cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8095319
title: Results related to the case study 4 of the openENTRANCE project - SCOPE SD version 2023

description: This dataset contains scenarios results for Case Study 4 of the openENTRANCE project. You can find additional information, including model results and case study setup, at Deliverable D6.2 of the openENTRANCE project at openENTRANCE – open ENergy TRanstion ANalyses for a low-Carbon Economy. Further information on the SCOPE SD model is given in: Frischmuth, F., Härtel, P.: Hydrogen sourcing strategies and cross-sectoral flexibility trade-offs in net-neutral energy scenarios for europe. Energy (2022). https://doi.org/10.1016/j.energy.2021.121598 The data file follows the IAMC data format and the conventions established by the openENTRANCE project. See https://github.com/openENTRANCE/openentrance for details. Visit the openENTRANCE Scenario Explorer at https://data.ece.iiasa.ac.at/openentrance for more information.
DOI: 10.5281/zenodo.8095318
title: Results related to the case study 4 of the openENTRANCE project - SCOPE SD version 2023

description: This dataset contains scenarios results for Case Study 4 of the openENTRANCE project. You can find additional information, including model results and case study setup, at Deliverable D6.2 of the openENTRANCE project at openENTRANCE – open ENergy TRanstion ANalyses for a low-Carbon Economy. Further information on the SCOPE SD model is given in: Frischmuth, F., Härtel, P.: Hydrogen sourcing strategies and cross-sectoral flexibility trade-offs in net-neutral energy scenarios for europe. Energy (2022). https://doi.org/10.1016/j.energy.2021.121598 The data file follows the IAMC data format and the conventions established by the openENTRANCE project. See https://github.com/openENTRANCE/openentrance for details. Visit the openENTRANCE Scenario Explorer at https://data.ece.iiasa.ac.at/openentrance for more information.
DOI: 10.6073/pasta/33beebde22404b378930ba8c7bdc01ef
title: Cecropia growth at El Verde gaps

description: While doing the survey of gaps at El Verde the number and height of Cecropia saplings found in gaps where recorded. Since this species is mostly restricted to gaps, an estimate of the total population of Cecropia in the regeneration size classes in the forest can be obtained. (There are others along the edges of the Sonadora and Prieta.) The abundance, dispersion, and size class distribution of the Cecropia population is an index of disturbance in tabonuco forest and make an interesting study in its own right. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.5517/ccdc.csd.cc2g61zq
title: CCDC 2269943: Experimental Crystal Structure Determination

description: Related Article: Allan E. Underhill, Dai E. Hibbs, Michael B. Hursthouse|1996|University of Southampton, Crystal Structure Report Archive||790|
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.cc2g62g7
title: CCDC 2269958: Experimental Crystal Structure Determination

description: Related Article: Mohamed Kurmoo, Simon J. Coles, Michael B. Hursthouse, |1996|University of Southampton, Crystal Structure Report Archive||759|
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: 10.5281/zenodo.8095496
title: lepidozona_retiporosa_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8095495
title: lepidozona_retiporosa_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8095510
title: FireProtDB Database

description: This data set is an identical copy of the FireProtDB as released in a related Kaggle dataset. The kaggle data set was download 2023/06/29. The CSV files available from root directory correspond to the cleaned CSV files from the linked data set. They are contained in the zip as well. <strong>Citations:</strong> If you use this data set, please cite: Darien Schettler FireProtDB & Acknowledgement
DOI: 10.5281/zenodo.8095509
title: FireProtDB Database

description: This data set is an identical copy of the FireProtDB as released in a related Kaggle dataset. The kaggle data set was download 2023/06/29. The CSV files available from root directory correspond to the cleaned CSV files from the linked data set. They are contained in the zip as well. <strong>Citations:</strong> If you use this data set, please cite: Darien Schettler FireProtDB & Acknowledgement
DOI: 10.15468/dl.36b7mj
title: Occurrence Download

description: A dataset containing 7127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Helleborus viridis L."
 ]
}

 The dataset includes 7127 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049583-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjj8d6
title: Occurrence Download

description: A dataset containing 1212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orchidaceae",
 "Year 2000-2021"
 ]
}

 The dataset includes 1212 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0402772-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syv7pt
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cuora trifasciata (Bell, 1825), Cuora trifasciata Gray, 1856)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049573-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn39fd
title: Occurrence Download

description: A dataset containing 2385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pipilo chlorurus (Audubon, 1839)",
 "Year 2000-2022"
 ]
}

 The dataset includes 2385 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000974-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q23xeh
title: Occurrence Download

description: A dataset containing 125071 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acrocephalus palustris (Bechstein, 1798))",
 "HasCoordinate is true",
 "DecimalLatitude is greater than or equal to 29.93667",
 "DecimalLatitude is less than or equal to 51.91193",
 "DecimalLongitude is greater than or equal to -14.67522",
 "DecimalLongitude is less than or equal to 39.79752",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)",
 "Year is greater than or equal to 1970",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 125071 records from 439 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039018-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sssn5z
title: Occurrence Download

description: A dataset listing the 3278362 species recorded in GBIF matching the query:
{ }

 The dataset's 3278362 records were derived from 29582 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038295-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.19119524
title: public.csv

description: Data from the Arkansas Coronavirus Antibodies Seroprevalence Survey
DOI: 10.6084/m9.figshare.19119524.v1
title: public.csv

description: Data from the Arkansas Coronavirus Antibodies Seroprevalence Survey
DOI: 10.6084/m9.figshare.19317998
title: Dietary Supplement Dataset.xlsx

description: Comparison of US and Chinese consumers regarding their trust in the efficacy and safety of dietary supplements and their perceptions of who is responsible for ensuring efficacy and safety.
DOI: 10.5281/zenodo.5774974
title: Dataset to study "Disentangling ecosystem services perceptions from blue infrastructure around a rapidly expanding megacity"

description: This dataset includes the raw data of a survey of 536 local residents along two rural-urban gradients around Bengaluru, India. The dataset sheet presents respondents' socio-demographic characteristics (village, village stratum, gender, age education, religion, length of residence, caste, occupation). It then displays Likert-scale answers, ranging from 1 ("not important" to 5 ("very important"), on agreement about the importance of water-filled and dry lakes (shown on photographs) for the provision of the respective ecosystem services and disservices, based on their livelihood needs and experiences. It then shows the answers to open questions on challenges and management options regarding lakes. The complete method is described in: Plieninger, T., Thapa, P., Bhaskar, D., Nagendra, H., Torralba, M., & Zoderer, B. M. (2022): Disentangling ecosystem services perceptions from blue infrastructure around a rapidly expanding megacity. Landscape and Urban Planning, in press.
DOI: 10.5281/zenodo.5774973
title: Dataset to study "Disentangling ecosystem services perceptions from blue infrastructure around a rapidly expanding megacity"

description: This dataset includes the raw data of a survey of 536 local residents along two rural-urban gradients around Bengaluru, India. The dataset sheet presents respondents' socio-demographic characteristics (village, village stratum, gender, age education, religion, length of residence, caste, occupation). It then displays Likert-scale answers, ranging from 1 ("not important" to 5 ("very important"), on agreement about the importance of water-filled and dry lakes (shown on photographs) for the provision of the respective ecosystem services and disservices, based on their livelihood needs and experiences. It then shows the answers to open questions on challenges and management options regarding lakes. The complete method is described in: Plieninger, T., Thapa, P., Bhaskar, D., Nagendra, H., Torralba, M., & Zoderer, B. M. (2022): Disentangling ecosystem services perceptions from blue infrastructure around a rapidly expanding megacity. Landscape and Urban Planning, in press.
DOI: 10.25345/c59k45w69
title: MassIVE MSV000089014 - High-field asymmetric waveform ion mobility spectrometry interface enhances parallel reaction monitoring on an Orbitrap mass spectrometer
title: High-field asymmetric waveform ion mobility spectrometry (FAIMS) enables gas phase separations on a chromatographic timescale and has become a useful tool for proteomic applications. Despite its emerg-ing utility, however, the molecular determinants underlying peptide separation by FAIMS have not been systematically investigated. Here, we characterize peptide transmission in a FAIMS device across a broad range of compensation voltages (CV) and used machine learning to identify charge state and 3D electrostatic peptide potential as major contributors to peptide intensity at a given CV. We also demon-strate that the machine learning model can be used to predict optimized CV values for peptides which significantly improves parallel reaction monitoring workflows. Together these data provide insight into peptide separation by FAIMS and highlight its utility in targeted proteomic applications.
DOI: 10.5517/ccdc.csd.cc25c60s
title: CCDC 2006754: Experimental Crystal Structure Determination

description: Related Article: Deepta Chattapadhyay, Sujay Kumar Nandi, Debasish Haldar|2022|Mat.Advs.|3|2117|doi:10.1039/D1MA00992C
DOI: 10.18112/openneuro.ds001907.v3.0.2
title: ANT: Healthy aging and Parkinson's disease
DOI: 10.5281/zenodo.6335347
title: First-order visual interneurons distribute distinct contrast and luminance information across ON and OFF pathways to achieve stable behavior

description: Source data of the paper Ketkar, Gür, Molina-Obando et al. 2022, eLife.<br> We analyzed the behavioral contribution and physiological response properties of first order interneurons L1, L2 and L3 in the <em>Drosophila melanogaster </em>visual system. Data are sorted by figures and comprise either behavioral measurements of flies walking on an air-cushioned ball while being shown visual stimuli, or <em>in vivo </em>two photon microscopy recordings of L1-L3 calcium responses. Please find all relevant information to use the data in the README file.<br> The code to analyze the data, either written in Matlab or Python, is found at https://github.com/silieslab/Ketkar-Gur-MolinaObando-etal2022
DOI: 10.5281/zenodo.6335346
title: First-order visual interneurons distribute distinct contrast and luminance information across ON and OFF pathways to achieve stable behavior

description: Source data of the paper Ketkar, Gür, Molina-Obando et al. 2022, eLife.<br> We analyzed the behavioral contribution and physiological response properties of first order interneurons L1, L2 and L3 in the <em>Drosophila melanogaster </em>visual system. Data are sorted by figures and comprise either behavioral measurements of flies walking on an air-cushioned ball while being shown visual stimuli, or <em>in vivo </em>two photon microscopy recordings of L1-L3 calcium responses. Please find all relevant information to use the data in the README file.<br> The code to analyze the data, either written in Matlab or Python, is found at https://github.com/silieslab/Ketkar-Gur-MolinaObando-etal2022
DOI: 10.5281/zenodo.6335447
title: Amazona aestiva decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6335446
title: Amazona aestiva decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6335521
title: Aparallactus werneri decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6335520
title: Aparallactus werneri decontaminated FSCR

description: .
DOI: 10.25345/c55t3g32k
title: MassIVE Reanalysis RMSV000000355.4375 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GTF2A2 [launched by aea60c3352304ba6ab67140f655b6785]
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/c5251fp12
title: MassIVE Reanalysis RMSV000000355.4372 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNRF3 [launched by aea60c3352304ba6ab67140f655b6785]
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/c5nv99d8d
title: MassIVE Reanalysis RMSV000000355.4371 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C2CD4A [launched by aea60c3352304ba6ab67140f655b6785]
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/c5sn0172q
title: MassIVE Reanalysis RMSV000000355.4380 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CMKLR1 [launched by aea60c3352304ba6ab67140f655b6785]
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/c5xd0r16g
title: MassIVE Reanalysis RMSV000000355.4376 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MYCBPAP [launched by aea60c3352304ba6ab67140f655b6785]
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/c5j38km4k
title: MassIVE Reanalysis RMSV000000355.4378 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ALG6 [launched by aea60c3352304ba6ab67140f655b6785]
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/c5db7vt1x
title: MassIVE Reanalysis RMSV000000355.4377 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C14orf156 [launched by aea60c3352304ba6ab67140f655b6785]
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/c58k7507z
title: MassIVE Reanalysis RMSV000000355.4374 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, BVES [launched by aea60c3352304ba6ab67140f655b6785]
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/c54x54k5n
title: MassIVE Reanalysis RMSV000000355.4383 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HIST1H2BG [launched by aea60c3352304ba6ab67140f655b6785]
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: 10.5281/zenodo.5048343
title: Forcing Space Data

description: Data associated with “Forcing Space: an alternative to regime diagrams for predicting characteristics of turbulence in the ocean surface mixing layer.” Ann E. Gargett The data provided here is from a bottom-mounted RD Instruments (RDI) VADCP, deployed during 2003 at 39.4569 N, 74.2458 W, the primary node of a cabled observatory (LEO-15) then located ~ 7km offshore of the Tuckerton Field Station of Rutgers University. The VADCP was deployed on April 1, 2003, with initial instrument adjustment completed on April 25, 2003. Data recording ended on October 30, 2003.
DOI: 10.5281/zenodo.5048342
title: Forcing Space Data

description: Data associated with “Forcing Space: an alternative to regime diagrams for predicting characteristics of turbulence in the ocean surface mixing layer.” Ann E. Gargett The data provided here is from a bottom-mounted RD Instruments (RDI) VADCP, deployed during 2003 at 39.4569 N, 74.2458 W, the primary node of a cabled observatory (LEO-15) then located ~ 7km offshore of the Tuckerton Field Station of Rutgers University. The VADCP was deployed on April 1, 2003, with initial instrument adjustment completed on April 25, 2003. Data recording ended on October 30, 2003.