cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12678995.v1
title: A remote sensing-based area dataset for approximately 40 years that reveals the hydrological asynchrony of Lake Chad based on Google Earth Engine

description: As the second largest lake in Africa, the extent of Lake Chad has over 50% seasonal variations with large parts of water under aquatic vegetation. Although a great area shrinkage since the 1960s divided the lake into two parts, namely, the northern and southern basins, it still feeds millions of people from four countries around it. Given sparse in situ measurements, remote sensing with seamless spatial coverage has served for acquiring the long-term area series of Lake Chad. This study retrieves the open (unvegetated) surface water area series of Lake Chad and the total inundation area, including open water and water under macrophytes, combining multiple remote sensing data from around 1980 to 2020 with satellite-based water level and in situ observations at the Bol gauge as validation and auxiliary. Results show that the total inundation area continuously recovered at a rate of 145 km<sup>2</sup>/year from 1982 to 2020 with large annual fluctuations. Approximately two- to three-month time lags between the open surface water and the total inundation area reveal the hydrological asynchrony of Lake Chad, which can be attributed by the large area of rooted macrophytes. The overspill of the southern surface water flowing over the Great Barrier into the northern lake also has a one-month lag with the open surface water of the southern lake. The Google Earth Engine-based online application can be easily shared for use and data downloaded by the general public, and the open code can be adjusted for any other lakes worldwide.
DOI: 10.6084/m9.figshare.12678995
title: A remote sensing-based area dataset for approximately 40 years that reveals the hydrological asynchrony of Lake Chad based on Google Earth Engine

description: As the second largest lake in Africa, the extent of Lake Chad has over 50% seasonal variations with large parts of water under aquatic vegetation. Although a great area shrinkage since the 1960s divided the lake into two parts, namely, the northern and southern basins, it still feeds millions of people from four countries around it. Given sparse in situ measurements, remote sensing with seamless spatial coverage has served for acquiring the long-term area series of Lake Chad. This study retrieves the open (unvegetated) surface water area series of Lake Chad and the total inundation area, including open water and water under macrophytes, combining multiple remote sensing data from around 1980 to 2020 with satellite-based water level and in situ observations at the Bol gauge as validation and auxiliary. Results show that the total inundation area continuously recovered at a rate of 145 km<sup>2</sup>/year from 1982 to 2020 with large annual fluctuations. Approximately two- to three-month time lags between the open surface water and the total inundation area reveal the hydrological asynchrony of Lake Chad, which can be attributed by the large area of rooted macrophytes. The overspill of the southern surface water flowing over the Great Barrier into the northern lake also has a one-month lag with the open surface water of the southern lake. The Google Earth Engine-based online application can be easily shared for use and data downloaded by the general public, and the open code can be adjusted for any other lakes worldwide.
DOI: 10.6084/m9.figshare.12678995.v3
title: A remote sensing-based area dataset for approximately 40 years that reveals the hydrological asynchrony of Lake Chad based on Google Earth Engine

description: As the second largest lake in Africa, the extent of Lake Chad has over 50% seasonal variations with large parts of water under aquatic vegetation. Although a great area shrinkage since the 1960s divided the lake into two parts, namely, the northern and southern basins, it still feeds millions of people from four countries around it. Given sparse in situ measurements, remote sensing with seamless spatial coverage has served for acquiring the long-term area series of Lake Chad. This study retrieves the open (unvegetated) surface water area series of Lake Chad and the total inundation area, including open water and water under macrophytes, combining multiple remote sensing data from around 1980 to 2020 with satellite-based water level and in situ observations at the Bol gauge as validation and auxiliary. Results show that the total inundation area continuously recovered at a rate of 145 km<sup>2</sup>/year from 1982 to 2020 with large annual fluctuations. Approximately two- to three-month time lags between the open surface water and the total inundation area reveal the hydrological asynchrony of Lake Chad, which can be attributed by the large area of rooted macrophytes. The overspill of the southern surface water flowing over the Great Barrier into the northern lake also has a one-month lag with the open surface water of the southern lake. The Google Earth Engine-based online application can be easily shared for use and data downloaded by the general public, and the open code can be adjusted for any other lakes worldwide.
DOI: 10.6084/m9.figshare.12678995.v2
title: A remote sensing-based area dataset for approximately 40 years that reveals the hydrological asynchrony of Lake Chad based on Google Earth Engine

description: As the second largest lake in Africa, the extent of Lake Chad has over 50% seasonal variations with large parts of water under aquatic vegetation. Although a great area shrinkage since the 1960s divided the lake into two parts, namely, the northern and southern basins, it still feeds millions of people from four countries around it. Given sparse in situ measurements, remote sensing with seamless spatial coverage has served for acquiring the long-term area series of Lake Chad. This study retrieves the open (unvegetated) surface water area series of Lake Chad and the total inundation area, including open water and water under macrophytes, combining multiple remote sensing data from around 1980 to 2020 with satellite-based water level and in situ observations at the Bol gauge as validation and auxiliary. Results show that the total inundation area continuously recovered at a rate of 145 km<sup>2</sup>/year from 1982 to 2020 with large annual fluctuations. Approximately two- to three-month time lags between the open surface water and the total inundation area reveal the hydrological asynchrony of Lake Chad, which can be attributed by the large area of rooted macrophytes. The overspill of the southern surface water flowing over the Great Barrier into the northern lake also has a one-month lag with the open surface water of the southern lake. The Google Earth Engine-based online application can be easily shared for use and data downloaded by the general public, and the open code can be adjusted for any other lakes worldwide.
DOI: 10.5281/zenodo.5552513
title: Layers in situ 22-23 sept 2021

description: Mapping of PAAO substrate, anodized in 0.3 M oxalic acid, 40V, 5 Celsium, 300 sec.
DOI: 10.17030/uclan.data.00000307
title: UK Licence Plate Synthetic Images
DOI: 10.6073/pasta/c25b04f0d3d636a5573531caca5898c2
title: Geospatial data for Luquillo Mountains, Puerto Rico: Mean annual precipitation, elevation, watershed outlines, and rain gage locations

description: The data archive is here: https://doi.org/10.5066/F74F1PM2 please use this DOI when citing this data set. These geospatial data sets were developed as part of a new analysis of all known current and historical rain gages in the Luquillo Mountains, Puerto Rico published in the journal article Murphy, S.F., Stallard, R.F., Scholl, M.A., Gonzalez, G., and Torres-Sanchez, A.J., 2017, Reassessing rainfall in the Luquillo Mountains, Puerto Rico: Local and global ecohydrological implications: PLOS One 12(7): e0180987, p. 1-26, https://doi.org/10.1371/journal.pone.0180987. That article provides a revised map of mean annual precipitation developed using elevation regression functions and residual interpolation, and that map is presented here in a raster file. Most previous forest- and watershed-wide estimates of precipitation (and evapotranspiration, as inferred by a water balance) have assumed that precipitation increases consistently with elevation in the Luquillo Mountains; therefore, precipitation in leeward Luquillo watersheds has been overestimated by up to 40%.Because the Luquillo Mountains often serve as a wet tropical archetype in global assessments of basic ecohydrological processes, these revised estimates are relevant to regional and global assessments of runoff efficiency, hydrologic effects of reforestation, geomorphic processes, and climate change.
DOI: 10.6073/pasta/adea810e046d598aa67aa9cbbd252ad2
title: Springtails (Arthropoda, Collembola) from Greater Puerto Rico: species list and distribution

description: The data archive is here: https://doi.org/10.2737/RDS-2018-0063 please use this DOI when citing this dataset. The Collembola fauna of Puerto Rico is reasonably well known, but many recent reports are scattered in published literature and unpublished theses. Here we present a summary of all springtail species identified from the Bank of Puerto Rico since 1927 and 2011. This includes new, previously unpublished records. In the present review we list 119 species in 59 genera and 17 families. Most species (37) belong in family Entomobryidae, but this reflects the taxonomic expertise of specialists working in Puerto Rico rather than a real bias in the distribution of higher taxa in the islands. In addition to the new reports, these data provide information on the distribution of the species outside the island bank. This current list of species is an update to original species lists from Puerto Rico (Mari Mutt 1982 and Thibaud 2014). In addition to the list of species, we make available a data set that includes a catalog of species, their habitats, historical reports and distribution maps on Greater Puerto Rico.
DOI: 10.7479/y9j0-7125
title: Different types of vocalizations produced by Sclater's Wrens (Campylorhynchus rufinucha)

description: Different types of vocalizations produced by Sclater's Wrens (Campylorhynchus rufinucha). Recordings used in Different types of vocalizations produced by Sclater's Wrens (Campylorhynchus rufinucha). Recordings used in: Quiroz-Oliva, M. and Sosa-López J.R. (2021): "Vocal behaviour of Sclater’s Wrens, a duetting Neotropical songbird: repertoires, dawn chorus variation, and song sharing", Journal of Ornithology
DOI: 10.5517/ccdc.csd.cc265zyb
title: CCDC 2031552: Experimental Crystal Structure Determination

description: Related Article: Antoine Meunier, Michael L. Singleton, Brice Kauffmann, Thierry Granier, Guillaume Lautrette, Yann Ferrand, Ivan Huc|2020|Chemical Science|11|12178|doi:10.1039/D0SC05143H
DOI: 10.5517/ccdc.csd.cc26602j
title: CCDC 2031556: Experimental Crystal Structure Determination

description: Related Article: Antoine Meunier, Michael L. Singleton, Brice Kauffmann, Thierry Granier, Guillaume Lautrette, Yann Ferrand, Ivan Huc|2020|Chemical Science|11|12178|doi:10.1039/D0SC05143H
DOI: 10.5517/ccdc.csd.cc27xbzh
title: CCDC 2082827: Experimental Crystal Structure Determination

description: Related Article: xiangxin li|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27xc0k
title: CCDC 2082828: Experimental Crystal Structure Determination

description: Related Article: xiangxin li|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27yl60
title: CCDC 2084012: Experimental Crystal Structure Determination

description: Related Article: Qian Wan, Jia-Hao Xie, Chao Zheng, Yao-Feng Yuan, Shu-Li You|2021|Angew.Chem.,Int.Ed.|60|19730|doi:10.1002/anie.202107767
DOI: 10.5517/ccdc.csd.cc27yl71
title: CCDC 2084013: Experimental Crystal Structure Determination

description: Related Article: Qian Wan, Jia-Hao Xie, Chao Zheng, Yao-Feng Yuan, Shu-Li You|2021|Angew.Chem.,Int.Ed.|60|19730|doi:10.1002/anie.202107767
DOI: 10.5517/ccdc.csd.cc2857j7
title: CCDC 2090408: Experimental Crystal Structure Determination

description: Related Article: V. A. Osyanin, D. V. Osipov, K. S. Korzhenko, V. A. Belyakova|2021|CSD Communication|||
DOI: 10.6073/pasta/81f1dceb3aa13384ca16d88aa2064c2b
title: Luquillo canopy trimming experiment - meteorological data, soil sensor, and cannopy measurements

description: The data archive is here: https://doi.org/10.2737/RDS-2019-0051 please use this DOI when citing this dataset. This data publication contains average daily means for field and satellite data from 3 treated and 3 control plots from the Canopy Trimming Experiment (CTE) located near El Verde Field Station (419 meters; 18°20’ N, 65°49’ W) in the Luquillo Experimental Forest (El Yunque National Forest), Puerto Rico collected from 2003 through 2019. In spring of 2005 (CTE1) and December of 2014 (CTE2), in 0.09 hectare (ha) square plots near the El Verde Field Station the forest canopy was trimmed and the canopy debris was littered to the forest floor. The plot size and trim amounts were based on the patch disturbance after the two most recent hurricanes before 2017, both category 3 hurricanes at the location of El Verde: Hugo in September 1989, and Georges in September 1998 (Zimmerman et al. 2014). Details of the trimming and littering treatment, as well as the biotic response to the 2005 experiment have been extensively documented (Richardson et al. 2010; Shiels et al. 2014, 2015; Shiels and González 2014). The data were collected in the inner 0.04 ha quadrants of the 0.09 ha trimmed plots to minimize edge effects. There were 3 sets of control and treated plots, with each set near El Verde field station. Field data include: solar radiation, throughfall, air temperature, soil temperature, relative humidity shallow soil, volumetric water content, soil profile volumetric water content, canopy leaf saturation, litter leaf saturation, and above canopy air temperature. Satellite data include: Moderate Resolution Imaging Spectroradiometer (MODIS) leaf area index converted into solar radiation, MODIS land surface temperature, and Advanced Microwave Scanning Radiometer (AMSR) soil volumetric water content.
DOI: 10.5281/zenodo.5550431
title: Europarl Direct Translationese Dataset

description: Monolingual and multilingual translationese corpora as described in the paper <strong>Do not Rely on Relay Translations: Multilingual Parallel Direct Europarl</strong><br> <em>Kwabena Amponsah-Kaakyire, Daria Pylypenko, Cristina España-Bonet, Josef van Genabith<br> In: 23rd Nordic Conference on Computational Linguistics. Workshop on Modelling Translation: Translatology in the Digital Age (MoTra-2021) May 31-June 2 Virtual Iceland Seiten 1-7 Linköping Electronic Conference Proceedings Association for Computational Linguistics 5/2021.</em> <strong>Single-source monolingual datasets:</strong><br> mono_de_en: text in DE with DE originals and translations from EN<br> mono_de_es: text in DE with DE originals and translations from ES<br> mono_en_de: text in EN with EN originals and translations from DE<br> mono_en_es: text in EN with EN originals and translations from ES<br> mono_es_de: text in ES with ES originals and translations from DE<br> mono_es_en: text in ES with ES originals and translations from EN <strong>Multisource monolingual datasets:</strong><br> mono_de_multisource: text in DE with DE originals and translations from EN, ES<br> mono_en_multisource: text in EN with EN originals and translations from DE, ES<br> mono_es_multisource: text in ES with ES originals and translations from DE, EN <strong>Multilingual datasets:</strong><br> multi3 - texts in DE, EN, ES with originals and translations from DE, EN, ES<br> multi8 - texts in DE, EL, EN, ES, FR, IT, NL, PT with originals and translations from DE, EL, EN, ES, FR, IT, NL, PT
description: This project is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft) under grant SFB 1102: Information Density and Linguistic Encoding.
DOI: 10.6073/pasta/3bfae96d536387868ed595773a828fe5
title: Tropical green roofs vegetation dynamics data

description: The data archive is here: https://doi.org/10.2737/RDS-2021-0024 please use this DOI when citing this dataset. This publication contains data collected in 2017 from three green roofs at the International Institute of Tropical Forestry in San Juan, Puerto Rico and one green roof at the Social Sciences Faculty of the University of Puerto Rico in Río Piedras. Data from these extensive green roofs include substrate depth as well as species counts within a sampled quadrant, as well as species identification information.
DOI: 10.6073/pasta/74ae9f19c1c8de3fb6d5b13732bc6100
title: Rainfall and ion composition data from multiple weather stations along an elevation gradient in northeastern Puerto Rico (2009-2018)

description: The data archive is here: https://doi.org/10.2737/RDS-2021-0013 please use this DOI when citing this dataset. Rainfall and ionic composition data were collected at 21 sites along the elevational gradient of the Luquillo Mountains, in Puerto Rico. Stations were selected along the east coast of the island and follow the steep slope of the mountains until the highest peaks. Rainfall data were collected every two weeks and are provided in this data publication as monthly rainfall from January 2009 through May 2019. Also included are pH and conductivity which are provided monthly starting roughly in November 2011 and continue through May 2019. Monthly ionic composition data from rainwater samples collected during the last two weeks of each month are also included from January 2009 through December 2017.
DOI: 10.6073/pasta/92f9d30f0598bf751881a13596b055e0
title: Luquillo Experimental Forest Canopy Trimming Experiment CTE2 2015-2020 30-minute abiotic data

description: The data archive is here: https://doi.org/10.2737/RDS-2021-0028 please use this DOI when citing this dataset. This data publication contains 30-minute values for abiotic field data from 3 treated and 3 control plots from the Canopy Trimming Experiment (CTE) located near El Verde Field Station in the Luquillo Experimental Forest (El Yunque National Forest), Puerto Rico collected from 2015 through 2020. In December of 2014 (CTE2), in 0.09 hectare (ha) square plots near the El Verde Field Station the forest canopy was trimmed and the canopy debris was littered to the forest floor. The plot size and trim amounts were based on the patch disturbance after the two most recent hurricanes before 2017, both category 3 hurricanes at the location of El Verde: Hugo in September 1989, and Georges in September 1998. Data were collected in the inner 0.04 ha quadrants of the 0.09 ha trimmed plots to minimize edge effects. Each plot was made up of 16 subplots with different data types collected in each subplot. There were 3 sets of control and treated plots, with each set near El Verde field station. Field data include 30-minute: solar radiation, soil profile volumetric water content, shallow soil volumetric water content, canopy leaf saturation, litter leaf saturation, air temperature, soil temperature, air relative humidity, vapor pressure, and throughfall. Field data were collected by one automatic sensor in each plot inside a designated subplot, except: soil profile volumetric water content, canopy leaf saturation, and litter leaf saturation; each were collected in three subplots.
DOI: 10.6073/pasta/56ebb8393a8fd25865d32dd2ccd22b33
title: LEF Sabana weather station from 2018

description: The data archive is here: https://doi.org/10.2737/RDS-2021-0030 please use this DOI when citing this dataset. This data publication contains 1 hour values for field data from the weather station at Sabana Field Station, on top of a scaffold tower in the Luquillo Experimental Forest (El Yunque National Forest), Puerto Rico collected from 2018 through 2020. The weather station collects solar radiation, photosynthetically active radiation (PAR), air temperature, air relative humidity, precipitation, barometric pressure, and wind (speed and direction broken down to octants with a wind rose). The weather data have been recorded at the Sabana Field station since 2001; this is the third location of the weather station. The weather station was located on the laboratory roof from 2001-2007, and a demonstrative weather station existed 2007-2018. This newer weather station’s data should not be directly compared to the previous weather stations, as it is in a different location.
DOI: 10.6073/pasta/b677d1fcea6db99dce05a9338aaf9885
title: Canopy damage and recovery following Hurricane Maria using multitemporal lidar data, Mar-2017 - Mar-2020, Puerto Rico

description: The data archive is here: http://dx.doi.org/10.15486/ngt/1797399 please use this DOI when citing this dataset. 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: 10.15132/10000171
title: Interviews Discussing Interdisciplinary Collaboration in Art Science Projects

description: This dataset contains qualitative interview data which investigated interdisciplinary collaboration between sciences and the arts (with some other broad themes for comparative analysis). Participants from the discursive group interviews were staff members at the University of Dundee (UoD) involved in the doctoral research this dataset is related to. Participants from the informal interviews were not connected to the research directly or staff of the UoD, to allow comparative analysis methods to be conducted.

The dataset includes 'Discursive Group Interview' data and 'Informal Interview' data. Available to the public are the Ethics form templates, non-identifiable transcripts of the group interviews and notes and empathy maps from the informal interviews. The Excel files of interview codes and paraphrased statements have organised 'meaningful units' (MUs) identified in the transcripts into coded categories and paraphrased below the list of MUs, to show connections made for the purposes of the doctoral research.
DOI: 10.17895/ices.data.8527
title: Input data files for the OSPAR MIME 2021 assessment
DOI: 10.6084/m9.figshare.16750990
title: Table 3 Treatment of a new quality of economic growth in smart economy and its advantages for developing countries.docx

description: Treatment of a new quality of economic growth in smart economy and its advantages for developing countries
DOI: 10.6084/m9.figshare.16750990.v1
title: Table 3 Treatment of a new quality of economic growth in smart economy and its advantages for developing countries.docx

description: Treatment of a new quality of economic growth in smart economy and its advantages for developing countries