cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.f52w85
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurycea chamberlaini Harrison & Guttman, 2003"
 ]
}

 The dataset includes 300 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077855-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twjj58
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Phoebastria irrorata (Salvin, 1883)",
 "Year 2020-2021"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295318-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oon0ou
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nyctinomops aurispinosus (Peale, 1848)",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 222 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008440-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uj28et
title: Occurrence Download

description: A dataset listing the 28 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "Elevation 0.0-17.0m",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "PublishingOrg is 30ff48bd-4dd1-429d-a5a5-348c8e5fbfb1",
 "PublishingOrg is dbc2ab56-d499-403c-8db5-c1a49cd0b75f",
 "PublishingOrg is ab13adb9-ce23-444d-87c9-ce41f03ef2b3",
 "PublishingOrg is e1050db2-9faf-4d72-b860-295debaf9d2a"
 ]
 },
 "TaxonKey is Mammalia",
 "Year 2016-2021"
 ]
}

 The dataset's 28 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015169-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75z53c
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etlingera chrysantha A.D.Poulsen"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284129-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cybz76
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Country is Costa Rica",
 "TaxonKey is Cochlospermum vitifolium (Willd.) Spreng."
 ]
}

 The dataset includes 189 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077857-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3vekv
title: Occurrence Download

description: A dataset containing 705441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Repatriated is TRUE",
 "Country is Norway"
 ]
}

 The dataset includes 705441 records from 880 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008440-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7829665
title: Detailed information for 2032 Saccharomyces cerevisiae genome assemblies

description: Detailed information for 2032 Saccharomyces cerevisiae genome assemblies
DOI: 10.25318/9810013201-eng
title: Marital status, age group and gender: Canada, provinces and territories and economic regions

description: Data on marital status, age group and gender for the population aged 15 and over, Canada, provinces and territories, economic regions, 2021 Census.
DOI: 10.5281/zenodo.7827219
title: A Model-driven and Template-based Approach for Requirements Specification : Case studies

description: These documents include all the requirements specified as part of the ARINC-653 and AUTOSAR case studies using our templates.
DOI: 10.5281/zenodo.7827231
title: A Model-driven and Template-based Approach for Requirements Specification : Case studies

description: These documents include all the requirements specified as part of the ARINC-653 and AUTOSAR case studies using our templates.
DOI: 10.5281/zenodo.7829687
title: A Model-driven and Template-based Approach for Requirements Specification : Case studies

description: This dataset includes the requirements specified using our templates as part of our case studies : ARINC-653 case study : Time management requirements. ARINC-653 case study : Intra-partition communication requirements. AUTOSAR case study : Crypto service manager requirements. Traditional software case study : Requirements from Kaggle.
DOI: 10.34740/kaggle/dsv/5407622
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.7827218
title: A Model-driven and Template-based Approach for Requirements Specification : Case studies

description: This dataset includes the requirements specified using our templates as part of our case studies : ARINC-653 case study : Time management requirements. ARINC-653 case study : Intra-partition communication requirements. AUTOSAR case study : Crypto service manager requirements. Traditional software case study : Requirements from Kaggle.
DOI: 10.5281/zenodo.7829664
title: Detailed information for 2032 Saccharomyces cerevisiae genome assemblies

description: Detailed information for 2032 Saccharomyces cerevisiae genome assemblies
DOI: 10.5281/zenodo.7814817
title: IMU, magnetometer, and motion capture data from a UAV used for indoor magnetic field mapping and localization

description: IMU, magnetometer, and motion capture data from a UAV used for indoor magnetic field mapping and localization. This data is split up into two folders. "stationary_magnetometer_data" 0.1Hz samples of a RM3100 magnetometer that was kept in one position from July 2022 through February 2023. The data is partitioned into separate files for analytical convenience of our research. Each file here is a CSV with a timestamp (synchronized with chrony to a central computer) and the three components of the measured magnetic field. We did not calibrate this stationary magnetometer. "UAV_and_mocap_data" has many subfolders. Each subfolder is labeled by a date and a small description of the goals for that test segment. There is a single "EXPLANATION" file in each subfolder that gives more detail on the provided data. The data here includes the trajectory flown by the UAV, outdoor calibration data to adjust the raw magnetometer measurements, and IMU/motion capture data for each listed flight test. The EXPLANATION file should explain what trajectory was flown for each individual flight test.
DOI: 10.5281/zenodo.7814818
title: IMU, magnetometer, and motion capture data from a UAV used for indoor magnetic field mapping and localization

description: IMU, magnetometer, and motion capture data from a UAV used for indoor magnetic field mapping and localization. This data is split up into two folders. "stationary_magnetometer_data" 0.1Hz samples of a RM3100 magnetometer that was kept in one position from July 2022 through February 2023. The data is partitioned into separate files for analytical convenience of our research. Each file here is a CSV with a timestamp (synchronized with chrony to a central computer) and the three components of the measured magnetic field. We did not calibrate this stationary magnetometer. "UAV_and_mocap_data" has many subfolders. Each subfolder is labeled by a date and a small description of the goals for that test segment. There is a single "EXPLANATION" file in each subfolder that gives more detail on the provided data. The data here includes the trajectory flown by the UAV, outdoor calibration data to adjust the raw magnetometer measurements, and IMU/motion capture data for each listed flight test. The EXPLANATION file should explain what trajectory was flown for each individual flight test.
DOI: 10.25318/9810013201-fra
title: État matrimonial, groupe d'âge et genre : Canada, provinces et territoires et régions économiques

description: Données sur l’état matrimonial, le groupe d’âge et le genre de la population de 15 ans et plus, Canada, provinces et territoires, régions économiques, Recensement de 2021.
DOI: 10.25318/9810013301-eng
title: Marital status, age group and gender: Canada and forward sortation areas ©

description: Data on marital status, age group and gender for the population aged 15 and over, Canada, forward sortation areas, 2021 Census.
DOI: 10.25318/9810013301-fra
title: État matrimonial, groupe d'âge et genre : Canada et régions de tri d'acheminement ©

description: Données sur l’état matrimonial, le groupe d’âge et le genre de la population de 15 ans et plus, Canada, région de tri d'acheminement, Recensement de 2021.
DOI: 10.5066/p9h915xd
title: Thermal evolution of graptolite and solid bitumen properties at high maturity under natural and artificial conditions

description: To refine the use of graptolite and solid bitumen properties as thermal proxies at overmature conditions, we evaluated their evolution via Raman and infrared spectroscopies, reflectance, and geochemical screening in high-temperature hydrous and anhydrous experiments in comparison to naturally matured samples. Naturally matured samples included four overmature Wufeng-Longmaxi marine shales from the Sichuan Basin, China, with solid bitumen reflectance (BRo) values of 2.5-3.6% and graptolite reflectance (GRo) values of 2.3-3.9%. Immature starting materials for pyrolysis experiments included Mesoproterozoic (Ectasian) Xiamaling marine shale from Hebei, China (0.34% BRo, graptolite absent) and graptolite-bearing Ordovician (Tremadocian) Alum marine shale from Grönhögen, Sweden (0.50% BRo, 1.00% GRo). Pyrolysis experiments were carried out at 360°C for 10 days and 27 days (hydrous conditions), and 450°C 3 days, 550°C 3 days, and 550°C 10 days (all anhydrous). The experiments created Xiamaling and Alum residues with solid bitumen and graptolite, respectively, of similar and higher maturity (1.8-5.7% BRo, 1.8-5.3% GRo) compared to the naturally matured Wufeng-Longmaxi samples. Compositional proxies from infrared spectroscopy were inconclusive. Raman spectral properties including Raman band separation (RBS) and the full-width at half-maximum of the G-band (G-FWHM) exhibited robust positive and inverse relationships with increasing reflectance in pyrolysis residues, respectively. Similar to previous work, RBS and G-FWHM values were systematically lower and higher, respectively, in artificially matured samples versus naturally matured samples with equivalent reflectance values. This observation indicates the limited duration or low internal reactor pressure of pyrolysis experiments is insufficient to allow alignment of aromatic carbon arrays, or the ordering of aromatic clusters present in both organic matter types, relative to natural maturation occurring at geologic time scales. Reflectance of graptolite was usually but not always higher than co-occurring solid bitumen in all samples, suggesting inherently higher aromaticity. However, aromaticity in pyrolysis residues was systematically higher in solid bitumen compared to graptolite with equivalent reflectance values, indicating a higher kinetic barrier to molecular rearrangement in graptolite versus solid bitumen. These data further clarify differences in the molecular evolution of sedimentary organic matter in natural versus analogue laboratory environments and distinguish the properties of individual organic matter types in response to thermal stress.
DOI: 10.5281/zenodo.7576885
title: Code and model outputs for article "Assessing the potential of backscattering as a proxy for phytoplankton carbon biomass"

description: Scripts from the scientific article "Assessing the potential of backscattering as a proxy for phytoplankton carbon biomass"<br> Submitted to Global Biogeochemical Cycles<br> Camila Serra-Pompei, Anna Hickman, Gregory L. Britten, Stephanie Dutkiewicz This repository contains all the files needed to run the MITgcm Biogeochemical and Optical model (MITgcmBgc, a.k.a. The Darwin model) and generate the figures in the paper.<br> Model outputs are also provided, so there is no need to run the entire model to generate the figures. The main folder "codes_phyto_bbp_paper.zip" contains all the files to process model output and reproduce the figures from the paper. The main files are:<br> - "Script_main.m" loads and processes model outputs and generates figures 2 to 9.<br> - "Script_new_optical_params" generates the optical parameters that are used as inputs in the MITgcmBgc model. It also generates figure 1.<br> - "Script_sensitivity_analysis" Performs offline sensitivity analysis and figure 10. The "mitgcm_darwin_3.zip" folder contain the code of the MITgcm with the Biogeochemical and Optical modules (Darwin package), with the configurations used in this study. Explanations of the model can be found in https://darwin3.readthedocs.io/en/latest/phys_pkgs/darwin.html These folders also contain the BGC-Argo floats data and climatological bbp and Chl NASA MODIS-Aqua GIOP data used in this study. The BGC-Argo data used in this article (download date: 27/10/2021) is available in "Other_extra_files/Argo_matrix.mat". The BGC-Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org, https://doi.org/10.17882/42182). The Argo Program is part of the Global Ocean Observing System. BGC-Argo float data was extracted using the BGC-Argo-Mat Matlab toolbox (Frenzel et al. 2021). The MODIS-Aqua satellite remote sensing data used in this article (download date: 23/12/2022) is available here in the folder "nasa_data". Satellite remote sensing data was extracted from NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group; (2014): MODIS-Aqua Ocean Color Data; NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. http://dx.doi.org/10.5067/AQUA/MODIS_OC.2014.0
DOI: 10.5281/zenodo.7576886
title: Code and model outputs for article "Assessing the potential of backscattering as a proxy for phytoplankton carbon biomass"

description: Scripts from the scientific article "Assessing the potential of backscattering as a proxy for phytoplankton carbon biomass"<br> Submitted to Global Biogeochemical Cycles<br> Camila Serra-Pompei, Anna Hickman, Gregory L. Britten, Stephanie Dutkiewicz This repository contains all the files needed to run the MITgcm Biogeochemical and Optical model (MITgcmBgc, a.k.a. The Darwin model) and generate the figures in the paper.<br> Model outputs are also provided, so there is no need to run the entire model to generate the figures. The main folder "codes_phyto_bbp_paper.zip" contains all the files to process model output and reproduce the figures from the paper. The main files are:<br> - "Script_main.m" loads and processes model outputs and generates figures 2 to 9.<br> - "Script_new_optical_params" generates the optical parameters that are used as inputs in the MITgcmBgc model. It also generates figure 1.<br> - "Script_sensitivity_analysis" Performs offline sensitivity analysis and figure 10. The "mitgcm_darwin_3.zip" folder contain the code of the MITgcm with the Biogeochemical and Optical modules (Darwin package), with the configurations used in this study. Explanations of the model can be found in https://darwin3.readthedocs.io/en/latest/phys_pkgs/darwin.html These folders also contain some BGC-Argo floats data and climatological bbp and Chl NASA MODIS-Aqua GIOP data. The BGC-Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org, https://doi.org/10.17882/42182). The Argo Program is part of the Global Ocean Observing System. BGC-Argo float data was extracted using the BGC-Argo-Mat Matlab toolbox (Frenzel et al. 2021). Satellite remote sensing data was extracted from NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group; (2014): MODIS-Aqua Ocean Color Data; NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. http://dx.doi.org/10.5067/AQUA/MODIS_OC.2014.0
DOI: 10.5281/zenodo.7829180
title: Code and model outputs for article "Assessing the potential of backscattering as a proxy for phytoplankton carbon biomass"

description: Scripts from the scientific article "Assessing the potential of backscattering as a proxy for phytoplankton carbon biomass"<br> Submitted to Global Biogeochemical Cycles<br> Camila Serra-Pompei, Anna Hickman, Gregory L. Britten, Stephanie Dutkiewicz This repository contains all the files needed to run the MITgcm Biogeochemical and Optical model (MITgcmBgc, a.k.a. The Darwin model) and generate the figures in the paper.<br> Model outputs are also provided, so there is no need to run the entire model to generate the figures. The main folder "codes_phyto_bbp_paper.zip" contains all the files to process model output and reproduce the figures from the paper. The main files are:<br> - "Script_main.m" loads and processes model outputs and generates figures 2 to 9.<br> - "Script_new_optical_params" generates the optical parameters that are used as inputs in the MITgcmBgc model. It also generates figure 1.<br> - "Script_sensitivity_analysis" Performs offline sensitivity analysis and figure 10. The "mitgcm_darwin_3.zip" folder contain the code of the MITgcm with the Biogeochemical and Optical modules (Darwin package), with the configurations used in this study. Explanations of the model can be found in https://darwin3.readthedocs.io/en/latest/phys_pkgs/darwin.html These folders also contain the BGC-Argo floats data and climatological bbp and Chl NASA MODIS-Aqua GIOP data used in this study. The BGC-Argo data used in this article (download date: 27/10/2021) is available in "Other_extra_files/Argo_matrix.mat". The BGC-Argo data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org, https://doi.org/10.17882/42182). The Argo Program is part of the Global Ocean Observing System. BGC-Argo float data was extracted using the BGC-Argo-Mat Matlab toolbox (Frenzel et al. 2021). The MODIS-Aqua satellite remote sensing data used in this article (download date: 23/12/2022) is available here in the folder "nasa_data". Satellite remote sensing data was extracted from NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group; (2014): MODIS-Aqua Ocean Color Data; NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. http://dx.doi.org/10.5067/AQUA/MODIS_OC.2014.0
DOI: 10.7910/dvn/zvgxvd
title: Replication Data for: Regime Support and Gender Quotas in Autocracies

description: Gender quotas are increasingly being adopted by autocrats in part to legitimize their rule. Yet, even in autocracies, these quotas increase women's political representation. It thus stands to reason that public support for gender quotas in autocracies might be shaped by this trade-off between advancing women's rights and granting the regime legitimacy. All else equal, regime opponents should be less supportive of gender quotas in autocracies, wary of legitimizing the regime. We uncover evidence of this proposition in an analysis of region-wide Arab Barometer surveys and a survey experiment in Algeria. We also find that evaluations of this trade-off are conditioned by other demographics, with women, gender egalitarians, and Islamists remaining more consistent in their support for/opposition to gender quotas regardless of regime gains. Overall, our findings suggest that gender quotas in autocracies are viewed through a political lens, creating a potential backlash toward women's empowerment.
DOI: 10.15468/dl.cbc452
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Delphinium palasianum Rafiq" ] } The dataset includes 0 records from 0 constituent datasets:
DOI: 10.15468/dl.7f6ywe
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Delphinium pavlovii Kamelin" ] } The dataset includes 0 records from 0 constituent datasets:
DOI: 10.15468/dl.ksqhpr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Delphinium petrodavisianum Ilarslan & Kit Tan" ] } The dataset includes 0 records from 0 constituent datasets:
DOI: 10.5517/ccdc.csd.cc2bf1f8
title: CCDC 2157489: Experimental Crystal Structure Determination

description: Related Article: Hyota Kihara, Hiroaki Imoto, Kensuke Naka|2022|Polymer Journal(Tokyo)|55|555|doi:10.1038/s41428-022-00653-9
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.7829853
title: PSet_BeatAML

description: PSet_BeatAML data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7829852
title: PSet_BeatAML

description: PSet_BeatAML data object generated by ORCESTRA.
DOI: 10.5517/ccdc.csd.cc2czlwv
title: CCDC 2204158: Experimental Crystal Structure Determination

description: Related Article: Griffin L Perry, Nathan D Schley|2023|J.Am.Chem.Soc.|145|7005|doi:10.1021/jacs.3c00885
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.cc2czlxw
title: CCDC 2204159: Experimental Crystal Structure Determination

description: Related Article: Griffin L Perry, Nathan D Schley|2023|J.Am.Chem.Soc.|145|7005|doi:10.1021/jacs.3c00885
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.cc2czlyx
title: CCDC 2204160: Experimental Crystal Structure Determination

description: Related Article: Griffin L Perry, Nathan D Schley|2023|J.Am.Chem.Soc.|145|7005|doi:10.1021/jacs.3c00885
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.