cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6685094
title: Not Only Systemin Prosystemin Harbors Other Active Regions Able to Protect Tomato Plants

description: Prosystemin is a 200-amino acid precursor expressed in Solanaceae plants which releases at the C-terminal part a peptidic hormone called Systemin in response to wounding and herbivore attack. We recently showed that Prosystemin is not only a mere scaffold of Systemin but, even when deprived of Systemin, is biologically active. These results, combined with recent discoveries that Prosystemin is an intrinsically disordered protein containing disordered regions within its sequence, prompted us to investigate the N-terminal portions of the precursor, which contribute to the greatest disorder within the sequence. To this aim, PS1-70 and PS1-120 were designed, produced, and structurally and functionally characterized. Both the fragments, which maintained their intrinsic disorder, were able to induce defense-related genes and to protect tomato plants against <em>Botrytis cinerea</em> and <em>Spodoptera littoralis</em> larvae. Intriguingly, the biological activity of each of the two N-terminal fragments and of Systemin is similar but not quite the same and does not show any toxicity on experimental non-targets considered. These regions account for different anti-stress activities conferred to tomato plants by their overexpression. The two N-terminal fragments identified in this study may represent new promising tools for sustainable crop protection.
DOI: 10.34681/te2e-5s03
title: Adoption and Foster Care Analysis and Reporting System (AFCARS), Adoption File 2019

description: The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision.  AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site. AFCARS reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.
DOI: 10.5281/zenodo.6686122
title: Documentation and digital files in support of "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938-2021" by Carl Tape and Anthony Lomax: Part A

description: These files support a paper entitled "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938–2021," by Carl Tape and Anthony Lomax, published in Journal of Geophysical Research Solid Earth. This collection contains Part A. A separate collection contains Parts, B, C, and D. This research was supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number G19AP00050.
DOI: 10.5281/zenodo.6330285
title: Documentation and digital files in support of "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938-2021" by Carl Tape and Anthony Lomax: Part A

description: These files support a paper entitled "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938–2021," by Carl Tape and Anthony Lomax, published in Journal of Geophysical Research Solid Earth. This collection contains Part A. A separate collection contains Parts, B, C, and D. This research was supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number G19AP00050.
DOI: 10.34681/5023-da24
title: Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File 2019

description: The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision.

AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb).

AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.
DOI: 10.5281/zenodo.6686182
title: Ivindomyrus opdenboschi decontaminated gx

description: .
DOI: 10.5281/zenodo.6686181
title: Ivindomyrus opdenboschi decontaminated gx

description: .
DOI: 10.34681/9wtj-h578
title: Adoption and Foster Care Analysis and Reporting System (AFCARS), Foster Care File 2018

description: The Adoption and Foster Care Analysis and Reporting System (AFCARS) is a federally mandated data collection system intended to provide case specific information on all children covered by the protections of Title IV-B/E of the Social Security Act (Section 427). Under the final AFCARS’ rule, states are required to collect data on all adopted children who are placed by the state’s child welfare agency or by private agencies under contract with the public child welfare agency. States are encouraged to report other private adoptions not involving the public welfare agency that are finalized in the state as well. In addition, states are required to collect data on all children in foster care for whom the state child welfare agency has responsibility for placement, care, or supervision.

AFCARS was designed to address policy development and program management issues at both the state and federal levels. The data are also useful for researchers interested in analyzing aspects of the United States' foster care and adoption programs. Tables and other reports summarizing the AFCARS data are available from the Children's Bureau Web site (https://www.acf.hhs.gov/cb).

AFCARS’ reporting periods extend from October 1 to September 30 of the following year. The National Data Archive on Child Abuse and Neglect distributes two data files for each fiscal year; one file contains adoption data and the other foster care data. Each adoption data file contains 37 elements that provide information on the adopted child’s gender, race, birth date, ethnicity and prior relationship with the adoptive parents. The date the adoption was finalized, as well as dates parental rights were terminated, characteristics of birth and adoptive parents, and whether the child was placed from within the United States or from another country are also captured. The foster care data files contain 66 elements that provide information on child demographics including gender, birth date, race, and ethnicity. Information about the number of previous stays in foster care, service goals, availability for adoption, dates of removal and discharge, funding sources, and the biological and foster parents is also included in the foster care files.
DOI: 10.25625/ge5pbg/8fboao
title: MMP.JD.2022_EFForTS.canopy.arthropods_abundance.bodymass.bodysize.stableisotopes.trophics.csv

description: :unav
DOI: 10.25625/ge5pbg/vtle3h
title: MMP.JD.2022_EFForTS.canopy.arthropods_abundance.bodymass.bodysize.stableisotopes.trophics_variable description.tab

description: :unav
DOI: 10.6084/m9.figshare.20124137
title: Estrategias de orientación cognitiva (intrapersonales)

description: Se presentan extractos de las voces de los niños y niñas, referentes al uso de estrategias de orientación cognitiva intrapersonal
DOI: 10.6084/m9.figshare.20124137.v1
title: Estrategias de orientación cognitiva (intrapersonales)

description: Se presentan extractos de las voces de los niños y niñas, referentes al uso de estrategias de orientación cognitiva intrapersonal
DOI: 10.25625/ge5pbg
title: MMP.JD.2022_EFForTS.canopy.arthropods_abundance.bodymass.bodysize.stableisotopes.trophics

description: EFForTS Canopy Arthropod Trophic Ecology: Abundances, bulk stable isotope measurements, body sizes, body masses, trophic guilds and feeding preferences of 17 taxa of canopy arthropoda collected in dry season 2013 and rainy season 2014 in 32 EFForTS research plots in Jambi Province, Sumatra, Indonesia
DOI: 10.5281/zenodo.6686031
title: Data_The impact of derivatives use on systemic risk of Africa's banking system

description: This file contains the data supporting the findings of our study, the impact of derivatives use on systemic risk of Africa’s banking system, including that generated by transforming original variables before performing relevant data analyses and other output data describing the systemic risk prevalence of banks in Africa.
DOI: 10.5281/zenodo.6686030
title: Data_The impact of derivatives use on systemic risk of Africa's banking system

description: This file contains the data supporting the findings of our study, the impact of derivatives use on systemic risk of Africa’s banking system, including that generated by transforming original variables before performing relevant data analyses and other output data describing the systemic risk prevalence of banks in Africa.
DOI: 10.21985/n2-2jq3-v278
title: test
DOI: 10.5517/ccdc.csd.cc2b8380
title: CCDC 2152741: Experimental Crystal Structure Determination

description: Related Article: Despoina Varna, Elena Geromichalou, Antonios G. Hatzidimitriou, Rigini Papi, George Psomas, Panagiotis Dalezis, Paraskevas Aslanidis, Theodora Choli-Papadopoulou, Dimitrios T. Trafalis, Panagiotis A. Angaridis|2022|Dalton Trans.|51|9412|doi:10.1039/D2DT00793B
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: 10.5281/zenodo.6686269
title: Urophycis floridana decontaminated gx

description: .
DOI: 10.5281/zenodo.6686268
title: Urophycis floridana decontaminated gx

description: .
DOI: 10.5517/ccdc.csd.cc2bhbls
title: CCDC 2159695: Experimental Crystal Structure Determination

description: Related Article: Cecilia Lete, Diana Visinescu, Sergiu Shova, Catalin Maxim, Maria-Gabriela Alexandru|2022|J.Solid State Chem.|313|123292|doi:10.1016/j.jssc.2022.123292
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: 10.5517/ccdc.csd.cc2bhbmt
title: CCDC 2159696: Experimental Crystal Structure Determination

description: Related Article: Cecilia Lete, Diana Visinescu, Sergiu Shova, Catalin Maxim, Maria-Gabriela Alexandru|2022|J.Solid State Chem.|313|123292|doi:10.1016/j.jssc.2022.123292
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: 10.5281/zenodo.6686281
title: Papilio gigon decontaminated gx

description: .
DOI: 10.5281/zenodo.6686280
title: Papilio gigon decontaminated gx

description: .
DOI: 10.5281/zenodo.6685254
title: Extended conformational states dominate the Hsp90 chaperone dynamics

description: aMD and cgMD simulation trajectories for publication "Extended conformational states dominate the Hsp90 chaperone dynamics"<br> Jussupow et al. doi: 10.1016/j.jbc.2022.102101
DOI: 10.5281/zenodo.6685253
title: Extended conformational states dominate the Hsp90 chaperone dynamics

description: aMD and cgMD simulation trajectories for publication "Extended conformational states dominate the Hsp90 chaperone dynamics"<br> Jussupow et al. doi: 10.1016/j.jbc.2022.102101
DOI: 10.5281/zenodo.6686302
title: Harpagus bidentatus decontaminated gx

description: .
DOI: 10.5281/zenodo.6686301
title: Harpagus bidentatus decontaminated gx

description: .
DOI: 10.5066/p9vpa5dw
title: Seawater chemistry and physical property profiling using CDT casts above two seafloor pockmarks on the Miami Terrace offshore of southeastern Florida, 2016

description: In the Atlantic Ocean and above the Miami Terrace off southeastern Florida, a total of nine CTD (conductivity, temperature, and depth) casts were performed using the 115-foot Research Vessel (R/V) Weatherbird II above the submerged Miami Terrace at the Miami pockmark and Key Biscayne pockmark from May 4 to May 8, 2016. A CTD is a package of electronic instruments and sampling devices that measure conductivity, temperature, and depth but also capable of measuring multiple chemical and physical parameters of the seawater column. A CTD cast measures the various seawater parameters while the package is lowered and raised in one or more cycles from onboard a ship as it drifts with an ocean current or steams along a predetermined transect. [...]
DOI: 10.5281/zenodo.6686275
title: Family-School Relations SLR

description: Systematic Literature Review to analyze the importance of having good relations between families and schools.
DOI: 10.5281/zenodo.6686274
title: Family-School Relations SLR

description: Systematic Literature Review to analyze the importance of having good relations between families and schools.
DOI: 10.5281/zenodo.6686336
title: Trisopterus luscus decontaminated gx

description: .
DOI: 10.5281/zenodo.6686335
title: Trisopterus luscus decontaminated gx

description: .
DOI: 10.21985/n2-n7k1-5g46
title: army ant reconstructions
DOI: 10.5281/zenodo.6686387
title: Cathorops multiradiatus RB0728 decontaminated gx

description: .
DOI: 10.5281/zenodo.6686386
title: Cathorops multiradiatus RB0728 decontaminated gx

description: .
DOI: 10.5281/zenodo.6603771
title: Frankenstein fits

description: Frankenstein brightness profiles, visibility fits and pseudo-2D images for interferometric datasets. Current datasets are: - Taurus survey: 10 disks (Jennings et al. accepted - arxiv) - DSHARP survey: 20 disks (Jennings et al. 2022 - ADS) The <em>.fits</em> pseudo-2D image of each frank brightness profile is reprojected according to the source geometry (inclination, PA) given in the header of the corresponding <em>*_brightness_profile.txt </em>file. The <em>.fits</em> image centers the profile at (dRA, dDec) = (0, 0). Please cite the linked paper if using fits from that work, thanks! Frankenstein is on GitHub and Read the Docs.
DOI: 10.6084/m9.figshare.20124131
title: Point cloud data from CN-DIN

description: This research was conducted at the Dinghushan forest ecosystem research station (CN-DIN). This station, surrounded by coniferous and broad-leaved mixed forests, occupies the core area of the Dinghushan nature reserve located in Zhaoqing, Guangdong Province, China. DJI Matrice 600 Pro six-rotor UAV, used as the flight platform. Equipped with a LiAir V LiDAR system, it relies on the global navigation satellite system (GNSS) ground-based station to carry out system positioning.
DOI: 10.6084/m9.figshare.20124131.v1
title: Point cloud data from CN-DIN

description: The experimental equipment included a DJI Matrice 600 Pro six-rotor UAV, used as the flight platform. Equipped with a LiAir V LiDAR system, it relies on the global navigation satellite system (GNSS) ground-based station to carry out system positioning.
DOI: 10.6084/m9.figshare.20125088
title: Estrategias de orientación cognitiva (interpersonales)

description: La tabla muestra algunos ejemplos de las voces de los niños con respecto a las estrategias de orientación cognitiva que emplean en la gestión de sus estados emocionales
DOI: 10.6084/m9.figshare.20125088.v1
title: Estrategias de orientación cognitiva (interpersonales)

description: La tabla muestra algunos ejemplos de las voces de los niños con respecto a las estrategias de orientación cognitiva que emplean en la gestión de sus estados emocionales
DOI: 10.5281/zenodo.6686422
title: Alethe castanea decontaminated gx

description: .
DOI: 10.5281/zenodo.6686421
title: Alethe castanea decontaminated gx

description: .
DOI: 10.5281/zenodo.5793118
title: Gravity Wave Morphology During the 2018 Sudden Stratospheric Warming Simulated by a Whole Neutral Atmosphere General Circulation Model

description: This dataset includes a complete set of raw data, metadata and saved session data which is necessary for re-producing figures in a paper entitled "Gravity Wave Morphology During the 2018 Sudden Stratospheric Warming Simulated by a Whole Neutral Atmosphere General Circulation Model" submitted to the Journal of Geophysical Research - Atmosphere.
DOI: 10.5281/zenodo.6686176
title: Optimizing Nozzle Travel Time in Proton Therapy [Dataset]

description: Dataset of instances taken into account by the paper, together with solutions and achieved computational time. Manuscript submitted to 2022 IEEE-CBMS. <em>ABSTRACT - Proton therapy is an oncological therapy that is more expensive than classical radiotherapy but that is considered the gold standard in several situations. Moreover, since there is still a limited amount of delivering facilities for this techniques, it is fundamental to increase the number of treated patients over time.<br> The objective of this work is to offer an insight on the problem of the optimization of the part of the delivery time of a treatment plan that relates to the movements of the system. We denote it as the Nozzle Travel Time Problem (NTTP), in analogy with the Leaf Travel Time Problem (LTTP) in classical radiotherapy.<br> In particular this work: (i) describes a mathematical model for the delivery system and formalize the optimization problem for finding the optimal sequence of movements of the system (nozzle and bed) that satisfies the covering of the prescribed irradiation directions; (ii) provides an optimization pipeline that solves the problem for instances with an amount of irradiation directions much greater than those usually employed in the clinical practice; (iii) reports preliminary results about the effects of employing two different resolution strategies within the aforementioned pipeline, that rely on an exact Traveling Salesmna Problem (TSP) solver (Concorde) and an efficient heuristic Vehicle Routing Open-source Optimization Machine (VROOM).</em> For each combination of system features (SF1, SF2, SF3) and distance metric (L1 and Linf), 50 runs (5 session by 10 runs) with prescribed fields from 5 to 100 (step 5) have been executed. - 'grph' folder contains GTSP and ATSP instances in GraphML and txt format. - 'vrinst' folder contains ATSP instances, expressed as VRP instances, in json format, to be fed into VROOM - 'tsps' folder contains symmetric TSP instances in TSPLIB format to be fed into Concorde - 'ress' folder contains result of optimizzation obtained by Concorde (.sol and .res formats) and VROOM (.json) all the files in these folders is named as [SF#]_[distanceMetric][[prescribedFields#]_[subrun]][Session8charsCode], so that, for example "SF3_Linf[100_9]2e275d41" represents the 100 fields result of the 9th subrun of the session with code 2e275d41, where SF3 and Linf norm have been taken into account. - 'resultsNPY' folder contains .npy file about computation time and computed travel time for both solvers