cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30023584.v1
title: Supplementary Material _ Oliveira, CS et al.

description: KEGG Pathway Database (Kanehisa, 2019; Kanehisa et al., 2025; Kanehisa & Goto, 2000) was used to collect genes on insulin signaling, lipid metabolism and inflammation pathways, underlying metabolic disorders common to Alzheimer's Disease and obesity. The prefix “hsa” was selected for human data, and three search terms were inserted: “inflammation”, “insulin” or “lipid”. The pathways with general descriptions surrounding the search terms were selected <b>(Supplementary Material 1)</b>, and the section “Gene” was exported manually. Pathways with descriptions surrounding specific diseases or molecules were excluded, as well as duplicate genes, resulting in a total of 1879 genes <b>(Supplementary Material 2).</b>A list of genes constituting the network of insulin signaling, lipid metabolism and inflammation pathways was used as entries in the miRWalk database (Sticht et al., 2018) to obtain all miRNAs predicted to interact with the sequences of these genes. The prediction score of 1.0 (highest confidence) was set as a filter, resulting in a total of 1786 miRNA sequences <b>(Supplementary Material 3)</b>.To cover all miRNAs likely to be involved in metabolic disorders common to AD and obesity, another database was accessed, in which it is possible to insert search terms. Thus, The Human microRNA Disease Database (HMDD) v4.0 (Cui et al., 2024) was used to access miRNA sequences via disease descriptors (‘obesity’ and ‘Alzheimer’s disease’), allowing the identification of miRNAs related to obesity and Alzheimer’s disease in a general manner. There were 422 miRNAs related to obesity and 779 to Alzheimer's disease; these two lists were overlapped, and we were able to identify 113 of them that were common between both conditions <b>(Supplementary Material 4).</b>Common miRNAs between the list from miRWalk and the list from HMDD were used for the following analysis. We found 107 miRNAs common to these two lists <b>(Supplementary Material 5)</b>, indicating miRNAs associated both to the molecular pathways and the diseases in the study.In order to satisfactorily address the miRNAs-target gene relationships, two cutoff parameters were adopted through centrality analysis to obtain the most relevant target genes. Only genes with betweenness and degree values higher than the third quartile of both parameters were considered highly central to the network, and chosen to build the GRNs (n=206 — target genes with high centrality) <b>(Supplementary Material 6)</b>.Finally, Over-representation Analysis (ORA) was performed using KEGG and Reactome databases. Common genes indicated in categories of both analysis were identified (n=30 with p ≤ 0.00001 in KEGG and Reactome databases) <b>(</b><b>Supplementary</b><b> Marerial 7).</b>
DOI: 10.6084/m9.figshare.30023584
title: Supplementary Material _ Oliveira, CS et al.

description: KEGG Pathway Database (Kanehisa, 2019; Kanehisa et al., 2025; Kanehisa & Goto, 2000) was used to collect genes on insulin signaling, lipid metabolism and inflammation pathways, underlying metabolic disorders common to Alzheimer's Disease and obesity. The prefix “hsa” was selected for human data, and three search terms were inserted: “inflammation”, “insulin” or “lipid”. The pathways with general descriptions surrounding the search terms were selected <b>(Supplementary Material 1)</b>, and the section “Gene” was exported manually. Pathways with descriptions surrounding specific diseases or molecules were excluded, as well as duplicate genes, resulting in a total of 1879 genes <b>(Supplementary Material 2).</b>A list of genes constituting the network of insulin signaling, lipid metabolism and inflammation pathways was used as entries in the miRWalk database (Sticht et al., 2018) to obtain all miRNAs predicted to interact with the sequences of these genes. The prediction score of 1.0 (highest confidence) was set as a filter, resulting in a total of 1786 miRNA sequences <b>(Supplementary Material 3)</b>.To cover all miRNAs likely to be involved in metabolic disorders common to AD and obesity, another database was accessed, in which it is possible to insert search terms. Thus, The Human microRNA Disease Database (HMDD) v4.0 (Cui et al., 2024) was used to access miRNA sequences via disease descriptors (‘obesity’ and ‘Alzheimer’s disease’), allowing the identification of miRNAs related to obesity and Alzheimer’s disease in a general manner. There were 422 miRNAs related to obesity and 779 to Alzheimer's disease; these two lists were overlapped, and we were able to identify 113 of them that were common between both conditions <b>(Supplementary Material 4).</b>Common miRNAs between the list from miRWalk and the list from HMDD were used for the following analysis. We found 107 miRNAs common to these two lists <b>(Supplementary Material 5)</b>, indicating miRNAs associated both to the molecular pathways and the diseases in the study.In order to satisfactorily address the miRNAs-target gene relationships, two cutoff parameters were adopted through centrality analysis to obtain the most relevant target genes. Only genes with betweenness and degree values higher than the third quartile of both parameters were considered highly central to the network, and chosen to build the GRNs (n=206 — target genes with high centrality) <b>(Supplementary Material 6)</b>.Finally, Over-representation Analysis (ORA) was performed using KEGG and Reactome databases. Common genes indicated in categories of both analysis were identified (n=30 with p ≤ 0.00001 in KEGG and Reactome databases) <b>(</b><b>Supplementary</b><b> Marerial 7).</b>
DOI: 10.15468/dl.p3muje
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium tomentosum"
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015914-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76ane9
title: Occurrence Download

description: A dataset containing 23621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calyptocarpus vialis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23621 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015912-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17020088
title: Wildfire model benchmarking input files

description: This is the set of input files for the Farsite, Prometheus, ELMFIRE, EPD, EPD-ConvLSTM, and FDS LS wildfire spread models, to conduct a benchmarkign study. It is written by (Author 1) and (Author 2), (University), and it is based on the journal paper under review:

(Author 1), (Author 2), Benchmarking Wildfire Spread Models: Semi-Empirical, Machine Learning, and an Ensemble Approach, Fire Technology, 2025. (Under Review)

Contact authors at (Author 2) and (Author 2)Work funded by Engineering and Physical Sciences Research CouncilFile published under a Creative Commons license CC BY 4.0
DOI: 10.5281/zenodo.17020089
title: Wildfire model benchmarking input files

description: This is the set of input files for the Farsite, Prometheus, ELMFIRE, EPD, EPD-ConvLSTM, and FDS LS wildfire spread models, to conduct a benchmarkign study. It is written by (Author 1) and (Author 2), (University), and it is based on the journal paper under review:

(Author 1), (Author 2), Benchmarking Wildfire Spread Models: Semi-Empirical, Machine Learning, and an Ensemble Approach, Fire Technology, 2025. (Under Review)

Contact authors at (Author 2) and (Author 2)Work funded by Engineering and Physical Sciences Research CouncilFile published under a Creative Commons license CC BY 4.0
DOI: 10.15468/dl.q6ttb3
title: Occurrence Download

description: A dataset containing 281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Cynomys mexicanus"
 ]
}

 The dataset includes 281 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015915-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13012/b2idb-9863969_v1
title: Illinois and Wisconsin Chronic Wasting Disease (CWD) Apparent Prevalence Data FY2003-2022

description: Chronic wasting disease (CWD) surveillance data from Illinois and Wisconsin, USA between the fiscal years 2003 and 2022 (calendar years 2002 and 2021). Data is reported at the township level as defined by the US Public Survey System. CWD cases, animals tested for CWD, and the apparent prevalence calculated from these values are given by township and fiscal year. Data has been anonymized by replacing original township names with identification numbers to maintain the privacy of landowners. Variables include Tests, Cases, and nonlinear transformations of Tests and Cases (inverse, square root, and log transformations).
DOI: 10.6084/m9.figshare.30020893
title: Data for "Long-time storage of a decoherence-free subspace logical qubit in a dual-type quantum memory"

description: Here we report a multi-ion quantum memory in a cryogenic trap based on the dualtype scheme, and demonstrate a coherence time above two hours for a logical qubit encoded in the decoherence-free subspace, i.e. two-ion entangled states, after correcting the dominant leakage error. Our scheme alleviates the necessity of an ultra-stable frequency reference for the stored qubit, and has a preferable scalability owing to the same mass of the metastable-state memory ions and the ground-state coolant ion. We also identify the origin of the leakage error to the nearby Zeeman<br>levels as the collision between the ions and the background gas molecules at a time scale of hundreds of seconds.<br><br>
DOI: 10.6084/m9.figshare.30020893.v2
title: Data for "Long-time storage of a decoherence-free subspace logical qubit in a dual-type quantum memory"

description: Here we report a multi-ion quantum memory in a cryogenic trap based on the dualtype scheme, and demonstrate a coherence time above two hours for a logical qubit encoded in the decoherence-free subspace, i.e. two-ion entangled states, after correcting the dominant leakage error. Our scheme alleviates the necessity of an ultra-stable frequency reference for the stored qubit, and has a preferable scalability owing to the same mass of the metastable-state memory ions and the ground-state coolant ion. We also identify the origin of the leakage error to the nearby Zeeman<br>levels as the collision between the ions and the background gas molecules at a time scale of hundreds of seconds.<br><br>
DOI: 10.6084/m9.figshare.30020893.v1
title: data_Long-time storage of a decoherence-free subspace.zip

description: Here we report a multi-ion quantum memory in a cryogenic trap based on the dualtype scheme, and demonstrate a coherence time above two hours for a logical qubit encoded in the decoherence-free subspace, i.e. two-ion entangled states, after correcting the dominant leakage error. Our scheme alleviates the necessity of an ultra-stable frequency reference for the stored qubit, and has a preferable scalability owing to the same mass of the metastable-state memory ions and the ground-state coolant ion. We also identify the origin of the leakage error to the nearby Zeeman<br>levels as the collision between the ions and the background gas molecules at a time scale of hundreds of seconds.<br><br>
DOI: 10.15468/dl.du3v2j
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncosiphon suffruticosus",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 266 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015916-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvhp4r
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , Corydalis yanhusuo, , , , , Corydalis yanhusuo, , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((118 27,123 27,123 31.25,118 31.25,118 27))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015917-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30023617
title: The binding proteins of core CHMs compared with targeted therapies

description: The binding proteins of core Chinese herbal medicine (CHMs) compared with targeted therapies. Core CHMs were obtained from the randomized, placebo-controlled clinical trials about using integrative CHM for HER2-positive breast cancer.
DOI: 10.6084/m9.figshare.30023617.v1
title: The binding proteins of core CHMs compared with targeted therapies

description: The binding proteins of core Chinese herbal medicine (CHMs) compared with targeted therapies. Core CHMs were obtained from the randomized, placebo-controlled clinical trials about using integrative CHM for HER2-positive breast cancer.
DOI: 10.15468/dl.7aywn5
title: Occurrence Download

description: A dataset containing 15548 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacyclus clavatus"
 ]
}

 The dataset includes 15548 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015918-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnc8qj
title: Occurrence Download

description: A dataset containing 811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Mutatoderma mutatum"
 ]
}

 The dataset includes 811 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015919-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.avzhvn
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , Corydalis yanhusuo, , , , , Corydalis yanhusuo, , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((73 3,136 3,136 54,73 54,73 3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 74 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015920-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgq2x4
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , Corydalis yanhusuo, , , , , Corydalis yanhusuo, , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((73 3,136 3,136 54,73 54,73 3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 74 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015921-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30019459
title: Dataset

description: <pre>This repository provides the raw data, preprocessed files, and codes associated with the paper.</pre>
DOI: 10.6084/m9.figshare.30019459.v2
title: Dataset

description: <pre>This repository provides the raw data, preprocessed files, and codes associated with the paper.</pre>
DOI: 10.6084/m9.figshare.30019459.v1
title: Supplementary Data and Code for MOTE

description: <pre>This repository provides the raw data, preprocessed files, and codes associated with the paper "A Sub-nanolitre Optoelectronic Tetherless Microsystem for Chronic Neural Recording in Awake Mice ". It is intended as supplementary material to enable reproducibility and further exploration. Please follow "Readme.pdf" for detailed instructions.<br></pre><br>
DOI: 10.57680/asep.0638478
title: Dataset. Potential and limitations of strontium isotopic fingerprinting in wood

description: The strontium (Sr) data inventory comprises 1,031 measurements, including 887 previously published datasets and 144 newly developed records from diverse sites and geological materials across the Czech Republic, as detailed in Büntgen et al. (2025, Geophysical Research Letters). The compilation integrates information on sample type, rock classification, Sr isotope ratios (^87Sr/^86Sr), analytical uncertainties, and Sr, Rb, and Ba concentrations, together with bibliographic references. This dataset provides a robust baseline for assessing the spatial variability of Sr isotopes and supports applications in geology, archaeology, environmental science, and provenance studies.
DOI: 10.15468/dl.djufya
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culex torrentium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2024",
 "Geometry POLYGON((-25 70, 40 70, 40 35, -25 35, -25 70))"
 ]
}

 The dataset includes 95 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015922-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2p8sg7
title: CCDC 2481099: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Gernot Bauer, Dietrich Gudat|2025|CSD Communication|||
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.cc2p9045
title: CCDC 2481306: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Gernot Bauer, Dietrich Gudat|2025|CSD Communication|||
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.cc2p92y1
title: CCDC 2481393: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Gernot Bauer, Daniela Förster, Dietrich Gudat|2025|CSD Communication|||
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.cc2ny31s
title: CCDC 2470825: Experimental Crystal Structure Determination

description: Related Article: Faizan Ahmad|2025|CSD Communication|||
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: 10.5281/zenodo.10593909
title: Patterns in tern trophic diversity in a region experiencing rapid climate change

description: This record includes the raw data files used in all analyses described in the manuscript "Patterns in tern trophic diversity in a region experiencing rapid climate change". The analytical approach and R packages used in this manuscript are detailed in the methods section. No novel code or software was developed for this analysis.

The record includes the following files: 



A readme.txt file, which describes each data file, the source of the data in that file, and the contents of each column in that file

IsotopeData_TernTrophicDiversity.csv, which includes all of the isotope data used in this study 

ProvisioningData_TernTrophicDiversity.csv, which includes all of the provisioning data used in this study

PreyCodes_TernTrophicDiversity.csv, which includes a table of the prey codes used in the provisioning study

SSTData_TernTrophicDiversity.csv, which includes all of the sea surface temperature data used in this study 

TernFitnessCorrelations_TernTrophicDiversity.csv, which includes the data used to link stable isotope shifts and tern fitness metrics
DOI: 10.5281/zenodo.17020021
title: Patterns in tern trophic diversity in a region experiencing rapid climate change

description: This record includes the raw data files used in all analyses described in the manuscript "Patterns in tern trophic diversity in a region experiencing rapid climate change". The analytical approach and R packages used in this manuscript are detailed in the methods section. No novel code or software was developed for this analysis.

The record includes the following files: 



A readme.txt file, which describes each data file, the source of the data in that file, and the contents of each column in that file

IsotopeData_TernTrophicDiversity.csv, which includes all of the isotope data used in this study 

ProvisioningData_TernTrophicDiversity.csv, which includes all of the provisioning data used in this study

PreyCodes_TernTrophicDiversity.csv, which includes a table of the prey codes used in the provisioning study

SSTData_TernTrophicDiversity.csv, which includes all of the sea surface temperature data used in this study 

TernFitnessCorrelations_TernTrophicDiversity.csv, which includes the data used to link stable isotope shifts and tern fitness metrics
DOI: 10.15468/dl.fw47uz
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carpesium cernuum",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 55 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015923-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30023614
title: data.xlsx

description: Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.