cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jc53szyzyn
title: Data for: Between boreal Siberia and arid Central Asia - stable isotope hydrology and water budget of Burabay National Nature Park ecotone (Northern Kazakhstan)

description: The dataset (n=54) represents the results of analysis for hydrogen and oxygen isotope composition of water with calculated deuterium excess (d-excess: δ^2 H=8δ^18 O+10). The samples were collected during one hydrologic year from November 2015 to November 2016 at Burabay National Nature Park (BNNP), Kazakhstan. Lake water samples (n=30) were collected approximately each month during ice-free period, groundwater (n=13) and streamwater (n=6) samples quarterly. The lake water samples were collected by grab sampling at the shoreline usually at fixed locations (if the location for a given sample for a lake was different from the fixed point it was indicated in comment column and coordinates are provided). The lake water was sampled at approximately monthly intervals, from the start of the open water season (end of April) to the first days of November 2016 (about one week before permanent ice-cover; ice-on). Snow samples (n=2) collected near Lake Shortandy were melted in a sealed container at room temperature. Rainfall samples (n=3) were collected at Kazakh State Hydrometeorological Agency (Kazhydromet) weather station near Ulken Shabakty Lake. The rainfall samples were collected during abundant precipitation events using a large plastic container and immediately transferred into the vials and sealed. Groundwater samples were collected from boreholes (GrdW1-4) using a bailer. Groundwater was sampled during the open water season at approximately three-month intervals (end of April, mid-July, and end of October 2016). Stream samples were collected at approximately the same times as groundwater samples following the same sampling procedure used for lake water samples. The samples were analyzed at the Global Institute for Water Security, McDonnell Watershed Hydrology Laboratory (Saskatchewan, Canada) on a Liquid Water Isotope Analyzer (Los Gatos Research). The analyzer uses liquid water Off-Axis Integrated-Cavity Output Spectroscopy (Off-Axis ICOS) and has an uncertainty of ≤ ±1.0 for δ2H and ±0.2 for δ18O. The following reference materials were used to normalize obtained values to VSMOW international scale: ‘Saskatoon Snow Melt Water’ (SSMW): δ2H= -200.4 ‰, δ18O = -26.1 ‰; and ‘Enriched’: δ2H=3.2 ‰, δ18O=-0.3 ‰). All values are reported as parts per thousand (‰) according to the Vienna Standard Mean Ocean Water - Standard Light Antarctic Precipitation (VSMOW-SLAP) scales. See also the Materials and Methods sections (3.2 and 3.3) of the article. The sampling points and weather station location can also be found in Google Earth geospatial data format file (Burabay isotopes paper.kmz).
DOI: 10.6084/m9.figshare.24124425.v1
title: Data files

description: Data of phytocomponuds present in plant extract by GC-MSWord files (2-6) are bioinformatics analysis dataExcel sheet of SRB assay data
DOI: 10.6084/m9.figshare.27190692.v1
title: Single-cell RNA-seq dataset of innate lymphoid cells

description: The helper-like ILC contains various functional subsets, such as ILC1, ILC2, ILC3 and LTi cells, mediating the immune responses against viruses, parasites, and extracellular bacteria, respectively. Among them, LTi cells are also crucial for the formation of peripheral lymphoid tissues, such as lymph nodes. Our research, along with others’, indicates a high proportion of LTi cells in the fetal ILC pool, which significantly decreases after birth. Conversely, the proportion of non-LTi ILCs increases postnatally, corresponding to the need for LTi cells to mediate lymphoid tissue formation during fetal stages and other ILC subsets to combat diverse pathogen infections postnatally. However, the regulatory mechanism for this transition remains unclear. In this study, we observed a preference for fetal ILC progenitors to differentiate into LTi cells, while postnatal bone marrow ILC progenitors preferentially differentiate into non-LTi ILCs. Particularly, this differentiation shift occurs within the first week after birth in mice. Further analysis revealed that adult ILC progenitors exhibit stronger activation of the Notch signaling pathway compared to fetal counterparts, accompanied by elevated <i>Gata3</i> expression and decreased <i>Rorc</i> expression, leading to a transition from fetal LTi cell-dominant states to adult non-LTi ILC-dominant states. This study suggests that the body can regulate ILC development by modulating the activation level of the Notch signaling pathway, thereby acquiring different ILC subsets to accommodate the varying demands within the body at different developmental stages.<br><br><br>Data usage```import scanpy as sc<br># read the data using scanpyadata= sc.read_h5ad('./220516-ABM.velo.h5ad')<br># draw umap for visualization. `ann0608` is the cell type label.sc.pl.umap(adata,color='ann0608')<br># get gene expression matrixadata.X<br>```
DOI: 10.17632/bnhb3mgkfb
title: Supplementary data for “Individual head models for estimating the TMS-induced electric field in rat brain”

description: Supplementary data for “Individual head models for estimating the TMS-induced electric field in rat brain”. This dataset contains the raw imaging data and an individual volume conductor model (VCM) derived from the imaging data. The dataset contains following items: 1. A high-resolution X-ray tomography image of the head and neck region of a 617 g male Wistar rat (CT_rat_Aivi_2017.nii a NIFTI file) by Kimmo Jokivarsi, 2. Two computational TMS-coil models used in to compute TMS-induced E-field in the work (coils.mat a MATLAB binary data file format), 3. The set of 35 target coordinate systems in a 7 by 5 grid that were used in the work (coordinates.mat a MATLAB binary data file format), 4. The set of BEM surface meshes produced from the tomography image for the work (for one 1C model, two 2C models, and one 3C model; meshes.mat a MATLAB binary data file format), and 5. The TMS-induced E-field computed in the 3C model (lead_field_3C_reference.mat a MATLAB binary data file format). This field has been computed for each of the 35 targets in 10 degree increments from –80 degrees to 90 degrees. Due to symmetry, the remaining orientations from 100 to 270 degrees can be generated from these by changing the sign of the E-field. The E-field is presented as a lead-field matrix, where the rows are {position_1_orientation_1, position_1_orientation_2, ..., position_1_orientation_18, position_2_orientation_1, ...} and columns are {brain_mesh_vertex_1_x, brain_mesh_vertex_1_y, brain_mesh_vertex_1_z, brain_mesh_vertex_2_x, ...}.
DOI: 10.6084/m9.figshare.3511895.v1
title: Appendix A. A table showing the amount and the relative abundance of wildland–urban interface (WUI) area and WUI houses, both in the intermix and the interface WUI type, in each state of the conterminous United States.

description: A table showing the amount and the relative abundance of wildland–urban interface (WUI) area and WUI houses, both in the intermix and the interface WUI type, in each state of the conterminous United States.
DOI: 10.17632/vz6d7tw87f
title: LEM+ dataset: for agricultural remote sensing applications

description: This dataset is the supplementary data of a paper published in the Data in Brief Journal [1]. The dataset, in ESRI shapefile format (spatial reference system: WGS 84, EPSG: 4326), provides monthly land use information about 1854 fields from October 2019 to September 2020 from Luís Eduardo Magalhães (LEM) and other municipalities in the west of Bahia state, Brazil. The majority of the 16 land uses classes are related to crops. The paper [1] describes the applied data collection methods and procedures. Please see the related article for more details: [1] Oldoni, L. V.; Sanches, I. D.; Picoli, M. C. A.; Covre, R. M.; Fronza, J. G. 2020. LEM+ dataset: for agricultural remote sensing applications. Data in Brief (2020). The research and the fieldworks to collected data for this dataset was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001, by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) proccesses 142207/2018-7 (L.V.O.) and 303012/2018-8 (I.D.S.), and by the Environmental Monitoring of Brazilian Biomes project (Brazil Data Cube), funded by the Amazon Fund through the financial collaboration of the Brazilian Development Bank (BNDES) and the Foundation for Science, Technology and Space Applications (FUNCATE) process 17.2.0536.1.
DOI: 10.6084/m9.figshare.13264697.v1
title: Widespread introgression across a phylogeny of 155 Drosophila genomes

description: Data for Widespread introgression across a phylogeny of 155 Drosophila genomes
DOI: 10.6084/m9.figshare.28785866.v1
title: Dados dos periódicos científicos de Acesso Aberto da área de Ciência da Informação presentes no Instagram

description: Objetiva compreender como periódicos científicos de Acesso Aberto na área da Ciência da Informação, a nível global, utilizam o Instagram como ferramenta de divulgação científica, com foco na presença digital, na gestão dos perfis e nas estratégias de comunicação adotadas. Trata-se de uma pesquisa aplicada, de abordagem quantitativa e objetivo descritivo, na qual foram analisados 198 periódicos indexados na <i>Directory of Open Access Journals</i>. A coleta de dados envolveu a identificação de perfis ativos no Instagram, com a finalidade de mapear a presença institucional e caracterizar os tipos de perfil, bem como os países de origem dos periódicos. Os resultados revelam que apenas 18,7% dos periódicos analisados possuem perfis ativos na plataforma, sendo a maioria composta por contas próprias, geridas diretamente pelos periódicos. Brasil e Estados Unidos se destacam quanto à quantidade de periódicos com presença no Instagram, indicando uma maior adesão à comunicação científica digital nesses países. Os achados sugerem uma apropriação ainda tímida da rede social pelos periódicos da área, destacando a necessidade de estratégias mais eficazes e integradas para potencializar o uso do Instagram como canal de disseminação científica para os periódicos de Acesso Aberto da área de Ciência da Informação.
DOI: 10.6084/m9.figshare.29028284.v1
title: NSSI-Control

description: çalışma için mevcut 2 örnekleme ait excell verileri.
DOI: 10.6084/m9.figshare.8044379.v1
title: Quantitative genetic parameters for growth and wood properties in Eucalyptus urograndis - DArT-seq marker data

description: <b>Data Files for</b><b>:</b> <b>Lima et al. 2019.</b> Quantitative genetic parameters for growth and wood properties in Eucalyptus “urograndis” hybrid using near-infrared phenotyping and genome-wide SNP-based relationships. PlosOne (accepted)<br><b>DArT_markers.txt</b> Genotype data for 24,001 dominant (Presence/Absence Variants) markers generated by Diversity Array Technology Sequenced (DArT-seq) sequencing method for 970 trees sampled (numbered from 1 to 1,000) in the study. Genotypes are identified as 0 = sequence fragment absent; 1 = sequence fragment present. DArT-seq markers identification contains marker ID number (column 1), chromosome scaffold, including scaffold beyond chromosome scaffold 11 (column 2) and bp position (column 3). Chromosome position is only available for 11,385 DArT-seq markers.<br>
DOI: 10.17632/8zjds5bf8y
title: Dataset for Impact of Severe Male Factor Infertility on IVF-ICSI Outcomes: A Retrospective Cohort Study

description: Data were retrospectively collected from patient medical records at the Department of Reproductive Medicine and Surgery, SAT Hospital, Government Medical College, Thiruvananthapuram. Couples who underwent IVF-ICSI between January 2017 and December 2020 were identified. Eligible participants were categorized into severe male factor and non-male factor infertility groups, matched for female age, BMI, and ovarian reserve parameters. Information gathered included demographic details, infertility diagnosis, sperm source (ejaculated or surgically retrieved), type of male factor infertility (severe oligoasthenoteratozoospermia or azoospermia), treatment protocols, and clinical pregnancy outcomes. Data were anonymized to maintain patient confidentiality.
DOI: 10.17632/km4n8m74yc
title: Germanium isotope fractionation during evaporation from metal and sulfide melts: Implications for volatile element loss in planetary materials

description: This data set includes Germanium (Ge) concentration and isotopic data for the experimental run products of the Ge degassing experiments as well as for ungrouped iron meteorites, the Arispe (IC) iron meteorite, and the Alfa Aesar Ge solution standard.
DOI: 10.6084/m9.figshare.10009010.v1
title: ApRES data from FRIS

description: ApRES data from the Filchner Ronne Ice Shelf as published in Vaňková et al. Please cite the following paper if using this data:<br><br>Vaňková I., K. W. Nicholls, H. F. J. Corr, K. Makinson, and P. V. Brennan. Observations of tidal melt and vertical strain at the Filchner-Ronne Ice Shelf. JGR-Earth Surface.
DOI: 10.6084/m9.figshare.24137832.v1
title: Hei et alL-data-GCB

description: Full substitution of chemical fertilizer by organic manure decreases soil N<sub>2</sub>O emissions driven by ammonia oxidizers and gross nitrogen transformations
DOI: 10.17632/r4x7f69hh6
title: Data for: Provenance and erosional impact of Quaternary megafloods through the Yarlung-Tsangpo Gorge from zircon U-Pb geochronology of flood deposits, Eastern Himalaya

description: Reduced zircon data for seven detrital megaflood samples.
DOI: 10.17632/wr3x9pkygz
title: Dataset_1_Genres and languages in science communication: the multiple dimensions of the science-policy interface_ Survey_design_Scientific_communication_in_the_digital_age

description: Description: Survey "Scientific communication in the digital age" This survey design seeks to map researchers’ scientific knowledge dissemination practices in the context of increased digitization of academic and research communication. The specific goals of the survey are, firstly, to gain further insights into the ways in which research knowledge is disseminated worldwide and, secondly, to better understand how the affordances of technologies support researchers’ knowledge dissemination practices. The results of the survey will inform the teaching/learning of academic and research writing in higher education institutions. They are also expected to feed into the current scholarly debate on how to best inform policymakers to promote and enhance multilingual science communication on the Internet. For further details see associated Datasets 2 & 3: PEREZ-LLANTADA, CARMEN (2021), “Dataset_2_Genres and languages in science communication: the multiple dimensions of the science-policy interface_Results of the descriptive statistical analysis”, Mendeley Data, V1, doi: 10.17632/ypxnj8wjj7.1 http://dx.doi.org/10.17632/ypxnj8wjj7.1 PEREZ-LLANTADA, CARMEN (2021), “Dataset_3_Genres and languages in science communication: the multiple dimensions of the science-policy interface_ Cross-disciplinary trends of language choice in professional and public communication of science online”, Mendeley Data, V1, doi: 10.17632/7rb7tvybd6.1 http://dx.doi.org/10.17632/7rb7tvybd6.1
DOI: 10.6084/m9.figshare.21624180.v1
title: TCR Datasets Normalized for All Features

description: These CSV files have been normalized from the raw data taken from their respective publications (Su = ISB-S dataset, Zhang = PLA dataset, Wen = WHH dataset)
DOI: 10.6084/m9.figshare.5123872.v1
title: Supplementary Material for: Pancreatic Carcinoma Cell Lines Reflect Frequency and Variability of Cancer Stem Cell Markers in Clinical Tissue

description: <b><i>Background:</i></b> Pancreatic cancer is one of the most deadly malignancies with insufficient therapeutic options and poor outcome. Cancer stem cells (CSCs) are thought to be responsible for progression and therapy resistance. We investigated the potential of pancreatic cell lines for CSC research by analyzing to what extent they contain CSC populations and how representative these are compared to clinical tissue.<b><i> Methods:</i></b> Six pancreatic cancer cell lines were analyzed by flow cytometry for CD326, CD133, CD44, CD24, CXCR4 and ABCG2. Subsequently, 70 primary pancreatic tissues were evaluated for CD326, CD133 and CD44 by immunohistochemistry. <b><i>Results:</i></b> All the cell lines but one showed a stable expression pattern throughout biological replicates. Marker expression in clinical tissue of CD44 distinguished normal patients from pancreatic carcinoma patients with a sensitivity of 50% at 80% specificity and metastasized from nonmetastasized carcinomas with 69% sensitivity at 100% specificity. <b><i>Conclusions:</i></b> Our results indicate a link between elevated CD44 expression, malignancy and metastasis of pancreatic tissue. Furthermore, individual pancreatic cell lines show a substantial amount of cells with CSC properties which is comparable with interpatient variability detected in primary tissue. These pancreatic cancer cell lines could thus serve for urgently needed pharmacological CSC in vitro research.
DOI: 10.6084/m9.figshare.21431124.v1
title: data.xlsx

description: We collected data from mobile payment service users in Taiwan.
DOI: 10.6084/m9.figshare.21762737.v7
title: Supplemental tables-R1

description: Supplemental tables 1-2
DOI: 10.6084/m9.figshare.24550351.v3
title: Data for Lingo3DMol

description: "DUDE_pocket.tar.gz" contains the pocket structures of the 101 DUDE targets used for model evaluation."lingo3dmol_confs.tar.gz" includes molecules generated by Lingo3DMol for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."pocket2mol_confs.tar.gz" consists of molecules generated by Pocket2Mol for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."targetdiff_confs.tar.gz" contains molecules generated by TargitDiff for the 101 DUD-E targets. It includes 3D conformations directly generated by the model without any force field-based refinement."random_confs.tar.gz" contains random molecules for the 101 DUD-E targets. It includes 3D conformations obtained through docking.The molecule files in "*_confs.tar.gz" files are named using the format {pdb_id}-{mol_id}.Additional information about the generated molecules, including mol_id, SMILES, and metric scores involved in the evaluation, can be found in the "*_moleculars_metric_score_with_dude.csv" files."Training_data.tar.gz" contains all the complex structures used for model fine-tuning."Training_data_homology_with_DUDE.csv" contains information about the PDB IDs in the training set and their maximum sequence identity with the DUD-E targets used in the evaluation."Pretraining_molecules_SMILES" is a dataset that contains a specific subset of data used for pretraining. This dataset consists of 1.4 million publicly available molecules that were utilized during the pretraining phase.
DOI: 10.6084/m9.figshare.27107470.v1
title: Source data for NCOMMS-24-37408B

description: Source data for NCOMMS-24-37408B: Integrating few-atom layer metal on high-entropy alloys to catalyse nitrate reduction in tandem
DOI: 10.6084/m9.figshare.28943690.v2
title: <b>10-meter Resolution Mapping of Farmland Shelterbelts in Northeast China (2018–2022)</b>

description: This study employs multi-temporal Sentinel-2 imagery and leverages the unique phenological characteristics of shelterbelts to develop a multi-feature classification model that integrates spectral, texture, and temporal features. Using this approach, we successfully produced a 10-meter resolution farmland shelterbelt distribution map of Northeast China for the period 2019 to 2023. The results revealed a consistent year-on-year increase in shelterbelt length. The proposed method achieved an overall classification accuracy of 93.25% with a Kappa coefficient of 0.91. This study provides a novel approach for high-precision identification of farmland shelterbelts and offers valuable insights for remote sensing monitoring of other agroforestry ecosystems.
DOI: 10.6084/m9.figshare.3558648.v1
title: Appendix B. Netting effort and growth data for principal fish species.

description: Netting effort and growth data for principal fish species.
DOI: 10.17632/svth7pvkp5
title: Data for: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation

description: Amazon exposes the official datasets (http://jmcauley.ucsd.edu/data/amazon/) which have filtered out users and items with less than 5 reviews and removed a large amount of invalid data. Because of above advantages, these datasets are widely utilized by researchers. We also chose Amazon's dataset for experiments. In our experiments, only users, items, interactions, and category information are utilized. We do the preprocessing in the following two steps: 1. Remove the users whose interactions less than 10 and the items which interactions less than 8 to ensure the effectiveness of each user and item. 2. Select the users with more than 4 sessions, and select up to 90 behavior records for the remaining users. This step guarantees the existence of long- and short-term behavior records and all behavior records occurred within recent three months.
DOI: 10.6084/m9.figshare.24851529.v1
title: <b>Micro Rain Radar and Radiometric Measurements to Unravel Contrasting Features of Rain Microstructure below and above the Boundary Layer</b>

description: · Mean drop diameter and parameters of the gamma model show opposite variation with rain rates below and above the boundary layer.· Enhanced drop breakup due to instabilities and wind shear above the boundary layer during intense convection causes such anomalies.· It is critical that radar quantitative precipitation estimation algorithm accounts for the type of rain namely Convective and Stratiform.
DOI: 10.6084/m9.figshare.25838197.v3
title: Leao et al., 2024 - Supplementary Data

description: Supplementary information of paper <b>"Asgard archaea defense systems and their roles in the origin of eukaryotic immunity"</b> by Pedro Leão, Mary E. Little, Kathryn E. Appler, Daphne Sahaya, Emily Aguilar-Pine, Kathryn Currie, Ilya J. Finkelstein, Valerie De Anda and Brett J. BakerSupplementary Data 1 - DefenseFinder output, and descriptive statistics of each dataset analyzed in Leão et al., 2024Supplementary Data 2 - Information regarding the asVip expression experiment presented in Leão et al., 2024Supplementary Data 3 - General information and alignments of the protein structures used in Leão et al., 2024Supplementary Data 4 - Mapping files of the phylogenetic trees presented in Leão et al., 2024Supplementary Data 5 - Sequence and structural alignments used to generate the data presented in Leão et al., 2024Supplementary Information - Phylogenetic analyses of Argonaute, NLR and Mokosh defence systems proteins across the tree of lifeAlignments - Alignments used to generate the phylogenetic trees presented in this manuscriptPublication license for figure 4 in this manuscript.
DOI: 10.6084/m9.figshare.26049640.v1
title: Quantifying and reducing the cost of tagging: Combining fluid dynamics and diving experiments to reduce impact from animal-borne tags

description: Data and code associated to manuscript submission
DOI: 10.17605/osf.io/g2h3m
title: Supporting Dataset for “Robust Method for Confidence Interval Estimation in Outlier-Prone Datasets”

description: This repository contains the datasets and supporting R codes used in the preparation of the manuscript:

Robust Method for Confidence Interval Estimation in Outlier-Prone Datasets: Application to Molecular and Biophysical Data 
Victor V. Golovko, Biomolecules 2025, 15(5), 704; https://doi.org/10.3390/biom15050704.

The codes reproduce the hybrid-parametric bootstrap and Steiner’s Most Frequent Value (MFV) workflow, calculate confidence intervals, and generate all figures and tables presented in the paper.