cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/kmutnb.res.2010.10
title: การวางแผนนโยบายการจัดการความรู้ของศูนย์การเรียนรู้ ICT ชุมชน กระทรวงเทคโนโลยีสารสนเทศและการสื่อสาร /
DOI: 10.14457/cu.the.1998.44
title: ไอโซเทิร์มการดูดซับของแก๊สไฮโดรคาร์บอนเข้มข้นด้วยซีโอไลต์ /
DOI: 10.5255/ukda-sn-7666-2
title: Centre for Population Change General Household Survey Database, 1979-2009: Special Licence Access
DOI: 10.14455/tsme.res.2014.331
title: Experimental Investigation on the Effect of Equivalent Ratio and Engine Speed on Cyclic Variation of DME HCCI Combustion and Performance Parameters

description: Combustion in HCCI engines is a controlled autoignition of pre-mixed fuel, air and residual gas. Since there is no direct control on the start of combustion process, the onset of HCCI combustion depends on the auto ignition of fuel/air mixture. This experimental work is conducted to provide insight into HCCI combustion phasing for DME fuel using statistical techniques. In this study, combustion and performance parameters of HCCI engine fueled with DME were investigated using a modified single cylinder, four-stroke engine. Port fumigation mixer is used for preparing homogeneous charge for HCCI engine. The experiments were conducted with ambient intake air temperature and different airfuel ratios at constant engine speed (1200, 1300 and 1400 rpm). For each test condition, P-? diagram of 120 consecutive combustion cycles at steady state operation were recorded. Consequently, cycle-to-cycle variations of the main combustion parameters and performance parameters were analyzed. To evaluate the cyclic variations of DME HCCI combustion parameters, coefficient of variation (COV) and standard deviation of parameters were calculated for every engine operating condition. The experimental results show that the duration of low temperature reaction plays an important role on HCCI combustion, particularly at higher engine speeds. The low temperature reaction appearance, ?LTR, and high temperature reaction appearance, ?HTR, as function of the equivalence ratio for different engine speeds versus the crank-angle does not show high sensitivity to the equivalence ratio and to the engine speed. The knowledge of the duration of the different phases of combustion, as well as cycle-to-cycle variations phenomena of the main combustion and performance parameters, is useful for the definition of regulation strategies.
DOI: 10.15468/dl.rg7afp
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieraaetus weiskei (Reichenow, 1900)"
 ]
}

 The dataset includes 439 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0398775-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wjqvr
title: Occurrence Download

description: A dataset containing 1710 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mucuna urens (L.) Medik."
 ]
}

 The dataset includes 1710 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286130-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zn6ccv
title: Occurrence Download

description: A dataset containing 2379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.724 40.445,-3.693 40.445,-3.693 40.472,-3.724 40.472,-3.724 40.445))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2379 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036910-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybc9k3
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Austroblechnum squamipes (Hieron.) Gasper & V.A.O.Dittrich",
 "TaxonKey is Blechnum mochaenum var. squamipes (Hieron.) de la Sota",
 "TaxonKey is Blechnum squamipes (Hieron.) M.Kessler & A.R.Sm."
 ]
}

 The dataset includes 44 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230361-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2s2jaq
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cerithium egenum A.Gould, 1849)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 488 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051529-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ewdta
title: Occurrence Download

description: A dataset containing 430080 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus idaeus L."
 ]
}

 The dataset includes 430080 records from 679 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038781-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bm8wrn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stramenaspis kelloggi (Coleman, 1903)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0393449-210914110416597/datasets/export for details.
DOI: 10.15468/dl.38taw6
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazilia fimbriata nigricauda (D.G.Elliot, 1878)"
 ]
}

 The dataset includes 164 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072363-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c74g6m
title: Occurrence Download

description: A dataset containing 10248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-99.82590 17.77536,-99.42490 17.77536,-99.42490 17.93570,-99.82590 17.93570,-99.82590 17.77536))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1901-2021"
 ]
}

 The dataset includes 10248 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297674-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8x6fpg
title: Occurrence Download

description: A dataset containing 10478235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10478235 records from 2086 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0255228-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/oiajvo/dojuuh
title: grain_diameter.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/ohdasy
title: r0.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/4s2h2b
title: snow_specific_area.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/l28jd9
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/nois6t
title: albedo_bb_planar_sw.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.6073/pasta/b25cc3d4024a2509fcecdc0a19876bea
title: Canopy damage and recovery following Hurricane Maria using multitemporal lidar data, Mar-2017 - Mar-2020, Puerto Rico

description: Hurricane Maria (Category 4) snapped and uprooted canopy trees, removed large branches, and defoliated vegetation across Puerto Rico. The magnitude of forest damages and the rates and mechanisms of forest recovery following Maria provide important benchmarks for understanding the ecology of extreme events. We used airborne lidar data acquired before (2017) and after Maria (2018, 2020) to quantify landscape-scale changes in forest structure along a 439-ha elevational gradient (100 to 800 m) in the Luquillo Experimental Forest. Damages from Maria were widespread, with 73% of the study area losing ≥1 m in canopy height (mean = -7.1 m). Taller forests at lower elevations suffered more damage than shorter forests above 600 m. Yet only 13% of the study area had canopy heights ≤2 m in 2018, a typical threshold for forest gaps, highlighting the importance of damaged trees and advanced regeneration on post-storm forest structure. Heterogeneous patterns of regrowth and recruitment yielded shorter and more open forests by 2020. Nearly 45% of forests experienced initial height loss (1 m, 2018-2020), whereas 21.6% of forests with initial height losses showed little or no height gain, and 17.8% of forests exhibited no structural changes &gt;|1| m in either period. Canopy layers &lt;10 m accounted for most increases in canopy height and fractional cover between 2018-2020, with gains split evenly between height growth and lateral crown expansion by surviving individuals. These findings benchmark rates of gap formation, crown expansion, and canopy closure following hurricane damage. Included in the attached zip file are four TIF and four KML files.
DOI: 10.22008/fk2/oiajvo/w9bvhw
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/ba5hrm
title: grain_diameter.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/gn1ihy
title: r0.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/9mjcnb
title: snow_specific_area.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/eimkx2
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/wv5qlu
title: albedo_bb_planar_sw.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/7aya1e
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/ntnwmr
title: grain_diameter.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/1eo3id
title: r0.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/7wgub3
title: snow_specific_area.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/xlejlt
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.5281/zenodo.5548007
title: Healthy and UC dense time series of murine gnotobiotic microbiome

description: The above files are the results of the MCMC simulations we ran using our model, MDSINE2. They are used to generate the figures in the paper. Besides MCMC related pickle files, there are also .npy and clv files, which are used to create some of the figures in the paper.
DOI: 10.22008/fk2/oiajvo/mc7gao
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/i46orz
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/h1yqni
title: albedo_bb_planar_sw.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/c6jjc2
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/pv53ub
title: grain_diameter.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/9anert
title: r0.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/wz7isb
title: snow_specific_area.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/5zvevm
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/wukn6s
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/u1rnnw
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/yidumm
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/xacvgh
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/kzzd0j
title: albedo_bb_planar_sw.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/mc3twm
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/29j02h
title: grain_diameter.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/b0o8n7
title: r0.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/8ixak7
title: snow_specific_area.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/jrqiwb
title: al.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.22008/fk2/oiajvo/rzjmy2
title: diagnostic_retrieval.tif

description: SICE version: Cloud removed, PPGC, SNAP7, pySICEv1.4
DOI: 10.5517/ccdc.csd.cc27h7jj
title: CCDC 2070227: Experimental Crystal Structure Determination

description: Related Article: Jaspreet S. Dhau, Avtar Singh, Paula Brandão, Vitor Felix|2021|Inorg.Chem.Commun.|133|108942|doi:10.1016/j.inoche.2021.108942
DOI: 10.6084/m9.figshare.16743796
title: Convergoing responses of nutrient resorption in plant life forms to nitrogen addition in temperate shrublands: Dataset

description: Atmospheric nitrogen (N) deposition has significantly altered nutrient availability in most terrestrial ecosystems, which may affect plant nutrient resorption and hence change community composition and nutrient cycling. Nutrient resorption from senesced leaves is a ubiquitous mechanism of nutrient conservation, which is very important for plants to adapt to nutrient deficiency. However, how N deposition affects leaf concentration and internal nutrient cycling of different life forms remains unclear, especially in temperate shrublands. A 4-year N addition manipulation experiment in Vitex negundo and Spiraea trilobata shrublands was conducted, and the green and senesced leaf N ([N]g and [N]s) and phosphorus ([P]g and [P]s ) concentrations and N (NRE) and P (PRE) resorption efficiency of two plant life forms were investigated. We found that both NRE and PRE varied markedly between the two life forms, being lower in shrubs and higher in graminoids, implying that shrubs probably have a higher capability of acquiring nutrients from soil, whereas graminoids rely on acquiring more nutrients via resorption. N addition increased the [N]g, [N]s and N:P ratios ([N:P]) of shrubs and all species, whereas it had negligible effects on graminoids. The [P]g and [P]s, NRE and PRE did not change in either life form or all species combined after N fertilization. Our results suggest that shrubs increase N uptake but do not alter internal N cycling, whereas graminoids do not change N acquisition strategies, in response to increased N supply from the soil. Continuous N addition exacerbated the P limitation of the shrub plants. Both shrubs and graminoids were more likely to adopt nearly complete utilization of P from the soil and senesced leaves under P deficiency, leading to a noneffect of N addition on leaf PRE.
DOI: 10.5281/zenodo.5550108
title: Dataset for master's thesis reproduction package

description: This is the data needed to reproduce the results shown in my master's thesis <em>"Measuring the Energy Consumption ofSoftware written in C on x86-64 Processors"</em>.
DOI: 10.34740/kaggle/dsv/2678487
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.16743968
title: R code to reproduce statistical analyses and figures from Correction to: Cannibalism by damselflies increases with rising temperature

description: R code with comments to reproduce the original analyses, identify errors, and produce figures
DOI: 10.6084/m9.figshare.16743968.v1
title: R code to reproduce statistical analyses and figures from Correction to: Cannibalism by damselflies increases with rising temperature

description: R code with comments to reproduce the original analyses, identify errors, and produce figures
DOI: 10.21942/uva.16708417
title: Test Data RDX

description: This dataset contains random data, that is only for the purpose of testing a new project named RDX<br>RDX:https://rdx-test-1.dataex-sara.surf-hosted.nl/access/10.21942/uva.16708417 <br>
DOI: 10.21942/uva.16708417.v1
title: Test Data RDX

description: This dataset contains random data, that is only for the purpose of testing a new project named RDX<br>RDX:https://rdx-test-1.dataex-sara.surf-hosted.nl/access/10.21942/uva.16708417 <br>
DOI: 10.6084/m9.figshare.16742098
title: Site_frame

description: Experimental averages, management, and environmental data for every experiment, across all genotypes, including sites with missing lat/longs:<br>A flat csv including site-averaged phenotypes and unique experiment identifier (BOMDom_Trial_ID) that can used to like these data to imputed environmental data.<br><br>
DOI: 10.6084/m9.figshare.11961063
title: Dimensions COVID-19 publications, datasets and clinical trials

description: This file contains all relevant publications, datasets and clinical trials from Dimensions that are related to COVID-19. The content has been exported from Dimensions using a query in the openly accessible Dimensions application, which you can access at https://covid-19.dimensions.ai/.<br> Dimensions is updated once every 24 hours, so the latest research can be viewed alongside existing information. With its range of research outputs including datasets and clinical trials, both of which are just as important as journal articles in the face of a potential pandemic, Dimensions is a one-stop shop for all COVID-19 related information. <br>Please share this information with anyone you think would benefit from it. If you have any suggestions as to how we can improve our search terms to maximise the volume of research related to COVID-19, please contact us at support@dimensions.ai.<br>Please note: From October 2021 on the Dimensions COVID-19 dataset will continue to be updated only on Google BigQuery going forward. Please visit https://www.dimensions.ai/covid19/ on how to access the most current dataset.<br>
DOI: 10.6084/m9.figshare.11961063.v41
title: Dimensions COVID-19 publications, datasets and clinical trials

description: This file contains all relevant publications, datasets and clinical trials from Dimensions that are related to COVID-19. The content has been exported from Dimensions using a query in the openly accessible Dimensions application, which you can access at https://covid-19.dimensions.ai/. Dimensions is updated once every 24 hours, so the latest research can be viewed alongside existing information. With its range of research outputs including datasets and clinical trials, both of which are just as important as journal articles in the face of a potential pandemic, Dimensions is a one-stop shop for all COVID-19 related information. <br>Please share this information with anyone you think would benefit from it. If you have any suggestions as to how we can improve our search terms to maximise the volume of research related to COVID-19, please contact us at support@dimensions.ai.
DOI: 10.6084/m9.figshare.16743808
title: Triticale

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request.
DOI: 10.6084/m9.figshare.16743808.v1
title: Triticale

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request.
DOI: 10.6084/m9.figshare.16743811
title: Wheat_part1

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request. Part 1/3 of the wheat data.<br>
DOI: 10.6084/m9.figshare.16743757
title: Lupin

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request.
DOI: 10.6084/m9.figshare.16743841
title: Wheat_part2

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request. Part 2/3 of the wheat data.
DOI: 10.6084/m9.figshare.16743751
title: Field_Pea

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request.
DOI: 10.6084/m9.figshare.16743754
title: Lentil

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request.
DOI: 10.6084/m9.figshare.16743730
title: Canola

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Barley is excluded for ethical reasons, available on request.<br>
DOI: 10.6084/m9.figshare.16743730.v1
title: Canola

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Barley is excluded for ethical reasons, available on request.<br>
DOI: 10.6084/m9.figshare.16742911.v1
title: random_sample_1

description: Experimental averages, management, and environmental data for every experiment, across all genotypes, including sites with missing lat/longs:<br>Random-sample imputed data for each site, including linearly interpolated satellite data, environment and management variables. Each is the first of 25 large imputations. Contact me for the entire (bulky) dataset.
DOI: 10.6084/m9.figshare.16743745
title: Chickpea

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request.
DOI: 10.6084/m9.figshare.16743748
title: Faba_Bean

description: A flat csv file contaning all data for the labeled species, at the resolution of site-variety-year combinations. Wheat is split into three files as there are too many records. Barley is excluded for ethical reasons, available on request.