cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/c42752bdcd4c5a7455e3505a96d7e457
title: RIV01 Stream water isotopes in wooded riparian areas and areas where canopy had been cut at Konza Prairie

description: The stream water samples are the same as collected for the NWC01 dataset. Water samples are frozen (-3 C) in sealed polyvinyl bottles until time of processing. These water samples are thawed, subsampled at 1 mL, and analyzed for delta18O and delta2H using a Picarro L2130-i isotopic water analyzer. Samples are corrected using in-house standards calibrated to the international standard, V-SMOW. The long-term precision for delta18O is 0.1 permil and for delta2H is 1 permil.
DOI: 10.5281/zenodo.7534770
title: Dataset: Evaluation of post-hoc interpretability methods in time-series classification

description: This repository contains the dataset, trained models as well as results for the article <em>Evaluation of post-hoc interpretability methods in time-series classification.</em> The code to reproduce the results presented in the article is available on GitHub. More details on the data and results can be found in the article. <strong>Files:</strong> <strong>datasets.zip: </strong>Include the three datasets used in the article: <strong>ECG: </strong>Processed version of the CPSC dataset from <em>Classification of 12-lead ECGs: the PhysioNet - Computing in Cardiology Challenge 2020.</em> <strong>fordA: </strong>Dataset from the UCR Time Series Classification Archive <strong>synthetic: </strong>Synthetic dataset developed specifically for the purpose of the article <strong>trained_models.zip: </strong>Include CNN, transformer and bi-lstm trained on the three datasets <strong>results_paper.zip: </strong>Computed relevance and evaluation metrics for the trained models <strong>model_interpretability: </strong>Include the relevance computed using the different interpretability methods as well as the computed metrics for each method <strong>summary_results: </strong>Summary of the evaluation metrics across all interpretability methods for each dataset as well as an excel file summarising the metrics across all datasets.
DOI: 10.5281/zenodo.7595715
title: Sargassum sp extract improve Hematological profile of Tilapia fish (Oreochromis niloticus)

description: Strategies to increase body resistance and prevent disease in cultivation include using vaccines, antibiotics, and probiotics. Today, the use of antibiotics with natural ingredients is becoming a trend. One of the natural ingredients that contain high antioxidants and antibiotics is <em>Sargassum</em> sp. This research was conducted from March to May 2022 at the Biotechnology Laboratory, Faculty of Fisheries and Marine, Universitas Riau. This research was conducted in two stages, namely 1) the sensitivity of extracts of <em>Sargassum</em> sp. and 2) the application of <em>Sargassum</em> sp. extract orally in tilapia (<em>O. niloticus</em>). The results showed that the extract of <em>Sargassum</em> sp. was able to inhibit the growth o<em>f Aeromonas hydrophila </em>bacteria with a clear zone of 6.5-15.0 mm, which is classified as resistant. At doses of 2000, 2500, and 3000 ppm, it did not cause death in fish for 96 hours (LD<sub>50</sub>). Hematological parameters can be a sign of the health status of fish. Tilapia given to the addition of <em>Sargassum</em> sp. with different doses gave an effect between treatments, both after 30 days of rearing and post-test against <em>A.hydrophila</em> bacteria (p&lt;0.05). The results showed that the hematology of fish fed with <em>Sargassum</em> sp. extract was in the normal or healthy range. Healthy tilapia had erythrocyte counts ranging from 1.34-2.11 x10<sup>6</sup> cells/mm<sup>3</sup>, hematocrit 26.17-33.19%, hemoglobin 6.26-11.2 g/dL and total leukocytes 1.01-1.50 x10<sup>4</sup> cells/mm<sup>3</sup> and total erythrocytes 5.88-9.13x10<sup>4</sup> cells/ mm<sup>3</sup>. A dose of 3000 ppm provided the highest health improvement against <em>A.hydrophila</em> bacterial infection
DOI: 10.6073/pasta/6c27e23f7b47624602afc64402197979
title: PGL01 Litterfall collection in riparian gallery forest at Konza Prairie

description: Litterfall is collected monthly (more frequently during peak litterfall in October and November) at permanent sampling sites in the mixed deciduous gallery forest located along the lower reaches of Kings Creek at the Konza Prairie Biological Station. Thirty litterfall traps, 50 x 50 cm (.25 m2) are located along the north fork of Kings Creek, and two are located on the south fork of Kings Creek. The north fork boxes are numbered 31 to 60 and the south fork boxes are numbered 1 and 2. Originally, the south fork also had boxes 3 to 30 but these samplers were terminated in 1993 due to repeated damage by bison. (Boxes 1 and 2 are located just outside the bison area.) Samples are sorted in the lab, and mass of wood, seeds, and foliage are recorded separately.
DOI: 10.6084/m9.figshare.21629564
title: Supplementary Material for: Resolution of Melanoma to Programmed Death-1 Blockade but Simultaneous Rapid Progression of Concomitant Chronic Lymphocytic Leukemia

description: Here, we present a novel case of a patient with chronic lymphocytic leukemia (CLL) who received CTLA-4 and then PD-1 immune-checkpoint blockade (ICB) as treatment for concomitant metastatic melanoma. Whereas the metastatic melanoma was responsive to ICB, the CLL rapidly progressed (but responded to ICB cessation and ibrutinib). There were no new genetic mutational drivers to explain the altered clinical course. PD-1/PD-L1/PD-L2 and CTLA-4/CD80/CD86 expression was not increased in CLL B cells, CD8<sup>+</sup> or CD4<sup>+</sup> T-cell subsets, or monocytes. The patient’s CLL B cells demonstrated strikingly prolonged in vitro survival during PD-1 blockade, which was not observed in samples taken before or after ICB, or with other patients. To our knowledge, a discordant clinical course to ICB coupled with these biological features has not been reported in a patient with dual malignancies.
DOI: 10.3886/e189824
title: Data and code for: The Mental Health of Caregivers and Young Children in Conflict-Affected Settings.

description: We analyze the effects of conflict-related violence on the mental health of caregivers and young children, and the role of caregivers' mental health in explaining the toll of conflict on early childhood mental health. Although an upcoming body of work has demonstrated the link between caregivers' and children’s mental health, the role of caregiver's psychological constraints has been largely ignored in research and programming in conflict-affected settings. We demonstrate how these constraints play a role in the intergenerational transmission of mental health problems and emphasize the urgency of addressing caregiver’s mental health within early childhood development programs in conflict-affected settings.
DOI: 10.1285/i1825229xv7n2p175
title: A case study on the application of the MSFD to Mediterranean coastal systems: the Po plume, as a transitional water system in the Northern Adriatic basin

description: 1 - In the frame of the Marine Strategy Framework Directive (MSFD) of the European Community, in order to assess the Good Environmental Status (GES) of the marine coastal and estuarine waters, the eutrophication descriptors include several aspects of the phytoplankton communities (such as composition, abundance and biomass).
2 - Two oceanographic campaigns were carried out in the area off the Po River plume, where a highly dynamic frontal zone separates an inshore and an offshore system. The coupling of size structure and diagnostic pigments of phytoplankton communities in relation to different environmental contexts are tested as an expedite and informative tool to assess water quality sensu MSFD.
3 - The Po plume creates a very dynamic frontal zone, resulting in strong trophic gradients within a relatively small area.
4 - The spatio-temporal variability of salinity in coastal waters and in transitional waters plays a pivotal role in structuring phytoplankton communities.
5 - The dynamics of forcing factors drive changes in cell-size structure, in the functional group composition as well as a shift in size within the same functional group.
6 - The combination of phytoplankton size-structure and chemotaxonomic compositions is proposed as an expedite tool for investigating, at the appropriate scales, the ecology of transitional water systems.
DOI: 10.21413/phebus-euv-mercury_l1a_v0.1_latmos
title: Level 1A BepiColombo/PHEBUS EUV observations data of the disk-integrated solar reflected light from the Mercury surface

description: On October 9th and 10th 2021, nine days after the first flyby of Mercury by the ESA-JAXA mission BepiColombo, the EUV spectrograph of Probing the Hermean Exosphere by UV Spectroscopy (PHEBUS) instrument aboard BepiColombo observed the disk-integrated solar reflected light from the surface of Mercury between 90 and 160 nm at a distance of 4.5 million kilometers. These observations are used to derive the EUV reflectance of the surface of Mercury in this wavelength range for the first time since the Mariner 10 observations in 1974-1975. This dataset contains the partially processed (level 1A) science data version 0.1 of these observations, compliant with the PDS4 archiving standard format (i.e data that have been processed beyond the raw stage but which have not yet reached calibrated status). Data from other observations possible at several periods during the rest of the cruise may be added later. Note: version 0.1 is the unofficial version of Phebus data maintained and archived by the PHEBUS team before data ingestion into the ESA Planetary Science Archive (PSA).
description: Product data level : partially calibrated data (level 1A), compliant with PDS4
description: https://phebus.projet.latmos.ipsl.fr/en/
description: https://www.esa.int/Science_Exploration/Space_Science/BepiColombo
description: Publications: [1] Chassefière, E., J-L. Maria, J-P. Goutail, E. Quémerais, F. Leblanc, S. Okano, I. Yoshikawa, O. Korablev, V. Gnedykh, G. Naletto, P. Nicolisi, M-G. Pelizzo, J-J. Correia, S. Gallet, C. Hourtoule, et al. PHEBUS : a double ultraviolet spectrometer to observe Mercury’s exosphere, Planet. Space Sci., 58, 201-223, (2010); "https://doi.org/10.1016/j.pss.2008.05.018" [2] Qumerais, E., J-Y. Chaufray, D. Koutroumpa, F. Leblanc, A. Reberac, B. Lustrement, C. Montaron, J-F. Mariscal, N. Rouanet, I. Yoshikawa, G. Murakami, K. Yoshioka, O. Korablev, D. Belyaev, M.G. Pelizzo, A. Corso, and P. Zuppella, PHEBUS on BepiColombo : Post-launch update and instrument performance, Space Sci. Rev., 216 :67, (2020); "https://doi.org/10.1007/s11214-020-00695-6"
DOI: 10.25318/3310046201-eng
title: Innovation activities of small and medium enterprises

description: Rate of participation in innovation and reasons for not innovating for small and medium enterprises within the last three years by region, CMA level, North American Industry Classification System (NAICS), demographics, age of business, employment size, rate of growth, etc.
DOI: 10.25318/3710010901-eng
title: Number of students in elementary and secondary schools, by school type and program type

description: The number of students in regular programs for youth, general programs for adults, and vocational programs for youth and adults in public and private/independent schools, and home-schooling at the elementary-secondary level, by school type and program type, last five school years.
DOI: 10.5066/p9x08w4t
title: Biophysical drivers for predicting the distribution and abundance of invasive yellow sweet clover in the Northern Great Plains

description: Yellow sweetclover (Melilotus officinalis; YSC), an invasive biennial legume, bloomed throughout the Northern Great Plains (NGP) following greater-than-average precipitation during 2018-2019. YSC can increase nitrogen (N) levels and potentially cause broad changes in the composition of native plant species communities. There is little knowledge of the drivers behind its spatiotemporal variability, including conditions causing significant widespread blooms across western South Dakota (SD). We aimed to develop a generalized prediction model to map the relative abundance of YSC in suitable habitats across rangelands of western SD for the recent sweet clover year 2019. The following research questions were asked: 1. What is the spatial extent of YSC across western SD? 2. Which model can accurately predict the habitat and percent cover of YSC? and 3. What environmental drivers affect its presence across western SD? We trained machine learning models with in-situ data (2016-2021), Sentinel 2A-derived surface reflectance and indices (10m and 20m) and site-specific variables (e.g., climate, topography, land cover, and edaphic factors) to optimize model estimates. Our study identified the most suitable drivers to explain the variability in YSC presence and its percent cover through data dimensionality reduction techniques. Our research demonstrated how machine learning algorithms could help generate valuable information on the spatial distribution of invasive rangeland plant species. We found major YSC hotspots in Butte and Meade counties of SD. The floodplains of major rivers in SD, such as the Cheyenne, White, and Bad Rivers, also showed a higher occurrence probability and percent cover range. These prediction maps could aid land managers in devising strategies for regions that are prone to YSC overruns. This management workflow can serve as a prototype for mapping other invasive plant species worldwide.
DOI: 10.5067/nrjwambmn6jd
title: Smerge-Noah-CCI root zone soil moisture 0-40 cm L4 daily 0.125 x 0.125 degree V1.0
DOI: 10.5281/zenodo.5529699
title: spn-probe

description: Trace testing the Internet Archive's SavePageNow service
DOI: 10.6073/pasta/0d26c8854f8ffda1db92305e0e761806
title: Long-term relationships between seed banks and wildfire across four North American desert sites

description: It is well documented that the recovery of dryland plant communities following wildfire can be variable, and that legacies of fire can have long lasting effects on aboveground plant communities. However, our understanding of the degree to which dryland soil seed banks, or the viable seeds in situ, are impacted by fire and their subsequent post-fire succession remains extremely poor. To address this important knowledge gap, we used a time-since-fire approach to investigate soil seed bank community changes approximately 15 and 30 years after wildfire and to determine the influence of microsites (e.g., shrub vs. interspace) on seed bank composition. We assessed soil seed bank metrics across four North American deserts, including two cold desert sites (Colorado Plateau and Great Basin) and two warm desert sites (Chihuahuan and Sonoran). In greenhouse emergence trials, we found that seed bank characteristics diverged between warm and cold desert sites, such that warm desert sites had seed banks dominated by annual plants while our cold desert sites had seed banks with greater proportions of perennial species, regardless of fire history. In cold desert sites, fire significantly altered seed bank species composition even 30 years after fire. Shrub versus interspace microsites had no observed influence on seed bank composition in any desert. However, seed bank species richness was greater under shrubs in both warm deserts. Non-native species were present in the seed banks of all deserts, and some were particularly abundant in the burned sites. Despite the presence of native species in both burned and unburned seed banks, the presence of non-native species suggests some degree of vulnerability to future disturbances because fire can create positive feedbacks with many non-native plants. Our results highlight strong differences in fires’ relationship with seed banks for warm and cold desert sites and lend insight into how fire relates to the composition and diversity of the seeds that play a fundamental role in future plant communities.
DOI: 10.6073/pasta/e3232d05160858b7eafe591639130041
title: Time series of carbon dioxide and methane fluxes measured with eddy covariance for Falling Creek Reservoir in southwestern Virginia, USA during 2020-2022

description: Measured eddy covariance data and fluxes (carbon dioxide, methane) collected at the deepest site of Falling Creek Reservoir (Vinton, Virginia, USA) every 30-minutes from April 2020 to December 2022. Falling Creek Reservoir is a drinking water supply reservoir owned and managed by the Western Virginia Water Authority (WVWA) as a primary drinking water source. The data set consists of micrometeorological and flux data collected using an eddy covariance system (LiCor Biosciences, Lincoln, Nebraska, USA) and analyzed with associated Eddy Pro software (Eddy Pro Version 7.0.6), including carbon dioxide and methane fluxes. All analysis scripts are included for data processing and quality assurance/quality control following best practices.
DOI: 10.17632/ntrcpcyxzz.1
title: KPDFI

description: It is a dataset for KPDFI
DOI: 10.17632/r24rdxt73j.3
title: Remotely sensed ensemble of the water cycle

description: We present a new REmotely Sensed ENsemble of the water cycle (REESEN). The REESEN approach generates a large number of realizations of the remotely sensed water budget and enforces closure for each realization. The REESEN approach is applied to 24 large river basins from Oct. 2002- Dec. 2014. Three water balance closure algorithms are evaluated, ranging from simple redistribution of residuals to more complex Kalman-filtering and multiple-collocation approaches, to understand the impact of algorithm choice on the resulting water budget partitioning. Therefore, three REESEN ensembles are generated at each basin, one for each closure technique. Compared with a published climate data record, the ensemble shows strong agreement for precipitation, evapotranspiration and changes in storage (R2: 0.91-0.95), with less agreement for streamflow (R2: 0.42-0.47), which may be indicative of LSM biases in the climate data record. Water balance residual errors resulting from combinations of raw products vary significantly (p&lt;0.001) with latitude, with a tendency for positive biases for low- and mid-latitude basins, and negative biases elsewhere. Overall, residual errors are equivalent to 15% of total precipitation when averaged across all data products and basins. Enforcing water balance closure reduces uncertainty relative to raw retrievals for 88%-100% of all timesteps. This observation-based dataset is distinct from modeled estimates and therefore has the potential to preserve important information of anthropogenic effects on the water balance. For example, the ensemble shows higher evapotranspiration and greater storage depletion than the model-based climate data record during months of heavy irrigation over the Sacramento-San Joaquin basin system. MATLAB files were created for REESEN ensembles used in Abolafia-Rosenzweig et al. (2020). There is one file for each basin system and each closure algorithm: proportional redistribution (PR), multiple collocation (MCL), constrained Kalman filter (CKF). The file descriptions are described in the README. Shapefiles used in the study (Fig. 1 of Abolafia-Rosenzweig et al., 2020) are in corresponding folders to each basin.
DOI: 10.18434/t4mk5p
title: NIST Electron Effective Attenuation Length Database, NIST Standard Reference Database 82
DOI: 10.21227/48w5-2682
title: EV8TOZ Instrument and soft calibration tables

description: This file include Instrument lookup tables for EV8TOz algorithm use. It also inlcude sensor soft calibration tables.
DOI: 10.3886/e189824v1
title: Data and code for: The Mental Health of Caregivers and Young Children in Conflict-Affected Settings.

description: We analyze the effects of conflict-related violence on the mental health of caregivers and young children, and the role of caregivers' mental health in explaining the toll of conflict on early childhood mental health. Although an upcoming body of work has demonstrated the link between caregivers' and children’s mental health, the role of caregiver's psychological constraints has been largely ignored in research and programming in conflict-affected settings. We demonstrate how these constraints play a role in the intergenerational transmission of mental health problems and emphasize the urgency of addressing caregiver’s mental health within early childhood development programs in conflict-affected settings.
DOI: 10.5281/zenodo.3572359
title: Dataset for Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study

description: This dataset contains all the spectra used in "Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study". Data are available in 2 different formats: - a compressed archive with 1 folder ("Dataset”) cointaining all the 3516 TXT files (1 file = 1 spectrum) uploaded by all participants (all spectra of the Interlaboratory study); - 1 single CSV file (“ILSspectra.csv”) with all the 3516 spectra uploaded by all participants in the form of a table. The data are structured as follow, with each row being 1 spectrum, preceded by metadata: "labcode", "substrate", "laser", "method", "sample", "type", "conc", "batch", "replica". Note that for those spectra starting after 400 cm-1 and/or ending before 2000 cm-1 missing values were expressed as NAs.
description: This dataset is based upon work from COST Action Raman4Clinics – Raman-based applications for clinical diagnostics (BM1401), supported by COST (European Cooperation in Science and Technology) – www.cost.eu
DOI: 10.5281/zenodo.7674968
title: Raw data set used for a paper by Gonçalves Jr. et al.

description: Data set of aerosol particle compositions measured using synchrotron-based multi-element microscopic speciation of individual microparticles (Scanning Transmission X-ray Microscopy with Near- Edge X-ray Absorption Fine Structure Spectroscopy combined with Computer-Controlled Scanning Electron Microscopy) used in results at a paper by Gonçalves Jr. et al. The samples were collected during the 2014 Summer Criosfera-1 (West Antarctica) campaign.
description: {"references": ["Moffet, R. C., Henn, T., Laskin, A. & Gilles, M. K. Automated chemical analysis of internally mixed aerosol particles using X-ray spectromicroscopy at the carbon K-edge. Analytical chemistry 82, 7906\u20137914 (2010).", "Piens, D. S. et al. Measuring mass-based hygroscopicity of atmospheric particles through in situ imaging. Environmental science & technology 50, 5172\u20135180 (2016).", "Laskin, A., Iedema, M. J. & Cowin, J. P. Quantitative time-resolved monitoring of nitrate formation in sea salt particles using a CCSEM/EDX single particle analysis. Environmental science & technology 36, 4948\u2013 579 4955 (2002)."]}