cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7555132
title: OPERA PROTEUS DSWx-HLS S.30 test dataset over Louisina and Mississipi

description: This dataset is part of the PROTEUS - Parallelized Radar Optical Toolbox for Estimating dynamic sUrface water extentS software developed by Observational Products for End-Users from Remote Sensing Analysis (OPERA) project algorithm development team (ADT). It includes a subset of a Harmonized Landsat Sentinel-2 (HLS) product collected by the Sentinel-2 MSI instrument over Louisiana and Mississippi states (USA) on September 7, 2021, and the expected output DSWx-HLS product for testing PROTEUS Digital Surface Water eXtent from HLS (DSWx-HLS) workflow. The PROTEUS software is publicly available at: https://github.com/opera-adt/PROTEUS <strong>License</strong> Copyright (c) 2021 California Institute of Technology (“Caltech”). U.S. Government sponsorship acknowledged. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Caltech nor its operating division, the Jet Propulsion Laboratory, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
DOI: 10.5281/zenodo.7683114
title: OPERA PROTEUS DSWx-HLS S.30 test dataset over Louisina and Mississipi

description: This dataset is part of the PROTEUS - Parallelized Radar Optical Toolbox for Estimating dynamic sUrface water extentS software developed by Observational Products for End-Users from Remote Sensing Analysis (OPERA) project algorithm development team (ADT). It includes a subset of a Harmonized Landsat Sentinel-2 (HLS) product collected by the Sentinel-2 MSI instrument over Louisiana and Mississippi states (USA) on September 7, 2021, and the expected output DSWx-HLS product for testing PROTEUS Digital Surface Water eXtent from HLS (DSWx-HLS) workflow. The PROTEUS software is publicly available at: https://github.com/opera-adt/PROTEUS <strong>License</strong> Copyright (c) 2021 California Institute of Technology (“Caltech”). U.S. Government sponsorship acknowledged. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Caltech nor its operating division, the Jet Propulsion Laboratory, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
DOI: 10.5281/zenodo.7714162
title: OPERA PROTEUS DSWx-HLS S.30 test dataset over Louisina and Mississipi

description: This dataset is part of the PROTEUS - Parallelized Radar Optical Toolbox for Estimating dynamic sUrface water extentS software developed by Observational Products for End-Users from Remote Sensing Analysis (OPERA) project algorithm development team (ADT). It includes a subset of a Harmonized Landsat Sentinel-2 (HLS) product collected by the Sentinel-2 MSI instrument over Louisiana and Mississippi states (USA) on September 7, 2021, and the expected output DSWx-HLS product for testing PROTEUS Digital Surface Water eXtent from HLS (DSWx-HLS) workflow. The PROTEUS software is publicly available at: https://github.com/opera-adt/PROTEUS <strong>License</strong> Copyright (c) 2021 California Institute of Technology (“Caltech”). U.S. Government sponsorship acknowledged. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Caltech nor its operating division, the Jet Propulsion Laboratory, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
DOI: 10.5281/zenodo.6385190
title: OPERA PROTEUS DSWx-HLS S.30 test dataset over Louisina and Mississipi

description: This dataset is part of the PROTEUS - Parallelized Radar Optical Toolbox for Estimating dynamic sUrface water extentS software developed by Observational Products for End-Users from Remote Sensing Analysis (OPERA) project algorithm development team (ADT). It includes a subset of a Harmonized Landsat Sentinel-2 (HLS) product collected by the Sentinel-2 MSI instrument over Louisiana and Mississippi states (USA) on September 7, 2021, and the expected output DSWx-HLS product for testing PROTEUS Digital Surface Water eXtent from HLS (DSWx-HLS) workflow. The PROTEUS software is publicly available at: https://github.com/opera-adt/PROTEUS <strong>License</strong> Copyright (c) 2021 California Institute of Technology (“Caltech”). U.S. Government sponsorship acknowledged. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Caltech nor its operating division, the Jet Propulsion Laboratory, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
DOI: 10.5281/zenodo.7714199
title: OPERA PROTEUS DSWx-HLS S.30 test dataset over Louisina and Mississipi

description: This dataset is part of the PROTEUS - Parallelized Radar Optical Toolbox for Estimating dynamic sUrface water extentS software developed by Observational Products for End-Users from Remote Sensing Analysis (OPERA) project algorithm development team (ADT). It includes a subset of a Harmonized Landsat Sentinel-2 (HLS) product collected by the Sentinel-2 MSI instrument over Louisiana and Mississippi states (USA) on September 7, 2021, and the expected output DSWx-HLS product for testing PROTEUS Digital Surface Water eXtent from HLS (DSWx-HLS) workflow. The PROTEUS software is publicly available at: https://github.com/opera-adt/PROTEUS <strong>License</strong> Copyright (c) 2021 California Institute of Technology (“Caltech”). U.S. Government sponsorship acknowledged. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Caltech nor its operating division, the Jet Propulsion Laboratory, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
DOI: 10.5281/zenodo.7714211
title: OPERA PROTEUS DSWx-HLS S.30 test dataset over Louisina and Mississipi

description: This dataset is part of the PROTEUS - Parallelized Radar Optical Toolbox for Estimating dynamic sUrface water extentS software developed by Observational Products for End-Users from Remote Sensing Analysis (OPERA) project algorithm development team (ADT). It includes a subset of a Harmonized Landsat Sentinel-2 (HLS) product collected by the Sentinel-2 MSI instrument over Louisiana and Mississippi states (USA) on September 7, 2021, and the expected output DSWx-HLS product for testing PROTEUS Digital Surface Water eXtent from HLS (DSWx-HLS) workflow. The PROTEUS software is publicly available at: https://github.com/opera-adt/PROTEUS <strong>License</strong> Copyright (c) 2021 California Institute of Technology (“Caltech”). U.S. Government sponsorship acknowledged. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. Neither the name of Caltech nor its operating division, the Jet Propulsion Laboratory, nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
DOI: 10.5281/zenodo.7714212
title: Information sheet

description: Information sheet
DOI: 10.5281/zenodo.7714214
title: STROBE checklist for 'Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study.'

description: STROBE checklist for 'Prevalence Rates of Mucopolysaccharidosis in Iraq: a retrospective cross-sectional observational study.'
DOI: 10.5281/zenodo.7714217
title: Data and Code for Modeling Lake Cahuilla

description: Data and Code for Modeling Lake Cahuilla
DOI: 10.5281/zenodo.7714216
title: Data and Code for Modeling Lake Cahuilla

description: Data and Code for Modeling Lake Cahuilla
DOI: 10.5281/zenodo.7071648
title: Organic aerosol sources in Krakow, Poland, before implementation of a solid fuel residential heating ban

description: Krakow is a pollution hot-spot in Europe which is thought to be caused mainly by a high use of coal combustion (power plants, residential heating). Here, we quantify the impact of coal burning on air quality in the city of Krakow before the use of solid fuels for residential heating was banned within the city of Krakow. The particulate matter (PM) was collected on 126 24-hour filter samples (January to September, both PM<sub>1</sub> and PM<sub>10</sub>, i.e., with an aerodynamic diameter smaller than 1 µm and 10 µm, respectively) and analyzed with an aerosol mass spectrometer and the sources of the organic aerosol (OA) quantified. Secondary OA (SOA) likely from residential heating was the main contributor to winter-time OA (78% in PM<sub>1</sub>, 57% in PM<sub>10</sub>) and was composed of equal parts of fossil and non-fossil emissions. Additionally, fresh solid fuel combustion emissions from residential heating contribute to OA during winter (coal combustion OA (CCOA): 12%, biomass burning OA (BBOA): 3%). While BBOA contributed substantially to water-soluble OA, COOA was found to be water-insoluble and thus not identified as part of water-soluble OA. Together with the fairly low water-solubility of WOOA (29%), this leads to a low overall water-solubility of organic carbon during winter (35%). In contrast, spring and summer were characterized by more soluble organic carbon (71% in PM<sub>1</sub>, 55% in PM­<sub>10</sub>) which was dominated by biogenic sources (non-fossil), i.e., fine biogenic secondary oxygenated OA (summer oxygenated OA (SOOA): 35% in PM<sub>1</sub>) and coarse primary biological OA (PBOA: 54% in PM<sub>10</sub>). Overall, here we provide information on OA’s sources needed to evaluate the success of mentioned efforts to improve air quality in Krakow in future studies.
DOI: 10.5281/zenodo.7071647
title: Organic aerosol sources in Krakow, Poland, before implementation of a solid fuel residential heating ban

description: Krakow is a pollution hot-spot in Europe which is thought to be caused mainly by a high use of coal combustion (power plants, residential heating). Here, we quantify the impact of coal burning on air quality in the city of Krakow before the use of solid fuels for residential heating was banned within the city of Krakow. The particulate matter (PM) was collected on 126 24-hour filter samples (January to September, both PM<sub>1</sub> and PM<sub>10</sub>, i.e., with an aerodynamic diameter smaller than 1 µm and 10 µm, respectively) and analyzed with an aerosol mass spectrometer and the sources of the organic aerosol (OA) quantified. Secondary OA (SOA) likely from residential heating was the main contributor to winter-time OA (78% in PM<sub>1</sub>, 57% in PM<sub>10</sub>) and was composed of equal parts of fossil and non-fossil emissions. Additionally, fresh solid fuel combustion emissions from residential heating contribute to OA during winter (coal combustion OA (CCOA): 12%, biomass burning OA (BBOA): 3%). While BBOA contributed substantially to water-soluble OA, COOA was found to be water-insoluble and thus not identified as part of water-soluble OA. Together with the fairly low water-solubility of WOOA (29%), this leads to a low overall water-solubility of organic carbon during winter (35%). In contrast, spring and summer were characterized by more soluble organic carbon (71% in PM<sub>1</sub>, 55% in PM­<sub>10</sub>) which was dominated by biogenic sources (non-fossil), i.e., fine biogenic secondary oxygenated OA (summer oxygenated OA (SOOA): 35% in PM<sub>1</sub>) and coarse primary biological OA (PBOA: 54% in PM<sub>10</sub>). Overall, here we provide information on OA’s sources needed to evaluate the success of mentioned efforts to improve air quality in Krakow in future studies.
DOI: 10.5281/zenodo.7714224
title: Live births records

description: live births records
DOI: 10.5281/zenodo.7714223
title: Live births records

description: live births records
DOI: 10.25921/qv67-nz32
title: EK60 Water Column Sonar Data Collected During HB2203
DOI: 10.48577/jpl.s9j00r
title: Data set for the article ‘Unfolding the neutron flux spectrum on the surface of Mars using the MSL-RAD and Odyssey-HEND data’

description: The data attached was collected by the MSL-RAD and 2001-Mars Odyssey – HEND instruments on Mars. The data was cleaned and filter for 17 periods during the MSL mission. With the data we were able to create an empirical model and obtained the neutron environment and dose at the surface of Mars. The data was divided in periods of sols from the MSL mission. Total of 32 files are upload to the repository. Each timer interval has two data set associated (RAD and HEND). The size of the files varies from ~200 kb to 5 MB. Formats: Excel files. Each tab of the excel file contains one variable.
DOI: 10.26186/147729
title: Cenozoic alkaline and related igneous rocks of Australia GIS

description: Alkaline and related rocks are a relatively rare class of igneous rocks worldwide. Alkaline rocks encompass a wide range of rock types and are mineralogically and geochemically diverse. They are typically though to have been derived by generally small to very small degrees of partial melting of a wide range of mantle compositions. As such these rocks have the potential to convey considerable information on the evolution of the Earth’s mantle (asthenosphere and lithosphere), particularly the role of metasomatism which may have been important in their generation or to which such rocks may themselves have contributed. Such rocks, by their unique compositions and or enriched source protoliths, also have considerable metallogenic potential, e.g., diamonds, Th, U, Zr, Hf, Nb, Ta, REEs. It is evident that the geographic occurrences of many of these rock types are also important, and may relate to presence of old cratons, craton margins or major lithospheric breaks. Finally, many alkaline rocks also carry with them mantle xenoliths providing a snapshot of the lithospheric mantle composition at the time of their emplacement.<br>Accordingly, although Alkaline and related rocks comprise only a volumetrically minor component of the geology of Australia, they are of considerable importance to studies of lithospheric composition, evolution and architecture and to helping constrain the temporal evolution of the lithosphere, as well as more directly to metallogenesis and mineralisation.<br>This GIS product is part of an ongoing compilation of the distribution and geology of alkaline and related rocks throughout Australia. The accompanying report document alkaline and related rocks of Cenozoic age.
DOI: 10.6084/m9.figshare.19354688.v1
title: DATA_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx

description: This dataset contains the data from a longitudinal study on pregnant women. There are variables of age, height, parity, education, residence, income, smoking_now (during pregnancy), smoking_before, and fetus sex which have all been collected once. The variables that have been collected repeatedly (in the first, second and third trimester and 6 weeks postpartum) are the gestation age, recent health problems and the scores for the Disgust Scale-Revised (DS-R), specifically the subscales "Core", "Animal Reminder" and "Contamination" and the overall score.<br>The data in the dataset appear in two different formats on two separate lists, suitable for different analyses.<br>We studied longitudinal changes in disgust sensitivity during pregnancy and after birth using mixed models. We also looked at the effect of recent health problems on disgust sensitivity in different times during pregnancy and after birth. <br><br>
DOI: 10.6084/m9.figshare.19354688.v2
title: DATA_Longitudinal changes in disgust sensitivity during pregnancy and the early postpartum period, and the role of recent health problems.xlsx

description: This dataset contains the data from a longitudinal study on pregnant women. There are variables of age, height, parity, education, residence, income, smoking_now (during pregnancy), smoking_before, and fetus sex which have all been collected once. The variables that have been collected repeatedly (in the first, second and third trimester and 6 weeks postpartum) are the gestation age, recent health problems and the scores for the Disgust Scale-Revised (DS-R), specifically the subscales "Core", "Animal Reminder" and "Contamination" and the overall score.<br>The data in the dataset appear in two different formats on two separate lists, suitable for different analyses.<br>We studied longitudinal changes in disgust sensitivity during pregnancy and after birth using mixed models. We also looked at the effect of recent health problems on disgust sensitivity in different times during pregnancy and after birth. <br><br>
DOI: 10.7303/syn50897018.4
title: Cross-population, cell-type informed atlas of gene, isoform, and splicing regulation in the developing human brain
DOI: 10.34740/kaggle/dsv/5137267
title: Georgia Crime by county 2019 - 2021