cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d2v9es
title: Occurrence Download

description: A dataset containing 219417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Praealticus triangulus, Priacanthus arenatus, Priacanthus blochii, Priacanthus tayenus, Priolepis agrena, Priolepis ailina, Priolepis aithiops, Priolepis akihitoi, Priolepis anthioides, Priolepis ascensionis, Priolepis aureoviridis, Priolepis billbrooksi, Priolepis boreus, Priolepis compita, Priolepis cyanocephala, Priolepis dawsoni, Priolepis eugenius, Priolepis fallacincta, Priolepis farcimen, Priolepis hipoliti, Priolepis inhaca, Priolepis kappa, Priolepis latifascima, Priolepis limbatosquamis, Priolepis melanops, Priolepis nocturna, Priolepis pallidicincta, Priolepis profunda, Priolepis psygmophilia, Priolepis randalli, Priolepis robinsi, Priolepis semidoliata, Priolepis squamogena, Priolepis sticta, Priolepis triops, Priolepis vexilla, Priolepis winterbottomi, Prionotus albirostris, Prionotus beanii, Prionotus birostratus, Prionotus horrens, Prionotus miles, Prionotus murielae, Prionotus nudigula, Prionotus ruscarius, Prionotus scitulus, Prionotus teaguei, Prionotus tribulus, Prionurus biafraensis, Prionurus chrysurus, Prionurus laticlavius, Prionurus punctatus, Prionurus scalprum, Pristiapogon abrogramma, Pristiapogon exostigma, Pristiapogon fraenatus, Pristiapogon taeniopterus, Pristicon rhodopterus, Pristicon rufus, Pristicon trimaculatus, Pristigenys alta, Pristigenys meyeri, Pristigenys refulgens, Pristigenys serrula, Pristipomoides typus, Pristotis obtusirostris, Prognathodes aculeatus, Prognathodes aya, Prognathodes brasiliensis, Prognathodes carlhubbsi, Prognathodes dichrous, Prognathodes falcifer, Prognathodes guezei, Prognathodes marcellae, Prognathodes obliquus, Prognichthys glaphyrae, Prognichthys occidentalis, Prognichthys sealei, Prognichthys tringa, Pronotogrammus multifasciatus, Propherallodus briggsi, Protammodytes sarisa, Protanguilla palau, Protemblemaria bicirrus, Protemblemaria perla, Protemblemaria punctata, Psammodiscus ocellatus, Psammogobius pisinnus, Psettina brevirictis, Psettina gigantea, Psettina hainanensis, Psettina iijimae, Psettina multisquamea, Psettina profunda, Psettina tosana, Psettina variegata, Psettodes bennettii, Psettodes erumei, Pseudaesopia japonica, Pseudalutarius nasicornis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 219417 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041694-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5r7de
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachytarpheta cayennensis",
 "Country is Guatemala",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041730-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zagghy
title: Occurrence Download

description: A dataset containing 138463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DecimalLatitude is -27.2924277063846,-26.7995262524537",
 "DecimalLongitude is 26.3160877009028,27.0029015424673"
 ]
}

 The dataset includes 138463 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041675-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vbanj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Olpogastra lugubris, Onychogomphus, Onychogomphus aequistylus, Onychogomphus boudoti, Onychogomphus costae, Onychogomphus forcipatus, Onychogomphus forcipatus unguiculatus, Onychogomphus kitchingmani, Onychogomphus lefebvrii, Onychogomphus nigrotibialis, Onychogomphus pilosus, Onychogomphus rossii, Onychogomphus seydeli, Onychogomphus styx, Onychogomphus supinus, Onychogomphus uncatus, Onychogomphus undecim, Onychogomphus vadoni, Ophiogomphus, Oreocnemis, Oreocnemis phoenix, Orthetrum, Orthetrum abbotti, Orthetrum africanum, Orthetrum agaricum, Orthetrum angustiventre, Orthetrum austeni, Orthetrum azureum, Orthetrum azureum lugubre, Orthetrum brachiale, Orthetrum brevistylum, Orthetrum brunneum, Orthetrum caffrum, Orthetrum camerunense, Orthetrum cancellatum, Orthetrum chrysostigma, Orthetrum coerulescens, Orthetrum coerulescens anceps, Orthetrum guineense, Orthetrum hintzi, Orthetrum icteromelas, Orthetrum julia, Orthetrum julia falsum, Orthetrum julia julia, Orthetrum kafwi, Orthetrum kollmannspergeri, Orthetrum kristenseni, Orthetrum latihami, Orthetrum lemur, Orthetrum lugubre, Orthetrum lusinga, Orthetrum machadoi, Orthetrum macrostigma, Orthetrum malgassicum, Orthetrum microstigma, Orthetrum monardi, Orthetrum nitidinerve, Orthetrum pruinosum, Orthetrum ransonnetii, Orthetrum robustum, Orthetrum rubens, Orthetrum sabina, Orthetrum sabina sabina, Orthetrum saegeri, Orthetrum sagitta, Orthetrum, Orthetrum stemmale, Orthetrum trinacria, Orthetrum umbratum, Oxygastra, Oxygastra curtisii, Oxythemis, Oxythemis phoenicosceles, Palpopleura, Palpopleura albifrons, Palpopleura deceptor, Palpopleura jucunda, Palpopleura lucia, Palpopleura portia, Palpopleura vestita, Pantala, Pantala flavescens, Paracnemis, Paracnemis alluaudi, Paragomphus, Paragomphus abnormis, Paragomphus acuminatus, Paragomphus alluaudi, Paragomphus aureatus, Paragomphus bredoi, Paragomphus cammaertsi, Paragomphus cataractae, Paragomphus clausnitzerorum, Paragomphus cognatus, Paragomphus crenigomphoides, Paragomphus darwalli, Paragomphus dispar, Paragomphus elpidius, Paragomphus fritillarius, Paragomphus genei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((43.2262 -16.9066,42.991 -16.6199,42.5693 -16.563,42.237 -16.8562,42.2373 -17.2371,42.4892 -17.5028,42.907 -17.5351,43.1823 -17.3111,43.2262 -16.9066))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041731-250827131500795/datasets/export for details.
DOI: 10.15468/dl.rtfdjz
title: Occurrence Download

description: A dataset containing 32132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Smilax bona-nox"
 ]
}

 The dataset includes 32132 records from 197 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041733-250827131500795/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.30073033
title: MRI PET images for fusion

description: This dataset contains pre-registered MRI and PET images for application of fusion.
DOI: 10.6084/m9.figshare.30073033.v1
title: MRI PET images for fusion

description: This dataset contains pre-registered MRI and PET images for application of fusion.
DOI: 10.18150/3jh4lv
title: Zagrożenia bezpieczeństwa związane z obszarami niepodlegającymi jurysdykcji państwowej - część 1

description: Wykaz dokumentów przywołanych w artykule
DOI: 10.15468/dl.hwqqek
title: Occurrence Download

description: A dataset containing 141609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudochromis tonozukai, Pseudochromis viridis, Pseudochromis wilsoni, Pseudocoris aequalis, Pseudocoris aurantiofasciata, Pseudocoris bleekeri, Pseudocoris heteroptera, Pseudocoris ocellata, Pseudocoris yamashiroi, Pseudodax moluccanus, Pseudogilbia sanblasensis, Pseudogoniistius nigripes, Pseudogramma astigma, Pseudogramma australis, Pseudogramma axelrodi, Pseudogramma erythrea, Pseudogramma gregoryi, Pseudogramma guineensis, Pseudogramma pectoralis, Pseudogramma polyacantha, Pseudogramma xantha, Pseudojuloides argyreogaster, Pseudojuloides atavai, Pseudojuloides cerasinus, Pseudojuloides elongatus, Pseudojuloides erythrops, Pseudojuloides kaleidos, Pseudojuloides mesostigma, Pseudojuloides pyrius, Pseudojuloides severnsi, Pseudojuloides xanthomos, Pseudolabrus biserialis, Pseudolabrus eoethinus, Pseudolabrus fuentesi, Pseudolabrus guentheri, Pseudolabrus luculentus, Pseudolabrus miles, Pseudolabrus sieboldi, Pseudolabrus torotai, Pseudolarimichthys terengganui, Pseudomonacanthus elongatus, Pseudomonacanthus macrurus, Pseudomonacanthus peroni, Pseudomyrophis atlanticus, Pseudomyrophis frio, Pseudomyrophis fugesae, Pseudomyrophis micropinna, Pseudoplesiops annae, Pseudoplesiops howensis, Pseudoplesiops revellei, Pseudoplesiops rosae, Pseudoplesiops typus, Pseudoplesiops wassi, Pseudopleuronectes americanus, Pseudopleuronectes herzensteini, Pseudorhombus annulatus, Pseudorhombus argus, Pseudorhombus binii, Pseudorhombus cinnamoneus, Pseudorhombus diplospilus, Pseudorhombus dupliciocellatus, Pseudorhombus elevatus, Pseudorhombus javanicus, Pseudorhombus levisquamis, Pseudorhombus malayanus, Pseudorhombus neglectus, Pseudorhombus oligodon, Pseudorhombus pentophthalmus, Pseudorhombus quinquocellatus, Pseudorhombus spinosus, Pseudorhombus tenuirastrum, Pseudorhombus triocellatus, Pseudotolithus elongatus, Pseudotolithus senegalensis, Pseudotolithus typus, Pseudotrichonotus altivelis, Pseudotrichonotus belos, Pseudotrichonotus caeruleoflavus, Pseudotrichonotus xanthotaenia, Pseudupeneus grandisquamis, Pseudupeneus maculatus, Psilogobius mainlandi, Psilogobius prolatus, Psilogobius randalli, Psilotris alepis, Psilotris boehlkei, Psilotris kaufmani, Psilotris laetarii, Psilotris laurae, Ptarmus gallus, Pteraclis aesticola, Pteragogus aurigarius, Pteragogus cryptus, Pteragogus enneacanthus, Pteragogus flagellifer, Pteragogus guttatus, Pteragogus pelycus, Pteragogus taeniops, Pterapogon kauderni, Ptereleotris arabica)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 141609 records from 399 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041698-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17075564
title: Predicting Nonsense-mediated mRNA Decay from Splicing Events in Sepsis using RNA-Sequencing Data
DOI: 10.5281/zenodo.17075565
title: Predicting Nonsense-mediated mRNA Decay from Splicing Events in Sepsis using RNA-Sequencing Data
DOI: 10.6084/m9.figshare.30073057
title: Supplementary Material for: Impact of the apolipoprotein E ε4 allele on cognition and omega-3 fatty acid levels in the plasma membrane of red blood cells in healthy elderly Japanese population

description: The ε4 allele of the apolipoprotein E (APOE4) gene is a well-known risk factor for the onset and development of late-onset Alzheimer’s disease (AD). Lipid metabolism also plays a key role in AD. However, data on the association between APOE4, cognitive function, and blood lipid metabolism, particularly fatty acid metabolism, in the healthy elderly Japanese population are lacking. To address this issue, we analyzed the baseline data of 506 healthy elderly Japanese individuals (mean age: 73 ± 0.4 years) from Shimane Prefecture, Japan, who participated in six intervention trials conducted between 2008 and 2020. Among them, participants with mild cognitive impairment (MCI) were divided into the following two groups: APOE4 carriers (n = 104) and non-carriers (n = 321). Compared with the non-carriers, the APOE4 carriers had significantly lower scores in the “Recalling five objects” subitem of Hasegawa’s Dementia Scale—Revised and longer total times in the Cognitive Assessment for Dementia iPad version. The ratio of docosahexaenoic acid (DHA) to arachidonic acid was significantly decreased, and the erythrocyte eicosapentaenoic acid (EPA) and DHA levels tended to be reduced in APOE4 carriers. These findings suggest a possible association between the APOE4 allele and reduced erythrocyte EPA and DHA levels, even in healthy elderly Japanese individuals with high ω-3 fatty acid intake. Such alterations in lipid metabolism may be linked to cognitive vulnerability in older adults and individuals with MCI.
DOI: 10.6084/m9.figshare.30073057.v1
title: Supplementary Material for: Impact of the apolipoprotein E ε4 allele on cognition and omega-3 fatty acid levels in the plasma membrane of red blood cells in healthy elderly Japanese population

description: The ε4 allele of the apolipoprotein E (APOE4) gene is a well-known risk factor for the onset and development of late-onset Alzheimer’s disease (AD). Lipid metabolism also plays a key role in AD. However, data on the association between APOE4, cognitive function, and blood lipid metabolism, particularly fatty acid metabolism, in the healthy elderly Japanese population are lacking. To address this issue, we analyzed the baseline data of 506 healthy elderly Japanese individuals (mean age: 73 ± 0.4 years) from Shimane Prefecture, Japan, who participated in six intervention trials conducted between 2008 and 2020. Among them, participants with mild cognitive impairment (MCI) were divided into the following two groups: APOE4 carriers (n = 104) and non-carriers (n = 321). Compared with the non-carriers, the APOE4 carriers had significantly lower scores in the “Recalling five objects” subitem of Hasegawa’s Dementia Scale—Revised and longer total times in the Cognitive Assessment for Dementia iPad version. The ratio of docosahexaenoic acid (DHA) to arachidonic acid was significantly decreased, and the erythrocyte eicosapentaenoic acid (EPA) and DHA levels tended to be reduced in APOE4 carriers. These findings suggest a possible association between the APOE4 allele and reduced erythrocyte EPA and DHA levels, even in healthy elderly Japanese individuals with high ω-3 fatty acid intake. Such alterations in lipid metabolism may be linked to cognitive vulnerability in older adults and individuals with MCI.
DOI: 10.15468/dl.v7wjp8
title: Occurrence Download

description: A dataset listing the 179 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((73.05239 36.7168,73.62113 36.7168,73.62113 36.92159,73.05239 36.92159,73.05239 36.7168))",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 179 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041706-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzrcfj
title: Occurrence Download

description: A dataset containing 1978 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Smilax ferox"
 ]
}

 The dataset includes 1978 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041734-250827131500795/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.27098590
title: Raw data, derived data, and codes: Acute physiological and behavioural effects of one session of 1-Hz repetitive transcranial magnetic stimulation in post-stroke aphasia

description: Associated publication title: Acute physiological and behavioural effects of one session of 1-Hz repetitive transcranial magnetic stimulation in post-stroke aphasiaAssociated publication description: Repetitive transcranial magnetic stimulation (rTMS) shows promise as an aphasia treatment, however its physiological mechanisms in people with aphasia (PWA) remain largely unclear. Electroencephalography (EEG) could be used to explore rTMS mechanisms. The present study investigated the acute effects of rTMS in PWA on: 1) an EEG measure of language (N400 event-related potential; ERP); and 2) picture naming. Eleven people with chronic non-fluent or anomic aphasia (64 ± 10.13 years old; 8 males; 37.27 ± 20.64 months since stroke) received one session of 1-Hz rTMS and one session of sham to the right pars triangularis at 80% resting motor threshold (RMT). N400 mean amplitude and picture naming accuracy were compared before and after each session.Datasets are provided for the physiological measure (N400 ERP). Files are named: ERPData.xlsx (primary analysis; N400 mean amplitude in Pz electrode), ERPData_Cz.xslx (exploratory analysis; N400 mean amplitude in Cz electrode), ERPData_Lat.xslx (exploratory analysis; N400 peak latency in Pz electrode). Statistical script to analyse these datasets is named ERPStatistics.r.Datasets are also provided for the behavioural measure (picture naming). Files are named: PictureNamingAccuracy.xslx (primary analysis; picture naming accuracy) and PictureNamingLatency.xlsx (exploratory analysis; picture naming latency). Statistical script to analyse these datasets is named PictureNamingStatistics.r.Raw .poly5 EEG recordings, used to extract the N400 ERP, are provided for all 11 participants (numbered P001-P012; no P008) at pre- and post-rTMS timepoints in real and sham condition (4 EEG recordings per participant). These files are named accordingly (please note SJ stands for Semantic Judgment, which was the task used to elicit the N400). Preprocessing scripts for EEG data are provided as .m files (Step 1 to Step 6). The channel labels required in Preprocessing Step 1 are provided: chanlabels.xlsx. Script to extract ERP parameters from preprocessed EEG data is also provided (ExtractERPParameters.m), however the derived data for ERP parameters has already been provided as aforementioned (ERPData.xlsx etc.).All data and code required for cluster-based permutation analysis of the N400 ERP are provided. Refer to ClusterBasedPermutation_README file for instructions.
DOI: 10.6084/m9.figshare.27098590.v3
title: Raw data, derived data, and codes: Acute physiological and behavioural effects of one session of 1-Hz repetitive transcranial magnetic stimulation in post-stroke aphasia

description: Associated publication title: Acute physiological and behavioural effects of one session of 1-Hz repetitive transcranial magnetic stimulation in post-stroke aphasiaAssociated publication description: Repetitive transcranial magnetic stimulation (rTMS) shows promise as an aphasia treatment, however its physiological mechanisms in people with aphasia (PWA) remain largely unclear. Electroencephalography (EEG) could be used to explore rTMS mechanisms. The present study investigated the acute effects of rTMS in PWA on: 1) an EEG measure of language (N400 event-related potential; ERP); and 2) picture naming. Eleven people with chronic non-fluent or anomic aphasia (64 ± 10.13 years old; 8 males; 37.27 ± 20.64 months since stroke) received one session of 1-Hz rTMS and one session of sham to the right pars triangularis at 80% resting motor threshold (RMT). N400 mean amplitude and picture naming accuracy were compared before and after each session.Datasets are provided for the physiological measure (N400 ERP). Files are named: ERPData.xlsx (primary analysis; N400 mean amplitude in Pz electrode), ERPData_Cz.xslx (exploratory analysis; N400 mean amplitude in Cz electrode), ERPData_Lat.xslx (exploratory analysis; N400 peak latency in Pz electrode). Statistical script to analyse these datasets is named ERPStatistics.r.Datasets are also provided for the behavioural measure (picture naming). Files are named: PictureNamingAccuracy.xslx (primary analysis; picture naming accuracy) and PictureNamingLatency.xlsx (exploratory analysis; picture naming latency). Statistical script to analyse these datasets is named PictureNamingStatistics.r.Raw .poly5 EEG recordings, used to extract the N400 ERP, are provided for all 11 participants (numbered P001-P012; no P008) at pre- and post-rTMS timepoints in real and sham condition (4 EEG recordings per participant). These files are named accordingly (please note SJ stands for Semantic Judgment, which was the task used to elicit the N400). Preprocessing scripts for EEG data are provided as .m files (Step 1 to Step 6). The channel labels required in Preprocessing Step 1 are provided: chanlabels.xlsx. Script to extract ERP parameters from preprocessed EEG data is also provided (ExtractERPParameters.m), however the derived data for ERP parameters has already been provided as aforementioned (ERPData.xlsx etc.).
DOI: 10.6084/m9.figshare.27098590.v4
title: Raw data, derived data, and codes: Acute physiological and behavioural effects of one session of 1-Hz repetitive transcranial magnetic stimulation in post-stroke aphasia

description: Associated publication title: Acute physiological and behavioural effects of one session of 1-Hz repetitive transcranial magnetic stimulation in post-stroke aphasiaAssociated publication description: Repetitive transcranial magnetic stimulation (rTMS) shows promise as an aphasia treatment, however its physiological mechanisms in people with aphasia (PWA) remain largely unclear. Electroencephalography (EEG) could be used to explore rTMS mechanisms. The present study investigated the acute effects of rTMS in PWA on: 1) an EEG measure of language (N400 event-related potential; ERP); and 2) picture naming. Eleven people with chronic non-fluent or anomic aphasia (64 ± 10.13 years old; 8 males; 37.27 ± 20.64 months since stroke) received one session of 1-Hz rTMS and one session of sham to the right pars triangularis at 80% resting motor threshold (RMT). N400 mean amplitude and picture naming accuracy were compared before and after each session.Datasets are provided for the physiological measure (N400 ERP). Files are named: ERPData.xlsx (primary analysis; N400 mean amplitude in Pz electrode), ERPData_Cz.xslx (exploratory analysis; N400 mean amplitude in Cz electrode), ERPData_Lat.xslx (exploratory analysis; N400 peak latency in Pz electrode). Statistical script to analyse these datasets is named ERPStatistics.r.Datasets are also provided for the behavioural measure (picture naming). Files are named: PictureNamingAccuracy.xslx (primary analysis; picture naming accuracy) and PictureNamingLatency.xlsx (exploratory analysis; picture naming latency). Statistical script to analyse these datasets is named PictureNamingStatistics.r.Raw .poly5 EEG recordings, used to extract the N400 ERP, are provided for all 11 participants (numbered P001-P012; no P008) at pre- and post-rTMS timepoints in real and sham condition (4 EEG recordings per participant). These files are named accordingly (please note SJ stands for Semantic Judgment, which was the task used to elicit the N400). Preprocessing scripts for EEG data are provided as .m files (Step 1 to Step 6). The channel labels required in Preprocessing Step 1 are provided: chanlabels.xlsx. Script to extract ERP parameters from preprocessed EEG data is also provided (ExtractERPParameters.m), however the derived data for ERP parameters has already been provided as aforementioned (ERPData.xlsx etc.).All data and code required for cluster-based permutation analysis of the N400 ERP are provided. Refer to ClusterBasedPermutation_README file for instructions.