cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23231366.v1
title: Datasets and R code for "Ecological and phylogenetic influences on limb joint kinematics in wild primates"

description: R code and datasets relating to "Ecological and phylogenetic influences on limb joint kinematics in wild primates". <br> Arboreal locomotion is precarious and places multiple challenges upon stability when animals are moving over narrow, compliant, angled, and disparate supports. Previous studies have shown that captive primates often respond to narrower and steeper supports by flexing limb joints (lowering the center of mass) and adopting a compliant gait, marked by increased proximal joint excursions and increased yield at distal joints (flattening the center of mass trajectory). In this study we tested whether these same kinematic responses to narrow and steep supports are adopted by wild primates freely ranging over a variety of supports in their natural habitats. Our wild primate sample included five species of platyrrhines, five species of catarrhines, and four species of strepsirrhines. We used modified GoPro cameras to record high speed videos of wild primate locomotion and remote measurement to precisely quantify the diameter, orientation, and compliance of their natural locomotor supports. Video images were imported into ImageJ to measure the angular kinematics of forelimb and hindlimb joints during quadrupedal locomotion on a variety of arboreal supports. Statistical models were fitted to infer associations between joint posture and support diameter/inclination. Additionally, we disentangled the influence of phylogeny and substrate using variation partitioning and redundancy analysis. Our results partially confirm previous kinematic studies of captive primates and suggest variation in support orientation, more than diameter, influences quadrupedal gait kinematics; in particular shoulder excursion and knee yield increase on declines and hip excursion increases on inclines . Phylogenetic relatedness explained more variation in the data than substrate properties. This suggests that when moving in their natural environment, primates either prospectively choose relatively ‘safe’ substrates for locomotion, or that they possess other locomotor adaptations independent of limb joint kinematics per se to overcome the challenges of the precarious arboreal environment.
DOI: 10.6084/m9.figshare.22096430
title: Data from: A tale of two mistletoes: phenology and fauna associated with two sympatric species

description: Original data from: <br> Pincheira, J., J. Villarroel, J.I. Orellana & F.E. Fontúrbel. 2023. A tale of two mistletoes: phenology and fauna associated with two sympatric species. Botany. <br> This repository contains a single CSV file with the original data used to produce the results. <br> When (re)using this information, please cite the original article along with this repository.
DOI: 10.6084/m9.figshare.22096430.v1
title: Data from: A tale of two mistletoes: phenology and fauna associated with two sympatric species

description: Original data from: <br> Pincheira, J., J. Villarroel, J.I. Orellana & F.E. Fontúrbel. 2023. A tale of two mistletoes: phenology and fauna associated with two sympatric species. Botany. <br> This repository contains a single CSV file with the original data used to produce the results. <br> When (re)using this information, please cite the original article along with this repository.
DOI: 10.5281/zenodo.7974703
title: CESM2 Idealized Experiment Output: Summer atmospheric response to zero May North American snow cover

description: The National Center for Atmospheric Research’s Community Earth System Model version 2.2 (CESM2) (Danabasoglu et al., 2020) was run in the Atmospheric Model Intercomparison Project (AMIP) configuration. SSTs and sea-ice were prescribed as monthly varying seasonal cycles based on the observed climatology from 2005 to 2015 (i.e., component set: F2010climo) (Hurrell et al., 2008). We employed the Community Atmosphere Model version 6 (CAM6) (Bogenschutz et al., 2018) as the atmospheric component and the Community Land Model version 5 (CLM5) (Lawrence et al., 2019) as the land-surface component. Each model was run with a horizontal resolution of 0.9˚ latitude by 1.25˚ longitude. We ran a control simulation in this configuration for ten consecutive years. We then modified the land-surface restart files for May 1st of each year by reducing the snow cover over North America to zero. Using these modified files, we then completed a reduced snow simulation by rerunning three-month simulations from May through July for each of the ten years.
description: {"references": ["Bogenschutz, P. A., A. Gettelman, C. Hannay, V. E. Larson, R. B. Neale, C. Craig, and C.-C. Chen (2018), The path to CAM6: Coupled simulations with CAM5.4 and CAM5.5, Geoscientific Model Development, 11, 235-255, https://doi.org/10.5194/gmd-11-235-2018.", "Danabasoglu, G., J.\u2010F. Lamarque, J. Bacmeister, D. A. Bailey, A. K. DuVivier, J. Edwards, et al. (2020), The Community Earth System Model Version 2 (CESM2). Journal of Advances in Modeling Earth Systems, 12, e2019MS001916. https://doi.org/10.1029/2019MS001916.", "Hurrell, J. W., J. J. Hack, D. Shea, J. M. Caron, and J. Rosinski (2008), A new sea surface temperature and sea ice boundary dataset for the Community Atmosphere Model, Journal of Climate, 21, 5145-5153, https://doi.org/10.1175/2008JCLI2292.1.", "Lawrence, D. M., R. A. Fisher, C. D. Koven, K. W. Oleson, S. C. Swenson, G. Bonan, et al. (2019), The Community Land Model version 5: Description of new features, benchmarking, and impact of forcing uncertainty, Journal of Advances in Modeling Earth Systems, 11, 4245-4287, https://doi.org/10.1029/2018MS001583."]}
DOI: 10.5281/zenodo.7974702
title: CESM2 Idealized Experiment Output: Summer atmospheric response to zero May North American snow cover

description: The National Center for Atmospheric Research’s Community Earth System Model version 2.2 (CESM2) (Danabasoglu et al., 2020) was run in the Atmospheric Model Intercomparison Project (AMIP) configuration. SSTs and sea-ice were prescribed as monthly varying seasonal cycles based on the observed climatology from 2005 to 2015 (i.e., component set: F2010climo) (Hurrell et al., 2008). We employed the Community Atmosphere Model version 6 (CAM6) (Bogenschutz et al., 2018) as the atmospheric component and the Community Land Model version 5 (CLM5) (Lawrence et al., 2019) as the land-surface component. Each model was run with a horizontal resolution of 0.9˚ latitude by 1.25˚ longitude. We ran a control simulation in this configuration for ten consecutive years. We then modified the land-surface restart files for May 1st of each year by reducing the snow cover over North America to zero. Using these modified files, we then completed a reduced snow simulation by rerunning three-month simulations from May through July for each of the ten years.
description: {"references": ["Bogenschutz, P. A., A. Gettelman, C. Hannay, V. E. Larson, R. B. Neale, C. Craig, and C.-C. Chen (2018), The path to CAM6: Coupled simulations with CAM5.4 and CAM5.5, Geoscientific Model Development, 11, 235-255, https://doi.org/10.5194/gmd-11-235-2018.", "Danabasoglu, G., J.\u2010F. Lamarque, J. Bacmeister, D. A. Bailey, A. K. DuVivier, J. Edwards, et al. (2020), The Community Earth System Model Version 2 (CESM2). Journal of Advances in Modeling Earth Systems, 12, e2019MS001916. https://doi.org/10.1029/2019MS001916.", "Hurrell, J. W., J. J. Hack, D. Shea, J. M. Caron, and J. Rosinski (2008), A new sea surface temperature and sea ice boundary dataset for the Community Atmosphere Model, Journal of Climate, 21, 5145-5153, https://doi.org/10.1175/2008JCLI2292.1.", "Lawrence, D. M., R. A. Fisher, C. D. Koven, K. W. Oleson, S. C. Swenson, G. Bonan, et al. (2019), The Community Land Model version 5: Description of new features, benchmarking, and impact of forcing uncertainty, Journal of Advances in Modeling Earth Systems, 11, 4245-4287, https://doi.org/10.1029/2018MS001583."]}
DOI: 10.5281/zenodo.7975794
title: forpus_cyanopygius_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7975793
title: forpus_cyanopygius_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/5785212
title: "Dubai's Finest Eats: 13k+ Restaurant Dataset"
DOI: 10.5281/zenodo.7973048
title: Data for "Anomalous ionic transport in tunable angstrom-size water films on silica"

description: This file corresponds to data of the paper: "Anomalous ionic transport in tunable angstrom-size water films on silica"
DOI: 10.5281/zenodo.7973047
title: Data for "Anomalous ionic transport in tunable angstrom-size water films on silica"

description: This file corresponds to data of the paper: "Anomalous ionic transport in tunable angstrom-size water films on silica"
DOI: 10.6084/m9.figshare.21944810
title: Optimized geometries of DASA-2: Chloroform (e = 10)

description: Optimized geometries
DOI: 10.6084/m9.figshare.21944810.v1
title: Optimized geometries of DASA-2: Chloroform (e = 10)

description: Optimized geometries
DOI: 10.6084/m9.figshare.21944891
title: Optimized geometries of DASA-3: Chloroform

description: Optimized geometries
DOI: 10.6084/m9.figshare.21944891.v1
title: Optimized geometries of DASA-3: Chloroform

description: Optimized geometries
DOI: 10.6084/m9.figshare.21944894
title: Optimized geometries of DASA-3: Chloroform (e = 7.5)

description: Optimized geometries
DOI: 10.6084/m9.figshare.21944894.v1
title: Optimized geometries of DASA-3: Chloroform (e = 7.5)

description: Optimized geometries
DOI: 10.6084/m9.figshare.21944897
title: Optimized geometries of DASA-3: Chloroform (e = 10)

description: Optimized geometries <br>
DOI: 10.6084/m9.figshare.21944897.v1
title: Optimized geometries of DASA-3: Chloroform (e = 10)

description: Optimized geometries <br>
DOI: 10.5281/zenodo.7921890
title: A Standardized Precipitation Index (SPI) Climatology for the Continental U.S.

description: The standardized precipitation index SPI (McKee et al. 1993) was designed to standardize precipitation timeseries across an observational record in order to compute precipitation anomalies in both time and space. The SPI is a widely used drought index that represents the number of standard deviations that observed precipitation deviates from the climatological average precipitation measured at the same location and time period. We calculated the SPI using monthly 4 kilometer resolution precipitation data from the Parameter-elevation with independent slopes model (PRISM; Daly et al. 1994) for the conterminous United States. Monthly PRISM data from 1948-2022 were aggregated to warm season (May-September) and annual (calendar year) totals. SPI anomalies were calculated for each seasonal time window relative to the 1948-2022 timeperiod. Each timeseries of annual precipitation totals was fit to a Gamma probability distribution based on the L-moments of the data. We computed the cumulative distribution function (CDF) associated with the observations using the parameters from the aforementioned Gamma distribution. The CDF values were then evaluated within an inverse Gaussian function with a mean of zero and a standard deviation of one to obtain the final SPI value Coordinate Reference System (CRS) = EPSG:4326 McKee, T.B., N.J. Doesken and J. Kleist, 1993: The relationship of drought frequency and duration to time scale. In: Proceedings of the Eighth Conference on Applied Climatology, Anaheim, California,17–22 January 1993. Boston, American Meteorological Society, 179–184. Daly, C., R.P. Neilson, and D.L. Phillips. 1994. A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor., 33, 140-158.
DOI: 10.5281/zenodo.7921889
title: A Standardized Precipitation Index (SPI) Climatology for the Continental U.S.

description: The standardized precipitation index SPI (McKee et al. 1993) was designed to standardize precipitation timeseries across an observational record in order to compute precipitation anomalies in both time and space. The SPI is a widely used drought index that represents the number of standard deviations that observed precipitation deviates from the climatological average precipitation measured at the same location and time period. We calculated the SPI using monthly 4 kilometer resolution precipitation data from the Parameter-elevation with independent slopes model (PRISM; Daly et al. 1994) for the conterminous United States. Monthly PRISM data from 1948-2022 were aggregated to warm season (May-September) and annual (calendar year) totals. SPI anomalies were calculated for each seasonal time window relative to the 1948-2022 timeperiod. Each timeseries of annual precipitation totals was fit to a Gamma probability distribution based on the L-moments of the data. We computed the cumulative distribution function (CDF) associated with the observations using the parameters from the aforementioned Gamma distribution. The CDF values were then evaluated within an inverse Gaussian function with a mean of zero and a standard deviation of one to obtain the final SPI value Coordinate Reference System (CRS) = EPSG:4326 McKee, T.B., N.J. Doesken and J. Kleist, 1993: The relationship of drought frequency and duration to time scale. In: Proceedings of the Eighth Conference on Applied Climatology, Anaheim, California,17–22 January 1993. Boston, American Meteorological Society, 179–184. Daly, C., R.P. Neilson, and D.L. Phillips. 1994. A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor., 33, 140-158.
DOI: 10.6084/m9.figshare.21944807
title: Optimized geometries of DASA-2: Chloroform (e = 7.5)

description: optimized geometries
DOI: 10.6084/m9.figshare.21944807.v1
title: Optimized geometries of DASA-2: Chloroform (e = 7.5)

description: optimized geometries
DOI: 10.6084/m9.figshare.21944801
title: Optimized geometries of DASA-2: Chloroform

description: Optimized geometries
DOI: 10.6084/m9.figshare.21944801.v1
title: Optimized geometries of DASA-2: Chloroform

description: Optimized geometries
DOI: 10.6084/m9.figshare.21944786
title: Optimized Geometries of DASA-1: Toluene

description: Optimized geometries of DASA-1 using M06-2x/6-31+G(d,p)/SMD(toluene)
DOI: 10.6084/m9.figshare.21944786.v1
title: Optimized Geometries of DASA-1: Toluene

description: Optimized geometries of DASA-1 using M06-2x/6-31+G(d,p)/SMD(toluene)
DOI: 10.6084/m9.figshare.21944783
title: Optimized geometries of DASA 1: Chloroform (e = 10)

description: Optimized geometries of DASA-1 using M06-2x/6-31+G(d,p)/SMD(chloroform) with dielectric constant = 10
DOI: 10.6084/m9.figshare.21944783.v1
title: Optimized geometries of DASA 1: Chloroform (e = 10)

description: Optimized geometries of DASA-1 using M06-2x/6-31+G(d,p)/SMD(chloroform) with dielectric constant = 10
DOI: 10.5066/p91dpsfu
title: St. Louis Geotechnical Database, v2003

description: The St. Louis area has experienced minor earthquake damage at least 12 times in the past 205 years. The St. Louis metropolitan area, with a population of about 2.8 million, faces earthquake hazard from large earthquakes in the New Madrid and Wabash Valley seismic zones, as well as a closer region of diffuse historical and prehistoric seismicity to its south and east. Also, low attenuation of seismic energy in the region and a substantial number of historic older unreinforced brick and stone buildings make the St. Louis area vulnerable to moderate earthquakes at relatively large distances compared to the western United States. This geotechnical database was compiled by James Palmer and others at the Missouri Department of Natural Resources as the product of a U.S. Geological Survey (USGS) Earthquake Hazards Program external grant through the National Earthquake Hazards Reduction Program (NEHRP) supporting urban seismic hazards mapping efforts for the St Louis metropolitan area (https://earthquake.usgs.gov/cfusion/external_grants/reports/05HQGR0019.pdf). The data in Tables.zip have been exported from the original Microsoft Access database and have been reviewed for completeness. See Appendix A in the aforementioned report for additional details. For archival purposes, the Microsoft Access database is also provided here, but the queries within have not been reviewed and the user assumes all responsibility.
DOI: 10.6084/m9.figshare.21944906
title: Light sources used for standard studies

description: LED light sources used for irradiation of DASA samples
DOI: 10.6084/m9.figshare.21944906.v1
title: Light sources used for standard studies

description: LED light sources used for irradiation of DASA samples
DOI: 10.48567/szgp-6h49
title:  Amundsen-Scott South Pole Station climatology data, 1957-present (ongoing).
DOI: 10.6084/m9.figshare.21950285
title: Equilibrium of DASA-1: 1H NMR in DCM with additives

description: Equilibrium of DASA-1 in deuterated DCM with addition of deuterated ethanol, dimethyl sulfoxide, and acetonitrile
DOI: 10.6084/m9.figshare.21950285.v1
title: Equilibrium of DASA-1: 1H NMR in DCM with additives

description: Equilibrium of DASA-1 in deuterated DCM with addition of deuterated ethanol, dimethyl sulfoxide, and acetonitrile
DOI: 10.6084/m9.figshare.21948863
title: Observing intermediates: Measurement conditions

description: File with light sources used and their parameters (time constant, frequency, gain, probe spot diameter, probe source power, pump source power, pump spot size, pump time, sensitivity)
DOI: 10.6084/m9.figshare.21948863.v1
title: Observing intermediates: Measurement conditions

description: File with light sources used and their parameters (time constant, frequency, gain, probe spot diameter, probe source power, pump source power, pump spot size, pump time, sensitivity)
DOI: 10.34740/kaggle/dsv/5785252
title: "Corporate Landscape: 8K+ glassdoord dataset"
DOI: 10.48567/jgsm-ng38
title:  Observational data. Weddell Sea Buoy, February 1992 - January 1993.
DOI: 10.5281/zenodo.7975933
title: gypsophila_paniculata_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7975932
title: gypsophila_paniculata_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.7975920
title: polyGNN dataset: steel's micro/nano hardness prediction

description: The polyGNN dataset consists of a collection of grain-level load-depth curves corresponding to nano-indentation tests performed on a polycrystalline steel. The dataset is organized into relevant subfolders labeled as “${fmax} mN” with fmax = 0.25, 0.5, 0.75, 1, 1.25, 1.5, 1.75, 2, 2.5, 3, 3.5, 4, 4.5, 5, 7, 10 denoting the maximum indentation load used in each experimental set. Every subfolder contains 15 different load-depth files with the same fmax but at different indentation points which are labeled numerically from 1 to 15 as shown in Figure 1. These files include three columns representing the indentation time (s), depth (nm), and force (mN) measurements. To reconstruct the electron backscatter diffraction (EBSD) map, the file "stal_310_s_indenty_wszystkie.ang" can be loaded into the mtex software.
description: {"references": ["Kamran Karimi, Henri Salmenjoki, Katarzyna Mulewska, Lukasz Kurpaska, Anna Kosi\u0144ska, Mikko J. Alava, Stefanos Papanikolaou, \"Prediction of steel nanohardness by using graph neural networks on surface polycrystallinity maps\", Scripta Materialia, Volume 234, 2023, 115559"]}
DOI: 10.5281/zenodo.7975919
title: polyGNN dataset: steel's micro/nano hardness prediction

description: The polyGNN dataset consists of a collection of grain-level load-depth curves corresponding to nano-indentation tests performed on a polycrystalline steel. The dataset is organized into relevant subfolders labeled as “${fmax} mN” with fmax = 0.25, 0.5, 0.75, 1, 1.25, 1.5, 1.75, 2, 2.5, 3, 3.5, 4, 4.5, 5, 7, 10 denoting the maximum indentation load used in each experimental set. Every subfolder contains 15 different load-depth files with the same fmax but at different indentation points which are labeled numerically from 1 to 15 as shown in Figure 1. These files include three columns representing the indentation time (s), depth (nm), and force (mN) measurements. To reconstruct the electron backscatter diffraction (EBSD) map, the file "stal_310_s_indenty_wszystkie.ang" can be loaded into the mtex software.
description: {"references": ["Kamran Karimi, Henri Salmenjoki, Katarzyna Mulewska, Lukasz Kurpaska, Anna Kosi\u0144ska, Mikko J. Alava, Stefanos Papanikolaou, \"Prediction of steel nanohardness by using graph neural networks on surface polycrystallinity maps\", Scripta Materialia, Volume 234, 2023, 115559"]}
DOI: 10.6084/m9.figshare.21948671
title: Observing intermediates for DASA-3

description: Blank has no DASA added 700 nm was used as Probe B for DASA-3 640 nm was used as Pump for DASA-3
DOI: 10.6084/m9.figshare.21948671.v1
title: Observing intermediates for DASA-3

description: Blank has no DASA added 700 nm was used as Probe B for DASA-3 640 nm was used as Pump for DASA-3
DOI: 10.6084/m9.figshare.21944777
title: Optimized geometries of DASA-1: Chloroform (e = 7.5)

description: Optimized geometries of isomers A-C of DASA-1 using M06-2X/6-31+G(d,p) using SMD solvent model in chloroform with dielectric constant increased to 7.5
DOI: 10.6084/m9.figshare.21944777.v1
title: Optimized geometries of DASA-1: Chloroform (e = 7.5)

description: Optimized geometries of isomers A-C of DASA-1 using M06-2X/6-31+G(d,p) using SMD solvent model in chloroform with dielectric constant increased to 7.5
DOI: 10.6084/m9.figshare.21944474
title: Optimized geometries of DASA-1: Chloroform

description: Geometries of DASA-1 optimized using M06-2X/6-31+G(d,p) in chloroform using SMD solvent model
DOI: 10.6084/m9.figshare.21944474.v1
title: Optimized geometries of DASA-1: Chloroform

description: Geometries of DASA-1 optimized using M06-2X/6-31+G(d,p) in chloroform using SMD solvent model
DOI: 10.5281/zenodo.7975349
title: Growing Arabidopsis pollen tubes expressing genetically encoded reporters for calcium and pH

description: Spatiotemporal dynamics of intracellular pH (H+) and calcium (Ca2+) in growing Arabidopsis pollen tubes. Fluorescence time-lapses of pollen tubes expressing ratiometric sensors under the pollen-specific LAT52 promoter, namely CaMeleon (Ca2+) [Damineli et al., 2017; DOI: 10.1093/jxb/erx032] and pHluorin (pH) [Hoffmann et al., 2020; DOI: 10.1038/s41467-020-16253-1], were acquired every 4 seconds with an inverted microscope equipped with a front-illuminated camera (2560 × 2160, pixel size 6.45 μm), a fluorescence illuminator, and a ×63 1.2NA water immersion objective lens. The CaMeleon filters were set as follows: excitation 426-450 nm (CFP) and 505-515 nm (YFP), emission 458-487 nm (CFP) and 520-550 nm (YFP). As for pHluorin, the filter settings were: excitation 318-390 nm (DAPI) and 428-475 nm (FITC), emission 435-448 nm (DAPI) and 523-536 nm (FITC) [from Damineli et al., 2017; Hoffmann et al., 2020].
description: Supporting grants: NIH R01 grant GM131043 and NSF grants MCB1714993, MCB1930165. FAPESP grants 2020/06744-5, 2021/05363-0.
DOI: 10.5281/zenodo.7975350
title: Growing Arabidopsis pollen tubes expressing genetically encoded reporters for calcium and pH

description: Spatiotemporal dynamics of intracellular pH (H+) and calcium (Ca2+) in growing Arabidopsis pollen tubes. Fluorescence time-lapses of pollen tubes expressing ratiometric sensors under the pollen-specific LAT52 promoter, namely CaMeleon (Ca2+) [Damineli et al., 2017; DOI: 10.1093/jxb/erx032] and pHluorin (pH) [Hoffmann et al., 2020; DOI: 10.1038/s41467-020-16253-1], were acquired every 4 seconds with an inverted microscope equipped with a front-illuminated camera (2560 × 2160, pixel size 6.45 μm), a fluorescence illuminator, and a ×63 1.2NA water immersion objective lens. The CaMeleon filters were set as follows: excitation 426-450 nm (CFP) and 505-515 nm (YFP), emission 458-487 nm (CFP) and 520-550 nm (YFP). As for pHluorin, the filter settings were: excitation 318-390 nm (DAPI) and 428-475 nm (FITC), emission 435-448 nm (DAPI) and 523-536 nm (FITC) [from Damineli et al., 2017; Hoffmann et al., 2020].
description: Supporting grants: NIH R01 grant GM131043 and NSF grants MCB1714993, MCB1930165. FAPESP grants 2020/06744-5, 2021/05363-0.