cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/sarva.bgis.10000080
title: Sensitive Wetlands (1:50 000)

description: This data layer was created by Kevin Shaw. Kevin delineated wetland boundaries on 1:50,000 topographical maps. Wetlands are defined by DEA and T Wetlands Conservation Programme (August 1998 draft) as lands supporting predominantly hydrophytes, or where the substrate is predominantly undrained hydric soil, or where the substrate is non-soil and is saturated with water or covered by shallow water at time during the growing season. However, hydric soils cannot be distinguished without a detailed field visit (as suggested by the Wetland Fix Programme). Consequently, boundaries were defined with the help of aerial photographs and personal knowledge to include wetland habitats (open water, reedbeds, salt marshes, mud flats, floodplains) and dams (which are known to have a established floral and faunal component i.e. have some biological functioning and are not sterile). Boundaries where subsequently digitised inhouse (by Riki de Villiers) from the 1:50,000 topographical maps. During November 1999 Riki de Villiers added names and types to the wetlands based on 1:50,000 topographical maps. Please note that these names and types have still to be vetted by Kevin Shaw. Consequently these data should be viewed as in prep until these data have been vetted.
DOI: 10.5281/zenodo.1189252
title: Electron Spin Resonance Dataset

description: Dataset of size [3001x2463], the last row is labels, which are 0 for noise, 1 for single peak, 3 for triple peak
DOI: 10.5281/zenodo.1193186
title: Front-End System2

description: This is the system which uses traditional source separation methods. It's different from system1.
DOI: 10.5281/zenodo.1193187
title: Front-End System2

description: This is the system which uses traditional source separation methods. It's different from system1.
DOI: 10.15468/0onwxd
title: Lithobius (Ezembius) tetraspinus, a new species of centipede from northwest China (Lithobiomorpha, Lithobiidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pei, Sujian, Lu, Yanmin, Liu, Haipeng, Hou, Xiaojie, Ma, Huiqin (2018): Lithobius (Ezembius) tetraspinus, a new species of centipede from northwest China (Lithobiomorpha, Lithobiidae). ZooKeys 741: 203-217, DOI: http://dx.doi.org/10.3897/zookeys.741.19980, URL: http://dx.doi.org/10.3897/zookeys.741.19980
DOI: 10.15468/qn9kcl
title: Two new Lophoturus species (Diplopoda, Polyxenida, Lophoproctidae) from Queensland, Australia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huynh, Cuong, Veenstra, Anneke A. (2018): Two new Lophoturus species (Diplopoda, Polyxenida, Lophoproctidae) from Queensland, Australia. ZooKeys 741: 133-154, DOI: http://dx.doi.org/10.3897/zookeys.741.21814, URL: http://dx.doi.org/10.3897/zookeys.741.21814
DOI: 10.15468/wcilfl
title: Lithobius (Monotarsobius) meifengensis, a new species of centipede from high altitude forest in central Taiwan (Chilopoda, Lithobiomorpha, Lithobiidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chao, Jui-Lung, Lee, Kwen-Shen, Chang, Hsueh-Wen (2017): Lithobius (Monotarsobius) meifengensis, a new species of centipede from high altitude forest in central Taiwan (Chilopoda, Lithobiomorpha, Lithobiidae). ZooKeys 741: 181-192, DOI: http://dx.doi.org/10.3897/zookeys.741.21036, URL: http://dx.doi.org/10.3897/zookeys.741.21036
DOI: 10.15468/yuqys1
title: First record of subterranean rissoidean gastropod assemblages in Southeast Asia (Mollusca, Gastropoda, Pomatiopsidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Grego, Jozef (2018): First record of subterranean rissoidean gastropod assemblages in Southeast Asia (Mollusca, Gastropoda, Pomatiopsidae). Subterranean Biology 25: 9-34, DOI: http://dx.doi.org/10.3897/subtbiol.25.23563, URL: http://dx.doi.org/10.3897/subtbiol.25.23563
DOI: 10.15493/sarva.bgis.10000082
title: SKEP Expert Map - Amphibians

description: Data was mapped by amphibian experts on 1:250 000 topocadastral maps and digitized by Benis Egoh (IPC). This layer shows sensitive amphibian areas within the SKEP region. This data was used to set conservation priorities in the SKEP region. Amphibian data was drawn on several 1:250 000 topocadastral maps. Each of these maps were digitized and saved as a separate shape file. All of the amphibian shape files were then merged into a single file. A standard data form was used to capture the attribute data. This was entered into MS Access and edited in an MS Excel spreadsheet. The attributes were then linked to the shape files.Polygon topology was checked using ARCINFO software. Additions by Western Cape Nature Conservation Board: 24 January 2003, Glynnis Barodien (Conservation Planning Unit) recalculated areas and perimeters using Xtools in Lambert projection.
DOI: 10.15493/sarva.bgis.10000084
title: SKEP Expert Map - Fish

description: Data was mapped by a fish expert on 1:250 000 topocadastral maps and digitized by Benis Egoh (IPC). This layer shows sensitive fish areas within the SKEP region. This data was used to set conservation priorities in the SKEP region. Fish data was drawn on several 1:250 000 topocadastral maps. Each of these maps were digitized and saved as a separate shape file. All of the fish shape files were then merged into a single file. A standard data form was used to capture the attribute data. This was entered into MS Access and edited in an MS Excel spreadsheet. The attributes were then linked to the shape files.Polygon topology was checked using ARCINFO software. Additions by Western Cape Nature Conservation Board: 24 January 2003, Glynnis Barodien (Conservation Planning Unit) recalculated areas and perimeters using Xtools in Lambert projection.
DOI: 10.15493/sarva.bgis.10000086
title: SKEP Expert Map - Invertebrates

description: Data was mapped by invertebrate experts on 1:250 000 topocadastral maps and digitized by Benis Egoh (IPC). This layer shows sensitive invertebrate areas within the SKEP region. This data was used to set conservation priorities in the SKEP region. Invertebrate data was drawn on several 1:250 000 topocadastral maps. Each of these maps were digitized and saved as a separate shape file. All of the invertebrate shape files were then merged into a single file. A standard data form was used to capture the attribute data. This was entered into MS Access and edited in an MS Excel spreadsheet. The attributes were then linked to the shape files.Polygon topology was checked using ARCINFO software. Additions by Western Cape Nature Conservation Board: 24 January 2003, Glynnis Barodien (Conservation Planning Unit) recalculated areas and perimeters using Xtools in Lambert projection.
DOI: 10.15493/sarva.bgis.10000088
title: SKEP Expert Map - Plants

description: Data was mapped by plant experts on 1:250 000 topocadastral maps and digitized by Benis Egoh (IPC). This layer shows sensitive plant areas within the SKEP region. This data was used to set conservation priorities in the SKEP region. Plant data was drawn on several 1:250 000 topocadastral maps. Each of these maps were digitized and saved as a separate shape file. All of the plant shape files were then merged into a single file. A standard data form was used to capture the attribute data. This was entered into MS Access and edited in an MS Excel spreadsheet. The attributes were then linked to the shape files.Polygon topology was checked using ARCINFO software. Additions by Western Cape Nature Conservation Board: 24 January 2003, Glynnis Barodien (Conservation Planning Unit) recalculated areas and perimeters using Xtools in Lambert projection.
DOI: 10.15493/sarva.bgis.10000090
title: SKEP Framework for action

description: Combination of irreplaceability and vulnerability value per planning units. Irreplaceability captures the biodiversity significance of each planning unit in terms of vegetation types and expert features. Vulnerability reflects the potential of future transformation based on urban, crop, ostrich, and mining potential. The Framework field in the dataset has the following meanings: Combination of irreplaceability and vulnerability. Values from 1 to 6 characterise areas of low irreplaceability values (by increasing order of vulnerability; 1: none, 6: high vulnerability). Values from 11 to 15 characterise areas of medium irreplaceability values (by increasing order of vulnerability). Values from 101 to 105 characterise areas of high irreplaceability values (by increasing order of vulnerability) The purpose of this data was to help in setting priority areas for conservation in the SKEP region. Irreplaceability was calculated using C-Plan. Area-based targets were assigned for each biodiversity feature. Vulnerability was developed using expert knowledge. Topology was checked using ARCINFO software. Additions by Western Cape Nature Conservation Board: 24 January 2003, Glynnis Barodien (Conservation Planning Unit) recalculated areas and perimeters using Xtools in Lambert projection.
DOI: 10.15493/sarva.bgis.10000092
title: SKEP Planning Domain

description: Defines the study area for the Succulent Karoo Ecosystem Plan (SKEP). The study area is divided into four sub-regions (Namibia-Gariep, Namaqualand, Hantam-Tanqua-Roggeveld and Southern Karoo). Since the planning domain covers such a large area it was divided into four sub-regions and champions were selected for each region. This made it simpler to co-ordinate various activities in each sub-region. See SKEP technical report for a detailed explanation of how it was created. Topology was checked using ARCINFO software.NOTE: This does not match the outer boundaries of some of the SKEP data layers, as a different reference coastline was used. Additions by Western Cape Nature Conservation Board: 24 January 2003, Glynnis Barodien (Conservation Planning Unit) recalculated areas and perimeters using Xtools in Lambert projection.
DOI: 10.15493/sarva.bgis.10000094
title: Putting Biodiversity Plans to Work - Special Habitats

description: Silcrete patches, quartz patches, and wetlands in the Cape Lowlands Renosterveld Project`s central domain. Note that NO special features occurring in the buffer area (see planning domain infosheet) are included.
DOI: 10.15493/sarva.bgis.10000096
title: Spekboom restoration
DOI: 10.3886/e101440v1
title: anhedonia and suicide in physicians

description: The study explored the Relationship between anhedonia and suicide risk in physicians<br>
DOI: 10.5281/zenodo.1189251
title: Electron Spin Resonance Dataset

description: Dataset of size [3001x2463], the last row is labels, which are 0 for noise, 1 for single peak, 3 for triple peak
DOI: 10.5281/zenodo.1193956
title: Vocalset: A Singing Voice Dataset

description: <strong>NEW IN VocalSet 1.2:</strong> We now have 3 file organization versions:


	Files organized by singer
	Files organized by technique
	Files organized by vowel


We hope that this will ease the process of training and testing models using these different attributes of the dataset.

 

<strong>Overview:</strong>

We present VocalSet, a singing voice dataset consisting of 10.1 hours of monophonic recorded audio of professional singers demonstrating both standard and extended vocal techniques on all 5 vowels. Existing singing voice datasets aim to capture a focused subset of singing voice characteristics, and generally consist of just a few singers. VocalSet contains recordings from 20 different singers (9 male, 11 female) and a range of voice types.  VocalSet aims to improve the state of existing singing voice datasets and singing voice research by capturing not only a range of vowels, but also a diverse set of voices on many different vocal techniques, sung in contexts of scales, arpeggios, long tones, and excerpts.

We have included two .txt files 'train_singers_technique.txt 'and 'test_singers_technique.txt' in which you will find a list of the singers we used to train and test our technique classifier on. 'DataSetVocalises.pdf' contains the sheet singers sang from in their recording sessions. 'readme-anon.txt' contains more information about the dataset, including the mapping from filename to singer voice type as well as more information on the vocalises that will help you map files to sheet music. Enjoy and please cite accordingly!
DOI: 10.15493/sarva.bgis.10000098
title: Springbok
DOI: 10.15493/sarva.bgis.10000100
title: STEP - Conservation Status

description: The conservation status of each vegetation type in the Stepveg5 GIS layer (see Lombard, Wolf and Cole 2003). The conservation status was calculated based on the target area required for each feature, and the amount of that feature still remaining (the extant amount). Where a feature can no longer meet its targets (because of previous habitat transformation) it is classed as Critically Endangered. At the other extreme, a feature that has much more extant habitat than is needed to meet its target, is considered Currently Not Vulnerable. (See Cowling et al. 2003 for details) Purpose: Created for the Subtropical Thicket Ecosystem Planning Project, in order to identify spatial priorities for conservation action in the Thicket Biome.
DOI: 10.15493/sarva.bgis.10000104
title: STEP - Transformation

description: NB !! The fields TRANSDIS and TRANSDIS2 was not included in DBF. These fields contain information on the condition of the land w.r.t. transformation. Transformed and extant land was mapped from satellite (Landsat TM) as part of the STEP Project (see Lloyd et al. 2002 for details). The final land cover map (Figure 5, Lombard, Wolf and Cole 2003) includes high-density aliens to make up 13 land cover classes in total (the 14th class is No data). Some of these are considered transformed with respect to biodiversity pattern, others are considered to be extant land in moderate condition, and the remaining classes are considered to be extant land in good condition (see Lombard, Wolf and Cole 2003 for details). The transformation layer is derived from the land cover layer, where the land classes are dissolved according to four land conditions (see Lombard et al. 2003) Purpose: Created for the Subtropical Thicket Ecosystem Planning Project. Method of capture/Lineage: Layer derived from original image of STEP land cover (raster grid: see Lloyd, J.W., van den Berg, E.C. and Palmer A.R. 2002. Patterns of transformation and degradation in the Thicket Biome, South Africa. TERU Report 39: 86 pp) produced primarily for delineation of transformed land (not natural veld). Methods outlined in: Lombard, A.T., Wolf, T. and Cole, N. 2003. GIS coverages and spatial analyses for the Subtropical Thicket Ecosystem Planning (STEP) Project. TERU Report 42: 78 pp, Appendix 78 pp. Lloyd, J.W., van den Berg, E.C. and Palmer A.R. 2002. Patterns of transformation and degradation in the Thicket Biome, South Africa. TERU Report 39: 86 pp Completeness: The final STEP layer is as complete as is currently possible Supplemental Information: Lombard, A.T., Wolf, T. and Cole, N. 2003. GIS coverages and spatial analyses for the Subtropical Thicket Ecosystem Planning (STEP) Project. TERU Report 42: 78 pp, Appendix 78 pp. Lloyd, J.W., van den Berg, E.C. and Palmer A.R. 2002. Patterns of transformation and degradation in the Thicket Biome, South Africa. TERU Report 39: 86 pp http://zoo.upe.ac.za/step http://cpu.uwc.ac.za
DOI: 10.15493/sarva.bgis.10000106
title: Terrestrial biodiversity assessment
DOI: 10.15493/sarva.bgis.10000108
title: Vegetation Status
DOI: 10.15493/sarva.bgis.10000110
title: Vegetation Merge
DOI: 10.15493/sarva.bgis.10000112
title: Western Cape Wetlands Directory Data

description: This layer was created using point data generated from various reports and studies included in the Western Cape Wetland Directory database (Dallas and Seymour 2006). Wetlands were broadly defined using the definition used by the RAMSAR convention: `areas of marsh, fen, peatland or water, whether natural or artificial, permanent or temporary, with water that is static or flowing, fresh, brackish or salt, including areas of marine water the depth of which at low tides does not exceed 6 meters` (Peck 1999) `This includes all aquatic ecosystems such that wetlands included fall into three groups of marine, estuarine and inland systems (see Dallas and Seymour for more details) Where studies specify latitudes and longitudes (lat-longs), theses were used to point locations of the wetlands to which they referred. For studies which did not state (lat-longs), but which described proximities to landmarks or towns, this information, together with existing GIS coverages (i.e. sensitive wetlands coverage (Shaw and de Villiers 2001) and the CAPE freshwater component (van Nieuwenhuizen and Day 2000) was used to generate point localities. These are indicated in the directory: if lat-longs given are derived from the original data source, they are denoted as `data source`. If they were derived using landmarks and supplementary GIS coverages, they are denoted as `map`. Owing to varying accuracy and settings of GPS instruments and data sources, points often did not align with each other or with the sensitive wetlands layer (Shaw and de Villiers 2001) or the CAPE freshwater component (van Nieuwenhuizen and Day 2000). These points were therefore nudged so that they would align, and generated new lat-longs for these points. The original data remain within the database, but the point GIS coverage (Western Cape Directory Data.shp contains modified lat-longs.
DOI: 10.5281/zenodo.1193633
title: Baseline

description: Our Baseline system
DOI: 10.18434/t4/1424005
title: MCV QoE Mouth To Ear Latency Measurement Data

description: Mouth to Ear (M2E) latency characterizes the time between speech input into one
      communications device and its output through another, and has been identified as a key metric
      of quality of experience (QoE) in communications. NIST's Public Safety Communications Research
      (PSCR) division developed a method to measure and quantify the M2E latency of Push To Talk
      (PTT) devices using MATLAB. Example measurements of the M2E latency of VHF and UHF Land Mobile
      Radios (LMR) operating in both direct mode and in trunked mode were performed. M2E latency of
      VHF and UHF handsets operating in Direct Mode measured over 200 ms whereas VHF and UHF
      handsets operating in trunked mode measured over 400 ms. The measurements were performed using
      land mobile radio (LMR) handhelds. The M2E latency was measured for these devices operating in
      both direct and trunked modes. Direct mode communication is device to device and requires no
      additional radio infrastructure. Trunked mode communication involves an LMR repeater which
      processes the request to transmit by monitoring a control channel, then assigns a specific
      frequency for the LMR to use to communicate with other LMR handsets. Both a single location
      and two location measurement system were developed. The primary purpose of the two-location
      measurement system was for use in future research and to demonstrate that the propagation of
      the signal is generally a negligible contributor to M2E latency. The data provided contains
      single- and two-location lab tests, with cabled RF between devices, as well as two-location
      field tests, with devices communicating over the air. These tests demonstrate the consistency
      of measurement results between the single- and two-location systems in a lab
      environment.
DOI: 10.5281/zenodo.1193196
title: A Survey Of Current Practice Of Data Search Services

description: Relevancy ranking is an important component of making a data repository's search system<br>
responsive to data seekers’ needs. The Research Data Alliance (RDA) Data Discovery Paradigms<br>
Interest Group is a collaborative activity within our data community which aims to improve data<br>
searchability. This survey is intended to gather information about the current practices and lessons<br>
learnt by data repositories in implementing relevancy ranking in search systems. We expect that<br>
analysis of the survey results will:


	Help data repositories choose appropriate technologies when implementing or improving their search functionality;
	Provide a means for sharing experiences in improving relevancy ranking;
	Capture the aspirations, successes and challenges encountered from research data repository managers;
	Help the Data Discovery Paradigms Interest group align future activities on data search improvement with the interests of data search service providers.


For the above the purpose, we designed a survey instrument to answer the following topics (the numbers in brackets indicate the number of questions asked per topic):


	What are characteristics of each repositories (5)?
	What are system configurations (e.g., ranking model, index methods, query methods) (7)?
	Evaluation methods and benchmark (10)
	
		What has been evaluated?
		What evaluation methods have been applied?
		How was the evaluation collection built?
		What is approximate  performance range of search systems with certain configuration?
	
	
	What methods have been used to boost searchability to web search engines (e.g., Google, Bing) (2)
	What other technologies or system configurations have been employed (5)?
	Wish list for future activities for the RDA relevance task force (2)?


Notes: Survey instruments from Version 1 and Version 2 have same questions, but order questions slightly different.  Version 2 has the one as instrumented to participants.
description: We would like to thank survey participants for their contribution to the Survey,  and to members of the  RDA Data Discovery Paradigms Interest group for their contribution to the Relevancy Ranking Task Force.
DOI: 10.17632/9kn8k22psf.1
title: Data for: OPEC News and Predictability of Oil Futures Returns and Volatility: Evidence from a Nonparametric Causality-in-Quantiles Approach
DOI: 10.25376/hra.5936530
title: Data for Exp Physiol 102.12 (2017) pp 1661–1671

description: Raw data used for article published in Experimental Physiology (2017, vol./issue 102.12, pp. 1661–1671).
DOI: 10.25376/hra.5936530.v1
title: Data for Exp Physiol 102.12 (2017) pp 1661–1671

description: Raw data used for article published in Experimental Physiology (2017, vol./issue 102.12, pp. 1661–1671).
DOI: 10.5061/dryad.7d467b6/1
title: PRJEB24964

description: A description and genome assembly locations of the SNPs used on the HD chip
DOI: 10.5061/dryad.7d467b6/7
title: Sequence read archive link to 30 resequenced birds

description: The 30 birds used for the SNP discovery have resequenced genomes available on the NCBI Sequence Read Archive, under project ID SRP066678
DOI: 10.5281/zenodo.1193451
title: Data For "Leader Polarity-Reversal Feature And Charge Structure Of Three Upward Bipolar Lightning Flashes"

description: In a manuscript entitled “Leader Polarity-Reversal Feature and Charge Structure of Three Upward Bipolar Lightning Flashes”,lightning locations,electric field and current data can be obtained through the following attachment.These files can be opened by matlab 2016(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.<br>
One thing should be noted that in the files associated with LMA data,five columns represent x,y,z,time and radiation power, respectively.
DOI: 10.5281/zenodo.1193452
title: Data For "Leader Polarity-Reversal Feature And Charge Structure Of Three Upward Bipolar Lightning Flashes"

description: In a manuscript entitled “Leader Polarity-Reversal Feature and Charge Structure of Three Upward Bipolar Lightning Flashes”,lightning locations,electric field and current data can be obtained through the following attachment.These files can be opened by matlab 2016(or later). The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.<br>
One thing should be noted that in the files associated with LMA data,five columns represent x,y,z,time and radiation power, respectively.