cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28024910
title: Anisotropic Skyrmion and Multi-<i>q </i>Spin Dynamics in Centrosymmetric Gd<sub>2</sub>PdSi<sub>3</sub>: Data and Code

description: Data and code from the paper: M. Gomilšek <i>et al.</i>, Anisotropic Skyrmion and Multi-<i>q</i> Spin Dynamics in Centrosymmetric Gd<sub>2</sub>PdSi<sub>3</sub>, Phys. Rev. Lett. <b>134</b>, 046702 (2025). Please refer to the paper for more information.Within the zipped file, data and code are organized into folders by figure names.File formats:*.py ... Python script file<br>*.dat, [no extension] ... ASCII data file. Specifically, ZFC_*.dat are Quantum Design MPMS3 measurement data files<br>*.oggu, *.opju ... OriginPro 2021 files (window and project files, respectively; https://www.originlab.com/)<br>*.png ... PNG image file<br>*.fit, *.mgp ... WiMDA files (fit and detector-grouping files, respectively; http://shadow.nd.rl.ac.uk/wimda/)<br>*.txt, *.out ... ASCII text file<br>*.rtf ... Rich text format file<br>*.tgz ... Compressed tar gzip file<br>*.zip ... Compressed zip file<br>*.docx ... Microsoft Word file (https://www.microsoft.com/en-us/microsoft-365/word)<br>*.mon ... Temperature monitor data from the Paul Scherrer Institute (PSI) Swiss Muon Source (SmuS) (GPS and HAL-9500 instruments)<br>*.pptx ... Microsoft PowerPoint presentation (https://www.microsoft.com/en-us/microsoft-365/powerpoint/)<br>*.pkl ... Python pickle format. Specifically, the saved state of MuFinder (https://gitlab.com/BenHuddart/mufinder/)<br>*.cif ... crystallographic information file<br>*.vesta ... VESTA crystal visualization file (https://jp-minerals.org/vesta/en/)<br>*.castep, *.cell ... CASTEP 22.1 output files (main output files and final crystal geometry files, respectively; https://www.castep.org/)<br>*.nb ... Wolfram Mathematica 13.0 notebook (https://www.wolfram.com/mathematica/)<br>File formats within compressed files:*.ascii, *.bin ... Raw muon measurement data from the Paul Scherrer Institute (PSI) Swiss Muon Source (SmuS) (GPS instrument)<br>*.log, *.nxs, *.nxs_v2, *.RAW ... Raw muon measurement data from the ISIS pulsed muon source (HiFi instrument)<br>*.mdu ... Raw muon measurement data from the Paul Scherrer Institute (PSI) Swiss Muon Source (SmuS) (HAL-9500 instrument)
DOI: 10.5281/zenodo.13365876
title: NMR raw data of the work "Auto-Relay Catalysis for the Oxidative Carboxylation of Alkenes into Cyclic Carbonates by a MOF Catalyst"

description: Raw NMR data for the article "Auto-Relay Catalysis for the Oxidative Carboxylation of Alkenes into Cyclic Carbonates by a MOF Catalyst"

The raw NMR data files for all compounds reported in the article are included. The numbering corresponds to those in the article.

Each parent folder contains subfolders with different files. In order to process this data, the full parent folder must be dragged into either Mestrenova or Topspin and then the data is automatically processed. If the name of the raw data files are renamed, the software (Mestrenova or Topspin) will not be able to process the files. 
description: This data support the supplementary information of the article entitled  "Auto-Relay Catalysis for the Oxidative Carboxylation of Alkenes into Cyclic Carbonates by a MOF Catalyst" published in Green Chemistry 2025 with  DOI: 10.1039/D4GC06360K.
DOI: 10.5281/zenodo.13365877
title: NMR raw data of the work "Auto-Relay Catalysis for the Oxidative Carboxylation of Alkenes into Cyclic Carbonates by a MOF Catalyst"

description: Raw NMR data for the article "Auto-Relay Catalysis for the Oxidative Carboxylation of Alkenes into Cyclic Carbonates by a MOF Catalyst"

The raw NMR data files for all compounds reported in the article are included. The numbering corresponds to those in the article.

Each parent folder contains subfolders with different files. In order to process this data, the full parent folder must be dragged into either Mestrenova or Topspin and then the data is automatically processed. If the name of the raw data files are renamed, the software (Mestrenova or Topspin) will not be able to process the files. 
description: This data support the supplementary information of the article entitled  "Auto-Relay Catalysis for the Oxidative Carboxylation of Alkenes into Cyclic Carbonates by a MOF Catalyst" published in Green Chemistry 2025 with  DOI: 10.1039/D4GC06360K.
DOI: 10.25919/7krb-am38
title: Parkes observations for project P1032 semester 2024OCTS_02

description: With this proposal, we aim to continue P1032, the rapid measurements of relativistic parameters of southern binary pulsar systems using data from the Parkes Ultra Wideband Low (UWL) receiver. As the MeerTime project at the MeerKAT radio telescope ended in early 2024, observations with the UWL receiver now form the backbone for extending the timing baselines of many pulsars that have been part of this project. Since the source selection in APRS2024 was tailored such that the UWL receiver is the most (versatile and) suited instrument to achieve the proposed scientific goals for the chosen pulsars, we propose to continue these observations. We will use the UWL data to obtain significant orbital coverage and timing baselines on these pulsars and obtain important constraints on orbital and temporal DM variations that will help in identifying the nature of the companion stars. Increasing the number of measured Neutron Star (NS) masses, as well as improving on current constraints has profound implications for NS internal structure and for stellar and binary evolution physics. We request pre-graded status for this project for the next semester.
DOI: 10.17632/tzv5wc3dtt
title: A Massive Multiple Categories Dataset for Arabic News Classification

description: A very big Arabic news dataset that consists of around 670K news articles.  This Arabic dataset is very huge that makes it the largest available Arabic news dataset.  The dataset comes in 10 different categories:  business, entertainment, health, science, sport, technology, tech-science, world, politics, and culture.  The dataset was crawled from around817  different news sources. Such huge dataset can be applied in different natural Language Processing (NLP) applications.
DOI: 10.15468/dl.km364y
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Belostomatidae)",
 "HasCoordinate is true",
 "Geometry POLYGON Z ((-76.94773 -7.019439 0, -75.65638 -9.217269 0, -74.60659 -11.36341 0, -72.62492 -12.17027 0, -70.08106 -13.20639 0, -68.06588 -14.07248 0, -64.81878 -16.17416 0, -62.42702 -14.76403 0, -59.85129 -13.46308 0, -54.64092 -13.11516 0, -52.08968 -12.07248 0, -51.56322 -10.52462 0, -50.11476 -7.079689 0, -48.5913 -4.978484 0, -47.71029 -1.933025 0, -50.61671 0.1139895 0, -51.17871 2.644518 0, -52.75812 4.793947 0, -57.2258 5.909831 0, -60.497 8.309687 0, -61.03748 7.015231 0, -60.27879 4.950195 0, -61.18416 3.13392 0, -64.67449 7.185821 0, -65.45267 7.214116 0, -69.01688 4.232701 0, -76.37462 0.4326462 0, -78.06017 -3.824135 0, -78.37364 -4.319071 0, -76.94773 -7.019439 0))"
 ]
}

 The dataset includes 292 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010804-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/967bkgr5tx
title: Plume Generated by Different Electrosurgical Techniques: An In Vitro Experiment on Human Skin Supplementary Tables

description: Supplemental Tables for "Plume Generated by Different Electrosurgical Techniques: An In Vitro Experiment on Human Skin"
DOI: 10.5281/zenodo.14276369
title: A spatial transcriptomics atlas of live donors reveals unique zonation patterns in the healthy human liver

description: We performed spatial transcriptomics (10x Visium) on 16 adult human liver samples: eight from young live healthy donors (marked as 'M') and eight from patients with liver pathology, sampling ‘adjacent normal’ tissue (marked as 'P') to generate a spatial expression atlas of the adult human liver.

To compare human zonation profiles to those in other mammals we also assembled a dataset of spatial transcriptomics of 3 additional mammalian species with body sizes and metabolic rates more comparable to human: wild boar (n=2. marked as 'non+human_P'), cow (n=2. marked as 'non+human_C'), and domesticated pig (n=3. marked as 'non+human_PD'). 

For human Visium samples (n=16. M1, M2, M3, M4, M5, M6, M7, M8, P2, P3, P6, P7, P14, P17, P18 and P21) and non-human Visium samples (n=7. C1, C2, P1, P2, PD1, PD2 and PD3) the following files were uploaded:

Metadata:

Human samples metadata file.

Non-human metadata file.

For each sample individually:

counts_ALL.csv

counts_UTT.csv

scalefactors_json.json

tissue_hires_image.png

tissue_positions_list.csv

cloupe file

filtered_feature_bc_matrix.h5

raw_feature_bc_matrix.h5
DOI: 10.5281/zenodo.14795270
title: A spatial transcriptomics atlas of live donors reveals unique zonation patterns in the healthy human liver

description: We performed 10x Visium spatial transcriptomics on 16 adult human liver samples: eight from young, healthy, living donors (marked as 'M') and eight from patients with liver pathology, where we sampled ‘adjacent normal’ tissue (marked as 'P') to construct a spatial expression atlas of the adult human liver. To achieve higher spatial resolution, we also applied high-definition Visium HD measurements to two liver sections from young, healthy, living donors (M2 and M6).

To compare human liver zonation profiles with those of other mammals, we assembled a spatial transcriptomics dataset from three additional mammalian species with body sizes and metabolic rates more comparable to human: wild boar (n=2. marked as 'non+human_P'), cow (n=2. marked as 'non+human_C'), and domesticated pig (n=3. marked as 'non+human_PD'). 

For human Visium samples (n=16. M1, M2, M3, M4, M5, M6, M7, M8, P2, P3, P6, P7, P14, P17, P18 and P21) and non-human Visium samples (n=7. C1, C2, P1, P2, PD1, PD2 and PD3) the following files were uploaded:

Metadata:

Human samples metadata file.

Non-human metadata file.

For each Visium sample individually:

counts_ALL.csv

counts_UTT.csv

scalefactors_json.json

tissue_hires_image.png

tissue_positions_list.csv

cloupe file

filtered_feature_bc_matrix.h5

raw_feature_bc_matrix.h5

For M2 and M6 Visium HD samples:

cloupe file
DOI: 10.5281/zenodo.14795740
title: A spatial transcriptomics atlas of live donors reveals unique zonation patterns in the healthy human liver

description: We performed 10x Visium spatial transcriptomics on 16 adult human liver samples: eight from young, healthy, living donors (marked as 'M') and eight from patients with liver pathology, where we sampled ‘adjacent normal’ tissue (marked as 'P') to construct a spatial expression atlas of the adult human liver. To achieve higher spatial resolution, we also applied high-definition Visium HD measurements to two liver sections from young, healthy, living donors (M2 and M6).

To compare human liver zonation profiles with those of other mammals, we assembled a spatial transcriptomics dataset from three additional mammalian species with body sizes and metabolic rates more comparable to human: wild boar (n=2. marked as 'non+human_P'), cow (n=2. marked as 'non+human_C'), and domesticated pig (n=3. marked as 'non+human_PD'). 

For human Visium samples (n=16. M1, M2, M3, M4, M5, M6, M7, M8, P2, P3, P6, P7, P14, P17, P18 and P21) and non-human Visium samples (n=7. C1, C2, P1, P2, PD1, PD2 and PD3) the following files were uploaded:

Metadata:

Human samples metadata file.

Non-human metadata file.

For each Visium sample individually:

counts_ALL.csv

counts_UTT.csv

scalefactors_json.json

tissue_hires_image.png

tissue_positions_list.csv

cloupe file

filtered_feature_bc_matrix.h5

raw_feature_bc_matrix.h5

For M2 and M6 Visium HD samples:

cloupe file
DOI: 10.5281/zenodo.14783760
title: A spatial transcriptomics atlas of live donors reveals unique zonation patterns in the healthy human liver

description: We performed 10x Visium spatial transcriptomics on 16 adult human liver samples: eight from young, healthy, living donors (marked as 'M') and eight from patients with liver pathology, where we sampled ‘adjacent normal’ tissue (marked as 'P') to construct a spatial expression atlas of the adult human liver. To achieve higher spatial resolution, we also applied high-definition Visium HD measurements to two liver sections from young, healthy, living donors (M2 and M6).

To compare human liver zonation profiles with those of other mammals, we assembled a spatial transcriptomics dataset from three additional mammalian species with body sizes and metabolic rates more comparable to human: wild boar (n=2. marked as 'non+human_P'), cow (n=2. marked as 'non+human_C'), and domesticated pig (n=3. marked as 'non+human_PD'). 

For human Visium samples (n=16. M1, M2, M3, M4, M5, M6, M7, M8, P2, P3, P6, P7, P14, P17, P18 and P21) and non-human Visium samples (n=7. C1, C2, P1, P2, PD1, PD2 and PD3) the following files were uploaded:

Metadata:

Human samples metadata file.

Non-human metadata file.

For each Visium sample individually:

counts_ALL.csv

counts_UTT.csv

scalefactors_json.json

tissue_hires_image.png

tissue_positions_list.csv

cloupe file

filtered_feature_bc_matrix.h5

raw_feature_bc_matrix.h5

For M2 and M6 Visium HD samples:

cloupe file
DOI: 10.17632/v8c7282nm7
title: Inflammatory bowel disease and rosacea: A systematic review and meta-analysis - Supplementary Material

description: Supplemental file for Research Letter on the association between IBD and rosacea
DOI: 10.17632/fdpxmn5pjx
title: Variation in cross-sectional indicator of femoral robusticity in Homo sapiens and Neandertals - Dataset

description: Variations in the cross-sectional properties of long bones between Homo sapiens and Neandertals are used to reconstruct the activity of these groups and differences in their respective habitual behaviors. However, knowledge of what factors influence bone structure in these two hominin groups is still insufficient. The main aim of this study was to investigate which biological and environmental variables influence variations in the femoral robusticity indicator of H. sapiens and Neandertals. The sample consisted of 13 adult Neandertals from the Middle Paleolithic and 1959 adult individuals of H. sapiens from the Upper Paleolithic to recent times. The femoral biomechanical properties were derived from the European data set, the subject literature, and osteological collections scanned for the first time. The material was tested for spatial autocorrelation using a Mantel test. A generalized additive mixed model (GAMM) and a linear mixed model (LMM) were calculated for H. sapiens and Neandertals, respectively. In the proposed models, the polar moment of area (J) was the dependent variable; sex, age, chronological period, type of lifestyle, percentage of cortical area (%CA), the ratio of second moment areas of inertia about the X and Y axes(Ix/Iy), and maximum slope of the terrain were independent covariates. The Mantel tests revealed spatial autocorrelation of the femoral index in H. sapiens but not in Neandertals. The GAMM showed that sex, %CA, Ix/Iy, chronological period, and terrain significantly influenced variation in the robusticity indicator of H. sapiens femora. The LMM revealed that none of the analyzed variables influenced the femoral robusticity indicator of Neandertals. We did not confirm that the gradual decline in the femoral robusticity indicator of H. sapiens is related to type of lifestyle; however, it may be associated with lower levels of mechanical loading during adolescence. No influence of variables on the femoral robusticity indicator of Neandertals would suggest that their lower limbs were less sensitive to reductions in mechanical loading than the long bones of H. sapiens. Thus, differences in the femoral biomechanical properties between Neandertals and H. sapiens may be due to different levels of developmental plasticity characterizing these two hominin groups.
DOI: 10.15468/dl.h9snxv
title: Occurrence Download

description: A dataset containing 6175482 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, speciesKey, species, family, COUNT(*) AS n, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, IF(ISNULL(family), NULL, SUM(COUNT(*)) OVER (PARTITION BY family)) AS familyCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND countryCode = 'BE' AND "year" &gt;= 2007 AND speciesKey IS NOT NULL AND decimalLatitude IS NOT NULL AND decimalLongitude IS NOT NULL AND class = 'Aves' AND collectionCode != 'ABV' GROUP BY "year", eeaCellCode, speciesKey, family, species ORDER BY "year" ASC, eeaCellCode ASC, speciesKey ASC 

 The dataset's 6175482 records were derived from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010791-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m829d7w566
title: Association of cutaneous melanoma with risk of subsequent non-cutaneous malignancies 

description: Nowadays, the 5-year relative survival rate for melanoma is over 60%. Concerns regarding second primary malignancies (SPM) have emerged during follow-up. The aim of this meta-analysis is to investigate site-specific risks of subsequent non-cutaneous malignancies in melanoma survivors. Supplemental files for this meta-analysis were attached.
DOI: 10.17632/cxz323gxf9
title: Supplemental figure for JAAD publication entitled - Billing patterns amongst dermatopathologists from 2013 to 2017: A longitudinal cross-sectional study

description: Supplemental Figure 1. Pathology code billing behavior amongst dermatopathologists. Comparison of pathology code billing in the context of E&M (99202-99205 and 99212-99215) codes. Proportions were calculated by dividing the service code count of pathology codes by the sum of the service code count for pathology and E&M codes. Puerto Rico was excluded from the analysis given low number of providers. P-values determined via pairwise Kruskall-Wallis tests with post-hoc Bonferroni correction. ****: <0.0001; ***: <0.001, **: <0.01, *: <0.05.
DOI: 10.5281/zenodo.13908467
title: The effect of imbrication on the porosity value of non-uniform gravel-bed: a case study from the Buëch River, France
DOI: 10.5281/zenodo.13908468
title: The effect of imbrication on the porosity value of non-uniform gravel-bed: a case study from the Buëch River, France
DOI: 10.5066/p14wwhoj
title: Data to Support Analyses of Shoreline Seasonal Cycles for Beaches of California

description: Coastal shorelines commonly have recurring patterns of retreat and recovery that are related to annual patterns in wave climate. To assist with investigations of these seasonal cycles, we have analyzed shoreline position and wave data for the beaches of California to generate a series of metrics that describe the magnitude and timing of seasonal patterns of the shoreline and offshore wave climate. These data should be useful for science researchers, students, policy makers, and the public. The data can be used with geographic information systems or other software to help identify characteristics and patterns in California’s shoreline.

The seasonal cycles in California’s shoreline were derived from time-series analyses of shoreline position data from the CoastSat technique (Vos, 2023). The analyses used to describe seasonal cycles include Seasonal Trend decomposition with LOESS (STL; Cleveland and others, 1990), spectral analyses, and unsupervised clustering. These techniques were applied to 7777 transects from California’s beaches that captured shoreline patterns during 2000-2022. In addition to these shoreline seasonality metrics, we also provide several geographic metrics, including location, shoreline orientation, beach slope, back-beach location, and beach width for each transect.

In addition, we provide synthesis data of the offshore wave conditions for sites directly offshore of the 7777 beach transects. Monthly wave characteristics were derived from the 2000-2022 data provided by the Coastal Data Information Program [CDIP, https://cdip.ucsd.edu] hindcast analysis.

References Cited
Cleveland R.B., Cleveland W.S., McRae J.E., Terpenning I., 1990, STL: A seasonal-trend decomposition procedure based on loess. Journal of Official Statistics, 6:3–73

Vos, K., 2023, Time-series of shoreline change along the Pacific Rim (v1.4) [Data set]. Zenodo, doi: 10.5281/zenodo.7758183
DOI: 10.17632/ck7mhf82br.3
title: A detailed quantification of larval zebrafish behavioral repertoire uncovers principles of hunting behavior

description: A draft for a manuscript
DOI: 10.17632/679tsg2c63.1
title: The return of the Caracal Caracal caracal: 56 Years of Population Changes in Israel

description: Long-term data on the population numbers of caracals in Israel.
DOI: 10.17632/ck7mhf82br.4
title: A detailed quantification of larval zebrafish behavioral repertoire uncovers principles of hunting behavior

description: A draft for a manuscript
DOI: 10.17632/5nkskmn4wr.1
title: Landrace_springwheat_SE_2019-2021

description: A dataset from a splitplot RCB field experiment at two sites in Uppland (Krusenberg and Ekhaga), Sweden. The experiment was run 2019-2021 and compared three modern spring wheat varieties (WPB Skye, Quarna and Dacke) with 4 landraces (Ekhaga, Källunda, Ölands lantvete and Dala lantvete) under two levels of fertilisation. The experiment was organically managed.
DOI: 10.17632/czvr4cfvzm.1
title: MATLAB code for: Mass transfer resistances in mesoporous silica-alginate/chitosan encapsulated saccharomyces cerevisiae for high bioethanol production

description: MATLAB code used for modelling and simulation in the manuscript:
Mass transfer resistances in mesoporous silica-alginate/chitosan encapsulated saccharomyces cerevisiae for high bioethanol production