cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.44fjws
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((123.35277 -14.25579,159.64723 -14.25579,159.64723 0.25579,123.35277 0.25579,123.35277 -14.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelodina parkeri Rhodin & Mittermeier, 1976",
 "Year 2004-2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077978-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13361407
title: ENDGAME - Laboratory Experiment 2024-01-17 Exp. 023 - High Speed Camera data

description: Shock-tube experiments in combination with high speed Schlieren shadow photography. 

The shocktube setup consists of a high-pressure reservoir connected with a cylindrical tube through a diaphragm pulse valve which allows a fast release of pressurized gas into the ambient pressure tube. The high-pressure reservoir is filled with compressed air at a given overpressure with respect to ambient pressure (up to 8 bar). The pipe was either empty (i.e. with air at ambient conditions) or filled with a given amount of small particles. We adopted pipes an inner diameter of 4 cm and different lengths (20, 30 and 80 cm). We also considered different volumes of pressurized gas (~650 cm3 and ~1550 cm3). A pressure sensor has been placed at the vent of the conduit to record pressure variations during experiments. Images from the high speed camera were collected at a frame rate of 30000 fps.

When the valve is open, a jet flow is produced, with shock and acoustic waves propagating in the atmosphere, which become visible due to the high speed Schlieren shadow photography.
DOI: 10.5281/zenodo.13361408
title: ENDGAME - Laboratory Experiment 2024-01-17 Exp. 023 - High Speed Camera data

description: Shock-tube experiments in combination with high speed Schlieren shadow photography. 

The shocktube setup consists of a high-pressure reservoir connected with a cylindrical tube through a diaphragm pulse valve which allows a fast release of pressurized gas into the ambient pressure tube. The high-pressure reservoir is filled with compressed air at a given overpressure with respect to ambient pressure (up to 8 bar). The pipe was either empty (i.e. with air at ambient conditions) or filled with a given amount of small particles. We adopted pipes an inner diameter of 4 cm and different lengths (20, 30 and 80 cm). We also considered different volumes of pressurized gas (~650 cm3 and ~1550 cm3). A pressure sensor has been placed at the vent of the conduit to record pressure variations during experiments. Images from the high speed camera were collected at a frame rate of 30000 fps.

When the valve is open, a jet flow is produced, with shock and acoustic waves propagating in the atmosphere, which become visible due to the high speed Schlieren shadow photography.
DOI: 10.2909/d0113336-97aa-4ce7-b3aa-cc324b6ac21d
title: NECPR: Progress to targets for energy efficiency (Annex IV) dataset, 2023

description: Progress to targets for energy efficiency is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member State's energy efficiency contributions and progress in achieving them. The EEA collects and quality checks this data. The dataset links to data from Eurostat regarding Primary Energy Consumption (PEC) and Final Energy Consumption (FEC) in the period of 2020-2030. 

This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex IV).
DOI: 10.15468/dl.j7w53k
title: Occurrence Download

description: A dataset containing 61852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is BSBI data from several English counties, up to 2018",
 "TaxonKey is Araceae"
 ]
}

 The dataset includes 61852 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077979-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re9v7t
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron prunifolium (Small) Millais"
 ]
}

 The dataset includes 45 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077980-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/14vsmxv2
title: Plants from Fort St. George India collected by Samuel Browne in 1697

description: Samuel Browne (d. 1698) was a surgeon employed by the English East India Company (EIC) at Fort St. George, Madras (now Chennai) in India. In 1697, Browne sent a herbarium of 316 specimens collected in and around Chennai to the EIC. Many of those specimens were accompanied with vernacular names, descriptions and notes on their properties and uses. Browne’s specimens were studied by James Petiver who published descriptions with Browne as co-author. Those descriptions made reference to polynomial names in many other published works. This dataset comprises the specimens included in the Browne herbarium with identifications for all specimens.

A paper describing this dataset by Prakash, R. O. et al (2024) can be found here: https://www.tandfonline.com/eprint/CZGKSJUBDFA687KPPI9H/full?target=10.1080/23818107.2023.2296095. Further to Prakash et al. (2024), the determinations have been further revised and are reflected in the portal.
DOI: 10.5281/zenodo.13361428
title: ENDGAME - Laboratory Experiment 2024-01-17 Exp. 024 - High Speed Camera data

description: Shock-tube experiments in combination with high speed Schlieren shadow photography. 

The shocktube setup consists of a high-pressure reservoir connected with a cylindrical tube through a diaphragm pulse valve which allows a fast release of pressurized gas into the ambient pressure tube. The high-pressure reservoir is filled with compressed air at a given overpressure with respect to ambient pressure (up to 8 bar). The pipe was either empty (i.e. with air at ambient conditions) or filled with a given amount of small particles. We adopted pipes an inner diameter of 4 cm and different lengths (20, 30 and 80 cm). We also considered different volumes of pressurized gas (~650 cm3 and ~1550 cm3). A pressure sensor has been placed at the vent of the conduit to record pressure variations during experiments. Images from the high speed camera were collected at a frame rate of 30000 fps.

When the valve is open, a jet flow is produced, with shock and acoustic waves propagating in the atmosphere, which become visible due to the high speed Schlieren shadow photography.
DOI: 10.5281/zenodo.13361429
title: ENDGAME - Laboratory Experiment 2024-01-17 Exp. 024 - High Speed Camera data

description: Shock-tube experiments in combination with high speed Schlieren shadow photography. 

The shocktube setup consists of a high-pressure reservoir connected with a cylindrical tube through a diaphragm pulse valve which allows a fast release of pressurized gas into the ambient pressure tube. The high-pressure reservoir is filled with compressed air at a given overpressure with respect to ambient pressure (up to 8 bar). The pipe was either empty (i.e. with air at ambient conditions) or filled with a given amount of small particles. We adopted pipes an inner diameter of 4 cm and different lengths (20, 30 and 80 cm). We also considered different volumes of pressurized gas (~650 cm3 and ~1550 cm3). A pressure sensor has been placed at the vent of the conduit to record pressure variations during experiments. Images from the high speed camera were collected at a frame rate of 30000 fps.

When the valve is open, a jet flow is produced, with shock and acoustic waves propagating in the atmosphere, which become visible due to the high speed Schlieren shadow photography.
DOI: 10.5519/qd.qo63exdm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (540 records)
DOI: 10.15468/dl.bnmffb
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((120.35277 -13.75579,156.64723 -13.75579,156.64723 0.75579,120.35277 0.75579,120.35277 -13.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Carlia diguliensis (Kopstein, 1926)",
 "Year 2004-2024"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077982-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/32
title: Extended train robots

description: Train Robots is a dataset of synthetic scenes of a robot arm picking up and putting down different objects together with natural language descriptions of these actions. These descriptions were obtained using Amazon Mechanical Turk. An extension to the original dataset includes two more shapes and an additional colour. Finally, the natural given descriptions are given in Arabic as well as English.
DOI: 10.15468/dl.mfw3e3
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((86.72199 -29.69848,235.27801 -29.69848,235.27801 29.69848,86.72199 29.69848,86.72199 -29.69848))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Emoia caeruleocauda (De Vis, 1892)",
 "Year 2004-2024"
 ]
}

 The dataset includes 331 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077983-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zw6sg
title: Occurrence Download

description: A dataset containing 10455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caretta caretta (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Geometry POLYGON ((-10 28, 38 28, 38 51, -10 51, -10 28))",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 10455 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077984-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26803876.v2
title: Inada_GCA

description: Python codes for "Theory of classical kinetic isotope effects in evaporation" by S. Inada, T. Hama, and S. Tachibana submitted to Geochimica et Cosmochimica Acta.
DOI: 10.6084/m9.figshare.26808055
title: SLR Tables.xlsx

description: This systematic literature review addresses a crucial knowledge gap in research concerning the practical implementation of a Deep Learning model within the construction industry. Cost prediction models aim to provide Main Contractors with a reliable means to accurately estimate construction project costs. This research gains paramount importance considering the industry’s persistent inefficiencies which exhibit detrimental ripple effects on global markets. By adopting a systematic literature review approach, we have uncovered significant challenges related to the integration of the above-said ML-cost models in construction projects. The research also highlights relevant limitations, both systemic, and structural, and elucidates unbiased perceptions of this technology from the viewpoint of the Main Contractor.
DOI: 10.6084/m9.figshare.26808055.v1
title: SLR Tables.xlsx

description: This systematic literature review addresses a crucial knowledge gap in research concerning the practical implementation of a Deep Learning model within the construction industry. Cost prediction models aim to provide Main Contractors with a reliable means to accurately estimate construction project costs. This research gains paramount importance considering the industry’s persistent inefficiencies which exhibit detrimental ripple effects on global markets. By adopting a systematic literature review approach, we have uncovered significant challenges related to the integration of the above-said ML-cost models in construction projects. The research also highlights relevant limitations, both systemic, and structural, and elucidates unbiased perceptions of this technology from the viewpoint of the Main Contractor.
DOI: 10.48366/r724494
title: A Comparison of Scientific Publications on the State of Empirical Research in Requirements Engineering and Software Engineering

description: This comparison provides an overview of scientific publications that have investigated primary studies in requirements engineering and software engineering to give a snapshot of the "current" state of empirical research in requirements engineering and software engineering. In particular, the comparison shows for each publication (1) which research fields and topics were investigated, (2) whether and where the extracted and analyzed data is available, and (3) which method was used to determine the state, including further details about the respective method.
DOI: 10.5517/ccdc.csd.cc1z49jy
title: CCDC 1821390: Experimental Crystal Structure Determination

description: Related Article: Andrea Gionda, Giovanni Macetti, Laura Loconte, Silvia Rizzato, Ahmed M. Orlando, Carlo Gatti, Leonardo Lo Presti|2018|RSC Advances|8|38445|doi:10.1039/C8RA08063A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.dc2vtr
title: Occurrence Download

description: A dataset containing 34950 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tabebuia Gomes"
 ]
}

 The dataset includes 34950 records from 634 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077985-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/rrxcr3/bjqfnv
title: wtr_215.G38_P3_T-G03.nsp-o566.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/eh5v0z
title: wtr_6.G38_P1_T-F01.nsp-o210.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/fdgtfz
title: wtr_8.G38_P1_T-H01.nsp-o20.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/hvk2rk
title: wtr_216.G38_ChP2_T-A02.nsp-o484.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/j78nvq
title: wtr_216.G38_P3_T-H03.nsp-o277.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/ksxrwj
title: wtr_6.G38_P1_T-F01.nsp-o402.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/lmte5w
title: wtr_216.G38_ChP2_T-A02.nsp-o693.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/lwlt2r
title: wtr_216.G38_ChP2_T-A02.nsp-o21.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/mwquxv
title: wtr_216.G38_P3_T-H03.nsp-o324.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/obgqdr
title: wtr_7.G38_P1_T-G01.nsp-o211.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/riqv3r
title: wtr_7.G38_P1_T-G01.nsp-o499.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/ujpnyi
title: wtr_7.G38_P1_T-G01.nsp-o403.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/wx7teh
title: wtr_215.G38_P3_T-G03.nsp-o707.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/xoamvp
title: wtr_6.G38_P1_T-F01.nsp-o18.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/zvrqjk
title: wtr_6.G38_P1_T-F01.nsp-o498.PMF.digested.fq.gz
DOI: 10.7910/dvn/vqcapp/tqdpqh
title: petitions.xlsx
DOI: 10.7910/dvn/4nbewr/bzoyso
title: petitions.xlsx
DOI: 10.7910/dvn/bavio6/h5g5r7
title: petitions.xlsx
DOI: 10.7910/dvn/bixpg1/f3whlq
title: petitions.xlsx
DOI: 10.7910/dvn/bse9ae/xh8r2i
title: petitions.xlsx
DOI: 10.7910/dvn/gvt3v2/gftiwa
title: petitions.xlsx
DOI: 10.7910/dvn/ikmkrs/grocuw
title: petitions.xlsx
DOI: 10.7910/dvn/lswobg/ziczs8
title: petitions.xlsx
DOI: 10.7910/dvn/nkbf1e/kbhnqr
title: petitions.xlsx
DOI: 10.7910/dvn/rrxcr3/3tn176
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DOI: 10.7910/dvn/rrxcr3/4aepgp
title: wtr_215.G38_P3_T-G03.nsp-o278.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/cwvtar
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DOI: 10.7910/dvn/rrxcr3/dxcfqi
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DOI: 10.7910/dvn/rrxcr3/dzc2ev
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DOI: 10.7910/dvn/rrxcr3/etqod8
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DOI: 10.7910/dvn/rrxcr3/fnh9w8
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DOI: 10.7910/dvn/rrxcr3/gnxc3z
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DOI: 10.7910/dvn/rrxcr3/og7vu8
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DOI: 10.7910/dvn/rrxcr3/pop7nb
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DOI: 10.7910/dvn/rrxcr3/qcnwsd
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DOI: 10.7910/dvn/rrxcr3/qctnkn
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DOI: 10.7910/dvn/rrxcr3/trmnml
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DOI: 10.7910/dvn/ysv9x2/pjmyfz
title: petitions.xlsx
DOI: 10.7910/dvn/4rokmp/ub9rjj
title: petitions.xlsx
DOI: 10.7910/dvn/8ewikw/2mny0t
title: petitions.xlsx
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title: petitions.xlsx
DOI: 10.7910/dvn/jy8i1o/a83bqp
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title: petitions.xlsx
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DOI: 10.7910/dvn/rrxcr3/o2ybrq
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DOI: 10.7910/dvn/rrxcr3/rcf8wn
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DOI: 10.7910/dvn/rrxcr3/usozva
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DOI: 10.7910/dvn/rrxcr3/vjsjvz
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DOI: 10.7910/dvn/x86b4k/dygkyd
title: petitions.xlsx
DOI: 10.7910/dvn/ynpfq8/akgxyg
title: petitions.xlsx
DOI: 10.7910/dvn/yuam0u/a49m5h
title: petitions.xlsx
DOI: 10.7910/dvn/3asgoe/atl6a0
title: petitions.xlsx
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title: petitions.xlsx
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DOI: 10.7910/dvn/mhyzly/knqq1j
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DOI: 10.7910/dvn/oywjvu/kdxslb
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DOI: 10.7910/dvn/poxyd8/tf1sud
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DOI: 10.7910/dvn/rrxcr3/5plq1f
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DOI: 10.7910/dvn/rrxcr3/faihxi
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DOI: 10.7910/dvn/rrxcr3/h7eyzk
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DOI: 10.7910/dvn/rrxcr3/o27zol
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DOI: 10.7910/dvn/rrxcr3/wlfg1a
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DOI: 10.7910/dvn/rrxcr3/x0qcqk
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DOI: 10.7910/dvn/rrxcr3/xkqk98
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DOI: 10.7910/dvn/xzzq7q/dub34j
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DOI: 10.7910/dvn/gvw7fs/x8ggca
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DOI: 10.7910/dvn/kurgjw/nhrvq8
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DOI: 10.7910/dvn/ljifbb/o4dezp
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DOI: 10.7910/dvn/nf0bb5/wkmy9v
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DOI: 10.7910/dvn/nw1i4l/v7e1ms
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DOI: 10.7910/dvn/ofthvn/dcurgh
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DOI: 10.7910/dvn/p0mtre/d9afxq
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DOI: 10.7910/dvn/rrxcr3/0qbe79
title: wtr_1.G38_ChP1_T-C09.nsp-o79.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/1mne9i
title: RP_Combined.RP_WTR_1_12.G38B_P1_1_T-D11.nsp-o217.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/bcpd2m
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DOI: 10.7910/dvn/rrxcr3/cqnuzx
title: RP_Combined.RP_WTR_1_12.G38B_P1_1_T-D11.nsp-o505.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/ditisy
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DOI: 10.7910/dvn/rrxcr3/fjfsge
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DOI: 10.7910/dvn/rrxcr3/fritt5
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DOI: 10.7910/dvn/rrxcr3/iougo0
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DOI: 10.7910/dvn/rrxcr3/n54w9r
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DOI: 10.7910/dvn/rrxcr3/n8avaa
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DOI: 10.7910/dvn/rrxcr3/rkvsve
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DOI: 10.7910/dvn/rrxcr3/ryoaym
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DOI: 10.7910/dvn/rrxcr3/vfjlht
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DOI: 10.7910/dvn/rrxcr3/vm2rwx
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DOI: 10.7910/dvn/rrxcr3/yuc3gd
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DOI: 10.7910/dvn/rrxcr3/z9rkuj
title: RP_Combined.RP_WTR_1_12.G38B_P1_1_T-D11.nsp-o25.PMF.digested.fq.gz
DOI: 10.7910/dvn/rrxcr3/zdlm7h
title: wtr_208.G38_P3_T-H02.nsp-o573.PMF.digested.fq.gz
DOI: 10.7910/dvn/vognza/kkv1hh
title: petitions.xlsx
DOI: 10.7910/dvn/8cjvrg/h63bu3
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DOI: 10.7910/dvn/chojc2/w8cebx
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DOI: 10.7910/dvn/dhzavv/wcmsrj
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DOI: 10.7910/dvn/f44ul5/wwjh5x
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DOI: 10.7910/dvn/lrg1ds/jw85jo
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DOI: 10.7910/dvn/ore6c4/gfao7o
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DOI: 10.7910/dvn/rrxcr3/446ick
title: RP_Combined.RP_WTR_1_12.G38B_P1_1_T-D08.nsp-o529.PMF.digested.fq.gz