cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/700b4bdd9641e6d6e6a57a28abce5d0f
title: Soil factors predict initial plant colonization on Puerto Rican landslides

description: Tropical storms are the principal cause of landslides in montane rainforests, such as the Luquillo Experimental Forest (LEF) of Puerto Rico .Â A storm in 2003 caused 30 new landslides in the LEF that we used to examine prior hypotheses that slope stability and organically enriched soils are prerequisites for plant colonization.Â We measured slope stability and litterfall in 1 m2 plots 8-13 months following landslide formation.Â At 13 months we also measured microtopography, soil characteristics (organic matter, particle size, total nitrogen, and water holding capacity), elevation, distance to forest edge, and canopy cover, as well as plant aboveground biomass, plant cover, and root biomass.
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6073/pasta/5763f0357ca17726c56dfe34e5ec11c1
title: Canopy Trimming Experiment (CTE) litterbag invertebrate counts and weights data

description: Identification, number and dry weight of invertebrates recovered from each litterbag.
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.34740/kaggle/dsv/7149625
title: Monthly Bilateral USD Exchange Rates 2013-2023
DOI: 10.5281/zenodo.10290406
title: IODP Expedition 383 Elemental analysis (CHNS)

description: Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
DOI: 10.5281/zenodo.10290405
title: IODP Expedition 383 Elemental analysis (CHNS)

description: Fundamental elemental component (total carbon, hydrogen, nitrogen, and sulfur) fluctuations help define the origin, depositional environment, and diagenetic alteration of source materials. To determine C, H, N, and S, solid samples are reacted with a catalyst, separated by chromatography, and detected by thermal conductivity on a FlashEA 1112 CHNS elemental analyzer. Organic carbon can be directly measured on the elemental analyzer by acidification of the sample to drive off carbonate as carbon dioxide before analyzing. Total organic carbon on this report is measured rather than calculated.
DOI: 10.5281/zenodo.10265104
title: Доклады  независимых авторов, выпуск 61

description: Специальный выпуск № 61Электродинамика от Ампера до ЭйнштейнаПеревод с английского – ВЛАДИМИР
Мы с удовольствием предлагаем этот специальный выпуск журнала с замечательной книгой Оливера Дарригола по истории электродинамики, ранее недоступной читателю на русском языке
DOI: 10.5281/zenodo.10265105
title: Доклады  независимых авторов, выпуск 61

description: Специальный выпуск № 61Электродинамика от Ампера до ЭйнштейнаПеревод с английского – ВЛАДИМИР
Мы с удовольствием предлагаем этот специальный выпуск журнала с замечательной книгой Оливера Дарригола по истории электродинамики, ранее недоступной читателю на русском языке
DOI: 10.48366/r655905
title: Review: Interpolation of missing AIS data in water transport using machine learning

description: The table gives an insight into the scientific papers that dealt with the problem of insufficient number of AIS data when processing ship trajectories. Missing AIS data of a ship refers to the gaps or missing information in the Automatic Identification System (AIS) data transmitted by the ship, which can occur due to various factors such as signal interference, equipment malfunction, or other technical issues. These missing data points can lead to gaps in the vessel's trajectory, which can affect the accuracy of the ship's position, course, and speed information, and can potentially impact maritime safety and navigation. Interpolating missing AIS data can help to recover the lost data and produce useful information for VTS stations or other ships. Interpolation is a mathematical technique used to estimate the value of a function or data point between two known values. Interpolation methods are used to fill in missing data points or to estimate values at points where data is not available. There are various interpolation methods, including linear interpolation, polynomial interpolation, spline interpolation and others types of interpolation like Long Short-Term Memory (LSTM) network, Random Forest (RF) algorithm and U-Net. The choice of interpolation method depends on the nature of the data and the desired level of accuracy.
DOI: 10.6073/pasta/90a18ce68c7f24494c3ef98dd25e7dd5
title: Physical and chemical attributes of Quebrada Prieta, Bisley 3, Bisley 5, and Toronja related to shrimp populations measurements

description: Physical parameters, and sizes of two species of freshwater shrimps (Atya lanipes and Xiphocaris elongata) in four headwater streams (Prieta, Toronja, Bisley 3 and Bisley 5) have been censused 2 times yearly since 1998 to determine the effects of predatory fishes on shrimp size and spatial distributions of pools relative to locations of waterfalls.
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.5281/zenodo.10290411
title: IODP Expedition 383 Closeup images

description: Close-up images taken by digital cameras as requested by the science party, typically when the section-half image is not sufficient. Close-up photographs of the areas of interest may be taken from whole-round sections, pieces, or section halves in sediments and rock.
DOI: 10.5281/zenodo.10290412
title: IODP Expedition 383 Closeup images

description: Close-up images taken by digital cameras as requested by the science party, typically when the section-half image is not sufficient. Close-up photographs of the areas of interest may be taken from whole-round sections, pieces, or section halves in sediments and rock.
DOI: 10.6073/pasta/b5c065ccf2be4ab28dae517087946be8
title: Canopy Trimming Experiment (CTE) Microbial EL-FAME Data

description: The canopy trimming experiment at El Verde simulates some aspects (canopy openness and biomass redistribution) of hurricane disturbances. Soil samples and leaf litter were gathered from three replicate blocks, each with four treatment plots in Tabonuco Forest at in El Verde. Treatments (canopy trimming and debris addition) were applied in a 2 x 2 factorial design. Samples were obtained both before and after the canopy were trimmed and debris was applied in the appropriate treatments. Samples were collected every four months before and after treatments were applied. Molecular approaches such as EL-FAME are useful indicators of microbial community shifts in response to environmental change. In this experiment we analyzed microbial community composition and abundance in soil and leaf litter samples as reflected by EL-FAME profiles. All soil samples were cleaned by removing rocks and roots, and leaf litter samples were ground. Fatty acid nomenclature: Fatty acids are named according to the conversion X:YÏ‰Z, where X represents the number of carbon atoms in the chain, followed by Y after the colon which represents the degree of the unsaturation. The symbol Ï‰ and Z represent the number of double bonds nearest to the carboxyl end. The prefixes a, i, cy and d refer to anteiso, iso, cyclopropyl branching and dicarboxylic fatty acid respectively; br indicates that the type of branching is unknown, while a number followed by Me indicates position of methyl group. Prefixes a and b indicate that the OH groups of an OH fatty acid are located at positions 2 and 3 respectively. Numbers preceded by w indicate the position of OH groups from the aliphatic end of the fatty acids (Kaur et al 2005). Community analysis based on fatty acids: Fatty acid biomarkers could represent a group of particular microorganisms present in soil and leaf litter. Fatty acids used in literature as biomarkers are: Branched chain fatty acids (br 17:0, br 18:0, i17:0, a17:0, i16:0, i16:1, 10Me16:0, 10Me17:0), iso and anteiso isomers of 15:0 for gram positive bacteria; Cyclopropane fatty acids (cy17:0, cy19:0, 16:1w9, 16:1w7c, 16:1w5, 18:1w7,19:1) for gram-negative bacteria; 18:2w6 for fungi; 10Me16:0, 10Me17 : 0 and 10Me18 : 0 for Actinomycetes; cy17:0 and 10Me16:0 for Sulphate reducing bacteria; 16:1w8, 18:1w8 for Methanogens (Modified from Zelles, 1999; Kaur et al 2005).
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.5281/zenodo.10290512
title: IODP Expedition 383 Stratigraphic Correlation

description: Affine and splice files created for stratigraphic correlation.
DOI: 10.5281/zenodo.10290513
title: IODP Expedition 383 Stratigraphic Correlation

description: Affine and splice files created for stratigraphic correlation.
DOI: 10.6084/m9.figshare.24768714
title: 64 ASL Hand Shapes Data Glove Recordings

description: Human-to-human communication via the computer is mainly done using a keyboard or microphone. In the field of Virtual Reality (VR), where the most immersive experience possible is desired, the use of a keyboard contradicts this goal, while the use of a microphone is not always desirable (e.g. silent commands during task force training) or simply not possible (e.g. if the user has a hearing loss). Data gloves help to increase immersion within the VR as they correspond to our natural interaction. At the same time, they offer the possibility to accurately capture hand shapes, such as those used in non-verbal communication (e.g. thumbs up, okay gesture, ...) and in sign language. In this paper, we present a hand shape recognition system using Manus Prime X data gloves, including data acquisition, data preprocessing, and data classification to enable nonverbal communication within VR. We investigate the impact on accuracy and classification time of using an Outlier Detection and a Feature Selection approach in our data preprocessing. To obtain a more generalized approach, we also studied the impact of artificial Data Augmentation, i.e., we create new artificial data from the recorded and filtered data to augment the training dataset. With our approach, 56 different hand shapes could be distinguished with an accuracy of up to 93.28%. With a reduced number of 27 hand shapes, an accuracy of up to 95.55% could be achieved. Voting Meta-Classifier (VL2) has proven to be the most accurate, albeit slowest, classifier. A good alternative is Random Forest (RF), which was even able to achieve better accuracy values in a few cases and was generally somewhat faster. Outlier Detection has proven to be a effective approach, especially in improving classification time. Overall, we have shown that our hand shape recognition system using data gloves is suitable for communication within VR.64 different hand shapes were recorded from 20 participants, each with 3 repetitions. The files are structured as follows:1st line Name of the hand shape2nd line Left or right hand3rd line empty4th-23rd line Features Repetition 124th line empty25th - 44th line Features repetition 245th line blank46th - 65th line Features repetition 3The features are ordered as follows:Thumb spreadIndex Finger spreadMiddle Finger spreadRing Finger spreadPinky spreadThumb stretch CMCThumb stretch MCPThumb stretch IPIndex Finger stretch MCPIndex Finger stretch PIPIndex Finger stretch DIPMiddle Finger stretch MCPMiddle Finger stretch PIPMiddle Finger stretch DIPRing Finger stretch MCPRing Finger stretch PIPRing Finger stretch DIPPinky stretch MCPPinky stretch PIPPinky stretch DIP
DOI: 10.6073/pasta/4c30caee28437367f45ac655aa1f4e23
title: Bromeliad invertebrates at different elevations in Dominica

description: Collection details of bromeliads collected for invertebrate community and diversity analysis from 3 localities in Dominica. Dates, location, plant size, amounts, pH and temp. of contained water, weights of debris retained by the bromeliads, and counts of organisms, identified to species or morphospecies, collected from each plant.
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.6073/pasta/b887b046dfb58f40bcbaa4c04309adeb
title: Canopy Trimming Experiment (CTE) Litterfall

description: This data set shows forest litter production and its response to the canopy trimming and debris addition or removal treatments. In addition, it shows patterns of interannual variation that can be related to environmental variables. In combination with data set 111 (MRCE Litterfall data), this is the long-term monitoring of leaf litter production at El Verde Research Area. The data reported here are for mass of litterfall pooled among collection baskets placed in the inner 20x20 m measurement plots collected at two-week intervals, beginning two years before the first treatments were applied. The litter mass data are reported for litter separated by plant parts. Litterfall contributes to mobilization of organic matter and nutrients from primary producers to soil.
 
 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
DOI: 10.5281/zenodo.10290484
title: IODP Expedition 383 Core composite images

description: A digital composite image (PNG) is made for each core comprising core sections scanned using a line-scan camera. The composite layout is equivalent to traditional core table photos. Top left is top of core; color and meter rule references are included.
DOI: 10.5281/zenodo.10290485
title: IODP Expedition 383 Core composite images

description: A digital composite image (PNG) is made for each core comprising core sections scanned using a line-scan camera. The composite layout is equivalent to traditional core table photos. Top left is top of core; color and meter rule references are included.
DOI: 10.5281/zenodo.10290530
title: IODP Expedition 383 Visual core description

description: Descriptions of samples, generally at the section half and smear slide or thin section scale, were performed by shipboard scientists and recorded in the JRSO description software. Descriptive data for both macroscopic and microscopic examination were collected in a Microscoft Excel workbook by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.10290531
title: IODP Expedition 383 Visual core description

description: Descriptions of samples, generally at the section half and smear slide or thin section scale, were performed by shipboard scientists and recorded in the JRSO description software. Descriptive data for both macroscopic and microscopic examination were collected in a Microscoft Excel workbook by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.10290523
title: IODP Expedition 383 Micropaleontology

description: Paleontological data were collected using microscopes and recorded in the JRSO description software. All data for a species group (e.g., diatoms or nannofossils) were collected in a Microsoft Excel worksheet by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.10290522
title: IODP Expedition 383 Micropaleontology

description: Paleontological data were collected using microscopes and recorded in the JRSO description software. All data for a species group (e.g., diatoms or nannofossils) were collected in a Microsoft Excel worksheet by hole. A zip file of the entire expedition's observations is also available.
DOI: 10.5281/zenodo.10290516
title: IODP Expedition 383 Inorganic carbon (coulometer)

description: Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
DOI: 10.5281/zenodo.10290517
title: IODP Expedition 383 Inorganic carbon (coulometer)

description: Inorganic carbon (carbonate) is determined by coulometry, which uses a photodetection cell to measure carbon dioxide evolved during sample acidification. Report includes percent inorganic carbon and calcium carbonate.
DOI: 10.48577/jpl.3rcold
title: S-MODE Datasets Cloud Access

description: No abstract available.
DOI: 10.48577/jpl.k04xsn
title: Organic World Titan

description: No abstract available.
DOI: 10.48577/jpl.yrf11n
title: Staring at the Sun with the Keck Planet Finder: The Solar Calibrator

description: Extreme precision radial velocity (EPRV) measurements contend with internal noise (instrumental systematics) and external noise (intrinsic stellar variability) on the road to 10 cm s−1 “exo-Earth” sensitivity. Both of these noise sources are well-probed using “Sun-as-a-star” RVs and cross-instrument comparisons. We built the Solar Calibrator (SoCal), an autonomous system that feeds stable, disc- integrated sunlight to the recently commissioned Keck Planet Finder (KPF) at W. M. Keck Observa- tory. With SoCal, KPF acquires signal-to-noise ∼ 1200, R = 98,000 optical (445–870 nm) solar spectra in a 5 sec exposure at unprecedented cadence for an EPRV facility using KPF’s fast readout mode (&lt; 16 sec between exposures). Comparing solar measurements across the growing global network of EPRV spectrographs with solar feeds will allow EPRV teams to disentangle internal and external noise sources. and benchmark spectrograph performance. To facilitate this, all SoCal data products are immediately available to the public on the Keck Observatory Archive. We compared SoCal RVs to contemporaneous RVs from NEID, the only other public EPRV solar dataset. On timescales of several hours, we find agreement at the 30–40 cm s−1 level, which is comparable to the combined noise floor of KPF and NEID. SoCal has been instrumental in assessing detector problems and wavelength cal- ibration towards optimizing KPF’s performance during commissioning. Long term SoCal operations will collect upwards of 1,000 solar spectra per six hour day using KPF’s fast readout mode, facilitating stellar activity studies on our nearest solar-type star.
DOI: 10.48577/jpl.wgsyz3
title: Advances in Precipitation Retrieval and A pplications from Low Earth Orbiting Satellite Information

description: Virtual NOAA Workshop on “Precipitation Estimation from LEO Satellites: Retrieval and Applications. What: Scientists and stakeholders from precipitation sensor developers, remote sensing algorithm developers, and data users gathered to discuss the state of the science and users’ needs for operational precipitation algorithms and products from current and future meteorological satellites. When: 1–2 March 2023 Where: Virtual, Organized by the Center for Hydrometeorology and Remote Sensing, University of California, Irvine
DOI: 10.48577/jpl.tl9sza
title: A hyperspectral view of the nearshore Mississippi River Delta: characterizing suspended particles in coastal wetlands using imaging spectroscopy

description: Earth is experiencing unprecedented climate change driven by anthropogenic activities. The Paris Climate Agreement is the most recent international agreement pushing nations to curtail greenhouse gas emissions and balance carbon sources and sinks. To help meet the standards set forth in the Paris Climate Agreement, countries can incorporate ecosystems known to sequester and store carbon into their nationally determined contributions (NDC). Saline, brackish, and freshwater aquatic and wetland ecosystems (i.e., wet carbon) are known for having some of the highest rates of carbon sequestration, and have the capacity to store carbon for long periods of time (e.g., decades to centuries). Integration of wet carbon (WC) systems into NDC is challenging due to their inherent complexities. WC systems are globally expansive, spatially heterogeneous at all scales (e.g., site, local, regional), exhibit temporal variation, and form complex linkages with adjacent terrestrial systems. To study the carbon state of WC systems at the level that is needed for policy, use of remote sensing platforms (e.g., UAV, airborne, and spaceborne) is necessary. Because of the high prevalence of water in WC systems and waters absorption of key electromagnetic wavelengths, multispectral remote sensing is inadequate to fully study WC systems. Imaging spectroscopy has the capability to discern the numerous variables that determine the carbon state of a WC system. To date, imaging spectroscopy has been, generally, underutilized for studying WC systems. The limited availability of imaging spectrometers, compared to multispectral sensors, on all remote sensing platforms has contributed to the lack of more hyperspectral-WC studies. While the past decade has seen increases in hyperspectral-WC studies, we found the global wet carbon habitats are highly unevenly monitored. A new generation of spaceborne imaging spectrometers that will lead the pathway of WC systems mapping and monitoring globally.
DOI: 10.48577/jpl.xckfmv
title: Flight Software for Space Systems

description: No abstract available.