cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23928468.v4
title: minus_assembly_dataset

description: Contains seven items:<i>V. vitis-idaea</i> ssp. <i>minus</i> <i>de novo</i> assembly in fasta format.<i>V. vitis-idaea</i> ssp. <i>minus</i> scaffolded assembly by mapping to the bilberry genome in agp format based on contig names in the <i>de novo</i> assembled genome (<i>V. myrtillus</i>; Wu et al. 2021).<i>V. vitis-idaea</i> ssp. <i>minus</i> scaffolded assembly by mapping to the bilberry genome in fasta format (<i>V. myrtillus</i>; Wu et al. 2021).Annotation of genes/mRNAs associated with the scaffolded genome in .gff3 format.Protein sequences from gene annotation in amino acid fasta or faa format.Coding sequences in nucleotide fasta format.Annotation of transposable elements associated with the scaffolded genome in gff3 format.Raw sequences generated in this study are found in NCBI under PRJNA998787: Oxford Nanopore (SRR25468432-SRR25468441), Illumina NovaSeq (SRR25477289)The contig-level assembly fasta can also be found in NCBI: JAUYVF000000000Reference: Wu,C., Deng,C., Hilario,E., Albert,N., Lafferty,D., Plunkett,B., Elborough,C., Saei,A., Jaakola,L., Karppinen,K., Grande,A., Kylli,R., Allan,A., Espley,R. and Chagne,D. 2021. A chromosome-scale assembly of the bilberry genome identifies a complex locus controlling berry anthocyanin composition. Molecular Ecology Resources, DOI 10.1111/1755-0998.13467
DOI: 10.34740/kaggle/dsv/6741758
title: Hypersonic technoloy with deep learnings
DOI: 10.5517/ccdc.csd.cc2dn81d
title: CCDC 2224003: Experimental Crystal Structure Determination

description: Related Article: Ashlie N. Walker, Megan A. Ayala, Somrita Mondal, Mackenzie C. Bergagnini, Phuong John D. Bui, Stephanie N. Chidester, Chad I. Doeden, Louise Esjornson, Brian R. Sweany, Leslie Garcia, Jeanette A. Krause, Allen G. Oliver, Timothy J. Prior, Timothy J. Hubin|2023|Molecules|28|895|doi:10.3390/molecules28020895
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.cc2dn83g
title: CCDC 2224005: Experimental Crystal Structure Determination

description: Related Article: Ashlie N. Walker, Megan A. Ayala, Somrita Mondal, Mackenzie C. Bergagnini, Phuong John D. Bui, Stephanie N. Chidester, Chad I. Doeden, Louise Esjornson, Brian R. Sweany, Leslie Garcia, Jeanette A. Krause, Allen G. Oliver, Timothy J. Prior, Timothy J. Hubin|2023|Molecules|28|895|doi:10.3390/molecules28020895
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.cc2dn84h
title: CCDC 2224006: Experimental Crystal Structure Determination

description: Related Article: Ashlie N. Walker, Megan A. Ayala, Somrita Mondal, Mackenzie C. Bergagnini, Phuong John D. Bui, Stephanie N. Chidester, Chad I. Doeden, Louise Esjornson, Brian R. Sweany, Leslie Garcia, Jeanette A. Krause, Allen G. Oliver, Timothy J. Prior, Timothy J. Hubin|2023|Molecules|28|895|doi:10.3390/molecules28020895
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.cc2dn85j
title: CCDC 2224007: Experimental Crystal Structure Determination

description: Related Article: Ashlie N. Walker, Megan A. Ayala, Somrita Mondal, Mackenzie C. Bergagnini, Phuong John D. Bui, Stephanie N. Chidester, Chad I. Doeden, Louise Esjornson, Brian R. Sweany, Leslie Garcia, Jeanette A. Krause, Allen G. Oliver, Timothy J. Prior, Timothy J. Hubin|2023|Molecules|28|895|doi:10.3390/molecules28020895
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.cc2f7kpy
title: CCDC 2241600: Experimental Crystal Structure Determination

description: Related Article: Rasma Kroņkalne, Ru̅dolfs Beļaunieks, Artjoms Ubaidullajevs, Anatoly Mishnev, Ma̅ris Turks|2023|J.Org.Chem.|88|13857|doi:10.1021/acs.joc.3c01481
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.cc2f8zqf
title: CCDC 2242965: Experimental Crystal Structure Determination

description: Related Article: Yue Lu, Fangfang Zhu, Xinyu Liu, De Wang|2023|Org.Chem.Front.|10|5076|doi:10.1039/D3QO01047C
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.cc2fhb7j
title: CCDC 2249057: Experimental Crystal Structure Determination

description: Related Article: Jake W. Wilson, Bo Su, Makoto Yoritate, Jake X. Shi, John F. Hartwig|2023|J.Am.Chem.Soc.|145|19490|doi:10.1021/jacs.3c03127
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.cc2fhnsd
title: CCDC 2249384: Experimental Crystal Structure Determination

description: Related Article: Qiongwen Kang, Mengdan Wang, Zongkang Wang, Lu Cheng, Yilin Zhu, Chengyu Wang, Yanzhong Li|2023|Org.Chem.Front.|10|5205|doi:10.1039/D3QO00818E
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.cc2flntj
title: CCDC 2252268: Experimental Crystal Structure Determination

description: Related Article: Yongliang Zhang, Changsheng Chen, Yongtao Gao, Min Yang, Zehuan He, Bangzhi Zhang, Guofeng Gu, Bencan Tang, Feng Cai|2023|Org.Lett.|25|7120|doi:10.1021/acs.orglett.3c02566
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.cc2flnvk
title: CCDC 2252269: Experimental Crystal Structure Determination

description: Related Article: Yongliang Zhang, Changsheng Chen, Yongtao Gao, Min Yang, Zehuan He, Bangzhi Zhang, Guofeng Gu, Bencan Tang, Feng Cai|2023|Org.Lett.|25|7120|doi:10.1021/acs.orglett.3c02566
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.cc2g3mmv
title: CCDC 2267607: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Yin, Yun-Peng Wang, Jun Xue, Feng-Fan Zhou, Xing-Qian Shan, Rong Zhu, Kun Fang, Lei Shi, Shu-Yu Zhang, Si-Hua Hou, Wujiong Xia, Yong-Qiang Tu|2023|J.Am.Chem.Soc.|145|21170|doi:10.1021/jacs.3c07044
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.cc2g3mnw
title: CCDC 2267608: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Yin, Yun-Peng Wang, Jun Xue, Feng-Fan Zhou, Xing-Qian Shan, Rong Zhu, Kun Fang, Lei Shi, Shu-Yu Zhang, Si-Hua Hou, Wujiong Xia, Yong-Qiang Tu|2023|J.Am.Chem.Soc.|145|21170|doi:10.1021/jacs.3c07044
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.cc2g3mpx
title: CCDC 2267609: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Yin, Yun-Peng Wang, Jun Xue, Feng-Fan Zhou, Xing-Qian Shan, Rong Zhu, Kun Fang, Lei Shi, Shu-Yu Zhang, Si-Hua Hou, Wujiong Xia, Yong-Qiang Tu|2023|J.Am.Chem.Soc.|145|21170|doi:10.1021/jacs.3c07044
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.cc2g3mrz
title: CCDC 2267611: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Yin, Yun-Peng Wang, Jun Xue, Feng-Fan Zhou, Xing-Qian Shan, Rong Zhu, Kun Fang, Lei Shi, Shu-Yu Zhang, Si-Hua Hou, Wujiong Xia, Yong-Qiang Tu|2023|J.Am.Chem.Soc.|145|21170|doi:10.1021/jacs.3c07044
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.cc2g3mt1
title: CCDC 2267613: Experimental Crystal Structure Determination

description: Related Article: Jun-Jie Yin, Yun-Peng Wang, Jun Xue, Feng-Fan Zhou, Xing-Qian Shan, Rong Zhu, Kun Fang, Lei Shi, Shu-Yu Zhang, Si-Hua Hou, Wujiong Xia, Yong-Qiang Tu|2023|J.Am.Chem.Soc.|145|21170|doi:10.1021/jacs.3c07044
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.cc2g54vn
title: CCDC 2269071: Experimental Crystal Structure Determination

description: Related Article: J.Wagler, R.Gericke|2023|Molecules|28|5442|doi:10.3390/molecules28145442
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.cc2g54wp
title: CCDC 2269072: Experimental Crystal Structure Determination

description: Related Article: J.Wagler, R.Gericke|2023|Molecules|28|5442|doi:10.3390/molecules28145442
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: 10.5066/p95dtd4o
title: Community Exposure in U.S. California to Future Shoreline Change Hazards, reference year 2020

description: Socioeconomic impact estimates of community exposure to shoreline change hazards are presented for communities along the coast of California, U.S. The provided data were generated using the Hazard Exposure Reporting and Analytics (HERA) web application (www.usgs.gov/apps/hera/). HERA uses geospatial analysis of socioeconomic indicators (population, economic, land cover, and infrastructure) in combination with shoreline change hazard zones developed by the USGS Pacific Coastal and Marine Science Center to quantify populations and assets at risk under present and future scenarios of sea level rise and storm conditions. The type of information includes U.S. Census data on the number and types of residents, InfoGroup data on numbers and types of employees, county parcel values, NLCD land cover estimates, and infrastructure data on roads, rail, and critical facilities from a variety of sources.
DOI: 10.5066/p9ukxktd
title: Detections, Physical Captures, Water Quality, and Fish Health Data Related to Suckers Held in Four Net Pens in Upper Klamath Lake, 2019

description: To determine how a low cost oxygenation system affected survival of captively reared juvenile suckers, we introduced Passive Integrated Transponder (PIT) tagged juvenile suckers into three net pens in Upper Klamath Lake. The suckers originated from the U.S. Fish and Wildlife Service's Sucker Assisted Rearing Program in Klamath Falls, Oregon which rears suckers collected as larvae in Upper Klamath Lake including Lost River sucker (Deltistes luxatus), shortnose sucker (Chasmistes brevirostris), and Klamath largescale sucker (Catostomus synderi). Suckers were monitored continuously by PIT antennas. These data contain all remote detections from the PIT antennas, all physical captures, and the water quality data associated with each net pen.
DOI: 10.34740/kaggle/ds/2728224
title: NeuroEye Pupil Center Dataset
DOI: 10.25345/c5pz51x56
title: MassIVE MSV000093154 - Electrostatic encoding of genome organization principles within single native nucleosomes
title: The eukaryotic genome, first packed into nucleosomes of about 150 bp around the histone core, is organized into euchromatin and heterochromatin, corresponding to the A and B compartments, respectively. Here, we asked if individual nucleosomes in vivo know where to go. That is, do mono-nucleosomes by themselves contain A/B compartment information, associated with transcription activity, in their biophysical properties? We purified native mono-nucleosomes to high monodispersity and used physiological concentrations of biological polyamines to determine their condensability. The chromosomal regions known to partition into A compartments have low condensability and vice versa. In-silico chromatin polymer simulations using condensability as the only input showed that biophysical information needed to form compartments is all contained in single native nucleosomes and no other factors are needed. Condensability is also strongly anticorrelated with gene expression, and especially so near the promoter region and in a cell type dependent manner. Therefore, individual nucleosomes in the promoter somehow know whether the gene is on or off, and that information is contained in their biophysical properties. Polyamine depletion in mouse T cells, by either knocking out ornithine decarboxylase (ODC) or inhibiting ODC, results in hyperpolarized condensability, suggesting that when cells cannot rely on polyamines to translate biophysical properties of nucleosomes to control gene expression and 3D genome organization, they accentuate condensability contrast which may cause dysfunction. Comparison with genetic and epigenetic features suggest that nucleosome condensability is a very meaningful axis onto which to project the high dimensional cellular chromatin state. Analysis of condensability using various condensing agents including those that are protein-based, suggests that genome organization principle encoded into individual nucleosomes is electrostatic in nature.
DOI: 10.7936/6rxs-103645
title: Graph Neural Network High-Level Synthesis Benchmark Suite V1

description: With the ever-growing popularity of Graph Neural Networks (GNNs), efficient GNN inference is gaining tremendous attention. Field-Programmable Gate Arrays (FPGAs) are a promising execution platform due to their fine-grained parallelism, low power consumption, reconfigurability, and concurrent execution. Even better, High-Level Synthesis (HLS) tools help bridge the gap between the non-trivial FPGA development efforts and rapid emergence of new GNN models. To enable investigation into how effectively modern HLS tools can accelerate GNN inference, we present GNNHLS, a benchmark suite containing a software stack for data generation and baseline deployment and FPGA implementations of 6 well-tuned GNN HLS kernels.
DOI: 10.5281/zenodo.7557020
title: Data from paper analysing the Quota Law in Federal Universities of Brazil in SISU 2021
title: Dados de artigo analisando a Lei de Cotas em Universidades Federais do Brasil no SISU 2021

description: Portuguese: Material Suplementar de artigo analisando cotistas preenchendo vagas de ampla concorrência em universidades federais: a respeito da concorrência concomitante no SISU 2021-1, relacionada à Lei de Cotas e ações afirmativas no Brasil.
English: Supplementary Material for paper about affirmative actions and Quota Law in Brazil in SISU 2021.
DOI: 10.5281/zenodo.7557021
title: Data from paper analysing the Quota Law in Federal Universities of Brazil in SISU 2021
title: Dados de artigo analisando a Lei de Cotas em Universidades Federais do Brasil no SISU 2021

description: Portuguese: Material Suplementar de artigo analisando cotistas preenchendo vagas de ampla concorrência em universidades federais: a respeito da concorrência concomitante no SISU 2021-1, relacionada à Lei de Cotas e ações afirmativas no Brasil.
English: Supplementary Material for paper about affirmative actions and Quota Law in Brazil in SISU 2021.
DOI: 10.5281/zenodo.10020004
title: Records of myxomycetes in the eastern and western parts of the United States

description: This file contains the clean list of myxomycete records found by the authors after an exhaustive record review and that was used in the following two articles : Stephenson SL, Stauffacher RW, Rojas C. 2020. Myxomycetes collected in the eastern United States and patterns of relative biodiversity (published in the journal Mycology) and Stephenson SL, Stauffacher RW, Rojas C. 2023. Myxomycetes collected in the western United States and patterns of relative biodiversity (published in the journal Karstenia).
DOI: 10.5281/zenodo.10020005
title: Records of myxomycetes in the eastern and western parts of the United States

description: This file contains the clean list of myxomycete records found by the authors after an exhaustive record review and that was used in the following two articles : Stephenson SL, Stauffacher RW, Rojas C. 2020. Myxomycetes collected in the eastern United States and patterns of relative biodiversity (published in the journal Mycology) and Stephenson SL, Stauffacher RW, Rojas C. 2023. Myxomycetes collected in the western United States and patterns of relative biodiversity (published in the journal Karstenia).
DOI: 10.6084/m9.figshare.21090787
title: Supplemental Small Group Early Literacy Intervention data.csv

description: Phonological awareness and alphabet knowledge are fundamental building blocks for literacy development. We identified preschoolers in voluntary prekindergarten (VPK) classrooms housed in private child care centers and public schools with persistent delays in these skills and evaluated the efficacy of a supplemental phonological awareness and alphabet knowledge curriculum to remediate deficits in early literacy skills. For each participant, pre and posttest data are presented for these early literacy skills including phoneme segmentation, phoneme blending, first sound identification, letter names, letter sounds, and first sound fluency.
DOI: 10.5063/f1h70d82
title: Data for Long-term memory of experienced jays facilitates problem-solving by naïve group members in the wild

description: Long-term memory affects animal fitness, especially in social species. In these species, the memory of group members facilitates the acquisition of novel foraging skills through social learning when naïve individuals observe and imitate the successful foraging behavior. Long-term memory and social learning also provide the framework for cultural behavior, a trait found in humans but very few other animal species. In birds, little is known about the duration of long-term memories for complex foraging skills, or the impact of long-term memory on group members. We tested whether wild jays remembered a complex foraging task more than 3 years after their initial experience and quantified the effect of this memory on naïve jay behavior. Experienced jays remembered how to solve the task and their behavior had significant positive effects on interactions by naïve group members at the task. This suggests that natural selection may favor long-term memory of solutions to foraging problems to facilitate the persistence of foraging skills that are specifically useful in the local environment in social birds with long lifespans and overlapping generations.
DOI: 10.5281/zenodo.10022634
title: TCGA combined mutation calls files
DOI: 10.5281/zenodo.10022633
title: TCGA combined mutation calls files
DOI: 10.5281/zenodo.8404102
title: Bayesian Surprise Predicts Human Event Segmentation in Story Listening

description: This repository contains data and code for the paper: https://psyarxiv.com/qd2ra/
The embeddings and outputs from GPT-2 are in the extract-embeddings-data.zip file.
The button press data is in the button-press-proportions.zip file. Button press measures computed using kernel density estimates are stored in files with the suffix "density".
The derived measures of disfluency are in the disfluency_measures.zip file. In this folder the files {story_name}_processed.csv contain the disfluency measures for each story.
The results from the analysis are in the results.zip and supplementary_results_kernel_density.zip files.
The code is available at https://github.com/manojneuro/bayesiansurprise