cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18071839
title: CRISPR-HAWK Data and Results

description: Dataset Description

This archive contains all input data and pre-computed outputs required to reproduce the analyses reported in the manuscript “CRISPR-HAWK: Haplotype- and Variant-Aware Guide Design Toolkit for CRISPR–Cas.” The dataset supports variant- and haplotype-resolved CRISPR guide RNA (gRNA) design and downstream functional interpretation. The directory is organized as follows:

data/annotations/

Genomic feature annotations used to characterize candidate guide locations, including:





COSMIC – catalogue of somatic cancer mutations




DHS – DNase I hypersensitive sites




ENCODE – experimentally annotated regulatory elements




GENCODE – protein-coding gene annotations



All files are provided in compressed and indexed BED format to enable efficient genomic interval queries.

data/genomes/hg38/

Reference genome sequences for the human GRCh38/hg38 assembly, including:





FASTA files (.fa)




Index files (.fai)



Only the chromosomes analyzed in the study are included.

data/regions/

BED files defining the genomic loci supplied to CRISPR-HAWK for guide design:





cas9.bed — regions targeted using SpCas9 (NGG PAM; 20-nt guides)




cpf1.bed — regions targeted using Cas12a/Cpf1 (TTTV PAM; 23-nt guides)



These loci include both therapeutic CRISPR targets and benchmark regions described in the manuscript.

data/variants/

Population-scale human genetic variation datasets used to construct variant- and haplotype-resolved target sequences:





1000 Genomes Project (1000G) (VCFs and indexes downloaded using the helper script provided)




HGDP (VCFs and indexes downloaded using the helper script provided)




gnomAD v4.1 genomes(pre-processed using crisprhawk convert-gnomad-vcfs)



CRISPR-HAWK integrates these datasets during guide discovery to account for genetic diversity across global populations.

data/off-targets/

Off-target sites predicted using CRISPRme v2.1.7 (web interface) for:





the therapeutic guide sg1617, and




all alternative gRNAs identified by CRISPR-HAWK targeting the same locus.



Search parameters:





PAM: NGG




Maximum mismatches: 6




Maximum bulges: 2 (DNA and RNA allowed)




Variant datasets: 1000G + HGDP



These files were used to evaluate how variant-matched guide design influences predicted off-target risk.

results/

Pre-computed CRISPR-HAWK guide design outputs for all combinations of:





CRISPR nucleases




population variant datasets




genomic target regions



Outputs include variant- and haplotype-resolved guide candidates, annotations, and haplotype summaries. These tables can be used directly to regenerate the figures presented in the manuscript.

 





results_nsamples/



Pre-computed CRISPR-HAWK outputs for all combinations of:


* Cas nucleases

* variant datasets

* genomic regions


with pre-computed number of samples.


They can be used directly to regenerate the manuscript figures.
DOI: 10.5281/zenodo.18073513
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.5281/zenodo.18073982
title: Return Resilience Modeling for Industrial Parks REITs Based on Bioimmunology Theory: ESG Integration and Multi-Agent Simulation
DOI: 10.5281/zenodo.18073983
title: Return Resilience Modeling for Industrial Parks REITs Based on Bioimmunology Theory: ESG Integration and Multi-Agent Simulation
DOI: 10.34740/kaggle/dsv/14318832
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34740/kaggle/dsv/14318829
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.3886/e241746
title: Akwa-Ibom State School of Nursing, Eket 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Akwa-Ibom State School of Nursing, Eket 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.5281/zenodo.14748298
title: Supporting Data for Automatic optimization of flat-field corrections by evaluation and enhancement (EVEN) in multimodal optical microscopy

description: Supporting data and images for the manuscript Corbetta, E, et al., 'Automatic optimization of flat-field corrections by evaluation and enhancement (EVEN) in multimodal optical microscopy.' (2025, under peer-review).

The data folder contains the relevant dataset for the results of the manuscript, organized as follows:



01_Manual_assessment: single-channel images with increasing uneven illumination used for manual assessment with the quality metrics (Figure 3 of the paper)

02_Training: training dataset for the classification model. (Original dataset from [2] available here: https://doi.org/10.1002/cem.2901)

03_Prediction_Dataset1-Head-and-neck: multimodal nonlinear measurements of human head and neck tissue (prediction dataset 1), provided by [3].

03_Prediction_Dataset2-Cells: multimodal measurements of stained HEK293 cells (prediction dataset 2).

03_Prediction_Dataset3-Basic-Cell-culture-Demo: multimodal measurement of cell culture (prediction dataset 3), provided by [4].

03_Prediction_Dataset4-Basic-Brain-Demo: single channel measurements of brain sections (prediction dataset 4), provided by [4].

03_Prediction_Dataset5-Basic-Timelapse-Demo: single channel timelapse measurements of differentiating cells (prediction dataset 5), provided by [4]


Folders contain a Source images subfolder with the original images used for evaluation and prediction, and a Source data subfolder with the EVEN output. Some folders contain additional data from the supporting infomation.

The scan_size files contain the information on the tile size of each dataset for the correct computation of the metrics.
DOI: 10.5281/zenodo.14748299
title: Supporting Data for Automatic optimization of flat-field corrections by evaluation and enhancement (EVEN) in multimodal optical microscopy

description: Supporting data and images for the manuscript Corbetta, E, et al., 'Automatic optimization of flat-field corrections by evaluation and enhancement (EVEN) in multimodal optical microscopy.' (2025, under peer-review).

The data folder contains the relevant dataset for the results of the manuscript, organized as follows:



01_Manual_assessment: single-channel images with increasing uneven illumination used for manual assessment with the quality metrics (Figure 3 of the paper)

02_Training: training dataset for the classification model. (Original dataset from [2] available here: https://doi.org/10.1002/cem.2901)

03_Prediction_Dataset1-Head-and-neck: multimodal nonlinear measurements of human head and neck tissue (prediction dataset 1), provided by [3].

03_Prediction_Dataset2-Cells: multimodal measurements of stained HEK293 cells (prediction dataset 2).

03_Prediction_Dataset3-Basic-Cell-culture-Demo: multimodal measurement of cell culture (prediction dataset 3), provided by [4].

03_Prediction_Dataset4-Basic-Brain-Demo: single channel measurements of brain sections (prediction dataset 4), provided by [4].

03_Prediction_Dataset5-Basic-Timelapse-Demo: single channel timelapse measurements of differentiating cells (prediction dataset 5), provided by [4]


Folders contain a Source images subfolder with the original images used for evaluation and prediction, and a Source data subfolder with the EVEN output. Some folders contain additional data from the supporting infomation.

The scan_size files contain the information on the tile size of each dataset for the correct computation of the metrics.
DOI: 10.21227/08am-rb58
title: "An lightweight CNN-CBAM model for identifying remnant low systems from global reanalysis"

description: "This dataset includes samples of Normal Tropical Cyclones, Remnant Lows\uff08RL\uff09, and Non-Tropical-Cyclone (No-TC) conditions. The labels for Normal Tropical Cyclones and Residual Systems are derived from the China Meteorological Administration (CMA) best-track dataset, with lifecycle stage definitions referenced from IBTrACS.The No-TC samples are generated based on the CMA best-track records over coastal regions of China. Specifically, the coastal area is divided into three sub-regions: Region A (Guangdong, Guangxi, Hainan, Hong Kong, Macao, and adjacent seas), Region B (Fujian Province and the Xiamen offshore area), and Region C (Jiangsu, Zhejiang, Shanghai, and adjacent seas). For each month from 2000 to 2022, ten time points are randomly selected as candidate No-TC samples.The selection of No-TC samples follows two constraints. First, if a tropical cyclone occurs in Region A during a given period while no cyclone activity is detected in Region B, samples may be selected from Region B. Second, sampling is excluded within three days before the onset and three days after the termination of any tropical cyclone lifecycle. For example, if a cyclone occurs in Region A on 2 August 2001, no samples are generated from that region within the \u00b13-day window, and sampling is shifted to Region B or Region C.ERA5 reanalysis grid data are then retrieved for all selected samples. Six key meteorological variables representing the dynamical and thermodynamical structures of tropical cyclones are extracted: mean sea level pressure (MSL), maximum wind speed (i10fg), mean wind speed (10fg), 850-hPa relative vorticity (Vo850), 300-hPa temperature (t300), and 500-hPa temperature (t500). These variables are merged in the above order and stored in NumPy (.npy) format.The resulting dataset is suitable for studies on residual system identification, tropical cyclone lifecycle classification, and data-driven prediction of remnant low systems using reanalysis data."
DOI: 10.15468/dl.ra6geh
title: Occurrence Download

description: A dataset containing 2631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((64.36086 6.23654,145.63914 6.23654,145.63914 38.76346,64.36086 38.76346,64.36086 6.23654))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Microhierax melanoleucos"
 ]
}

 The dataset includes 2631 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067607-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cgqxa
title: Occurrence Download

description: A dataset containing 2671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Microhierax melanoleucos"
 ]
}

 The dataset includes 2671 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067608-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnw8cw
title: Occurrence Download

description: A dataset containing 353635 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis"
 ]
}

 The dataset includes 353635 records from 1373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067600-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e241747
title: Akwa-Ibom State School of Nursing, Ituk-Mbang 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Akwa-Ibom State School of Nursing, Ituk-Mbang 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.34740/kaggle/dsv/14315730
title: AI vs Human Dataset
DOI: 10.5281/zenodo.18059887
title: AHEAD-RaBiE Supplementary materials

description: AHEAD-RaBiE is a research-oriented software platform designed to support enzyme engineering and catalytic system studies using artificial intelligence techniques. The platform integrates literature knowledge management, large language model (LLM) agents, and machine learning (ML) prediction models into a unified computational framework.
DOI: 10.6084/m9.figshare.30959453
title: <b>Supplementary Materials for:</b> <b>Iron isotopes tracing the role of hydrous fluids in formation of magmatic Ni-Cu sulfide deposits</b>

description: This dataset contains the geochemical data supporting the research article: <b>"Iron isotopes tracing the role of hydrous fluids in formation of magmatic Ni-Cu sulfide deposits".</b>The dataset includes both the tables from the main text and the supplementary materials:<b>Main_Text_Tables 1-3:</b> Data tabulated in the main text, including standard reference material values and iron isotopic compositions.<b>Supplementary Table S1:</b> Major element compositions of rock-forming minerals (silicates and oxides).<b>Supplementary Table S2:</b> Major element compositions of ore minerals (sulfides).All data are provided in compliance with open science data availability requirements.
DOI: 10.6084/m9.figshare.30959453.v2
title: <b>Supplementary Materials for:</b> <b>Iron isotopes tracing the role of hydrous fluids in formation of magmatic Ni-Cu sulfide deposits</b>

description: This dataset contains the geochemical data supporting the research article: <b>"Iron isotopes tracing the role of hydrous fluids in formation of magmatic Ni-Cu sulfide deposits".</b>The dataset includes both the tables from the main text and the supplementary materials:<b>Main_Text_Tables 1-3:</b> Data tabulated in the main text, including standard reference material values and iron isotopic compositions.<b>Supplementary Table S1:</b> Major element compositions of rock-forming minerals (silicates and oxides).<b>Supplementary Table S2:</b> Major element compositions of ore minerals (sulfides).All data are provided in compliance with open science data availability requirements.
DOI: 10.6084/m9.figshare.30959453.v1
title: <b>Supplementary Materials for:</b> <b>Iron isotopes tracing the role of hydrous fluids in formation of magmatic Ni-Cu sulfide deposits</b>

description: This dataset contains Supplementary Table S1 (Major element compositions of rock-forming minerals) and Table S2 (Major element compositions of ore minerals) associated with the manuscript "<b>Iron isotopes tracing the role of hydrous fluids in formation of magmatic Ni-Cu sulfide deposits</b>" submitted to Geochimica et Cosmochimica Acta.
DOI: 10.15468/dl.upbmts
title: Occurrence Download

description: A dataset containing 25716988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-101.60071 19.92873,-95.18189 15,-92.91571 13.2599,-89.00384 10,-83.00384 5,-81.9812 4.16028,-80.71172 2.85729,-79.87741 1.72264,-79.22616 0.57791,-78.87238 -0.20593,-78.46479 -1.38117,-77.84459 -3.48495,-77.36177 -4.85961,-76.59513 -6.74278,-75.8023 -8.42222,-75.0024 -9.91899,-74.23428 -11.21322,-73.10208 -12.9213,-72.03246 -14.3605,-70.47875 -16.21239,-69.75009 -17.77677,-69.23365 -19.25097,-68.88393 -20.63863,-68.64119 -22.17065,-68.55904 -23.20533,-68.59332 -25.33444,-68.7498 -26.63602,-69.05587 -28.11208,-69.45827 -29.45123,-70.2886 -31.42389,-71.49898 -35,-73.19129 -40,-74.47177 -43.78324,-74.44116 -44.6695,-74.29458 -45.58058,-73.92883 -46.73458,-73.30626 -47.9211,-72.67538 -48.75436,-71.5009 -49.82781,-70.54403 -50.41808,-69.59619 -50.82312,-67.90797 -51.18845,-66.67587 -51.19884,-64.91286 -50,-61.92228 -47.9664,-58.27784 -45,-53.74609 -41.31137,-52.25154 -39.78188,-51.33538 -38.60975,-50.19183 -36.75163,-49.54988 -35.38554,-49.0719 -34.08028,-48.63013 -32.38894,-48.44576 -31.3076,-48.31644 -29.92361,-48.30126 -28.64221,-48.42207 -27.05058,-49.1985 -25,-51.09171 -20,-52.98491 -15,-54.87812 -10,-55.83768 -7.46578,-57.31029 -5,-60.2964 0,-63.28251 5,-64.01386 6.22458,-67.64945 10,-68.9576 11.35846,-71.66274 15,-73.90134 18.01349,-75.49054 20,-79.23779 24.68406,-101.60071 19.92873))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Passeriformes",
 "Year 2015-2020"
 ]
}

 The dataset includes 25716988 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067606-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17041484
title: Data for `OTOC functions for the localized f electrons in the Falicov-Kimball model'

description: Data files and gnuplot scripts for creating figures for the article Out-of-time ordered correlation functions for the localized f electrons in the Falicov-Kimball model by A. M. Shvaika and J. K. Freericks https://arxiv.org/abs/2508.21388

fDOS --- Figs. 1 and 2; fOTOC --- Figs. 4, 5, 6, and A.6; winding ---- Figs. A.1, A.2, A.3, A.4, and A.5.
DOI: 10.5281/zenodo.17041485
title: Data for `OTOC functions for the localized f electrons in the Falicov-Kimball model'

description: Data files and gnuplot scripts for creating figures for the article Out-of-time ordered correlation functions for the localized f electrons in the Falicov-Kimball model by A. M. Shvaika and J. K. Freericks https://arxiv.org/abs/2508.21388

fDOS --- Figs. 1 and 2; fOTOC --- Figs. 4, 5, 6, and A.6; winding ---- Figs. A.1, A.2, A.3, A.4, and A.5.
DOI: 10.3886/e241775
title: Anambra State College Of Nursing Sciences, Amichi 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Anambra State College Of Nursing Sciences, Amichi 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.3886/e241776
title: Anambra State School of Nursing Nkpor 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Anambra State School of Nursing Nkpor 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.15468/cbpjnr
title: A new species of the ant-like stone beetle genus Monstrophennium Jałoszyński, 2012 (Coleoptera: Staphylinidae: Scydmaeninae) from Colombia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tulande-M, Esteban, Ramírez-Salamanca, Jose-M, Fagua, Giovanny (2025): A new species of the ant-like stone beetle genus Monstrophennium Jałoszyński, 2012 (Coleoptera: Staphylinidae: Scydmaeninae) from Colombia. Zootaxa 5686 (4): 595-600, DOI: 10.11646/zootaxa.5686.4.9, URL: https://doi.org/10.11646/zootaxa.5686.4.9AbstractA new Neotropical species of Monstrophennium Jałoszyński is described: Monstrophennium bachue Tulande-M, Ramírez-Salamanca & Fagua, sp. nov. Until now, the only known species and record of this genus was Monstrophennium spinicolle (Schaufuss, 1866), described 158 years ago. This study provides the first new record of Monstrophennium since its original description, expanding the known diversity of the genus. Diagnostic characters, including the aedeagus, are illustrated and discussed.
DOI: 10.15468/3ab36v
title: Typification of the Linnaean name Hemerocallis liliastrum

description: This dataset contains the digitized treatments in Plazi based on the original journal article Peruzzi, Lorenzo (2025): Typification of the Linnaean name Hemerocallis liliastrum. Italian Botanist 20: 41-44, DOI: 10.3897/italianbotanist.20.170416AbstractThe typification of the Linnaean name Hemerocallis liliastrum, basionym of Paradisea liliastrum, is discussed. Original materials consist of three herbarium specimens (two part of the Adriaan van Royen Herbarium at L, the third included in Linnaeus Herbarium at LINN) and two illustrations published by Dalechamps and Clusius. The specimen in LINN is designated as the lectotype. The type choice maintains the present usage of the Linnaean name.
DOI: 10.15468/zt5am7
title: Brain anatomy of the Cambrian fossil Jianfengia multisegmentalis informs euarthropod phylogeny

description: This dataset contains the digitized treatments in Plazi based on the original journal article Strausfeld, Nicholas J., Andrew, David R., Hou, Xianguang, Hirth, Frank (2025): Brain anatomy of the Cambrian fossil Jianfengia multisegmentalis informs euarthropod phylogeny. Nature Communications 16 (1): 7938, DOI: 10.1038/s41467-025-62849-w, URL: https://doi.org/10.1038/s41467-025-62849-w
DOI: 10.15468/5r7c67
title: The natural history and head and shoulder anatomy of Cornufer guentheri (Anura, Ceratobatrachidae), a casque-headed frog of the Solomon Islands

description: This dataset contains the digitized treatments in Plazi based on the original journal article Menzies, James, Parker, Fred (2018): The natural history and head and shoulder anatomy of Cornufer guentheri (Anura, Ceratobatrachidae), a casque-headed frog of the Solomon Islands. Alytes 35 (1 - 4): 17-38, DOI: 10.5281/zenodo.17077967
DOI: 10.15468/n5qmfn
title: Taxonomy and phylogeny of Myxobolus branchiostegi sp. nov. (Myxozoa, Myxosporea) infecting the gallbladder of Branchiostegus argentatus Cuvier, 1830 from the East China Sea

description: This dataset contains the digitized treatments in Plazi based on the original journal article Xiong, Yalin, Zhao, Yuanjun, Chen, Xue, Wang, Mao, Peng, Jianjun, Cui, Xiaojuan, Yang, Chengzhong (2025): Taxonomy and phylogeny of Myxobolus branchiostegi sp. nov. (Myxozoa, Myxosporea) infecting the gallbladder of Branchiostegus argentatus Cuvier, 1830 from the East China Sea. Zoosystematics and Evolution 101 (4): 2357-2367, DOI: 10.3897/zse.101.170695AbstractMyxobolus branchiostegi sp. nov. was detected in the gallbladder of six out of 28 specimens (21.4 %) of Branchiostegus argentatus Cuvier, 1830 from the East China Sea. This is the first record of a Myxobolus species infecting this host. Mature myxospores of the new species were oval in valvular view, measuring 9.21 ± 0.52 µm (8.3–9.8 µm) in length and 7.40 ± 0.60 µm (6.2–8.0 µm) in width. Two equal, pyriform polar capsules measured 4.40 ± 0.34 µm (3.7–4.8 µm) in length and 2.58 ± 0.17 µm (2.3–2.9 µm) in width, each possessing polar tubules with 4–6 turns. Phylogenetic analysis, based on small subunit ribosomal RNA gene (SSU rDNA) sequences placed the new species within the family Myxobolidae, as a sister to Myxobolus iwagiensis Kawano et al., 2025. Further analysis suggested a possible trend that the clustering of Myxobolidae species may be influenced by the taxonomic affinity of their fish hosts, with closely-related parasites tending to infect hosts within the same order. Host aquatic habitat (marine, brackish-water or freshwater) and species geographic distribution may also contribute to the observed clustering patterns.