cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7762164
title: Deidentified Frozen Seafood Dataset

description: <strong>About Dataset</strong> This dataset contains de-identified data on testing for infection in consignments of frozen seafood where importation into Australia was attempted. The data is from an approximately four-year period between 2015 and 2022. Each row represents a batch, where a batch is either a consignment, or a subdivision of a consignment. A sample of 13 bags was selected from each consignment. Each bag contains on average 40 items. A pool of 5 items was selected from each bag. Pools were then tested for the presence of infection. The result is a number of positive tests out of 13 pools tested. Deidentification steps included: Tonnage was rounded to the nearest whole number and truncated above at 20. One year with relatively few observations was grouped with an adjacent year. Country of export, country of harvest, consignment and year were all randomly scrambled to arbitrary code numbers. The year numbers are not in chronological order. Countries of harvest or export with less than 20 batches have been removed. Consignments with more than two batches have been removed. <strong>Variable Definitions</strong> Variable Name Values Description batch.scrambled 1, …, 2850 Randomised batch identifier number. The data set contains one row per batch. consignment.scrambled 1, …, 2680 Randomised consignment identifier number. Consignments contain either one or two batches. (Consignments with more batches have been excluded from this dataset.) country.export.scrambled 1, …, 5 Randomised country of export identifier number. (Countries with relatively few batches have been excluded.) country.harvest.scrambled 1, …, 8 Randomised country of export identifier number. (Countries with relatively few batches have been excluded.) tonnage 0, …, 20 Weight of batch cargo in tonnes (rounded to the nearest whole tonne and truncated at 20). year.scrambled 1, 2, 3, 4 Randomised year of importation (note: not in temporal order) numPos 0, …, 10 Number of positive pooled tests (out of 13) <strong>Author Field</strong> I am the uploader of this de-identified dataset, which is published with the permission of the data owner.
DOI: 10.5281/zenodo.7762163
title: Deidentified Frozen Seafood Dataset

description: <strong>About Dataset</strong> This dataset contains de-identified data on testing for infection in consignments of frozen seafood where importation into Australia was attempted. The data is from an approximately four-year period between 2015 and 2022. Each row represents a batch, where a batch is either a consignment, or a subdivision of a consignment. A sample of 13 bags was selected from each consignment. Each bag contains on average 40 items. A pool of 5 items was selected from each bag. Pools were then tested for the presence of infection. The result is a number of positive tests out of 13 pools tested. Deidentification steps included: Tonnage was rounded to the nearest whole number and truncated above at 20. One year with relatively few observations was grouped with an adjacent year. Country of export, country of harvest, consignment and year were all randomly scrambled to arbitrary code numbers. The year numbers are not in chronological order. Countries of harvest or export with less than 20 batches have been removed. Consignments with more than two batches have been removed. <strong>Variable Definitions</strong> Variable Name Values Description batch.scrambled 1, …, 2850 Randomised batch identifier number. The data set contains one row per batch. consignment.scrambled 1, …, 2680 Randomised consignment identifier number. Consignments contain either one or two batches. (Consignments with more batches have been excluded from this dataset.) country.export.scrambled 1, …, 5 Randomised country of export identifier number. (Countries with relatively few batches have been excluded.) country.harvest.scrambled 1, …, 8 Randomised country of export identifier number. (Countries with relatively few batches have been excluded.) tonnage 0, …, 20 Weight of batch cargo in tonnes (rounded to the nearest whole tonne and truncated at 20). year.scrambled 1, 2, 3, 4 Randomised year of importation (note: not in temporal order) numPos 0, …, 10 Number of positive pooled tests (out of 13) <strong>Author Field</strong> I am the uploader of this de-identified dataset, which is published with the permission of the data owner.
DOI: 10.6084/m9.figshare.22323103
title: 50 v 130 Hz EMG Data

description: EMG data for experiments comparing 50 Hz vs. 130 Hz Pf DBS on tic frequency/min.
DOI: 10.6084/m9.figshare.22323112
title: Mecamylamine Exps EMG Data

description: EMG data for experiments where mecamylamine was administered to understand how it effects Pf DBS reduction of tic frequency.
DOI: 10.6084/m9.figshare.22323112.v1
title: Mecamylamine Exps EMG Data

description: EMG data for experiments where mecamylamine was administered to understand how it effects Pf DBS reduction of tic frequency.
DOI: 10.6084/m9.figshare.22323118
title: EMG Data for Exps with SCH23,390

description: EMG data for experiments exploring D1 receptor antagonism (SCH23,390) and the effect of Pf DBS evoked dopamien release on tic frequency.
DOI: 10.5281/zenodo.5205256
title: Hefei FTIR datasets

description: Ground-based high resolution FTIR observations of pollution/greenhouse gases at the Hefei station
DOI: 10.5281/zenodo.5205257
title: Hefei FTIR datasets

description: Ground-based high resolution FTIR observations of pollution/greenhouse gases at the Hefei station
DOI: 10.6084/m9.figshare.21407319.v5
title: A Prolonged Wait: The Impact of COVID-19 on Elective surgeries in India

description: This is the database of sudy conducted to analyse the impact of COVID 19 on elective surgeries.
DOI: 10.6084/m9.figshare.22323121
title: EMG Data for Exps with Sulpiride

description: EMG data for experiments understanding the effect of D2 receptor antagonism (Sulpiride) on Pf DBS evoked dopamine release on tic frequency.
DOI: 10.6084/m9.figshare.22323121.v1
title: EMG Data for Exps with Sulpiride

description: EMG data for experiments understanding the effect of D2 receptor antagonism (Sulpiride) on Pf DBS evoked dopamine release on tic frequency.
DOI: 10.6084/m9.figshare.21407319.v6
title: A Prolonged Wait: The Impact of COVID-19 on Elective surgeries in India

description: This is the database of sudy conducted to analyse the impact of COVID 19 on elective surgeries.
DOI: 10.6084/m9.figshare.21407319.v7
title: A Prolonged Wait: The Impact of COVID-19 on Elective surgeries in India

description: This is the database of sudy conducted to analyse the impact of COVID 19 on elective surgeries.
DOI: 10.6084/m9.figshare.21407319.v8
title: A Prolonged Wait: The Impact of COVID-19 on Elective surgeries in India

description: This is the database of sudy conducted to analyse the impact of COVID 19 on elective surgeries.
DOI: 10.6084/m9.figshare.21407319.v9
title: A Prolonged Wait: The Impact of COVID-19 on Elective surgeries in India

description: This is the database of sudy conducted to analyse the impact of COVID 19 on elective surgeries.
DOI: 10.25345/c5fx7477p
title: MassIVE MSV000091532 - Engineering a new-to-nature cascade for phosphate-dependent formate to formaldehyde conversion in vitro and in vivo
title: To realize a carbon-neutral bioeconomy, the concept of electrobiocatalysis has been developed, in which CO2 is first chemically reduced to formate and subsequently assimilated by enzymatic cascades or engineered microbes. A key step in the assimilation of formate is its reduction into formaldehyde, which is chemically challenging. Here, we developed a two-enzyme route in which formate is activated into formyl phosphate and reduced by NAD(P)H into formaldehyde. Exploiting the promiscuity of acetate kinase and N-acetyl--glutamyl phosphate reductase, we demonstrate the phosphate (Pi) route in vitro and in vivo. We further engineered a formyl phosphate reductase variant with improved formyl phosphate conversion in vivo by suppressing cross-talk with native metabolism. We further show that the Pi route can be interfaced with a recently developed formaldehyde assimilation pathway (FORCE pathway) to provide a thermodynamically and kinetically highly efficient route from formate into C2-compounds.
DOI: 10.6084/m9.figshare.22321012
title: Twitter Response to Mass Surveillance

description: Tweets that respond to mass surveillance in the big-tech era, scraped by TAGs from 01/17/2023 to 01/24/2023 and 02/01/2023 to 02/08/2023, generating a total of 14,405 tweets. A few hashtags used are #surveillance, #NSA, #spying, #FacialRecognition, #Authoritarian, #ChineseBalloon, #privacy.
DOI: 10.6084/m9.figshare.22321012.v1
title: Twitter Response to Mass Surveillance

description: Tweets that respond to mass surveillance in the big-tech era, scraped by TAGs from 01/17/2023 to 01/24/2023 and 02/01/2023 to 02/08/2023, generating a total of 14,405 tweets. A few hashtags used are #surveillance, #NSA, #spying, #FacialRecognition, #Authoritarian, #ChineseBalloon, #privacy.
DOI: 10.6084/m9.figshare.22186879.v4
title: People Living with HIV Who Has Becomes an Influencer on Social

description: Contents of the interview transcripts PLHIV on social media
DOI: 10.26192/dmek-v625
title: Australian Drought Monitor

description: Drought is one of the most severe natural disasters Australia faces, inflicting serious impacts on the agricultural industry. An Australia-wide drought monitor is being developed to provide detailed and timely data regarding drought conditions that will aid producers and policy makers alike. The Drought Monitor development is an integral part of the Northern Australia Climate Program (NACP), a major partnership between Meat & Livestock Australia, the Queensland Government and the University of Southern Queensland.
DOI: 10.17909/sbx7-vg73
title: TOI-1899 through Cycle 4

description: TOI-1899 (TIC 172370679) at 2-min cadence for Sectors 14, 15, 41, 54, and 55.
DOI: 10.5281/zenodo.7755487
title: MUSES Leaf Area Index (LAI) 8-Day Global 250m SIN Grid in 2015

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 250m spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2022; Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). This dataset is the MUSES LAI product in 2015. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em> and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2016</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2015 Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.1 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product from Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7755486
title: MUSES Leaf Area Index (LAI) 8-Day Global 250m SIN Grid in 2015

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 250m spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2022; Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). This dataset is the MUSES LAI product in 2015. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2014</strong></em> and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2016</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2015 Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.1 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product from Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.6084/m9.figshare.22323223
title: Result of numerical tests by TT-FFHE and TT-ode45 .

description: Result of numerical tests.
DOI: 10.6084/m9.figshare.22323223.v2
title: Result of numerical tests by TT-FFHE and TT-ode45 .

description: Result of numerical tests.
DOI: 10.6084/m9.figshare.22323223.v1
title: A New Efficient Method for Computing High-Quality OPF Solutions Based on TRUST-TECH and FFHE

description: Result of numerical tests.
DOI: 10.21335/nmdc-463856275
title: NORWECOM.E2E Nordic Seas Calanus hyperboreus individul based model

description: An individual-based model (IBM) based on existing knowledge of growth and life history of Calanus hyperboreus is implemented and coupled to the an ecosystem model system encompassing physics, a nutrients–phytoplankton–zooplankton–detritus (NPZD) model and an IBM of the Atlantic congener C.finmarchicus. The model is used to study the development and spatial distribution of C.hyperboreus and the dynamics between zooplankton and their environment.
DOI: 10.5281/zenodo.7711991
title: Output data: China's energy-water-land system co-evolution under carbon neutrality goal and climate impacts

description: Outputs for Wang, J., Duan, Y., Wang, C., 2023. China’s energy-water-land system co-evolution under carbon neutrality goal and climate impacts. (In progress) Folder demeter contains the spatially downscaled land use/land cover datasets.<br> Folder tethys contains the spatially downscaled water withdrawal datasets. The sub-folder names correspond to the scenarios described in the paper. For landcover datasets, land type ratios in each grid are presented. Land types include water, forest, shrub, grass, urban, snow, sparse and crops. For water withdrawal datasets, “wd” = “water withdrawal spatially downscaled”, “twd” = “water withdrawal spatially and temporally downscaled”, “dom”=”domestic/municipal sector”, “elec”=”electricity sector”, ”irr”=”irrigation sector”, “liv”=”livestock sector”, “mfg”=”manufacturing/industry sector”, “min”=”mining/primary energy sector”, “nonag”=”non-agricultural sector”, “total”=”all sectors”.<br>
DOI: 10.5281/zenodo.7711990
title: Output data: China's energy-water-land system co-evolution under carbon neutrality goal and climate impacts

description: Outputs for Wang, J., Duan, Y., Wang, C., 2023. China’s energy-water-land system co-evolution under carbon neutrality goal and climate impacts. (In progress) Folder demeter contains the spatially downscaled land use/land cover datasets.<br> Folder tethys contains the spatially downscaled water withdrawal datasets. The sub-folder names correspond to the scenarios described in the paper. For landcover datasets, land type ratios in each grid are presented. Land types include water, forest, shrub, grass, urban, snow, sparse and crops. For water withdrawal datasets, “wd” = “water withdrawal spatially downscaled”, “twd” = “water withdrawal spatially and temporally downscaled”, “dom”=”domestic/municipal sector”, “elec”=”electricity sector”, ”irr”=”irrigation sector”, “liv”=”livestock sector”, “mfg”=”manufacturing/industry sector”, “min”=”mining/primary energy sector”, “nonag”=”non-agricultural sector”, “total”=”all sectors”.<br>
DOI: 10.34816/efa.archives.409829
title: Philippes-L1113-033A-REGION Y X X'

description: Référence : L1113-033A<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.23728/b2share.0661a160ce804be696577b77cc8063fd
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: humidity in 2017 (14h UTC) (interpolated PNG)

description: PNG image representing interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of humidity during 2017, aggregated by hour (14h UTC).
DOI: 10.34816/efa.archives.409828
title: Philippes-L1113-032A-REGION NORD-OUEST PIECE Y Z X X'

description: Référence : L1113-032A<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.17026/dans-2bv-wagv
title: Getuigen Verhalen, Het Molukse perspectief in oorlogstijd, interview 22

description: Geïnterviewde 22 is in 1925 in Surabaya geboren. Zijn vader was 'Europees' sergeant KNIL. Hij groeide op in Soerabaya.Hij herinnert zich dat tijdens de Tweede Wereldoorlog veel Javanen zijn gestorven vanwege de honger. Zij lagen dood op straat. Er worden ook vrouwen verkracht door Japanse militairen. Tijdens de Japanse aanval op Tanjung Perak is er veel brand. Geïnterviewde raakt tijdens een bluspoging van een brandende loods betrokken bij een ongeluk met een omgekieperde wagen. Hierbij verliest hij een deel van zijn arm.Tijdens de oorlog is geïnterviewde lid van de verzetsgroep Nederland Zal Herrijzen (NZH). Hij houdt zich bezig met koeriersdeinsten van en naar kampen. Hij wordt verraden en gevangen genomen door de Kenpeitai. Hij belandt in de cel, die hij deelt met zeven of acht Ambonese medestanders en een Nederlandse pastoor. Hij ondergaat gewelddadige verhoren en wordt regelmatig geslagen. De gevangenen krijgen slechts een klein beetje mais te eten en een emmer water voor de hele cel. Een vriend van hem wordt doodgemarteld. Er zijn totaal ongeveer zestig gevangenen in de kazerne van de Kenpeitai Surabaya waar geïnterviewde bijna drie jaar vastzit.Tegen het einde van de oorlog zou geïnterviewde met zijn celgenoten de volgende dag worden onthoofd. Als hij voetstappen hoort naderen, vreest hij dat hij zal worden geëxecuteerd. Het is echter een Engelse of Amerikaanse soldaat die hen verteld dat zij vrij zijn. Japan heeft gecapituleerd. Samen met zijn celgenoten wil hij wraak nemen op de Japanse soldaten, maar zij worden weerhouden door de pastoor. De Engelse of Amerikaanse soldaat vermoordt een paar Japanners.Na de Japanse capitulatie raakt geïnterviewde betrokken bij een gevecht tegen de Engelsen in Surabaya. Hij gaat later werken bij het Comptabiliteitskantoor in Surabaya.Rond 1960 vertrekt geïnterviewde naar Ambon. De RMS guerilla is dan nog actief. Hij krijgt werk op een districtskantoor op het eiland Seram. Hier wordt hij beschuldigd van steun aan de RMS en gevangen genomen. In 1995 keert hij uiteindelijk terug naar Kudamati, Ambon-stad.Geïnterviewde heeft de burgeroorlog in de Molukken (1999-2002) meegemaakt in Kudamati, Ambon-stad. Volgens hem begon het conflict gevaarlijk te worden vanaf het moment dat de Laskar Jihad naar de Molukken kwam.
DOI: 10.23728/b2share.ffd04c7a9b684aba9b0c610f611d183e
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: humidity in 2017 (14h UTC) (clipped PNG)

description: PNG image representing clipped interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of humidity during 2017, aggregated by hour (14h UTC).
DOI: 10.34816/efa.archives.409827
title: Philippes-L1110-022A-PRAEFURNIUM B BLOC DE MARBRE DANS LE MUR NORD

description: Référence : L1110-022A<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.409826
title: Philippes-L1110-021A-PORTIQUE DE LA PISCINE STYLOBATE IMPLANTATION DE LA TROISIEME BASE DE COLONNE

description: Référence : L1110-021A<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.23728/b2share.c8af06447a08480cab82ef8d04ed4f63
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: CO in 2017 (14h UTC) (shapefile)

description: Shapefile including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of carbon monoxide during 2017, aggregated by hour (14h UTC).
DOI: 10.34816/efa.archives.409825
title: Philippes-L1110-020A-PORTIQUE DE LA PISCINE STYLOBATE IMPLANTATION DE LA PREMIERE BASE DE COLONNE

description: Référence : L1110-020A<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.409824
title: Philippes-L1112-031-PORTIQUE DE LA PISCINE COLONNE

description: Référence : L1112-031<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.17026/dans-2by-de3a
title: Wegbereiders, Roma en Sinti in Nederland en Tsjechië over het profijt van onderwijs, 1950-2020 Interview 61

description: Telefonisch interview (geen geluidsopname) met een biologisch-geneticus, die deel uitmaakte van onderzoek naar het DNA-genoom van Roma en Sinti in Europa
DOI: 10.23728/b2share.afe785bc855a48a58dadad7d781d69e8
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: NO in 2017 (14h UTC) (shapefile)

description: Shapefile including air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of nitrogen monoxide during 2017, aggregated by hour (14h UTC).
DOI: 10.34816/efa.archives.409823
title: Philippes-L1112-029-PORTIQUE DE LA PISCINE COLONNE

description: Référence : L1112-029<br />Publication(s) : Inédit<br />Domaine : Architecture<br />
DOI: 10.34816/efa.archives.409822
title: Philippes-L1112-017-PORTIQUE DE LA PISCINE CHAPITEAU CORINTHIEN NO 3

description: Référence : L1112-017<br />Publication(s) : Inédit<br />Domaine : Architecture<br />