cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21957/zfxz-3h02
title: Analysis experiment with ECMWF IFS for EUREC4A at 25km resolution, without assimilating dropsondes
DOI: 10.25500/edata.bham.00000860
title: Research data supporting "Quantum limits of position-sensitive photodiodes"
DOI: 10.26180/18851036.v2
title: Data from Chapple et al "Biological invasions as a selective filter driving behavioral divergence"

description: Data and R code for Chapple et al "Biological invasions as a selective filter driving behavioral divergence".
DOI: 10.3886/icpsr03371.v2
title: Database of [United States] Congressional Historical Statistics, 1789-1989
title: Version 2

description: This data release is composed of tables from a database of United States Congressional statistics spanning the time period 1789 through 1989. The sources of the data were studies in the ICPSR collection and other historical texts and studies. There are eleven data files in total, including two additional tables that have been added since the first release. Some files contain records for additional Congresses. The rows in the various files describe different entities. For example, in the Votes Table file, each row contains a record of a vote by a particular member on a particular roll call vote. The Member Table file contains a record for each member of Congress, while the Serves Table file contains a record for each member for every Congress in which he or she served. See the descriptions of each file in the codebook for details about its contents. The data from the various files can be combined by matching the fields that they have in common. Cross-file searches should be conducted using the Member_ID field. However, not every file has the Member_ID field. In those cases, an alternative common field should be used.
description: Datasets: DS0: Study-Level Files DS1: Election Table DS2: Issue Table DS3: Member Table DS4: Party Table DS5: Roll Call Text (RCText) Table DS6: Request Table DS7: Roll Call Requests (Rollreq) Table DS8: Serves Table DS9: Votes Table DS10: Committee Table DS11: Roll Call Table
description: record abstractsThis data has been reviewed and processed by ICPSR staff. In cases where errors could be determined, they were corrected. In some instances, an error was found but no corrective solution was possible.During processing some variable names were truncated to eight characters. In those cases, efforts were made to make the variable names as similar to the original name as possible. The variable labels were not changed to ensure agreement between the statistical files and the codebook.
DOI: 10.5066/p9w12vvx
title: Predator Movements and Duck Nests in Relation to Habitat Features in Suisun Marsh, CA (2016-2019)

description: This dataset describes mesopredator locations (raccoons and striped skunks), dabbling duck nest locations (mallard, gadwall, and cinnamon teal), northern harrier nest locations, and random locations in relation to a set of habitat features in Suisun Marsh, California during 2016 through 2019. We designed a series of questions to link fine-scale predator movements and vulnerability of dabbling duck nests to predator encounters and egg predation. We conducted our study over a 4-year period using 41 GPS-collared raccoons and striped skunks, two of the most widespread mammalian predators of waterfowl eggs in North America, and more than 2000 monitored duck nests. Each night of movement for mesopredators contains the distance between successive locations (each unique night of foraging is identified using the julian date on which the night started), which can be added up to obtain an estimate for the distance traveled per night in between day resting sites. The dataset also includes a set of dabbling duck nests and distances to habitat features that were used to examine the probability of a nest being discovered and depredated by a predator. This dataset also includes a set of nests found within the home ranges of the GPS-collared raccoons and skunks that encountered the most duck nests in the core upland nesting area and whether each nest was encountered or not on a given night by a collared animal. These nest encounters were used to examine the probability of encounter by a collared predator in relation to a set of habitat features. These data support the following publication: Peterson, S.H., Ackerman, J.T., Keating, M.P., Schacter, C.R., Hartman, C.A., Casazza, M.L., and Herzog, M.P., 2022. Predator movements in relation to habitat features reveal vulnerability of duck nests to predation. Ecology and Evolution, 12(9), p.e9329. https://doi.org/10.1002/ece3.9329.
DOI: 10.5281/zenodo.1422385
title: UnmixDB:  A Dataset for DJ-Mix Information Retrieval

description: A collection of automatically generated DJ mixes with ground truth, based on creative-commons-licensed freely available and redistributable electronic dance tracks.

In order to evaluate the DJ mix analysis and reverse engineering methods, we created a dataset of excerpts of open licensed dance tracks and automatically generated mixes based on these.

Each mix is based on a playlist that mixes 3 track excerpts beat-synchronously, such that the middle track is embedded in a realistic context of beat-aligned linear cross fading to the other tracks.<br>
The first track's BPM is used as the seed tempo onto which the other tracks are adapted.

Each playlist of 3 tracks is mixed 12 times with combinations of 4 variants of effects and 3 variants of time scaling using the treatments of the sox open source command-line program [http://sox.sourceforge.net].

Each track excerpt contains about 20s of the beginning and 20s of the end of the source track. However, the exact choice is made taking into account the metric structure of the track. The cue-in region, where the fade-in will happen, is placed on the second beat marker starting a new measure, and lasts for 4 measures.  The cue-out region ends with the 2nd to last measure marker. We assure at least 20s for the beginning and end parts. The cut points where they are spliced together is again placed on the start of a measure, such that no artefacts due to beat discontinuity are introduced.

The UnmixDB dataset contains the ground truth for the source tracks and mixes in ASCII label format with tab-separated columns starttime, endtime, label.<br>
For each mix, the start, end, and cue points of the constituent tracks are given, along with their BPM  and speed factors.<br>
We use the convention that the label starts with a number indicating which of the 3 source tracks the label refers to.

The song excerpts are accompanied by their cue region and tempo information in .txt files in table format.

Additionally, we provide the .beat.xml files containing the beat tracking results for the full tracks available from Sonnleitner et. al. 2016.

Our DJ mix dataset is based on the curatorial work of Sonnleitner et. al. (ISMIR 2016), who collected Creative-Commons licensed source tracks of 10 free dance music mixes from Mixotic. We used their collected tracks to produce our track excerpts, but regenerated artificial mixes with perfectly accurate ground truth.

The code used to create the dataset from the above is published at https://github.com/Ircam-RnD/unmixdb-creation, such that other researchers can create test data from other track collections or in other variants.
DOI: 10.21415/t5mk75
title: CHILDES Spanish Fernández/Aguado Corpus
DOI: 10.21957/4vgx-3f28
title: Reference analysis experiment with ECMWF IFS for the EUREC4A period at 25km resolution
DOI: 10.5281/zenodo.6309896
title: Antarctic surface climate and surface mass balance in the Community Earth System Model version 2 (1850-2100) - AWS data

description: This Antarctica AWS temperature and wind speed dataset was compiled by Alexandra Gossart and Niels Souverijns (https://doi.org/10.1175/JCLI-D-19-0030.1).
DOI: 10.17632/bswvsp24nk.1
title: Data for: Suboptimal and conflict-free control of a fleet of AGVs to serve online requests

description: see README.txt
DOI: 10.21415/t5k01q
title: PhonBank Spanish Llinas/Ojea Corpus
DOI: 10.17632/dzv5t8zm8s.1
title: Data for: Production scheduling and lot streaming at flexible job shops environments using constraint programming

description: Data based in the Dataset provided by Fattahi, P., Saidi Mehrabad, M., & Jolai, F. (2007) “Mathematical modeling and heuristic approaches to flexible job shop scheduling problems”, Journal of Intelligent Manufacturing, 18, 331-342, and extended with lot sizes and lots sequence-dependent setups.
DOI: 10.18112/openneuro.ds002322.v1.0.4
title: The Alice Dataset: fMRI Dataset to Study Natural Language Comprehension in the Brain
DOI: 10.6084/m9.figshare.13584923.v2
title: IguanaBase: a live microsatellite database to guide research and conservation in the genus Iguana (Reptilia: Iguanidae)

description: IguanaBase is a live microsatellite database for the genus Iguana (Reptilia: Iguanidae). The extensive range of this genus demands an equally large collaborative effort to understand genetic diversity for nuclear microsatellite loci through its range. We call upon our colleagues to aid and contribute in this effort. <br> If you have data you wish to contribute, please reach out to catherine.malone.isg@gmail.com. <br> The first version collates data from: Valette et al. (2013): https://doi.org/10.1007/s12686-012-9761-z Vuillaume et al. (2015): https://doi.org/10.1371/journal.pone.0127575 Breuil et al. (2019): https://doi.org/10.11646/zootaxa.4608.2.1 Breuil et al. (2020): https://doi.org/10.3897/zookeys.926.48679 van den Burg et al. (2021): https://doi.org/10.1007/s12686-021-01216-5 Breul et al. (2022): https://dx.doi.org/10.3897/zookeys.1086.76079 <br>
DOI: 10.6084/m9.figshare.17701721
title: Semelparity in an Australian anuran.

description: Capture-mark recapture data set of sandpaper frogs, <i>Lechriodus fletcheri</i>, collected from the Watagan mountains, NSW, Australia over three breeding seasons.
DOI: 10.15468/7ppkhn
title: Synonymic Checklists of the Vascular Plants of the World in the Catalogue of Life

description: World Ferns and World Plants are synonymic checklists of the vascular plants of the world (including ferns and lycophytes). The data set has been compiled over the last 20 years by starting from the basic data of the Kew Index and the Index Filicum. These names (roughly 1 million) have been cross-checked against local floras, checklists and treatments. In the current status about 95% of the species names have been verified, and distribution data are available for about 95% of the countries and families (incomplete only for a major part of families in Malesia for Sumatra, New Guinea, Moluccas, Solomons and Lesser Sunda Islands). Countries without recent checklists include El Salvador, Rwanda, Burundi, Tajikistan, Uzbekistan, Laos, Equatorial Guinea, some smaller Pacific islands, Vanuatu and some families of India. The states of the former Yugoslavia have not yet been completely separated, and the sixth and last part of the Caucasus and Transcaucasus checklist has yet to appear. The listings for the Democratic Republic of Congo (Zaire) are partially badly outdated. Literature for Bangladesh has not yet been received completely.
DOI: 10.17632/5n7h4xfz2n.1
title: Protocol for the IPREVENT Trial

description: Protocol V5.0 15th February 2022
DOI: 10.17632/4k94zfwc2n.1
title: Habitat condition data for Australia from expert elicitation

description: Collection description
These data relate to a project that aimed to construct and test a method for habitat condition data capture across Australia using expert elicitation. The data derived from experts are in two forms: (1) habitat condition scores for specified areas at a specified date range, and; (2) habitat condition scores based on images (photographs) of ecosystems. The image based habitat condition data were collected to enable cross-calibration of contributed site assessment data. These data represent the start of a continent-wide library of ecological condition data suitable for training and validation of model-based approaches to habitat condition assessment.

Methods – site assessments
Experts recorded their assessment of habitat condition for areas within Australia using a data capture tool hosted by the Atlas of Living Australia. Experts mapped site/s with which they have deep familiarity, using polygons. The sites may be small or large, depending on the area over which a consistent condition score can be applied. For each site, experts provided a condition score between 0 and 1 (1=pristine; 0=natural habitat completely removed), the time period of their assessment, and (optionally) disturbances influencing the score. 

Methods – image assessments
Experts recorded their assessment of images using a data capture tool hosted by the Atlas of Living Australia. The image assessment scores are intended to be used to calibrate the site assessment condition scores contributed by experts. Experts were asked to provide a condition score for a suite of images allocated to them based on the Major Vegetation Groups (MVG) and Hutchinson bioclimatic classifications that they nominated familiarity with during the project registration process. The calibration images characterised each ecosystem in several different condition states.

Data products
The condition assessments of sites contributed by experts were formatted and prepared into the following files:
SiteConditionAssessment.csv - Site assessment data of on-ground habitat condition for the 314 sites contributed by experts.
Descriptor_SiteConditionAssessment.csv – A file describing the fields used in the SiteConditionAssessment data file.

The image assessment data were formatted and prepared into the following files:
ImageAssessment.csv – Data on the 278 image assessments of habitat condition, undertaken by experts.
Descriptor_ImageAssessment.csv – A file describing the fields used in the ImageAssessment.csv data file.
DOI: 10.23721/109/1520166
title: IoT_Operation_Traces-20200127 (2020-01-27 to 2020-02-06)
DOI: 10.17632/n33kky5dww.2
title: Increase in colonic PRopionate as a method of prEVENTing weight gain in young adults: IPREVENT Clinical Trial Statistical Analysis Plan

description: Statistical analysis plan for the IPREVENT Trial.
DOI: 10.5281/zenodo.6977026
title: Numerical refractive index correction for the stitching procedure in tomographic quantitative phase imaging – dataset

description: Raw volumetric data used in the work "Numerical refractive index correction for the stitching procedure in tomographic quantitative phase imaging" (doi.org/10.1364/BOE.466403). The data is packaged using the FIJI BigStitcher into HDF5 file. The file is split into 89 parts in ZIP format. Additionally we provide XML file needed for opening the data with BigStitcher and the TXT file with the nominal locations of the volumes based on the readings from the X-Y translation stage. The volumes inside the HDF5 file are already registered for stitching using the BigStitcher pairwise registration and global optimization procedure. Using the BigStitcher option "Resave to TIFF" one can access the raw data that we processed in the work. The processing code which operates on TIFF files is available here: https://github.com/biopto/QPI-stitching-2D-3D.
DOI: 10.6073/pasta/d62b391ee1c4e26f918526095a8531ab
title: Meteorological data from El Verde Field Station: NADP Tower

description: Meteorological sensors are located at the top of a 20 m tower, the NADP Tower, behind the main buildings of El Verde Field Station, 350 masl. No large trees are present near the tower. Sensors are connected to a Campbell 10X data logger, with a storage module, and downloaded every two weeks using a wireless radio connection from the laboratory to the tower. The data is compiled at the station and send to ITES once a month. The station was initiated in 1999. In a separate physical location, rainfall and maximum and minimum air temperatures are measured manually on a daily basis.
DOI: 10.17632/wjt6gy6g93.1
title: National Innovation Capability - Experts interviews (Industry and Academia)

description: This dataset presents the tabulation of the interviews gathering information about the national innovation capability in Ecuador. The interviews were conducted among 14 Ecuadorian experts of the productive sectors and 12 Ecuadorian scholars in the areas related to innovation, research, and transference. The aim is to study their perception of the national innovation capability in developing economies such as Ecuador.
DOI: 10.17632/dj4xnpgsnm.2
title: (DATASET) INNOVATION CAPABILITY: DETERMINANTS RELATIONSHIPS

description: This dataset presents an analysis of relationships between the determinants related to innovation capability. The work compares three main mechanics used to assess the innovation capacity of a nation. These mechanisms are 1) Global Innovation Index published by the World Intellectual Property Organization; 2) Global Competitiveness Index 4.0; and 3) Furman et al., 2002.
DOI: 10.7265/n51c1ttv
title: Antarctic Mean Annual Temperature Map
DOI: 10.17632/r73bymhmmv.2
title: (DATASET) INNOVATION CAPABILITY DETERMINANTS: LITERATURE REVIEW BASE

description: This dataset presents the results of a systematic literature review of the determinants related to innovation capability. Three main mechanisms evaluate this capacity: (1) Global Innovation Index published by the World Intellectual Property Organization; (2) Global Competitiveness Index 4.0; and (3) Furman et al., 2002. From previous work, 14 variables were identified as associated with these three mechanics used to assess the innovation capacity of a nation. 
These variables are (1) Openness to international trade and investment; (2) the percentage of R&D funded by private industry; (3) full-time R&D personnel; (4) strength of protection for Intelectual Property; (5) the percentage of R&D performed by universities; (6) utility models by origin; (7) gross expenditure on R&D, % GDP; (8) university-industry R&D collaboration; (9) expenditure on education, % GDP; 10) QS university ranking, top 3; (11) state of cluster development and depth; (12) co-inventions (co-creations); (13) scientific and technical articles (citations of patents in collaboration between university and industry); and (14) trademarks applications. 

This literature review comprises part of previous work published on “(DATASET) INNOVATION CAPABILITY: DETERMINANTS RELATIONSHIPS”, Mendeley Data, V2, doi: 10.17632/dj4xnpgsnm.2.
DOI: 10.17632/whr7wrh42y.1
title: Adera2.0 Text mining dataset for training neural networks 

description: This is a text mining dataset. It consists of 2000 entries divided into two columns of 1000 entry  each. The first column contains sentences. The second column includes drug compound. This database could primarily be used to train neural networks to extract drug compounds from sentences parsed from any medical literature. The sentences have been pulled from DrugBank, Wikipedia, etc...The compound names have been extracted manually.
DOI: 10.25919/5ce5e29fe1e81
title: Australian habitat image collection

description: These images of terrestrial biodiversity habitats across Australia relate to a project that aimed to construct and test a method for habitat condition data capture across Australia using expert elicitation. The images in this collection were assembled from various sources to represent habitats from a wide variety of vegetation types and climates in a variety of different condition states (from ‘good’ to ‘poor’). These images represent a continent-wide library suitable for various purposes, including training and validation of model-based approaches to habitat condition assessment.
DOI: 10.13135/ela-278
title: Honours for the poet Philippides
DOI: 10.3886/e112664v1
title: Replication data for: Limited Life Expectancy, Human Capital and Health Investments

description: Human capital theory predicts that life expectancy will impact human capital attainment. We estimate this relationship using variation in life expectancy driven by Huntington disease, an inherited neurological disorder. We compare investments for individuals who have ex-ante identical risks of HD but differ in disease realization. Individuals with the HD mutation complete less education and job training. The elasticity of demand for college attendance with respect to life expectancy is around 1.0. We relate this to cross-country and over-time differences in education. We use smoking and cancer screening data to test the corollary that health capital responds to life expectancy.
DOI: 10.5281/zenodo.6638909
title: Wild food plants in the Soviet books

description: The presented dataset aimed to fill a gap in the research on the evolution of book knowledge about wild food plants in the USSR. The dataset enables the expansion of documenting of ethnobotanical data by creating a database of plant taxa to further incorporate information from previous research on the topic and future fieldwork studies in the region. Wild food plants are a valuable yet underutilized natural resource with great potential for nutritional purposes. The knowledge of using wild plants for food can be of particular importance in times of food shortages that may arise due to economic, political, and environmental factors. At the same time, research on edible wild plants and their modes of consumption helps to explore the biodiversity of the study region and its cultural characteristics and contribute to a more sustainable and resilient future.
DOI: 10.15151/esrf-es-903899237
title: Deciphering Ni isotope fractionation at Fe-oxides surfaces

description: We will study the interactions of Ni ions with iron oxides goethite and maghemite-magnetite solid solutions (Fe3-dO4) in aqueous solution, as well as the impact of natural organic matter on these interactions. We make the hypothesis that adsorption of Ni2+ on different Fe-oxides (or its adsorption on specific crystal faces of a given mineral) will lead to surface complexes with different structures. Because isotope fractionation is sensitive to the local chemical environment and bond distances in the formed complexes, this may affect the fractionation of Ni isotopes, which could be used as a tracer in environmental studies. Here, we propose a Ni K-edge HERFD-XAS on FAME-UHD to determine the local environment of Ni at Fe-oxide surfaces, which is otherwise very challenging to perform on lower resolution beamlines because of the close energies of Ni and Fe K-edges
DOI: 10.26050/wdcc/evolv2k-ens
title: eVolv2k-ENS: an ensemble reconstruction of volcanic stratospheric sulfur injection and stratospheric aerosol optical depth

description: Project: Ice core-based volcanic forcing reconstruction for the past 2000 years - Radiative forcing resulting from stratospheric aerosols produced by major volcanic eruptions is a dominant driver of climate variability in the Earth's past. The ability of climate model simulations to accurately recreate past climate is tied directly to the accuracy of the volcanic forcing timeseries used in the simulations. The eVovl2k project aims to produce new and improved volcanic forcing reconstructions, based on newly updated ice core composites from Antarctica and Greenland. Ice core records are translated into stratospheric aerosol properties for use in climate models through the Easy Volcanic Aerosol (EVA) module, which provides an analytic representation of volcanic stratospheric aerosol forcing based on available observations and aerosol model results, prescribing the aerosol's radiative properties and primary modes of spatial and temporal variability. Summary: This database contains 1000 realizations of volcanic stratospheric sulfur injection and stratospheric aerosol optical depth, based on the eVolv2k_v3 reconstruction (https://doi.org/10.26050/WDCC/eVolv2k_v3), incorporating estimated uncertainties in sulfur injection magnitude and eruption timing.