cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7581122
title: Additional file 2: of GOTrapper: a tool to navigate through branches of gene ontology hierarchy

description: 319 highly specific shared terms among 815 DEGs of the prostate cancer study. (TXT 693 bytes)
DOI: 10.6084/m9.figshare.7581125.v1
title: Additional file 3: of GOTrapper: a tool to navigate through branches of gene ontology hierarchy

description: 114 chromatin remodelers. (XLS 94 kb)
DOI: 10.7284/127175
title: Multibeam Echosounder data collected during research cruise FK171224 using a Kongsberg EM302 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7581116
title: Additional file 1: of GOTrapper: a tool to navigate through branches of gene ontology hierarchy

description: 815 DEGs from a prostate cancer study. (XLS 20 kb)
DOI: 10.6084/m9.figshare.7581122.v1
title: Additional file 2: of GOTrapper: a tool to navigate through branches of gene ontology hierarchy

description: 319 highly specific shared terms among 815 DEGs of the prostate cancer study. (TXT 693 bytes)
DOI: 10.6084/m9.figshare.7581116.v1
title: Additional file 1: of GOTrapper: a tool to navigate through branches of gene ontology hierarchy

description: 815 DEGs from a prostate cancer study. (XLS 20 kb)
DOI: 10.7284/127176
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK171224 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/127178
title: TSG (Thermosalinograph) data collected during research cruise FK171224 using a Sea-Bird SBE-45 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129311
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK180119 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129310
title: Expendable Probe data collected during research cruise FK180119 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129312
title: Fluorometer data collected during research cruise FK180119 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7581065
title: Additional file 3: of Trends in neonicotinoid pesticide residues in food and water in the United States, 1999–2015

description: Summary of Neonicotinoid Concentrations by CommodHybrid Groups, 1999 - 2015 (XLSX 45 kb)
DOI: 10.7284/129309
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK180119 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7581059
title: Additional file 2: of Trends in neonicotinoid pesticide residues in food and water in the United States, 1999–2015

description: LODs by Major Commodity, 1999–2015 (XLSX 134 kb)
DOI: 10.6084/m9.figshare.7581065.v2
title: Additional file 3: of Trends in neonicotinoid pesticide residues in food and water in the United States, 1999–2015

description: Summary of Neonicotinoid Concentrations by CommodHybrid Groups, 1999 - 2015 (XLSX 45 kb)
DOI: 10.7284/129308
title: Gyrocompass data collected during research cruise FK180119 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7581059.v1
title: Additional file 2: of Trends in neonicotinoid pesticide residues in food and water in the United States, 1999–2015

description: LODs by Major Commodity, 1999–2015 (XLSX 134 kb)
DOI: 10.6084/m9.figshare.7581065.v1
title: Additional file 3: of Trends in neonicotinoid pesticide residues in food and water in the United States, 1999â 2015

description: Summary of Neonicotinoid Concentrations by CommodHybrid Groups, 1999 - 2015 (XLSX 45 kb)
DOI: 10.7284/129681
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK180310 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129678
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise FK180310 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129680
title: Expendable Probe data collected during research cruise FK180310 using a Turo Quoll instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129682
title: Fluorometer data collected during research cruise FK180310 using a WET Labs ECO-FLNTU instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129677
title: GNSS (Global Navigation Satellite System) data collected during research cruise FK180310 using a C&C C-Nav 3050 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129676
title: Gyrocompass data collected during research cruise FK180310 using a Raytheon STD 22 instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129683
title: SSV (Sound Speed Velocimeter) data collected during research cruise FK180310 using a Valeport MiniSVS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129331
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise FK180415 using a Hawaii UHDAS instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/129328
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise FK180415 using a Sea-Bird SBE-911+ instrument system onboard the platform RV Falkor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.10211030
title: IODP Expedition 397T X-ray diffraction (XRD)

description: X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).
DOI: 10.5281/zenodo.10211031
title: IODP Expedition 397T X-ray diffraction (XRD)

description: X-ray diffraction (XRD) is used to identify minerals and their proportions in sediment or hard rock sample powders on a Bruker AXS D4 Endeavor X-ray diffractometer. Results are returned as diffractograms in a viewable format (either PDF or PNG).
DOI: 10.5281/zenodo.10204343
title: Mikkeli - Urban Circularity Assessment sheet, all data for 2019 analysis

description: This excel sheet contains the data for conducting the Urban Circularity Assessment for the year 2019 for Mikkeli, Finland. 
"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with 28 partners. (Official project website: https://cityloops.eu/). CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.
(For detailed information please visit: https://cityloops.metabolismofcities.org/dashboards/mikkeli/flows-stocks/1017815/)
DOI: 10.5281/zenodo.10204344
title: Mikkeli - Urban Circularity Assessment sheet, all data for 2019 analysis

description: This excel sheet contains the data for conducting the Urban Circularity Assessment for the year 2019 for Mikkeli, Finland. 
"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with 28 partners. (Official project website: https://cityloops.eu/). CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.
(For detailed information please visit: https://cityloops.metabolismofcities.org/dashboards/mikkeli/flows-stocks/1017815/)
DOI: 10.5281/zenodo.10210956
title: IODP Expedition 397T Laser height profile (section half)

description: Height profile data were measured on the Section Half Multisensor Logger (SHMSL) by a rangefinding laser and recorded in uncorrected height units in millimeters in CSV files.
DOI: 10.5281/zenodo.10210957
title: IODP Expedition 397T Laser height profile (section half)

description: Height profile data were measured on the Section Half Multisensor Logger (SHMSL) by a rangefinding laser and recorded in uncorrected height units in millimeters in CSV files.
DOI: 10.5281/zenodo.10204435
title: Sevilla - Urban Circularity Assessment sheet, all data for 2020 analysis

description: This excel sheet contains the data for conducting the Urban Circularity Assessment for the year 2020 for Sevilla, Spain. 
"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with 28 partners. (Official project website: https://cityloops.eu/). CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.
For detailed information please visit: https://cityloops.metabolismofcities.org/dashboards/sevilla/flows-stocks/1014337/
DOI: 10.5281/zenodo.10204436
title: Sevilla - Urban Circularity Assessment sheet, all data for 2020 analysis

description: This excel sheet contains the data for conducting the Urban Circularity Assessment for the year 2020 for Sevilla, Spain. 
"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with 28 partners. (Official project website: https://cityloops.eu/). CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.
For detailed information please visit: https://cityloops.metabolismofcities.org/dashboards/sevilla/flows-stocks/1014337/
DOI: 10.5281/zenodo.10210955
title: IODP Expedition 397T Piece log

description: Dataset includes length data for every whole-round piece: bin length, whole-round piece length (measured by curation staff), and both the archive- and working-half piece lengths (optionally measured by scientists).
DOI: 10.5281/zenodo.10210954
title: IODP Expedition 397T Piece log

description: Dataset includes length data for every whole-round piece: bin length, whole-round piece length (measured by curation staff), and both the archive- and working-half piece lengths (optionally measured by scientists).
DOI: 10.5281/zenodo.10210953
title: IODP Expedition 397T Rig instrumentation

description: Operational rig information data were measured using a variety of sensors and compiled using the RigWatch software package. Approximately 50 channels of drilling/coring data are captured in real time during the expedition. Data are presented as ASCII files extracted from the proprietary RigWatch data files and are presented by expedition. RigWatch data in time or depth domain can be imported into graphics and analysis programs to be merged and correlated with core physical properties data to enhance assessment of poor core recovery intervals.
DOI: 10.5281/zenodo.10204450
title: Roskilde - Sankey and indicator data for construction sector

description: This sheet was made by the CityLoops course participants for the Roskilde, Denmark and contains the data needed for the Sankey diagram and indicators for the SCA.
"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with 28 partners. (Official project website: https://cityloops.eu/). CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.
(For detailed information please visit: https://cityloops.metabolismofcities.org/library/1009536/)
DOI: 10.5281/zenodo.10204449
title: Roskilde - Sankey and indicator data for construction sector

description: This sheet was made by the CityLoops course participants for the Roskilde, Denmark and contains the data needed for the Sankey diagram and indicators for the SCA.
"CityLoops - Closing the loop for urban material flows" is a EU Horizon2020 project with 28 partners. (Official project website: https://cityloops.eu/). CityLoops brings together six ambitious European cities to demonstrate a series of innovative tools and urban planning approaches, aimed at closing the loops of urban material flows and increasing their regenerative capacity.
(For detailed information please visit: https://cityloops.metabolismofcities.org/library/1009536/)
DOI: 10.5281/zenodo.10210913
title: Data related to Ciona spp. and ascidians as bioindicator organisms for evaluating effects of endocrine disrupting chemicals: A discussion paper

description: This dataset is related to "Ciona spp. and ascidians as bioindicator organisms for evaluating effects of endocrine disrupting chemicals: A discussion paper" PMID: 37708617 doi: 10.1016/j.marenvres.2023.106170. Epub 2023 Sep 9.
DOI: 10.5281/zenodo.10210912
title: Data related to Ciona spp. and ascidians as bioindicator organisms for evaluating effects of endocrine disrupting chemicals: A discussion paper

description: This dataset is related to "Ciona spp. and ascidians as bioindicator organisms for evaluating effects of endocrine disrupting chemicals: A discussion paper" PMID: 37708617 doi: 10.1016/j.marenvres.2023.106170. Epub 2023 Sep 9.
DOI: 10.5281/zenodo.10210950
title: IODP Expedition 397T Natural gamma radiation

description: Natural gamma radiation (NGR) data in the ~0.1 to 3.0 MeV range were measured using eight custom-designed sodium iodide (thallium) [NaI(Tl)] detectors arranged along the core measurement axis at 20 cm intervals. The NGR system uses layers of passive shielding (lead) and active shielding (plastic scintillators and coincidence electronics) to reduce the cosmic-ray signal for low-count analysis of sediment core sections and to obtain the maximum signal-to-noise ratio. Data are reported on a total counts per second basis and the raw spectral files are available as compressed files for later analysis.
DOI: 10.5281/zenodo.10210951
title: IODP Expedition 397T Natural gamma radiation

description: Natural gamma radiation (NGR) data in the ~0.1 to 3.0 MeV range were measured using eight custom-designed sodium iodide (thallium) [NaI(Tl)] detectors arranged along the core measurement axis at 20 cm intervals. The NGR system uses layers of passive shielding (lead) and active shielding (plastic scintillators and coincidence electronics) to reduce the cosmic-ray signal for low-count analysis of sediment core sections and to obtain the maximum signal-to-noise ratio. Data are reported on a total counts per second basis and the raw spectral files are available as compressed files for later analysis.
DOI: 10.5281/zenodo.10210949
title: IODP Expedition 397T Magnetic susceptibility (point or contact system)

description: Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10-5).
DOI: 10.5281/zenodo.10210948
title: IODP Expedition 397T Magnetic susceptibility (point or contact system)

description: Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10-5).
DOI: 10.5281/zenodo.10210947
title: IODP Expedition 397T Magnetic susceptibility (whole round)

description: Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.
DOI: 10.5281/zenodo.10210946
title: IODP Expedition 397T Magnetic susceptibility (whole round)

description: Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.
DOI: 10.5281/zenodo.10210938
title: IODP Expedition 397T Photomicrographs

description: Microscopic images of discrete samples were acquired using stereo and upright light microscopes and captured on digital cameras. Image files were uploaded along with a brief description and a record of the microscopic and lighting conditions when the image was taken.
DOI: 10.5281/zenodo.10210939
title: IODP Expedition 397T Photomicrographs

description: Microscopic images of discrete samples were acquired using stereo and upright light microscopes and captured on digital cameras. Image files were uploaded along with a brief description and a record of the microscopic and lighting conditions when the image was taken.
DOI: 10.5281/zenodo.10210936
title: IODP Expedition 397T Moisture and Density

description: Moisture and density (MAD) data were acquired on ~10 mL sediment or rock samples by measuring three out of four material parameters: wet (saturated) mass, wet volume, dry mass, and/or dry volume after 24 h drying in a convection oven at 105 degrees C. From the moisture and volume measurements, the following phase relationships are calculated: wet and dry water content, wet bulk density, dry bulk density, grain density, porosity, and void ratio. The combination of measurements is defined by the submethod chosen: A, B, C, or D. Wet (A, B, or C) and dry (A, B, C, or D) mass is determined using motion-compensated balances.  Wet volume is determined either by helium pycnometry (A) or by the sample's geometric dimensions using calipers (A or D).  Dry volume (C or D) is measured by helium pycnometry.  Submethods A and B are not recommended by IODP.  Submethod C is suitable for saturated materials such as fine-grained sediments.  Submethod D is suitable for unsaturated porous material such as certain limestones and basalts.
DOI: 10.5281/zenodo.10210937
title: IODP Expedition 397T Moisture and Density

description: Moisture and density (MAD) data were acquired on ~10 mL sediment or rock samples by measuring three out of four material parameters: wet (saturated) mass, wet volume, dry mass, and/or dry volume after 24 h drying in a convection oven at 105 degrees C. From the moisture and volume measurements, the following phase relationships are calculated: wet and dry water content, wet bulk density, dry bulk density, grain density, porosity, and void ratio. The combination of measurements is defined by the submethod chosen: A, B, C, or D. Wet (A, B, or C) and dry (A, B, C, or D) mass is determined using motion-compensated balances.  Wet volume is determined either by helium pycnometry (A) or by the sample's geometric dimensions using calipers (A or D).  Dry volume (C or D) is measured by helium pycnometry.  Submethods A and B are not recommended by IODP.  Submethod C is suitable for saturated materials such as fine-grained sediments.  Submethod D is suitable for unsaturated porous material such as certain limestones and basalts.
DOI: 10.6084/m9.figshare.24316476
title: Double Machine Learning for Sample Selection Models

description: This article considers the evaluation of discretely distributed treatments when outcomes are only observed for a subpopulation due to sample selection or outcome attrition. For identification, we combine a selection-on-observables assumption for treatment assignment with either selection-on-observables or instrumental variable assumptions concerning the outcome attrition/sample selection process. We also consider dynamic confounding, meaning that covariates that jointly affect sample selection and the outcome may (at least partly) be influenced by the treatment. To control in a data-driven way for a potentially high dimensional set of pre- and/or post-treatment covariates, we adapt the double machine learning framework for treatment evaluation to sample selection problems. We make use of (a) Neyman-orthogonal, doubly robust, and efficient score functions, which imply the robustness of treatment effect estimation to moderate regularization biases in the machine learning-based estimation of the outcome, treatment, or sample selection models and (b) sample splitting (or cross-fitting) to prevent overfitting bias. We demonstrate that the proposed estimators are asymptotically normal and root-n consistent and investigate their finite sample properties in a simulation study. We also apply our proposed methodology to the Job Corps data. The estimator is available in the <i>causalweight</i> package for the statistical software R.
DOI: 10.6084/m9.figshare.24316476.v2
title: Double Machine Learning for Sample Selection Models

description: This article considers the evaluation of discretely distributed treatments when outcomes are only observed for a subpopulation due to sample selection or outcome attrition. For identification, we combine a selection-on-observables assumption for treatment assignment with either selection-on-observables or instrumental variable assumptions concerning the outcome attrition/sample selection process. We also consider dynamic confounding, meaning that covariates that jointly affect sample selection and the outcome may (at least partly) be influenced by the treatment. To control in a data-driven way for a potentially high dimensional set of pre- and/or post-treatment covariates, we adapt the double machine learning framework for treatment evaluation to sample selection problems. We make use of (a) Neyman-orthogonal, doubly robust, and efficient score functions, which imply the robustness of treatment effect estimation to moderate regularization biases in the machine learning-based estimation of the outcome, treatment, or sample selection models and (b) sample splitting (or cross-fitting) to prevent overfitting bias. We demonstrate that the proposed estimators are asymptotically normal and root-n consistent and investigate their finite sample properties in a simulation study. We also apply our proposed methodology to the Job Corps data. The estimator is available in the <i>causalweight</i> package for the statistical software R.