cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26033/r34k-2238
title: Gartrelle et al. IRTF Asteroid Spectra Bundle V1.0

description: This data set is comprised of the VNIR (0.69-2.5 micron) spectra of twenty-five D-type asteroids from varying Solar System locations. The spectra were obtained from NASA/IRTF on Mauna Kea between 2016-2019 using the SpeX instrument in Low-Resolution Prism mode and the 0.8 x 15 arcse slit. Guiding was performed using spillover light from the slit (GuideDog) for targets with apparent magnitude &gt;15.5. For targets fainter than magnitude 15.5, guiding was accomplished using the MORIS CCD imager.
DOI: 10.5675/isot_trit
title: The data sets of the Federal Institute of Hydrology (BfG), the Helmholtz Zentrum München (HMGU) and the German Weather Service (DWD)

description: Dataset: the authors present
an overview of tritium data sets of the Federal Institute of Hydrology (BfG), the
Helmholtz Zentrum München (HMGU) and the German Weather Service (DWD).
Since the 1970s, all three institutions have monitored the tritium concentration at
53 surface water and 37 precipitation stations on a monthly basis. The primary purpose
of the data set was to provide baseline information for different water types all
over Germany as an integral part of the German radiation protection monitoring system.
Additionally, as geochemically inert tracer, tritium provides a unique tool to different
user groups in a wide range of research questions and applications.
description: Daten in Form von 4 Excel-Dateien. Es handelt sich dabei um Isotopendaten (Tritium) von Oberflächenwasser und Niederschlagsproben aus dem Messnetz von G4, sowie des Deutschen Wetterdienstes und des Helmholtz-Zentrum München.
DOI: 10.5281/zenodo.6262752
title: Photon time-of-flight histograms measured with a photon-counting diffuse LiDAR on Crook Glacier and Collier Glacier, Oregon

description: This data set contains photon time-of-flight histograms measured in September 2021 on Crook Glacier, Oregon, and two sites on Collier Glacier, Oregon (USA). Each data file is associated with a single measurement using a photon-counting diffuse LiDAR. The files contain a header with geo-location (WGS84) and instrument settings as well as the raw count numbers and integration time for each temporal bin. The given arrival times represent the center of each temporal bin. The color naming scheme of the file names represents the used laser wavelength (blue=405nm, green=520nm, red=640nm), the last number in each filename represents the distance between laser and detector (i.e. 1.8m at 520nm for file "green5_1.8.txt"). The data is organized in folders for each site plus an additional folder containing Matlab-code needed for data evaluation. The code uses this folder structure for relative path referencing. Data is evaluated using ExampleDataEvalV2.m, which employs the other three files as helper functions. The helper function ReadTofHisto.m reads the raw data from the measurement files and provides a named structure with the header information. If you wish to use this data set please contact Markus Allgaier at markusa@uoregon.edu with a description of the work and any questions so that we may offer guidance in regards to the best usage of our dataset. When using the data set within a publication, please cite: Markus ALLGAIER, Matthew G. COOPER, Anders E. CARLSON, Sarah W. COOLEY, Jonathan C. RYAN, Brian J. SMITH, "Direct measurement of optical properties of glacier ice using a photon-counting diffuse LiDAR", in preparation (2022)
DOI: 10.5281/zenodo.5828620
title: Photon time-of-flight histograms measured with a photon-counting diffuse LiDAR on Crook Glacier and Collier Glacier, Oregon

description: This data set contains photon time-of-flight histograms measured in September 2021 on Crook Glacier, Oregon, and two sites on Collier Glacier, Oregon (USA). Each data file is associated with a single measurement using a photon-counting diffuse LiDAR. The files contain a header with geo-location (WGS84) and instrument settings as well as the raw count numbers and integration time for each temporal bin. The given arrival times represent the center of each temporal bin. The color naming scheme of the file names represents the used laser wavelength (blue=405nm, green=520nm, red=640nm), the last number in each filename represents the distance between laser and detector (i.e. 1.8m at 520nm for file "green5_1.8.txt"). The data is organized in folders for each site plus an additional folder containing Matlab-code needed for data evaluation. The code uses this folder structure for relative path referencing. Data is evaluated using ExampleDataEvalV2.m, which employs the other three files as helper functions. The helper function ReadTofHisto.m reads the raw data from the measurement files and provides a named structure with the header information. If you wish to use this data set please contact Markus Allgaier at markusa@uoregon.edu with a description of the work and any questions so that we may offer guidance in regards to the best usage of our dataset. When using the data set within a publication, please cite: Markus ALLGAIER, Matthew G. COOPER, Anders E. CARLSON, Sarah W. COOLEY, Jonathan C. RYAN, Brian J. SMITH, "Direct measurement of optical properties of glacier ice using a photon-counting diffuse LiDAR", in preparation (2022)
DOI: 10.6084/m9.figshare.19230174
title: 3939-Brca1Br169_BRCA2

description: test
DOI: 10.6084/m9.figshare.19230174.v2
title: 3939-Brca1Br169_BRCA2

description: test
DOI: 10.6084/m9.figshare.19230174.v1
title: 3939-Brca1Br169_BRCA2

description: test
DOI: 10.25345/c5tx3574j
title: MassIVE MSV000088916 - Fc gamma Receptor IIIa / CD16a N-glycan occupancy
title: proteomics MS/MS datasets following PNGaseF digestion, a subset performed in 18O water.
DOI: 10.6084/m9.figshare.19107917
title: Biomass and abundance of fish fauna in the lower Branco River, Roraima, Northern Amazonia.

description: Biomass and abundance of fish fauna in the lower Branco River, Roraima, Northern Amazonia.
DOI: 10.6084/m9.figshare.19107917.v1
title: Biomass and abundance of fish fauna in the lower Branco River, Roraima, Northern Amazonia.

description: Biomass and abundance of fish fauna in the lower Branco River, Roraima, Northern Amazonia.
DOI: 10.6085/aa/icmdxx_xxxitv2xmsr01_20170606.40.2
title: (:unkn)
DOI: 10.6085/aa/khlx00_xxxitv2xmsr01_20170606.40.2
title: (:unkn)
DOI: 10.6085/aa/icmdxx_xxxitv2xmsr01_20170606.50.2
title: MARINe/PISCO: Intertidal: site temperature data: Cape Mendocino (ICMDXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Cape Mendocino by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/khlx00_xxxitv2xmsr01_20170606.50.2
title: MARINe/PISCO: Intertidal: site temperature data: Kibesillah Hill (KHLX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Kibesillah Hill by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.5517/ccdc.csd.cc2816j2
title: CCDC 2086533: Experimental Crystal Structure Determination

description: Related Article: Robert T. Kumah, Paranthaman Vijayan, Stephen O. Ojwach|2022|New J.Chem.|46|3146|doi:10.1039/D1NJ05657C
DOI: 10.5517/ccdc.csd.cc2816k3
title: CCDC 2086534: Experimental Crystal Structure Determination

description: Related Article: Robert T. Kumah, Paranthaman Vijayan, Stephen O. Ojwach|2022|New J.Chem.|46|3146|doi:10.1039/D1NJ05657C
DOI: 10.5517/ccdc.csd.cc282dh8
title: CCDC 2087679: Experimental Crystal Structure Determination

description: Related Article: Joshua J. Woods, Ryan Unnerstall, Abbie Hasson, Diane S. Abou, Valery Radchenko, Daniel L. J. Thorek, Justin J. Wilson|2022|Inorg.Chem.|61|3337|doi:10.1021/acs.inorgchem.1c03972
DOI: 10.5517/ccdc.csd.cc282dj9
title: CCDC 2087680: Experimental Crystal Structure Determination

description: Related Article: Joshua J. Woods, Ryan Unnerstall, Abbie Hasson, Diane S. Abou, Valery Radchenko, Daniel L. J. Thorek, Justin J. Wilson|2022|Inorg.Chem.|61|3337|doi:10.1021/acs.inorgchem.1c03972
DOI: 10.5517/ccdc.csd.cc282dkb
title: CCDC 2087681: Experimental Crystal Structure Determination

description: Related Article: Joshua J. Woods, Ryan Unnerstall, Abbie Hasson, Diane S. Abou, Valery Radchenko, Daniel L. J. Thorek, Justin J. Wilson|2022|Inorg.Chem.|61|3337|doi:10.1021/acs.inorgchem.1c03972
DOI: 10.5517/ccdc.csd.cc282dlc
title: CCDC 2087682: Experimental Crystal Structure Determination

description: Related Article: Joshua J. Woods, Ryan Unnerstall, Abbie Hasson, Diane S. Abou, Valery Radchenko, Daniel L. J. Thorek, Justin J. Wilson|2022|Inorg.Chem.|61|3337|doi:10.1021/acs.inorgchem.1c03972
DOI: 10.5517/ccdc.csd.cc282dmd
title: CCDC 2087683: Experimental Crystal Structure Determination

description: Related Article: Joshua J. Woods, Ryan Unnerstall, Abbie Hasson, Diane S. Abou, Valery Radchenko, Daniel L. J. Thorek, Justin J. Wilson|2022|Inorg.Chem.|61|3337|doi:10.1021/acs.inorgchem.1c03972
DOI: 10.5517/ccdc.csd.cc282dnf
title: CCDC 2087684: Experimental Crystal Structure Determination

description: Related Article: Joshua J. Woods, Ryan Unnerstall, Abbie Hasson, Diane S. Abou, Valery Radchenko, Daniel L. J. Thorek, Justin J. Wilson|2022|Inorg.Chem.|61|3337|doi:10.1021/acs.inorgchem.1c03972
DOI: 10.5517/ccdc.csd.cc2851wd
title: CCDC 2090233: Experimental Crystal Structure Determination

description: Related Article: Vijay Gupta, Sanjay K. Mandal|2022|Inorg.Chem.|61|3086|doi:10.1021/acs.inorgchem.1c03310
DOI: 10.5517/ccdc.csd.cc285jqq
title: CCDC 2090693: Experimental Crystal Structure Determination

description: Related Article: Ivanna Yu. Danyliuk, Valentyna S. Tolmachova, Eduard B. Rusanov, Mikhailo V. Vovk|2021|Chemistry of Heterocyclic Compounds|57|1187|doi:10.1007/s10593-021-03042-x
DOI: 10.5517/ccdc.csd.cc2894mc
title: CCDC 2094162: Experimental Crystal Structure Determination

description: Related Article: Peng-Yan Fu, Bao-Ning Li, Qiang-Sheng Zhang, Jun-Ting Mo, Shi-Cheng Wang, Mei Pan, Cheng-Yong Su|2022|J.Am.Chem.Soc.|144|2726|doi:10.1021/jacs.1c11874
DOI: 10.5517/ccdc.csd.cc2894nd
title: CCDC 2094163: Experimental Crystal Structure Determination

description: Related Article: Peng-Yan Fu, Bao-Ning Li, Qiang-Sheng Zhang, Jun-Ting Mo, Shi-Cheng Wang, Mei Pan, Cheng-Yong Su|2022|J.Am.Chem.Soc.|144|2726|doi:10.1021/jacs.1c11874
DOI: 10.6073/pasta/ec0f7bd76a92d6ce93703a6c3ac6e949
title: North Temperate Lakes LTER: Phytoplankton - Trout Lake Area 1984 - current

description: Phytoplankton samples from the seven northern Wisconsin LTER lakes in the Trout Lake area (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes and bog lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) are collected six times per year at the deep hole sampling station at the same time as our other limnological sampling is conducted. We use a peristaltic pump and tubing, collecting a separate sample from the epilimnion, metalimnion and hypolimnion for most of the lakes. For 27-2 Bog Lake, which is only 2m deep, we collect one 0-2m composite sample. The samples are preserved with Lugols iodine solution. We create a single hypsometrically pooled composite sample per lake from subsamples of the strata samples. The pooled samples are sent to PhycoTech, Inc., a private lab specializing in phytoplankton analysis, to be made into permanent slide mounts. The slide mounts, 3 slides per sample, are archived at the University of Wisconsin - Madison Zoology Museum Phytoplankton are identified to species using an inverted microscope (Utermohl technique) and are reported as natural unit (i.e., colonies, filaments, or single cells) densities per mL, cell densities per mL, and algal biovolume densities per mL. Multiple entries for the same species on the same date may be due to different variants or vegetative states - (e.g., colonial or attached vs. free cell.) Biovolumes for individual cells of each species are determined during the counting procedure by obtaining cell measurements needed to calculate volumes for geometric solids (e.g., cylinders, spheres, truncated cones) corresponding to actual cell shapes. Biovolume concentrations are then computed by mulitplying the average cell biovolume by the cell densities in the water sample. Note that one million cubicMicrometers of biovolume PerMilliliter of water are equal to a biovolume concentration of one cubicMillimeterPerMilliliter. Assuming a cell density equal to water, a cubicMillimeterPerMilliliter of biovolume converts to a biomass concentration of one milligramPerLiter. Sampling Frequency: 6 samples per year Number of sites: 7
DOI: 10.5281/zenodo.6263533
title: Raw data for "Effect of MRgFUS treatment on cortical activity in Parkinson's disease: a fNIRS study"

description: In this paper, a new combined approach, based on Magnetic Resonance-guided Focused Ultrasound Surgery (MRgFUS) technique and functional Near Infrared Spectroscopy (fNIRS), was applied for treatment and monitoring of patients affected by bilateral Parkinson’s disease (PD). On one side, MRgFUS enables non-invasive thalamotomy by combining FUS for tissue ablation and MR for targeting and monitoring. On the other side, fNIRS allows to monitor, non-invasively and without strict motion restriction even in a daily life environment, cortical neural activity related dynamics of both oxygenated and deoxygenated haemoglobin (HbO and HbR, respectively). In particular, the changes of cortical activation pattern in PD patients, with respect to age matched healthy control subjects, were analysed, while performing left and right hand finger tapping (LFT and RFT, respectively), before MRgFUS treatment, and at two different time intervals after the treatment. By comparison with the pre-treatment session, significant activations were predominantly observed one week after the treatment, with patterns recalling those of control group, and partially lost one month later, likely because of the neurodegenerative nature of PD. In addition, activations were more marked for LFT task, being the treatment performed on the right hemisphere. These results appear promising in view of the application of fNIRS for neurorehabilitation, especially in those clinical settings where traditional neuroimaging techniques cannot be applied.
description: Rad data for Fig. 2 and Fig. 6
DOI: 10.5281/zenodo.6263532
title: Raw data for "Effect of MRgFUS treatment on cortical activity in Parkinson's disease: a fNIRS study"

description: In this paper, a new combined approach, based on Magnetic Resonance-guided Focused Ultrasound Surgery (MRgFUS) technique and functional Near Infrared Spectroscopy (fNIRS), was applied for treatment and monitoring of patients affected by bilateral Parkinson’s disease (PD). On one side, MRgFUS enables non-invasive thalamotomy by combining FUS for tissue ablation and MR for targeting and monitoring. On the other side, fNIRS allows to monitor, non-invasively and without strict motion restriction even in a daily life environment, cortical neural activity related dynamics of both oxygenated and deoxygenated haemoglobin (HbO and HbR, respectively). In particular, the changes of cortical activation pattern in PD patients, with respect to age matched healthy control subjects, were analysed, while performing left and right hand finger tapping (LFT and RFT, respectively), before MRgFUS treatment, and at two different time intervals after the treatment. By comparison with the pre-treatment session, significant activations were predominantly observed one week after the treatment, with patterns recalling those of control group, and partially lost one month later, likely because of the neurodegenerative nature of PD. In addition, activations were more marked for LFT task, being the treatment performed on the right hemisphere. These results appear promising in view of the application of fNIRS for neurorehabilitation, especially in those clinical settings where traditional neuroimaging techniques cannot be applied.
description: Rad data for Fig. 2 and Fig. 6
DOI: 10.6073/pasta/409a028e57d8ddc08535316dc257d083
title: Eddy flux measurements during 2018 from low marsh site (Spartina alterniflora) within Shad Creek catchment, Rowley, Massachusetts, PIE LTER.

description: We deployed an eddy covariance system to measure ecosystem-atmosphere exchange of CO2 above a low marsh system (Spartina alterniflora) located within the Shad creek catchment off Plum Island Sound, Rowley MA. The data represents CO2 exchange for early April through early November 2018. This site was established in 2015.
DOI: 10.6073/pasta/d2a76d4057e7ffe71d92625fcb3c7768
title: Lake Wingra Exclosure Experiment at North Temperate Lakes LTER: Sampledate Conditions 2005 - 2008

description: Starting in late summer 2005, Wisconsin Dept of Natural Resources (WDNR), Dane County, Friends of Lake Wingra (FOLW), and NTL-LTER initiated a 3-year experiment in Lake Wingra to test the response of the native macrophyte community to clearer water produced from a major carp reduction program. This demonstration-scale experiment includes the construction of a 1.0-hectare rectangular carp exclosure with its solid vinyl walls extending from the lake shoreline to a water depth of 2.9 meters. NTL-LTER conducts the routine limnological monitoring of the lake and exclosure and is leading the science evaluation of potential lake restoration activities. The exclosure experiment was terminated in the fall of 2008. The exclosure was removed from Lake Wingra at that time. Sampling is done both within the exclosure and at a control site located nearby in the littoral zone. The sample location within the exclosure is equidistant from the side walls and approximately 75 meters from the shore in a water depth of approximately 2.5 meters. The control site sample location is approximately 75 meters west of the exclosure sample site at the same approximate distance from shore and water depth. Samples are taken at the same time and on the same schedule as the NTL-LTER limnological sampling on Lake Wingra, e.g., biweekly spring through summer, every 4 weeks in the fall, and once during the winter depending on ice conditions. Parameters measured within the exclosure and at the control site include water temperature, dissolved oxygen, secchi depth and chlorophyll-a. Additional parameters measured only within the exclosure include total Kjeldahl nitrogen, nitrate + nitrite nitrogen, ammonia nitrogen, total phosphorus, dissolved reactive phosphorus and dissolved reactive silica. Auxiliary data collected while sampling for the exclosure experiment. Data include time of day, air temperature, cloud cover, wave height, bottom depth, wind speed and direction. Sampling Frequency: generally bi-weekly during ice-free season from late March or early April through early September, then every 4 weeks through late November. Number of sites: 2
DOI: 10.25345/c5kd1qm7f
title: MassIVE Reanalysis RMSV000000354.5431 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ORMDL1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5q52ff0q
title: MassIVE Reanalysis RMSV000000354.5432 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FBXO42 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5fq9q650
title: MassIVE Reanalysis RMSV000000354.5433 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RSPO1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c59z90d2q
title: MassIVE Reanalysis RMSV000000354.5430 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, U2AF2 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c56688k88
title: MassIVE Reanalysis RMSV000000354.5437 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C6orf162 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c52f7js3n
title: MassIVE Reanalysis RMSV000000354.5434 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, INTS12 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.