cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr38276.v1
title: Inference-Making and Reasoning: Refinement of an Assessment for Use in Gateway Biology Courses, Illinois, 2018-2019
title: Version 1

description: The goal of the Inference-Making and Reasoning in Biology (IMRB) measure was two-fold: To develop a measure that is reliable, valid, and fair across male/female, Under-Represented Minority (URM)/non-URM, and first-generation college/not first-generation students. To document that the measure can predict undergraduate introductory biology course grades Two different 15-item, 1-hour forms were developed. Examinees (4-year college students planning to take or already taking introductory biology) do not need any specific preparation or knowledge before taking the assessment, as they are given all the information they need to reason with and are asked to draw valid conclusions with that information. These forms can be used in any order and may be administered by any research or course staff. They can be given on paper or on computer, to individuals or groups, once or twice per semester.
description: The Inference-Making and Reasoning in Biology (IMRB) measure was intended to provide a tool that is reliable, valid, and fair across male/female, Under-Represented-Minority (URM)/non-URM, and first-generation/non-first-generation student cohorts. Additionally, the measure's capacity for predicting undergraduate introductory biology course grades was evaluated.
description: The IMRB was designed to measure deductive reasoning from newly-introduced information, without a need for all but the most basic prior subject knowledge. An initial panel of test items was produced following think-aloud sessions with undergraduate biology students. These items were then piloted by undergraduate introductory biology students. Items which did not perform well in reliability analyses were removed. Additional items were developed using insight gained from the reliability analysis, yielding a final count of 30 IMRB test items, used to produce two separate 15-item test forms.
description: Each dataset includes variables on the student's age, sex, year in school, parents' educational history, race, ACT test scores, and scores on the the IMRB test.
description: Presence of Common Scales: Inference-Making and Reasoning in Biology
description: Students from one introductory biology course who, each semester, volunteered to provide data.
description: Datasets: DS0: Study-Level Files DS1: Spring 2018 Assessment Data DS2: Fall 2018 Assessment Data DS3: Spring 2019 Assessment Data
description: Undergraduate students at two four-year US colleges taking a biology course designed for science, technology, engineering and math (STEM) majors. Smallest Geographic Unit: state
description: on-site questionnaire; web-based survey
DOI: 10.25345/c5dw06
title: MassIVE MSV000088541 - AAC_Protemics: FOX Sample DAP-R MRSA D712
title: DAP-R MRSA Strain D712 Cefoxitin Pre-Conditioning from Proteome Discoverer
DOI: 10.6092/unibo/amsacta/6821
title: MedAID. WP2. Improving zootechnical performance. Raw data on Gilthead Sea Bream (Sparus aurata) feeding trials

description: The dataset contains the results of MedAID project in vivo feeding trials performed on Gilthead seabream (Sparus aurata) at University of Bologna facilities. Each feeding trial was focused on studying the interaction between a specific environmental condition (rearing density in one, seasonal temperature changes in another, daily feeding frequencies in another one) in presence of different dietary conditions. The results of the trials were presented in the following papers: 1) “Parma, L., Pelusio, N. F., Gisbert, E., Esteban, M. A., D'Amico, F., Soverini, M., Candela, M., Dondi, F., Gatta, P. P. and Bonaldo, A. (2020). Effects of rearing density on growth, digestive conditions, welfare indicators and gut bacterial community of gilthead sea bream (Sparus aurata, L. 1758) fed different fishmeal and fish oil dietary levels. Aquaculture, 518, 734854”. doi: 10.1016/j.aquaculture.2019.734854; 2) “Pelusio, N. F., Scicchitano, D., Parma, L., Dondi, F., Brini, E., D’Amico, F., Candela, M., Yufera, M., Gilannejad, N., Moyano, F. J., Gatta, P. P. and Bonaldo, A. (2021). Interaction Between Dietary Lipid Level and Seasonal Temperature Changes in Gilthead Sea Bream Sparus aurata: Effects on Growth, Fat Deposition, Plasma Biochemistry, Digestive Enzyme Activity, and Gut Bacterial Community. Frontiers in Marine Science, 8, 549”. doi: 10.3389/fmars.2021.664701; 3) “Busti, S., Bonaldo, A., Dondi, F., Cavallini, D., Yúfera, M., Gilannejad, N., Moyano, F. J., Gatta, P. P. and Parma, L. (2020). Effects of different feeding frequencies on growth, feed utilisation, digestive enzyme activities and plasma biochemistry of gilthead sea bream (Sparus aurata) fed with different fishmeal and fish oil dietary levels. Aquaculture, 529, 735616”. doi: 10.1016/j.aquaculture.2020.735616.
DOI: 10.25345/c5987q
title: MassIVE MSV000088542 - CnH1_48 Fractions run fall 2021
title: These are the fractions from CnH1-48. They are named based on the fraction number and the tube number.
DOI: 10.5258/soton/d2009
title: Dataset for Operando Characterization of Active Surface Area and Passivation Effects on Sulfur-Carbon Composites for Lithium-Sulfur Batteries

description: Data to support article "Operando Characterization of Active Surface Area and Passivation Effects on Sulfur-Carbon Composites for Lithium-Sulfur Batteries" in Electrochimica Acta. 10.1016/j.electacta.2021.139572
DOI: 10.25390/caryinstitute.11801052.v40
title: Cary Institute Environmental Monitoring Program Current Year Data 2021

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2018 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.5258/soton/d2044
title: Dataset for: Mesh Networking for Intermittently-powered Devices: Architecture and Challenges

description: Radio performance data of selected 868/900MHz radios and associated matlab files used to generate plot in article titled "Mesh Networking for Intermittently-powered Devices: Architecture and Challenges " published in IEEE Network.
DOI: 10.5281/zenodo.5765499
title: Terrestrial Fossil Occurrences from Paleodb, Late Triassic to Early Jurassic

description: Data Used for RCES Final Project. Data collected from: https://paleobiodb.org/data1.2/specs/list.csv?datainfo&rowcount&taxon_reso=lump_genus&idqual=certain&max_ma=237&min_ma=173.4&envtype=terr,terrother&show=acconly Original data subject to change with dataset. The file posted here will not.
DOI: 10.5281/zenodo.5765498
title: Terrestrial Fossil Occurrences from Paleodb, Late Triassic to Early Jurassic

description: Data Used for RCES Final Project. Data collected from: https://paleobiodb.org/data1.2/specs/list.csv?datainfo&rowcount&taxon_reso=lump_genus&idqual=certain&max_ma=237&min_ma=173.4&envtype=terr,terrother&show=acconly Original data subject to change with dataset. The file posted here will not.
DOI: 10.26208/0dy9-dw52
title: A High-Resolution Tropical Mesoscale Convective System Reanalysis Product

description: The advent of modern global reanalysis products has greatly accelerated meteorological research into synoptic to planetary-scale phenomena. However, their usage in studying tropical mesoscale convective systems (MCSs) is mostly limited to supplying initial and boundary conditions to MCS-resolving simulations and providing information about the tropical MCSs’ large-scale environments. These limitations are due to the global products’ difficulties in resolving tropical MCS dynamics, and the fact that tropical MCSs often occur over ill-observed regions. In this work, a Tropical MCS-resolving Reanalysis product (TMeCSR) was created over a region spanning the tropical Indian Ocean, tropical continental Asia, the Maritime Continent, and the Western Pacific. Tropical MCSs frequently occur in these regions. The TMeCSR is produced by assimilating all-sky infrared radiances from geostationary satellites and other conventional observations, into an MCS-resolving regional model using the Ensemble Kalman Filter (EnKF). The resulting observation-constrained high-resolution (9-km grid spacing) dataset is currently available at every hour for the three boreal summer months (June-August) of 2017. Comparisons of the TMeCSR and ERA5 datasets against independent satellite-retrieved outgoing longwave radiation and rainfall data indicate that the TMeCSR’s multiscale cloud and rain fields are better than the ERA5’s. Furthermore, the TMeCSR better captured the diurnal variability of rainfall. Forecasts initialized from the TMeCSR also produced more accurate rain and cloud forecasts than those initialized from ERA5. The TMeCSR and ERA5 datasets had similar performances with respect to sounding and surface observations. These results indicate that the TMeCSR might be a promising MCS-resolving dataset for future tropical MCS studies.
DOI: 10.5281/zenodo.4641561
title: ChinaHighPM1: Big Data Full-coverage Ground-level PM1 L3 Yearly 0.1 Deg Product

description: ChinaHighPM<sub>1</sub> is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. This is the Big Data Level 3 (L3) yearly 0.1 degree (≈ 10 km) gridded <strong>full-coverage</strong> ground-level PM<sub>1</sub> products in Eastern China (ECHAP_CO_Y10K) from 2013 to 2020, which are averaged from the Level 2 daily products. This dataset has high accuracy with a cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.82 and a root-mean-square error (RMSE) of 10.86 µg m<sup>-3</sup> on a daily basis. If you use the ChinaHighPM<sub>1</sub> dataset for related scientific research, please cite the corresponding reference (Wei et al., RSE, 2021). <strong>Note that this dataset is continuously updated, and if you need a longer period or higher temporal-resolution (e.g., daily, monthly) data, please contact me.</strong>
description: Email: weijing_rs@163.com; weijing.rs@gmail.com.
description: {"references": ["Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136"]}
DOI: 10.5281/zenodo.4641551
title: ChinaHighPM10: Big Data Full-coverage Ground-level PM10 L3 Yearly 0.1 Deg Product

description: ChinaHighPM<sub>10</sub> is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. This is the Big Data Level 3 (L3) yearly 0.1 degree (≈ 10 km) gridded <strong>full-coverage</strong> ground-level ground-level PM<sub>10</sub> products in Eastern China (ECHAP_PM10_Y10K) from 2013 to 2020, which are averaged from the Level 2 daily products. This dataset has high accuracy with a cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.86 and a root-mean-square error (RMSE) of 24.34 µg m<sup>-3</sup> on a daily basis. If you use the ChinaHighPM<sub>10</sub> dataset for related scientific research, please cite the corresponding reference (Wei et al., RSE, 2021). <strong>Note that this dataset is continuously updated, and if you need a longer period or higher temporal-resolution (e.g., daily, monthly) data, please contact me.</strong>
description: Email: weijing_rs@163.com; weijing.rs@gmail.com.
description: {"references": ["Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136"]}
DOI: 10.15468/abfqcu
title: A revision of the New Zealand species of the genus Sagola Sharp (Coleoptera: Staphylinidae: Pselaphinae: Faronitae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Park, J. - S., Carlton, C. E. (2014): A revision of the New Zealand species of the genus Sagola Sharp (Coleoptera: Staphylinidae: Pselaphinae: Faronitae). The Coleopterists Bulletin (mo 13) 68: 1-156, DOI: 10.1649/072.068.0mo4.1
DOI: 10.5517/ccdc.csd.cc28jfdn
title: CCDC 2101161: Experimental Crystal Structure Determination

description: Related Article: dd ningninglv|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28gb03
title: CCDC 2099134: Experimental Crystal Structure Determination

description: Related Article: Sudip Kumar Bera, Goutam Kumar Lahiri|2021|Dalton Trans.|50|17653|doi:10.1039/D1DT03076K
DOI: 10.5517/ccdc.csd.cc28jqcx
title: CCDC 2101439: Experimental Crystal Structure Determination

description: Related Article: Xiao-yang Zhao|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28jzqj
title: CCDC 2101698: Experimental Crystal Structure Determination

description: Related Article: Zhenli Yang|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28k3pn
title: CCDC 2101821: Experimental Crystal Structure Determination

description: Related Article: Hui Xu|2021|CSD Communication|||
description: Related Article: Zhe Li, Chunbo Duan, Ying Li, Jing Zhang, Chunmiao Han, Hui Xu|2021|J.Mater.Chem.C|9|15221|doi:10.1039/D1TC03779J
DOI: 10.5517/ccdc.csd.cc28k3qp
title: CCDC 2101822: Experimental Crystal Structure Determination

description: Related Article: Hui Xu|2021|CSD Communication|||
description: Related Article: Zhe Li, Chunbo Duan, Ying Li, Jing Zhang, Chunmiao Han, Hui Xu|2021|J.Mater.Chem.C|9|15221|doi:10.1039/D1TC03779J
DOI: 10.5517/ccdc.csd.cc28k9dk
title: CCDC 2101998: Experimental Crystal Structure Determination

description: Related Article: Kai Kikuchi, Christopher S.P. McErlean, William Lewis|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kg1c
title: CCDC 2102142: Experimental Crystal Structure Determination

description: Related Article: Ekaterina E. Khramtsova, Maksim V. Dmitriev, Andrey N. Maslivets|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28kq1m
title: CCDC 2102390: Experimental Crystal Structure Determination

description: Related Article: jingcan qin|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc28l4yz
title: CCDC 2102821: Experimental Crystal Structure Determination

description: Related Article: Shengguo Duan, Cong Chen, Yidian Chen, Yuchen Jie, Huan Luo, Ze-Feng Xu, Bin Cheng, Chuan-Ying Li|2021|Org.Chem.Front.|8|6962|doi:10.1039/D1QO01237A
DOI: 10.5517/ccdc.csd.cc28l4z0
title: CCDC 2102822: Experimental Crystal Structure Determination

description: Related Article: Shengguo Duan, Cong Chen, Yidian Chen, Yuchen Jie, Huan Luo, Ze-Feng Xu, Bin Cheng, Chuan-Ying Li|2021|Org.Chem.Front.|8|6962|doi:10.1039/D1QO01237A
DOI: 10.6084/m9.figshare.17138828
title: The simple nephrectomy is not always simple: predictors of surgical difficulties

description: Predictive factors preoperatively, especially inflammation markers and radiologic findings, which can pose challenges to surgery in simple nephrectomy.
DOI: 10.6084/m9.figshare.17138828.v1
title: The simple nephrectomy is not always simple: predictors of surgical difficulties

description: Predictive factors preoperatively, especially inflammation markers and radiologic findings, which can pose challenges to surgery in simple nephrectomy.
DOI: 10.5519/qd.6l4eeqpr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (15 records)
DOI: 10.5281/zenodo.5765589
title: 10X Genomics Human Visium Spatial Transcriptomics Demo Dataset for Cellxgene VIP

description: 4 Visium Spatial Transcriptomics datasets downloaded 10X Genomics data site ,and organized in the way to be used for Cellxgene VIP input. 10X_demo_data_Breast_Cancer_Block_A_Section_1<br> 10X_demo_data_Breast_Cancer_Block_A_Section_2<br> 10X_demo_data_Human_Heart<br> 10X_demo_data_Human_Lymph_Node<br>
DOI: 10.5281/zenodo.5524882
title: 10X Genomics Human Visium Spatial Transcriptomics Demo Dataset for Cellxgene VIP

description: 4 Visium Spatial Transcriptomics datasets downloaded 10X Genomics data site ,and organized in the way to be used for Cellxgene VIP input. 10X_demo_data_Breast_Cancer_Block_A_Section_1<br> 10X_demo_data_Breast_Cancer_Block_A_Section_2<br> 10X_demo_data_Human_Heart<br> 10X_demo_data_Human_Lymph_Node<br>
DOI: 10.5281/zenodo.5765191
title: Dataset of the HVSRP using the RSVM valley of Mexico

description: HVSRP dataset For encoding the data see: https://github.com/rortegaru/perdominantes Data are 25 files, one for each station. Each file is a compressed file with one hour data of horizontal and vertical spectral information serialized in a pickle file. Note that only if the hour is complete, then the file is created. Data set consists of 9.5 GBytes.
DOI: 10.5281/zenodo.5765190
title: Dataset of the HVSRP using the RSVM valley of Mexico

description: HVSRP dataset For encoding the data see: https://github.com/rortegaru/perdominantes Data are 25 files, one for each station. Each file is a compressed file with one hour data of horizontal and vertical spectral information serialized in a pickle file. Note that only if the hour is complete, then the file is created. Data set consists of 9.5 GBytes.
DOI: 10.5519/qd.5r6osy0f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17894/ucph.abb1726e-3e99-434d-92f9-2e112ee4c778
title: Fast cheap and turbulent - data and analysis
DOI: 10.6084/m9.figshare.3761562.v2066
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.5207518
title: Polysaccharide utilization loci in Bacteroides determine population fitness and community-level interactions

description: Polysaccharide utilization loci (PULs) in the human gut microbiome have critical roles in shaping human health and ecological dynamics. We develop a CRISPR-FnCpf1-RecT genome-editing tool to study 23 PULs in the highly abundant species <em>B. uniformis</em> (BU). We identify the glycan-degrading functions of multiple PULs and elucidate transcriptional coordination between PULs that enables the population to adapt to the loss of PULs. Exploiting a pooled BU mutant barcoding strategy, we demonstrate that the <em>in vitro</em> fitness and the colonization ability of BU in the murine gut is enhanced by deletion of specific PULs and modulated by glycan availability. We show that BU PULs can mediate complex glycan-dependent interactions with butyrate producers that depend on the mechanism of degradation and the butyrate producer glycan utilizing ability. In sum, PULs are major determinants of community dynamics and butyrate production and can provide a selective advantage or disadvantage depending on the nutritional landscape.
DOI: 10.5281/zenodo.5207517
title: Polysaccharide utilization loci in Bacteroides determine population fitness and community-level interactions

description: Polysaccharide utilization loci (PULs) in the human gut microbiome have critical roles in shaping human health and ecological dynamics. We develop a CRISPR-FnCpf1-RecT genome-editing tool to study 23 PULs in the highly abundant species <em>B. uniformis</em> (BU). We identify the glycan-degrading functions of multiple PULs and elucidate transcriptional coordination between PULs that enables the population to adapt to the loss of PULs. Exploiting a pooled BU mutant barcoding strategy, we demonstrate that the <em>in vitro</em> fitness and the colonization ability of BU in the murine gut is enhanced by deletion of specific PULs and modulated by glycan availability. We show that BU PULs can mediate complex glycan-dependent interactions with butyrate producers that depend on the mechanism of degradation and the butyrate producer glycan utilizing ability. In sum, PULs are major determinants of community dynamics and butyrate production and can provide a selective advantage or disadvantage depending on the nutritional landscape.
DOI: 10.3886/e156501v1
title: Comparing the Growth and Predictive Performance of a Traditional Oral Reading Fluency Measure to an Experimental Novel Measure

description: Curriculum-based measurement of oral reading fluency (CBM-R) is used as an indicator of reading proficiency, and to measure at risk students’ response to reading interventions to help ensure effective instruction. The purpose of this study was to compare model-based WCPM scores (CORE) to Traditional CBM-R WCPM scores to determine which provides more reliable growth estimates and demonstrates better predictive performance of reading comprehension and state reading test scores. Results indicated that in general, CORE had better (a) within-growth properties (smaller SDs of slope estimates and higher reliability), and (b) predictive performance (lower RMSE, and higher R-squared, sensitivity, specificity, and AUC values). These results suggest increased measurement precision for the model-based CORE scores compared to Traditional CBM-R, providing preliminary evidence that CORE can be used for consequential assessment.<br>
DOI: 10.6084/m9.figshare.17139080
title: 2020 03 02 Independent Validation by a Third Party

description: Field notes including image data provided by a third party providing independent validation of selected observables with long persistence.
DOI: 10.6084/m9.figshare.17139080.v1
title: 2020 03 02 Independent Validation by a Third Party

description: Field notes including image data provided by a third party providing independent validation of selected observables with long persistence.
DOI: 10.5519/qd.wmcou59e
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (163 records)
DOI: 10.5517/ccdc.csd.cc28lqn8
title: CCDC 2103370: Experimental Crystal Structure Determination

description: Related Article: Jianfeng Wu, Serhiy Demeshko, Sebastian Dechert, Franc Meyer|2021|Dalton Trans.|50|17573|doi:10.1039/D1DT02815D