material_Database_AWI_V2_Win.xlsx file. 
- Polymer_Material_Database_AWI_V2_Win.xlsx metadata on materials from Primpke's database. 
- polymer_metadata_2.csv can be used to crosswalk polymer categories to more or less specific terminology. 
- spread_os.csv is the reference database used in CleanedSpectra_raw.csv that has been spread to wide format.
- Top Correlation Data20221201-125621.csv is a download of results from Open Specy's beta tool that provides the top ids from the reference database.
DOI: 10.5281/zenodo.10126687
title: LieberInstitute/spatial_DG_lifespan: v1.0.0

description: The Github repository contains a variety of scripts that can be run on the SpatialExperiment object e.g., for quality control, unsupervised spatial clustering, pseudo-bulking data, differential expression, and surveying of gene sets from other publications.Here, we include two SpatialExperiment S4 Class storage (spe) objects. The basic spe object stores the raw counts for all the Visium experiments and metadata. The processed spe object is after quality control, batch correction, data integration, unsupervised spatial clustering, cell-type deconvolution, and also contains the metadata.Also included are compressed files for the raw images of haematoxylin and eosin-stained tissue for each Visium slide.
DOI: 10.5281/zenodo.10126688
title: LieberInstitute/spatial_DG_lifespan: v1.0.0

description: The Github repository contains a variety of scripts that can be run on the SpatialExperiment object e.g., for quality control, unsupervised spatial clustering, pseudo-bulking data, differential expression, and surveying of gene sets from other publications.Here, we include two SpatialExperiment S4 Class storage (spe) objects. The basic spe object stores the raw counts for all the Visium experiments and metadata. The processed spe object is after quality control, batch correction, data integration, unsupervised spatial clustering, cell-type deconvolution, and also contains the metadata.Also included are compressed files for the raw images of haematoxylin and eosin-stained tissue for each Visium slide.
DOI: 10.5281/zenodo.10126845
title: DataSet Auctions

description: Data set correspondiente a los remates judiciales del servicio en línea del consejo de la judicatura Ecuador
DOI: 10.5281/zenodo.10126846
title: DataSet Auctions

description: Data set correspondiente a los remates judiciales del servicio en línea del consejo de la judicatura Ecuador
DOI: 10.34740/kaggle/dsv/6968923
title: Animal Condition
DOI: 10.5066/p9mb6q11
title: Geologic map of the crater Copernicus

description: The brightly rayed crater Coperincus, one of the most familiar features of the Moon served as the type example of an impact crater in Shoemaker's (1962) classic analysis. This map shows the geology of the crater as interpreted in photographs taken by Lunar Orbiter V. A geologic map at 1:1,000,000 scale showing the regional setting of Copernicus and the extent of the rim deposits and satellite craters was prepaid from telescopic observations by Schmitt, Trask, and Shoemaker (1967).
DOI: 10.5281/zenodo.10126878
title: NEON Soil Radiocarbon Data

description: Radiocarbon measurements for megapit profiles from 17 NEON sites:
"BART" "CLBJ" "DSNY" "JERC" "NIWO" "ONAQ" "RMNP" "SCBI" "SOAP" "TALL" "UKFS" "UNDE" "WREF" "OSBS" "HARV" "CPER" "DCFS"
Updated carbon concentrations missing from subset of samples and regularized "archiveID" strings to facilitate joins with other NEON megapit data. The "archiveID" field can be used to match data in the "perarchivesample" tables from NEON.
DOI: 10.5281/zenodo.7096826
title: NEON Soil Radiocarbon Data

description: Radiocarbon measurements for megapit profiles from 17 NEON sites:
"BART" "CLBJ" "DSNY" "JERC" "NIWO" "ONAQ" "RMNP" "SCBI" "SOAP" "TALL" "UKFS" "UNDE" "WREF" "OSBS" "HARV" "CPER" "DCFS"
Updated carbon concentrations missing from subset of samples and regularized "archiveID" strings to facilitate joins with other NEON megapit data. The "archiveID" field can be used to match data in the "perarchivesample" tables from NEON.
DOI: 10.5281/zenodo.7096827
title: NEON Soil Radiocarbon Data

description: Radiocarbon measurements for megapit profiles from 17 NEON sites: "BART" "CLBJ" "DSNY" "JERC" "NIWO" "ONAQ" "RMNP" "SCBI" "SOAP" "TALL" "UKFS" "UNDE" "WREF" "OSBS" "HARV" "CPER" "DCFS"
DOI: 10.5281/zenodo.10124514
title: Reviews d'usuaris de TripAdvisor partint d'Hotels de l'àrea de Tarragona

description: Aquest és un recull de reviews (o opinions) d'usuaris seleccionats de la plataforma Trip Avisor, universalment coneguda pel seu alt contingut en restauració, hosteleria i patrimoni o activitats d'interès turístic. Aquests usuaris s'han obtingut partint de la base d'una llista d'Hotels a la zona de Tarragona. D'allí es crea una base de dades que conté 5 elements bàsics d'aquestes reviews, com son el nom de l'usuari(autor), el text descriptiu on exposa la seva opinió detalladament (contingut), el nom de l'establiment(hotel), la puntuació que se li dona (qualificacio) i el títol d'aquesta review (titol). Aquestes dades, uns més de 1800 registres al dia de la publicació, s'han emmagatzemat en format .csv separats per una coma(,).
DOI: 10.5281/zenodo.10124515
title: Reviews d'usuaris de TripAdvisor partint d'Hotels de l'àrea de Tarragona

description: Aquest és un recull de reviews (o opinions) d'usuaris seleccionats de la plataforma Trip Avisor, universalment coneguda pel seu alt contingut en restauració, hosteleria i patrimoni o activitats d'interès turístic. Aquests usuaris s'han obtingut partint de la base d'una llista d'Hotels a la zona de Tarragona. D'allí es crea una base de dades que conté 5 elements bàsics d'aquestes reviews, com son el nom de l'usuari(autor), el text descriptiu on exposa la seva opinió detalladament (contingut), el nom de l'establiment(hotel), la puntuació que se li dona (qualificacio) i el títol d'aquesta review (titol). Aquestes dades, uns més de 1800 registres al dia de la publicació, s'han emmagatzemat en format .csv separats per una coma(,).