cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19486919
title: Bootstrapping Two-Stage Quasi-Maximum Likelihood Estimators of Time Series Models

description: This article provides results on the validity of bootstrap inference methods for two-stage quasi-maximum likelihood estimation involving time series data, such as those used for multivariate volatility models or copula-based models. Existing approaches require the researcher to compute and combine many first- and second-order derivatives, which can be difficult to do and is susceptible to error. Bootstrap methods are simpler to apply, allowing the substitution of capital (CPU cycles) for labor (keeping track of derivatives). We show the consistency of the bootstrap distribution and consistency of bootstrap variance estimators, thereby justifying the use of bootstrap percentile intervals and bootstrap standard errors.
DOI: 10.6084/m9.figshare.19486919.v2
title: Bootstrapping Two-Stage Quasi-Maximum Likelihood Estimators of Time Series Models

description: This article provides results on the validity of bootstrap inference methods for two-stage quasi-maximum likelihood estimation involving time series data, such as those used for multivariate volatility models or copula-based models. Existing approaches require the researcher to compute and combine many first- and second-order derivatives, which can be difficult to do and is susceptible to error. Bootstrap methods are simpler to apply, allowing the substitution of capital (CPU cycles) for labor (keeping track of derivatives). We show the consistency of the bootstrap distribution and consistency of bootstrap variance estimators, thereby justifying the use of bootstrap percentile intervals and bootstrap standard errors.
DOI: 10.6084/m9.figshare.19497460
title: Panel Data Quantile Regression for Treatment Effect Models

description: In this study, we develop a novel estimation method for quantile treatment effects (QTE) under rank invariance and rank stationarity assumptions. Ishihara (2020) explores identification of the nonseparable panel data model under these assumptions and proposes a parametric estimation based on the minimum distance method. However, when the dimensionality of the covariates is large, the minimum distance estimation using this process is computationally demanding. To overcome this problem, we propose a two-step estimation method based on the quantile regression and minimum distance methods. We then show the uniform asymptotic properties of our estimator and the validity of the nonparametric bootstrap. The Monte Carlo studies indicate that our estimator performs well in finite samples. Finally, we present two empirical illustrations, to estimate the distributional effects of insurance provision on household production and TV watching on child cognitive development.
DOI: 10.6084/m9.figshare.19486919.v1
title: Bootstrapping two-stage quasi-maximum likelihood estimators of time series models*

description: This paper provides results on the validity of bootstrap inference methods for two-stage quasi-maximum likelihood estimation involving time series data, such as those used for multivariate volatility models or copula-based models. Existing approaches require the researcher to compute and combine many first- and second-order derivatives, which can be difficult to do and is susceptible to error. Bootstrap methods are simpler to apply, allowing the substitution of capital (CPU cycles) for labor (keeping track of derivatives). We show the consistency of the bootstrap distribution and consistency of bootstrap variance estimators, thereby justifying the use of bootstrap percentile intervals and bootstrap standard errors.
DOI: 10.5281/zenodo.7865566
title: AP-132

description: This is a proteomics dataset using a novel photocatalytic probe complexed with HDL, applied to special cells.
DOI: 10.5281/zenodo.7865567
title: AP-132

description: This is a proteomics dataset using a novel photocatalytic probe complexed with HDL, applied to special cells.
DOI: 10.5517/ccdc.csd.cc2dbxk7
title: CCDC 2215029: Experimental Crystal Structure Determination

description: Related Article: Ş. Çakmak, T. Aycan, H. Yakan, A. Veyisoğlu, H. Tanak, M. Evecen|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|249|doi:10.1107/S2053229623003418
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.cc2fsgqf
title: CCDC 2257845: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Koki Akiyama, Tadashi Ema|2023|Org.Lett.|25|3932|doi:10.1021/acs.orglett.3c01304
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.cc2fsgrg
title: CCDC 2257846: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Koki Akiyama, Tadashi Ema|2023|Org.Lett.|25|3932|doi:10.1021/acs.orglett.3c01304
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.cc2fdc9j
title: CCDC 2246207: Experimental Crystal Structure Determination

description: Related Article: Shi-Yao Li, Huan Yao, Hao Hu, Wen-Jie Chen, Liu-Pan Yang, Li-Li Wang|2023|Chem.Commun.|59|7204|doi:10.1039/D3CC01164J
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.cc2fsgsh
title: CCDC 2257847: Experimental Crystal Structure Determination

description: Related Article: Chihiro Maeda, Koki Akiyama, Tadashi Ema|2023|Org.Lett.|25|3932|doi:10.1021/acs.orglett.3c01304
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.cc2f7yqc
title: CCDC 2241973: Experimental Crystal Structure Determination

description: Related Article: Jing Wang, Xiaoxue Zhang, Jianhui Zhou, Liping Yan, Yuan Li, Naixuan Zhao, Hong Liu, He Huang, Yu Zhou|2023|Org.Chem.Front.|10|2680|doi:10.1039/D3QO00255A
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: 10.6075/j08c9wg5
title: Spawning aggregation monitoring for barred sand bass (Paralabrax nebulifer) in Punta Abreojos, B.C.S.. In dataMares: Fisheries

description: We collected samples of barred sand bass from the commercial fishery on a monthly basis in Punta Abreojos to determine its reproductive season in the region. Fish were obtained opportunistically directly from fishers upon their return from fishing trips. For each fish collected, we recorded information on total length to the nearest mm, total body weight to the nearest g, and gonad weight to the near 0.1 g. Length data were compiled to estimate the size structure of the harvested population and assess the size selectivity of the benthic traps used by the fishery. Classification of gonadal development stages followed Brown-Peterson et al. (2011), with confirmation of sexual maturity based on previous work on Paralabrax species by Sadovy & Domeier (2005). Emphasis was placed on identifying females in the actively spawning stage with ovaries containing batches of hydrated oocytes to specify months in which spawning occurred, and the relative proportions of females with ovaries containing batches of oocytes in various stages of vitellogenesis (developing, spawning capable, actively spawning, and regressing) were used to provide additional information on monthly spawning activity. The mean monthly gonadosomatic index (GSI) of females was calculated as follows: GSI = 100 x (gonad weight/total body weight).
description: Software used: Microsoft Excel.
description: For marine fishes that form spawning aggregations, vulnerability to aggregation fishing is influenced by interactions between the spatio-temporal patterns of spawning and aspects of the fishery that determine fishing effort, catch, and catch rate in relation to spawning. In close collaboration with the SCPP Punta Abreojos, we studied the spatio-temporal dynamics of spawning and fishing for the barred sand bass (Paralabrax nebulifer) in Punta Abreojos, Mexico from july 2009 to april 2013 to assess its vulnerability to aggregation fishing.
DOI: 10.6075/j0qc01np
title: Fisheries Monitoring Program: Gulf of California artisanal fisheries data. In dataMares: Fisheries

description: Software used: Microsoft Excel. Coordinate system: WGS 1984.
description: This set of data has been collected by Centro para la Biodiversidad Marina y la Conservación A.C., as part of the Gulf of California Marine Program's artisanal fisheries monitoring program. The objective is to work with communities to understand the health status of commercially important fishery resources and their relationship to the habitat that sustains them. Since 2009, fishermen from different communities have helped us collect data related to fishing activity. This data is used by a multidisciplinary team of researchers in a program that seeks to contribute to the region's fisheries management. Data from the following fishing communities is included: San Felipe in Baja California (2012/02 - 2017/05); El Golfo de Santa Clara in Sonora (2009/03-2018/04); El Zanjón, Baja California (2010 and 2015); Punta Abreojos (2009/06-2022/12); Puerto Adolfo López Mateos (2016/06-2022/06); Puerto San Carlos (2014/09-2021/10); Isla Margarita (2012/10-2020/02); Bahía La Ventana (2016/06-2020/12); El Sargento (2020/12-2022/06); Isla La Partida (2011/08-2022/06) and San Basilio (2020/02 - 2022/06) in Baja California Sur.
description: Data was compiled from landings records belonging artisanal fishers. Geographic data was generated through gps trackers used by fishers during their daily fishing trips.
DOI: 10.6075/j0vt1q9k
title: Fisheries Monitoring Program in La Paz (Baja California Sur, Mexico). In dataMares: Fisheries

description: This set of data was collected by the Gulf of California Marine Program (GCMP) from the catch logs of four fishing cooperatives in La Paz, Baja California Sur, from 1997 to November 2021. The data are used as part of the research program to improve fisheries management in the Gulf of California. In addition, these data can be used to observe trends in catch per trip of the most important fishery resources of these cooperatives.
description: Software used: Microsoft Excel.
description: Data was compiled from landings records and sale receipts belonging four fishing cooperatives in La Paz, B.C.S.
DOI: 10.6075/j090220t
title: Fisheries Monitoring Program: Punta Abreojos Fisheries data. In dataMares: Fisheries

description: This set of data was collected by the Gulf of California Marine Program (GCMP) that comes from the catch logs of the fishing cooperative of Punta Abreojos from 1983 to December 2022. The data are used as part of the research program to improve the management of fisheries. In addition, these data can be used to observe trends in catch per trip of the most important fishery resources of this cooperative as well as economic income.
description: This set of data was collected by the GCMP that comes from the catch notes of the fishing cooperative of Punta Abreojos.
description: Software used: Microsoft Excel.
DOI: 10.6075/j0r20zk5
title: Mexico's national fisheries statistics. In dataMares: Fisheries

description: Dataset collected from CONAPESCA with all the fisheries records in the Mexican Pacific from 2001 to 2021.
description: Software used: R
description: Data requested through the INAI.
DOI: 10.6075/j04m94rt
title: Fisheries Monitoring Program: San Juaniquito Fisheries data. In dataMares: Fisheries

description: This set of data has been collected by Centro para la Biodiversidad Marina y la Conservación AC as part of the Gulf of California Marine Program's artisanal fisheries monitoring program. It contains information from the catch logs of the fishing cooperative of San Juaniquito, B.C.S. The research team analyzes data to describe the fishing dynamics of this small fishing community and estimate the economic benefits generated through this activity. San Juaniquito fishers take advantage of 31 fishing resources, however, only 15 of them represent 90% of the catches. This information, together with the social characteristics of the community, will help fishers and government design conservation and management strategies that generate social, economic and environmental benefits. Efforts for this monitoring contribute to the San Basilio Conservation Initiative project.
description: Data was collected using the cooperative's landing records and sale receipts where specific information related to costs are recorded.
description: Software used: Microsoft Excel.
DOI: 10.6084/m9.figshare.19178885
title: Near-lifespan longitudinal tracking of microvascular structural and functional alterations in aging brain

description: Walek, K.W., Stefan, S., Lee, JH. et al. Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice. Nat Commun 14, 2982 (2023). https://doi.org/10.1038/s41467-023-38609-z
DOI: 10.6075/j00v8d02
title: Socioeconomic and fishing indicators of San Basilio community. In dataMares: Fisheries

description: San Basilio, located north of Loreto BCS, is a small bay that is home to a diverse marine ecosystem that sustains a small community of fishers. A research team from the Centro para la Biodiversidad Marina y la Conservación AC conducted interviews with members of the fishing community to identify relevant socioeconomic aspects. This collaborative effort aims to create a knowledge baseline of the biological diversity in the area, which in turn will help the local community, researchers and government begin discussions on the best conservation and management options. This project also seeks to build local capacities that allow fishers to be directly involved in fisheries and ecological monitoring efforts to assess the health of San Basilio Bay.
description: Software used: Microsoft Excel.
description: The research team designed a questionnaire to generate data related to fishing activities, governance and organization structure, operating costs and commercialization options for their catch. The questionnaire included the following sections: (a) general information (age, birthplace, training, years in fishing); (b) fleet operation (fishing sites, best fishing seasons, fishing equipment and infrastructure); (c) socioeconomic indicators (family, schooling, work experience, income); and (d) income distribution and market networks.
DOI: 10.6075/j04b2zjn
title: Sustainable Management of Fisheries and Spawning Aggregations in the Upper Gulf of California (Ochoa). In dataMares: Fisheries

description: The data were provided directly by the buyer's plant, Golsomax.
description: Software Used: Microsoft Excel.
description: The data in this database were collected by the Gulf of California Marine Program from one of the most important buyers in the community of Golfo de Santa Clara, Sonora, from the commercial fishery for gulf corvina, Spanish Mackerel and shrimp from 2006 to 2015. The data is collected monthly from the community. This data can be used to estimate average catch and income per trip more accurately than with the data obtained from catch notifications from CONAPESCA (National Fisheries Commission). This can also aid in estimating more accurate values that can be helpful in determining compensations for fishermen during bans on fishing with gillnets in the region, as to estimate fishing effort, trips, etc.
DOI: 10.6075/j0dr2sp0
title: Bahia Magdalena: habitat diversity sustains fisheries. In dataMares: Fisheries

description: Catch landings, Bahia Magdalena
description: Catches of the fishing cooperative in Bahía Magdalena (Baja California Sur, Mexico) were analyzed during the period from 2012 to 2016. The data here identifies the distribution of the fishing activity.
description: Software used: Microsoft Excel. Coordinate system: WGS 1984.
DOI: 10.6075/j03r0qrh
title: Jellyfish bloom in Golfo de Santa Clara in 2012. In dataMares: Fisheries

description: To analyze the 2012 bloom event, oceanographic parameters were obtained by averaging data for SST and Chla concentration from the Aqua/MODIS sensor for two localities: Guaymas and Golfo de Santa Clara. We compiled the official landing records reported by CONAPESCA, from the two same localities.
description: Fishery information from the trackers program. Data catch from Santa Clara of jellyfish and satellite estimates of temperature and chlorophyll a.
description: Software used: Microsoft Excel. Coordinate system: WGS 1984.
DOI: 10.6075/j07h1gg7
title: ENSO index in the Gulf of California (1950-2014). In dataMares: Fisheries

description: Software used: Microsoft Excel.
description: ENSO multivariate index NOAA (http://www.esrl.noaa.gov/psd/enso/mei/)
description: The multivariate ENSO index is a measurement of the ocean-atmosphere system in the North Pacific at interannual scales. It is crucial to understand the recruitment success of some species and to regulate climatic trends among years.
DOI: 10.6075/j01j9800
title: Spatio-temporal interactions of fish spawning aggregations and fisheries in the Upper Gulf of California. In dataMares: Fisheries

description: The biological and fisheries data were collected by the Gulf of California Marine Program coming from catches of the commercial fishery at El Zanjón BC, San Felipe, BC, and Golfo de Santa Clara, Sononra, Mexico from 2009 to 2016 for 11 species (berrugata sp, Cynoscion othonopterus, cynoscion reticulatus, epinephelus acanthistius, isopisthus remifer, lobotus pacificus, micropogonias megalops, paralabrax auroguttatus, scomberomorus concolor, scomberomorus sierra, totoaba macdonaldi). The specific data of corvina (Cynoscion othonopterus), are used in the analyzes of size structure, quota and status of the fishery. In addition, these data have been shared with the Curvina Technical Group, which also analyzes this fishery on an annual basis.
description: The biological-fishery data were collected during ecological monitoring by the GCMP of 11 species (berrugata sp, cynoscion othonopterus, cynoscion reticulatus, epinephelus acanthistius, isopisthus remifer, lobotus pacificus, micropogonias megalops, paralabrax auroguttatus, scomberomorus concolor, scomberomorus sierra, totoaba macdonaldi ).
description: Software used: Microsoft Excel.
DOI: 10.6075/j0kk98zv
title: Spatio-temporal interactions of curvina spawning aggregations and fisheries in the Upper Gulf of California. In dataMares: Fisheries

description: Software used: Microsoft Excel. Coordinate system: WGS 1984.
description: A biological-fishing sampling of the catch of the commercial fishery of gulf corvina of three communities (Indiviso and San Felipe B.C.). We collected data of length, weight, sex, gonads maturity and weight of swim bladder.
description: Biological-fishery data were collected by three institutions, the Gulf of California Marine Program (GCMP, for Santa Clara 2009-2011 and San Felipe 2012-2016), Centro Ecológico del Estado de Sonora (CEDES, for Santa Clara 1993-2016) and Centro Regional de Investigación Pesquera (CRIP, for all of them from the catches of the commercial fishery of El Zanjón BC, San Felipe, BC, and the Gulf of Santa Clara Son., from 1993 to 2016 of curvina golfina (Cynoscion othonopterus), are used in the analysis of size structure, quota and status of the fishery. All these data form part of the technical group of curvina that also analyzes annually this fishery.
DOI: 10.6075/j0d21vrf
title: Marine Reserves Project (COBI): groupers in Bahia Magdalena. In dataMares: Fisheries

description: Using underwater visual transects, we counted and sized groupers from Bahía Magdalena, with this information we calculated the groupers biomass and the potential average economic value in the marine reserve.
description: Software used: Microsoft Excel; Matlab. Coordinate system: WGS 1984.
description: Belt transects
DOI: 10.6075/j0v40sc1
title: Potential Fishing Effort in the Gulf of California. In dataMares: Fisheries

description: Software used: Microsoft Excel, ArcGIS 10.2. Coordinate system: WGS 1984.
description: We present an accessible, spatial method of calculating the extent of natural resource extraction based on two simple measures that are available, or at least easily estimable, in even the most data poor scenarios: the number of production units (apparatus used in the resource extraction) and the local human population. We illustrate the method using a fisheries case study from the Gulf of California, Mexico. In terms of marine fisheries, methods to estimate extent that currently exist are built around electronic tracking and logbook systems and generally focus on industrial fisheries. The spatial extent for small-scale fisheries therefore often remains elusive. This simple method can easily be used across a range of different systems where the extent of natural resource extraction needs to be estimated.
description: Data obtained from INEGI, WWF, Plomozo 2010.
DOI: 10.6075/j07d2s92
title: Global Fisheries Supply Index. In dataMares: Fisheries

description: Software used: Microsoft Excel. Coordinate system: WGS 1984.
description: Estimates of fisheries, aquaculture and fish consumption per capita, per country, per year since 1950. The databases were obtained from the software fishstat, distributed by FAO.
description: Global fisheries statistics from FAO