cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6wtutv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alataspora budegassai Afonso-Dias, Kalavati, MacKenzie & MacKenzie, 2007",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019829-241126133413365/datasets/export for details.
DOI: 10.15468/dl.5qcp25
title: Occurrence Download

description: A dataset containing 3090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhamphocottus richardsonii Günther, 1874",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3090 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019828-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hb667u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((36.655 -1.903128, 36.655 -1.901667, 36.65305 -1.901667, 36.655 -1.903128))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019830-241126133413365/datasets/export for details.
DOI: 10.15468/dl.9gtpz2
title: Occurrence Download

description: A dataset containing 13080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Orobanche amethystea Thuill."
 ]
}

 The dataset includes 13080 records from 381 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019831-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10854822
title: Molecular and functional convergences associated with complex multicellularity in Eukarya - reproducibility package

description: The base directory "reproductibility/" stores both the raw data ("data/") and the code ("bin/") used to generate all results described in:

https://www.biorxiv.org/content/10.1101/2024.03.14.585020v1

It also provides the outputs (figures and R objects) produced when executing sequentially the R code ("results/").
DOI: 10.5281/zenodo.13885964
title: Molecular and functional convergences associated with complex multicellularity in Eukarya - reproducibility package

description: The base directory "reproductibility/" stores both the raw data ("data/") and the code ("bin/") used to generate all results described in:

https://www.biorxiv.org/content/10.1101/2024.03.14.585020v1

It also provides the outputs (figures and R objects) produced when executing sequentially the R code ("results/").
DOI: 10.5281/zenodo.14606104
title: Evaluating the performance of CE-QUAL-W2 version 4.5 sediment diagenesis model  (Manuscript related material: input data and source code)

description: This archive includes materials related to the manuscript Evaluating the Performance of the CE-QUAL-W2 Version 4.5 Sediment Diagenesis Model, such as the model code, pre-/post-processing scripts, and model input/output data. The contents are organized as follows:

i)       Model forcing datasets and scripts

Loadest: input files: est.inp; Calib.inp; control.inp; header.inp

                   executable files: loadest.exe;

                    Manual: Load Estimator (LOADEST) Manual.pdf

Support_Vector_Regressor: input files in folder input files

                   script: Torrão_SVR_hyper_run_py39.py (replace the input file name for each constituent in the script lines: data = pd.read_excel('Input_chla.xlsx', index_col=0, header=0) and dataR = pd.read_excel('unseen_chla.xlsx', index_col=0, header=0)       

XGboost: input files in folder input files

                   script: Torrão_XG_boost_hyper_run_py39.py (replace the input file name for each constituent in the script lines: data = pd.read_excel('Input_chla.xlsx', index_col=0, header=0) and dataR = pd.read_excel('unseen_chla.xlsx', index_col=0, header=0)

 

ii)    CE-QUAL-W2 Model documentation

Model user manual and sedimentt diagenesis model documentation

 

iii)  CE-QUAL-W2 input files and .exe files for each model run:

W2_v4.5_0_order model: runs SOD: 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 g O2/m2/day

W2_v4.5_1_order model: runs ISC: 0.0, 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 g/ m2

W2_v4.5_hybrid: runs SOD: 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 g O2/m2/day

W2_v4.5_sediment_diagenesis model: runs 1 to 6

W2_v4.5 PON sensitivity analysis: runs 7 to 15

W2_v4.5 POP  sensitivity analysis: runs 16 to 24
DOI: 10.5281/zenodo.15775127
title: Evaluating the performance of CE-QUAL-W2 version 4.5 sediment diagenesis model  (Manuscript related material: input data and source code)

description: This archive includes materials related to the manuscript Evaluating the Performance of the CE-QUAL-W2 Version 4.5 Sediment Diagenesis Model, such as the model code, pre-/post-processing scripts, and model input/output data. The contents are organized as follows:

i)       Model forcing datasets and scripts

Loadest: input files: est.inp; Calib.inp; control.inp; header.inp

                   executable files: loadest.exe;

                    Manual: Load Estimator (LOADEST) Manual.pdf

Support_Vector_Regressor: input files in folder input files

                   script: Torrão_SVR_hyper_run_py39.py (replace the input file name for each constituent in the script lines: data = pd.read_excel('Input_chla.xlsx', index_col=0, header=0) and dataR = pd.read_excel('unseen_chla.xlsx', index_col=0, header=0)       

XGboost: input files in folder input files

                   script: Torrão_XG_boost_hyper_run_py39.py (replace the input file name for each constituent in the script lines: data = pd.read_excel('Input_chla.xlsx', index_col=0, header=0) and dataR = pd.read_excel('unseen_chla.xlsx', index_col=0, header=0)

 

ii)    CE-QUAL-W2 Model documentation

Model user manual and sedimentt diagenesis model documentation

 

iii)  CE-QUAL-W2 input files and .exe files for each model run:

W2_v4.5_0_order model: runs SOD: 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 g O2/m2/day

W2_v4.5_1_order model: runs ISC: 0.0, 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 g/ m2

W2_v4.5_hybrid: runs SOD: 0.5, 1.0, 1.5, 2.0, 2.5 and 3.0 g O2/m2/day

W2_v4.5_sediment_diagenesis model: runs 1 to 6

W2_v4.5 PON sensitivity analysis: runs 7 to 15

W2_v4.5 POP  sensitivity analysis: runs 16 to 24
DOI: 10.15468/dl.vzd7cc
title: Occurrence Download

description: A dataset containing 4476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lybius guifsobalito Hermann, 1783",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4476 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081147-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xt655b
title: Occurrence Download

description: A dataset containing 1412 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Cetacean Stranding Data in Hokkaido"
 ]
}

 The dataset includes 1412 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081148-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/s7gw-p061
title: "Ambient Processed Two-Step SILAR-Deposited NiCo2S4\/ZnS Heterojunction for UV\u2013Visible Photodetection on Flexible Paper Substrat"

description: "Photodetectorsplayamajorroleinopticalcommunications, medical imaging, and environmental monitoring because of their high sensitivity, fast response times, and ability to detect light at different wavelengths. However, the development of photodetectors that com bine a broad spectral range, cost-effective fabrication, and excellent mechanical flexibility continues to be a challenge. This work reports a NiCo2S4\/ZnS heterojunction photodetector fabricated using the Suc cessive Ionic Layer Adsorption and Reaction (SILAR) technique on a f lexible cellulose paper substrate. UV-visible spectroscopy measures the absorbance anddeterminesthedirect bandgap of ZnSandNiCo2S4 to be 3.6 eV and 2 eV, respectively. Structural features of the fabricated heterojunction are characterized using X-ray diffraction (XRD), confirm ing the crystalline nature of both materials. Morphological features are analyzed using scanning electron microscopy (SEM), providing evidence of heterojunction formation. The combination of ZnS, a wide-bandgap semiconductor, and NiCo2S4, a transition metal sulfide with excellent electrical conductivity, enables improved photoresponse. The NiCo2S4\/ZnS heterojunction shows responsivities of 54 A\/W (UV) and 39 A\/W (visible), with response times of 6.4 s and 2.2 s, respectively. The observed photoresponse is due to the strong UV absorption of ZnS and the visible absorption of NiCo2S4. A Fermi level difference induces charge transfer at the heterojunction, creating a built-in electric field that enhances carrier separation and responsivity. The device exhibits excellent mechanical durability, withstanding over 1000 bending cycles, making it suitable for wearable sensors, environmental monitoring, and optical communication."
DOI: 10.15468/dl.kq5erb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linaria vulgaris Mill.",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081150-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/tyfs35
title: Replication Data for: Alliances and Civil War Intervention

description: Governments have a number of structural advantages over rebel groups in civil wars, one of which is their greater ability to make credible international commitments. Governments can use foreign policy commitments to incentivize other states to provide them military support or deny support to their rebel groups. We analyze international intervention in civil conflicts between 1975 and 2017 and find that some kinds of alliances are associated with pro-government intervention, but all alliances are not equal. Alliances with consultation commitments are associated with interventions that provide materiel, training, intelligence, and/or other forms of non-troop support, while defense pacts are associated with both troop and non-troop support. Members of nonaggression and neutrality pacts are not more likely to intervene to support the government but are less likely to provide support to anti-government forces. We argue that alliances are not simply proxies for common interests; they sometimes involve specific bargains designed to aid a government in defeating rebels. Our evidence suggests that these agreements are successful at incentivizing the intended behavior. Governments use international security policy to protect the status quo domestically as well as internationally, and this affects our understanding both of civil wars and of alliance politics.
DOI: 10.15468/dl.aymtwp
title: Occurrence Download

description: A dataset containing 7526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linaria vulgaris Mill.",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7526 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081151-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mfnuy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Linaria vulgaris Mill.",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081152-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx9uty
title: Occurrence Download

description: A dataset containing 6596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Schima argentea E.Pritz. ex Diels, Schima noronhae Reinw. ex Blume, Schima multibracteata Hung T.Chang, Schima sinensis (Hemsl. & E.H.Wilson) Airy Shaw, Schima wallichii (DC.) Korth., Schima parviflora Hung T.Chang & W.C.Cheng, Schima brevipedicellata Hung T.Chang, Schima crenata Korth., Schima sericans (Hand.-Mazz.) T.L.Ming, Schima mertensiana (Siebold & Zucc.) Koidz., Schima remotiserrata Hung T.Chang, Schima khasiana Dyer, Schima villosa Hu, Schima superba Gardner & Champ.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6596 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081153-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6ca7t
title: Occurrence Download

description: A dataset listing the 1161 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-54.70756 -31.82908,-53.02675 -31.82908,-53.02675 -30.69153,-54.70756 -30.69153,-54.70756 -31.82908))",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 1161 records were derived from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081131-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ps5hf
title: Occurrence Download

description: A dataset containing 8411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Lybius leucocephalus (de Filippi, 1853)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 8411 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081154-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzur47
title: Occurrence Download

description: A dataset containing 85158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fraxinus pennsylvanica Marshall"
 ]
}

 The dataset includes 85158 records from 497 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081138-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/k2zf-8z14
title: "SOFC Ni-redox degradation data"

description: "This dataset contains run-to-failure time series measurements from four lab-scale Solid Oxide Fuel Cells (SOFCs) subjected to accelerated nickel redox cycling under distinct hydrogen flow interruption protocols. Each cell was tested using a unique cycling pattern to capture a broad range of degradation dynamics. Cell01 and Cell02 followed pseudo-random binary signal (PRBS)-like hydrogen cutoffs within 100-minute and 60-minute cycles, respectively, for training purposes. Cell03 underwent daily cycles simulating mild aging conditions with repeated dual cutoffs, while Cell04 was tested under systematically intensified redox stress by increasing fuel cutoff durations every 10 cycles. All tests were conducted at a constant voltage of 0.7 V and temperature of 750\u202f\u00b0C. Each dataset captures the dynamic response of the fuel cell's current density, measured as the primary output variable, to hydrogen flow rate variations. This dataset is intended to support data-driven research in degradation modeling and fault diagnostics using machine learning methods."
DOI: 10.15468/dl.rgcx3c
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trigonobalanus excelsa Lozano, Hern.Cam. & Henao, Trigonobalanus verticillata Forman, Trigonobalanus doichangensis (A.Camus) Forman)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 316 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081156-250525065834625/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.29269754
title: DNMT1/MTTP axis promotes gastritis progression during <i>Helicobacter pylori</i> infection by regulating GPX4 and ferroptosis

description: <i>Helicobacter pylori (H. pylori)</i>-induced chronic atrophic gastritis (CAG) is a significant health concern. The role of microsomal triglyceride transfer protein (MTTP) in CAG progression has not been explored, presenting a critical knowledge gap in understanding <i>H. pylori</i>-induced CAG pathogenesis. Sprague-Dawley rats and gastric epithelial cell line were infected with H. pylori to build CAG model. The mRNA and protein levels of DNA methyltransferase 1 (DNMT1), MTTP, and glutathione peroxidase 4 (GPX4) were measured by quantitative real-time PCR (RT-qPCR) and western blotting, respectively. Moreover, the localization of DNMT1 and MTTP was detected via immunohistochemistry. Furthermore, the pathological changes of gastric tissue were analyzed by HE staining. The MTTP expression was downregulated in CAG. Moreover, overexpression of MTTP in gastric epithelial cells could suppress the inflammatory response induced by <i>H. pylori</i> infection and ferroptosis by upregulating GPX4 expression. In addition, DNMT1 expression was upregulated in CAG and was negatively correlated with MTTP expression. Furthermore, DNMT1 could target MTTP promoter to activate methylation and downregulate MTTP expression. DNMT1 downregulated the MTTP expression through methylation, and thus mediate inflammasome-ferroptosis processes via GPX4 in the <i>H. pylori</i>-induced CAG. Chronic atrophic gastritis (CAG) is a condition where the stomach lining becomes thinner and more damaged over time. It is often caused by infection with common stomach bacteria called <i>Helicobacter pylori</i> (<i>H. pylori</i>). CAG increases the risk of developing stomach cancer, so understanding how it develops is important for finding better treatments. In this study, we looked at a protein called MTTP, which usually helps with fat transport in cells. We found that MTTP levels are much lower in the stomachs of people and animals with CAG. When we increased MTTP levels in stomach cells in the lab, the cells were less damaged by <i>H. pylori</i>. This means MTTP may help protect stomach cells. We also discovered that another protein, DNMT1, plays a role in reducing MTTP levels. DNMT1 can “turn off” genes using a process called DNA methylation. When DNMT1 levels were high, MTTP levels went down. But when we blocked DNMT1 in animals, MTTP levels stayed higher and stomach damage was reduced. These findings suggest that boosting MTTP or blocking DNMT1 might be a new way to help prevent or treat stomach problems caused by <i>H. pylori</i>.
DOI: 10.6084/m9.figshare.29269754.v1
title: DNMT1/MTTP axis promotes gastritis progression during <i>Helicobacter pylori</i> infection by regulating GPX4 and ferroptosis

description: <i>Helicobacter pylori (H. pylori)</i>-induced chronic atrophic gastritis (CAG) is a significant health concern. The role of microsomal triglyceride transfer protein (MTTP) in CAG progression has not been explored, presenting a critical knowledge gap in understanding <i>H. pylori</i>-induced CAG pathogenesis. Sprague-Dawley rats and gastric epithelial cell line were infected with H. pylori to build CAG model. The mRNA and protein levels of DNA methyltransferase 1 (DNMT1), MTTP, and glutathione peroxidase 4 (GPX4) were measured by quantitative real-time PCR (RT-qPCR) and western blotting, respectively. Moreover, the localization of DNMT1 and MTTP was detected via immunohistochemistry. Furthermore, the pathological changes of gastric tissue were analyzed by HE staining. The MTTP expression was downregulated in CAG. Moreover, overexpression of MTTP in gastric epithelial cells could suppress the inflammatory response induced by <i>H. pylori</i> infection and ferroptosis by upregulating GPX4 expression. In addition, DNMT1 expression was upregulated in CAG and was negatively correlated with MTTP expression. Furthermore, DNMT1 could target MTTP promoter to activate methylation and downregulate MTTP expression. DNMT1 downregulated the MTTP expression through methylation, and thus mediate inflammasome-ferroptosis processes via GPX4 in the <i>H. pylori</i>-induced CAG. Chronic atrophic gastritis (CAG) is a condition where the stomach lining becomes thinner and more damaged over time. It is often caused by infection with common stomach bacteria called <i>Helicobacter pylori</i> (<i>H. pylori</i>). CAG increases the risk of developing stomach cancer, so understanding how it develops is important for finding better treatments. In this study, we looked at a protein called MTTP, which usually helps with fat transport in cells. We found that MTTP levels are much lower in the stomachs of people and animals with CAG. When we increased MTTP levels in stomach cells in the lab, the cells were less damaged by <i>H. pylori</i>. This means MTTP may help protect stomach cells. We also discovered that another protein, DNMT1, plays a role in reducing MTTP levels. DNMT1 can “turn off” genes using a process called DNA methylation. When DNMT1 levels were high, MTTP levels went down. But when we blocked DNMT1 in animals, MTTP levels stayed higher and stomach damage was reduced. These findings suggest that boosting MTTP or blocking DNMT1 might be a new way to help prevent or treat stomach problems caused by <i>H. pylori</i>.
DOI: 10.6084/m9.figshare.27931017
title: Functional trait variation of an emblematic saproxylic beetle along rural-to-urban gradients across Europe

description: Contributions of large solitary trees to biodiversity and ecosystem functions across Europe.
DOI: 10.6084/m9.figshare.27931017.v1
title: Functional trait variation of an emblematic saproxylic beetle along rural-to-urban gradients across Europe

description: Contributions of large solitary trees to biodiversity and ecosystem functions across Europe.