cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10303922
title: Supplementary material for "Does sociality affect evolutionary speed?"

description: This supplementary material contains Table 1 which summarises all evidence discussed throughout the paper and used to create Figure 3 in Socias-Martínez and Peckre (2023) Does sociality affect evolutionary speed?, Peer Community Journal, 3: XX. https://doi.org/10.24072/pcjournal.352.
DOI: 10.5281/zenodo.10001173
title: Data and code for manuscript ``Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty''

description: Supporting data and code for manuscript:
Seroussi, H., Verjans, V., Nowicki, S., Payne, A. J., Goelzer, H., Lipscomb, W. H., Abe-Ouchi, A., Agosta, C., Albrecht, T., Asay-Davis, X., Barthel, A., Calov, R., Cullather, R., Dumas, C., Galton-Fenzi, B. K., Gladstone, R., Golledge, N. R., Gregory, J. M., Greve, R., Hattermann, T., Hoffman, M. J., Humbert, A., Huybrechts, P., Jourdain, N. C., Kleiner, T., Larour, E., Leguy, G. R., Lowry, D. P., Little, C. M., Morlighem, M., Pattyn, F., Pelle, T., Price, S. F., Quiquet, A., Reese, R., Schlegel, N.-J., Shepherd, A., Simon, E., Smith, R. S., Straneo, F., Sun, S., Trusel, L. D., Van Breedam, J., Van Katwyk, P., van de Wal, R. S. W., Winkelmann, R., Zhao, C., Zhang, T., and Zwinger, T.: Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty, The Cryosphere, 17, 5197–5217, https://doi.org/10.5194/tc-17-5197-2023, 2023.
 
It contains the code to prepare the datasets, to create the figures and the data for the analysis, and the scalar values computed for the 198 Antarctic glaciers stored by ice flow models.
The files Glacier_XX contain the data to emulate the results for individual glaciers.
The files Antarctica and AntarcticaWithCtrl contain the data to emulate the results for the Antarctic runs without and with the ctrl_proj experiment.
The files GROUP_ICEFLOW contain the ice flow model data for all the experiments recomputed for the 198 glaciers in Antarctica.
DOI: 10.5281/zenodo.8117512
title: Data and code for manuscript ``Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty''

description: Supporting data and code for manuscript:
Seroussi, H., Verjans, V., Nowicki, S., Payne, A. J., Goelzer, H., Lipscomb, W. H., Abe-Ouchi, A., Agosta, C., Albrecht, T., Asay-Davis, X., Barthel, A., Calov, R., Cullather, R., Dumas, C., Galton-Fenzi, B. K., Gladstone, R., Golledge, N. R., Gregory, J. M., Greve, R., Hattermann, T., Hoffman, M. J., Humbert, A., Huybrechts, P., Jourdain, N. C., Kleiner, T., Larour, E., Leguy, G. R., Lowry, D. P., Little, C. M., Morlighem, M., Pattyn, F., Pelle, T., Price, S. F., Quiquet, A., Reese, R., Schlegel, N.-J., Shepherd, A., Simon, E., Smith, R. S., Straneo, F., Sun, S., Trusel, L. D., Van Breedam, J., Van Katwyk, P., van de Wal, R. S. W., Winkelmann, R., Zhao, C., Zhang, T., and Zwinger, T.: Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty, The Cryosphere, 17, 5197–5217, https://doi.org/10.5194/tc-17-5197-2023, 2023.
 
It contains the code to prepare the datasets, to create the figures and the data for the analysis, and the scalar values computed for the 198 Antarctic glaciers stored by ice flow models.
The files Glacier_XX contain the data to emulate the results for individual glaciers.
The files Antarctica and AntarcticaWithCtrl contain the data to emulate the results for the Antarctic runs without and with the ctrl_proj experiment.
The files GROUP_ICEFLOW contain the ice flow model data for all the experiments recomputed for the 198 glaciers in Antarctica.
DOI: 10.5281/zenodo.8117513
title: Data and code for manuscript ``Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty''

description: Supporting data and code for manuscript ``Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty'' submitted to The Cryosphere Discussion. It contains the code to prepare the datasets, to create the figures and the data for the analysis, and the scalar values computed for the 198 Antarctic glaciers stored by ice flow models. The files Glacier_XX contain the data to emulate the results for individual glaciers. The files Antarctica and AntarcticaWithCtrl contain the data to emulate the results for the Antarctic runs without and with the ctrl_proj experiment. The files GROUP_ICEFLOW contain the ice flow model data for all the experiments recomputed for the 198 glaciers in Antarctica.
DOI: 10.6073/pasta/1067adbb41ec6cccf4fb91d4055b184e
title: Foundation Species Revisited: Citation Analysis of Ellison et al. 2005

description: Ecologists and environmental scientists often prioritize research efforts with conservation importance. Dominant, widespread, or locally abundant species at low risk of extinction receive relatively little attention unless they are invasive. Native foundation species create habitats and environmental conditions that support many associated species and modulate local-scale ecosystem processes, but the generally high local or regional abundance of foundation species may lead to less research about them. We used citation analysis (2005-2014) to examine research following from a suggestion to identify and study foundation species while they were still common and not threatened. We explored the use and expanding definition of the foundation species concept, as well as the trajectory and ecological focus of research on foundation species throughout the world in 378 papers published in this nine-year span. Contemporary authors who cite key papers defining a foundation species pay little attention to its actual definition and species studied in this context rarely were identified as foundation species. Although functions and roles of foundation species, such as creating unique microclimates or supporting dependent species, are being studied, less research is focused on identifying them before they are threatened or lost from the ecosystem that they otherwise define. Invasive species were identified as the most common threat to foundation species. Our citation analysis and synthesis provides a new conceptual framework linking identification of and research about foundation species with their functional roles and our ability to manage emerging threats to them.
DOI: 10.57745/fxcdfo
title: Cover letter.doc

description: :unav
DOI: 10.57745/jzj7p7
title: Pabois et al avec fig.docx

description: :unav
DOI: 10.57745/f8df7a
title: FigS1.eps

description: :unav
DOI: 10.57745/qeldm6
title: What you should know.docx

description: :unav
DOI: 10.57745/qnstv7
title: FigS2.eps

description: :unav
DOI: 10.57745/hibzkv
title: TableS4.docx

description: :unav
DOI: 10.57745/blvcuk
title: Fig1.eps

description: :unav
DOI: 10.57745/uwlehj
title: Supplementary material.docx

description: :unav
DOI: 10.57745/cw16dw
title: Fig2.eps

description: :unav
DOI: 10.57745/yi1h4v
title: TableS2.docx

description: :unav
DOI: 10.57745/gyursw
title: TableS3.docx

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DOI: 10.57745/pimgql
title: Fig4.eps

description: :unav
DOI: 10.57745/uivhs8
title: TableS1.docx

description: :unav
DOI: 10.57745/bcdlf5
title: GASTRO-S-22-02386-2.pdf

description: :unav
DOI: 10.57745/qaopne
title: Fig5.eps

description: :unav
DOI: 10.57745/xso54b
title: Fig6.eps

description: :unav
DOI: 10.57745/gnwi8p
title: Data file.pdf

description: :unav
DOI: 10.57745/5dpecq
title: Pabois et al.docx

description: :unav
DOI: 10.57745/fefcgj
title: Graphical abstract.jpg

description: :unav
DOI: 10.6073/pasta/06f3aa2591270ae52a8efc590587d2cf
title: Soil Temperature and Water Content in Macrosystems Biodiversity Project at Harvard Forest 2011-2012

description: Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing.
 The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical.
 Readings of soil temperature and soil moisture were taken with HOBO sensors from November 2011 to November 2012. These sensors were installed at five experimental tree growth plots installed by the Enquist Lab (PI, Brian Enquist) from the University of Arizona as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
DOI: 10.6084/m9.figshare.24773232.v1
title: A dataset of SSA-gapfilled and climSSA-gapfilled monthly data based on CSR GRACE and GRACE-FO RL06 Mascons since 2002

description: Data infomation:We proposed a climate adjustment scheme using the Singular Spectrum Analysis (climSSA). The climSSA method was applied to reconstruct the 33-month gaps within GRACE and GRACE-FO missions, with the drought index data SPEI-6 derived from ERA5 as input to adjust the TWSA timeseries before performing the SSA gap-filling iteration process. We produced the SSA-filled and the climSSA-filled monthly equivalent liquid water thickness (lwe_thickness, unit in cm) GRACE/GRACE-FO products at 0.25°×0.25° and 0.5°×0.5° over 2002-2022. The dataset can be downloaed at https://doi.org/10.6084/m9.figshare.24773232.Citation:Xuanze Zhang, Chanyue Ren, Yongqiang Zhang. Climate-adjusted data gap-filling within GRACE and GRACE-FO with Singular Spectrum Analysis, in prepare, 2023.Contact:Xuanze Zhang (xuanzezhang@igsnrr.ac.cn)
DOI: 10.5066/p95120kd
title: Geochronological data for the Dutch Lake paleoseismic site, Sawtooth fault, Idaho

description: This data release includes geochronological data for a paleoseismic trench exposure of the Sawtooth fault, Idaho at the Dutch Lake site (44.343806, -115.17643). Laboratory data include 14 charcoal radiocarbon ages processed at the Woods Hole Oceanographic Institution (WHOI) National Ocean Sciences Accelerator Mass Spectrometry Facility (NOSAMS) and 8 infrared stimulated luminescence (IRSL) ages for feldspar processed at the U.S. Geological Survey Luminescence Dating Laboratory. The radiocarbon and luminescence samples were collected September 2022.
DOI: 10.12770/d548c47b-4cea-40d6-b9bd-837f19d3ac39
title: Suivi stationnel des habitats récifaux à Sabellaria alveolata selon le protocole REEHAB (2016 - 2023)

description: Données de suivi bi-annuel de 20 récifs à Sabellaria alveolata (12 en France + 8 au Royaume-Uni et au Portugal) effectué entre 2016 et 2023 selon le protocole standardisé développé dans le cadre du projet REEHAB (pour REEf HABitat – www.hermelles.fr; Dubois et al., 2020).
DOI: 10.34740/kaggle/dsv/7155700
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/7155713
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.10304153
title: ИССЛЕДОВАНИЯ ГАЗОВЫХ И ГАЗОКОНДЕНСАТНЫХ ПЛАСТОВ И СКВАЖИН
DOI: 10.5281/zenodo.10304154
title: ИССЛЕДОВАНИЯ ГАЗОВЫХ И ГАЗОКОНДЕНСАТНЫХ ПЛАСТОВ И СКВАЖИН
DOI: 10.5281/zenodo.10303979
title: Gravity and magnetotelluric data in the Asal Rift, Republic of Djibouti

description: Gravity data were obtained from a gravity survey carried out by BRGM between 1979 and 1980. Magnetotelluric data were produced in 2007 (Árnason et al, 2008, Khodayar, 2008) in collaboration with Iceland Geosurvey (ISOR), Reykjavik Energy Invest (REI) and the Centre d'Etude et de Recherche de Djibouti (CERD).
DOI: 10.5281/zenodo.10303980
title: Gravity and magnetotelluric data in the Asal Rift, Republic of Djibouti

description: Gravity data were obtained from a gravity survey carried out by BRGM between 1979 and 1980. Magnetotelluric data were produced in 2007 (Árnason et al, 2008, Khodayar, 2008) in collaboration with Iceland Geosurvey (ISOR), Reykjavik Energy Invest (REI) and the Centre d'Etude et de Recherche de Djibouti (CERD).
DOI: 10.6073/pasta/43c5d49ce85a42df9706fa59121f0b18
title: Soil Chemistry and Moisture in Macrosystems Biodiversity Project at Harvard Forest 2012

description: Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing.
 The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical.
 Soil chemistry (TN, TC, NH4-N, NO3-N, and pH) and moisture measurements were taken from soil cores from an array of 21 1m2 subplots and processed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
DOI: 10.6084/m9.figshare.24773058
title: <b>Data for Texto & Contexto e Enfermagem: "Violência doméstica contra as mulheres: vivências dos profissionais da Atenção Primária a Saúde"</b>

description: Trata-se do conjunto de dados referente a análise das vivências de profissionais da Atenção Primária à Saúde no contexto da violência doméstica contra as mulheres. Um estudo qualitativo com 20 participantes, segue a transcrição de cada entrevista realizadas no período de janeiro a junho de 2023 em um Município de Médio Porte do Interior Paulista. Ademais, seguem os dados produzidos pelo <i>software NVIVO Plus</i> versão 11, durante a análise dos dados.<br><br>
DOI: 10.6084/m9.figshare.24773058.v1
title: <b>Data for Texto & Contexto e Enfermagem: "Violência doméstica contra as mulheres: vivências dos profissionais da Atenção Primária a Saúde"</b>

description: Trata-se do conjunto de dados referente a análise das vivências de profissionais da Atenção Primária à Saúde no contexto da violência doméstica contra as mulheres. Um estudo qualitativo com 20 participantes, segue a transcrição de cada entrevista realizadas no período de janeiro a junho de 2023 em um Município de Médio Porte do Interior Paulista. Ademais, seguem os dados produzidos pelo <i>software NVIVO Plus</i> versão 11, durante a análise dos dados.<br><br>
DOI: 10.5281/zenodo.8393061
title: Full field-of-view virtual reality goggles for mice

description: Data files for the manuscript.
imrsiv_beh.mat contains all behavior data as a .mat table (used for Figure 4)imrsiv_2p.mat contains all 2p data as a .mat table (used for Figure 5)
description: imrsiv_beh.mat contains all behavior data as a .mat table (used for Figure 4) in the variable Tfull. Each row corresponds to one behavior session with the following entries:exp_name: assigned name of the mouseexp_date: date of behavior session (YYYYMMDD format)series: batch index for that mousesetup: 0 = iMRSIV, 1 = 5-panel monitorcontext: 1=linear track, 2=remapping, 3=loom, others not usedfirst: indicates day of session for that context (1=first day in that context, for example)obj_pos: reward position in each environmentyl: structure with additional track information (see below)t: time vector (in seconds, sampled at 100 Hz)licks: lick rate vectorv: velocity vector (cm/s)y: track position (cm)t_loom: loom onset time (if delivered)rewardCount: number of rewards in that sessionlapCount: number of laps in that sessiontotalTime: duration of session (in minutes)yl entries include the following, where NL = number of laps and NW = number or environments:ti2: times of start of laps (NL x 1)TLL: track lengths (1 x NW)t0_ft: position of start of laps (NL x 1)y0: lap count at each time (relative to t)START_Y: start position (1 x NW)y_new: unrolled position (relative to t)ibeh: table of reward times and indices (referenced to t), including t_reward (reward times), t_drink (drink times), with each row corresponding to one lapLAPi: cell array (one for each environment) with NL x 1 vector of lap indices for that environmentOBJ_POS: reward position in each environmentII: cell array (one for each environment) of indices of ft1 (if 2p performed) that were in that environmentII_full: same as II but with reference to full timebase ty_ft: unrolled position (same as y_new but relative to ft1)imrsiv2p.mat contains all 2p data data as a .mat table (used for Figure 5) in the variable Tfull. Each row corresponds to one imaging session. Along with the same entries as for behavior sessions (see imrsiv_beh.mat, but note behavior is sampled at 1 kHz rather than 100 Hz now), these contain the following additional entries:n_fov: field-of-view number for that mouseft1: frame times (in seconds)v2: velocity vector at ft1 times (cm/s)y2: track position at ft1 times (cm)licks2: lick rate vector at ft1 timeszf: zoom factor of imaging relative to 20X objective fieldSP: matrix of deconvolved transient rate (each column corresponds to one ROI or neuron)INORM: spatial information for each neuron (row) and environment (column), in bits/APP_INORM: corresponding p-values of shuffled data against INORM (for example, p=0.93 indicated that INORM exceeded shuffle in 93% of shuffles)
DOI: 10.5281/zenodo.8393062
title: Full field-of-view virtual reality goggles for mice

description: Data files for the manuscript.
imrsiv_beh.mat contains all behavior data as a .mat table (used for Figure 4)imrsiv_2p.mat contains all 2p data as a .mat table (used for Figure 5)
description: imrsiv_beh.mat contains all behavior data as a .mat table (used for Figure 4) in the variable Tfull. Each row corresponds to one behavior session with the following entries:exp_name: assigned name of the mouseexp_date: date of behavior session (YYYYMMDD format)series: batch index for that mousesetup: 0 = iMRSIV, 1 = 5-panel monitorcontext: 1=linear track, 2=remapping, 3=loom, others not usedfirst: indicates day of session for that context (1=first day in that context, for example)obj_pos: reward position in each environmentyl: structure with additional track information (see below)t: time vector (in seconds, sampled at 100 Hz)licks: lick rate vectorv: velocity vector (cm/s)y: track position (cm)t_loom: loom onset time (if delivered)rewardCount: number of rewards in that sessionlapCount: number of laps in that sessiontotalTime: duration of session (in minutes)yl entries include the following, where NL = number of laps and NW = number or environments:ti2: times of start of laps (NL x 1)TLL: track lengths (1 x NW)t0_ft: position of start of laps (NL x 1)y0: lap count at each time (relative to t)START_Y: start position (1 x NW)y_new: unrolled position (relative to t)ibeh: table of reward times and indices (referenced to t), including t_reward (reward times), t_drink (drink times), with each row corresponding to one lapLAPi: cell array (one for each environment) with NL x 1 vector of lap indices for that environmentOBJ_POS: reward position in each environmentII: cell array (one for each environment) of indices of ft1 (if 2p performed) that were in that environmentII_full: same as II but with reference to full timebase ty_ft: unrolled position (same as y_new but relative to ft1)imrsiv2p.mat contains all 2p data data as a .mat table (used for Figure 5) in the variable Tfull. Each row corresponds to one imaging session. Along with the same entries as for behavior sessions (see imrsiv_beh.mat, but note behavior is sampled at 1 kHz rather than 100 Hz now), these contain the following additional entries:n_fov: field-of-view number for that mouseft1: frame times (in seconds)v2: velocity vector at ft1 times (cm/s)y2: track position at ft1 times (cm)licks2: lick rate vector at ft1 timeszf: zoom factor of imaging relative to 20X objective fieldSP: matrix of deconvolved transient rate (each column corresponds to one ROI or neuron)INORM: spatial information for each neuron (row) and environment (column), in bits/APP_INORM: corresponding p-values of shuffled data against INORM (for example, p=0.93 indicated that INORM exceeded shuffle in 93% of shuffles)
DOI: 10.5281/zenodo.10304192
title: РОМАН А.КАДЫРИ "МИНУВШИЕ ДНИ": ТЕМА НАСТОЯЩЕГО ЧЕРЕЗ ПРИЗМУ ПРОШЛОГО
DOI: 10.5281/zenodo.10304193
title: РОМАН А.КАДЫРИ "МИНУВШИЕ ДНИ": ТЕМА НАСТОЯЩЕГО ЧЕРЕЗ ПРИЗМУ ПРОШЛОГО
DOI: 10.6073/pasta/9c0625930a4086f4df39d549e98a9443
title: Soil Bacteria and Archaea in Macrosystems Biodiversity Project at Harvard Forest 2012

description: Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing.
 The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical.
 This field experiment focused on soil microbes. DNA was extracted and purified from soil cores from an array of 21 1m2 subplots. The V4 region of the 16S rRNA genes for bacteria and archaea were amplified and sequenced using Illumina MiSeq by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.