cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24944643.v1
title: Files for Download.xlsx

description: The structure of plant-pollinator mutualistic interactions is important for pollination network stability and robustness in the face of environmental change. Even slight changes in seasonal or annual precipitation patterns (e.g., drought) can disrupt the critical plant-pollinator mutualisms that comprise healthy pollination systems, primarily through changes in the availability of floral resources. Increased instances of drought across regions, especially in the southwestern United States, is a likely threat to plant and pollinator species richness, phenology, and mutualistic associations. In this paper, we evaluate the impacts of short-term drought on the plant-pollinator communities of the San Francisco Peaks in northern Arizona. Specifically, we evaluate how plant and pollinator species abundance, richness, mutualistic interactions, and degree of pollinator generalization differed between a “wet year” (2017) and “dry year” (2018) on the San Francisco Peaks, and how these shifts may be further impacted at three different life zones (elevation zones). We determine that that plant richness and abundance decreased in the dry year, and overall pollinator species generalization increased in the dry year, with a larger number of species considered to be “core generalists”. Additionally, the timing of plant and pollinator activity periods were less consistent in the dry year; there was delayed blooming for many floral resources until after monsoon rains began, and insect activity tended to start and continue later in the season for all life zones. Finally, at the highest life zone Spruce Fir, over half of the pollinator species that foraged during both years showed increases in their total plant partners in the dry year. Increased pollinator generalization for some species in the dry year, despite fewer floral resources, may suggest some degree of plasticity when it comes to partner choice, which may be buffering this local pollination system from community collapse when resources are scarce, especially at higher elevation communities. With changing climate, uncovering which pollinator species and plant-pollinator associations are most critical for local community stability in drought conditions is important for understanding pollination network structure and informing conservation decisions on local scales.
DOI: 10.5281/zenodo.10076779
title: Diurnal Patterns in the Observed Cloud Liquid Water Path Response to Droplet Number Perturbations: Analyses Files

description: This dataset contains the files used to create the Lagrangian trajectory data over the southeast Pacific, the datafiles containing the trajectories, and the plotting scripts used in the analysis described in Smalley et al. (2023).
DOI: 10.6084/m9.figshare.24944682
title: Supporting Information: In silico analysis of the action of saturated, monounsaturated, and polyunsaturated fatty acids against Echinococcus granulosus fatty-acid-binding protein 1

description: Supporting Information: In silico analysis of the action of saturated, monounsaturated, and polyunsaturated fatty acids against Echinococcus granulosus fatty-acid-binding protein 1
DOI: 10.6084/m9.figshare.24944682.v1
title: Supporting Information: In silico analysis of the action of saturated, monounsaturated, and polyunsaturated fatty acids against Echinococcus granulosus fatty-acid-binding protein 1

description: Supporting Information: In silico analysis of the action of saturated, monounsaturated, and polyunsaturated fatty acids against Echinococcus granulosus fatty-acid-binding protein 1
DOI: 10.6084/m9.figshare.24585157
title: Causal Inference with Noncompliance and Unknown Interference

description: We consider a causal inference model in which individuals interact in a social network and they may not comply with the assigned treatments. In particular, we suppose that the form of network interference is unknown to researchers. To estimate meaningful causal parameters in this situation, we introduce a new concept of exposure mapping, which summarizes potentially complicated spillover effects into a fixed dimensional statistic of instrumental variables. We investigate identification conditions for the intention-to-treat effects and the average treatment effects for compliers, while explicitly considering the possibility of misspecification of exposure mapping. Based on our identification results, we develop nonparametric estimation procedures via inverse probability weighting. Their asymptotic properties, including consistency and asymptotic normality, are investigated using an approximate neighborhood interference framework. For an empirical illustration, we apply our method to experimental data on the anti-conflict intervention school program. The proposed methods are readily available with the companion R package latenetwork. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24585157.v2
title: Causal Inference with Noncompliance and Unknown Interference

description: We consider a causal inference model in which individuals interact in a social network and they may not comply with the assigned treatments. In particular, we suppose that the form of network interference is unknown to researchers. To estimate meaningful causal parameters in this situation, we introduce a new concept of exposure mapping, which summarizes potentially complicated spillover effects into a fixed dimensional statistic of instrumental variables. We investigate identification conditions for the intention-to-treat effects and the average treatment effects for compliers, while explicitly considering the possibility of misspecification of exposure mapping. Based on our identification results, we develop nonparametric estimation procedures via inverse probability weighting. Their asymptotic properties, including consistency and asymptotic normality, are investigated using an approximate neighborhood interference framework. For an empirical illustration, we apply our method to experimental data on the anti-conflict intervention school program. The proposed methods are readily available with the companion R package latenetwork. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24585157.v1
title: Causal Inference with Noncompliance and Unknown Interference

description: Abstract–<b>We consider a causal inference model in which individuals interact in a social network and they may not comply with the assigned treatments. In particular, we suppose that the form of network interference is unknown to researchers. To estimate meaningful causal parameters in this situation, we introduce a new concept of exposure mapping, which summarizes potentially complicated spillover effects into a fixed dimensional statistic of instrumental variables. We investigate identification conditions for the intention-to-treat effects and the average treatment effects for compliers, while explicitly considering the possibility of misspecification of exposure mapping. Based on our identification results, we develop nonparametric estimation procedures via inverse probability weighting. Their asymptotic properties, including consistency and asymptotic normality, are investigated using an approximate neighborhood interference framework. For an empirical illustration, we apply our method to experimental data on the anti-conflict intervention school program. The proposed methods are readily available with the companion</b> R <b>package</b> latenetwork.
DOI: 10.5519/qd.aunkrbnv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.5281/zenodo.10395652
title: Intermittent LFS in epileptic mice

description: This database is a collection of LFP data obtained in the Lab of Prof. Dr. CA Haas (Experimental Epilepsy Research, Dept of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany). Eight adult transgenic male mice (C57BL/6-Tg(Thy1- eGFP)-M-Line) were injected with 50 nL of 15 mM kainate (Tocris, Bristol, UK) in the right dorsal hippocampus. Following KA injection the occurrence of a behavioral Status Epilepticus was verified. Teflon-coated platinum-iridium wires (125 mm diameter; World Precision Instruments, Sarasota, Florida, USA) were implanted 14-16 days after kainate injections at two hippocampal positions. Mice were connected to a miniature preamplifier (MPA8i, Smart Ephys/Multi-Channel Systems, Reutlingen, Germany). Signals were amplified 1000-fold, bandpass-filtered from 1 Hz to 5 kHz, and digitized with a sampling rate of 10 kHz (Power1401 analog-to-digital converter, Spike2 software, Cambridge Electronic Design, Cambridge, UK). Data was downsampled to 500 Hz and seizure detection was performed semi-automated (see https://doi.org/10.1523/ENEURO.0299-18.2019). Recording IDs are encoding mouse number, stimulation protocol, recording number, recording channel. Example: EP148_1Hz-cycle_1_HCi1_2 (mouse: EP148, stim protocol: cycle (30 min intitial LFS, then 10 min LFS off and 10 min LFS on (4x 10 min LFS), then 70 min post LFS (toal rec length 3 h), rec number: 1, position: HCi1, channel: 2). Nomenclature of recording positions: HCi1, ipsilateral dorsal hippocampus (sclerotic); HCc, contralateral dorsal hippocampus. "Pre" recodings without simtulation were obtained directly before LFS protocol and are named "pre-cycle" (Example: EP148_pre-cycle_1_HCi1_2). For detailed information see https://doi.org/10.7554/eLife.54518.

Electrical Stimulation: We stimulated mice intermittently. Initially for 30 min continuously followed by 10 min ‘off’ (no stimulation) and 10 min ‘on’ (1 Hz stimulation) phase, which was repeated four times, followed by 1-hr ‘post’ recording (Paschen et al., eLife, 2020, Figure 1B, week 7). LFS: biphasic rectangular current pulses: 400 ms phase duration, ±200 mA amplitude, anodic first; MC stimulus II software, STG1004, Smart Ephys/Multi-Channel Systems, Reutlingen, Germany.

Excel file contains an overview of recordings.
DOI: 10.5281/zenodo.10395653
title: Intermittent LFS in epileptic mice

description: This database is a collection of LFP data obtained in the Lab of Prof. Dr. CA Haas (Experimental Epilepsy Research, Dept of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany). Eight adult transgenic male mice (C57BL/6-Tg(Thy1- eGFP)-M-Line) were injected with 50 nL of 15 mM kainate (Tocris, Bristol, UK) in the right dorsal hippocampus. Following KA injection the occurrence of a behavioral Status Epilepticus was verified. Teflon-coated platinum-iridium wires (125 mm diameter; World Precision Instruments, Sarasota, Florida, USA) were implanted 14-16 days after kainate injections at two hippocampal positions. Mice were connected to a miniature preamplifier (MPA8i, Smart Ephys/Multi-Channel Systems, Reutlingen, Germany). Signals were amplified 1000-fold, bandpass-filtered from 1 Hz to 5 kHz, and digitized with a sampling rate of 10 kHz (Power1401 analog-to-digital converter, Spike2 software, Cambridge Electronic Design, Cambridge, UK). Data was downsampled to 500 Hz and seizure detection was performed semi-automated (see https://doi.org/10.1523/ENEURO.0299-18.2019). Recording IDs are encoding mouse number, stimulation protocol, recording number, recording channel. Example: EP148_1Hz-cycle_1_HCi1_2 (mouse: EP148, stim protocol: cycle (30 min intitial LFS, then 10 min LFS off and 10 min LFS on (4x 10 min LFS), then 70 min post LFS (toal rec length 3 h), rec number: 1, position: HCi1, channel: 2). Nomenclature of recording positions: HCi1, ipsilateral dorsal hippocampus (sclerotic); HCc, contralateral dorsal hippocampus. "Pre" recodings without simtulation were obtained directly before LFS protocol and are named "pre-cycle" (Example: EP148_pre-cycle_1_HCi1_2). For detailed information see https://doi.org/10.7554/eLife.54518.

Electrical Stimulation: We stimulated mice intermittently. Initially for 30 min continuously followed by 10 min ‘off’ (no stimulation) and 10 min ‘on’ (1 Hz stimulation) phase, which was repeated four times, followed by 1-hr ‘post’ recording (Paschen et al., eLife, 2020, Figure 1B, week 7). LFS: biphasic rectangular current pulses: 400 ms phase duration, ±200 mA amplitude, anodic first; MC stimulus II software, STG1004, Smart Ephys/Multi-Channel Systems, Reutlingen, Germany.

Excel file contains an overview of recordings.
DOI: 10.5281/zenodo.10459199
title: Intermittent LFS in epileptic mice

description: This database is a collection of LFP data obtained in the Lab of Prof. Dr. CA Haas (Experimental Epilepsy Research, Dept of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany). Eight adult transgenic male mice (C57BL/6-Tg(Thy1- eGFP)-M-Line) were injected with 50 nL of 15 mM kainate (Tocris, Bristol, UK) in the right dorsal hippocampus. Following KA injection the occurrence of a behavioral Status Epilepticus was verified. Teflon-coated platinum-iridium wires (125 mm diameter; World Precision Instruments, Sarasota, Florida, USA) were implanted 14-16 days after kainate injections at two hippocampal positions. Mice were connected to a miniature preamplifier (MPA8i, Smart Ephys/Multi-Channel Systems, Reutlingen, Germany). Signals were amplified 1000-fold, bandpass-filtered from 1 Hz to 5 kHz, and digitized with a sampling rate of 10 kHz (Power1401 analog-to-digital converter, Spike2 software, Cambridge Electronic Design, Cambridge, UK). Data was downsampled to 500 Hz and seizure detection was performed semi-automated (see https://doi.org/10.1523/ENEURO.0299-18.2019). Recording IDs are encoding mouse number, stimulation protocol, recording number, recording channel. Example: EP148_1Hz-cycle_1_HCi1_2 (mouse: EP148, stim protocol: cycle (30 min intitial LFS, then 10 min LFS off and 10 min LFS on (4x 10 min LFS), then 70 min post LFS (toal rec length 3 h), rec number: 1, position: HCi1, channel: 2). Nomenclature of recording positions: HCi1, ipsilateral dorsal hippocampus (sclerotic); HCc, contralateral dorsal hippocampus. "Pre" recodings without simtulation were obtained directly before LFS protocol and are named "pre-cycle" (Example: EP148_pre-cycle_1_HCi1_2). For detailed information see https://doi.org/10.7554/eLife.54518.

Electrical Stimulation: We stimulated mice intermittently. Initially for 30 min continuously followed by 10 min ‘off’ (no stimulation) and 10 min ‘on’ (1 Hz stimulation) phase, which was repeated four times, followed by 1-hr ‘post’ recording (Paschen et al., eLife, 2020, Figure 1B, week 7). LFS: biphasic rectangular current pulses: 400 ms phase duration, ±200 mA amplitude, anodic first; MC stimulus II software, STG1004, Smart Ephys/Multi-Channel Systems, Reutlingen, Germany.

Excel file contains an overview of recordings.
DOI: 10.5281/zenodo.10459835
title: Intermittent LFS in epileptic mice

description: This database is a collection of LFP data obtained in the Lab of Prof. Dr. CA Haas (Experimental Epilepsy Research, Dept of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany). Eight adult transgenic male mice (C57BL/6-Tg(Thy1- eGFP)-M-Line) were injected with 50 nL of 15 mM kainate (Tocris, Bristol, UK) in the right dorsal hippocampus. Following KA injection the occurrence of a behavioral Status Epilepticus was verified. Teflon-coated platinum-iridium wires (125 mm diameter; World Precision Instruments, Sarasota, Florida, USA) were implanted 14-16 days after kainate injections at two hippocampal positions. Mice were connected to a miniature preamplifier (MPA8i, Smart Ephys/Multi-Channel Systems, Reutlingen, Germany). Signals were amplified 1000-fold, bandpass-filtered from 1 Hz to 5 kHz, and digitized with a sampling rate of 10 kHz (Power1401 analog-to-digital converter, Spike2 software, Cambridge Electronic Design, Cambridge, UK). Data was downsampled to 500 Hz and seizure detection was performed semi-automated (see https://doi.org/10.1523/ENEURO.0299-18.2019). Recording IDs are encoding mouse number, stimulation protocol, recording number, recording channel. Example: EP148_1Hz-cycle_1_HCi1_2 (mouse: EP148, stim protocol: cycle (30 min intitial LFS, then 10 min LFS off and 10 min LFS on (4x 10 min LFS), then 70 min post LFS (toal rec length 3 h), rec number: 1, position: HCi1, channel: 2). Nomenclature of recording positions: HCi1, ipsilateral dorsal hippocampus (sclerotic); HCc, contralateral dorsal hippocampus. "Pre" recodings without simtulation were obtained directly before LFS protocol and are named "pre-cycle" (Example: EP148_pre-cycle_1_HCi1_2). For detailed information see https://doi.org/10.7554/eLife.54518.

Electrical Stimulation: We stimulated mice intermittently. Initially for 30 min continuously followed by 10 min ‘off’ (no stimulation) and 10 min ‘on’ (1 Hz stimulation) phase, which was repeated four times, followed by 1-hr ‘post’ recording (Paschen et al., eLife, 2020, Figure 1B, week 7). LFS: biphasic rectangular current pulses: 400 ms phase duration, ±200 mA amplitude, anodic first; MC stimulus II software, STG1004, Smart Ephys/Multi-Channel Systems, Reutlingen, Germany.

Excel file contains an overview of recordings.
DOI: 10.18739/a27d2q89v
title: Benthic macroinfaunal samples collected from the Canadian Coast Guard Ship (CCGS) Sir Wilfrid Laurier, Northern Bering Sea to Chukchi Sea, 2011

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated “Distributed Biological Observatory” (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological “hotspot” locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea,and DBO5-Barrow Canyon. This dataset contains benthic macroinfaunal population level from sediment samples collected at each station for the United States Coast Guard Cutter (USCGC) Healy cruise-Leg 1 in 2011, identified by station number (#), Station name (Stn. Name), Date (mm/dd/yy), latitude (°N), longitude (°W), and station depth (meter). The following macroinfaunal parameters were determined: abundance, wet weight biomass (grams of wet weight per meters squared), dry weight biomass (grams of Carbon per meters squared), and taxon type.
DOI: 10.18739/a23n20g4m
title: Benthic macroinfaunal samples collected from the Canadian Coast Guard Ship (CCGS) Sir Wilfrid Laurier, Northern Bering Sea to Chukchi Sea, 2010

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated “Distributed Biological Observatory” (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological “hotspot” locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea,and DBO5-Barrow Canyon. This dataset contains benthic macroinfaunal population level from sediment samples collected at each station for the United States Coast Guard Cutter (USCGC) Healy cruise-Leg 1 in 2010, identified by station number (#), Station name (Stn. Name), Date (mm/dd/yy), latitude (°N), longitude (°W), and station depth (m). The following macroinfaunal parameters were determined: abundance, wet weight biomass (grams of wet weight per meters squared), dry weight biomass (grams of Carbon per meters squared), and taxon type.
DOI: 10.6084/m9.figshare.21440748.v1
title: Raw data for paper: Reproducible growth of Brachypodium distachyon in fabricated ecosystems (EcoFAB 2.0) reveals that nitrogen form and starvation modulate root exudation

description: The data set describes <em>B. distachyon</em> plants that were grown for 3 weeks on 5 mM inorganic nitrogen (iN) as NO<sub>3</sub><sup>-</sup>, NH<sub>4</sub><sup>+</sup>, or NH<sub>4</sub>NO<sub>3</sub> and then transferred to iN free medium for additional two weeks. The Control plants received iN medium for the whole 5 weeks. 
<br>
Data contained: 

 Root and shoot biomass
 Shoot elemental composition as total C and N %
 Shoot stable isotope composition as 𝜹<sup>13</sup>C and 𝜹<sup>15</sup>N
 Plant spent growth medium pH
 Evapotranspiration
 Inorganic nitrogen quantification in plant spent medium by FIA
 Bioassay - <em>P. putida </em>growth on exudate metabolites
 Bioassay - effects of exudates on seedling growth
 Root exudates metabolomics - Molecular network metadata node table 
 Statistical differences between peak height of filtered features
 Normalized peak height for annotated features (for Sankey plot)
DOI: 10.6084/m9.figshare.21440748
title: Raw data for paper: Reproducible growth of <i>Brachypodium</i> in EcoFAB 2.0 reveals that nitrogen form and starvation modulate root exudation

description: The data set describes <i>B. distachyon</i> plants grown for 3 weeks on 5 mM inorganic nitrogen (iN) as NO<sub>3</sub><sup>-</sup>, NH<sub>4</sub><sup>+</sup>, or NH<sub>4</sub>NO<sub>3</sub> and then transferred to iN free medium for additional two weeks. The Control plants received iN medium for the whole 5 weeks.Data contained:Root and shoot biomass and phenotypingShoot elemental composition as total C and N %Shoot stable isotope composition as 𝜹<sup>13</sup>C and 𝜹<sup>15</sup>NFertilizer 𝜹<sup>15</sup>NPlant spent growth medium pHEvapotranspirationInorganic nitrogen quantification in plant spent medium by FIABioassay - bacterial<i> </i>growth on exudate metabolitesBioassay - effects of exudates on seedling growthRoot exudates metabolomics - Molecular network metadata node tableStatistical differences between peak height of filtered featuresNormalized peak height for annotated features (for Sankey plot)
DOI: 10.34740/kaggle/dsv/7339873
title: prices_gold_years