cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26138/sxs:bbh:1448
title: Binary black-hole simulation SXS:BBH:1448
DOI: 10.26138/sxs:bbh:1448v3.0
title: Binary black-hole simulation SXS:BBH:1448
DOI: 10.26138/sxs:bbh:1471
title: Binary black-hole simulation SXS:BBH:1471
DOI: 10.26138/sxs:bbh:1471v3.0
title: Binary black-hole simulation SXS:BBH:1471
DOI: 10.26138/sxs:bbh:1473
title: Binary black-hole simulation SXS:BBH:1473
DOI: 10.26138/sxs:bbh:1473v3.0
title: Binary black-hole simulation SXS:BBH:1473
DOI: 10.26138/sxs:bbh:1474
title: Binary black-hole simulation SXS:BBH:1474
DOI: 10.26138/sxs:bbh:1474v3.0
title: Binary black-hole simulation SXS:BBH:1474
DOI: 10.26138/sxs:bbh:1472
title: Binary black-hole simulation SXS:BBH:1472
DOI: 10.26138/sxs:bbh:1472v3.0
title: Binary black-hole simulation SXS:BBH:1472
DOI: 10.26138/sxs:bbh:1479
title: Binary black-hole simulation SXS:BBH:1479
DOI: 10.26138/sxs:bbh:1479v3.0
title: Binary black-hole simulation SXS:BBH:1479
DOI: 10.26138/sxs:bbh:1475
title: Binary black-hole simulation SXS:BBH:1475
DOI: 10.26138/sxs:bbh:1475v3.0
title: Binary black-hole simulation SXS:BBH:1475
DOI: 10.26138/sxs:bbh:1476
title: Binary black-hole simulation SXS:BBH:1476
DOI: 10.26138/sxs:bbh:1476v3.0
title: Binary black-hole simulation SXS:BBH:1476
DOI: 10.26138/sxs:bbh:1470
title: Binary black-hole simulation SXS:BBH:1470
DOI: 10.26138/sxs:bbh:1470v3.0
title: Binary black-hole simulation SXS:BBH:1470
DOI: 10.26138/sxs:bbh:1478
title: Binary black-hole simulation SXS:BBH:1478
DOI: 10.26138/sxs:bbh:1478v3.0
title: Binary black-hole simulation SXS:BBH:1478
DOI: 10.26138/sxs:bbh:1502
title: Binary black-hole simulation SXS:BBH:1502
DOI: 10.26138/sxs:bbh:1502v3.0
title: Binary black-hole simulation SXS:BBH:1502
DOI: 10.26138/sxs:bbh:1504
title: Binary black-hole simulation SXS:BBH:1504
DOI: 10.15468/dl.b2trvw
title: Occurrence Download

description: A dataset containing 99005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Canada",
 "TaxonKey is Cardellina canadensis (Linnaeus, 1766)"
 ]
}

 The dataset includes 99005 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015796-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:1504v3.0
title: Binary black-hole simulation SXS:BBH:1504
DOI: 10.26138/sxs:bbh:1503
title: Binary black-hole simulation SXS:BBH:1503
DOI: 10.26138/sxs:bbh:1503v3.0
title: Binary black-hole simulation SXS:BBH:1503
DOI: 10.26138/sxs:bbh:1506
title: Binary black-hole simulation SXS:BBH:1506
DOI: 10.26138/sxs:bbh:1506v3.0
title: Binary black-hole simulation SXS:BBH:1506
DOI: 10.26138/sxs:bbh:1507
title: Binary black-hole simulation SXS:BBH:1507
DOI: 10.26138/sxs:bbh:1507v3.0
title: Binary black-hole simulation SXS:BBH:1507
DOI: 10.26138/sxs:bbh:1501
title: Binary black-hole simulation SXS:BBH:1501
DOI: 10.26138/sxs:bbh:1501v3.0
title: Binary black-hole simulation SXS:BBH:1501
DOI: 10.26138/sxs:bbh:1499
title: Binary black-hole simulation SXS:BBH:1499
DOI: 10.26138/sxs:bbh:1499v3.0
title: Binary black-hole simulation SXS:BBH:1499
DOI: 10.15468/dl.zhsz8e
title: Occurrence Download

description: A dataset containing 65540 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pionus chalcopterus (Fraser, 1841)"
 ]
}

 The dataset includes 65540 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015790-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:1500
title: Binary black-hole simulation SXS:BBH:1500
DOI: 10.26138/sxs:bbh:1500v3.0
title: Binary black-hole simulation SXS:BBH:1500
DOI: 10.26138/sxs:bbh:1505
title: Binary black-hole simulation SXS:BBH:1505
DOI: 10.26138/sxs:bbh:1505v3.0
title: Binary black-hole simulation SXS:BBH:1505
DOI: 10.26138/sxs:bbh:1532
title: Binary black-hole simulation SXS:BBH:1532
DOI: 10.26138/sxs:bbh:1532v3.0
title: Binary black-hole simulation SXS:BBH:1532
DOI: 10.26138/sxs:bbh:1531
title: Binary black-hole simulation SXS:BBH:1531
DOI: 10.26138/sxs:bbh:1531v3.0
title: Binary black-hole simulation SXS:BBH:1531
DOI: 10.26138/sxs:bbh:1533
title: Binary black-hole simulation SXS:BBH:1533
DOI: 10.26138/sxs:bbh:1530
title: Binary black-hole simulation SXS:BBH:1530
DOI: 10.26138/sxs:bbh:1533v3.0
title: Binary black-hole simulation SXS:BBH:1533
DOI: 10.26138/sxs:bbh:1530v3.0
title: Binary black-hole simulation SXS:BBH:1530
DOI: 10.26138/sxs:bbh:1526
title: Binary black-hole simulation SXS:BBH:1526
DOI: 10.26138/sxs:bbh:1526v3.0
title: Binary black-hole simulation SXS:BBH:1526
DOI: 10.26138/sxs:bbh:1527
title: Binary black-hole simulation SXS:BBH:1527
DOI: 10.26138/sxs:bbh:1527v3.0
title: Binary black-hole simulation SXS:BBH:1527
DOI: 10.26138/sxs:bbh:1529
title: Binary black-hole simulation SXS:BBH:1529
DOI: 10.26138/sxs:bbh:1529v3.0
title: Binary black-hole simulation SXS:BBH:1529
DOI: 10.26138/sxs:bbh:1534
title: Binary black-hole simulation SXS:BBH:1534
DOI: 10.26138/sxs:bbh:1534v3.0
title: Binary black-hole simulation SXS:BBH:1534
DOI: 10.26138/sxs:bbh:1528
title: Binary black-hole simulation SXS:BBH:1528
DOI: 10.26138/sxs:bbh:1528v3.0
title: Binary black-hole simulation SXS:BBH:1528
DOI: 10.26138/sxs:bbh:1556
title: Binary black-hole simulation SXS:BBH:1556
DOI: 10.26138/sxs:bbh:1556v3.0
title: Binary black-hole simulation SXS:BBH:1556
DOI: 10.26138/sxs:bbh:1558
title: Binary black-hole simulation SXS:BBH:1558
DOI: 10.26138/sxs:bbh:1558v3.0
title: Binary black-hole simulation SXS:BBH:1558
DOI: 10.26138/sxs:bbh:1555
title: Binary black-hole simulation SXS:BBH:1555
DOI: 10.26138/sxs:bbh:1555v3.0
title: Binary black-hole simulation SXS:BBH:1555
DOI: 10.26138/sxs:bbh:1553
title: Binary black-hole simulation SXS:BBH:1553
DOI: 10.26138/sxs:bbh:1553v3.0
title: Binary black-hole simulation SXS:BBH:1553
DOI: 10.26138/sxs:bbh:1554
title: Binary black-hole simulation SXS:BBH:1554
DOI: 10.26138/sxs:bbh:1554v3.0
title: Binary black-hole simulation SXS:BBH:1554
DOI: 10.26138/sxs:bbh:1560
title: Binary black-hole simulation SXS:BBH:1560
DOI: 10.26138/sxs:bbh:1557
title: Binary black-hole simulation SXS:BBH:1557
DOI: 10.26138/sxs:bbh:1560v3.0
title: Binary black-hole simulation SXS:BBH:1560
DOI: 10.26138/sxs:bbh:1557v3.0
title: Binary black-hole simulation SXS:BBH:1557
DOI: 10.26138/sxs:bbh:1559
title: Binary black-hole simulation SXS:BBH:1559
DOI: 10.26138/sxs:bbh:1559v3.0
title: Binary black-hole simulation SXS:BBH:1559
DOI: 10.26138/sxs:bbh:1561
title: Binary black-hole simulation SXS:BBH:1561
DOI: 10.26138/sxs:bbh:1561v3.0
title: Binary black-hole simulation SXS:BBH:1561
DOI: 10.26138/sxs:bbh:1578
title: Binary black-hole simulation SXS:BBH:1578
DOI: 10.26138/sxs:bbh:1578v3.0
title: Binary black-hole simulation SXS:BBH:1578
DOI: 10.26138/sxs:bbh:1577
title: Binary black-hole simulation SXS:BBH:1577
DOI: 10.15468/dl.2gu4rn
title: Occurrence Download

description: A dataset containing 183394 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myotis daubentonii (Kuhl, 1817)"
 ]
}

 The dataset includes 183394 records from 2245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015773-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/9qolz0
title: List of texts published in the Jewish Calendar (1983–1991)

description: The dataset was compiled using archival and library research and content analysis of the "Jewish Calendar" published by the Religious Union of the Mosaic Faith in Poland between 1983 and 1991. The dataset was collected to examine what elements of Jewish life are addressed in the "Jewish Calendar," and what changes taking place within the Jewish community it reflects.
DOI: 10.15156/bio/sh1116842.10fu
title: SH1116842.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.m3h6cg
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Exallage pachycarpa (Ridl.) Bremek."
 ]
}

 The dataset includes 19 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238047-230224095556074/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.25773418
title: Effect of site, silviculture and tree social status on internal checking variation in plantation-grown <i>Eucalyptus nitens</i>

description: Internal checking is a wood-drying defect that affects many tree species, including eucalypts, and can adversely affect the recovery of high-quality timber. We studied the patterns of within- and between-tree variation in wood checking from three <i>Eucalyptus nitens</i> silvicultural trials and determined the predictability of wood checking from wood properties. We hypothesised that changed wind exposure and inter-tree competition due to thinning would increase wood checking. In total, 144 trees from two silvicultural treatments (thinned/unthinned) and three social status classes per site (dominant/subdominant/suppressed) were sampled. Regardless of site, social status and silvicultural treatment, longitudinal and radial variation within trees was the major source of variation in checking. Checking was concentrated longitudinally in bottom logs and radially in the middle of wedges, with a shift in checking towards the cambium in the thinned treatment. On average, dominant trees in the thinned treatment had higher levels of checking than dominant trees in unthinned treatments at all sites, but the opposite trend was found for suppressed trees. Wedge checking was poorly predicted using non-destructive traits assessed on standing trees. Our models accounted for at most 22% of the variation in wedge checking and the best predictors were the destructive measures of wedge collapse. With most checking occurring in lower logs, future studies should concentrate on reducing checking in bottom logs, which are typically pruned for clearwood products.
DOI: 10.6084/m9.figshare.25773418.v1
title: Effect of site, silviculture and tree social status on internal checking variation in plantation-grown <i>Eucalyptus nitens</i>

description: Internal checking is a wood-drying defect that affects many tree species, including eucalypts, and can adversely affect the recovery of high-quality timber. We studied the patterns of within- and between-tree variation in wood checking from three <i>Eucalyptus nitens</i> silvicultural trials and determined the predictability of wood checking from wood properties. We hypothesised that changed wind exposure and inter-tree competition due to thinning would increase wood checking. In total, 144 trees from two silvicultural treatments (thinned/unthinned) and three social status classes per site (dominant/subdominant/suppressed) were sampled. Regardless of site, social status and silvicultural treatment, longitudinal and radial variation within trees was the major source of variation in checking. Checking was concentrated longitudinally in bottom logs and radially in the middle of wedges, with a shift in checking towards the cambium in the thinned treatment. On average, dominant trees in the thinned treatment had higher levels of checking than dominant trees in unthinned treatments at all sites, but the opposite trend was found for suppressed trees. Wedge checking was poorly predicted using non-destructive traits assessed on standing trees. Our models accounted for at most 22% of the variation in wedge checking and the best predictors were the destructive measures of wedge collapse. With most checking occurring in lower logs, future studies should concentrate on reducing checking in bottom logs, which are typically pruned for clearwood products.
DOI: 10.15468/dl.z5anrn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((8.626693 39.875388,8.62707 39.875172,8.627919 39.874523,8.628625 39.874381,8.629282 39.874419,8.629657 39.874529,8.630078 39.874856,8.630313 39.87482,8.630596 39.874713,8.631067 39.874497,8.631913 39.874283,8.632617 39.874429,8.632852 39.87443,8.633276 39.874323,8.63445 39.874327,8.635295 39.874329,8.636282 39.874296,8.636799 39.874153,8.638378 39.868729,8.638944 39.868188,8.638098 39.868439,8.637346 39.868473,8.636314 39.868288,8.635093 39.86814,8.633496 39.868135,8.632183 39.867841,8.631104 39.867548,8.630117 39.867545,8.632048 39.86661,8.633322 39.865492,8.634455 39.864446,8.634973 39.864195,8.63634 39.863294,8.635591 39.862857,8.634794 39.862529,8.633481 39.862127,8.632871 39.862089,8.632214 39.86187,8.631885 39.861905,8.631463 39.861759,8.630947 39.861757,8.630666 39.861539,8.62888 39.861859,8.627563 39.862181,8.626621 39.862648,8.626245 39.862756,8.624599 39.86304,8.622859 39.863505,8.621779 39.863538,8.620138 39.863026,8.618685 39.862514,8.618121 39.86244,8.616855 39.86211,8.615962 39.86218,8.614932 39.861597,8.614419 39.861089,8.613852 39.861594,8.613379 39.862135,8.612718 39.862821,8.612154 39.862964,8.611774 39.863686,8.610825 39.865312,8.612466 39.865896,8.613027 39.866368,8.614055 39.86724,8.612363 39.867488,8.611187 39.86781,8.609865 39.869072,8.609298 39.869613,8.610096 39.869761,8.610753 39.869763,8.611599 39.869802,8.612491 39.869805,8.6131 39.87006,8.613357 39.874476,8.614061 39.874623,8.614765 39.874843,8.616217 39.875608,8.617159 39.875104,8.617535 39.875105,8.617723 39.87507,8.618101 39.874673,8.619041 39.874531,8.619746 39.874389,8.62017 39.874209,8.620593 39.87421,8.621297 39.874357,8.621718 39.874576,8.62242 39.875157,8.622936 39.875304,8.62317 39.875377,8.623262 39.875703,8.623402 39.875957,8.623729 39.876211,8.623822 39.876501,8.623679 39.876826,8.624426 39.877697,8.624471 39.878132,8.624373 39.878746,8.62437 39.879289,8.62451 39.879579,8.624367 39.879941,8.626808 39.880202,8.627748 39.880241,8.627936 39.880205,8.629019 39.879702,8.62832 39.87865,8.627251 39.876584,8.626693 39.875388)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030620-230530130749713/datasets/export for details.
DOI: 10.15468/dl.fnccme
title: Occurrence Download

description: A dataset containing 5504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Vultur gryphus Linnaeus, 1758",
 "Year 1950-2023"
 ]
}

 The dataset includes 5504 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0239619-230224095556074/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.24923770.v1
title: Pretreatment asthma control test score as a predictive score for clinical remission after bronchial thermoplasty in younger patients with severe asthma and preserved lung function

description: Bronchial thermoplasty (BT) decreases the incidence of asthma exacerbations, emergency room visits, and hospitalizations among patients with severe asthma. Predictors of BT effectiveness remain unclear as its mechanism of action and invasiveness remain obscure. This study aimed to identify factors that could predict BT outcomes. Two respiratory physicians treated 20 consecutive patients with severe asthma using BT. The patients were assigned to groups based on clinical remission following an expert consensus proposed in 2020. Predictors of clinical remission were analyzed using asthma control test (ACT) score, pulmonary function and blood tests, and fractional exhaled nitric oxide. At baseline, the median age was 44 years (interquartile range [IQR], 31.0–52.8), and pre-bronchodilator (pre-BD) percent predicted forced expiratory volume in one second (�V1) was 85.9% (IQR, 74.8–100.5). Six (30%) patients achieved clinical remission. Among the patients treated with biologics, 20% had clinical remission, and 20% discontinued biologic therapy. The pre-BT ACT score was significantly lower in the group with than without remission (11.0 [IQR, 8.0–14.5] vs. 15.0 [IQR, 11.0–17.3], <i>p</i> = .016). Adverse events did not significantly differ between the groups. To the best of our knowledge, this is the first study to use clinical remission as a criterion for evaluating BT efficacy. The pre-BT ACT score might a the predict response to BT in younger adult patients with severe asthma and pre-BD �V1 ≥ 70%.
DOI: 10.15468/dl.7fr9ar
title: Occurrence Download

description: A dataset listing the 53 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Monitoring ground arthropods in maize and pasture fields of São Miguel and São Jorge Islands: IPM-Popillia Project"
 ]
}

 The dataset's 53 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238022-230224095556074/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.24923770
title: Pretreatment asthma control test score as a predictive score for clinical remission after bronchial thermoplasty in younger patients with severe asthma and preserved lung function

description: Bronchial thermoplasty (BT) decreases the incidence of asthma exacerbations, emergency room visits, and hospitalizations among patients with severe asthma. Predictors of BT effectiveness remain unclear as its mechanism of action and invasiveness remain obscure. This study aimed to identify factors that could predict BT outcomes. Two respiratory physicians treated 20 consecutive patients with severe asthma using BT. The patients were assigned to groups based on clinical remission following an expert consensus proposed in 2020. Predictors of clinical remission were analyzed using asthma control test (ACT) score, pulmonary function and blood tests, and fractional exhaled nitric oxide. At baseline, the median age was 44 years (interquartile range [IQR], 31.0–52.8), and pre-bronchodilator (pre-BD) percent predicted forced expiratory volume in one second (�V1) was 85.9% (IQR, 74.8–100.5). Six (30%) patients achieved clinical remission. Among the patients treated with biologics, 20% had clinical remission, and 20% discontinued biologic therapy. The pre-BT ACT score was significantly lower in the group with than without remission (11.0 [IQR, 8.0–14.5] vs. 15.0 [IQR, 11.0–17.3], <i>p</i> = .016). Adverse events did not significantly differ between the groups. To the best of our knowledge, this is the first study to use clinical remission as a criterion for evaluating BT efficacy. The pre-BT ACT score might a the predict response to BT in younger adult patients with severe asthma and pre-BD �V1 ≥ 70%.
DOI: 10.6084/m9.figshare.25664918
title: YiQi GuBen capsule alleviates OVA-induced asthma through improving mitochondrial dysfunction

description: <b>Objective:</b> This study aims to explore the effect of YiQi GuBen capsule on improving mitochondrial dysfunction in an animal model of asthma.<b>Methods: </b>The mice (<i>n</i> = 8) were divided into four groups including control (NC), ovalbumin (OVA), dexamethasone (OVA + DEX), and YiQi GuBen (OVA + YQGB) groups. Firstly, we established an OVA-induced mouse asthma model except for the NC group, which then were treated with dexamethasone and YiQi GuBen capsule. Subsequently, HE staining and Masson staining were used for pathological analysis of mice lung tissues. Next, we used transmission electron microscopy (TEM) to observe the effect of the Yiqi Guben capsule on the ultrastructure of mitochondria. Flow cytometry was used to analyze the ROS level, membrane potential, and the number of mitochondria in lung tissue. Moreover, we analyzed the copy number of mitochondrial DNA (mtDNA) and the expression levels of activator peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α) and mitochondrial transcription factor A (TFAM).<b>Results:</b> The results of the pathological analysis showed that after treatment with the YiQi GuBen capsule, the lung tissue damage was significantly reduced. In addition, we observed that the ultrastructural damage of mitochondria was improved. Flow cytometry proved that after treatment with the YiQi GuBen capsule, the level of ROS in the mitochondria was effectively reduced, while the mitochondrial membrane potential decreased and the number increased significantly. Moreover, we found that the copy number of mtDNA was significantly increased and the expression levels of PGC-1α and TFAM were significantly upgraded.<b>Conclusion:</b> This study suggests YiQi GuBen capsule can effectively improve mitochondrial dysfunction in the OVA-induced mouse model.
DOI: 10.15468/dl.n28p24
title: Occurrence Download

description: A dataset containing 22635 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inner Oslofjorden Phytoplankton Database"
 ]
}

 The dataset includes 22635 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010208-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.