cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29627666.v2
title: Additive Multi-Index Gaussian Process Modeling, with Application to Multi-Physics Surrogate Modeling of the Quark-Gluon Plasma

description: The Quark-Gluon Plasma (QGP) is a unique phase of nuclear matter, theorized to have filled the Universe shortly after the Big Bang. A critical challenge in studying the QGP is that, to reconcile experimental observables with theoretical parameters, one requires many simulation runs of a complex physics model over a high-dimensional parameter space. Each run is computationally expensive, requiring thousands of CPU hours, thus limiting physicists to only several hundred runs. Given limited training data for high-dimensional prediction, existing surrogate models often yield poor predictions with high predictive uncertainties, leading to imprecise scientific findings. To address this, we propose a new Additive Multi-Index Gaussian process (AdMIn-GP) model, which leverages a flexible additive structure on low-dimensional embeddings of the parameter space. This is guided by prior scientific knowledge that the QGP is dominated by multiple distinct physical phenomena (i.e., multi-physics), each involving a small number of latent parameters. The AdMIn-GP models for such embedded structure within a flexible Bayesian nonparametric framework, which facilitates efficient model fitting via a carefully constructed variational inference approach with inducing points. We show the effectiveness of the AdMIn-GP via a suite of numerical experiments and our QGP application, where we demonstrate considerably improved surrogate modeling performance over existing models. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29627666.v1
title: Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma

description: The Quark-Gluon Plasma (QGP) is a unique phase of nuclear matter, theorized to have filled the Universe shortly after the Big Bang. A critical challenge in studying the QGP is that, to reconcile experimental observables with theoretical parameters, one requires many simulation runs of a complex physics model over a high-dimensional parameter space. Each run is computationally expensive, requiring thousands of CPU hours, thus limiting physicists to only several hundred runs. Given limited training data for high-dimensional prediction, existing surrogate models often yield poor predictions with high predictive uncertainties, leading to imprecise scientific findings. To address this, we propose a new Additive Multi-Index Gaussian process (AdMIn-GP) model, which leverages a flexible additive structure on low-dimensional embeddings of the parameter space. This is guided by prior scientific knowledge that the QGP is dominated by multiple distinct physical phenomena (i.e., multi-physics), each involving a small number of latent parameters. The AdMIn-GP models for such embedded structure within a flexible Bayesian nonparametric framework, which facilitates efficient model fitting via a carefully constructed variational inference approach with inducing points. We show the effectiveness of the AdMIn-GP via a suite of numerical experiments and our QGP application, where we demonstrate considerably improved surrogate modeling performance over existing models.
DOI: 10.6084/m9.figshare.29574346
title: Integrated Path Stability Selection

description: Stability selection is a popular method for improving feature selection algorithms. One of its key attributes is that it provides theoretical upper bounds on the expected number of false positives, E(FP), enabling false positive control in practice. However, stability selection often selects few features because existing bounds on E(FP) are relatively loose. In this article, we introduce a novel approach to stability selection based on integrating stability paths rather than maximizing over them. This yields upper bounds on E(FP) that are much stronger than previous bounds, leading to significantly more true positives in practice for the same target E(FP). Furthermore, our method requires no more computation than the original stability selection algorithm. We demonstrate the method on simulations and real data from two cancer studies. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29574346.v2
title: Integrated Path Stability Selection

description: Stability selection is a popular method for improving feature selection algorithms. One of its key attributes is that it provides theoretical upper bounds on the expected number of false positives, E(FP), enabling false positive control in practice. However, stability selection often selects few features because existing bounds on E(FP) are relatively loose. In this article, we introduce a novel approach to stability selection based on integrating stability paths rather than maximizing over them. This yields upper bounds on E(FP) that are much stronger than previous bounds, leading to significantly more true positives in practice for the same target E(FP). Furthermore, our method requires no more computation than the original stability selection algorithm. We demonstrate the method on simulations and real data from two cancer studies. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29574346.v1
title: Integrated path stability selection

description: Stability selection is a popular method for improving feature selection algorithms. One of its key attributes is that it provides theoretical upper bounds on the expected number of false positives, E(FP), enabling false positive control in practice. However, stability selection often selects few features because existing bounds on E(FP) are relatively loose. In this paper, we introduce a novel approach to stability selection based on integrating stability paths rather than maximizing over them. This yields upper bounds on E(FP) that are much stronger than previous bounds, leading to significantly more true positives in practice for the same target E(FP). Furthermore, our method requires no more computation than the original stability selection algorithm. We demonstrate the method on simulations and real data from two cancer studies.
DOI: 10.6084/m9.figshare.30066910
title: EucFACE - lag analysis

description: RData image for doing lag analysis with miseq data
DOI: 10.6084/m9.figshare.30066910.v1
title: EucFACE - lag analysis

description: RData image for doing lag analysis with miseq data
DOI: 10.15468/dl.n7x78z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Distichodus microps, Distichodus mossambicus, Distichodus nefasch, Distichodus noboli, Distichodus notospilus, Distichodus petersii, Distichodus rostratus, Distichodus rufigiensis, Distichodus schenga, Distichodus sexfasciatus, Dundocharax bidentatus, Eugnathichthys eetveldii, Eugnathichthys macroterolepis, Ichthyborus besse, Ichthyborus monodi, Ichthyborus ornatus, Ichthyborus quadrilineatus, Mesoborus crocodilus, Microstomatichthyoborus bashforddeani, Microstomatichthyoborus katangae, Monostichodus elongatus, Hemistichodus lootensi, Monostichodus lootensi, Hemistichodus mesmaekersi, Monostichodus mesmaekersi, Hemistichodus vaillanti, Nannaethiops unitaeniatus, Nannocharax altus, Hemigrammocharax angolensis, Nannocharax angolensis, Nannocharax ansorgii, Nannocharax brevis, Nannocharax elongatus, Nannocharax fasciatus, Nannocharax fasciolaris, Nannocharax gracilis, Nannocharax hollyi, Nannocharax intermedius, Nannocharax latifasciatus, Nannocharax lineomaculatus, Hemigrammocharax lineostriatus, Nannocharax lineostriatus, Nannocharax luapulae, Hemigrammocharax machadoi, Nannocharax machadoi, Nannocharax macropterus, Nannocharax maculicauda, Nannocharax micros, Hemigrammocharax minutus, Nannocharax minutus, Hemigrammocharax monardi, Nannocharax monardi, Hemigrammocharax multifasciatus, Nannocharax multifasciatus, Nannocharax niloticus, Nannocharax occidentalis, Hemigrammocharax ocellicauda, Nannocharax ocellicauda, Nannocharax ogoensis, Nannocharax parvus, Nannocharax procatopus, Nannocharax pteron, Nannocharax reidi, Nannocharax rubrolabiatus, Nannocharax schoutedeni, Nannocharax seyboldi, Nannocharax taenia, Hemigrammocharax uniocellatus, Nannocharax uniocellatus, Hemigrammocharax wittei, Nannocharax wittei, Neolebias ansorgii, Neolebias axelrodi, Neolebias gossei, Neolebias gracilis, Neolebias kerguennae, Neolebias lozii, Neolebias philippei, Neolebias powelli, Neolebias spilotaenia, Neolebias trewavasae, Neolebias trilineatus, Neolebias unifasciatus, Paradistichodus dimidiatus, Paraphago rostratus, Phago boulengeri, Phago intermedius, Phago loricatus, Xenocharax crassus, Hepsetus cuvieri, Hepsetus kingsleyae, Hepsetus lineatus, Hepsetus occidentalis, Hepsetus odoe, Alosa agone, Alosa algeriensis, Alosa alosa, Alosa fallax, Congothrissa gossei, Ethmalosa fimbriata)",
 "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 ((58.3101 -20.2751,58.2432 -19.5708,57.8054 -19.3157,57.2737 -19.5421,56.8082 -20.4638,57.1232 -20.9316,57.7947 -20.9681,58.1423 -20.734,58.3101 -20.2751))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032634-250827131500795/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12972948
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6nrsf4
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago littoralis",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 90 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032635-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqm7wg
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago littoralis",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032636-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zesvf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Medicago littoralis",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032637-250827131500795/datasets/export for details.
DOI: 10.15468/dl.nv3a8d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Distichodus microps, Distichodus mossambicus, Distichodus nefasch, Distichodus noboli, Distichodus notospilus, Distichodus petersii, Distichodus rostratus, Distichodus rufigiensis, Distichodus schenga, Distichodus sexfasciatus, Dundocharax bidentatus, Eugnathichthys eetveldii, Eugnathichthys macroterolepis, Ichthyborus besse, Ichthyborus monodi, Ichthyborus ornatus, Ichthyborus quadrilineatus, Mesoborus crocodilus, Microstomatichthyoborus bashforddeani, Microstomatichthyoborus katangae, Monostichodus elongatus, Hemistichodus lootensi, Monostichodus lootensi, Hemistichodus mesmaekersi, Monostichodus mesmaekersi, Hemistichodus vaillanti, Nannaethiops unitaeniatus, Nannocharax altus, Hemigrammocharax angolensis, Nannocharax angolensis, Nannocharax ansorgii, Nannocharax brevis, Nannocharax elongatus, Nannocharax fasciatus, Nannocharax fasciolaris, Nannocharax gracilis, Nannocharax hollyi, Nannocharax intermedius, Nannocharax latifasciatus, Nannocharax lineomaculatus, Hemigrammocharax lineostriatus, Nannocharax lineostriatus, Nannocharax luapulae, Hemigrammocharax machadoi, Nannocharax machadoi, Nannocharax macropterus, Nannocharax maculicauda, Nannocharax micros, Hemigrammocharax minutus, Nannocharax minutus, Hemigrammocharax monardi, Nannocharax monardi, Hemigrammocharax multifasciatus, Nannocharax multifasciatus, Nannocharax niloticus, Nannocharax occidentalis, Hemigrammocharax ocellicauda, Nannocharax ocellicauda, Nannocharax ogoensis, Nannocharax parvus, Nannocharax procatopus, Nannocharax pteron, Nannocharax reidi, Nannocharax rubrolabiatus, Nannocharax schoutedeni, Nannocharax seyboldi, Nannocharax taenia, Hemigrammocharax uniocellatus, Nannocharax uniocellatus, Hemigrammocharax wittei, Nannocharax wittei, Neolebias ansorgii, Neolebias axelrodi, Neolebias gossei, Neolebias gracilis, Neolebias kerguennae, Neolebias lozii, Neolebias philippei, Neolebias powelli, Neolebias spilotaenia, Neolebias trewavasae, Neolebias trilineatus, Neolebias unifasciatus, Paradistichodus dimidiatus, Paraphago rostratus, Phago boulengeri, Phago intermedius, Phago loricatus, Xenocharax crassus, Hepsetus cuvieri, Hepsetus kingsleyae, Hepsetus lineatus, Hepsetus occidentalis, Hepsetus odoe, Alosa agone, Alosa algeriensis, Alosa alosa, Alosa fallax, Congothrissa gossei, Ethmalosa fimbriata)",
 "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 ((63.2761 -20.2678,63.6834 -20.2184,63.9886 -19.8334,63.9308 -19.4311,63.5893 -19.1874,63.1146 -19.2368,62.8095 -19.6209,62.8573 -19.9632,63.2761 -20.2678))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032639-250827131500795/datasets/export for details.
DOI: 10.25934/pr00011487
title: The Association between Beta-blockers and Outcomes in Triple Negative Breast Cancer

description: Breast cancer is the most common type of cancer in women and the leading cause of cancer-related death among women around the world. Many people with breast cancer also have other long-term health conditions—known as comorbidities—such as heart disease. This is partly because breast cancer and heart problems can share similar risk factors, like age, lifestyle, or certain medical conditions.
Some people with heart disease are prescribed beta-blockers, which are medications that help lower blood pressure and reduce the heart’s workload. Interestingly, several studies have suggested that people who take beta-blockers for heart problems may also experience better breast cancer outcomes. 

This possible benefit of beta-blockers seems especially important in a form of breast cancer called triple-negative breast cancer (TNBC). TNBC is a fast-growing type of breast cancer that does not respond to common hormone-based treatments. Some breast cancers are affected by different hormones in the body, which can make them grow faster. Hormone therapy uses medicines to either lower the amount of certain hormones in the body or block certain hormones from getting to breast cancer cells. It is often more difficult to treat, and outcomes can be poorer than for other types of breast cancer.

Endocrine therapy (ET) is a cornerstone in the treatment of hormone receptor-positive breast cancer (approximately 60-70% of all). Its primary rationale is to block or reduce the production of hormones, such as estrogen and progesterone, that promote the growth of certain breast cancer cells. By antagonizing hormone receptors or decreasing hormone levels, endocrine therapy can inhibit tumor proliferation, induce tumor regression, and reduce the risk of recurrence. This approach is especially effective in tumors that express estrogen receptors (ER) and/or progesterone receptors (PR), which rely on hormones for growth.
Common endocrine therapies include selective estrogen receptor modulators (e.g., tamoxifen), aromatase inhibitors (e.g., anastrozole, letrozole), and ovarian suppression methods. These approaches are used in localized and advanced breast cancer settings.

Note however, ET is not an option in triple negative breast cancer (approximately 15-20% of all) as tumors not expressing hormone-receptors for estrogen or progesterone do not derive benefit for this kind of therapeutic approach.

Recent research has shown that beta-blockers may help slow the growth of cancer cells and may also strengthen the immune system’s ability to fight cancer. Because the standard treatment for advanced TNBC includes chemotherapy (to kill cancer cells) and immunotherapy (to help the body’s immune system target cancer), it is important to explore whether beta-blockers might improve how well these treatments work.
Our study will investigate whether taking beta-blockers is linked to better outcomes in patients receiving chemotherapy and immunotherapy for advanced triple-negative breast cancer.
DOI: 10.17026/dans-xrd-8xxj
title: Proefsleuvenonderzoek 's-Heerenberg Diekmansweide (ong.) Proefsleuvenonderzoek aan de Diekmansweide (ong.) te 's-Heerenberg in de gemeente Montferland

description: &lt;p&gt;Tijdens het proefsleuvenonderzoek in het plangebied aan de Diekmansweide (ong.) te 's-Heerenberg zijn twee proefsleuven aangelegd met een gezamenlijke oppervlakte van circa 160 m². De grotendeels intacte bodemopbouw betreft een hoge enkeerdgrond met onderliggend holtpodzolprofiel, gevolgd door (gordel)dekzandafzettingen met direct daaronder vlechtende rivierterrasafzettingen.&lt;br&gt;In één werkput zijn sporen aangetroffen die dateren uit de Nieuwe tijd, namelijk (paal)kuilen en een greppel. Er is geen vondstmateriaal aangetroffen. De sporen worden tot een nieuwetijdse vindplaats gerekend, een niet-opgehoogde nederzetting zonder stedelijk karakter.&lt;/p&gt;
DOI: 10.25345/c5nz8134s
title: MassIVE MSV000099061 - Chemoproteomic analysis of BAX engagement by protein-directed ABPP
title: Comprehensive analysis of BAX inhibitor treated human cells and mouse liver by functionalized probes.
DOI: 10.17026/dans-29w-5ett
title: Archeologische begeleiding Doorwerth Cardanuslaan Archeologische begeleiding aan de Cardanuslaan te Doorwerth in de gemeente Renkum

description: &lt;p&gt;Tijdens het onderzoek is gebleken dat het merendeel van de uitgevoerde bodemingrepen niet dieper reikte dan de recente verstoringen. Tussen de recente verstoringen, in de ongeroerde Bws-, BC- of C-horizont zijn geen archeologische sporen of vondsten waargenomen.&lt;/p&gt;
DOI: 10.17026/dans-24r-fy2y
title: Proefsleuvenonderzoek Oud-Gastel Bernardushof Proefsleuvenonderzoek aan de Bernardushof te Oud-Gastel in de gemeente Halderberge

description: &lt;p&gt;Tijdens het proefsleuvenonderzoek in het plangebied aan de Bernardushof te Oud-Gastel zijn acht proefsleuven aangelegd. In totaal zijn 27 sporen geregistreerd. Naast recente verstoringen en natuurlijke sporen, zijn in werkput 1 vijf concentraties van menselijke resten aangetroffen. Deze concentraties zijn te relateren aan het voormalige kerkhof van Oud-Gastel, welke in gebruik was tot 1870. In werkput 3/4 is een kleine kelder en een fundering van een muur aangetroffen. Deze zijn te dateren aan het begin van de Nieuwe tijd. In werkput 3/4 en werkput 5 zijn enkele (paal)kuilen aangetroffen, en zowel in werkput 5 als werkput 7 is dezelfde greppel gevonden. De datering van de (paal)kuilen en de greppel is onbekend. In de overige werkputten werden geen archeologische sporen aangetroffen.&lt;/p&gt;&lt;p&gt;In totaal zijn drie vindplaatsen te onderscheiden. Het betreft de resten van het voormalig kerkhof uit werkput 1, de structuren behorend tot de historische kern van Oud-Gastel (de kelder en het muurfundament) uit werkput 3/4, en de overige sporen. Onder de overige sporen vallen de (paal)kuilen en de greppel. Van deze sporen is de datering onbekend. De resten van het voormalige kerkhof en de structuren behorend tot de historische kern zijn te dateren in de Nieuwe tijd. Uit de waardering volgens door de KNA voorgeschreven wijze blijkt dat de vindplaatsen die zijn aangetroffen niet behoudenswaardig zijn.&lt;/p&gt;&lt;p&gt;De lage waardering van de vindplaatsen leidt tot een selectieadvies: niet behoudenswaardig. Het selectieadvies is daarom ook om geen vervolgonderzoek uit te voeren en het plangebied vrij te geven voor verdere ontwikkeling.&lt;/p&gt;
DOI: 10.15468/dl.g58efw
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.03 14.591,-90.992 14.591,-90.992 14.648,-91.03 14.648,-91.03 14.591))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 63 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032641-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nyp6xy
title: Occurrence Download

description: A dataset containing 29016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Material citation, Material sample)",
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (Actualización de la base de datos del Atlas Mastozoológico de México, Distribución histórica, prospección actual y áreas potenciales para reintroducir lobo mexicano (Canis lupus baileyi) en Durango, sur de la Sierra Madre Occidental, México, Biodiversidad de los mamíferos en el Estado de Michoacán, CNMA/Colección Nacional de mamíferos)",
 "Geometry POLYGON((-106.32153 23.52642,-105.0597 19.74092,-100.01237 16.13569,-94.96504 18.83962,-98.20975 23.88695,-106.32153 23.52642))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 29016 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032640-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/cy66y6wm
title: Biweekly discrete hydrographic measurements of Laguna Salada and Los Olmos Creek obtained from 2023-02-15 to 2024-01-31