cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21266064.v1
title: KIM-Si-training-set

description: This is the silicon ("KIM-Si") training set used in the forthcoming NeurIPS '22 paper titled "Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties" by Shui et al. It contains a total of 16,110 atomic configurations in extended XYZ format with total potential energies computed by eight different empirical potentials for each of them. Reference energies computed using (GGA-PBE) density functional theory (DFT) in the VASP ab initio software package are provided for 2,110 of the configurations.
DOI: 10.6084/m9.figshare.21357606
title: Late Holocene change in South Asian monsoons and their influences on human activities in the southern Tibetan Plateau

description: It contains color, magnetic susceptibility and grain size data from the FZ loess section near NyingChi city, southern Tibetan Plateau.
DOI: 10.26188/21357654
title: Fertility paper Lau et al 2022

description: Data from Lau et al 2022 moquito fertility
DOI: 10.26188/21357654.v1
title: Fertility paper Lau et al 2022

description: Data from Lau et al 2022 moquito fertility
DOI: 10.26300/th92-tz43
title: Sensitivity analysis code
DOI: 10.5281/zenodo.7222696
title: Multi-stage evolution of the South Australian Craton: petrological constraints on the architecture, lithology, and geochemistry of the lithospheric mantle

description: APPENDIX_A: LA-ICP-MS and EPMA analyses for pyrope garnet and Cr diopside used in study.
DOI: 10.5281/zenodo.7222695
title: Multi-stage evolution of the South Australian Craton: petrological constraints on the architecture, lithology, and geochemistry of the lithospheric mantle

description: APPENDIX_A: LA-ICP-MS and EPMA analyses for pyrope garnet and Cr diopside used in study.
DOI: 10.26300/hp6m-x118
title: Simulation model output
DOI: 10.25800/6bre-ay48
title: DSA-110 Data for Candidate Fast Radio Burst 221018aaaj

description: Data associated with DSA-110 candidate transient.
DOI: 10.6084/m9.figshare.21357747
title: Crime as explained by atmospheric variables

description: Contains a few variables relevant to the topic <br>
DOI: 10.6084/m9.figshare.21357798
title: ATAC-hOE2034.sort.bw

description: hOE2034
DOI: 10.6084/m9.figshare.21357798.v1
title: ATAC-hOE2034.sort.bw

description: hOE2034
DOI: 10.5519/qd.hq7cxhoz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.6101800
title: The installation-level China coal model

description: <strong>China coal model</strong><br> The full version of a China coal transport model with a very high spatial reslution. See updated files/version.
DOI: 10.5281/zenodo.6102658
title: The installation-level China coal model

description: n/a see new version
DOI: 10.5281/zenodo.6196034
title: The installation-level China coal model IL-CCM

description: n/a See updated version
DOI: 10.5281/zenodo.6301728
title: The installation-level China coal model IL-CCM

description: <strong>Disregard. See updated version.</strong>
DOI: 10.6084/m9.figshare.21205691
title: Fungal exoenzymes_proteomics

description: Raw data of fungal exoenzyme profiling by bottom-up proteomics, which were used in "Lignin metabolism by selected fungi and microbial consortia for plant stimulation: Implications for biologically active humus genesis" to be published in Microbiology Spectrum.
DOI: 10.6084/m9.figshare.21205691.v1
title: Fungal exoenzymes_proteomics

description: Raw data of fungal exoenzyme profiling by bottom-up proteomics, which were used in "Lignin metabolism by selected fungi and microbial consortia for plant stimulation: Implications for biologically active humus genesis" to be published in Microbiology Spectrum.
DOI: 10.6084/m9.figshare.21357870.v1
title: ATAC-hOE2175.sort.bw

description: hOE2175
DOI: 10.6084/m9.figshare.21357870
title: ATAC-hOE2175.sort.bw

description: hOE2175
DOI: 10.6084/m9.figshare.21357855
title: AUD differential expression

description: Kapoor et al, 2019 <strong>Analysis of whole genome-transcriptomic organization in brain to identify genes associated with alcoholism</strong> Transl Psychiatry . 2019 Feb 14;9(1):89. doi: 10.1038/s41398-019-0384-y.
DOI: 10.5281/zenodo.7221786
title: Species cover of open savanna plant communities under different fire frequencies.

description: Bare soil percentage, dead biomass, and species cover data of plant communities of open savanna under different fire frequency treatments (annual fire, biennial fire, and fire exclusion).
description: Linked to article: Rodrigues, C.A. & Fidelis, A. Should we burn the Cerrado? Effects of fire frequency on open savanna plant communities.Journal of Vegetation Science.
DOI: 10.5281/zenodo.7221785
title: Species cover of open savanna plant communities under different fire frequencies.

description: Bare soil percentage, dead biomass, and species cover data of plant communities of open savanna under different fire frequency treatments (annual fire, biennial fire, and fire exclusion).
description: Linked to article: Rodrigues, C.A. & Fidelis, A. Should we burn the Cerrado? Effects of fire frequency on open savanna plant communities.Journal of Vegetation Science.
DOI: 10.6084/m9.figshare.21357912.v1
title: Table S2 - genic pan-network stats.xlsx

description: The number of nodes and edges within the pan-network categories for the GWAS hits overlapping the genic regions only and overlapping either genic or promoter regions.
DOI: 10.5517/ccdc.csd.cc2bt9k1
title: CCDC 2169273: Experimental Crystal Structure Determination

description: Related Article: Luciano Barluzzi, Sean R. Giblin, Akseli Mansikkamäki, Richard A. Layfield|2022|J.Am.Chem.Soc.|144|18229|doi:10.1021/jacs.2c06519
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.cc2bvb7s
title: CCDC 2170255: Experimental Crystal Structure Determination

description: Related Article: Luciano Barluzzi, Sean R. Giblin, Akseli Mansikkamäki, Richard A. Layfield|2022|J.Am.Chem.Soc.|144|18229|doi:10.1021/jacs.2c06519
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.cc2bvf9y
title: CCDC 2170350: Experimental Crystal Structure Determination

description: Related Article: Qiwei Zhu, Chenxia Kan, Yucai Cao, Zefeng Tang, Kang Xu, Pengjie Hang, Biao Li, Yuxin Yao, Ming Lei, Xuegong Yu|2022|Org.Lett.|24|7053|doi:10.1021/acs.orglett.2c02370
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.cc2bxygp
title: CCDC 2172773: Experimental Crystal Structure Determination

description: Related Article: Sandeep Kumar Dey, Beatriz Gil-Hernández, Vivekanand V. Gobre, Dennis Woschko, Sarvesh S. Harmalkar, Firdaus Rahaman Gayen, Biswajit Saha, Rajib Lochan Goswamee, Christoph Janiak|2022|Dalton Trans.|51|15239|doi:10.1039/D2DT02281H
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: 10.34740/kaggle/dsv/4349636
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.21357924
title: Data and Metadata for Solo Survey BIOL 3250 (Fall 2022)

description: <strong>METADATA:</strong> Date: Format of date was day, month, year. Transect distance: Measured using field tape, laid straight across distinct areas. Weather: Temperature in Celsius and cloud cover recorded during data collection. Location: Distinct areas were where transect was laid down. Identified using adjacent buidlings. Species richness: Visual count of all different species with roots inside the quadrat. Total cover: Estimated by splitting quadrat area into 4 squares each covering 25%. Disturbance: Determined by visual signs of human traffic (exposed dirt/footprints etc.) along with limited pilot observation of sites. Disturbance was considered same for each distinct area. Nearby vegetation: Using visual identification and in some cases, iNaturalist and Google.
DOI: 10.6084/m9.figshare.21357924.v1
title: Data and Metadata for Solo Survey BIOL 3250 (Fall 2022)

description: <strong>METADATA:</strong> Date: Format of date was day, month, year. Transect distance: Measured using field tape, laid straight across distinct areas. Weather: Temperature in Celsius and cloud cover recorded during data collection. Location: Distinct areas were where transect was laid down. Identified using adjacent buidlings. Species richness: Visual count of all different species with roots inside the quadrat. Total cover: Estimated by splitting quadrat area into 4 squares each covering 25%. Disturbance: Determined by visual signs of human traffic (exposed dirt/footprints etc.) along with limited pilot observation of sites. Disturbance was considered same for each distinct area. Nearby vegetation: Using visual identification and in some cases, iNaturalist and Google.
DOI: 10.6084/m9.figshare.15060138
title: The Pandemic Experience Corpus (June - July 2020)

description: Datasets each containing responses in a different language:- English (EN.csv)- Japanese (JP.csv) + its English translation (JP2EN.csv)- Spanish (ES.csv) + its English translation (ES2EN.csv)<br>
DOI: 10.6084/m9.figshare.15060138.v6
title: The Pandemic Experience Corpus (June - July 2020)

description: Datasets each containing responses in a different language:- English (EN.csv)- Japanese (JP.csv) + its English translation (JP2EN.csv)- Spanish (ES.csv) + its English translation (ES2EN.csv)<br>
DOI: 10.5281/zenodo.7198950
title: HISEA -1 SAR Floodwater Mapping Dataset

description: The dataset can be used for deep learning of flood water extraction. They are generated from 20 HISEA-1 images of 3 different flood events in 2021. All images are level-2 ORG products, striping mode, 3 m resolution, VV polarization. These SAR images have been manually labeled to produce the water bodies dataset. All sample sets are randomly allocated in the ratio of 6:2:2, and divided into 1404 training sets, 468 validation sets, and 468 test sets (a total of 2340 experimental data). This dataset covers 20,000 square kilometers, and contains rivers, tributaries, reservoirs, lakes and paddy fields.
DOI: 10.5281/zenodo.7198949
title: HISEA -1 SAR Floodwater Mapping Dataset

description: The dataset can be used for deep learning of flood water extraction. They are generated from 20 HISEA-1 images of 3 different flood events in 2021. All images are level-2 ORG products, striping mode, 3 m resolution, VV polarization. These SAR images have been manually labeled to produce the water bodies dataset. All sample sets are randomly allocated in the ratio of 6:2:2, and divided into 1404 training sets, 468 validation sets, and 468 test sets (a total of 2340 experimental data). This dataset covers 20,000 square kilometers, and contains rivers, tributaries, reservoirs, lakes and paddy fields.
DOI: 10.6084/m9.figshare.20443182
title: The Pandemic Experience Corpus II (April - July 2021)

description: Datasets each containing responses in a different language: - English (ENII.csv) - Japanese (JPII.csv) + its English translation (JP2ENII.csv) - Spanish (ESII.csv) + its English translation (ES2ENII.csv) - Aligned dataset corp I vs corp II (Aligned_dataset_EN_sv1_sv2)
DOI: 10.6084/m9.figshare.21357363
title: Metabolites milk oxylipin data

description: Data used to assess quality of milk oxylipin measurements.
DOI: 10.6084/m9.figshare.21357363.v2
title: Metabolites milk oxylipin data

description: Data used to assess quality of milk oxylipin measurements.
DOI: 10.34740/kaggle/dsv/4349721
title: BBC News
DOI: 10.5281/zenodo.7222981
title: PERTEMUAN 5, 19 OKTOBER 2022, Manajemen Belanja Daerah, STIESIA SURABAYA

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Setelah menempuh mata kuliah ini mahasiswa mampu menganalisis pelaporan keuangan sektor publik dan mengevaluasi penerapan kebijakan manajemen keuangan dalam proses pengambilan keputusan di berbagai kegiatan sektor publik dan terampil merancang dan mengimplementasikan berbagai taktik dalam manajemen keuangan sektor publik secara mandiri dan bertanggung jawab Mahasiswa mampu memahami kebijakan, prinsip dan pengendalian belanja daerah <strong>Kebijakan Belanja Daerah </strong> ●<strong>Belanja Daerah menurut PP Nomor 16 Tahun 2019</strong> adalah semua kewajiban Pemerintah Daerah yang diakui sebagai pengurang nilai kekayaan bersih dalam periode tahun anggaran berkenaan. ●Kebijakan belanja berkaitan dengan apa yang akan dilakukan dan berakibat pada pengeluaran, maka dari itu kebijakan belanja ditentukan pada tahap perencanaan anggaran. ●Kebijakan belanja daerah menunjukkan prioritas pembangunan dan langkah kebijakan sebagai upaya meningkatkan pembangunan daerah yang juga merupakan penyelarasan kebijakan pusat dan kondisi sebenarnya di daerah. ●Kebijakan belanja daerah biasa tertuang pada dokumen perencanaan daerah, yaitu pada Kebijakan Umum APBD, Prioritas dan Plafon Anggaran, Rencana Kerja Pemerintah Daerah (RKPD), dan Rencana Pembangunan Jangka Menengah Daerah (RPJMD).
description: PERTEMUAN 5, 19 OKTOBER 2022, Manajemen Belanja Daerah, STIESIA SURABAYA
DOI: 10.5281/zenodo.7222980
title: PERTEMUAN 5, 19 OKTOBER 2022, Manajemen Belanja Daerah, STIESIA SURABAYA

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Setelah menempuh mata kuliah ini mahasiswa mampu menganalisis pelaporan keuangan sektor publik dan mengevaluasi penerapan kebijakan manajemen keuangan dalam proses pengambilan keputusan di berbagai kegiatan sektor publik dan terampil merancang dan mengimplementasikan berbagai taktik dalam manajemen keuangan sektor publik secara mandiri dan bertanggung jawab Mahasiswa mampu memahami kebijakan, prinsip dan pengendalian belanja daerah <strong>Kebijakan Belanja Daerah </strong> ●<strong>Belanja Daerah menurut PP Nomor 16 Tahun 2019</strong> adalah semua kewajiban Pemerintah Daerah yang diakui sebagai pengurang nilai kekayaan bersih dalam periode tahun anggaran berkenaan. ●Kebijakan belanja berkaitan dengan apa yang akan dilakukan dan berakibat pada pengeluaran, maka dari itu kebijakan belanja ditentukan pada tahap perencanaan anggaran. ●Kebijakan belanja daerah menunjukkan prioritas pembangunan dan langkah kebijakan sebagai upaya meningkatkan pembangunan daerah yang juga merupakan penyelarasan kebijakan pusat dan kondisi sebenarnya di daerah. ●Kebijakan belanja daerah biasa tertuang pada dokumen perencanaan daerah, yaitu pada Kebijakan Umum APBD, Prioritas dan Plafon Anggaran, Rencana Kerja Pemerintah Daerah (RKPD), dan Rencana Pembangunan Jangka Menengah Daerah (RPJMD).
description: PERTEMUAN 5, 19 OKTOBER 2022, Manajemen Belanja Daerah, STIESIA SURABAYA
DOI: 10.6084/m9.figshare.21357981
title: GCA baseline data FINAL - de-identifiedxlsx.xlsx

description: GCA baseline data FINAL - de-identifiedxlsx.xlsx
DOI: 10.6084/m9.figshare.21357981.v1
title: GCA baseline data FINAL - de-identifiedxlsx.xlsx

description: GCA baseline data FINAL - de-identifiedxlsx.xlsx
DOI: 10.18141/1890174
title: NEWTS USGS Brackish Water Database

description: Data from the USGS Brackish Water Database on brackish water compositions from across the US. Data has been filtered for high salinity and completeness of data attributes. Data has been transposed and converted for ease of input into aqueous chemistry modeling software including OLI Systems and Geochemist's Workbench. Original data from: Qi, S.L., and Harris, A.C., 2017, Geochemical Database for the Brackish Groundwater Assessment of the United States: U.S. Geological Survey data release, https://doi.org/10.5066/F72F7KK1.
DOI: 10.5439/1893300
title: acsmcdce (s1)

description: acsmcdce
DOI: 10.5439/1893306
title: cammwr3cmovie (a1)

description: cammwr3cmovie
DOI: 10.5439/1893307
title: cammwr3c (a1)

description: cammwr3c
DOI: 10.6084/m9.figshare.21357975
title: Sperm_H3K27me3_replicate2.filtered.seq_depth_norm.bw

description: Sperm_H3K27me3_replicate2
DOI: 10.6084/m9.figshare.21357975.v1
title: Sperm_H3K27me3_replicate2.filtered.seq_depth_norm.bw

description: Sperm_H3K27me3_replicate2
DOI: 10.15121/1893534
title: Utah FORGE: Well 16A(78)-32 Stimulation Tracer Test Results

description: This archive contains data from the tracer test performed during the Utah FORGE well 16A(78)-32 stimulation. This includes: 1. the raw data file from Pason in the csv format; 2. a one-page Word document from Pason that explains the headers and units used in their data file; 3. an Excel spreadsheet with concentration data and relevant Pason flow data; 4. a Word document with jpg versions of concentration charts (Figs. 1-3) and a tracer mass recovery chart (Fig. 4).
DOI: 10.15121/1893535
title: Utah FORGE: Phase 1a Tensor Strainmeter Data for the April, 2022 Stimulation of Well 16A(78)-32

description: Data from two Tensor Optical Fiber Strainmeters that were operational during Stages 1, 2, and 3 of the April, 2022 stimulation of well 16A(78)-32. Each csv file contains data from each stimulation stage (stage1, stage2, stage3) for both Phase 1a strainmeter installations (FS01, formerly FS-C, and FS02, formerly FS1-2) in human-readable comma-separated value text files. There are two header lines in each file describing the data contained in that column along with their units, respectively. Data have been decimated from 2 to 1 Hz to match the Pason data found in the linked GDR dataset below (16A78-32 Stimulation Pason Data). These files contain the time series spanning the same time interval as the Pason data as well as ambient data for 5 hours before the stimulation and 5 hours following shut in. The station locations were chosen based on their proximity to the borehole seismometers owned and operated by the University of Utah. See README.txt for more information.
DOI: 10.18112/openneuro.ds004078.v1.0.4
title: A synchronized multimodal neuroimaging dataset to study brain language processing
DOI: 10.6084/m9.figshare.21357993.v1
title: RS_H3K27me3_replicate2.filtered.seq_depth_norm.bw

description: RS_H3K27me3_replicate2.filtered.seq_depth_norm.bw
DOI: 10.6084/m9.figshare.21357993
title: RS_H3K27me3_replicate2.filtered.seq_depth_norm.bw

description: RS_H3K27me3_replicate2.filtered.seq_depth_norm.bw
DOI: 10.5281/zenodo.7223172
title: Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 30 January 2018.

description: Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 30 January 2018.
DOI: 10.5281/zenodo.7223173
title: Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 30 January 2018.

description: Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 30 January 2018.
DOI: 10.5281/zenodo.7223201
title: Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 1 September 2017

description: Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 1 September 2017
DOI: 10.5281/zenodo.7223200
title: Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 1 September 2017

description: Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 1 September 2017
DOI: 10.6084/m9.figshare.21358008
title: RS_H3K4me3_replicate2.filtered.seq_depth_norm.bw

description: RS_H3K4me3_replicate2.filtered.seq_depth_norm.bw
DOI: 10.6084/m9.figshare.21358008.v1
title: RS_H3K4me3_replicate2.filtered.seq_depth_norm.bw

description: RS_H3K4me3_replicate2.filtered.seq_depth_norm.bw
DOI: 10.6084/m9.figshare.21358064
title: Additional file 2 of Measuring continuity of ambulatory cardiovascular care: a cross-sectional study on the applicability of the Nijmegen Continuity Questionnaire in Germany

description: Additional file 2. Sociodemographic characteristics of patients participating in the quantitative study (additional subsamples, total sample for comparison).
DOI: 10.6084/m9.figshare.21358064.v1
title: Additional file 2 of Measuring continuity of ambulatory cardiovascular care: a cross-sectional study on the applicability of the Nijmegen Continuity Questionnaire in Germany

description: Additional file 2. Sociodemographic characteristics of patients participating in the quantitative study (additional subsamples, total sample for comparison).
DOI: 10.6084/m9.figshare.19609026
title: Additional file 1 of Predicting lymph node metastasis and prognosis of individual cancer patients based on miRNA-mediated RNA interactions

description: Additional file 1. Performance of two base models (logistic regression and SVM) and the ensemble model by stacking the base models in predicting lymph node metastasis.
DOI: 10.6084/m9.figshare.21358089
title: Additional file 2 of Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts

description: Additional file 2.
DOI: 10.6084/m9.figshare.21358089.v1
title: Additional file 2 of Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts

description: Additional file 2.
DOI: 10.6084/m9.figshare.19609026.v1
title: Additional file 1 of Predicting lymph node metastasis and prognosis of individual cancer patients based on miRNA-mediated RNA interactions

description: Additional file 1. Performance of two base models (logistic regression and SVM) and the ensemble model by stacking the base models in predicting lymph node metastasis.
DOI: 10.6084/m9.figshare.19609029
title: Additional file 2 of Predicting lymph node metastasis and prognosis of individual cancer patients based on miRNA-mediated RNA interactions

description: Additional file 2. Potential prognostic miRNA–RNA pairs in seven types of cancer.
DOI: 10.6084/m9.figshare.19609032
title: Additional file 3 of Predicting lymph node metastasis and prognosis of individual cancer patients based on miRNA-mediated RNA interactions

description: Additional file 3. TCGA barcodes of all normal samples and tumor samples studied in our work.
DOI: 10.6084/m9.figshare.19609032.v1
title: Additional file 3 of Predicting lymph node metastasis and prognosis of individual cancer patients based on miRNA-mediated RNA interactions

description: Additional file 3. TCGA barcodes of all normal samples and tumor samples studied in our work.
DOI: 10.6084/m9.figshare.19609029.v1
title: Additional file 2 of Predicting lymph node metastasis and prognosis of individual cancer patients based on miRNA-mediated RNA interactions

description: Additional file 2. Potential prognostic miRNA–RNA pairs in seven types of cancer.
DOI: 10.6084/m9.figshare.21358131
title: Additional file 1 of SARS-CoV-2 variants of concern and spike protein mutational dynamics in a Swedish cohort during 2021, studied by Nanopore sequencing

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.21358131.v1
title: Additional file 1 of SARS-CoV-2 variants of concern and spike protein mutational dynamics in a Swedish cohort during 2021, studied by Nanopore sequencing

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.21358142
title: Additional file 1 of Males of Aedes aegypti show different clock gene expression profiles in the presence of conspecific females

description: Additional file 1: Table S1. Means and standard errors of the clock genes in tissues of Aedes aegypti males