cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23600310.v1
title: Repurposing Public 23Q2

description: This data release contains the most recent PRISM Repurposing screens: Repurposing-1M. All Repurposing-1M [REP1M] compounds (1280 REP1M) were screened in the PRISM assay at a dose of 2.5 μM with a 5-day treatment against 906 cancer cell lines (859 of them passed quality checks -QC- for all tested compound with two high quality replicates). Two PRISM cell line collections were used in the assay: PR500A, which includes only adherent cell lines, and PR500B, which has adherent and suspension cell lines. Together, these PRISM cell line collections form the PR1000 cell line collection. All compounds were run in triplicate, and each plate contained positive (Bortezomib, 20μM) and negative (DMSO) controls. The screen can be considered an extension of the PRISM Repurposing Primary Screen, with PR500A mainly covering the existing cell line panel, while PR500B extends the cell line collection with new subtypes and lineages. For the assay details, please refer to Corsello et al., 2020 (doi.org/10.1038/s43018-019-0018-6) and https://www.theprismlab.org.
DOI: 10.5281/zenodo.8096910
title: macoma_nasuta_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8096909
title: macoma_nasuta_spades_01.fasta.gz

description: .
DOI: 10.17632/h46ptnxsyh.1
title: Archean and Paleoproterozoic marine oxygen estimated from I/(Ca+Mg) in shallow water Ca-carbonate sediments

description: Marine oxygenation during the Archean and Paleoproterozoic is poorly constrained. Iodine in carbonate is a possible oxygen indicator. We obtained molar ratios of iodine to calcium-magnesium (I/(Ca+Mg)) for 2.93–2.31 Ga from shallow marine Ca-carbonate (limestone, dolostone) platform sediments of the southern Superior Province in Canada and the USA. Maximum I/(Ca+Mg) values obtained are 0.13, 0.26, 0.05 and 0.22 μmol/mol, for 2.93, 2.86, 2.80 and 2.31 Ga samples, respectively. These include the first reports of positive I/(Ca+Mg) values from Archean sediments. Conservative estimates based on these values suggest maximum dissolved O2 levels of ~23, 40, 11 and 23 µM at 2.93, 2.86, 2.80 and 2.31 Ga, respectively. These data extend current estimates of marine O2 back in time by ~900 million years. They support the idea that during the Archean Ca-carbonate was precipitated in localized shallow marine ‘oxygen oases’ adjacent to anoxic iron-rich seas. Application of an equilibrium approach to published I/(Ca+Mg) data for the mid-Proterozoic (~1.57 Ga) would predict transient shallow water dissolved O2 levels up to 174 µM assuming pH 7.9, sufficient to support animal life.
DOI: 10.17632/rb8bd4jrn6.1
title: Original data of "DNA demethylation of promoter region orchestrates SPI-1-induced ADAMTS-5 expression in articular cartilage of osteoarthritis mice"

description: Original data of "DNA demethylation of promoter region orchestrates SPI-1-induced ADAMTS-5 expression in articular cartilage of osteoarthritis mice"
DOI: 10.17632/cjdzvnp9px.1
title: Data from: "Contrasting Responses of Two Grapevine Cultivars to Drought: The Role of Non-Structural Carbohydrates in Xylem Hydraulic Recovery"

description: This dataset contains data from the manuscript Vuerich et al. 2023 “Contrasting Responses of Two Grapevine Cultivars to Drought: The Role of Non-Structural Carbohydrates in Xylem Hydraulic Recovery"
DOI: 10.17632/z8vx2w7m3c.1
title: LINF_270007800

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4mhjk63xz6.1
title: Dataset for role of environmental consciousness on intention to adopt sustainable agriculture

description: This dataset accompanies the research paper titled "Understanding Farmers' Intention to Adopt Sustainable Agriculture: The Role of Environmental Consciousness and Attitude." The study aims to explore the factors influencing farmers' intention to adopt sustainable agricultural practices, with a specific focus on the role of environmental consciousness and attitude.

The dataset contains a comprehensive collection of survey responses from farmers regarding their environmental consciousness, attitudes towards sustainable agriculture, and their intention to adopt sustainable agricultural practices. The survey was conducted among a diverse sample of farmers from different regions and agricultural backgrounds.

The variables included in the dataset cover a range of factors, such as demographic information, environmental awareness, attitudes towards sustainability, perceived benefits and barriers, and intention to adopt sustainable agriculture. The data was collected using validated scales and carefully designed survey questions to ensure reliability and validity.

Researchers interested in examining the relationship between environmental consciousness, attitude, and intention to adopt sustainable agriculture will find this dataset valuable. It provides a rich resource for analyzing the factors that influence farmers' decision-making processes related to sustainable agricultural practices.

Please note that the dataset is anonymized to ensure the privacy and confidentiality of the survey respondents. Researchers are requested to comply with ethical considerations and appropriately cite the original paper when using this dataset for further analysis or reference.

Access to the dataset can be obtained by contacting the corresponding author of the research paper, whose contact details are provided in the paper itself.
DOI: 10.17632/75c8p9kkfd.1
title: DPU-ALDOSKI

description: Distributed Far Distances Energy Consumed System Based on Internet of Things
DOI: 10.17632/j36zgxnc5p.1
title: Instances of "Humanitarian relief distribution with trucks and drones under travel time uncertainty"

description: This data set concerns the experimental instances of the paper "Humanitarian relief distribution with trucks and drones under travel time uncertainty".

We adapt the R101, C101, and RC101 instances of Solomon (1987), which are used to benchmark vehicle routing problems with time windows, with locations randomly scattered over the area (R), clustered in groups of locations (C), and locations both clustered in groups as well as randomly distributed over the area (RC). Besides the Solomon inspired cases, we evaluate two historical disaster cases, namely the 2015 earthquake in Nepal and 2018 tsunami in Indonesia.  The level of uncertainty within an area can differ, e.g., parts close to the path of a hurricane or near the epicenters of earthquake aftershocks are likely to exhibit larger variance in travel time. We created risk matrices for all node pairs.

The real-world cases we consider the disaster areas after the 2015 earthquake in Nepal and the 2018 tsunami in Indonesia. In 2015, a 7.8M earthquake caused major disruption in Nepal. Eleven districts near the capital city Kathmandu were affected the most, where the mountainous surroundings posed challenges to the road transport. We focus on two districts that were significantly disrupted: Nuwakot and Dhading. Based on data collected from a field trip in August 2021 (carried out as part of our research) along multiple municipalities in the affected districts, we composed a set of 84 demand nodes and a depot located in Dhading Besi, the district headquarter of the Dhading district. We marked risk levels for all node pairs, with high risks close to the epicenter, and medium risk nodes up in the mountains. In 2018, an 7.5M undersea earthquake and a tsunami that followed resulted in a massive disruption of the city Palu and surrounding areas around the Palu Bay on the Indonesian island Sulawesi. Data from a displacement tracking matrix (International Organization for Migration 2019) with locally collected data from 2018 allows us to extract a set of 343 demand nodes and a depot at the Palu Airport. We marked the risk levels along the coast line and medium risk levels in areas that experienced soil liquefaction.

For our experiments, we consider two fleet configurations. One fleet with only trucks, and one fleet where 50% of the trucks are replaced by drones. For the instances with 26 nodes, we deploy two vehicles, with the 101 node instances eight vehicles, with the Nepal case six vehicles, and with the Indonesia case 16 vehicles considering the large number of nodes. We assume that a truck has a capacity of 10 units. Considering demands between one and five, a truck can visit at least two and at most 10 nodes. The specifications of the drone are inspired by the MiniFreighter from Wings For Aid. For the experiments, we assume that drones carry one unit of demand, and travel with a constant speed of 120 km/h following Euclidean distances, as their flights are not disrupted by damaged infrastructure.
DOI: 10.5517/ccdc.csd.cc29xxdk
title: CCDC 2142949: Experimental Crystal Structure Determination

description: Related Article: Okan Zafer Yeşilel, Umut Güler, Esengül Çiftçi, Mürsel Arıcı|2022|J.Mol.Struct.|1262|132991|doi:10.1016/j.molstruc.2022.132991
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.cc2fgct3
title: CCDC 2248145: Experimental Crystal Structure Determination

description: Related Article: Jen-Chun Hsueh, Fu-En Szu, Yin-Yin Yu, Man-kit Leung|2023|Org.Biomol.Chem.|21|5297|doi:10.1039/D3OB00741C
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.cc2fgcv4
title: CCDC 2248146: Experimental Crystal Structure Determination

description: Related Article: Jen-Chun Hsueh, Fu-En Szu, Yin-Yin Yu, Man-kit Leung|2023|Org.Biomol.Chem.|21|5297|doi:10.1039/D3OB00741C
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.cc2fgcw5
title: CCDC 2248147: Experimental Crystal Structure Determination

description: Related Article: Jen-Chun Hsueh, Fu-En Szu, Yin-Yin Yu, Man-kit Leung|2023|Org.Biomol.Chem.|21|5297|doi:10.1039/D3OB00741C
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.cc2fgcx6
title: CCDC 2248148: Experimental Crystal Structure Determination

description: Related Article: Jen-Chun Hsueh, Fu-En Szu, Yin-Yin Yu, Man-kit Leung|2023|Org.Biomol.Chem.|21|5297|doi:10.1039/D3OB00741C
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: 10.25824/redu/xtgqn3
title: Estatística_Pedro Vasconcelos.xlsx

description: Planilha de dados
DOI: 10.5517/ccdc.csd.cc2g6d8c
title: CCDC 2270262: Experimental Crystal Structure Determination

description: Related Article: Ian. R. Butler, Simon J. Coles, Michael B. Hursthouse|1996|University of Southampton, Crystal Structure Report Archive||761|
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: 10.25824/redu/jzej4v
title: Aprovação_CEP.pdf

description: Aprovação do Comitê de Ética
DOI: 10.5517/ccdc.csd.cc2g6dgk
title: CCDC 2270268: Experimental Crystal Structure Determination

description: Related Article: John D. Hepworth, Chris D. Gabbutt, Dai E. Hibbs, Michael B. Hursthouse|1996|University of Southampton, Crystal Structure Report Archive||797|
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: 10.25824/redu/eazwb1
title: HSA-MIR-455-3P can be a predictive biomarker of anemia in patients with non-small cell lung cancer treated with carboplatin plus paclitaxel

description: Lung cancer is the leading cause of cancer-related morbidity and mortality worldwide. The treatment of lung cancer initially depends on the definition of the type of tumor and its staging. The most common treatment is chemotherapy and the first line of treatment is the combination of carboplatin and paclitaxel. The effectiveness of this treatment is low and presents a high prevalence of adverse reactions, especially hematological. Studies of new biomarkers, such as circulating miRNAs, related to these adverse reactions are very important to optimize the quality of life of patients. Thus, the aim of this work is to verify a relation between circulating miRNAs and hematologic adverse reactions caused by treatment with carboplatin and paclitaxel in lung cancer patients. This study was approved by the ethics committee no. 83196318.8.0000.5404. Blood was collected from patients before and 15 days after chemotherapy, for hematological adverse reactions analysis, for MicroArray and for qPCR validation. Adverse reactions were classified according to the Common Terminology Criteria for Adverse Events v4.0. The MicroArray was performed with plasma from 6 patients without and 6 patients with anemia. MiR-1273g-3p, miR-3613-5p and miR-455-3p, identified by MicroArray, were validated via qPCR using 20 patients without and 26 with anemia. Bioinformatics analyses of miR-455-3p were performed by miRwalk, DAVID and GeneMania. The MicroArray of patients with and without anemia verified 9 differently expressed plasma miRNAs among these patients. Of these miR-1273g-3p, miR-3613-5p and miR-455-3p were chosen for validation, just miR-455-3p showed a significant expression reduction (p=0.04) between the groups, before chemotherapy with carboplatin and paclitaxel. The bioinformatics analysis of miR-455-3p showed an important relationship of this miRNA with the hematopoiesis pathway, especially with action on the RUNX1 and TAL1 genes. The most prevalent adverse reactions in lung cancer patients treated with carboplatin and paclitaxel were hematological, especially anemia. This adverse reaction, caused by a dysfunction of the hematopoietic system, can be explained by a possible relation between important genes in this system, RUNX1 and TAL1, and hsa-miR-455-3p.
DOI: 10.5281/zenodo.7647746
title: Example Inputs for PIPEFISH Spatial Transcriptomics Pipeline Tool

description: This repository contains example input data, including raw images, codebooks, parameters, and segmentation labels needed to run the FISH spatial transcriptomics pipeline tool PIPEFISH. The datasets contained are: <em>in situ</em> sequencing (ISS) of a whole coronal slice of a mouse brain (50 genes). Link to publication. Gataric, M., Park, J.S., Li, T., Vaskivskyi, V., Svedlund, J., Strell, C., Roberts, K., Nilsson, M., Yates, L.R., Bayraktar, O. and Gerstung, M., 2021. PoSTcode: Probabilistic image-based spatial transcriptomics decoder. <em>bioRxiv</em>, pp.2021-10. MERFISH of human U2-OS cell cultures (130 genes). Link to publication. Moffitt, J.R., Hao, J., Wang, G., Chen, K.H., Babcock, H.P. and Zhuang, X., 2016. High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization. <em>Proceedings of the National Academy of Sciences</em>, <em>113</em>(39), pp.11046-11051. seqFISH of a developing mouse embryo (351 genes). Link to publication. Lohoff, T., Ghazanfar, S., Missarova, A., Koulena, N., Pierson, N., Griffiths, J.A., Bardot, E.S., Eng, C.H., Tyser, R.C.V., Argelaguet, R. and Guibentif, C., 2022. Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis. <em>Nature biotechnology</em>, <em>40</em>(1), pp.74-85. In order to correctly format the inputs, run the prep_input.py script for the dataset you wish to run while in the <strong>same</strong> <strong>directory</strong> as the script. Memory requirements for each dataset: iss_mouse_brain - 3GB merfish_human_u2os - 7GB seqfish_mouse_embryo - 37GB
DOI: 10.6084/m9.figshare.23601195
title: GoogleNews-vectors-negative300

description: GoogleNews-vectors-negative300
DOI: 10.3886/e176341v1
title: MPACT Fall 2017 - Fall 2018 Chicago

description: Almost none of the research showing that greater parent engagement increases children’s cognitive skill exogenously increases parent engagement. In a randomized experiment we find that providing parents with information and materials relevant to engaging in math activities along with text messages to reduce present bias increased both parents’ engagement in math activities and children’s math skill. But a separate treatement that provided families with an electronic tablet and math apps that required no parent engagmenet increased math skill by at least as much.
description: No weight is included in the analysis.
description: Response Rates: For all three rounds, parents were recruited in one of two ways. In the eleven centers that allowed it, all eligible parents were automatically enrolled in MPACT but were given a chance to opt out of participation. Eighteen preschools did not permit opt-out recruitment. In these centers, research assistants recruited parents in person by approaching them at drop-off and pick-up time to ask if they would be willing to participate. Participation rates were high at both opt-out (99%) and opt-in (71%) preschool centers.<br><br>Specifically, we initially recruited 1,459 children. Eleven children dropped out before randomization. Of the remaining 1,448 children, 93 were siblings of enrolled children. We dropped siblings, leaving only one child per parent. After randomization, 61 children dropped out. This included children in a preschool that closed after randomization, and children that left the preschool in which they were enrolled before we were able to collect any data on either parents or children. Ten children remained enrolled in the preschool but were chronically absent; we were not able to collect data on either parents or children. Another 6 children could not be assessed reliably because of either cognitive or behavioral problems. This left 1,278 children who were assessed at baseline.
description: Presence of Common Scales: Likert-type scales are used for the pre- and post-experiment parental survey. We use the Woodcock-Johnson IV Applied Problems subtest for the baseline and follow-up assessments.
description: We randomized in two stages. In the first stage, we randomly assigned classrooms across preschools to either a treated or untreated group. We assigned 15 classrooms (5 in each round) to the untreated group. All sample children in these classrooms were assigned to the control group. In the second stage, we randomly assigned students in the remaining sample classrooms to the control group or one of the treatment groups.
description: Chicago parents whose primary language was either English or Spanish, who had a child enrolled in one of 29 subsidized preschool programs in Chicago, who were between the ages of three and four years old enrolled in a participating preschool.
description: cognitive assessment test; web-based survey;
DOI: 10.25824/redu/qc0lxb
title: Banco de dados pesquisa IC_ conhecimento, autoeficácia e eficácia coletiva de profissionais da saúde e educação de Campinas .xlsx - Sheet1.pdf
DOI: 10.25824/redu/h23tr8
title: Dados de replicação para- banco de dados pesquisa IC: conhecimento, autoeficácia e eficácia coletiva de profissionais da saúde e educação de Campinas

description: Os dados depositados incluem respostas dos participantes dos questionários de conhecimento, autoeficácia e eficácia coletiva, bem como aspectos sociodemográficos, de profissionais da saúde e da educação do município de Campinas.
DOI: 10.5281/zenodo.7914773
title: CLDF dataset derived from Greenhill et al.'s "Austronesian Basic Vocabulary Database" from 2022 focusing on Oceanic languages

description: Cite the source of the dataset as: Greenhill, S.J., Blust. R, & Gray, R.D. (2008). The Austronesian Basic Vocabulary Database: From Bioinformatics to Lexomics. Evolutionary Bioinformatics, 4:271-283.
DOI: 10.5281/zenodo.7914774
title: CLDF dataset derived from Greenhill et al.'s "Austronesian Basic Vocabulary Database" from 2022 focusing on Oceanic languages

description: Cite the source of the dataset as: Greenhill, S.J., Blust. R, & Gray, R.D. (2008). The Austronesian Basic Vocabulary Database: From Bioinformatics to Lexomics. Evolutionary Bioinformatics, 4:271-283.
DOI: 10.5281/zenodo.4569557
title: High-quality atmospheric pollution dataset of China (2000-2020)

description: 1. We have estimated daily 1-km PM<sub>2.5</sub> data from 2000 to 2018 in China through an adaptive spatiotemporal modeling framework using satellite data and ground-level monitoring measurements. The data are released here and free for non-commercial use. If you want to use our dataset, please go version_1km_2021 (10.5281/zenodo.5040833). 2. We have estimated daily 3-km PM<sub>2.5</sub> concentration from 2013 to 2017 in China using a spatiotemporal modeling. The data are free for non-commercial use. If you want to use the dataset, please go to version_3km (10.5281/zenodo.4588528) If you want to collaborate with us or want more data (e.g., monthly or daily estimates, estimates in 2019 and 2020), please contact us via qqhe@whut.edu.cn.
DOI: 10.5281/zenodo.5040833
title: High-quality Daily 1-km PM2.5 dataset for China (2000-2020)

description: We have estimated daily 1-km PM2.5 data from 2000 to 2020 in China through an adaptive spatiotemporal modeling framework using satellite data and ground-level monitoring measurements. The annual average data during 2000-2018 are released here and free for non-commercial use. If you want use our dataset, please cite the following two articles. If you want more data (e.g. finer temporal resolution data, data over 2019 and 2020) or further collaborate with us, please contact us via qqhe@whut.edu.cn. If you have any question regarding the dataset, feel free to contact me via qqhe@whut.edu.cn. -He, Qingqing, et al. “Satellite-Derived 1-Km Estimates and Long-Term Trends of PM2.5 Concentrations in China from 2000 to 2018.” Environment International, vol. 156, Nov. 2021, p. 106726, doi:10.1016/j.envint.2021.106726. --He, Qingqing, et al. “Spatiotemporal Trends of PM2.5 Concentrations in Central China from 2003 to 2018 Based on MAIAC-Derived High-Resolution Data.” Environment International, vol. 137, Apr. 2020, p. 105536, doi:10.1016/j.envint.2020.105536. <em>Please note that "0" in NetCDF files should be regarded as invalid value!!!</em> If you want to use other datasets, please go to version_3km (10.5281/zenodo.4569557)