cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gwf0t
title: CCDC 2290466: Experimental Crystal Structure Determination

description: Related Article: Jinfang Zhang, Zhuo Lin, Yinlong Yue, Qinghan Chen, Dejing Yin, Chi Zhang|2023|New J.Chem.|47|21986|doi:10.1039/D3NJ04122K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.18462/iir.icr.2023.0371
title: Refrigerated transportation and cold-chain logistics in India – current status and future prospects.
DOI: 10.6084/m9.figshare.24078759
title: <b>urine metal levels in </b><b>substance </b><b>abusers</b>

description: Increasing illicit drug use is one of the main problems in most countries or societies. The monitoring of heavy metals and trace elements in this vulnerable group seems to be necessary. So, we assessed the urinary trace element and toxic metals/metalloids concentrations (Zinc (Zn), Iron (Fe), Cupper (Cu), Chromium (Cr), Lead (Pb), Cadmium (Cd), Arsenic (As), Nickel (Ni), and Mercury (Hg)) in opium, tramadol, and cannabis users compared to healthy subjects. In this cross-sectional study patients with substance use disorder (SUD) (n= 74) were divided into four groups: cannabis, tramadol, opium, and mixed (Simultaneous use of more than one of three studied substances), along with a healthy group (n= 60). Urine samples were prepared by dispersive liquid-liquid microextraction method so that heavy metals/metalloids can be measured by ICP-MS. The mean urinary concentration of Cu (48.15 vs. 25.45; 89.2%, p&lt; 0.001), Hg (1.3 vs. 0.10; 1200%, p&lt; 0.001), and Zn (301.95 vs. 210; 43.8%, p &lt; 0.001) were markedly lower among patients with SUD. The mean urinary concentration of other elements including As (1.9 vs. 4.1; 115.8%), Cd (0.1 vs. 1.10; 1000%), Cr (6.80 vs. 11.65; 71.3%), Ni (2.95 vs. 4.95; 67.8%), and Pb (1.5 vs. 7.9; 426.6%) were significantly higher among patients with SUD compared to healthy subjects. when sub-groups were compared, no significant differences were observed between their trace element levels (Kruskal-Wallis test, P &gt; 0.05). This can be an indication that regardless of the type of drug, the levels of trace elements are changed with respect to the healthy individuals. Our results showed that the illicit drug use causes changes in urinary trace element/ heavy metal/metalloid levels and they highlight the need for monitoring of heavy metals and trace elements in individuals with substance use disorder. Assessment of different elements in biological samples of drug dependents may be useful for implementing the new prevention and treatment protocols. In the case of changes in their levels, complementary recommendations, attention to diet, and periodic assessment of toxic metal levels within treatment programs will be needed.
DOI: 10.6084/m9.figshare.24078759.v1
title: <b>urine metal levels in </b><b>substance </b><b>abusers</b>

description: Increasing illicit drug use is one of the main problems in most countries or societies. The monitoring of heavy metals and trace elements in this vulnerable group seems to be necessary. So, we assessed the urinary trace element and toxic metals/metalloids concentrations (Zinc (Zn), Iron (Fe), Cupper (Cu), Chromium (Cr), Lead (Pb), Cadmium (Cd), Arsenic (As), Nickel (Ni), and Mercury (Hg)) in opium, tramadol, and cannabis users compared to healthy subjects. In this cross-sectional study patients with substance use disorder (SUD) (n= 74) were divided into four groups: cannabis, tramadol, opium, and mixed (Simultaneous use of more than one of three studied substances), along with a healthy group (n= 60). Urine samples were prepared by dispersive liquid-liquid microextraction method so that heavy metals/metalloids can be measured by ICP-MS. The mean urinary concentration of Cu (48.15 vs. 25.45; 89.2%, p&lt; 0.001), Hg (1.3 vs. 0.10; 1200%, p&lt; 0.001), and Zn (301.95 vs. 210; 43.8%, p &lt; 0.001) were markedly lower among patients with SUD. The mean urinary concentration of other elements including As (1.9 vs. 4.1; 115.8%), Cd (0.1 vs. 1.10; 1000%), Cr (6.80 vs. 11.65; 71.3%), Ni (2.95 vs. 4.95; 67.8%), and Pb (1.5 vs. 7.9; 426.6%) were significantly higher among patients with SUD compared to healthy subjects. when sub-groups were compared, no significant differences were observed between their trace element levels (Kruskal-Wallis test, P &gt; 0.05). This can be an indication that regardless of the type of drug, the levels of trace elements are changed with respect to the healthy individuals. Our results showed that the illicit drug use causes changes in urinary trace element/ heavy metal/metalloid levels and they highlight the need for monitoring of heavy metals and trace elements in individuals with substance use disorder. Assessment of different elements in biological samples of drug dependents may be useful for implementing the new prevention and treatment protocols. In the case of changes in their levels, complementary recommendations, attention to diet, and periodic assessment of toxic metal levels within treatment programs will be needed.
DOI: 10.18462/iir.icr.2023.0378
title: Preparation of eutectic plates for temperature-controlled boxes.
DOI: 10.18739/a2q52fd8s
title: Sea ice drift tracks from the Distributed Network of autonomous buoys deployed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition 2019 - 2021

description: The largest ever network of autonomous ice-tethered buoys was deployed as a Distributed Network (DN) surrounding the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory (CO). This extensive network of 112 Global Positioning System (GPS) buoys and 12 multi-instrumented ice stations captured the annual cycle of Arctic sea ice drift and deformation for the first time as the DN traversed the Transpolar Drift Stream. GPS position data from buoys deployed during the year-long MOSAiC experiment capture sea ice drift and deformation at spatial scales ranging from 100s of meters to 200 kilometers (km) from late September 2019 into 2021. This dataset contains 216 quality-controlled drift tracks from buoys deployed at sites within a 45 km radius of the MOSAiC CO. Initial deployments began 26 September 2019 (Leg 1) with new deployments of buoys in mid-March-April 2020 (Leg 3), and August-September 2020 (leg 5).
DOI: 10.15784/601673
title: AGASEA 4.7 ka Englacial Isochron over the Thwaites Glacier Catchment

description: This file contains internal radar horizon 1 (lm-MERGE-lay9-grg) for West Antarctica, collected during the SOAR/CASERTZ (1991-1996), SOAR/DVD (1999), ATRS (2001), AGASEA (2004-05) and GIMBLE (2013-2014) expeditions. Only data collected in AGASEA is contained in this specific product. This data set is linked to PH.D thesis Muldoon, G. 2018 "West Antarctic Ice Sheet Retreat during the Last Interglacial"Spatial and temporal distributions of accumulation rates on the catchment of Thwaites Glacier, West Antarctica", University of Texas at Austin https://doi.org/10.15781/T23B5WS0D The internal radar horizon (IRH) was traced semi-automatically by Gail R. Muldoon using Haliburtons's Landmark software and picker, in a combination of 2D focused and unfocused data. Depths were calculated using a 2 way velocity in ice of 84.5 m/microsecond, and no firn correction. Isochron age is 4711 (+/- 246 ) years. Funding for this dataset as provided by NSF grants and The G. Unger Vetlesen Foundation.
DOI: 10.5067/suborbital/oracles/er2/2016_v3
title: Aerosol, cloud and related data acquired aboard ER2 during ORACLES 2016, version 3
DOI: 10.5067/suborbital/oracles/p3/2016_v3
title: Aerosol, cloud and related data acquired aboard P3 during ORACLES 2016, version 3
DOI: 10.5067/suborbital/oracles/p3/2017_v3
title: Aerosol, cloud and related data acquired aboard P3 during ORACLES 2017, version 3
DOI: 10.5281/zenodo.4945301
title: Radiostratigraphy of the Weddell Sea Sector of West Antarctica

description: <strong>## Updated 14th June 2021 to correct a rounding error in the positions of "Hx_Raw.csv" files, suffixed with "_v2" ##</strong> <strong>## Please make sure you're using the latest "v2" version of the dataset ##</strong> ## David W. Ashmore ##<br> ## david.w.ashmore@outlook.com. ##<br> ## d.ashmore@liverpool.ac.uk ## If you use these data, please cite the associated paper: Ashmore et al. (2020) Englacial architecture and age-depth constraints across the West Antarctic Ice Sheet. Geophysical Research Letters, 47, e2019GL086663, doi:10.1029/2019GL086663 This directory contains the location and depth of internal reflection horizons (H1, H2 and H3) derived from the "IMAFI" airborne ice-penetrating radar survey of Institute and Möller Ice Stream, West Antarctica, conducted in 2010/11. (1) Positions are given in Polar Stereographic South (EPSG: 3031) "X" and "Y" coordinates. Standard parallel -71 deg, 0 deg origin, WGS84 ellipsoid.<br> (2) "Depth" is given as metres below the ice surface reflection pick using wave velocity of 168.5 metres/microsecond and a +10 firn correction.<br> (3) "FractionalDepth" is the pick depth divded by the ice thickness.<br> (4) "Pick" is the pixel number below the ice surface of the radargram of that picked horizon.<br> (5) "DistToBed" is distance in metres from the deepest horizon (H3) to the ice bed.<br> (b) "Flight" column is the reference for individual flight during the IMAFI PASIN survey the IRHs were picked from. Two sets of information are provided.<br> &gt; "Hx_Results.csv" are depths derived from the Schumberger Petrel (R) software and the IMAFI flights.<br> &gt; "Hx_500m.csv" are depths resampled to 500 m spaced points, with fractional depth, and are the data included in Figure 2 of Ashmore et al. (2020).
DOI: 10.18462/iir.icr.2023.0519
title: Modeling and calibration of a multi-temperature cargo for trailer.
DOI: 10.17632/dnsrsmkzkg.1
title: Data from: Species boundaries to the limit: validating species delimitation methods is critical to avoid taxonomic inflation in the genomic era

description: This is a data repository containing the following files: 
Raw demultiplexed reads for all specimens used in the study: Species boundaries to the limit: validating species delimitation methods is critical to avoid taxonomic inflation in the genomic era
DOI: 10.48670/moi-00009
title: Baltic Sea Biogeochemistry Analysis and Forecast
DOI: 10.5255/ukda-sn-855142
title: Sarafu Community Inclusion Currency, 2020-2021

description: We describe a dataset of account information and transaction records for a digital community currency in Kenya. One unit of “Sarafu” is roughly equivalent in value to a Kenyan shilling. The Sarafu system has existed since 2010 and began operating digitally via USSD feature-code cellular technology in 2017. This dataset includes pseudonymized account information for around 55,000 users and records of all Sarafu transactions conducted from 25/01/2020 to 15/06/2021. User transactions capture various economic and financial activities such as purchases, transfers, and participation in savings and lending groups. So-called "chamas" are key to the operation of the Sarafu system and clearly labeled in the data. This dataset will contribute to research on the operation of community currencies, monetary systems, and economic networks in underdeveloped areas. The observation period includes the first year of the coronavirus pandemic and several documented pilot projects and development interventions.
DOI: 10.5281/zenodo.8245749
title: Raw data: Potential of different common (Fagopyrum esculentum Moench) and Tartary (Fagopyrum tataricum (L.) Gaertn.) buckwheat accessions to sustainably manage surrounding weeds

description: Twenty-nine accessions of two buckwheat species (Fagopyrum esculentum Moench (common buckwheat) and Fagopyrum tataricum (L.) Gaertn. (Tartary buckwheat) were evaluated for their allelopathic potential against two resistant weeds, i.e. the monocot Lolium rigidum Gaud. and the dicot Portulaca oleracea L. The bulking use of synthetic herbicides and their consequent contamination of the environment and resulting increment of resistant weeds, imminently requires a solution to achieve sustainable weed management without the use of chemical inputs. The results obtained in this study suggest that buckwheat accessions can sustainably manage weeds through plant interference as competition or allelopathy. This research showed that accessions differ in their potential for sustainably manage both weeds, with F. esculentum accessions being more effective against L. rigidum and F. tataricum accessions against both, monocot and dicot weeds. The chemical profile of buckwheat accessions was evaluated to know the content of polyphenols in common and Tartary buckwheat accessions and to know more about their ability to sustainably manage weeds. Differences in the chemical profile between the two buckwheat species were clear. While common buckwheat accessions showed more orientin, vitexin and hyperoside, Tartary buckwheat accessions had higher amounts of rutin, quercetin and kaempferol. We propose that the screening and selection of accessions with strong polyphenol content and vigorous growth can be a step towards organic farming due to its relation to the weed management.
DOI: 10.5281/zenodo.8245750
title: Raw data: Potential of different common (Fagopyrum esculentum Moench) and Tartary (Fagopyrum tataricum (L.) Gaertn.) buckwheat accessions to sustainably manage surrounding weeds

description: Twenty-nine accessions of two buckwheat species (Fagopyrum esculentum Moench (common buckwheat) and Fagopyrum tataricum (L.) Gaertn. (Tartary buckwheat) were evaluated for their allelopathic potential against two resistant weeds, i.e. the monocot Lolium rigidum Gaud. and the dicot Portulaca oleracea L. The bulking use of synthetic herbicides and their consequent contamination of the environment and resulting increment of resistant weeds, imminently requires a solution to achieve sustainable weed management without the use of chemical inputs. The results obtained in this study suggest that buckwheat accessions can sustainably manage weeds through plant interference as competition or allelopathy. This research showed that accessions differ in their potential for sustainably manage both weeds, with F. esculentum accessions being more effective against L. rigidum and F. tataricum accessions against both, monocot and dicot weeds. The chemical profile of buckwheat accessions was evaluated to know the content of polyphenols in common and Tartary buckwheat accessions and to know more about their ability to sustainably manage weeds. Differences in the chemical profile between the two buckwheat species were clear. While common buckwheat accessions showed more orientin, vitexin and hyperoside, Tartary buckwheat accessions had higher amounts of rutin, quercetin and kaempferol. We propose that the screening and selection of accessions with strong polyphenol content and vigorous growth can be a step towards organic farming due to its relation to the weed management.
DOI: 10.13145/bacdive83.20171208.2.1
title: Komagataeibacter europaeus (Sievers et al. 1992) Yamada et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15151/esrf-es-771426690
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: Our BAG is composed of eight PIs at six different institutions in Italy and Austria. We focus on a large variety of human, bacterial, viral and synthetic protein targets and address diverse biological contexts by combining structural biology with biochemistry, biophysics, cellular and in vivo investigations.
DOI: 10.18462/iir.pcm.2018.0015
title: Impact of building-integrated PCM on the indoor thermal environment and energy performance of an office zone.

description: This paper investigates different design options for the integration of active Phase Change Material (PCM) in an office zone. The charging and discharging of the PCM, arranged in layers, is managed by a controlled airflow passing through these layers. Two configurations are considered: (a) PCM in a wall in which a PCM layer is in contact with the room air and; (b) PCM within a duct heat exchanger in a ceiling plenum. Several control strategies are also evaluated. In comparison with a room without PCM, it was found that the annual heating energy use can be reduced by 29% for the first configuration, and 33% for the second. An enhanced control strategy may yield a 38% reduction with the Configuration B. Furthermore, the morning peak load could be reduced by 22% by improving the charging/discharging strategy of the PCM in the ceiling plenum.
DOI: 10.25919/5e4a0e4e93d4c
title: Norfolk Island lidar

description: Lidar point data, images, digital elevation models and related data collected for the Norfolk Island Water Resource Assessment project.
DOI: 10.3886/e108503v1
title: Optical Coherence Tomography Image Retinal Database

description: An open source Optical Coherence Tomography Image Database containing different retinal OCT images with different pathological conditions. Please use the following citation if you use the database: Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, Vasudevan Lakshminarayanan, "OCTID: Optical Coherence Tomography Image Database", arXiv preprint arXiv:1812.07056, (2018). For more information and details about the database see: https://arxiv.org/abs/1812.07056
DOI: 10.5066/p9d6ju4x
title: Community metrics from inter-agency compilation of inland fish sampling data within the Chesapeake Bay Watershed

description: This data release contains calculated metrics which summarize various biodiversity and functional/life history trait information about fish communities sampled across the Chesapeake Bay Watershed as well as ancillary data related to time/place of sampling and sampling methodology. The fish sampling data used to compute these metrics were compiled from various fish sampling programs conducted by state and federal agencies, county governments, universities, and river basin commissions across the watershed. Prior to computation of community metrics data from individual fish sampling programs were investigated for completeness and data entry errors. Subsequently, desired fields were extracted from each individual dataset and manipulated into a common form and compiled, including standardization of species names and conversion of coordinates, to similar datum. Following compilation of the disparate datasets, fish species were linked to species-specific trait information including native status, tolerance, habitat preferences, and life history using a combination of the US EPA National Rivers and Streams Assessment (NRSA; USEPA, 2020), the FishTraits database (Frimpong and Angermeier, 2008), and the USGS Nonindigenous Aquatic Species database (NAS; USGS, 2020). Using trait designations from these sources a number of different summary metrics were calculated including those used by the EPA NRSA program and the National Fish Habitat Partnership (NFHP) 2015 Fish Habitat Assessment (Crawford et al., 2016).
DOI: 10.5066/p9ix5grj
title: Chesapeake Bay Watershed historical and future projected land use and climate data summarized for NHDPlusV2 catchments

description: This dataset consists of historical estimates and future projections of land use and climate data summarized within the 1:100,000 National Hydrography Dataset Version 2 (NHDPlusV2) framework for catchments and upstream accumulated watersheds. Historical land use data are for the year 2005 and future land use projections are for the years 2030, 2060, and 2090. The projections offer a unique combination of thematic detail (17 land-use and land-cover classes). Historical climate estimates are averaged over the time period 1980-1999 and future climate projections are averaged over 20-year periods centered around the years 2030, 2060, and 2090. Climate data include seasonal measures of average air temperature (?) and total precipitation (mm). The data set also includes bioregions as defined within the Chesapeake basin-wide index of biotic integrity for stream macroinvertebrates (Chessie BIBI). The COMID field (analogous to FEATUREID) can be used to link these data to the NHDPlus data suite. These data were used to develop models forecasting future stream conditions within the Chesapeake Bay Watershed under an array of potential future land use and climate scenarios. Results from this work can be used by researchers and managers to identify areas most suitable for conservation, mitigation, or restoration efforts while considering the non-static nature of the environment.
DOI: 10.6073/pasta/74775c4af51c237f2a20e4a8c011bc53
title: Abundance and biovolume of taxonomically-resolved phytoplankton and microzooplankton imaged continuously underway with an Imaging FlowCytobot along the NES-LTER Transect in winter 2018

description: These data represent the abundance and biovolume of taxonomically-resolved phytoplankton and microzooplankton imaged continuously underway along the NES-LTER Transect during cruise EN608 in winter 2018. Images were obtained with an Imaging FlowCytobot (IFCB) sampling at approximately 20-min intervals from seawater supplied from 5 meters water depth. Data are provided for the subset of images during the cruise that were on the north-south transect along longitude 70 53’ W. Sizes for individuals were determined automatically by image processing, while identifications to morphological categories were done manually. Data are provided by taxon with names and machine-readable identifiers matched to the lowest taxonomic level to the World Register of Marine Species. Two data tables are provided: the level 1b for each occurrence and the level 2 that summarizes the occurrences by taxon per sample. Individual and sample identifiers are linked to images served by an external repository. This data package provides 144,281 machine-readable occurrences for incorporation into the Ocean Biogeographic Information System and the Global Ocean Observing System Essential Ocean Variables Phytoplankton biomass and diversity and the microplankton size class of Zooplankton biomass and diversity.
DOI: 10.6084/m9.figshare.13567526
title: Metadata record for: The 10-m crop type maps in Northeast China during 2017-2019

description: This dataset contains key characteristics about the data described in the Data Descriptor The 10-m crop type maps in Northeast China during 2017-2019. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.21505203.v2
title: Year effects drive beta diversity

description: Dataset of PRYER experiment established by Truman Young to measure priority effects across years. Communities consist of mixes of 4 native grasses, 4 exotic grasses, or both, either planted concurrently or with a two-week priority window. Also contains code used for beta diversity analyses and figures.