cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2pcqzs
title: CCDC 2483936: Experimental Crystal Structure Determination

description: Related Article: Esther Y.H. Hung, Benjamin M. Gallant, Robert Harniman, Jakob Möbs, Santanu Saha, Khaled Kaja, Charles Godfrey, Shrestha Banerjee, Nikolaos Famakidis, Harish Bhaskaran, Marina R. Filip, Paolo Radaelli, Nakita K. Noel, Dominik J. Kubicki, Harry C. Sansom, Henry J. Snaith|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c15484
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: 10.4231/m2z8-nt18
title: Multi-Year Study Maize Agrivoltaics Soil Moisture Data

description: &lt;p&gt;Soil moisture data is an important feature for agronomic work, and it speaks true for agrivoltaic work as well. This research specifically attempts to link spatial location of shading with changes in soil moisture. Howver, for a couple of years, the soil moisture data had to be approximated due to lack of/missing data. To do so, a multiple fold Bayesian Regularization Neural Network had to be employed to extrapolate the limited data we had from the latter end of the growing seasons in 2020 and 2021 to the beginning of the seasons. In this repository, one may find the original data, the volumetric water content collected from sensors used on the field. Additionally, the data used for training and extrapolation, which is climatic data downloaded from NREL&#39;s NSRDB site, including: DHI, DNI, Dew Point, Surface Albedo, Wind Speed, Relative Humidity, Temperature, Pressure, GHI, Cloud Type, Solar Zenith, and Precipitable Water. Lastly, the calculated data for the full growing season will be found. &lt;/p&gt;
description: Volumetric water content (m^3/m^3) data for agrivoltaic experimental setup. Here will also be the data which was inputed based off a k-fold Bayesian Regularization Neural Network.
DOI: 10.5517/ccdc.csd.cc2pcr0v
title: CCDC 2483937: Experimental Crystal Structure Determination

description: Related Article: Esther Y.H. Hung, Benjamin M. Gallant, Robert Harniman, Jakob Möbs, Santanu Saha, Khaled Kaja, Charles Godfrey, Shrestha Banerjee, Nikolaos Famakidis, Harish Bhaskaran, Marina R. Filip, Paolo Radaelli, Nakita K. Noel, Dominik J. Kubicki, Harry C. Sansom, Henry J. Snaith|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c15484
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.cc2pcr1w
title: CCDC 2483938: Experimental Crystal Structure Determination

description: Related Article: Esther Y.H. Hung, Benjamin M. Gallant, Robert Harniman, Jakob Möbs, Santanu Saha, Khaled Kaja, Charles Godfrey, Shrestha Banerjee, Nikolaos Famakidis, Harish Bhaskaran, Marina R. Filip, Paolo Radaelli, Nakita K. Noel, Dominik J. Kubicki, Harry C. Sansom, Henry J. Snaith|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c15484
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.cc2pcr2x
title: CCDC 2483939: Experimental Crystal Structure Determination

description: Related Article: Esther Y.H. Hung, Benjamin M. Gallant, Robert Harniman, Jakob Möbs, Santanu Saha, Khaled Kaja, Charles Godfrey, Shrestha Banerjee, Nikolaos Famakidis, Harish Bhaskaran, Marina R. Filip, Paolo Radaelli, Nakita K. Noel, Dominik J. Kubicki, Harry C. Sansom, Henry J. Snaith|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c15484
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.cc2pcr3y
title: CCDC 2483940: Experimental Crystal Structure Determination

description: Related Article: Esther Y.H. Hung, Benjamin M. Gallant, Robert Harniman, Jakob Möbs, Santanu Saha, Khaled Kaja, Charles Godfrey, Shrestha Banerjee, Nikolaos Famakidis, Harish Bhaskaran, Marina R. Filip, Paolo Radaelli, Nakita K. Noel, Dominik J. Kubicki, Harry C. Sansom, Henry J. Snaith|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c15484
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.cc2ng8v8
title: CCDC 2456590: Experimental Crystal Structure Determination

description: Related Article: Alexander J. Bukvic, Martin Albrecht|2025|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c02873
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.cc2pcr4z
title: CCDC 2483941: Experimental Crystal Structure Determination

description: Related Article: Esther Y.H. Hung, Benjamin M. Gallant, Robert Harniman, Jakob Möbs, Santanu Saha, Khaled Kaja, Charles Godfrey, Shrestha Banerjee, Nikolaos Famakidis, Harish Bhaskaran, Marina R. Filip, Paolo Radaelli, Nakita K. Noel, Dominik J. Kubicki, Harry C. Sansom, Henry J. Snaith|2025|J.Am.Chem.Soc.|||doi:10.1021/jacs.5c15484
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: 10.4231/myz4-8s55
title: Traffic Signal LiDAR-derived Vehicle Trajectories Dataset

description: &lt;p&gt;This dataset provides the estimated location of vehicle trajectories sampled from LiDAR sensors at the intersection of US-89 and 600 N (latitude: 40.782395, longitude: -111.899691) in Salt Lake City, Utah, from 15:49:25 to 17:14:00 hrs. (MT) on December 30, 2022.&lt;/p&gt;

&lt;p&gt;All four corners of the intersection were equipped with LiDAR sensors. All sensors were used to detect traversing objects. The sensor located at the north-east corner served as reference (i.e., origin of the coordinate system). The dataset (LiDAR_vehicle_trajectories.csv) contains 131,093 records and consists of the following attributes:&lt;/p&gt;

&lt;ol&gt;
 &lt;li&gt;obj_temp_id: a tracked object identifier&lt;/li&gt;
 &lt;li&gt;epoch_time: epoch unix time&lt;/li&gt;
 &lt;li&gt;x: offset of the detected object in the x-direction in meters in relation to the reference LiDAR&lt;/li&gt;
 &lt;li&gt;y: offset of the detected object in the y-direction in meters in relation to the reference LiDAR&lt;/li&gt;
 &lt;li&gt;speed: speed of the detected object in meters/second&lt;/li&gt;
 &lt;li&gt;heading: relative direction of travel in degrees&lt;/li&gt;
 &lt;li&gt;length: length of the detected object in meters&lt;/li&gt;
 &lt;li&gt;no_of_points: number of points reflected by the detected object&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;This data can be used for different purposes, such as safety and performance evaluation. No samples of vehicles traveling below 10 mph are provided. The sample frequency for most identified objects is 10 Hz.&lt;/p&gt;
description: Vehicle trajectories sampled with LiDAR sensors at US-89 and 600 N in Salt Lake City, UT, from 15:49:25 to 17:14:00 hrs. (MT) on December 30, 2022.
DOI: 10.5517/ccdc.csd.cc2nqch8
title: CCDC 2464360: Experimental Crystal Structure Determination

description: Related Article: S. Pulleri Vadhyar, E. Nikbin, H. Daoud, J.Y. Howe, R.J.D. Miller|2025|J.Appl.Crystallogr.|58|2119|doi:10.1107/S1600576725009823
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.cc2pblxk
title: CCDC 2482849: Experimental Crystal Structure Determination

description: Related Article: Takin Haj Hassani Sohi, Lea Pongratz, Felix Maaß, Sarah Merzenich, Laura Samperisi, Constantin Czekelius, Vera Vasylyeva|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01261
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: 10.4231/2x06-rx08
title: Sizing sex in early developmental stages in a frog-biting mosquito

description: &lt;p&gt;Sexual size variation in adult holometabolous insects may arise from selection pressures impacting ontogenetic stages associated with diverse habitats and resource use. In addition, scaling relations of these sexually size dimorphic traits play an important role in morphological diversification. In mosquitoes, given the differences in feeding strategies between the sexes, investigations of the ontogeny of sexually dimorphic traits are of particular interest to understanding their reproductive biology and implementing early sex-separating technologies for vector control. However, our current knowledge of the morphological scaling of body parts across males and females is centered around a few, well-known species of anthropophilic mosquitoes. In general, there is a noticeable gap in our understanding of the developmental biology of mosquitoes with limited medical consequences. One such mosquito is &lt;em&gt;Uranotaenia lowii&lt;/em&gt; (Diptera: Culicidae), a species of growing interest due to its unique host use of feeding exclusively on frogs by eavesdropping on their mating calls. This study takes a step forward toward filling this gap by investigating morphometrical allometry of sexual size dimorphic traits during the ontogeny of &lt;em&gt;Ur. lowii&lt;/em&gt;. We examined larval and pupal stages to focus on traits that allow sex identification to evaluate various sex-sorting techniques that provide a foundation for experimental manipulation. This research sheds light on the biology of &lt;em&gt;Ur. lowii,&lt;/em&gt; an understudied mosquito species, and establishes the groundwork for future investigations addressing the developmental and reproductive biology of frog-biting mosquitoes.&lt;/p&gt;
description: Larval and pupal stages of Uranotaenia lowii were examined to focus on traits that allow sex identification and to evaluate various sex-sorting techniques that provide a foundation for experimental manipulation.
DOI: 10.5517/ccdc.csd.cc2n8y74
title: CCDC 2451456: Experimental Crystal Structure Determination

description: Related Article: Vinjamuri Srinivasu, Ajmeera Balaraju, Pratap Mondal, Devarajulu Sureshkumar|2025|J.Org.Chem.|||doi:10.1021/acs.joc.5c02434
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.cc2nwqz8
title: CCDC 2469521: Experimental Crystal Structure Determination

description: Related Article: Lian-Jie Li, Dan Li, Haixia Zhao, Yue Pu, Chen Chen, Jian Wang|2025|Org.Lett.|||doi:10.1021/acs.orglett.5c04429
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: 10.4231/a420-r024
title: Data for: Egg size scales negatively with system size in a periodic fish species

description: &lt;p&gt;To assess potential intraspecific variation of fish egg size over a gradient of system sizes, we collected yellow perch (&lt;em&gt;Perca flavescens&lt;/em&gt;) from 12 locations across systems ranging in surface area from 37 to 5,390,492 hectares. Sampling took place in 2018, 2019 and 2023. When we captured spawning female yellow perch, we measured their total lengths and collected unfertilized egg samples to be stored in 10% formalin. We imaged preserved eggs under a dissecting microscope and measured their diameters with ImageJ software. For each female, we randomly selected 10 eggs, from which we measured two perpendicular diameters. From these measurements, we obtained a mean egg diameter value to correspond with each individual female. Through analysis we found that on average, yellow perch egg size decreased as system surface area increased.&lt;/p&gt;
description: Measurements of spawning female yellow perch total length and unfertilized egg diameter from 12 locations in the Laurentian Great Lakes Region.
DOI: 10.4231/dk82-0t58
title: Climate-influenced phenology of larval fish transport in a large lake

description: &lt;p&gt;In large lake ecosystems, e.g., Lake Michigan, USA, larval fish environmental experiences and recruitment dynamics are directly influenced by climate-driven physical transport processes that advect passive larvae through heterogeneous habitats. Integrating a series of climate, hydrodynamic, biogeochemical, and Lagrangian particle dispersion models, we simulate the hatch and transport of fish larvae throughout Lake Michigan and evaluate patterns of historic and potential future climate-induced larval transport. Results demonstrate that prior to summer stratification relatively strong alongshore currents, generated by the nearshore thermal bar, limit offshore transport of nearshore hatched fish larvae. Shift towards greater offshore transport became more frequent with the onset of summer stratification, which occurred earlier during relatively warm historic and future years. Nearshore retention may have important implications for larval fish growth and/or survival.&lt;/p&gt;
description: Here, we integrate a series of climate, hydrodynamic, biogeochemical, and Lagrangian particle dispersion models to investigate larval fish transport phenology within a large lake.
DOI: 10.4231/tp7n-8b10
title: Northeast Region Household Data. NER-Stat: Caregiving Survey

description: &lt;p&gt;The NER-Stat: Caregiving Survey is the regional household survey NCRCRD conducted in collaboration with Ohio State University and Pennsylvania State University. It is a 15-minute survey focusing solely on households in the Northeast Region (NER) and asks questions about household demographics, education, non-caregiving, and child, adult, and elderly caregiving.&lt;/p&gt;

&lt;p&gt;The primary purpose of this survey is to learn more about individuals and families who provide care and how caregiving affects economic development and quality of life in the Northeast Region. All data gathered via the NER-Stat: Caregiving Survey are available for those who want to use the data as a baseline for further research and extend the portfolio of already existing databases. The information gathered from this survey is intended to be shared with communities, organizations, and decision-makers to help inform future policies and programs to support better caregiving and caregivers in the Northeast Region.&lt;/p&gt;

&lt;p&gt;The survey was designed as an online survey using Qualtrics. Qualtrics&reg; distributed the survey and gathered data based on pre-defined sampling quotas and screening questions. The goal was to maximize participation in the survey throughout the states, across rural and urban areas, household types, race and ethnicity, age groups, and gender. The dataset includes household data from all states in the NER: Connecticut, Delaware, the District of Columbia, Maine, Maryland, Massachusetts, New Jersey, New Hampshire, New York, Pennsylvania, Rhode Island, Vermont, and West Virginia. The final number of respondents is 4,480, of which 725 respondents only cared for a child/children, 714 respondents only cared for an adult(s), and 1,175 respondents cared for a child/children and adult(s).&lt;/p&gt;
description: The NCRCRD, Ohio State University, and Pennsylvania State University collected household data for the Northeast Region to learn more about individuals and families who provide child, adult, and/or elder caregiving.
DOI: 10.4231/q22g-we30
title: North Central Region Household Data. NCR-Stat: Caregiving Survey

description: &lt;p&gt;The NCR-Stat: Caregiving Survey is the regional household survey that NCRCRD conducted in collaboration with Ohio State University and the National Farm Medicine Center. It is a 15-minute survey that focuses solely on households in the NCR states and asks questions about household demographics, education, non-caregiving, and child, adult, and elderly caregiving.&lt;/p&gt;

&lt;p&gt;The primary purpose of this survey is to learn more about individuals and families who provide care and how caregiving affects economic development and quality of life in the North Central Region. All data gathered via the NCR-Stat: Caregiving Survey are available for those who want to use the data as a baseline for further research and extend the portfolio of already existing databases. The information gathered from this survey is intended to be shared with communities, organizations, and decision-makers to help inform future policies and programs and better support caregiving and caregivers in the North Central Region.&lt;/p&gt;

&lt;p&gt;The survey was designed as an online survey using Qualtrics. Qualtrics&reg; distributed the survey and gathered data based on pre-defined sampling quotas and screening questions. The goal was to maximize participation in the survey throughout the states, across rural and urban areas, household types, race and ethnicity, age groups, and gender. Based on the population characteristics of each NCR state, Qualtrics&reg; applied two different data-gathering methods. An online survey was distributed to households in Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Ohio, and Wisconsin. A mixed-method approach (online panel and Computer Assisted Telephone Interviewing &ndash; CATI) was used in Nebraska, North Dakota, and South Dakota. The final number of respondents is 4,532, of which 1,596 are child caregivers and 1,325 are adult caregivers.&lt;/p&gt;
description: The NCRCRD, Ohio State University, and the National Farm Medicine Center collected household data for the North Central Region to learn more about individuals and families who provide child, adult, and/or elder caregiving.
DOI: 10.4231/ckg3-bg72
title: Superconducting Diode Effect in Two-dimensional Topological Insulator Edges and Josephson Junctions

description: &lt;p&gt;The superconducting diode effect -- the dependence of critical current on its direction -- can arise from the simultaneous breaking of inversion and time-reversal symmetry in a superconductor and has gained interest for its potential applications in superconducting electronics. In this dataset, we study the effect in a two-dimensional topological insulator (2D TI) in both a uniform geometry as well as in a long Josephson junction. We show that in the presence of Zeeman fields, a circulating edge current enables a large non-reciprocity of the critical current. We find a maximum diode efficiency 1 for the uniform 2D TI and (&radic;2 &minus; 1)&lt;sup&gt;2&lt;/sup&gt; &asymp; 0.17 for the long Josephson junction.&lt;/p&gt;

&lt;p&gt;The code in this dataset uses the Kwant package for python to calculate the energy eigenvalues and eigenstates of models of a 2D TI ribbon and a 2D TI Josephson junction. Using the code provided in this dataset, one can calculate &amp; plot the band structures, probability densities, and critical current vs. Zeeman field for the 2D TI ribbon, and calculate &amp; plot the energy vs. phase, ground state energy vs. phase, and Josephson current vs. phase for the 2D TI Josephson junction. One can also calculate the Josephson diode efficiency of a long Josephson junction using its piece-wise linear single-edge current under various Zeeman fields.&lt;/p&gt;
description: Code that simulates a 2D TI ribbon and a 2D TI Josephson junction.
DOI: 10.15468/dl.54g46e
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Cenolophium denudatum",
 "Year 2000-2024"
 ]
}

 The dataset includes 400 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059557-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.