cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23245646.v1
title: Figure 7 median recovery times 20 strata

description: The median recovery times estimated from the Kaplan-Meier curves. The dataset was stratified into 20 classes according to the values of the six variables (120 curves constructed) to assess how the variables affected post-fire recovery. The results are plotted in Figure 7.<br>Columns -vegetation: grassland fires or shrubland firesstrata: stratamedian: median recovery time to the next successional stagelower: lower boundary of the confidence intervals (95% CI) of the median recovery timesupper: upper boundary of the confidence intervals (95% CI) of the median recovery timesvariable: variable assessed by stratificationvalue: value of the variable assessed by stratification<br><br>
DOI: 10.6084/m9.figshare.23245646
title: Figure 7 median recovery times 20 strata

description: The median recovery times estimated from the Kaplan-Meier curves. The dataset was stratified into 20 classes according to the values of the six variables (120 curves constructed) to assess how the variables affected post-fire recovery. The results are plotted in Figure 7.<br>Columns -vegetation: grassland fires or shrubland firesstrata: stratamedian: median recovery time to the next successional stagelower: lower boundary of the confidence intervals (95% CI) of the median recovery timesupper: upper boundary of the confidence intervals (95% CI) of the median recovery timesvariable: variable assessed by stratificationvalue: value of the variable assessed by stratification<br><br>
DOI: 10.6084/m9.figshare.24851241
title: 20231219_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24851241.v1
title: 20231219_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.34740/kaggle/ds/4185926
title: Tate & Morgan Viral Interview: 50K YT Comments
DOI: 10.5281/zenodo.10400647
title: Meteograms of Ny-Ålesund for ICON-LEM maritime aerosols simulations

description: This data contains the simulation data as meteogram from ICON-LEM simulations with ca. 600 m resolution. The output location is Ny-Ålesund. The data is for the months Aug and Oct 2021. This data was used in the PhD thesis of Theresa Kiszler. Thesis title: "Improving our understanding of cloud phase-partitioning using long-term cloud-resolving simulations of Svalbard".

The original simulation setup is is described in the method section of the paper "A Performance Baseline for the Representation of Clouds and Humidity in Cloud-Resolving ICON-LEM Simulations in the Arctic" by Kiszler et al. (2023).  https://doi.org/10.1029/2022MS003299

The following adaptation has been made to the simulation settings: The CCN activation is based on a version by Segal and Khain (2006) using the lowest possible number concentration, i.e. maritime aerosols. The INP nucleation follows the paper by Phillips et al. (2008) only using dust as aerosol. The implementation of the mentioned schemes was not done by us, only the settings were changed to use these schemes instead of the default version.
DOI: 10.5281/zenodo.10400633
title: Meteograms of Ny-Ålesund for ICON-LEM default aerosols simulations

description: This data contains the simulation data as meteogram from ICON-LEM simulations with ca. 600 m resolution. The output location is Ny-Ålesund. The data is for the months Aug and Oct 2021. This data was used in the PhD thesis of Theresa Kiszler. Thesis title: "Improving our understanding of cloud phase-partitioning using long-term cloud-resolving simulations of Svalbard".

The simulation setup is is described in the method section of the paper "A Performance Baseline for the Representation of Clouds and Humidity in Cloud-Resolving ICON-LEM Simulations in the Arctic" by Kiszler et al. (2023).  https://doi.org/10.1029/2022MS003299
DOI: 10.5281/zenodo.10400648
title: Meteograms of Ny-Ålesund for ICON-LEM maritime aerosols simulations

description: This data contains the simulation data as meteogram from ICON-LEM simulations with ca. 600 m resolution. The output location is Ny-Ålesund. The data is for the months Aug and Oct 2021. This data was used in the PhD thesis of Theresa Kiszler. Thesis title: "Improving our understanding of cloud phase-partitioning using long-term cloud-resolving simulations of Svalbard".

The original simulation setup is is described in the method section of the paper "A Performance Baseline for the Representation of Clouds and Humidity in Cloud-Resolving ICON-LEM Simulations in the Arctic" by Kiszler et al. (2023).  https://doi.org/10.1029/2022MS003299

The following adaptation has been made to the simulation settings: The CCN activation is based on a version by Segal and Khain (2006) using the lowest possible number concentration, i.e. maritime aerosols. The INP nucleation follows the paper by Phillips et al. (2008) only using dust as aerosol. The implementation of the mentioned schemes was not done by us, only the settings were changed to use these schemes instead of the default version.
DOI: 10.5281/zenodo.10400632
title: Meteograms of Ny-Ålesund for ICON-LEM default aerosols simulations

description: This data contains the simulation data as meteogram from ICON-LEM simulations with ca. 600 m resolution. The output location is Ny-Ålesund. The data is for the months Aug and Oct 2021. This data was used in the PhD thesis of Theresa Kiszler. Thesis title: "Improving our understanding of cloud phase-partitioning using long-term cloud-resolving simulations of Svalbard".

The simulation setup is is described in the method section of the paper "A Performance Baseline for the Representation of Clouds and Humidity in Cloud-Resolving ICON-LEM Simulations in the Arctic" by Kiszler et al. (2023).  https://doi.org/10.1029/2022MS003299
DOI: 10.5281/zenodo.10397261
title: Régi Magyar Költők Tára, XVII. század, 16.
DOI: 10.5281/zenodo.10397262
title: Régi Magyar Költők Tára, XVII. század, 16.
DOI: 10.6073/pasta/3f6edc0b91c0f0999ad373e267ff56a5
title: Shell length and dry tissue weight relationship of the mollusk Ostrea lurida (Olympia Oyster) in the low and subtidal zones of the San Diego River, California: 2016-2017.

description: Data was collected to look at the relationship between the dry tissue weight and the shell length of Ostrea lurida in the San Diego River, and use the data to compare it to other estuaries O. lurida inhabit along the west coast of North America. Sampling was done in the low and sub intertidal zones along the delta of the San Diego River from October 2016 through September 2017. A fifty meter transect was chosen to collect samples which was broken up into five 10 meter transects. In each of these 10-m transects, 0.5 X 0.5 m quadrats were randomly selected for oyster assessments. Oysters were removed by physical removal by hand. Once back in the lab shell lengths were measured and dry weights were obtained.
DOI: 10.6084/m9.figshare.24593205
title: CITES Listed Reptile Trade 2000-2020

description: The data used in this dataset was retrieved from the CITES Trade Database at "trade.cites.org". This dataset contains exporter-reported directional trade records for CITES-listed reptiles between 2000 and 2020. This dataset only contains trade records with the source code (C, D, F, R, W, and X) and purpose code (P or T). All records were converted to whole organism equivalents.
DOI: 10.5281/zenodo.10402045
title: Metadata of Rotterdam Oncology Documentation (RONCDOC)

description: Metadata of retrospective medical data and pathological data of Head and Neck oncology adult patients from the Erasmus Medical Center in Rotterdam.

Patients including from  jan-2006 till dec-2023 and still ongoing.

Number of patients included today (18-12-2023) : 7571 (Male: 5353, Female: 2216; 2 unknown)
DOI: 10.5281/zenodo.10402046
title: Metadata of Rotterdam Oncology Documentation (RONCDOC)

description: Metadata of retrospective medical data and pathological data of Head and Neck oncology adult patients from the Erasmus Medical Center in Rotterdam.

Patients including from  jan-2006 till dec-2023 and still ongoing.

Number of patients included today (18-12-2023) : 7571 (Male: 5353, Female: 2216; 2 unknown)
DOI: 10.5066/p92jlwrm
title: Density raster of caves in Monroe County, West Virginia

description: Monroe County, in southeastern West Virginia, hosts world-class karst within carbonate units of Mississippian and Ordovician age. There are at least 412 known caves in the county. Location data for these caves were collected from the West Virginia Speleological Survey (WVASS) Bulletin 22 (Dasher, 2019). Point features were created in ArcGIS Pro for each cave location and were used to make a point density raster. This raster displays the number of cave points per square kilometer.
DOI: 10.5066/p9o85k6t
title: Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia

description: Monroe County in southeastern West Virginia hosts world-class karst within carbonate units of Mississippian and Ordovician age. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which surface depressions were identified using a semi-automated workflow in ArcGIS. Depressions in the automated inventory were systematically checked by a geologist within a grid of 1.5 square kilometer tiles using aerial imagery, lidar-derived imagery, and 3D viewing of the lidar imagery. Distinguishing features such as modification by human activities or hydrological significance (stream sink, ephemerally ponded, etc.) were noted wherever relevant to a particular depression. Relative confidence in depression identification was provided and determined by whether the depression was visible in the lidar imagery, aerial imagery, or both. Statistics on the geometric morphometry of each depression were calculated including perimeter, area, depth, length of major and minor elliptical axes, and azimuth of the major axis. Center points were created for each surface depression and were used to create a point density raster. The density raster displays the number of closed depression points per square kilometer.
DOI: 10.5066/p9kf9fd2
title: Fluorescein and Rhodamine WT concentration and recovery data for select samples collected in Monroe County, West Virginia, in August and September 2019

description: Fluorescein and Rhodamine WT dye-tracer injections were performed in Monroe County, West Virginia to determine groundwater flow paths and identify the location of the groundwater divide within the Greenbrier karst aquifer in the area south of Union, West Virginia. Fluorescein was injected in a swallet on Burnside Branch upstream of Steel's cave (37° 33' 56.0" latitude -80° 32' 57.6" longitude) and Rhodamine WT was injected into a swallet at the contact of the Hillsdale Limestone and Maccrady Shale in the headwaters of Taggart Branch (37° 33' 17.8" latitude -80° 28' 29.0" longitude). Data collected from these tracer injections supported interpretations made by Jones (1997) with some refinements. The first table contains concentration of Fluorescein dye recovered at Dickson Spring in micrograms per liter (µg/L), mass of dye recovered at Dickson Spring in micrograms (µg) for each 8-hour sample, a cumulative running total mass of dye recovered at Dickson Spring in µg, and percent recovery of dye at Dickson Spring. Data were collected on an 8-hour interval with an automated sampler, so time of collection for each sample is denoted for each sample. Percent recovery is based on using one discharge measurement of 6.87 cubic feet per second (cfs) near the end of the recovery period. The second table contains concentration of Rhodamine WT in µg/L dye recovered at two sites: the resurgence from Steel's Cave and in Indian Creek at Salt Sulphur Springs, along with a cumulative running total mass of dye recovered at Steel's Cave in µg, and percent recovery of dye recovered at Steel's Cave. Data were collected manually once per day usually in midafternoon, but actual collection times of samples were not reported. The percent recovery calculation assumed a constant discharge at the spring of 0.59 cfs based on one measurement during the recovery period. It could not be determined whether dye detected in Indian Creek at Red Sulphur contained additional emergence or was simply the mass of dye that discharged upstream at the outlet from Steel's Cave. As a result, the mass, running cumulative total amount, and percent of dye recovery were not calculated for the Indian Creek at Salt Sulphur Springs monitoring site. Results of the tests, including a map showing locations of tracer injection and monitoring points, dye travel paths, previous tracer tests conducted in Monroe County, and a refinement of karst groundwater basins defined within the Greenbrier aquifer by Jones (1997) are presented in the accompanying USGS Scientific Investigations Report 2023-5121 to this data release. This data release contains two comma-delimited data files. Fluorescein_Data.csv contains data for select samples collected in Monroe County, West Virginia, in August and September 2019. Rhodamine_WT_Data.csv contains data for a tracer test conducted in Monroe County, West Virginia, July 2019.
DOI: 10.5517/ccdc.csd.cc25g6c7
title: CCDC 2009648: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara di Gregorio, Vivek Singh, Linda J. W. Shimon, Michal Lahav, Milko E. van der Boom|2022|J.Am.Chem.Soc.|144|22838|doi:10.1021/jacs.2c09785
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.cc25g6d8
title: CCDC 2009649: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara di Gregorio, Vivek Singh, Linda J. W. Shimon, Michal Lahav, Milko E. van der Boom|2022|J.Am.Chem.Soc.|144|22838|doi:10.1021/jacs.2c09785
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.cc291y7k
title: CCDC 2117028: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara di Gregorio, Vivek Singh, Linda J. W. Shimon, Michal Lahav, Milko E. van der Boom|2022|J.Am.Chem.Soc.|144|22838|doi:10.1021/jacs.2c09785
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.cc291y8l
title: CCDC 2117029: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara di Gregorio, Vivek Singh, Linda J. W. Shimon, Michal Lahav, Milko E. van der Boom|2022|J.Am.Chem.Soc.|144|22838|doi:10.1021/jacs.2c09785
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.cc291y9m
title: CCDC 2117030: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara di Gregorio, Vivek Singh, Linda J. W. Shimon, Michal Lahav, Milko E. van der Boom|2022|J.Am.Chem.Soc.|144|22838|doi:10.1021/jacs.2c09785
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.cc291ybn
title: CCDC 2117031: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara di Gregorio, Vivek Singh, Linda J. W. Shimon, Michal Lahav, Milko E. van der Boom|2022|J.Am.Chem.Soc.|144|22838|doi:10.1021/jacs.2c09785
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.cc2cn27c
title: CCDC 2194032: Experimental Crystal Structure Determination

description: Related Article: Shu-Ting Guo, Peng-Fei Cui, Xin-Ran Liu, Guo-Xin Jin|2022|J.Am.Chem.Soc.|144|22221|doi:10.1021/jacs.2c10201
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.cc2cn29f
title: CCDC 2194034: Experimental Crystal Structure Determination

description: Related Article: Shu-Ting Guo, Peng-Fei Cui, Xin-Ran Liu, Guo-Xin Jin|2022|J.Am.Chem.Soc.|144|22221|doi:10.1021/jacs.2c10201
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.cc2cn2bg
title: CCDC 2194035: Experimental Crystal Structure Determination

description: Related Article: Shu-Ting Guo, Peng-Fei Cui, Xin-Ran Liu, Guo-Xin Jin|2022|J.Am.Chem.Soc.|144|22221|doi:10.1021/jacs.2c10201
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.cc2cngq7
title: CCDC 2194419: Experimental Crystal Structure Determination

description: Related Article: Shu-Ting Guo, Peng-Fei Cui, Xin-Ran Liu, Guo-Xin Jin|2022|J.Am.Chem.Soc.|144|22221|doi:10.1021/jacs.2c10201
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: 10.5066/p94vqo8e
title: Conterminous United States Terrestrial Ecosystems

description: These data were released prior to the October 1, 2016 effective date for the USGS's policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release.

The U.S. Geological Survey (USGS) modeled the distribution of terrestrial ecosystems for the contiguous United States using a standardized, deductive approach to associate unique physical environments with ecological systems characterized in NatureServe's Ecological Systems of the United States classification (Comer et al., 2003). This approach was first developed for South America (Sayre et al., 2008) and is now being implemented globally (Sayre et al., 2007). Unique physical environments were delineated from a massive biophysical stratification of the nation into the major structural components of ecosystems: biogeographic regions (Cress et al., 2008c), land surface forms (Cress et al., 2008a), surficial lithology (Cress et al., 2008d), and topographic moisture potential (Cress et al., 2008b). Each of these structural components was mapped for the contiguous United States and then spatially combined to produce ecosystem structural footprints which represented unique abiotic (physical) environments. Among 49,168 unique structural footprint classes, 13,482 classes which met a minimum pixel count threshold (20,000 pixels) were aggregated into 419 NatureServe ecosystems through semi-automated labeling process using rule set formulations for attribution of each ecosystem.

UPDATE: A newer terrestrial ecosystems datalayer, "World Terrestrial Ecosystems (WTE) 2020", is now available at: https://doi.org/10.5066/P9DO61LP. This datalayer is a global raster dataset at a 250 m spatial resolution where 431 ecosystem types are identified and mapped. Each ecosystem type is a unique combination of vegetation/land cover, climate region, and landform.
DOI: 10.5517/ccdc.csd.cc2d4v9q
title: CCDC 2209193: Experimental Crystal Structure Determination

description: Related Article: Shu-Ting Guo, Peng-Fei Cui, Xin-Ran Liu, Guo-Xin Jin|2022|J.Am.Chem.Soc.|144|22221|doi:10.1021/jacs.2c10201
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.cc2db0vm
title: CCDC 2214170: Experimental Crystal Structure Determination

description: Related Article: Maria Chiara di Gregorio, Vivek Singh, Linda J. W. Shimon, Michal Lahav, Milko E. van der Boom|2022|J.Am.Chem.Soc.|144|22838|doi:10.1021/jacs.2c09785
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.cc2cn28d
title: CCDC 2194033: Experimental Crystal Structure Determination

description: Related Article: Shu-Ting Guo, Peng-Fei Cui, Xin-Ran Liu, Guo-Xin Jin|2022|J.Am.Chem.Soc.|144|22221|doi:10.1021/jacs.2c10201
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.