cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7984920
title: Data set related to the article: "The Longevity-Associated Variant of BPIFB4 Reduces Senescence in Glioma Cells and in Patients' Lymphocytes Favoring Chemotherapy Efficacy"

description: Abstract: Glioblastoma (GBM) is the most common primary brain cancer with the median age at diagnosis around 64 years, thus pointing to aging as an important risk factor. Indeed, aging, by increasing the senescence burden, is configured as a negative prognostic factor for GBM stage. Furthermore, several anti-GBM therapies exist, such as temozolomide (TMZ) and etoposide (ETP), that unfortunately trigger senescence and the secretion of proinflammatory senescence-associated secretory phenotype (SASP) factors that are responsible for the improper burst of (i) tumorigenesis, (ii) cancer metastasis, (iii) immunosuppression, and (iv) tissue dysfunction. Thus, adjuvant therapies that limit senescence are urgently needed. The longevity-associated variant (LAV) of the bactericidal/permeability-increasing fold-containing family B member 4 (BPIFB4) gene previously demonstrated a modulatory activity in restoring age-related immune dysfunction and in balancing the low-grade inflammatory status of elderly people. Based on the above findings, we tested LAV- BPIFB4 senotherapeutic effects on senescent glioblastoma U87-MG cells and on T cells from GBM patients. We interrogated SA-β-gal and HLA-E senescence markers, SASP factors, and proliferation and apoptosis assays. The results highlighted a LAV-BPIFB4 remodeling of the senescent phenotype of GBM cells, enhancement of their sensitivity to temozolomide and a selective reduction of the T cells’ senescence from GBM patients. Overall, these findings candidate LAV-BPIFB4 as an adjuvant therapy for GBM.
DOI: 10.21335/nmdc-39569968_nleg09
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station NLEG09 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station NLEG09 taken on 2019-08-13T12:12:00Z at 79.2492°N and 34.0018°E.
DOI: 10.21335/nmdc-39569968_nleg10
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station NLEG10 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station NLEG10 taken on 2019-08-13T14:26:00Z at 79.5002°N and 33.9966°E.
DOI: 10.21335/nmdc-39569968_p4(nleg11)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station P4 (NLEG11) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station P4 (NLEG11) taken on 2019-08-14T07:24:00Z at 79.6932°N and 34.23°E.
DOI: 10.21335/nmdc-39569968_nleg12
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station NLEG12 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station NLEG12 taken on 2019-08-15T08:22:00Z at 79.9982°N and 33.9961°E.
DOI: 10.21335/nmdc-39569968_p5(nleg13)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station P5 (NLEG13) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station P5 (NLEG13) taken on 2019-08-16T00:23:00Z at 80.5289°N and 33.9602°E.
DOI: 10.21335/nmdc-39569968_nleg14
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station NLEG14 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station NLEG14 taken on 2019-08-16T23:06:00Z at 81.0018°N and 33.9996°E.
DOI: 10.21335/nmdc-39569968_nleg15
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station NLEG15 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station NLEG15 taken on 2019-08-17T05:56:00Z at 81.3118°N and 31.3503°E.
DOI: 10.21335/nmdc-39569968_nleg19
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station NLEG19 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station NLEG19 taken on 2019-08-17T10:04:00Z at 81.4593°N and 31.0778°E.
DOI: 10.21335/nmdc-39569968_p6(nleg21)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station P6 (NLEG21) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station P6 (NLEG21) taken on 2019-08-18T11:49:00Z at 81.572°N and 31.2128°E.
DOI: 10.21335/nmdc-39569968_nleg23
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station NLEG23 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station NLEG23 taken on 2019-08-19T18:57:00Z at 81.6165°N and 30.6529°E.
DOI: 10.21335/nmdc-39569968_nleg24
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station NLEG24 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station NLEG24 taken on 2019-08-19T22:24:00Z at 81.683°N and 30.5225°E.
DOI: 10.21335/nmdc-39569968_p7(nleg25)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station P7 (NLEG25) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station P7 (NLEG25) taken on 2019-08-21T03:43:00Z at 81.9262°N and 29.1396°E.
DOI: 10.21335/nmdc-39569968_sice4
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019706 (from August 5th to 27th in 2019) at station SICE4 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise (2019706). The data are collected from a CTD-rosette with Niskin bottles from station SICE4 taken on 2019-08-24T03:02:00Z at 81.9957°N and 24.9952°E.
DOI: 10.21335/nmdc-2099951995_p1(nleg01)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019711 (from November 28th to December 17th in 2019) at station P1 (NLEG01) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q4' cruise (2019711). The data are collected from a CTD-rosette with Niskin bottles from station P1 (NLEG01) taken on 2019-12-12T16:11:00Z at 75.9996159666667°N and 31.2190219166667°E.
DOI: 10.21335/nmdc-2099951995_p2(nleg04)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019711 (from November 28th to December 17th in 2019) at station P2 (NLEG04) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q4' cruise (2019711). The data are collected from a CTD-rosette with Niskin bottles from station P2 (NLEG04) taken on 2019-12-10T16:38:00Z at 77.4996566666667°N and 34.0050577166667°E.
DOI: 10.21335/nmdc-2099951995_p3(nleg07)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019711 (from November 28th to December 17th in 2019) at station P3 (NLEG07) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q4' cruise (2019711). The data are collected from a CTD-rosette with Niskin bottles from station P3 (NLEG07) taken on 2019-12-09T20:00:00Z at 78.7495365833333°N and 33.9958946°E.
DOI: 10.21335/nmdc-2099951995_p4(nleg11)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019711 (from November 28th to December 17th in 2019) at station P4 (NLEG11) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q4' cruise (2019711). The data are collected from a CTD-rosette with Niskin bottles from station P4 (NLEG11) taken on 2019-12-08T14:28:00Z at 79.7423314166667°N and 34.02608305°E.
DOI: 10.21335/nmdc-2099951995_p5(nleg13)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019711 (from November 28th to December 17th in 2019) at station P5 (NLEG13) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q4' cruise (2019711). The data are collected from a CTD-rosette with Niskin bottles from station P5 (NLEG13) taken on 2019-12-06T23:35:00Z at 80.5376065°N and 34.3176957666667°E.
DOI: 10.21335/nmdc-2099951995_p6(nleg21)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019711 (from November 28th to December 17th in 2019) at station P6 (NLEG21) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q4' cruise (2019711). The data are collected from a CTD-rosette with Niskin bottles from station P6 (NLEG21) taken on 2019-12-05T03:55:00Z at 81.54648205°N and 30.8399219666667°E.
DOI: 10.21335/nmdc-2099951995_p7(nleg25)
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2019711 (from November 28th to December 17th in 2019) at station P7 (NLEG25) in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q4' cruise (2019711). The data are collected from a CTD-rosette with Niskin bottles from station P7 (NLEG25) taken on 2019-12-03T00:23:00Z at 82.0697972333333°N and 28.4972549833333°E.
DOI: 10.21335/nmdc-39569968_nleg02
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2021703 (from March 2nd to 24th in 2021) at station NLEG02 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2021 Seasonal Study Q1' cruise (2021703). The data are collected from a CTD-rosette with Niskin bottles from station NLEG02 taken on 2021-03-06T14:28:16.307Z at 76.4998886666667°N and 31.2216893833333°E.
DOI: 10.21335/nmdc-39569968_nleg03
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruise 2021703 (from March 2nd to 24th in 2021) at station NLEG03 in the Northern Barents Sea

description: This dataset is a collection of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2021 Seasonal Study Q1' cruise (2021703). The data are collected from a CTD-rosette with Niskin bottles from station NLEG03 taken on 2021-03-06T22:03:50.413Z at 76.9987059666667°N and 33.9957266°E.
DOI: 10.5519/qd.sdka40f6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4 records)
DOI: 10.5281/zenodo.7986023
title: Supplementary Material for Nine tips for ecologists using machine learning

description: R code and data to reproduce the analysis in "Nine tips for ecologists using machine learning" (https://arxiv.org/abs/2305.10472)
DOI: 10.5281/zenodo.7986022
title: Supplementary Material for Nine tips for ecologists using machine learning

description: R code and data to reproduce the analysis in "Nine tips for ecologists using machine learning" (https://arxiv.org/abs/2305.10472)
DOI: 10.6084/m9.figshare.22626922.v2
title: Bonferroni Type Tests for Return Predictability and the Initial Condition

description: We develop tests for predictability that are robust to both the magnitude of the initial condition and the degree of persistence of the predictor. While the popular Bonferroni <i>Q</i> test of Campbell and Yogo displays excellent power properties for strongly persistent predictors with an asymptotically negligible initial condition, it can suffer from severe size distortions and power losses when either the initial condition is asymptotically non-negligible or the predictor is weakly persistent. The Bonferroni <i>t</i> test of Elliott, and Stock, although displaying power well below that of the Bonferroni <i>Q</i> test for strongly persistent predictors with an asymptotically negligible initial condition, displays superior size control and power when the initial condition is asymptotically nonnegligible. In the case where the predictor is weakly persistent, a conventional regression <i>t</i> test comparing to standard normal quantiles is known to be asymptotically optimal under Gaussianity. Based on these properties, we propose two asymptotically size controlled hybrid tests that are functions of the Bonferroni <i>Q</i>, Bonferroni <i>t</i>, and conventional <i>t</i> tests. Our proposed hybrid tests exhibit very good power regardless of the magnitude of the initial condition or the persistence degree of the predictor. An empirical application to the data originally analyzed by Campbell and Yogo shows our new hybrid tests are much more likely to find evidence of predictability than the Bonferroni <i>Q</i> test when the initial condition of the predictor is estimated to be large in magnitude.
DOI: 10.6084/m9.figshare.22658875
title: Simple Inference on Functionals of Set-Identified Parameters Defined by Linear Moments

description: This article proposes a new approach to obtain uniformly valid inference for linear functionals or scalar subvectors of a partially identified parameter defined by linear moment inequalities. The procedure amounts to bootstrapping the value functions of randomly perturbed linear programming problems, and does not require the researcher to grid over the parameter space. The low-level conditions for uniform validity rely on genericity results for linear programs. The unconventional perturbation approach produces a confidence set with a coverage probability of 1 over the identified set, but obtains exact coverage on an outer set, is valid under weak assumptions, and is computationally simple to implement.
DOI: 10.6084/m9.figshare.22626922
title: Bonferroni Type Tests for Return Predictability and the Initial Condition

description: We develop tests for predictability that are robust to both the magnitude of the initial condition and the degree of persistence of the predictor. While the popular Bonferroni <i>Q</i> test of Campbell and Yogo displays excellent power properties for strongly persistent predictors with an asymptotically negligible initial condition, it can suffer from severe size distortions and power losses when either the initial condition is asymptotically non-negligible or the predictor is weakly persistent. The Bonferroni <i>t</i> test of Elliott, and Stock, although displaying power well below that of the Bonferroni <i>Q</i> test for strongly persistent predictors with an asymptotically negligible initial condition, displays superior size control and power when the initial condition is asymptotically nonnegligible. In the case where the predictor is weakly persistent, a conventional regression <i>t</i> test comparing to standard normal quantiles is known to be asymptotically optimal under Gaussianity. Based on these properties, we propose two asymptotically size controlled hybrid tests that are functions of the Bonferroni <i>Q</i>, Bonferroni <i>t</i>, and conventional <i>t</i> tests. Our proposed hybrid tests exhibit very good power regardless of the magnitude of the initial condition or the persistence degree of the predictor. An empirical application to the data originally analyzed by Campbell and Yogo shows our new hybrid tests are much more likely to find evidence of predictability than the Bonferroni <i>Q</i> test when the initial condition of the predictor is estimated to be large in magnitude.
DOI: 10.6084/m9.figshare.22626922.v1
title: Bonferroni Type Tests for Return Predictability and the Initial Condition<sup>*</sup>

description: We develop tests for predictability that are robust to both the magnitude of the initial condition and the degree of persistence of the predictor. While the popular Bonferroni Q test of Campbell and Yogo (2006) displays excellent power properties for strongly persistent predictors with an asymptotically negligible initial condition, it can suffer from severe size distortions and power losses when either the initial condition is asymptotically non-negligible or the predictor is weakly persistent. The Bonferroni t test of Cavanagh et al. (1995), although displaying power well below that of the Bonferroni Q test for strongly persistent predictors with an asymptotically negligible initial condition, displays superior size control and power when the initial condition is asymptotically non-negligible. In the case where the predictor is weakly persistent, a conventional regression t test comparing to standard normal quantiles is known to be asymptotically optimal under Gaussianity. Based on these properties, we propose two asymptotically size controlled hybrid tests that are functions of the Bonferroni Q, Bonferroni t, and conventional t tests. Our proposed hybrid tests exhibit very good power regardless of the magnitude of the initial condition or the persistence degree of the predictor. An empirical application to the data originally analysed by Campbell and Yogo (2006) shows our new hybrid tests are much more likely to find evidence of predictability than the Bonferroni Q test when the initial condition of the predictor is estimated to be large in magnitude.