cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-12.2654156/2228231
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654206/2228232
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654406/2228233
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2659522/2228234
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654199/2228235
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2658884/2228236
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654228/2228237
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654159/2228238
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654405/2228239
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2659549/2228240
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654173/2228241
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654158/2228242
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2659593/2228243
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2658992/2228244
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2659680/2228245
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654180/2228246
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654178/2228247
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654154/2228248
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2654219/2228249
title: Data for EMSL Project 51127 from December 2022
DOI: 10.25582/data.2022-12.2657159/2228250
title: Data for EMSL Project 51240 from December 2022
DOI: 10.25582/data.2022-12.2657220/2228251
title: Data for EMSL Project 51240 from December 2022
DOI: 10.25984/2228280
title: Utility-Scale Solar, 2022 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)

description: Berkeley Labs "Utility-Scale Solar", 2022 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developments in 2021, this report explores trends in deployment, technology, capital and operating costs, capacity factors, the levelized cost of solar energy (LCOE), power purchase agreement (PPA) prices, wholesale market value, and interconnection queue data.
DOI: 10.25984/2228281
title: Transient Data Library of Solar Grid Integrated Distributed System

description: This submission contains an open-source library of transient events in distributed system with high solar PV. The library includes the collected data, related documents and scripts for loading the data. The data library is built for transient event detection and machine learning based analysis algorithm development. The data was collected via both field test and software simulation. The units for the data are included in the data file headers for each data series. A text editor or spreadsheet software, such as Excel, and Matlab is required to view the data.
DOI: 10.25984/2228282
title: Sample IEEE123 Bus system for OEDI SI

description: Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder), but some modifications were made to it to add some solar power modules and measurements on the system. The aim of this project is to create an easy-to-use platform where various types of analytics can be performed on a wide range of electrical grid datasets. The aim is to establish an open-source library of algorithms that universities, national labs and other developers can contribute to which can be used on both open-source and proprietary grid data to improve the analysis of electrical distribution systems for the grid modeling community. OEDI Systems Integration (SI) is a grid algorithms and data analytics API created to standardize how data is sent between different modules that are run as part of a co-simulation. The readme file included in the S3 bucket provides information about the directory structure and how to use the algorithms. The sensors.json file is used to define the measurement locations.
DOI: 10.5517/ccdc.csd.cc2gw06l
title: CCDC 2290069: Experimental Crystal Structure Determination

description: Related Article: Dominika Fedorowicz, Katarzyna Ślepokura, Julia Kłak, Maciaj Witwicki, Janusz Gregoliński|2023|Dalton Trans.|52|16123|doi:10.1039/D3DT02993J
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.cc2gw07m
title: CCDC 2290070: Experimental Crystal Structure Determination

description: Related Article: Dominika Fedorowicz, Katarzyna Ślepokura, Julia Kłak, Maciaj Witwicki, Janusz Gregoliński|2023|Dalton Trans.|52|16123|doi:10.1039/D3DT02993J
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.cc2gw08n
title: CCDC 2290071: Experimental Crystal Structure Determination

description: Related Article: Dominika Fedorowicz, Katarzyna Ślepokura, Julia Kłak, Maciaj Witwicki, Janusz Gregoliński|2023|Dalton Trans.|52|16123|doi:10.1039/D3DT02993J
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.cc2gy37s
title: CCDC 2292085: Experimental Crystal Structure Determination

description: Related Article: Fabio Montisci, Arianna Lanza, Martin Fisch, Camille Sonneville, Yan Geng, Silvio Decurtins, Christian Reber, Shi-Xia Liu, Piero Macchi|2023|Phys.Chem.Chem.Phys.(PCCP)|25|31410|doi:10.1039/D3CP04220K
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.cc2gy38t
title: CCDC 2292086: Experimental Crystal Structure Determination

description: Related Article: Fabio Montisci, Arianna Lanza, Martin Fisch, Camille Sonneville, Yan Geng, Silvio Decurtins, Christian Reber, Shi-Xia Liu, Piero Macchi|2023|Phys.Chem.Chem.Phys.(PCCP)|25|31410|doi:10.1039/D3CP04220K
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.cc2gy39v
title: CCDC 2292087: Experimental Crystal Structure Determination

description: Related Article: Fabio Montisci, Arianna Lanza, Martin Fisch, Camille Sonneville, Yan Geng, Silvio Decurtins, Christian Reber, Shi-Xia Liu, Piero Macchi|2023|Phys.Chem.Chem.Phys.(PCCP)|25|31410|doi:10.1039/D3CP04220K
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.cc2gz1gz
title: CCDC 2292991: Experimental Crystal Structure Determination

description: Related Article: Zhaoxue Wang, Ge Tian, Yuying Shi, Wanxing Liu, Xiangdong Xu, Xiaojing Li, Lingang Wu, Lei Xie|2023|Org.Biomol.Chem.|21|9200|doi:10.1039/D3OB01440A
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: 10.17632/nz8hm5z4y5.1
title: Laboratory aseismic stable fracture slip subject to fluid injection-related stress paths 

description: This dataset archived here acts as supplementary material to the study entitled by "Laboratory aseismic stable fracture slip subject to fluid injection-related stress paths" by Wenzhuo Cao, Ru Zhang, Xiaofang Nie, and Li Ren*. This work has been submitted for publication in Geophysical Research Letters as a research letter in 2022.

The dataset contains stress, pore pressure, slip displacement and acoustic emission (AE) characteristics recorded from four fluid injection-related fracture slip experiments performed on shale samples. The four files named by "Experiment data 1""Experiment data 2""Experiment data 3""Experiment data 4" provide stress, pore pressure, and slip displacement time histories during each fracture slip experiment. The four files named by "AE data 1""AE data 2""AE data 3""AE data 4" provide the time, 3D coordinates and released energy for recorded AE events during each fracture slip experiment. Definition of each column along with the unit is indicated in the corresponding header of the data tables.
DOI: 10.17632/nz8hm5z4y5.2
title: Laboratory fracture slip and seismicity subjected to novel fluid injection-related stress paths

description: This dataset archived here acts as supplementary material to the study entitled by "Laboratory fracture slip and seismicity subjected to novel fluid injection-related stress paths" by Wenzhuo Cao, Ru Zhang, Xiaofang Nie, and Li Ren*. This work has been submitted for publication in Journal of Geophysical Research: Solid Earth as a research paper in 2023.

The dataset contains stress, pore pressure, slip displacement and acoustic emission (AE) characteristics recorded from four fluid injection-related fracture slip experiments performed on a shale sample. The four files named by "Experiment data 1""Experiment data 2""Experiment data 3""Experiment data 4" provide stress, pore pressure, and slip displacement time histories during each fracture slip experiment. The four files named by "AE data 1""AE data 2""AE data 3""AE data 4" provide the time, 3D coordinates and released energy for recorded AE events during each fracture slip experiment. Definition of each column along with the unit is indicated in the corresponding header of the data tables.
DOI: 10.17632/nz8hm5z4y5.3
title: Laboratory fracture slip and seismicity subjected to fluid injection-related stress and pressure paths

description: This dataset archived here acts as supplementary material to the study entitled by "Laboratory fracture slip and seismicity subjected to fluid injection-related stress and pressure paths" by Wenzhuo Cao, Ru Zhang, Xiaofang Nie, and Li Ren*. This work has been published in Rock Mechanics and Rock Engineering as a research paper in 2023. The dataset contains stress, pore pressure, slip displacement and acoustic emission (AE) characteristics recorded from four fluid injection-related fracture slip experiments performed on a shale sample. The four files named by "Experiment data 1""Experiment data 2""Experiment data 3""Experiment data 4" provide stress, pore pressure, and slip displacement time histories during each fracture slip experiment. The four files named by "AE data 1""AE data 2""AE data 3""AE data 4" provide the time, 3D coordinates and released energy for recorded AE events during each fracture slip experiment. Definition of each column along with the unit is indicated in the corresponding header of the data tables.
DOI: 10.17632/tmwjbk55cp.1
title: Examining Gender Trends in Physician Assistant Authorship: A Bibliometric Analysis of JAAPA and JPAE.

description: Data set for article, "Examining Gender Trends in Physician Assistant Authorship: A Bibliometric Analysis of JAAPA and JPAE."
DOI: 10.17632/rn43h5g585.1
title: Data for Lipidomic composition, caloric content, and novel oxidation products from microbial communities within seasonal pack ice cores

description: This repository contains the applicable data and code for the results of the paper "Lipidomic composition, caloric content, and novel oxidation products from microbial communities within seasonal pack ice cores" by Holm et al. 2023. These data includes compound annotations of lipid molecules from sea ice cores on the western Antarctic peninsula as well as calculations for quantification of these compounds. If you have any questions or inquiries about this, please do not hesitate to contact me at hholm@mit.edu.

Data
Ice_Core_Lipid_5ppm_antd.csv: This file contains raw lipid annotations (rows) for compounds from sea ice samples (columns starting with "QE0-") . Column A designates the lipid annotations retained for analysis in the study. All units for sample columns are the integrated peak area from raw files. Additional compound metadata (columns B-T, MW-OD) includes chemical formula, retention time, adduct mass, and annotation validation information. For a complete interpretation of these annotation metadata columns see Collins et al. 2018 and the LOBSTAHS R software package:
(https://bioconductor.org/packages/release/bioc/html/LOBSTAHS.html).

Ice_Core_metadata.xlsx: This file contains sample metadata for ice core samples. Sample location information (filename, site, sample number, ect.) are shown in the first eight column. The length of the core segment, as well as the top and bottom depths of the segment in the total core are shown in column I-K. Volumes of the ice melt are shown in L-P.

Curve_Compare.csv: This file contains the relative response factors for thirty eight triacylglycerol (TAG) standard as compared to an intact polar lipid standard (DNPPE) on the studies HPLC-ESI-MS system. Columns contain each TAGs carbon, double bonds, and equivalent carbon numbers. RFF shows the relative response to DNPPE (TAG/DNPPE) and the inverse (DNPPE/TAG). Last column lists the standards curves origin. 

Code
Holm_2023_IceCore contains R code for compound quantification and then figure generation in the study. Holm_2023_TAG_Model contains code for modeling response factors of TAG compounds.
DOI: 10.17632/rn43h5g585.2
title: Data for Lipidomic composition, caloric content, and novel oxidation products from microbial communities within seasonal pack ice cores

description: This repository contains the applicable data and code for the results of the paper "Lipidomic composition, caloric content, and novel oxidation products from microbial communities within seasonal pack ice cores" by Holm et al. 2023. These data includes compound annotations of lipid molecules from sea ice cores on the western Antarctic peninsula as well as calculations for quantification of these compounds. If you have any questions or inquiries about this, please do not hesitate to contact me at hholm@mit.edu. Data Ice_Core_Lipid_5ppm_antd.csv: This file contains raw lipid annotations (rows) for compounds from sea ice samples (columns starting with "QE0-") . Column A designates the lipid annotations retained for analysis in the study. All units for sample columns are the integrated peak area from raw files. Additional compound metadata (columns B-T, MW-OD) includes chemical formula, retention time, adduct mass, and annotation validation information. For a complete interpretation of these annotation metadata columns see Collins et al. 2018 and the LOBSTAHS R software package: (https://bioconductor.org/packages/release/bioc/html/LOBSTAHS.html). Ice_Core_metadata.xlsx: This file contains sample metadata for ice core samples. Sample location information (filename, site, sample number, ect.) are shown in the first eight column. The length of the core segment, as well as the top and bottom depths of the segment in the total core are shown in column I-K. Volumes of the ice melt are shown in L-P. Curve_Compare.csv: This file contains the relative response factors for thirty eight triacylglycerol (TAG) standard as compared to an intact polar lipid standard (DNPPE) on the studies HPLC-ESI-MS system. Columns contain each TAGs carbon, double bonds, and equivalent carbon numbers. RFF shows the relative response to DNPPE (TAG/DNPPE) and the inverse (DNPPE/TAG). Last column lists the standards curves origin. Code Holm_2023_IceCore contains R code for compound quantification and then figure generation in the study. Holm_2023_TAG_Model contains code for modeling response factors of TAG compounds.
DOI: 10.15468/dl.qgtwm5
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium laetum (Nyman) Pignatti"
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046086-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.us2mm4
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis crenulata (Blume) Lindl."
 ]
}

 The dataset includes 38 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046087-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.af5dcf
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucocroton pachyphylloides Borhidi"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046088-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4st5z
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylobius pales C.H.Boheman, 1834"
 ]
}

 The dataset includes 709 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046089-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d95vjd
title: Occurrence Download

description: A dataset containing 26424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Namaceae"
 ]
}

 The dataset includes 26424 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046080-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spcnvz
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis cyclostele Schltr."
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046093-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yv58q7
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium lambinonii Erben"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046092-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3f3h4
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Nilssoniaceae"
 ]
}

 The dataset includes 78 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046094-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rv7dy7
title: Occurrence Download

description: A dataset containing 709 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylobius pales C.H.Boheman, 1834"
 ]
}

 The dataset includes 709 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046096-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbmqsd
title: Occurrence Download

description: A dataset containing 26450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Actitis hypoleucos (Linnaeus, 1758)",
 "Year 1980-1984"
 ]
}

 The dataset includes 26450 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046097-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gspnsy
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liparis cymbidiifolia J.J.Sm."
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046098-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gt8kyy
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium latebracteatum Erben"
 ]
}

 The dataset includes 248 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046099-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4gqhf
title: Occurrence Download

description: A dataset containing 44354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Nephrolepidaceae"
 ]
}

 The dataset includes 44354 records from 526 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046091-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.