cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr24127.v1
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2001 [United States]
title: Version 1

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2001. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2001.
DOI: 10.3886/icpsr24127.v2
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2001 [United States]
title: Version 2

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2001. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2001 [United States]
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2001.
DOI: 10.5517/ccdc.csd.cc2g3q0b
title: CCDC 2267681: Experimental Crystal Structure Determination

description: Related Article: Xiaoding Jiang, Xu He, Jonathan Wong, Stephan Scheeff, Sam Chun-Kit Hau, Tak Hin Wong, Yao Qin, Chi Hang Fan, Bowen Ma, Ngai Lam Chung, Junzhe Huang, Jiajia Zhao, Yu Yan, Min Xiao, Xueqin Song, Tony K. C. Hui, Zhong Zuo, William Ka-Kei Wu, Ho Ko(, Kim Hei-Man Chow(, Billy Wai-Lung Ng|2024|JACS Au|4|3537|doi:10.1021/jacsau.4c00416
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.cc2g3q1c
title: CCDC 2267682: Experimental Crystal Structure Determination

description: Related Article: Xiaoding Jiang, Xu He, Jonathan Wong, Stephan Scheeff, Sam Chun-Kit Hau, Tak Hin Wong, Yao Qin, Chi Hang Fan, Bowen Ma, Ngai Lam Chung, Junzhe Huang, Jiajia Zhao, Yu Yan, Min Xiao, Xueqin Song, Tony K. C. Hui, Zhong Zuo, William Ka-Kei Wu, Ho Ko(, Kim Hei-Man Chow(, Billy Wai-Lung Ng|2024|JACS Au|4|3537|doi:10.1021/jacsau.4c00416
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.cc2g3q2d
title: CCDC 2267683: Experimental Crystal Structure Determination

description: Related Article: Xiaoding Jiang, Xu He, Jonathan Wong, Stephan Scheeff, Sam Chun-Kit Hau, Tak Hin Wong, Yao Qin, Chi Hang Fan, Bowen Ma, Ngai Lam Chung, Junzhe Huang, Jiajia Zhao, Yu Yan, Min Xiao, Xueqin Song, Tony K. C. Hui, Zhong Zuo, William Ka-Kei Wu, Ho Ko(, Kim Hei-Man Chow(, Billy Wai-Lung Ng|2024|JACS Au|4|3537|doi:10.1021/jacsau.4c00416
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.cc2g3q3f
title: CCDC 2267684: Experimental Crystal Structure Determination

description: Related Article: Xiaoding Jiang, Xu He, Jonathan Wong, Stephan Scheeff, Sam Chun-Kit Hau, Tak Hin Wong, Yao Qin, Chi Hang Fan, Bowen Ma, Ngai Lam Chung, Junzhe Huang, Jiajia Zhao, Yu Yan, Min Xiao, Xueqin Song, Tony K. C. Hui, Zhong Zuo, William Ka-Kei Wu, Ho Ko(, Kim Hei-Man Chow(, Billy Wai-Lung Ng|2024|JACS Au|4|3537|doi:10.1021/jacsau.4c00416
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.cc2g3q4g
title: CCDC 2267685: Experimental Crystal Structure Determination

description: Related Article: Xiaoding Jiang, Xu He, Jonathan Wong, Stephan Scheeff, Sam Chun-Kit Hau, Tak Hin Wong, Yao Qin, Chi Hang Fan, Bowen Ma, Ngai Lam Chung, Junzhe Huang, Jiajia Zhao, Yu Yan, Min Xiao, Xueqin Song, Tony K. C. Hui, Zhong Zuo, William Ka-Kei Wu, Ho Ko(, Kim Hei-Man Chow(, Billy Wai-Lung Ng|2024|JACS Au|4|3537|doi:10.1021/jacsau.4c00416
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.cc2g3q5h
title: CCDC 2267686: Experimental Crystal Structure Determination

description: Related Article: Xiaoding Jiang, Xu He, Jonathan Wong, Stephan Scheeff, Sam Chun-Kit Hau, Tak Hin Wong, Yao Qin, Chi Hang Fan, Bowen Ma, Ngai Lam Chung, Junzhe Huang, Jiajia Zhao, Yu Yan, Min Xiao, Xueqin Song, Tony K. C. Hui, Zhong Zuo, William Ka-Kei Wu, Ho Ko(, Kim Hei-Man Chow(, Billy Wai-Lung Ng|2024|JACS Au|4|3537|doi:10.1021/jacsau.4c00416
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.13862395
title: Supplementary Datasets for the Paper "A new view of seismicity under Mt. Etna volcano, Italy, 2014-2023 from multi-scale high-precision earthquake relocations"

description: Supplementary Datasets for the Paper Mapping finite-fault earthquake slip with spatial correlation between seismicity and point-source Coulomb failure stress change by Anthony Lomax, Tiziana Tuvè, Elisabetta Giampiccolo, Ornella CocinaDOI: https://doi.org/xxxx

20240724A_Etna_Seismicity_2014-2023_INGV-OE_NLL-SC.csv is the catalog of NLL-SC relocations presented in the paper in CSV (.csv) format.

File_S1_catalog_config_run.zip includes the relocated NLL-SC catalog in CSV (.csv) and NLL-Hypocenter (.hyp) formats, along with pick data, configuration and other files used to run the NLL-SC relocations presented in the paper.
DOI: 10.5281/zenodo.13862396
title: Supplementary Datasets for the Paper "A new view of seismicity under Mt. Etna volcano, Italy, 2014-2023 from multi-scale high-precision earthquake relocations"

description: Supplementary Datasets for the Paper Mapping finite-fault earthquake slip with spatial correlation between seismicity and point-source Coulomb failure stress change by Anthony Lomax, Tiziana Tuvè, Elisabetta Giampiccolo, Ornella CocinaDOI: https://doi.org/xxxx

20240724A_Etna_Seismicity_2014-2023_INGV-OE_NLL-SC.csv is the catalog of NLL-SC relocations presented in the paper in CSV (.csv) format.

File_S1_catalog_config_run.zip includes the relocated NLL-SC catalog in CSV (.csv) and NLL-Hypocenter (.hyp) formats, along with pick data, configuration and other files used to run the NLL-SC relocations presented in the paper.
DOI: 10.48577/jpl.kcayhi
title: A Long and Winding Path Through Space Weather Research

description: I have written my scientific bio concerning various topics of Space Weather with the aim of coming up with pointers to help young people with their careers. I have worked in other areas of Space Physics, but to include them would make this article even more disjoint than this article is already. I will introduce encounters with some of our scientific “luminaries” that were instrumental in my career. One of them, my thesis advisor at University of California at Berkeley, Kinsey Anderson said “whatever you do while doing science, have fun”. This is about the best piece of advice that I can pass down to you no matter what path you take, doing detailed data analysis research, theory or management. Moral #1. Listen to your elders. They can give you great advice! Sometimes. I will offer other pieces of advice, but will sometimes not call them out specifically.
DOI: 10.48577/jpl.gjc3th
title: Evaluating the use of Unoccupied Aircraft Systems (UAS) for planetary exploration in Mars-analog terrain

description: Planetary analog missions are essential for field-testing science operations and technology, as well as for understanding how to effectively use terrestrial localities to inform studies of extraterrestrial environments. Unoccupied Aircraft Systems (UAS) have great potential for planetary surface exploration and the Ingenuity helicopter, a part of the Mars 2020 mission, has already demonstrated the viability of flight on an extraterrestrial world. Although optimal applications of UAS for planetary exploration remain largely unconstrained, simulated missions in planetary analog terrains can inform operational best practices. As part of the Rover–Aerial Vehicle Exploration Network (RAVEN) project, we conducted a 12-sol Martian UAS mission simulation in the Holuhraun region of Iceland. The UAS had airborne imaging capability, as well as imaging, sampling, and geochemical analysis capabilities while landed. The specifications for the UAS followed preliminary designs for a future “Mars Science Helicopter”. The mission successfully characterized multiple surface units and acquired observations allowing for interpretation of the region’s geologic history. Oblique airborne images were essential for mission planning and were used to scout large areas to identify landing sites and targets for focused investigations. This strategy made efficient use of the ability of a UAS to perform both coarse and detailed observations. Sampling and spectroscopic measurements were successful, but limited to smoother terrain on which the UAS could land. As a planetary exploration vehicle, a UAS is most advantageous for exploring large areas and is particularly useful when the terrain may be impassable to ground-based traverses (e.g., by rovers or humans).
DOI: 10.48577/jpl.zqraix
title: Quartz Clouds in the Dayside Atmosphere of the Quintessential Hot Jupiter HD 189733 b

description: Recent mid-infrared observations with JWST's Mid-Infrared Instrument (MIRI) have resulted in the first direct detections of absorption features from silicate clouds in the transmission spectra of two transiting exoplanets, WASP-17 b and WASP-107 b. In this letter, we measure the mid-infrared (5–12 μm) dayside emission spectrum of the benchmark hot Jupiter HD 189733 b with MIRI low-resolution spectroscopy by combining data from two secondary-eclipse observations. We confirm the previous detection of H2O absorption at 6.5 μm from the Infrared Spectrograph on board Spitzer and additionally detect H2S as well as an absorption feature at 8.7 μm in both secondary-eclipse observations. The excess absorption at 8.7μm can be explained by the presence of small (∼0.01 μm) grains of SiO2[s] in the uppermost layers of HD 189733 b’s dayside atmosphere. This is the first direct detection of silicate clouds in HD 189733 b’s atmosphere, and the first detection of a distinct absorption feature from silicate clouds on the dayside of any hot Jupiter. We find that models including SiO2[s] are preferred by 6–7σ over clear models and those with other potential cloud species. The high-altitude location of these silicate particles is best explained by formation in the hottest regions of HD 189733 b’s dayside atmosphere near the substellar point. We additionally find that HD 189733 b’s emission spectrum longward of 9 μm displays residual features not well captured by our current atmospheric models. When combined with other JWST observations of HD 189733 b’s transmission and emission spectra at shorter wavelengths, these observations will provide us with the most detailed picture to date of the atmospheric composition and cloud properties of this benchmark hot Jupiter.
DOI: 10.48577/jpl.rhysyk
title: Monitoring the effects of climate, land cover and land use changes on multi-hazards in the Gianh River watershed, Vietnam

description: In recent decades, global rapid urbanization has exacerbated the impacts of natural hazards due to changes in Southeast Asia's environmental, hydrological, and socio-economic conditions. Confounding non-stationary processes of climate change and global warming and their negative impacts can make hazards more complex and severe, particularly in Vietnam. Such complexity necessitates a study that can synthesize multi-dimensional natural-human factors in disaster risk assessments. This synthesis study aims to assess and monitor climate change and land-cover/land-use change impacts on flood and landslide hazards in Vietnam’s Gianh River basin. Three different deep learning (DNN) and optimization algorithms, including the Adam, Tunicate Swarm Algorithm (TSA), and Dwarf Mongoose Optimization (DMOA) were used to determine the regions with the probability of the occurrence of flood and landslide and their combination. All efficiently evaluated hazard susceptibility based on a synthesis analysis encompassing 14 natural and anthropogenic conditioning factors. Of the three, the Deep Neural Network (DNN)-DMOA model performed the best for both flood and landslide susceptibility, with area-under-curve values of 0.99 and 0.97, respectively, followed by DNN-TSA (0.97 for flood, 0.92 for landslide), and DNN-Adam (0.96 for flood, 0.89 for landslide). Although the area affected by flooding is predicted to decrease, the overall trend for total hazard-prone areas increases over 2005–2050 due to the more extensive area affected by landslides. This study develop and demonstrate a robust framework to monitor multi-hazard susceptibility, taking into account the changes in climate and land-use influence the occurrence of multiple hazards. Based on the quantitative assessment, these findings can help policymakers understand and identify confounding hazard issues to develop proactive land-management aproaches in effective mitigation or adaptation strategies that are spatially and temporally appropriate.
DOI: 10.48577/jpl.m5bnhp
title: MEMS Phase Shifters for THz Beam-Scanning: Demonstration with a 500-600 GHz Leaky-Wave Phased Array

description: Beam-scanning capabilities for space-borne submillimeter-wave spectrometers are critical for instrument calibration and field-of-view mapping. However, the lack of low-loss waveguide-integrated phase shifters above 500 GHz has been a significant challenge for the realization of THz phased array antennas. Recently developed MEMS-actuated phase shifters have emerged as promising candidates, initiallydemonstrating a 145◦ phase shift. As a first demonstration of the efficacy of these phase shifters for electronic beam-steering, we present the design, fabrication, and characterization of a linear, near-Nyquist sampled, 4x1-element phased array operating from 500-600 GHz. The array element is a silicon micro-machined leaky-wave feed based on a Fabry-Perot cavity to enhance directivity and reduce grating lobes while achieving the bandwidth requirements with minimal scan loss. It is shown, through measurement, that this antenna feed is suitable for use in larger 8x1-element arrays for applications that require moderate gain (20 dBi) and scanning (±20◦) with a fan beam. Furthermore, we present measurement results of a secondgeneration of MEMS phase shifters with an increased measured phase shift up to 350◦ . A full 360◦ phase-wrapping capability is desired as this will enable high-gain lens-scanning phased arrays that can be used for future submillimeter-wave spectrometers.
DOI: 10.48577/jpl.iftz5r
title: The [OI] Fine Structure Line Profiles in Mon R2 and M17 SW: the Puzzling Nature of Cold Foreground Material Identified by [$^{12}$CII] Self-Absorption

description: Recent studies of the optical depth comparing [12CII] and [13CII] line profiles in Galactic star-forming regions have revealed strong self-absorption in [12CII] by low excitation foreground material. This implies a high column density for C+, corresponding to equivalent AV values of a few (up to about 10) mag. As the nature and origin of such a great column of cold C+ foreground gas are difficult to determine, it is essential to constrain the physical conditions of this material. We conducted high-resolution observations of [OI] 63 micron and 145 micron lines in M17 SW and Mon R2. The [OI] 145 micron transition traces warm PDR material, while the 63 micron line traces the foreground material, as manifested by the absorption dips. A comparison of both [O i] line profiles with [C ii] isotopic lines confirm warm PDR origin background emission and a significant column of cold foreground material, causing the self-absorption to be visible in the [CII] and [OI] 63 micron profiles. In M17 SW, the C+ and atomic oxygen column densities are comparable for both layers. Mon R2 exhibits larger atomic oxygen columns compared to C+, indicating additional material where the carbon is neutral or in molecular form. Small-scale spatial variations in the foreground absorption profiles and the large column density (~1e18 /cm2) of the foreground material suggest the emission is coming from high-density regions associated with the cloud complex – and not a uniform diffuse foreground cloud. The analysis confirms that the previously detected intense [CII] foreground absorption is attributable to a large column of low-excitation dense atomic material, where carbon is ionized and oxygen is in a neutral atomic form.
DOI: 10.5517/ccdc.csd.cc2j1f34
title: CCDC 2325065: Experimental Crystal Structure Determination

description: Related Article: Xiaoding Jiang, Xu He, Jonathan Wong, Stephan Scheeff, Sam Chun-Kit Hau, Tak Hin Wong, Yao Qin, Chi Hang Fan, Bowen Ma, Ngai Lam Chung, Junzhe Huang, Jiajia Zhao, Yu Yan, Min Xiao, Xueqin Song, Tony K. C. Hui, Zhong Zuo, William Ka-Kei Wu, Ho Ko(, Kim Hei-Man Chow(, Billy Wai-Lung Ng|2024|JACS Au|4|3537|doi:10.1021/jacsau.4c00416
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.