cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6362321
title: West Coronation Island drone surveys 2022

description: DJI Phantom 4 Pro v2.0 drone surveys of : 1. northern Monroe Island (100mAGL, Map Pilot Professional transects) 2. northern Sandefjord Bay Skerries (100mAGL, Map Pilot Professional transects) 3. eastern Sandefjord Bay / Moreton Point (60/100mAGL, manual flight). NOTE: seaward images of the ortho are blurred at the northern end but readable from mid to southern end. All processed using Agisoft Metashape Professional v1.8.1 (Windows). Included PDF highlighs locations covered.
DOI: 10.6073/pasta/912d4da0d326da63d82e93de68ca5ad4
title: Leaf Area Index at Harvard Forest HEM and LPH Towers since 1998

description: Leaf area index (LAI) measurements are made to detect changes in forest leaf area that are important in understanding forests’ carbon dioxide (CO2) uptake and water use. Measurements of LAI in different forest types are useful understanding differences between forests in CO2 uptake and water use, while variation in LAI in the same forest type over time helps to explain interannual variation and long-term trends in carbon storage and water use. Within a single year, especially for deciduous forests, seasonal changes in LAI are very important in determining the forest’s cycle of CO2 uptake and water use. LAI measurements at Harvard Forest were begun in the old-growth hemlock stand in 1998 in order to understand and develop a predictive model for its carbon exchange, and were begun at the Little Prospect Hill site in 2002 to better understand CO2 uptake and carbon storage at this site, which were measured by the eddy-covariance method beginning in 2002. Due to a lack of personnel, multiple annual measurements of LAI to examine seasonal change in leaf area did not begin until 2007.
DOI: 10.6073/pasta/d363df319f12e2b337d08ff5e6ddf8c6
title: CO2 Profile at Harvard Forest HEM and LPH Towers since 2009

description: Carbon dioxide profile measurements are designed to supplement eddy flux measurements in calculating the carbon exchange of a forest. In the case of the Harvard Forest flux towers, the change in CO2 storage between the ground and the height of the eddy flux system during each half hour must be added to the eddy flux measured above the forest to determine the total carbon exchange. The profile measurements are also necessary in order to calculate CO2 movement by advection, or horizontal air transport. The amount of CO2 removed from a particular site by advection is the product of the total CO2 within the air a given range of height above the ground, and the average velocity of airflow parallel to the ground surface within that height range.
DOI: 10.5285/4db9112b-68c2-4a3e-82dc-e10568fb5b7d
title: X-ray fluorescence (XRF) data from IODP site U1534

description: Dataset is comprised of X-ray fluorescence (XRF) data from sediments from International Ocean Discovery Program (IODP) Expedition 382, Site U1534, South Falkland Sediment Drift, 53.18967 S, 58.76083 W (605 m water depth). The sediment cores were collected from 3 holes using the advanced piston corer onboard RV Joides Resolution from site U1534 between 29/03/2019 and 02/04/2019. XRF data was collected using the XRF Core Scanner III (AVAATECH Serial No. 12) at the XRF Core Scanner Lab at the MARUM (Center for Marine Environmental Sciences, University of Bremen, Germany), March-May 2021. The data were collected as part of a project aiming to investigate the sensitivity of the Atlantic Meridional Overturning Circulation to variability in Pacific-Atlantic connectivity via the 'cold water route'. Dr Victoria Louise Peck was the principle investigator for this project. Funding provided by NERC UKIODP moratorium grant NE/T010908/1
description: The archive half of cores from the upper 83 m composite depth splice of IODP Site U1534. Depth is composite core depth (below sea floor) based on splicing of ship-board physical properties from 3 adjacent holes within 20 m of each other. Splice information is available here LIMS Online Report Portal (tamu.edu) XRF Core Scanner data were collected every 2 cm down-core over a 1.2 cm2 area with down-core slit size of 10 mm. Three runs were made with three different settings, each with a sampling time of 8 seconds directly at the split core surface. Run 1 using generator settings of 50 kV with a current of 0.5 mA, run 2 at 30 kV with a current of 0.6 mA and run 3 at 10 kV with a current of 0.05 mA. The split core surface was covered with a 4 micron thin SPEXCerti Prep Ultralene1 foil to avoid contamination of the XRF measurement unit and desiccation of the sediment. Data was collected using the XRF Core Scanner III (AVAATECH Serial No. 12) at the XRF Core Scanner Lab at the MARUM - Center for Marine Environmental Sciences, University of Bremen, Germany. The data have been acquired by a SGX Sensortech Silicon Drift Detector (Model SiriusSD® D65133Be-INF with 133eV X-ray resolution), the Topaz-X High-Resolution Digital MCA, and an Oxford Instruments 100W Neptune X-Ray tube with rhodium (Rh) target material. Raw data spectra were processed by the analysis of X-ray spectra by Iterative Least square software (WIN AXIL) package from Canberra Eurisys.
description: Data quality check of processed data at MARUM XRF Core Scanner Lab: Data from listed elements are reliable for scientific publication 1st run: Br*,Rb*,Sr*,Zr*, Ba 2nd run: Br, Rb, Sr, Zr, Pb** 3rd run: Al, Si, S, K, Ca, Ti, Mn, Fe, P*** Data from listed elements are NOT reliable for scientific publication 1st run: Mo, Ag, Ca, Sn, Te 2nd run: Ni, Cu, Zn, Ga, Nb, Mo, Bi 3rd run: Mg, Rh, Cl, Cr, (P) Notes; Br*,Rb*,Sr*,Zr*: better in 30 kV run; Pb**: higher peaks might be ok; P***: validate high peaks with different method
DOI: 10.35111/66b0-j250
title: AttImam

description: <h3>Introduction</h3><br>
<p>AttImam was developed by <a href="https://imamu.edu.sa/en/Pages/default.aspx">Al-Imam Mohammad Ibn Saud Islamic University</a> and consists of approximately 2,000 attribution relations applied to Arabic newswire text from <a href="../../../LDC2010T13">Arabic Treebank: Part 1 v 4.1 (LDC2010T13)</a>. Attribution refers to the process of reporting or assigning an utterance to the correct speaker.</p><br>
<h3>Data</h3><br>
<p>The source Arabic newswire was collected by the Linguistic Data Consortium from Agence France Presse articles published in 2000. Annotation was performed by two native Arabic speakers. Each file has the following four elements:</p><br>
<ul><br>
<li>Cue: the lexical anchor that connects the source with the content.</li><br>
<li>Source: the entity or the agent that owns the content.</li><br>
<li>Content: the basic element expressing the claim or the reported news.</li><br>
<li>General Features: these can include such features as attribution style (direct or indirect), determinacy (factual or non-factual), and purpose (e.g., assertion, expression).</li><br>
</ul><br>
<p>The corpus contains 532 files in UTF-8 encoded plain text. Also included are annotation guidelines and the ESNAD (Extracting Sentence Attribution in Arabic Discourse) annotation tool.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2022T02.txt">sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p></br>
Portions © 2000 Agence France Presse, © 2022 Amal S. Alsaif, © 2003, 2005, 2010, 2022 Trustees of the University of Pennsylvania
DOI: 10.5281/zenodo.5779063
title: Twitter hashtags time series used in the paper "Universality, criticality and complexity of information propagation in social media"

description: <pre>These files contain the time series and the associated hashtags we obtained by sampling Twitter for our paper "Universality, criticality and complexity of information propagation on social media". The analysis is reported in https://www.nature.com/articles/s41467-022-28964-8 Please acknowledge the use of these data by citing the paper above. ################################# ################################# DATA ORGANIZATION We created a single zip file with all the time series and a single zip file with all the hashtags. There is a one-to-one correspondence between lines in the two files. ################################# ################################# FILES CONTENT As stated, here is a one-to-one correspondence between lines in the time series file and lines in the hashtags file, i.e., the hashtag stored in line X is the hashtag of the time series stored in line X. Time series are stored as follows: Ka t1 t2 t3 \n Kb t1 t2 t3 t4 t5 \n . . . Kn t1 t2 \n where: Ka, Kb,..., Kn is an integer specifying the number of events that compose the time series a, b,..., n respectively. In the example above we would have Ka=3, Kb=5, Kn=2. t1 t2 ... is the time series, i.e., a sequence of chronologically ordered interevent times. The last interevent time, in our implementation, represents the distance between the end of the temporal window and the last event time. It thus does not represent an event. As stated in the Supplemental Material of our paper, the temporal window ranges from 2019, October 1st to 2019, November 30th. </pre>
DOI: 10.5281/zenodo.5708920
title: Twitter hashtags time series used in the paper "Universality, criticality and complexity of information propagation in social media"

description: <pre>These files contain the time series and the associated hashtags we obtained by sampling Twitter for our paper "Universality, criticality and complexity of information propagation on social media". The analysis is reported in https://www.nature.com/articles/s41467-022-28964-8 Please acknowledge the use of these data by citing the paper above. ################################# ################################# DATA ORGANIZATION We created a single zip file with all the time series and a single zip file with all the hashtags. There is a one-to-one correspondence between lines in the two files. ################################# ################################# FILES CONTENT As stated, here is a one-to-one correspondence between lines in the time series file and lines in the hashtags file, i.e., the hashtag stored in line X is the hashtag of the time series stored in line X. Time series are stored as follows: Ka t1 t2 t3 \n Kb t1 t2 t3 t4 t5 \n . . . Kn t1 t2 \n where: Ka, Kb,..., Kn is an integer specifying the number of events that compose the time series a, b,..., n respectively. In the example above we would have Ka=3, Kb=5, Kn=2. t1 t2 ... is the time series, i.e., a sequence of chronologically ordered interevent times. The last interevent time, in our implementation, represents the distance between the end of the temporal window and the last event time. It thus does not represent an event. As stated in the Supplemental Material of our paper, the temporal window ranges from 2019, October 1st to 2019, November 30th. </pre>
DOI: 10.35111/1ybt-zq79
title: HAVIC MED Novel 1 Test -- Videos, Metadata and Annotation

description: <h3>Introduction</h3><br>
<p>HAVIC MED Novel 1 Test -- Videos, Metadata and Annotation was developed by the Linguistic Data Consortium (LDC) and is comprised of approximately 3,800 hours of user-generated videos with annotation and metadata.</p><br>
<p>To advance multimodal event detection and related technologies, LDC developed, in collaboration with <a href="https://www.nist.gov/">NIST</a> (the National Institute of Standards and Technology), a large, heterogeneous, annotated multimodal corpus for <a href="https://www.ldc.upenn.edu/collaborations/past-projects/havic">HAVIC</a> (the Heterogeneous Audio Visual Internet Collection) that was used in the NIST-sponsored <a href="https://www.nist.gov/itl/iad/mig/trecvid-multimedia-event-detection-evaluation-track">MED</a> (Multimedia Event Detection) task for several years. HAVIC MED Novel 1 Test is a subset of that corpus, specifically, a collection of videos, metadata and annotation for the HAVIC project originally released to support the <a href="https://www.nist.gov/itl/iad/mig/med-2015-evaluation">2015</a> Multimedia Event Detection tasks.</p><br>
<h3>Data</h3><br>
<p>The data consists of videos of various events (event videos) and videos completely unrelated to events (background videos) harvested by a large team of human annotators. Each event video was manually annotated with a set of judgments describing its event properties and other salient features. Background videos were labeled with topic and genre categories.</p><br>
<p>All video files are in .mp4 format (h.264), with varying bit-rates and levels of audio fidelity and video resolution. Metadata and annotation for the videos are stored in a .tsv file.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2022V01.mp4">video sample</a>.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p><br>
<h3>Additional Licensing Instructions</h3><br>
<p>This 'members-only' corpus is available to current members. Contact <a href="mailto:ldc@ldc.upenn.edu">ldc@ldc.upenn.edu</a> for information about becoming a member.</p></br>
Portions © 2011-2016 YouTube, LLC, © 2011-2016, 2022 Trustees of the University of Pennsylvania
DOI: 10.6084/m9.figshare.19376048.v1
title: COX-2 EXPRESSION TREATMENT GROUP 3rd DAY

description: COX-2 EXPRESSION TREATMENT GROUP 3rd DAY
DOI: 10.6084/m9.figshare.19376048
title: COX-2 EXPRESSION TREATMENT GROUP 3rd DAY

description: COX-2 EXPRESSION TREATMENT GROUP 3rd DAY
DOI: 10.6084/m9.figshare.19376063
title: COX-2 EXPRESSION CONTROL GROUP 3th DAY

description: COX-2 EXPRESSION CONTROL GROUP 3th DAY
DOI: 10.6084/m9.figshare.19376063.v1
title: COX-2 EXPRESSION CONTROL GROUP 3th DAY

description: COX-2 EXPRESSION CONTROL GROUP 3th DAY
DOI: 10.6084/m9.figshare.19376066
title: COX-2 EXPRESSION TREATMENT GROUP 6th DAY

description: COX-2 EXPRESSION TREATMENT GROUP 6th DAY
DOI: 10.6084/m9.figshare.19376066.v1
title: COX-2 EXPRESSION TREATMENT GROUP 6th DAY

description: COX-2 EXPRESSION TREATMENT GROUP 6th DAY
DOI: 10.5281/zenodo.5728036
title: Diplomados em Design em Portugal (2002-2020)

description: Base de dados agrega informação sobre diplomados em design em Portugal (2002-2020), recolhidos a partir da Direção Geral da Estatística da Educação e Ciência (DGEEC). Contém informações detalhadas sobre o nome das escolas de design, a sua localização geográfica (por distrito e NUT II), cursos na área e diplomados (H/M), por ano. A base de dados é desenvolvido no âmbito do projeto Design Obs. Para um Observatório de Design em Portugal: Modelos, Instrumentos, Representação e Estratégias (www.designobs.pt), cofinanciado pelo Programa Operacional Regional de Lisboa (LISBOA 2020) e o Programa Operacional Competitividade e Internacionalização (POCI-01-0145-FEDER-032445), através do Portugal 2020 e do Fundo Europeu de Desenvolvimento Regional (FEDER) e por fundos nacionais através da FCT – Fundação para a Ciência e a Tecnologia.
DOI: 10.5281/zenodo.5728035
title: Diplomados em Design em Portugal (2002-2020)

description: Base de dados agrega informação sobre diplomados em design em Portugal (2002-2020), recolhidos a partir da Direção Geral da Estatística da Educação e Ciência (DGEEC). Contém informações detalhadas sobre o nome das escolas de design, a sua localização geográfica (por distrito e NUT II), cursos na área e diplomados (H/M), por ano. A base de dados é desenvolvido no âmbito do projeto Design Obs. Para um Observatório de Design em Portugal: Modelos, Instrumentos, Representação e Estratégias (www.designobs.pt), cofinanciado pelo Programa Operacional Regional de Lisboa (LISBOA 2020) e o Programa Operacional Competitividade e Internacionalização (POCI-01-0145-FEDER-032445), através do Portugal 2020 e do Fundo Europeu de Desenvolvimento Regional (FEDER) e por fundos nacionais através da FCT – Fundação para a Ciência e a Tecnologia.
DOI: 10.6084/m9.figshare.19376069
title: COX-2 EXPRESSION CONTROL GROUP 6th DAY

description: COX-2 EXPRESSION CONTROL GROUP 6th DAY
DOI: 10.6084/m9.figshare.19376069.v1
title: COX-2 EXPRESSION CONTROL GROUP 6th DAY

description: COX-2 EXPRESSION CONTROL GROUP 6th DAY
DOI: 10.5281/zenodo.5727951
title: Bibliografia dos doutoramentos em design

description: A partir da Base de dados "Doutoramentos em Design Realizados em Portugal (2001-2020)" extraíram-se as referências encontradas em, pelo menos, duas teses diferentes. Esta lista de aproximadamente 19.000 linhas, contém informação sobre o(s) autor(es) e co autor(es), ano e tipologia da referência (ex. artigo, livro, capítulo). Também identifica as referências com (co)autores portugueses. A base de dados permite, por exemplo, consultar que autores e respectivas obras são mais referenciadas, por ano de doutoramento e por área de especialização dentro do design. Base de dados desenvolvida no âmbito do projeto Design Obs. Para um Observatório de Design em Portugal: Modelos, Instrumentos, Representação e Estratégias (www.designobs.pt), cofinanciado pelo Programa Operacional Regional de Lisboa (LISBOA 2020) e o Programa Operacional Competitividade e Internacionalização (POCI-01-0145-FEDER-032445), através do Portugal 2020 e do Fundo Europeu de Desenvolvimento Regional (FEDER) e por fundos nacionais através da FCT – Fundação para a Ciência e a Tecnologia.
DOI: 10.5281/zenodo.5727950
title: Bibliografia dos doutoramentos em design

description: A partir da Base de dados "Doutoramentos em Design Realizados em Portugal (2001-2020)" extraíram-se as referências encontradas em, pelo menos, duas teses diferentes. Esta lista de aproximadamente 19.000 linhas, contém informação sobre o(s) autor(es) e co autor(es), ano e tipologia da referência (ex. artigo, livro, capítulo). Também identifica as referências com (co)autores portugueses. A base de dados permite, por exemplo, consultar que autores e respectivas obras são mais referenciadas, por ano de doutoramento e por área de especialização dentro do design. Base de dados desenvolvida no âmbito do projeto Design Obs. Para um Observatório de Design em Portugal: Modelos, Instrumentos, Representação e Estratégias (www.designobs.pt), cofinanciado pelo Programa Operacional Regional de Lisboa (LISBOA 2020) e o Programa Operacional Competitividade e Internacionalização (POCI-01-0145-FEDER-032445), através do Portugal 2020 e do Fundo Europeu de Desenvolvimento Regional (FEDER) e por fundos nacionais através da FCT – Fundação para a Ciência e a Tecnologia.
DOI: 10.6073/pasta/b8b294fa83ac1542b3a8152e6524e301
title: Year 2019-2021, 15 minute measurements of stage, water temperature in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.

description: Year 2019, 2020, and 2021 continuous measurements, every 15 minutes, were made of stage, water temperature in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland) in the Parker River watershed. Discharge is determined from stage using discharge vs stage regressions.
DOI: 10.6084/m9.figshare.19376078
title: NEUTROPHIL COUNT CONTROL GROUP 3rd DAY

description: NEUTROPHIL COUNT CONTROL GROUP 3rd DAY
DOI: 10.6084/m9.figshare.19376078.v1
title: NEUTROPHIL COUNT CONTROL GROUP 3rd DAY

description: NEUTROPHIL COUNT CONTROL GROUP 3rd DAY
DOI: 10.6084/m9.figshare.19376075
title: NEUTROPHIL COUNT TREATMENT GROUP 3rd DAY

description: NEUTROPHIL COUNT TREATMENT GROUP 3rd DAY
DOI: 10.6084/m9.figshare.19376075.v1
title: NEUTROPHIL COUNT TREATMENT GROUP 3rd DAY

description: NEUTROPHIL COUNT TREATMENT GROUP 3rd DAY
DOI: 10.5281/zenodo.6331613
title: CaptuRING and scanned wood core samples

description: Wood samples in digitized cores with CaptuRING (CR_ in files) and scanned with Epson 750VPRO (scan_) for sample digitization comparison. Species: <em>Fagus sylvatica </em>(FS) <em>Quercus faginea </em>(QF) <em>Quercus ilex </em>(QI) <em>Quercus pyrenaica </em>(QY) <em>Juniperus cedrus </em>(JC) <em>Juniperus thurifera </em>(JT) <em>Pinus nigra </em>(PN) <em>Pinus pinaster </em>(PP) Graphical scale was fitted with empirical values for CR samples, and theoretical resolution value in scanning software for scanned ones.
description: Founded by Spanish Ministry of Science (CGL2017-87309-P and PROWARM PID2020-118444GA-I00, Junta de Castilla y León (OUTBREAK VA171P20 and IR2020-1-UVA08) and UPM (RP200060107). Catedra de Conocimiento e Innovación Caja Rural de Soria - Universidad de Valladolid
DOI: 10.6084/m9.figshare.19376081
title: NEUTROPHIL COUNT TREATMENT GROUP 6th DAY

description: NEUTROPHIL COUNT TREATMENT GROUP 6th DAY
DOI: 10.6084/m9.figshare.19376081.v1
title: NEUTROPHIL COUNT TREATMENT GROUP 6th DAY

description: NEUTROPHIL COUNT TREATMENT GROUP 6th DAY
DOI: 10.6073/pasta/7317c175c52c95c5f02eed3c70dc7e4e
title: Microclimate at Harvard Forest HEM, LPH and EMS Towers since 2005

description: Microclimatic data are collected continuously within footprint areas of the flux towers in order to (1) understand relationships between climatic and microclimatic conditions and carbon dioxide and water vapor exchange between forest and atmosphere, (2) to develop predictive models for the exchange rates of these gases, based on microclimate data, (3) detect long-term trends in climate and microclimate at the sites and (4) determine whether the response of carbon dioxide and water vapor exchange processes to climate or microclimate is changing over time. The primary climatic and microclimatic variables measured at these sites include: above-canopy photosynthetically active radiation (PAR), forest understory PAR at 1 m height, total net radiation exchange measured above the forest canopy, air temperature and relative humidity above the forest canopy, forest understory air temperature at 20 cm and 1 m above ground level (shielded but not ventilated thermocouple sensors, used only to estimate nighttime understory air temperature), soil temperature at 10 cm depth, and soil moisture.
DOI: 10.6084/m9.figshare.19376084
title: NEUTROPHIL COUNT CONTROL GROUP 6th DAY

description: NEUTROPHIL COUNT CONTROL GROUP 6th DAY
DOI: 10.6084/m9.figshare.19376084.v1
title: NEUTROPHIL COUNT CONTROL GROUP 6th DAY

description: NEUTROPHIL COUNT CONTROL GROUP 6th DAY
DOI: 10.6084/m9.figshare.19376093.v1
title: DATA RECAPITULATION

description: Data recapitulation Cox-2 expression and Neutrophil counts on third and sixth day in treatment and control group.
DOI: 10.6084/m9.figshare.19376093
title: DATA RECAPITULATION

description: Data recapitulation Cox-2 expression and Neutrophil counts on third and sixth day in treatment and control group.
DOI: 10.5281/zenodo.6365668
title: Is switchgrass good for carbon savings? Long-term results in marginal land Running title: Switchgrass SOC storage capacity in marginal land Walter Zegada-Lizarazu 1, Federica Zanetti 1, Nicola Di Virgilio 2, Andrea Monti 1 1Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 44 – 40127, Bologna, Italy; 2CNR, Institute for the BioEcononomy, National Research Council of Italy, Via P Gobetti 101, I-40129 Bologna, Italy

description: Growing switchgrass in marginal land can be a valuable option to mitigate the risk of agricultural land abandonment whilst storing a significant amount of soil C. It was found a significant increase in SOC in a 13-years period. A significant positive correlation was observed between the C derived from switchgrass and SOC gain (the estimated switchgrass derived C was 12.7 Mg C ha<sup>-1</sup>). The increased SOC along the field, however, was patchy, with the highest increments registered in the center of the field, while the lowest ones in the top and bottom of the hill.