cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tabfm9
title: Occurrence Download

description: A dataset containing 49326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, United States of America)",
 "EventDate is greater than or equal to 2021-11-18",
 "EventDate is less than or equal to 2021-11-25",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 49326 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081547-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63jcw7
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Occurrence evidence"
 ]
 },
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Certhia discolor Blyth, 1845",
 "Year 1972-2022"
 ]
}

 The dataset includes 47 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279837-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frznmy
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pandinus imperator (C.L.Koch, 1841)"
 ]
}

 The dataset includes 105 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011561-200127171203522/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbdaxm
title: Occurrence Download

description: A dataset containing 6736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Vaccinium uliginosum L."
 ]
}

 The dataset includes 6736 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015797-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w74zu3
title: Occurrence Download

description: A dataset containing 25476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amegilla Friese, 1897"
 ]
}

 The dataset includes 25476 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0272983-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ny7u4m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acrochordidae",
 "DecimalLongitude is greater than or equal to -100.613090999497",
 "DecimalLongitude is less than or equal to -98.5968666597463",
 "DecimalLatitude is greater than or equal to 20.285866660291",
 "DecimalLatitude is less than or equal to 18.3669428806059"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133414-230224095556074/datasets/export for details.
DOI: 10.15468/dl.deq2pk
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Takifugu alboplumbeus (Richardson, 1845)"
 ]
}

 The dataset includes 231 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069260-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahqwrb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anomochilidae",
 "DecimalLongitude is greater than or equal to -100.613090999497",
 "DecimalLongitude is less than or equal to -98.5968666597463",
 "DecimalLatitude is greater than or equal to 20.285866660291",
 "DecimalLatitude is less than or equal to 18.3669428806059"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133422-230224095556074/datasets/export for details.
DOI: 10.15468/dl.dnhwf7
title: Occurrence Download

description: A dataset containing 13574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "InstitutionCode is inaturalist",
 {
 "or" : [
 "IucnRedListCategory is VU",
 "IucnRedListCategory is NT",
 "IucnRedListCategory is LC",
 "IucnRedListCategory is EN"
 ]
 },
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Quiscalus mexicanus (Gmelin, 1788)",
 "TaxonKey is Aulacorhynchus prasinus (Gould, 1833)"
 ]
 },
 "Year 1998-2022"
 ]
}

 The dataset includes 13574 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0311408-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9uwap
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eburia falli Linsley, 1962"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026674-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zd4d54
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cadeidae",
 "DecimalLongitude is greater than or equal to -100.613090999497",
 "DecimalLongitude is less than or equal to -98.5968666597463",
 "DecimalLatitude is greater than or equal to 20.285866660291",
 "DecimalLatitude is less than or equal to 18.3669428806059"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133429-230224095556074/datasets/export for details.
DOI: 10.15468/dl.npjb5j
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carphacis gigas Schülke, 1995",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0311421-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kd9tr9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corytophanidae",
 "DecimalLongitude is greater than or equal to -100.613090999497",
 "DecimalLongitude is less than or equal to -98.5968666597463",
 "DecimalLatitude is greater than or equal to 20.285866660291",
 "DecimalLatitude is less than or equal to 18.3669428806059"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133436-230224095556074/datasets/export for details.
DOI: 10.15468/dl.m1zgkt
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conyza canadensis (L.) Cronquist"
 ]
}

 The dataset's 1 records were derived from 570 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000383-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb8822
title: Occurrence Download

description: A dataset containing 41438 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neovison vison (Schreber, 1777)"
 ]
}

 The dataset includes 41438 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276401-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13772208
title: Educational data collected from students - regarding the analysis of online activities in schools in Romania (during the Covid-19 pandemic, March 2020 - April  2020)

description: The student questionnaire was designed with 20 questions. It was completed by 1,088 respondents and focuses on students' experiences related to online education. The collected data provides a broad perspective on various aspects of this, including access to technology, experiences with different platforms, perceptions of the advantages and disadvantages of this form of education, as well as direct feedback from students regarding their experiences. The full questionnaire can be accessed at: https://forms.gle/fhgzCUx1SDnxbCfZ6

To protect the identity of the respondents and to obtain accurate responses, all data collected from teachers was anonymous. We did not collect any personal information whatsoever. This aspect was made clear to the respondents in the description of the questionnaire.
DOI: 10.5281/zenodo.13772209
title: Educational data collected from students - regarding the analysis of online activities in schools in Romania (during the Covid-19 pandemic, March 2020 - April  2020)

description: The student questionnaire was designed with 20 questions. It was completed by 1,088 respondents and focuses on students' experiences related to online education. The collected data provides a broad perspective on various aspects of this, including access to technology, experiences with different platforms, perceptions of the advantages and disadvantages of this form of education, as well as direct feedback from students regarding their experiences. The full questionnaire can be accessed at: https://forms.gle/fhgzCUx1SDnxbCfZ6

To protect the identity of the respondents and to obtain accurate responses, all data collected from teachers was anonymous. We did not collect any personal information whatsoever. This aspect was made clear to the respondents in the description of the questionnaire.
DOI: 10.5517/cc6fhdh
title: CCDC 191716: Experimental Crystal Structure Determination

description: Related Article: T.Marx, L.Wesemann, S.Hagen, I.Pantenburg|2003|Z.Naturforsch.,B:Chem.Sci.|58|147|
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.ca8rjf
title: Occurrence Download

description: A dataset containing 19132 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mauremys leprosa (Schweigger, 1812)"
 ]
}

 The dataset includes 19132 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019456-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25413/sun.27043987
title: Cross-border data sharing through the lens of research ethics committee members in sub-Saharan Africa

description: Several factors thwart successful data sharing—ambiguous or fragmented regulatory landscapes, conflicting institutional/researcher interests and varying levels of data science-related expertise are among these. Traditional ethics oversight mechanisms and practices may not be well placed to guarantee adequate research oversight given the unique challenges presented by digital technologies and artificial intelligence (AI). Data-intensive research has raised new, contextual ethics and legal challenges that are particularly relevant in an African research setting. Yet, no empirical research has been conducted to explore these challenges.We explored REC members’ views and experiences on data sharing by conducting 20 semi-structured interviews online between June 2022 and February 2023. Using purposive sampling and snowballing, we recruited representatives across sub-Saharan Africa (SSA). We transcribed verbatim and thematically analysed the data with Atlas.ti V22.Three dominant themes were identified: (i) experiences in reviewing data sharing protocols, (ii) perceptions of data transfer tools and (iii) ethical, legal and social challenges of data sharing. Several sub-themes emerged as: (i.a) frequency of and approaches used in reviewing data sharing protocols, (i.b) practical/technical challenges, (i.c) training, (ii.a) ideal structure of data transfer tools, (ii.b) key elements of data transfer tools, (ii.c) implementation level, (ii.d) key stakeholders in developing and reviewing a data transfer agreement (DTA), (iii.a) confidentiality and anonymity, (iii.b) consent, (iii.c) regulatory frameworks, and (iii.d) stigmatisation and discrimination.Our results indicated variability in REC members’ perceptions, suboptimal awareness of the existence of data protection laws and a unanimously expressed need for REC member training. To promote efficient data sharing within and across SSA, guidelines that incorporate ethical, legal and social elements need to be developed in consultation with relevant stakeholders and field experts, along with the training accreditation of REC members in the review of data-intensive protocols.
DOI: 10.25413/sun.27043987.v1
title: Cross-border data sharing through the lens of research ethics committee members in sub-Saharan Africa

description: Several factors thwart successful data sharing—ambiguous or fragmented regulatory landscapes, conflicting institutional/researcher interests and varying levels of data science-related expertise are among these. Traditional ethics oversight mechanisms and practices may not be well placed to guarantee adequate research oversight given the unique challenges presented by digital technologies and artificial intelligence (AI). Data-intensive research has raised new, contextual ethics and legal challenges that are particularly relevant in an African research setting. Yet, no empirical research has been conducted to explore these challenges.We explored REC members’ views and experiences on data sharing by conducting 20 semi-structured interviews online between June 2022 and February 2023. Using purposive sampling and snowballing, we recruited representatives across sub-Saharan Africa (SSA). We transcribed verbatim and thematically analysed the data with Atlas.ti V22.Three dominant themes were identified: (i) experiences in reviewing data sharing protocols, (ii) perceptions of data transfer tools and (iii) ethical, legal and social challenges of data sharing. Several sub-themes emerged as: (i.a) frequency of and approaches used in reviewing data sharing protocols, (i.b) practical/technical challenges, (i.c) training, (ii.a) ideal structure of data transfer tools, (ii.b) key elements of data transfer tools, (ii.c) implementation level, (ii.d) key stakeholders in developing and reviewing a data transfer agreement (DTA), (iii.a) confidentiality and anonymity, (iii.b) consent, (iii.c) regulatory frameworks, and (iii.d) stigmatisation and discrimination.Our results indicated variability in REC members’ perceptions, suboptimal awareness of the existence of data protection laws and a unanimously expressed need for REC member training. To promote efficient data sharing within and across SSA, guidelines that incorporate ethical, legal and social elements need to be developed in consultation with relevant stakeholders and field experts, along with the training accreditation of REC members in the review of data-intensive protocols.
DOI: 10.5517/ccdc.csd.cc2c25n9
title: CCDC 2176840: Experimental Crystal Structure Determination

description: Related Article: Kadriye Turk, Anita M. Grześkiewicz, Christina N. Banti, Sotiris K. Hadjikakou, Maciej Kubicki, Ibrahim I. Ozturk|2022|J.Inorg.Biochem.|237|111987|doi:10.1016/j.jinorgbio.2022.111987
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.13772222
title: cnesterodon_brevirostratus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.13772223
title: cnesterodon_brevirostratus_decontaminated_FSCR.fasta.gz
DOI: 10.5517/ccdc.csd.cc2bl188
title: CCDC 2162289: Experimental Crystal Structure Determination

description: Related Article: T.B. Mitchell, X. Zhang, R.T. Jerozal, Y.-S. Chen, S. Wang, J.B. Benedict|2023|IUCrJ|10|694|doi:10.1107/S2052252523008060
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.cc2d0nvy
title: CCDC 2205180: Experimental Crystal Structure Determination

description: Related Article: Patrick D. Dutschke, Brian Tsz Ho Tsui, Maximilian von Bremen-Kühne, Robert H. Morris, F. Ekkehardt Hahn|2022|Organometallics|41|3732|doi:10.1021/acs.organomet.2c00489
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.cc266n47
title: CCDC 2032178: Experimental Crystal Structure Determination

description: Related Article: Shao-Yun Yin, Peng-Yan Fu, Mei Pan, Jing Guo, Ya-Nan Fan, Cheng-Yong Su|2020|J.Mater.Chem.C|8|16907|doi:10.1039/D0TC04413J
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.7caqxu
title: Occurrence Download

description: A dataset containing 3481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Zilla diodia (Walckenaer, 1802))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3481 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019457-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25413/sun.27044272
title: Male allocation to ejaculation and mating effort imposes different life history trade-offs

description: When males compete, sexual selection favors reproductive traits that increase their mating or fertilization success (pre- and postcopulatory sexual selection). It is assumed that males face a trade-off between these 2 types of sexual traits because they both draw from the same pool of resources. Consequently, allocation into mate acquisition or ejaculation should create similar trade-offs with other key life history traits. Tests of these assumptions are exceedingly rare. Males only ejaculate after they mate, and the costs of ejaculation are therefore highly confounded with those of mating effort. Consequently, little is known about how each component of reproductive allocation affects a male’s future performance. Here, we ran an experiment using a novel technique to distinguish the life history costs of mating effort and ejaculation for mosquitofish (Gambusia holbrooki). We compared manipulated males (mate without ejaculation), control males (mate and ejaculate), and naïve males (neither mate nor ejaculate) continuously housed with a female and 2 rival males. We assessed their growth, somatic maintenance, mating and fighting behavior, and sperm traits after 8 and 16 weeks. Past mating effort significantly lowered a male’s future mating effort and growth, but not his sperm production, while past sperm release significantly lowered a male’s future ejaculate quantity, but not his mating effort. Immune response was the only trait impacted by both past mating effort and past ejaculation. These findings challenge the assumption that male reproductive allocation draws from a common pool of resources to generate similar life history costs later in life. Instead, we provide clear evidence that allocation into traits under pre- and postcopulatory sexual selection have different trait-specific effects on subsequent male reproductive performance.