cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3886331
title: Five years of pharmaceutical industry funding of patient organisations in Sweden: cross-sectional study of companies, patient organisations and drugs

description: <strong>Abstract</strong> <strong>Background:</strong> Many patient organisations collaborate with drug companies, resulting in concerns about commercial agendas influencing patient advocacy. We contribute to an international body of knowledge on patient organisation-industry relations by considering payments reported in the industry’s centralised ‘collaboration database’ in Sweden. We also investigate possible commercial motives behind the funding by assessing its association with drug commercialisation. <strong>Methods:</strong> Our primary data source were 1,337 payment reports from 2014-2018. After extraction and coding, we analysed the data descriptively, calculating the number, value and distribution of payments for various units of analysis, e.g. individual companies, diseases and payment goals. The association between drug commercialisation and patient organisation funding was assessed by, first, the concordance between leading companies marketing drugs in specific diseases and their funding of corresponding patient organisations and, second, the correlation between new drugs in broader condition areas and payments to corresponding patient organisations. <strong>Results: </strong>46 companies reported paying €6,449.224 (median €2,411; IQR €1,024-4,569) to 77 patient organisations, but ten companies provided 67% of the funding. Small payments dominated, many of which covered costs of events organised by patient organisations. An association existed between drug commercialisation and industry funding. Companies supported patient organisations in diseases linked to their drug portfolios, with the top 3 condition areas in terms of funding – cancer endocrine, nutritional and metabolic disorders; and infectious and parasitic disorders – accounting for 63% of new drugs and 56% of the funding. <strong>Conclusion:</strong> This study reveals close and widespread ties between patient organisations and drug companies. Relatively few companies dominated the funding landscape by supporting patient organisations in disease areas linked to their drug portfolios. This commercially motivated funding may contribute to inequalities in resource and influence between patient organisations. The association between drug commercialisation and industry funding is also worrying because of the therapeutic uncertainty of many new drugs. Our analysis benefited from the existence of a centralised database of payments – which should be adopted by other countries too – but databases should be downloadable in an analysable format to permit efficient and independent analysis.
DOI: 10.21227/1187-yv12
title: Speech Dataset in Hindi Language

description: 100 Speakers each consisting of 5 voice samples for training data and 1 voice sample for testing data. Total of 600 voice samples collected in different audio formats like mpeg, mp4, mp3, ogg etc. These samples were than preprocessed and converted into .wav format. Each voice sample has a time duration of 5-10 seconds due to different lengths tuning of parameters should be done before usage. Whole Dataset size is 600mb and duration is 1 hour 40 minutes. This dataset can be used for speech synthesis, speaker identification. speaker recognition, speech recogniton etc. Preprocessing of data is required.
DOI: 10.21227/ttpk-yn94
title: Speech Dataset in Hindi Language

description: 100 Speakers each consisting of 5 voice samples for training data and 1 voice sample for testing data. Total of 600 voice samples collected in different audio formats like mpeg, mp4, mp3, ogg etc. These samples were than preprocessed and converted into .wav format. Each voice sample has a time duration of 5-10 seconds due to different lengths tuning of parameters should be done before usage. Whole Dataset size is 600mb and duration is 1 hour 40 minutes. This dataset can be used for speech synthesis, speaker identification. speaker recognition, speech recogniton etc. Preprocessing of data is required.
DOI: 10.34725/dvn/akrouq
title: Farmer inventory surveys in Uganda: Insects data

description: Insects data from Uganda
DOI: 10.5066/p9gozzyx
title: Potomac River ADCP Bathymetric Survey, October 2019

description: Water-penetrating LiDAR technology was used to remotely sense bathymetric elevation data as part of a spatial data acquisition on the Potomac River. In support of this effort, a bathymetric survey with a boat-mounted acoustic Doppler current profiler (ADCP) was conducted in the study area on October 21-24, 2019. Global Navigational Satellite Systems (GNSS) were used to concurrently collect survey grade real-time kinematic (RTK) horizontal and vertical coordinates of the ADCP transducer face. The riverbed elevations were collected using the ADCP with WinRiverII to export for post-processing in Microsoft Excel and ArcMap. The GNSS equipment was programmed to continuously collect an observation every second and the ADCP was programmed to continuously collect an observation ranging from every 1 second to 6 seconds. The corrected depths from the 4 ADCP beams were averaged and then subtracted from the GNSS derived elevation of the ADCP transducer face to compute an elevation of the riverbed.
DOI: 10.25386/genetics.11988192
title: Supplemental Material for Dedukh et al., 2020

description: Supplementary materials and methods, supplementary figures<br>
DOI: 10.25386/genetics.11988192.v1
title: Supplemental Material for Dedukh et al., 2020

description: Supplementary materials and methods, supplementary figures<br>
DOI: 10.14457/tu.the.2009.904
title: เปรียบเทียบแนวคิดและหลักเกณฑ์ในการรับฟังพยานหลักฐานตามกฎหมายตราสามดวงกับคดีอาญาไทยในปัจจุบัน
DOI: 10.14457/tu.the.2009.905
title: การจัดการปัญหาสิ่งแวดล้อมด้วยภาษีและการควบคุม : ศึกษากรณีสารเคมีป้องกันกำจัดศัตรูพืชและสัตว์
DOI: 10.14457/tu.the.2009.906
title: การยกเว้นภาษีโรงเรือนและที่ดินสำหรับหน่วยงานของรัฐ
DOI: 10.14457/tu.the.2009.907
title: การจัดการของกลางในคดีอาญาที่เป็นของสดของเสียได้
DOI: 10.5281/zenodo.3886963
title: data from "The chloroplast land plant phylogeny: analyses employing better-fitting tree- and site-heterogeneous composition models"

description: The nucleotide, codon-degenerate and protein concatenated alignments of 83 chloroplast genes, with the respective character sets, in nexus format.
DOI: 10.5281/zenodo.3886964
title: data from "The chloroplast land plant phylogeny: analyses employing better-fitting tree- and site-heterogeneous composition models"

description: The nucleotide, codon-degenerate and protein concatenated alignments of 83 chloroplast genes, with the respective character sets, in nexus format.
DOI: 10.14457/tu.the.2009.908
title: กฎหมายอนุรักษ์โบราณสถานในประเทศไทย
DOI: 10.7910/dvn/gdk2dx
title: WorldWide Telescope in Astrophysical Research

description: Presentation Date: Monday, May 2, 2016. Location: Cambridge, MA. Abstract: Palmer Smithsonian Presentation, overview of Goodman projects
DOI: 10.7910/dvn/gdk2dx/bijg2c
title: palmer16.pdf

description: Slides for Dr. Alyssa Goodman's presentation "WorldWide Telescope in Astrophysical Research"
DOI: 10.21223/cn3zng
title: Dataset for: The Viable Sweetpotato Technologies in Africa (VISTA)-Mozambique: Endline survey for Nampula and Zambezia Provinces

description: The endline survey for Viable Sweetpotato Technologies in Africa (VISTA) project in Mozambique was conducted in November-December, 2018 in 15 districts: 11 in Nampula province (11 districts in Nampula Province (Nampula City, Rapale, Murrupula, Malema, Mecuburi, Meconta, Monapo, Mogovolas, Moma, Larde and Angoche) and 4 in Zambezia Province (Alto Molocue, Gurue, Mocuba and Gile). The survey covered 1, 538 households from these 15 districts. A multi-stage sampling procedure was used in selecting households for the study. The first stage involved stratifying the 15 districts into two strata: the pilot districts that were first to be exposed to the intervention from 2014 and the expansion districts that were exposed from 2016. The second stage involved the random selection of the intervention and control villages from the list that was identified by the project staff and local agriculture and health extension officers at the beginning of the project. Once the villages were selected, the households from these villages who were among the 2,955 households interviewed during a baseline survey in 2015 and follow-up survey in 2017 were listed to create as the sampling frame from which the 1,538 households for the 2018/19 survey were randomly selected. This way, the households interviewed in previous surveys were revisited in the 2018/19 survey providing the opportunity to understand farmer experiences with OFSP and adoption, retention and dis-adoption patterns. The number of villages per district and households per village was proportional to size. A structured household survey was used for data collection. The questionnaire had several modules including household socio-demographic characteristics; crop production and sales; knowledge, attitudes and practices on sweetpotato; preferred attributes for sweetpotato varieties; growing of OFSP in previous and current seasons; nutrition and vitamin A knowledge; intake of vitamin A rich foods including OFSP, dietary diversity and food security status.
DOI: 10.21223/cn3zng/6qqnlz
title: VISTA_2018_survey_dataset_cleaned.tab

description: :unav
DOI: 10.21223/cn3zng/z1ovb4
title: VISTA_2017_and_2018-Baseline_SurveyReport2019_04_17_V7.docx

description: :unav
DOI: 10.21223/cn3zng/zk1zu6
title: Data dictionary-VISTA-Mozambique-HHsurvey_2018.tab

description: :unav
DOI: 10.15784/601330
title: Latitude and longitude data for project study sites

description: This .cvs file contains the latitude and longitude, along with closest geographic names, for the 15 study sites visited by projects projects ANT-1744550, -1744570, -1744584, and -1744602 during ARSV Laurence M. Gould cruise LMG 19-04 in April and May 2019.
DOI: 10.5519/qd.6xa0uyjs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4559602 records)
DOI: 10.15784/601318
title: UAV images and video of whales in the Antarctic Penisula during LMG1802

description: This dataset contains UAV (drone) still images and video footage from whales in the Antarctic Peninsula region taken from LM Gould expedition (LMG1802) and small zodiacs. It also contains flight tracks as kml files.
DOI: 10.5281/zenodo.3887222
title: Machine Learning for Outlier Detection in Algal and Cyanobacterial Fluorescence Signals

description: Excel files containing chlorophyll a and phycocyanin fluorescence data imported from https://www.glerl.noaa.gov/res/HABs_and_Hypoxia/habTracker.html for buoys WE2, WE4, WE8, and WE13. The Python code used to manipulate the data and generate figures is also included.
DOI: 10.15784/601313
title: Raw satellite images from NB Palmer and LM Gould Antarctic cruises

description: Raw Satellite Images acquired during several Nathaniel B. Palmer and LM Gould expeditions. These are mostly downloaded during the cruises, often directly using the ships satellite receiver (TerraSat system). The data include visible and infrared images. They are organized by expedition.
DOI: 10.5281/zenodo.3886850
title: rubberxbiodiversityCB

description: This repository contains the R code used to perform the analysis in the following paper (in revision): Wang M. M. H., L. R. Carrasco, D. P. Edwards. 2020. Reconciling rubber expansion with biodiversity conservation. <em>In revision.</em> v0.1.1 is the version at time of resubmission. The development version of this repository is available at github.com/mmw590/rubberxbiodiversityCB.
DOI: 10.5281/zenodo.3886851
title: rubberxbiodiversityCB

description: This repository contains the R code used to perform the analysis in the following paper (in revision): Wang M. M. H., L. R. Carrasco, D. P. Edwards. 2020. Reconciling rubber expansion with biodiversity conservation. <em>In revision.</em> v0.1.1 is the version at time of resubmission. The development version of this repository is available at github.com/mmw590/rubberxbiodiversityCB.
DOI: 10.5519/qd.e54nr2ct
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1151 records)
DOI: 10.5281/zenodo.3887012
title: Metabolomics dataset for identification of metabolites associated with survival in lung cancer patients under treatment

description: Non small cell lung cancer patients' serum samples were collected before treatment. The samples were analyzed by metabolomics using high resolution NMR and untargeted lipidomics using high resolution UPLC-MS. The data was used to identify the predictors of overall survival in the patients after they underwent treatment.
DOI: 10.7910/dvn/xfsbk0/n2scrc
title: GAEZAct2015_Yield_Rapeseed_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/x6gsoa
title: GAEZAct2015_Yield_Groundnut_Irrigated.tif

description: :unav
DOI: 10.5281/zenodo.3887011
title: Metabolomics dataset for identification of metabolites associated with survival in lung cancer patients under treatment

description: Non small cell lung cancer patients' serum samples were collected before treatment. The samples were analyzed by metabolomics using high resolution NMR and untargeted lipidomics using high resolution UPLC-MS. The data was used to identify the predictors of overall survival in the patients after they underwent treatment.
DOI: 10.5281/zenodo.3887030
title: Antimicrobial susceptibility testing SENTRY site 136 2008-2018

description: Minimum inhibitory concentrations (MIC) for bacterial isolates submitted by SENTRY site 136 between 2008 and 2018. Bacterial organisms include Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa and others. Total isolates = 5259. Total antimicrobial agents tested = 68.
DOI: 10.5281/zenodo.3887031
title: Antimicrobial susceptibility testing SENTRY site 136 2008-2018

description: Minimum inhibitory concentrations (MIC) for bacterial isolates submitted by SENTRY site 136 between 2008 and 2018. Bacterial organisms include Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa and others. Total isolates = 5259. Total antimicrobial agents tested = 68.
DOI: 10.7910/dvn/xfsbk0/20cidw
title: GAEZAct2015_Yield_Millet_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/4lphes
title: GAEZAct2015_Yield_Sugarbeet_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/bhfier
title: GAEZAct2015_Yield_Barley_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/bltwd3
title: GAEZAct2015_Yield_Stimulants_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/brrq0d
title: GAEZAct2015_Yield_Cotton_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/eeia3v
title: GAEZAct2015_Yield_Othercereals_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/f4ponj
title: GAEZAct2015_Yield_Barley_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/zwpzny
title: GAEZAct2015_Yield_Cassava_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/4kkfbv
title: GAEZAct2015_Yield_Soybean_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/6vmckg
title: GAEZAct2015_Yield_Cassava_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/bhdkp8
title: GAEZAct2015_Yield_CropsNES_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/ihplcj
title: GAEZAct2015_Yield_CropsNES_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/pf1p32
title: GAEZAct2015_Yield_Sorghum_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/tgleqa
title: GAEZAct2015_Yield_Sunflower_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/wbeesv
title: GAEZAct2015_Yield_Wheat_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/wmqgh3
title: GAEZAct2015_Yield_Tobacco_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/xt3iej
title: GAEZAct2015_Yield_Sorghum_Irrigated.tif

description: :unav
DOI: 10.5519/qd.94kqzall
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1286 records)
DOI: 10.7910/dvn/xfsbk0/59dkbs
title: GAEZAct2015_Yield_Sugarbeet_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/j7pfqx
title: GAEZAct2015_Yield_PotatoAndSweetpotato_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/jno89l
title: GAEZAct2015_Yield_Yamsandotherroots_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/lzzvwa
title: GAEZAct2015_Yield_Maize_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/so4w7r
title: GAEZAct2015_Yield_Rice_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/srgryl
title: GAEZAct2015_Yield_Millet_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/uuq5lu
title: GAEZAct2015_Yield_Maize_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/v833hj
title: GAEZAct2015_Yield_Groundnut_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/vsaaeh
title: GAEZAct2015_Yield_Oilpalmfruit_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/73uvzv
title: GAEZAct2015_Yield_Sunflower_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/k4z7zq
title: GAEZAct2015_Yield_Olives_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/o065ci
title: GAEZAct2015_Yield_Sugarcane_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/pjdlhf
title: GAEZAct2015_Yield_Olives_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/pm73xq
title: GAEZAct2015_Yield_Wheat_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/qxwsxb
title: GAEZAct2015_Yield_Banana_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/skkzrf
title: GAEZAct2015_Yield_Rapeseed_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/u2kyyd
title: GAEZAct2015_Yield_Vegetables_Rainfed.tif

description: :unav
DOI: 10.5281/zenodo.3886590
title: Social contact data for France

description: Social contact data for France, with a total of 1755 participants of which the same participants can be present in 2 waves (≈13%). In each wave, participants reported contacts in two consecutive days.
description: {"references": ["B\u00e9raud G, Kazmercziak S, Beutels P, Levy- Bruhl D, Lenne X, Mielcarek N, et al. (2015) The French Connection: The First Large Population- Based Contact Survey in France Relevant for the Spread of Infectious Diseases. PLoS ONE 10(7): e0133203. doi:10.1371/journal.pone.0133"]}
DOI: 10.7910/dvn/xfsbk0/1k5h6o
title: GAEZAct2015_Yield_Rice_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/1qqwbj
title: GAEZAct2015_Yield_Oilpalmfruit_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/2jbz7v
title: GAEZAct2015_Yield_Foddercrops_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/bernek
title: GAEZAct2015_Yield_PotatoAndSweetpotato_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/olrvec
title: GAEZAct2015_Yield_Soybean_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/smw2ts
title: GAEZAct2015_Yield_Yamsandotherroots_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/vr7sll
title: GAEZAct2015_Yield_Tobacco_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/yaroqg
title: GAEZAct2015_Yield_Foddercrops_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/5j1jyg
title: GAEZAct2015_Yield_Othercereals_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/cnccqc
title: GAEZAct2015_Yield_Cotton_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/fm0xw7
title: GAEZAct2015_Yield_Banana_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/gfjxtz
title: GAEZ+_2015 metadata.pdf

description: MetadataPDF
DOI: 10.7910/dvn/xfsbk0/k5ozjf
title: GAEZAct2015_Yield_Stimulants_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/kvf32i
title: GAEZAct2015_Yield_Pulses_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/mdlf3o
title: GAEZAct2015_Yield_Pulses_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/p6zau9
title: GAEZAct2015_Yield_Sugarcane_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0/xzk4qs
title: GAEZAct2015_Yield_Vegetables_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xfsbk0
title: GAEZ+_2015 Crop Yield

description: FAOSTAT yield data for all countries and crops, 2009-2100 and 2014-2016, are calculated from production and area, not directly reported yield values (http://www.fao.org/faostat/en/#data/QA). We computed the 2015 crop yield grids by doing a grid cell by grid cell division of crop production by crop harvested area, for all crops, both irrigated and rainfed. For each crop, m, and grid cell, k, crop yield in 2015 was computed as the ratio of crop production in 2015 to crop harvested area in 2015. Note that for many grid cells and many crops, the GAEZ+_2015 harvested area is zero. In these cases, the GAEZ+_2015 yield is reported as -3.39999999999999996e+38.
DOI: 10.5281/zenodo.3887272
title: Deep statistical solver: AC power flow 14 nodes

description: Dataset of AC power flow problems on the IEEE 14 nodes
DOI: 10.7910/dvn/1tbgo7/guxfhw
title: GAEZAct2015_Yield_Rapeseed_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/1hgvem
title: GAEZAct2015_Yield_Barley_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/gcuukb
title: GAEZAct2015_Yield_Millet_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/mhfp0e
title: GAEZAct2015_Yield_Groundnut_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/pwbfdb
title: GAEZAct2015_Yield_Stimulants_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/tb7hzj
title: GAEZAct2015_Yield_Barley_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/w7huur
title: GAEZAct2015_Yield_Cassava_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/ydtnbh
title: GAEZAct2015_Yield_Cotton_Irrigated.tif

description: :unav
DOI: 10.5281/zenodo.3887282
title: Deep statistical solver : linear systems

description: Dataset of linear systems for the training and testing of a deep statistical solver
DOI: 10.5519/qd.6d0qcq52
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1346103 records)
DOI: 10.7910/dvn/1tbgo7/3kmba5
title: GAEZAct2015_Yield_Soybean_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/7ic9ad
title: GAEZAct2015_Yield_Sorghum_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/f1jica
title: GAEZAct2015_Yield_CropsNES_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/gzln8j
title: GAEZAct2015_Yield_Wheat_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/p18z8k
title: GAEZAct2015_Yield_Sugarbeet_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/rqimgv
title: GAEZAct2015_Yield_CropsNES_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/vi0ohf
title: GAEZAct2015_Yield_Sunflower_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/zbyw8x
title: GAEZAct2015_Yield_Othercereals_Rainfed.tif

description: :unav
DOI: 10.5519/qd.4jp9jppx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (909 records)
DOI: 10.7910/dvn/1tbgo7/95yvgn
title: GAEZAct2015_Yield_Millet_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/joqzwz
title: GAEZAct2015_Yield_Maize_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/nwlu5n
title: GAEZAct2015_Yield_Maize_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/orqxby
title: GAEZAct2015_Yield_Rice_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/qyykys
title: GAEZAct2015_Yield_PotatoAndSweetpotato_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/rsjip8
title: GAEZAct2015_Yield_Cassava_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/tyygzw
title: GAEZAct2015_Yield_Yamsandotherroots_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/w7l79f
title: GAEZAct2015_Yield_Tobacco_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/1tbgo7/x5yped
title: GAEZAct2015_Yield_Sorghum_Irrigated.tif

description: :unav
DOI: 10.21227/cp1q-4c47
title: Anatomic information from phase data from 72 transcranial MRI-guided focused ultrasound clinical treatments

description: Example axial and coronal phase maps and post-treatment MRI from 68 thalamotomies in essential tremor patients and four pallidotomies in Parkinson's disease patients. From the manuscript "Using phase data from MR temperature imaging to visualize anatomy during MRI-guided focused ultrasound neurosurgery" published in 2020 in IEEE Trans. Med. Imaging.