cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.td8pgz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Anas gracilis)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081738-250717081556266/datasets/export for details.
DOI: 10.15468/dl.wmk52q
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cinchona officinalis"
 ]
}

 The dataset includes 410 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081739-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.939x8r
title: Occurrence Download

description: A dataset containing 6568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nanoarchaeia"
 ]
}

 The dataset includes 6568 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011639-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubessn
title: Occurrence Download

description: A dataset containing 73973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-93.47611 33.57099,-93.54056 33.573,-93.57069 33.57084,-93.6003 33.56652,-93.63186 33.55939,-93.67003 33.54699,-93.71148 33.5366,-93.76506 33.518,-93.81242 33.4947,-93.85476 33.4654,-93.88988 33.43213,-93.90672 33.41169,-93.9201 33.39222,-93.9334 33.36844,-93.94342 33.34549,-93.95154 33.3203,-93.95689 33.29508,-93.95955 33.26986,-93.95949 33.2429,-93.95661 33.21697,-93.95113 33.19191,-93.94271 33.16645,-93.93232 33.1432,-93.91934 33.12036,-93.90375 33.09815,-93.88623 33.07757,-93.86666 33.05835,-93.84504 33.04053,-93.82 33.02333,-93.79107 33.00712,-93.75797 32.99251,-93.72445 32.98135,-93.69138 32.97351,-93.6609 32.96884,-93.63053 32.96644,-93.58678 32.95426,-93.53955 32.9469,-93.48782 32.94524,-93.43977 32.94959,-93.3942 32.9592,-93.35083 32.97384,-93.31937 32.98834,-93.25065 33.02617,-93.22023 33.04683,-93.19092 33.07203,-93.16692 33.09821,-93.1466 33.12651,-93.12151 33.17335,-93.10843 33.20687,-93.09963 33.24576,-93.09708 33.28499,-93.10072 33.32425,-93.11077 33.36304,-93.12651 33.39931,-93.14945 33.43565,-93.17766 33.46826,-93.2097 33.49627,-93.24759 33.5214,-93.28846 33.5415,-93.3326 33.55683,-93.37979 33.56706,-93.4264 33.57156,-93.47611 33.57099))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 73973 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007032-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxv8p5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"TUR.56.10_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007065-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15099764
title: Future_Global_EnS: CMIP6 Global Environmental Stratification

description: The Future_Global_EnS_Database, contains the results of the global geospatial analysis of projected climate change impacts on the geographic distribution and shifting of bioclimatic strata, and is fully described in the publication submitted to Open Research Europe:

Zomer, R.J., Trabucco, A. (2025). High Resolution Global Environmental Stratification to Model Shifting Bioclimatic Conditions and Climate Change Impacts on Terrestrial Ecosystems. Open Research Europe.  (In Prep).  UPDATE WITH CITATION

The Future_Global_EnS_Database provides a high-resolution (30 arc-seconds) global raster dataset of bioclimatic zones and strata produced using the Environmental Stratification (EnS) methodology. This release includes reconstructions of current and future global environmental stratifications for:- Two historical periods: 1960–1990 (WorldClim 1.4), 1970–2000 (WorldClim 2.1)- Two future periods: 2021–2040, 2041–2060- 22 CMIP6 Earth System Models (ESMs)- Four emission scenarios (SSPs): SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5- Two multi-model averaged ensembles:             - Consensus Ensemble (15 ESMs, excluding high ECS models)             - High-Risk Ensemble (5 “hot” models projecting extreme climate outcomes)
DOI: 10.15468/dl.un8ypw
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea polyantha Juss."
 ]
}

 The dataset includes 174 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017442-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.en9qzq
title: Occurrence Download

description: A dataset containing 363 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lodoicea maldivica (J.F.Gmel.) Pers."
 ]
}

 The dataset includes 363 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017444-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6n7sx
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Livistona speciosa Kurz"
 ]
}

 The dataset includes 80 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017443-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00186.00708
title: Data Analysis Framework for Silicon Strip Detector in Compact Spectrometer for Heavy-Ion Experiments
title: Data Analysis Framework for Silicon Strip Detector in Compact Spectrometer for Heavy-Ion Experiments

description: We developed a dedicated data analysis framework for silicon strip detector telescopes (SSDTs) of the Compact Spectrometer for Heavy-IoN Experiments (CSHINE) that addresses the challenges of processing complex signals. The framework integrates advanced algorithms for precise calibration, accurate particle identification, and efficient event reconstruction, aiming to account for critical experimental factors such as charge-sharing effects, multi-hit event resolution, and detector response nonuniformity. Its robust performance was demonstrated through the successful analysis of light-charged particles in the 25 MeV/u $^{86}$Kr + $^{124}$Sn experiment conducted at the first Radioactive Ion Beam Line in Lanzhou, allowing for precise extraction of physical observables, including energy, momentum, and particle type. Furthermore, utilizing the reconstructed physical information, such as the number of effective physical events and energy spectra to optimize the track recognition algorithm, the final track recognition efficiencies of approximately 90$\%$ were achieved. This framework establishes a valuable reference methodology for SSDT-based detector systems in heavy-ion reaction experiments, thereby significantly enhancing the accuracy and efficiency of data analysis in nuclear physics research.
description: We developed a dedicated data analysis framework for silicon strip detector telescopes (SSDTs) of the Compact Spectrometer for Heavy-IoN Experiments (CSHINE) that addresses the challenges of processing complex signals. The framework integrates advanced algorithms for precise calibration, accurate particle identification, and efficient event reconstruction, aiming to account for critical experimental factors such as charge-sharing effects, multi-hit event resolution, and detector response nonuniformity. Its robust performance was demonstrated through the successful analysis of light-charged particles in the 25 MeV/u $^{86}$Kr + $^{124}$Sn experiment conducted at the first Radioactive Ion Beam Line in Lanzhou, allowing for precise extraction of physical observables, including energy, momentum, and particle type. Furthermore, utilizing the reconstructed physical information, such as the number of effective physical events and energy spectra to optimize the track recognition algorithm, the final track recognition efficiencies of approximately 90$\%$ were achieved. This framework establishes a valuable reference methodology for SSDT-based detector systems in heavy-ion reaction experiments, thereby significantly enhancing the accuracy and efficiency of data analysis in nuclear physics research.
DOI: 10.15468/dl.yeufjd
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.16015 20.62645,-104.09208 20.62645,-104.09208 20.68275,-104.16015 20.68275,-104.16015 20.62645))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017445-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/lrmkwg
title: Replication Data for: Does the cultural consumption policy reduce carbon emission intensity in China?

description: Replication Data for: Does the cultural consumption policy reduce carbon emission intensity in China?
DOI: 10.5281/zenodo.15333191
title: Comsol numerical models and Impedance automated acquisition / analysis python scripts

description: COMSOL numerical models developed and utilised as part of the thesis entitled: "Development and fabrication by 3D printing of an openable microfluidic system instrumented with a bioimpedance biosensor for in vitro culture of 3D biological tissues".

Python scripts developed and used to automatically perform impedance measurements and analysis of these impedance measurements.
DOI: 10.5281/zenodo.15333192
title: Comsol numerical models and Impedance automated acquisition / analysis python scripts

description: COMSOL numerical models developed and utilised as part of the thesis entitled: "Development and fabrication by 3D printing of an openable microfluidic system instrumented with a bioimpedance biosensor for in vitro culture of 3D biological tissues".

Python scripts developed and used to automatically perform impedance measurements and analysis of these impedance measurements.
DOI: 10.15468/dl.eejm7a
title: Occurrence Download

description: A dataset containing 963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Branchipus schaefferi Fischer, 1834",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 963 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017446-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15348043
title: Transfer Learning Improves Regional-Scale Submarine Slope Stability Assessment
DOI: 10.5281/zenodo.15348044
title: Transfer Learning Improves Regional-Scale Submarine Slope Stability Assessment
DOI: 10.6084/m9.figshare.28936772
title: 《xx'xx'x'xx'x'x'xxxxx Remote Sensing in China》

description: x'x'xx'x'x'xxxxx
DOI: 10.57760/sciencedb.j00186.00710
title: Prediction of radionuclide diffusion enabled by missing data imputation and ensemble machine learning
title: Prediction of radionuclide diffusion enabled by missing data imputation and ensemble machine learning

description: Missing values in radionuclide diffusion datasets can undermine the predictive accuracy and robustness of machine learning models. A regression-based missing data imputation method using light gradient boosting machine algorithm was employed to impute over 60% of the missing data.
description: Missing values in radionuclide diffusion datasets can undermine the predictive accuracy and robustness of machine learning models. A regression-based missing data imputation method using light gradient boosting machine algorithm was employed to impute over 60% of the missing data.
DOI: 10.15468/dl.pfxzew
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Myricaria davurica (Willd.) Ehrenb.)"
 ]
}

 The dataset includes 211 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017447-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00186.00707
title: A dataset of triton and helium-3 energy spectra and yield ratio angular distribution in 25MeV/u Kr+Pb heavy ion collision experiment.
title: A dataset of triton and helium-3 energy spectra and yield ratio angular distribution in 25MeV/u Kr+Pb heavy ion collision experiment.

description: The data is generated with ROOT software, and the SaveAs("*.txt") was used to output the data files.
description: The data is generated with ROOT software, and the SaveAs("*.txt") was used to output the data files.
DOI: 10.15468/dl.977rxh
title: Occurrence Download

description: A dataset containing 55326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is True",
 "HasGeospatialIssue is False",
 "OccurrenceStatus is Present",
 "TaxonKey is Rangifer tarandus (Linnaeus, 1758)"
 ]
}

 The dataset includes 55326 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017438-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqbpwc
title: Occurrence Download

description: A dataset containing 520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Philippines",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Pl@ntNet automatically identified occurrences)",
 "GadmGid is PHL.61.19_1",
 "IucnRedListCategory is one of (VU, EX, EW, CR, EN, NT, LC, DD, NE)",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "Year 1994-2025"
 ]
}

 The dataset includes 520 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017448-250426092105405/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.28877228.v1
title: <b>Genotype data on QTL mapped for root </b><b>system</b><b> architecture (RSA) and nitrate reductase activity (NRA) in jute (</b><b><i>Corchorus olitorius</i></b><b> L.) </b>

description: This dataset deposits RSA and NRA QTL-associated genotype data and other source files as follows:1) TopAlleles of Illumina GoldenGate OPA 384-SNP panel (file: 11C13_GoldenGate_TopAlleles_384snps.xlsx).2) Illumina GoldenGate OPA and genotyping of the <i>Corchorus olitorius</i> Sudan Green x bast fibre-shy (<i>bfs</i>) mapping population. The genotype (.loc) file in a .csv format (as required by R/qtl, Broman et al. 2003) used for constructing a genetic map based on genic-SNPs (file: 11C13_GoldenGate_118snps_rqtl_loc_file.csv).3) Summary statistics of the genic-SNP linkage map together with transcripts and SNP details (file: 11C13_GoldenGate_genic_snp_map_rqtl.xlsx).4) The <i>C. olitorius</i> cv. JRO-524 (Navin) draft genome-integrated genetic map constructed by using the software Chromonomer v1.07 (Catchen et al. 2020)—the genotype .loc file (CHRR_11C13_llws01_genome_integrated_map.loc).5) The <i>C. olitorius</i> cv. JRO-524 (Navin) draft genome-integrated genetic map constructed by using the software Chromonomer v1.07 (Catchen et al. 2020)—the .map file (CHRR_11C13_llws01_genome_integrated_map.map).<br><br>
DOI: 10.15468/dl.7n3ckt
title: Occurrence Download

description: A dataset containing 4550 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ludwigia adscendens (L.) H.Hara"
 ]
}

 The dataset includes 4550 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017449-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc6ph6
title: Occurrence Download

description: A dataset containing 1653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Luffa acutangula (L.) Roxb."
 ]
}

 The dataset includes 1653 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017451-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25405/data.ncl.12443531
title: Enhanced CO<sub>2</sub> separation via molten-carbonate membranes with freeze-cast, porous ceramic supports

description: File name: Figure 1a: Cumulative intruded mercury volume and incremental intrusion as a function of the pore diameter for YSZ-56File name: Figure 1b: Cumulative intruded mercury volume and incremental intrusion as a function of the pore diameter for YSZ-66File name: Figure 1c: Cumulative intruded mercury volume and incremental intrusion as a function of the pore diameter for YSZ-60(ZRA)File name: Figure 1d: Cumulative intruded mercury volume and incremental intrusion as a function of the pore diameter for CGOFile name: Figure 4YSZ-56: CO2 permeances as a function of temperature for YSZ-56File name: Figure 4YSZ-66: CO2 permeances as a function of temperature for YSZ-66File name: Figure 4YSZ-60: CO2 permeances as a function of temperature for YSZ-60(ZRA)File name: Figure 4CGO: CO2 permeances as a function of temperature for CGO<br>The CO2 permeances used in Figure 6 come from the same data as in Figure 4. The literature data have been taken from the corresponding references.<br>
DOI: 10.15468/dl.wfkh79
title: Occurrence Download

description: A dataset containing 34121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ludwigia octovalvis (Jacq.) P.H.Raven"
 ]
}

 The dataset includes 34121 records from 657 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017450-250426092105405/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.28936493
title: <b>Mean warming can enhance the resilience to extreme high temperature events in two species of global pests</b>

description: 1. Global warming not only caused increase in mean temperature but also the frequency of heat waves. Mean warming allows ectotherms exposed to mild higher temperatures for multiple generations. Meanwhile these mean-warmed organisms may also encounter extreme high temperature events. However, how short-lived ectotherms that persist in long period of mild mean warming deal with the extreme high temperature events remains largely unknown.2. Here, we investigated this important issue by measuring the acute thermal tolerance (CTmax) and life history traits at high temperatures (30°C) of two aphid species (<i>Sitobion avenae</i> and <i>Rhopalosiphum padi</i>) that had been warmed (at 25°C, 25±6°C) for 14 days or 60 days.3. Our results indicated that mean warming generally improved heat tolerance (CTmax) in both aphid species, and such improvement effects became weaker when warming time became longer. Moreover, mean warming did not deteriorate life history performances at extreme high temperature (30°C).4. Therefore, mean warming helps aphid species to better cope with extreme high temperature events by improving their heat tolerance and demography at high temperatures. Additionally, our findings offer further evidence that the relative dominance shifts of coexisting species under warming conditions may be influenced by differences in their effective acclimation temperatures.
DOI: 10.6084/m9.figshare.28936493.v1
title: <b>Mean warming can enhance the resilience to extreme high temperature events in two species of global pests</b>

description: 1. Global warming not only caused increase in mean temperature but also the frequency of heat waves. Mean warming allows ectotherms exposed to mild higher temperatures for multiple generations. Meanwhile these mean-warmed organisms may also encounter extreme high temperature events. However, how short-lived ectotherms that persist in long period of mild mean warming deal with the extreme high temperature events remains largely unknown.2. Here, we investigated this important issue by measuring the acute thermal tolerance (CTmax) and life history traits at high temperatures (30°C) of two aphid species (<i>Sitobion avenae</i> and <i>Rhopalosiphum padi</i>) that had been warmed (at 25°C, 25±6°C) for 14 days or 60 days.3. Our results indicated that mean warming generally improved heat tolerance (CTmax) in both aphid species, and such improvement effects became weaker when warming time became longer. Moreover, mean warming did not deteriorate life history performances at extreme high temperature (30°C).4. Therefore, mean warming helps aphid species to better cope with extreme high temperature events by improving their heat tolerance and demography at high temperatures. Additionally, our findings offer further evidence that the relative dominance shifts of coexisting species under warming conditions may be influenced by differences in their effective acclimation temperatures.