cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/e97e5046660a7144f4b6aade41c2125d
title: North Temperate Lakes LTER: Fish Lengths and Weights 1981 - current

description: Data are collected annually to enable us to track the fish assemblages of eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, Trout, bog lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra and Fish). Sampling on Lakes Monona, Wingra, and Fish started in 1995; sampling on other lakes started in 1981. Sampling is done at six littoral zone sites per lake with seine, minnow or crayfish traps, and fyke nets; a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two sites per lake. In the bog lakes only fyke nets and minnow traps are deployed. Parameters measured include species-level identification and lengths for all fish caught, and weight and scale samples from a subset. Dominant species vary from lake to lake. Perch, rockbass, and bluegill are common, with walleye, large and smallmouth bass, northern pike and muskellunge as major piscivores. Cisco have been present in the pelagic waters of four lakes, and an exotic species, rainbow smelt, is present in two. The bog lakes contain mudminnows.
 Beach seining was discontinued after the 2019 season. The only sampling done in 2020 were a single gill-netting replicate in Sparkling, Crystal, and Trout lakes. Sampling in Fish Lake was missed in 2021 due to significant lake level changes. Data from the two bogs is missing in 2022.
 Sampling Frequency: annually Number of sites: 11.
DOI: 10.6084/m9.figshare.27291468.v1
title: Idealized_MP_PBL_TKE_SM.zip

description: Data to recreate the plots of a paper submitted to JAMES
DOI: 10.6084/m9.figshare.28462397
title: Phonon interference in single-molecule junctions

description: The data is showing the raw version of Figures from Nature Materials article
DOI: 10.6084/m9.figshare.28676993
title: Supplementary Material for: Acquired FX Deficiency in Multiple Myeloma Without Concomitant Amyloidosis- A Rare Case Report

description: This case report presents a rare occurrence of acquired Factor X (FX) deficiency in a patient with Multiple myeloma (MM) without concomitant amyloidosis. The patient, a 64-year-old male with prior diagnosis of Smoldering MM, presented with abdominal pain and chronic bloody diarrhea and was diagnosed with severe FX deficiency. Despite initial suspicion of amyloidosis, subsequent investigations ruled out its presence. Treatment with anti-myeloma therapy and supportive measures resulted in the normalization of coagulation parameters. This case underscores the importance of considering acquired FX deficiency in Plasma Cell Dyscrasia patients presenting with coagulopathy.
DOI: 10.7289/v5qz281s
title: International Satellite Cloud Climatology Project (ISCCP) Climate Data Record, H-Series

description: The International Satellite Cloud Climatology Project (ISCCP) focuses on the distribution and variation of cloud radiative properties to improve the understanding of the effects of clouds on climate, the radiation budget, and the long-term global hydrologic cycle. 

The ISCCP H-Series Climate Data Record consists of several parts: 
(1) ISCCP H-Series dataset,
(2) ISCCP-Basic H-Series, and
(3) Ancillary and input datasets. 

ISCCP H Series data
The full ISCCP dataset consists of netCDF files containing various derived cloud parameters. The H-Series data includes several products. These include:
* HXS (H-series pixel level single satellite - not in netcdf), 
* HXG (H-series pixel level gridded), 
* HGG (H-series Gridded Global), 
* HGH (H-series gridded monthly by hour), and 
* HGM ( H-series Gridded Monthly). 
The netCDF files are not structured with CF-standard names. Data variables are unitless and rely on data tables that are needed to represent each geophysical variable. Keeping ISCCP H-Series in this native format ensures that existing "power users" will be able to continue using the data.

ISCCP Basic H Series
ISCCP Basic files contains a subset of the cloud variables and products available in the full ISCCP dataset. It consists of remapped, calibrated, and subsetted variables following CF-conventions. In addition, the netCDF files follow full netCDF CF and ACDD Conventions. These files are intended to be use by new and/or less advanced users that may want to use cloud data, but do not need the full ISCCP dataset.

Ancillary and Input data
Ancillary and Input data used in the production of ISCCP are also archived. These consist of B1U geostationary satellite data, B1U and GAC calibration/HBT tables, and ancillary files for nnHIRS, AEROSOL, SNOWICE, and OZONE datasets.
DOI: 10.7289/v5x9287s
title: NOAA Climate Data Record (CDR) of Advanced Very High Resolution Radiometer (AVHRR) and High-resolution Infra-Red Sounder (HIRS) Reflectance, Brightness Temperature, and Cloud Products from Pathfinder Atmospheres - Extended (PATMOS-x), Version 6.0
DOI: 10.7927/h4b27s72
title: Documentation for the Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016
title: Documentation for the Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, v1 (1998-2016)

description: The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016 consist of annual concentrations (micrograms per cubic meter) of ground-level fine particulate matter (PM2.5), with dust and sea-salt removed. This data set combines AOD retrievals from multiple satellite instruments including NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS), Multiangle Imaging SpectroRadiometer (MISR), and the Sea-Viewing Wide Field-of-View Sensor (SeaWiFS). The GEOS-Chem chemical transport model is used to relate this total column measure of aerosol to near-surface PM2.5 concentration. Geographically Weighted Regression (GWR) is used with global ground-based measurements to predict and adjust for the residual PM2.5 bias per grid cell in the initial satellite-derived values. These estimates are primarily intended to aid in large-scale studies. Gridded data sets at 0.01 degrees are provided to allow users to agglomerate data as best meets their particular needs. Data sets are gridded at the finest resolution of the information sources that were incorporated, but do not fully resolve PM2.5 gradients at the gridded resolution due to influence by information sources at coarser resolutions. The data are distributed as GeoTIFF files and are in WGS 84 projection.
DOI: 10.1594/pangaea.742581
title: Physical oceanography during POLARSTERN cruise ANT-XII/3
DOI: 10.1594/pangaea.833299
title: Physical oceanography during POLARSTERN cruise PS82 (ANT-XXIX/9)
DOI: 10.1594/pangaea.859040
title: Physical oceanography during POLARSTERN cruise PS96 (ANT-XXXI/2 FROSN)
DOI: 10.1594/pangaea.875931
title: Physical oceanography and current meter data from mooring AWI252-1

description: Gear ID 1: SBE37, SN10931; Gear ID 2: SBE37, SN10948; Gear ID 3: RCM7/8, SN569
DOI: 10.1594/pangaea.875932
title: Physical oceanography and current meter data from mooring AWI253-1

description: Gear ID 1: SBE37, SN10929; Gear ID 2: SBE37, SN10930; Gear ID 3: RCM7/8, SN568
DOI: 10.1594/pangaea.875933
title: Physical oceanography and current meter data from mooring AWI254-1

description: Gear ID 1: SBE37, SN10928; Gear ID 2: SBE37, SN10947; Gear ID 3: RCM7/8, SN500
DOI: 10.1594/pangaea.903315
title: Physical oceanography and current meter data from mooring AWI253-2

description: Gear ID 1: SBE39/56, SN4313; Gear ID 2: SBE39/56, SN4317; Gear ID 3: SBE39/56, SN4321; Gear ID 4: SBE37, SN2088; Gear ID 5: SBE37, SN9840; Gear ID 6: RCM7/8/11, SN509
DOI: 10.17189/1519760
title: MSL MARS RADIATION ASSESSMENT DETECTOR EDR
DOI: 10.17189/1519761
title: MSL MARS RADIATION ASSESSMENT DETECTOR RDR
DOI: 10.17632/3vnxb8rs8h.1
title: Resonant infrasonic disturbances in Total-Electron-Content during a severe thunderstorm on October 23, 2021 [dataset]

description: Supplementary material for “Resonant infrasonic disturbances in Total-Electron-Content during a severe thunderstorm on October 23, 2021” these data were collected over South America region, with the following systems: 

- RINEX: IBGE (Instituto Brasileiro de Geografia e Estatistica) under the network RBMC (Rede Brasileira de Monitoramento Continuo) with open access for research and non-commercial use;
- RINEX: RAMSAC (Red Argentina de Monitoreo Satelital Continuo) with open access for research and non-commercial use, https://doi.org/10.1785/0220170162;
- RINEX: REGNA-ROU (Red Geodésica Nacional Activa de Uruguay) data is available with open access for research and non-commercial use;
- NetCDF: Instituto Nacional de Pesquisas Espaciais (INPE) under the system CPTEC (Centro de Previsão de Tempo e Estudos Climáticos), Cloud Top Brightness Temperature with open access for research and non-commercial use.
DOI: 10.17882/100680
title: Hydrological and current velocity data from moorings P1, P2, P4, P5 and P6 in the Filchner Trough region in the southern Weddell Sea, February 2017 to March 2021

description: Deep water formed around the Antarctic continent drives the world ocean circulation. More than 50% of this deep water is formed within only about 10% of the Antarctic circumpolar band: the Weddell Sea. Subtle changes in the circulation of the Weddell Sea can lead to major changes in floating ice shelves, with critical implications for global sea-level, the production of deep water, and the global ocean overturning circulation. The Filchner Trough on the continental shelf in the southern Weddell Sea plays an important role for the water mass exchange between the cold water on the continental shelf and the warm water off the continental shelf: It serves as a conduit for relatively warm water to flow southward across the continental shelf toward the Filchner Ronne Ice shelf and for the dense, cold water produced underneath the ice shelf to flow northward off the continental shelf to feed Antarctic Bottom Water. Four moorings (P1, P2, P4, P5) were places within the inflow pathway of the warm water at the northern entrance to the Filchner Trough on the continental shelf, and one mooring (P6) was placed off the continental shelf over the deep ocean. The mooring time series cover the period from February 2017 to March 2021 and are used to investigate the processes controlling the on-shore transport of relatively warm water onto the shelf toward the ice shelf and the interaction of the warm water with the cold dense water. The moorings provide observations of the circulation on the continental shelf and the temperature variability on small (tidal) to large (seasonal, interannual) time scales.
DOI: 10.25573/data.26129050.v1
title: Supplemental Information for The Distribution of LInear Virgae Across the Saturnian Moons

description: Data herein are associated with the corresponding manuscript Martin et al. 2025 submitted for publication to Geophysical Research Letters.<br>Supplemental data files include high-resolution .png version of all figures, as well as data files in both .txt and .xlsx format for the data included in Figures S1, S2, S3, S4, and S5. These data also include GIS-ready data files for maps included in Figures 1, 2, and 3 .
DOI: 10.26180/24585405.v2
title: Supplementary files include Gravity, magnetic and seismic data. Results of Euler depth solutions are added.

description: <br><b>Potential Field Data</b>HRAM: High-resolution aeromagnetic gridEMAG2_win: EMAG2v3 grid file<b>Euler Deconvolution Results</b>Euler deconvolution results of SI=0: Euler_emagV2_0.txtEuler deconvolution results of SI=1: Euler_emagV2_1.txt<br><b>DBSCAN Code</b>Script for clustering and visualisation of Euler depth solutions: Clustering_Depth _Solution.m<b>Seismic Data</b>The attached files are the supplementary files of the 2D reflection seismic line, BMR 040/22AGSO_40_Line_22_SP_1_Report__1 : BMR report that shows line location, processing protocols040R_22: Segy file of the seismic line040_navigation: Navigation information includes BMR 040/22<br>
DOI: 10.3886/icpsr29405
title: Federal Justice Statistics Program: Offenders Released From Prison, 2008
title: Archival Version

description: The data contain records of sentenced offenders released from the custody of the Bureau of Prisons (BOP) during fiscal year 2008. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. Records of offenders who exit federal prison temporarily, such as for transit to another location, to serve a weekend sentence, or for health care, are not included in the exiting cohort. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Offenders Released From Prison, 2008
description: Offenders released from the custody of the United States Bureau of Prisons during fiscal year 2008.
DOI: 10.3886/icpsr35158.v2
title: Law Enforcement Agency Identifiers Crosswalk, United States, 2012
title: Version 2

description: Criminal justice research may require merging disparate data sources that have no common match keys. The Law Enforcement Agency Identifiers Crosswalk (LEAIC) file facilitates linking reported crime data with socio-economic data. It does this by having a record for each law enforcement agency, law enforcement reporting entity, and access identifier for the National Crime Information Center (NCIC). Essentially, if an entity (law enforcement agency or section of a law enforcement agency) is capable of reporting crime information, it is included in the file. The LEAIC records contain common match keys for merging reported crime data and Census Bureau data. These linkage variables include the Originating Agency Identifier (ORI) code, Federal Information Processing Standards (FIPS) state, county and place codes, and Governments Integrated Directory government identifier codes.
description: The Law Enforcement Agency Identifiers Crosswalk (LEAIC) file is primarily designed to apply geographic and government information to records representing law enforcement agencies.
description: Datasets: DS1: Law Enforcement Agency Identifiers Crosswalk, United States, 2012
description: State and local police agencies, police reporting entities, and police-related access to the NCIC. Smallest Geographic Unit: city
description: record abstracts
DOI: 10.5066/f7gb230d
title: Global Land Cover Characterization (GLCC)

description: Global Land Cover Characterization (GLCC) is a series of global land cover classification datasets that are based primarily on the unsupervised classification of 1-km AVHRR (Advanced Very High Resolution Radiometer) 10-day NDVI (Normalized Difference Vegetation Index ) composites. The AVHRR source imagery dates from April 1992 through March 1993. Ancillary data sources included digital elevation data, ecoregions interpretation, and country- or regional-level vegetation and land cover maps. The following classifications are included in the GLCC database: Global Ecosystems IGBP Land Cover Classification U.S. Geological Survey Land Use/Land Cover System Simple Biosphere Model Simple Biosphere 2 Model Biosphere Atmosphere Transfer Scheme Vegetation Lifeform All of the GLCC classifications consist of raster images that contain class number values for each pixel that correspond to the appropriate classification scheme legend. Legends for each of the derived datasets are listed in the Appendix of the GLCC README. All GLCC data is available in two forms: GLCC (by continent) provides the GLCC classifications, as well as monthly NDVI composites, on a continent-by-continent basis (Africa, North America, South America, Eurasia, and Australia/Pacific). The continent GLCC data is available in the Interrupted Goode Homolosine or in the Lambert Azimuthal Equal-Area projection. Nominal spatial resolution is 1 kilometer. GLCC (global) data consists of the continent GLCC datasets which have been combined to produce a set of global GLCC composites. The global data is available in either the Interrupted Goode Homolosine or in geographic (latitude/longitude) coordinates. Nominal spatial resolution is 1 kilometer. For every GLCC dataset, there are two versions available. Version 1 consists of GLCC data which has undergone complete accuracy assessment. Version 2 is updated GLCC which reflects additional data and sources, but accuracy assessment has not been completed.
DOI: 10.5067/aura/omi/data2017
title: OMI/Aura Nitrogen Dioxide (NO2) Total and Tropospheric Column 1-orbit L2 Swath 13x24 km
DOI: 10.5281/zenodo.10114637
title: Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instability

description: This repository contains the data used to generate the figures in paper: Cell-cycle dependent DNA repair and replication unifies patterns of chromosome instability.
DOI: 10.5281/zenodo.10830028
title: Changes in the factors influencing forest floor BVOC emissions during forest succession

description: The files have been uploaded to comply with AGU and journal requirements, particularly the "Open Research" section, which provides links to the data and analytical code necessary for the peer review process. This initiative aims to support transparent and reproducible science. 



Data analysis and the ploting of Figure2 in manuscript, along with Figure S1-S3 and Table S1-S4 in supporting information, were conducted using R Studio. The file "Forest floor BVOC emissions_analyses and plots.R" and datasets "ForestFloor.csv", "boxplot_BVOC_ca.csv", "boxplot_BVOC_fi.csv", "boxplot_BVOC_ru.csv", "SamplingSite_1.csv" were utilized for this purpose.

To generate Figure 3 in the manuscript, the file "SIMCA 18 for Fig 3.dox" and dataset "ForestFloor.xlsx" were used. The word file provide the the trial software link. 

For the analysis and ploting of Figure 4 in the manuscript, the file "PLS_PM.R" and dataset "BVOC_PLSR_PM.csv" were employed. 

The file "For Fig S4.xlsx" was used to create Figure S4 in the supporting information. 


Abstract in article

The boreal forest floor is a crucial source of diverse biogenic volatile organic compounds (BVOCs) emitted into the atmosphere. Climate change is increasing in the frequency of wildfires in the boreal forest, major disturbances with lasting impacts on the ecosystem, particularly the forest floor. Wildfires changed BVOC sources and emissions, influencing aerosol formation during forest succession across various age classes. This study quantified BVOC emissions from the forest floor and characterized microenvironmental conditions, including abiotic factors (air temperature, soil temperature, soil moisture, light intensity) and biotic factors (ground vegetation composition, species coverage, soil respiration). Our objective was to understand how abiotic and biotic factors influence the forest floor BVOC emissions during forest succession. Path models revealed direct influences of ground vegetation composition on isoprene and monoterpene emissions. Sesquiterpene emissions were mainly regulated by abiotic factors, while isoprene and monoterpene emissions were influenced both directly and indirectly by abiotic factors. The indirect impact of abiotic factors was manifested through biotic factors, including vegetation and soil processes. Effect sizes of influencing factors varied across different forest age areas, with temperature exerting a larger impact in earlier burned areas compared to recently burned areas. The influence of soil moisture on BVOC emissions diminished with forest age. Our findings indicated the importance of identifying influencing factors and their relationship with forest floor BVOC emissions during different stages of forest succession for predicting the effect of post-wildfire forest succession on the BVOC emission patterns and, consequently, their impact on climate.
DOI: 10.5281/zenodo.13928969
title: CytoNorm2.0 use case data

description: The flow cytometry data was collected in the context of a clinical study to evaluate adjuvant dendritic cell based vaccination for malignant peritoneal mesothelioma (doi: 10.1136/jitc-2023-007070). In this study, six cytometry panels were measured on cryopreserved peripheral blood mononuclear cell (PBMC) samples of 14 patients at three consecutive time points during their therapy. The patients were recruited in two phases: a first set of nine patients and a second set of 5 patients. As a consequence, the flow cytometry analysis was also done at two distinct days (both on a FACSymphony A5, BD Biosciences) and no technical replicates were measured. To illustrate the functionalities of CytoNorm 2.0, we selected a small subset of this data. Two panels and eight patients with three time points each were selected, equally distributed over the two inclusion cohorts, resulting in 48 fcs files. The raw fcs files were compensated and transformed, and margin events, low quality events and non-B cells were removed using a preprocessing workflow that was described in literature (doi: 10.1038/s41596-021-00550-0).
DOI: 10.5281/zenodo.14184369
title: Supporting data for "Geodetic monitoring of elastic and inelastic deformation in compacting reservoirs due to subsurface operations"

description: Supporting data for "Geodetic monitoring of elastic and inelastic deformation in compacting reservoirs due to subsurface operations" 

Yuexin Li1*, Mateo Acosta1, Krittanon Sirorattanakul1, Stephen Bourne2, and Jean-Philippe Avouac1

1 Division of Geological and Planetary Sciences, California Institute of Technology, USA2 Shell Global Solutions International, Amsterdam, The Netherlands

Nov 2024Contact: Yuexin Li (yuexinli@berkeley.edu, yuexinli.sar@gmail.com)

 

This study was supported by the NSF/Industry-University Collaborative Research Center 'Geomechanics and Mitigation of Geohazards' (National Science Foundation award # 1822214), and the Enhancement Project GMG-3 funded by Nederlandse Aardolie Maatschappij (NAM). M.A acknowledges funding from the Swiss National Science Foundation through grant P2ELP2195127 and from Caltech’s Resnick sustainability institute. We would like to acknowledge NAM for granting the access and permitting to present the InSAR and GNSS data.
DOI: 10.5281/zenodo.14277752
title: The Influence of Diatoms on Hydromechanical Properties of Marine Sediments

description: Each tab represents the data necessary to re create the graphs in the associated paper "The Influence of Diatoms on Hydromechanical Properties of Marine Sediments". The tabs are in the same order chronoligically as the graphs in the paper.
DOI: 10.5281/zenodo.14550433
title: Data for "Modelling the dense granular flow rheology of particles with different surface friction: implications for geophysical mass flows"

description: Data and codes needed to replicate all figures in the paper.