cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10471553
title: Datasets used in "Global LHC constraints on electroweak-inos with SModelS v2.3"

description: Input SLHA and SModelS output (.smodels and .py) files from the paper "Global LHC constraints on electroweak-inos with SModelS v2.3". The datasets comprises 18247 electroweak-ino scan points and can be used to reproduce results in sections 4 and 5, and in appendix B.



ewino_slhaFiles.tar.gz : input SLHA files including mass spectra, decay tables and cross sections.

ewino_smodels_mmg10.tar.gz : SModelS outputs with a minmassgap of 10 GeV (value used for the results presented in the main text, used for Figures 12-21). All the 18247 scan points present in the directory were obtained using this minmassgap.

ewino_smodels_mmg05.tar.gz : SModelS outputs with a minmassgap of 5 GeV (value used in appendix B, used for Figures 23 and 24). All the 18247 scan points present in the directory were obtained using this minmassgap.

ewino_smodels_mmg15.tar.gz : SModelS outputs with a minmassgap of 15 GeV (value used in appendix B, used for Figures 23 and 24). Only the points with a mass difference between the next-to-lightest neutralino and the lightest neutralino, or the next-to-lightest neutralino and the lightest chargino, or the lightest chargino and the lightest neutralino comprised between 10 and 15 GeV were computed using this minmassgap. This corresponds to 1732 scan points, which are listed in the summary.txt present in the compressed directory. The results for the remaining points were obtained using a minmassgap of 10 GeV.

ewino_smodels_mmg20.tar.gz : SModelS outputs with a minmassgap of 20 GeV (value used in appendix B, used for Figures 23 and 24). Only the points with a mass difference between the next-to-lightest neutralino and the lightest neutralino, or the next-to-lightest neutralino and the lightest chargino, or the lightest chargino and the lightest neutralino comprised between 15 and 20 GeV were computed using this minmassgap. This corresponds to 870 scan points, which are listed in the summary.txt present in the compressed directory. The results for the remaining points were obtained using a minmassgap of 15 or 10 GeV (depending on the mass difference condition mentioned in the previous paragraph).

combinability_matrix.py: python dictionnary modelling the combinability matrix (Figure 11).
description: MMA is supported by the French Agence Nationale de la Recherche (ANR) under grant ANR-21-CE31-0023 (PRCI SLDNP). SN is supported by the Austrian Science Fund (FWF) under grant number I 5767-N. TP is supported by the Initiatives de Recherche à Grenoble Alpes (IRGA) ANR-15-IDEX-02 project no. G7H-IRG21B26 (APM@LHC). AL is supported by FAPESP grant no. 2018/25225-9 and 2021/01089-1. The work presented here was, moreover, supported in part by the IN2P3 master project “Théorie – BSMGA”.
DOI: 10.6084/m9.figshare.24119496
title: <b>Data for "Skin microbiome disturbance linked to drought-associated amphibian disease"</b>

description: The onset of global climate change has led to abnormal rainfall patterns, disrupting associations between wildlife and their symbiotic microorganisms. We monitored a population of pumpkin toadlets and their skin bacteria in the Brazilian Atlantic Forest during a drought. Given the recognized ability of some amphibian skin bacteria to inhibit the widespread fungal pathogen <i>Batrachochytrium dendrobatidis</i> (Bd), we investigated links between skin microbiome health, susceptibility to Bd, and host mortality during a die-off event. Rainfall deficit was an indirect predictor of Bd loads through microbiome disruption, while its direct effect on Bd was weak. The microbiome exhibited reduced putative Bd-inhibitory function following the drought, independent of infection status, and our findings pointed to a one-month lagged effect of drought on the microbiome that increased toadlet susceptibility to Bd. Our study underscores the capacity of rainfall variability to disturb complex host-microbiome interactions and disrupt wildlife disease dynamics.
DOI: 10.6084/m9.figshare.24119496.v1
title: <b>Data for "Skin microbiome disturbance linked to drought-associated amphibian disease"</b>

description: The onset of global climate change has led to abnormal rainfall patterns, disrupting associations between wildlife and their symbiotic microorganisms. We monitored a population of pumpkin toadlets and their skin bacteria in the Brazilian Atlantic Forest during a drought. Given the recognized ability of some amphibian skin bacteria to inhibit the widespread fungal pathogen <i>Batrachochytrium dendrobatidis</i> (Bd), we investigated links between skin microbiome health, susceptibility to Bd, and host mortality during a die-off event. Rainfall deficit was an indirect predictor of Bd loads through microbiome disruption, while its direct effect on Bd was weak. The microbiome exhibited reduced putative Bd-inhibitory function following the drought, independent of infection status, and our findings pointed to a one-month lagged effect of drought on the microbiome that increased toadlet susceptibility to Bd. Our study underscores the capacity of rainfall variability to disturb complex host-microbiome interactions and disrupt wildlife disease dynamics.
DOI: 10.6073/pasta/af66619b0fc9d86a22890d90b2ff1cd9
title: Hubbard Brook Experimental Forest (USDA Forest Service): Wind Speed and Wind Direction Measurements, 1965 - present

description: Wind data have been measured by an anemometer mounted 3 m above the ground at Hubbard Brook Experimental Forest Headquarters since 1965. Prior to 1981, every mile of wind movement caused a tick mark on a strip-chart recorder, and wind direction as N, S, E, W, or a combination, was recorded continuously. From 1981-2003, wind speed and direction were measured with a MetOne wind speed sensor. In June 2003 the MetOne was replaced with a R.M. Young company wind speed direction sensor (model 05103). Since that time, wind direction (azimuth) is based on a 0 to 360 degree scale. These data were gathered at the Hubbard Brook Experimental Forest in Woodstock, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6073/pasta/f2fb8b6542106c6db534fab76decdcec
title: Continuous precipitation and stream chemistry data, Hubbard Brook Ecosystem Study, 1963 – ongoing.

description: The Hubbard Brook Watershed Stream and Precipitation Chemistry Record is a dataset of chemical concentration data for precipitation and streamwater samples that have been collected weekly since the summer of 1963 from streams and precipitation gauges throughout the Hubbard Brook Experimental Forest, a research forest in the White Mountains of New Hampshire. HBWatER currently collects weekly samples from nine gauged watersheds, the mainstem of the Hubbard Brook into which each small stream drains, and two long-term precipitation collection sites. HBWatER was begun in the 1960's by Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and Noye M. Johnson who began collecting and analyzing stream and precipitation (rain and snow). They had a simple idea, that by comparing watershed inputs in rain and snow to watershed outputs from streams, they could measure the behavior of entire ecosystems in response to atmospheric pollution or forestry practices. Stream and precipitation samples have been collected every week from 1963 to the present day. Insights gained from studying this long-term chemical record led to the discovery of acid rain in North America and have documented the effectiveness of federal clean air legislation in reducing coalfired power plant emissions.
 
 The collection and analysis of HBWatER samples is currently sustained by Tammy Wooster (Cary IES) and Jeff Merriam (USFS) and the dataset is curated and maintained by a team of researchers: Chris Solomon (Cary IES), Emma Rosi (Cary IES), Emily Bernhardt (Duke), Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell (UNH), Charley Driscoll (Syracuse U.), Mark Green (Case Western), and Scott Bailey (USFS). Current Financial Support for HBWatER is provided by NSF LTREB # 1907683 and the USDA Forest Service Northern Research Station.
 
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6073/pasta/39887003e9c00b21953f9f5f03b558e7
title: Hubbard Brook Experimental Forest: Chemistry of Precipitation – Monthly Fluxes, Watershed 6, 1964 - present

description: These data are monthly fluxes of solutes in precipitation collected at
 the Hubbard Brook Experimental Forest and are a part of the Hubbard
 Brook Watershed Ecosystem Record (HBWatER), which is a long-term
 record of stream and precipitation chemistry and volume. The solute
 fluxes in precipitation are calculated as the product of precipitation
 volume and solute concentrations. There are nine gaged watersheds at
 the Hubbard Brook Experimental Forest, some of which have been
 subjected to experimental manipulations.

 
 The calculation of fluxes is currently supervised by John Campbell (US
 Forest Service). The long-term stream water record is collected and
 maintained by the US Forest Service. The collection and management of
 the long-term stream and precipitation chemistry record was initiated
 in 1963 by Gene E. Likens, F. Herbert Bormann, Robert S. Pierce, and
 Noye M. Johnson. HBWatER is currently sustained by Tammy Wooster (Cary
 IES) and Jeff Merriam (USFS) and the dataset is curated and maintained
 by a team of researchers: Emma Rosi (Cary IES), Emily Bernhardt
 (Duke), Lindsey Rustad (USFS), John Campbell (USFS), Bill McDowell
 (UNH), Charley Driscoll (Syracuse U.), Mark Green (Case Western), and
 Scott Bailey (USFS). Current Financial Support for HBWatER is provided
 by NSF LTREB # 1907683 and the USDA Forest Service Northern Research
 Station.

 
 These data were gathered as part of the Hubbard Brook Ecosystem Study
 (HBES). The HBES is a collaborative effort at the Hubbard Brook
 Experimental Forest, which is operated and maintained by the US Forest
 Service, Northern Research Station.
DOI: 10.6073/pasta/3afab60d54d5f2fcb1112e71f4be2106
title: Hubbard Brook Experimental Forest: Daily Temperature Record, 1955 - present

description: Air temperature is measured at seven locations in rain gage clearings throughout the experimental watersheds and at Headquarters. The oldest air temperature record dates back to October 20,1955 at Station 1. From 1955 - 2014, temperature measurements were made continuously using hygrothermographs housed in standard shelters. Beginning in 2014, digital sensors housed in solar radiation shields collected daily minimum and maximum temperature measurements. Measurements made by the hygrothermographs have been corrected for screen bias to match the current aspirated radiation shields.
 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
 Publications related to this dataset:
 Bailey, Amey Schenck; Hornbeck, James W.; Campbell, John L.; Eagar, Christopher. 2003. Hydrometeorological database for Hubbard Brook Experimental Forest: 1955-2000. Gen. Tech. Rep. NE-305. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station. 36 p
DOI: 10.6073/pasta/453b49e8429a63b72419caf3b9ad6f98
title: Hubbard Brook Experimental Forest: Daily Precipitation Rain Gage Measurements, 1956 - present

description: Precipitation has been measured at the Hubbard Brook Experimental Forest using rain gauges located in or around each watershed since 1956. Three types of rain gauges have been used: standard, mechanical weight recording, and electronic weight recording. Between 1956 and 2014, precipitation was measured weekly at standard gages located at 24 stations in or near gauged watersheds and at the headquarters building. Weight-recording gauges were located at 7 of the 24 stations and capture a continuous strip-chart record. Weekly totals were prorated using daily totals from the nearest recording gauges. Beginning in 2011, electronic weighing rain gauges were implemented to measure 15-minute precipitation. The number of precipitation stations was reduced to 10, when each station was fully converted to an electronic gauge for measuring 15-minute and daily precipitation beginning in 2015. These data were gathered at the Hubbard Brook Experimental Forest in Thornton, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6073/pasta/61b16218902a3ae764a3179c383132e0
title: Hubbard Brook Experimental Forest (USDA Forest Service): Wind Speed and Wind Direction Measurements, 1965 - present

description: Wind data have been measured by an anemometer mounted 3 m above the ground at Hubbard Brook Experimental Forest Headquarters since 1965. Prior to 1981, every mile of wind movement caused a tick mark on a strip-chart recorder, and wind direction as N, S, E, W, or a combination, was recorded continuously. From 1981-2003, wind speed and direction were measured with a MetOne wind speed sensor. In June 2003 the MetOne was replaced with a R.M. Young company wind speed direction sensor (model 05103). Since that time, wind direction (azimuth) is based on a 0 to 360 degree scale. These data were gathered at the Hubbard Brook Experimental Forest in Thornton, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.6073/pasta/f448b4b563d3f59b2058291459ce5926
title: Hubbard Brook Experimental Forest: Weekly Snow and Frost Measurements, 1955 - present

description: Snow and frost measurements have been collected approximately weekly during the winter season at the Hubbard Brook Experimental Forest using transects underneath the forest canopy adjacent to the established network of standard rain gages from 1956 to the present. Maximum snow depth, snow water content, frost occurrence, and frost depth data are recorded at points along a transect known as a snow course, which includes 10 points spaced at 2-m intervals within a designated 0.25 ha area. Data from one course are averaged for each collection date. These data were gathered at the Hubbard Brook Experimental Forest in Thornton, NH, which is operated and maintained by the USDA Forest Service, Northern Research Station.
DOI: 10.34740/kaggle/dsv/7372512
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.21429/ej86-de65
title: Perceptions of Collaboration Among Wildlife Managers in SEAFWA States Between 2022 - 2023

description: Wildlife conservation success depends on regional conservation efforts, but little is known about barriers and opportunities that ‘boots on the ground’ wildlife conservation practitioners face when tackling regional conservation. This study provides the first data addressing these important questions in the southeastern United States. Surveyed professionals indicated that their top priority for regional conservation efforts was increasing the likelihood of conservation success for species with multi-state ranges, followed by the need to describe threats to species and their habitats. Perhaps not surprisingly, these priority areas were also where conservation practitioners were most likely to work in regional collaborations. The lowest priority for regional conservation efforts was developing plans to adapt conservation actions to climate change, followed by measuring the effectiveness of proposed conservation actions. Developing plans to adapt conservation actions to climate change was also the least likely priority area for conservation practitioners to be currently collaborating and had the least interest for future collaborations. Surveyed professionals indicated that the top barriers they faced in regional conservation projects were participation being too expensive and logistics being too difficult. These results suggest additional funding and simplified protocols for cross-state collaboration may be required to encourage regional conservation initiatives, particularly those perceived as low importance by practitioners.
DOI: 10.21227/brvz-0g97
title: Sensitive quantification of cerebellar speech abnormalities: OpenSMILE

description: Objective, sensitive, and meaningful disease assessments are critical to support clinical trials and clinical care. Speech changes are one of the earliest and most evident manifestations of cerebellar ataxias. This data set contains features that be used to train models to identify and quantify clinical signs of ataxic speech. Though raw audio or spectorgrams cannot be release due to privacy concerns, this data set contains several OpenSMILE feature sets. Many labels, such as data collection dates and specific diagnoses, have been obfuscated or redacted to maintain privacy given the rarity of the diseases in the data.
DOI: 10.34740/kaggle/dsv/7372551
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.34740/kaggle/dsv/7372555
title: Full TMDB Movies Dataset 2023 (930K Movies)
DOI: 10.34740/kaggle/dsv/7372569
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.34740/kaggle/dsv/7372577
title: Velocity Wheels
DOI: 10.7303/syn51032009
title: A single-cell atlas of cellular pathways and regulatory networks disrupted in autism spectrum disorder
DOI: 10.25345/c53t9dh8p
title: MassIVE MSV000093800 - Hybrid immunity to SARS-CoV-2 arises from serological recall of IgG antibodies distinctly imprinted by infection or vaccination
title: We used plasma IgG proteomics to study the molecular composition and temporal durability of polyclonal IgG antibodies triggered by ancestral SARS-CoV-2 infection, vaccination, or their combination ("hybrid immunity"). Infection, whether primary or post-vaccination, mainly triggered an anti-spike antibody response to the S2 domain, while vaccination predominantly induced anti-RBD antibodies. Immunological imprinting persisted after a secondary (hybrid) exposure, with &gt;60% of the ensuing serological response originating from the initial antibodies generated during the first exposure. We highlight one instance where hybrid immunity arising from breakthrough infection resulted in a marked increase in the breadth and affinity of a highly abundant vaccination-elicited plasma IgG antibody, SC27. With an intrinsic binding affinity surpassing a theoretical maximum (KD &lt; 5 pM), SC27 demonstrated potent neutralization of various SARS-CoV-2 variants and SARS-like zoonotic viruses (IC50 ~0.1-1.75 nM) and provided robust protection in vivo. Cryo-EM structural analysis unveiled that SC27 binds to the RBD class 1/4 epitope, with both VH and VL significantly contributing to the binding interface. These findings suggest that exceptionally broad and potent antibodies can be prevalent in plasma and can largely dictate the nature of serological neutralization.
DOI: 10.26188/24845328
title: Series of weekly COVID-19 epidemic situational assessment reports submitted to the Australian Government Department of Health Office of Health Protection from April 2020 to December 2023.

description: Series of weekly COVID-19 situational assessment reports delivered over the period April 2020 through December 2023.The work was conducted under a series of official orders for the provision of Situational Awareness Modelling for COVID-19 from the Australian Government Department of Health to the University of Melbourne beginning in March 2020. The University of Melbourne was the lead contractor, with contributions delivered under contract from national situational assessment consortium partners.Situational assessment reports for the period from 4th April 2020 through 15th December 2023 were released to the public under agreement with the Commonwealth Government Department of Health on the University of Melbourne website on 18th December 2023.<br>
DOI: 10.26188/24845328.v3
title: Series of weekly COVID-19 epidemic situational assessment reports submitted to the Australian Government Department of Health Office of Health Protection from April 2020 to December 2023.

description: Series of weekly COVID-19 situational assessment reports delivered over the period April 2020 through December 2023.The work was conducted under a series of official orders for the provision of Situational Awareness Modelling for COVID-19 from the Australian Government Department of Health to the University of Melbourne beginning in March 2020. The University of Melbourne was the lead contractor, with contributions delivered under contract from national situational assessment consortium partners.Situational assessment reports for the period from 4th April 2020 through 15th December 2023 were released to the public under agreement with the Commonwealth Government Department of Health on the University of Melbourne website on 18th December 2023.<br>
DOI: 10.26188/24845328.v2
title: Series of weekly COVID-19 epidemic situational assessment reports submitted to the Australian Government Department of Health Office of Health Protection from April 2020 to December 2023.

description: Series of weekly COVID-19 situational assessment reports delivered over the period April 2020 through December 2023.The work was conducted under a series of official orders for the provision of Situational Awareness Modelling for COVID-19 from the Australian Government Department of Health to the University of Melbourne beginning in March 2020. The University of Melbourne was the lead contractor, with contributions delivered under contract from national situational assessment consortium partners.Situational assessment reports for the period from 4th April 2020 through 15th December 2023 were released to the public under agreement with the Commonwealth Government Department of Health on the University of Melbourne website on 18th December 2023.<br>
DOI: 10.5517/ccdc.csd.cc2gz5d1
title: CCDC 2293113: Experimental Crystal Structure Determination

description: Related Article: Ikumi Aratani, Yoji Horii, Yoshinori Kotani, Hitoshi Osawa, Hajime Tanida, Toshiaki Ina, Takeshi Watanabe, Yohko F. Yano, Akane Mizoguchi, Daisuke Takajo, Takashi Kajiwara|2024|J.Mater.Chem.C|12|724|doi:10.1039/D3TC03360K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gz5f2
title: CCDC 2293114: Experimental Crystal Structure Determination

description: Related Article: Ikumi Aratani, Yoji Horii, Yoshinori Kotani, Hitoshi Osawa, Hajime Tanida, Toshiaki Ina, Takeshi Watanabe, Yohko F. Yano, Akane Mizoguchi, Daisuke Takajo, Takashi Kajiwara|2024|J.Mater.Chem.C|12|724|doi:10.1039/D3TC03360K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gz5g3
title: CCDC 2293115: Experimental Crystal Structure Determination

description: Related Article: Ikumi Aratani, Yoji Horii, Yoshinori Kotani, Hitoshi Osawa, Hajime Tanida, Toshiaki Ina, Takeshi Watanabe, Yohko F. Yano, Akane Mizoguchi, Daisuke Takajo, Takashi Kajiwara|2024|J.Mater.Chem.C|12|724|doi:10.1039/D3TC03360K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.