cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/4zv-f9p-1hg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/be2-95z-5nb
title: †Favorites Tschigova, 1977

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9pd-7a2-yds
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c2v-dz6-b71
title: †Discocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rmn-sfn-qsg
title: Phacops

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/99q-416-z2h
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jz3-q5r-vp0
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wkw-2nq-47x
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ntx-pr8-9ey
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p03-snz-xxn
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3d1-82p-l5e
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/paz-q1y-2mc
title: Bison C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lr0-p92-072
title: Bos taurus primigenius Bojanus, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t7k-45m-y7q
title: Rangifer tarandus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kk1-mh4-dy4
title: Bison C. H. Smith, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qzb-2bv-gzq
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f5n-6bt-sqp
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ptk-3zy-2pk
title: Isurus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jp5-ceq-m0b
title: Mustelus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w5w-q37-hlj
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t1f-2wh-dn2
title: Balclutha Kirkaldy, 1900

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.mvbh7c
title: Occurrence Download

description: A dataset containing 420045 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 GBIF_ISEA3HCODE(9, decimallatitude, decimallongitude, 0.0) isea3hcellcode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, GBIF_ISEA3HCODE(9, decimallatitude, decimallongitude, 0.0), "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, GBIF_ISEA3HCODE(9, decimallatitude, decimallongitude, 0.0), "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, GBIF_ISEA3HCODE(9, decimallatitude, decimallongitude, 0.0), "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, GBIF_ISEA3HCODE(9, decimallatitude, decimallongitude, 0.0), "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, GBIF_ISEA3HCODE(9, decimallatitude, decimallongitude, 0.0), "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, GBIF_ISEA3HCODE(9, decimallatitude, decimallongitude, 0.0), "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'DK'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.taxonkey = 5 OR occurrence.acceptedtaxonkey = 5 OR occurrence.kingdomkey = 5 OR occurrence.phylumkey = 5 OR occurrence.classkey = 5 OR occurrence.orderkey = 5 OR occurrence.familykey = 5 OR occurrence.genuskey = 5 OR occurrence.specieskey = 5)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 GBIF_ISEA3HCODE(9, occurrence.decimallatitude, occurrence.decimallongitude, 0.0)

 The dataset's 420045 records were derived from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029642-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppj7zg
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Chinese Taipei)",
 "TaxonKey is Ormosia emarginata (Hook. & Arn.) Benth."
 ]
}

 The dataset includes 153 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029646-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/suzb9o
title: Udział miast w międzynarodowych procesach decyzyjnych – wpływ wybranych miast europejskich na prawo międzynarodowe i stosunki międzynarodowe - część 8

description: Transkrypcje wywiadów z przedstawicielami miast, sieci miast i organizacji międzynarodowych:1.          3 maja 2022 r. – wywiad online z Felip Roca Blasco, Director of the Department of International Relations in Barcelona – dr hab. Robert Gawłowski, prof. WSB.2.          7 czerwca 2022 r. – wywiad z Kristofferem Bengtssonem z urzędu miasta Sztokholmu (International Affairs Officer, City of Stockholm, Executive Office) – dr hab. Agnieszka Szpak, prof. UMK.3.          15 czerwca 2022 r. – wywiad z Sabine Gimbrère z urzędu miasta Amsterdamu (Director of the International Office/City of Amsterdam) – mgr Michał Dahl.4.          17 czerwca 2022 r. – wywiad z Martinem Bornem z urzędu miasta Hagi (Policy Advisor, Directorate for International Affairs, Municipality of The Hague) – mgr Michał Dahl.5.          28 października 2022 r. – wywiad z wywiad z Thomasem Honeck’iem z urzędu miasta Berlina (The Governing Mayor of Berlin – Senate Chancellery representative) – dr Paweł Modrzyński.6.          31 października 2022 r. – wywiad z dr. Raymondem Saller’em (Referat für Arbeit und Wirtschaft) z urzędu miasta Monachium – dr Paweł Modrzyński.7.      2 listopada 2022 r. – wywiad z Ignacio Felpeto-Santero z urzędu miasta Strasburga (Directorate of European Relations and International Missions, Strasbourg – European Capital City) oraz Marti Berenguerem z regionu Alzacja (Project Manager Europe – European and Cross-border cooperation Directoriate, Alsace) – dr Joanna Modrzyńska.8.      9 listopada 2022 r. – wywiad online z Lea Boniface (Chargée des relations diplomatiques avec l’Europe Délégation générale aux Relations internationals International Relations Department) i Yann Bhogal z Urzędu Miasta Paryża – dr hab. Robert Gawłowski, prof. WSB.9.      11 listopada 2022 r. – wywiad online z Ángela Escudero Clemente z Urzędu Miasta w Madrycie (Oficina Auxiliar Área Delegada de Internacionalización y Cooperación Área de Gobierno de la Vicealcaldía) – dr hab. Robert Gawłowski, prof. WSB.10.      2 grudnia 2022 r. – wywiad z byłym Sekretarzem Generalnym Kongresu Władz Lokalnych i Regionalnych Rady Europy, Andreasem Kieferem – dr Joanna Modrzyńska.11.      5 grudnia 2022 r. – wywiad z Anniką Lenz Programme Manager Office for Europe and European Institutions, UN-Habitat, The United Nations Human Settlements Programme w Brukseli – dr Joanna Modrzyńska.12.      8 grudnia 2022 r. – wywiad z Dorothe Nielsen, Executive Director Eurocities w Brukseli – dr Joanna Modrzyńska.13.      8 grudnia 2022 r. – wywiad z Carol Thomas Policy Advisor – Governance and Institutional Relations, Council of European Municipalities and Regions (UCLG CEMR) w Brukseli – dr Joanna Modrzyńska.
DOI: 10.15468/dl.qqj3r5
title: Occurrence Download

description: A dataset containing 2038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematoclethra scandens (Franch.) Maxim.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2038 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029647-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28578958
title: Educational attainment, body mass index, and smoking as mediators in kidney disease risk: a two-step Mendelian randomization study

description: Educational attainment (EA) has been linked to various health outcomes, including kidney disease (KD). However, the underlying mechanisms remain unclear. This study aims to assess the causal relationship between EA and KD and quantify the mediation effects of modifiable risk factors using a Mendelian randomization (MR) approach. We performed a two-sample MR analysis utilizing summary statistics from large-scale European genome-wide association studies (GWAS). EA (NGWAS = 766,345) was used as the exposure, and KD (Ncase/Ncontrol= 5,951/212,871) was the outcome. A two-step MR method was applied to identify and quantify the mediation effects of 24 candidate risk factors. Each additional 4.2 years of genetically predicted EA was associated with a 32% reduced risk of KD (odds ratio [OR] 0.68; 95% confidence interval [CI] 0.56, 0.83). Among the 24 candidate risk factors, body mass index (BMI) mediated 21.8% of this protective effect, while smoking heaviness mediated 18.7%. This study provides robust evidence that EA exerts a protective effect against KD, partially mediated by BMI and smoking. These findings highlight the potential for targeted public health interventions aimed at mitigating obesity and smoking-related risks to reduce KD incidence, particularly among individuals with lower educational attainment.
DOI: 10.6084/m9.figshare.28578958.v1
title: Educational attainment, body mass index, and smoking as mediators in kidney disease risk: a two-step Mendelian randomization study

description: Educational attainment (EA) has been linked to various health outcomes, including kidney disease (KD). However, the underlying mechanisms remain unclear. This study aims to assess the causal relationship between EA and KD and quantify the mediation effects of modifiable risk factors using a Mendelian randomization (MR) approach. We performed a two-sample MR analysis utilizing summary statistics from large-scale European genome-wide association studies (GWAS). EA (NGWAS = 766,345) was used as the exposure, and KD (Ncase/Ncontrol= 5,951/212,871) was the outcome. A two-step MR method was applied to identify and quantify the mediation effects of 24 candidate risk factors. Each additional 4.2 years of genetically predicted EA was associated with a 32% reduced risk of KD (odds ratio [OR] 0.68; 95% confidence interval [CI] 0.56, 0.83). Among the 24 candidate risk factors, body mass index (BMI) mediated 21.8% of this protective effect, while smoking heaviness mediated 18.7%. This study provides robust evidence that EA exerts a protective effect against KD, partially mediated by BMI and smoking. These findings highlight the potential for targeted public health interventions aimed at mitigating obesity and smoking-related risks to reduce KD incidence, particularly among individuals with lower educational attainment.
DOI: 10.6084/m9.figshare.29039702
title: Glucagon-like peptide-1 receptor agonists, inflammation, and kidney diseases: evidence from Mendelian randomization

description: It has been proved that glucagon-like peptide-1 receptor (GLP1R) agonists have positive effects on renal outcomes in diabetic patients. However, it remains unknown whether GLP1R agonists could provide similar protection against other kidney diseases. We performed two-sample Mendelian randomization (MR) analyses to determine the causal effects of GLP1R agonists on multiple kidney diseases. Exposure to GLP1R agonist was proxied by the available cis-eQTLs for GLP1R. Primary outcomes included the risk assessment for diabetic nephropathy, IgA nephropathy, membranous nephropathy, nephrotic syndrome, chronic kidney disease, acute glomerulonephritis, chronic glomerulonephritis and calculus of kidney/ureter. Type 2 diabetes and body mass index were used as positive control. Two-stage network MR analyses were conducted to assess the mediation effect of inflammatory proteins on the relationships between GLP1R agonists and kidney diseases. After meta-analyses of both discovery and validation cohorts, genetically proxied GLP1R agonist was found to significantly associated with a decreased risk of diabetic nephropathy (OR = 0.72, 95%CI = 0.54–0.97, <i>p</i> = 0.031) and IgA nephropathy (OR = 0.58, 95%CI = 0.36–0.94, <i>p</i> = 0.027). Two-stage network MR revealed that there was an indirect effect of GLP1R agonist on IgA nephropathy through signaling lymphocytic activation molecule family member 1 (SLAMF1), with a mediated proportion of 34.27% (95% CI, 1.47–67.03%, <i>p</i> = 0.041) of the total effect. The findings of current study presented genetic proof for the potential protective effects of GLP1R agonists in the development of diabetic nephropathy and IgA nephropathy, offering a novel sight for future mechanistic and clinical applications.
DOI: 10.6084/m9.figshare.28171335
title: Piezo1 aggravates ischemia/reperfusion-induced acute kidney injury by Ca<sup>2+</sup>-dependent calpain/HIF-1α/Notch signaling

description: Macrophages play a vital role in the inflammation and repair processes of ischemia/reperfusion-induced acute kidney injury (IR-AKI). The mechanosensitive ion channel Piezo1 is significant in these inflammatory processes. However, the exact role of macrophage <i>Piezo1</i> in IR-AKI is unknown. The main purpose of this study was to determine the role of macrophage <i>Piezo1</i> in the injury and repair process in IR-AKI. Genetically modified mice with targeted knockout of <i>Piezo1</i> in myeloid cells were established, and acute kidney injury was induced by bilateral renal vascular clamping surgery. Additionally, hypoxia treatment was performed on bone marrow-derived macrophages <i>in vitro</i>. Our data indicate that Piezo1 is upregulated in renal macrophages in mice with IR-AKI. Myeloid <i>Piezo1</i> knockout provided protective effects in mice with IR-AKI. Mechanistically, the regulatory effects of Piezo1 on macrophages are at least partially linked to calpain signaling. Piezo1 activates Ca<sup>2+</sup>-dependent calpain signaling, which critically upregulates HIF-1α signaling. This key pathway subsequently influences the Notch and CCL2/CCR2 pathways, driving the polarization of M1 macrophages. In conclusion, our findings elucidate the biological functions of Piezo1 in renal macrophages, underscoring its role as a crucial mediator of acute kidney injury. Consequently, the genetic or pharmacological inhibition of Piezo1 presents a promising strategy for treating IR-AKI. Our data indicate that Piezo1 activates Ca<sup>2+</sup>-dependent calpain signaling, which critically upregulates HIF-1α signaling. This key pathway subsequently influences the Notch and CCL2/CCR2 pathways, driving the polarization of M1 macrophages. Notably, HIF-1α signaling plays a central role in regulating the inflammatory response, highlighting its importance in mediating macrophages activation and the progression of renal injury. Additionally, the production of pro-inflammatory factors and ROS, driven by HIF-1α, promotes apoptosis in renal tubular epithelial cells, further exacerbating renal damage.
DOI: 10.6084/m9.figshare.28171335.v1
title: Piezo1 aggravates ischemia/reperfusion-induced acute kidney injury by Ca<sup>2+</sup>-dependent calpain/HIF-1α/Notch signaling

description: Macrophages play a vital role in the inflammation and repair processes of ischemia/reperfusion-induced acute kidney injury (IR-AKI). The mechanosensitive ion channel Piezo1 is significant in these inflammatory processes. However, the exact role of macrophage <i>Piezo1</i> in IR-AKI is unknown. The main purpose of this study was to determine the role of macrophage <i>Piezo1</i> in the injury and repair process in IR-AKI. Genetically modified mice with targeted knockout of <i>Piezo1</i> in myeloid cells were established, and acute kidney injury was induced by bilateral renal vascular clamping surgery. Additionally, hypoxia treatment was performed on bone marrow-derived macrophages <i>in vitro</i>. Our data indicate that Piezo1 is upregulated in renal macrophages in mice with IR-AKI. Myeloid <i>Piezo1</i> knockout provided protective effects in mice with IR-AKI. Mechanistically, the regulatory effects of Piezo1 on macrophages are at least partially linked to calpain signaling. Piezo1 activates Ca<sup>2+</sup>-dependent calpain signaling, which critically upregulates HIF-1α signaling. This key pathway subsequently influences the Notch and CCL2/CCR2 pathways, driving the polarization of M1 macrophages. In conclusion, our findings elucidate the biological functions of Piezo1 in renal macrophages, underscoring its role as a crucial mediator of acute kidney injury. Consequently, the genetic or pharmacological inhibition of Piezo1 presents a promising strategy for treating IR-AKI. Our data indicate that Piezo1 activates Ca<sup>2+</sup>-dependent calpain signaling, which critically upregulates HIF-1α signaling. This key pathway subsequently influences the Notch and CCL2/CCR2 pathways, driving the polarization of M1 macrophages. Notably, HIF-1α signaling plays a central role in regulating the inflammatory response, highlighting its importance in mediating macrophages activation and the progression of renal injury. Additionally, the production of pro-inflammatory factors and ROS, driven by HIF-1α, promotes apoptosis in renal tubular epithelial cells, further exacerbating renal damage.
DOI: 10.6084/m9.figshare.28456969
title: Prognosis of critically ill patients with early and late sepsis-associated acute kidney injury: an observational study based on the MIMIC-IV

description: The Acute Disease Quality Initiative (ADQI) working group recently released a consensus definition of sepsis-associated acute kidney injury (SA-AKI), but the prognosis and risk factors for early and late SA-AKI have not been studied. This was a retrospective cohort study based on the Medical Information Mart for Intensive Care IV (MIMIC-IV) database (v2.2). First, SA-AKI patients that met the new definition from the ADQI were screened, and then, the relationships between SA-AKI occurrence time and relevant clinical parameters were analyzed. After propensity score matching, 1,090 early SA-AKI (AKI occurring within 48 h of sepsis diagnosis) cases and late SA-AKI (AKI occurring between 48 h and 7 days after sepsis diagnosis) cases were identified. Compared with late SA-AKI patients, early SA-AKI patients had no significant differences in all-cause mortality at 28 days, 60 days or 180 days, renal replacement therapy (RRT) rates; or major adverse kidney events at 30 days (MAKE-30). However, the renal recovery of early SA-AKI patients was significantly better than that of late SA-AKI patients, their lengths of hospital stay and intensive care unit stay were significantly shorter, and the number of patients with positive fluid balance was lower, but the use of nonsteroidal anti-inflammatory drugs (NSAIDs) and nephrotoxic antibiotics and the incidence of septic shock were higher. In addition, there was a difference in the number of patients with early and late SA-AKI at highest AKI stages 1 and 3. Data analysis also revealed that liver disease, cancer, highest AKI stage 3 and septic shock were associated with renal nonrecovery. Although there was no significant difference in mortality between early and late SA-AKI patients, there were significant differences in renal recovery, positive fluid balance, nephrotoxic antibiotic use, septic shock and AKI stage. Therefore, the classification of early and late SA-AKI has certain scientific and rational validity, but whether the two have different clinical outcomes and pathogeneses requires further study.
DOI: 10.6084/m9.figshare.28456969.v1
title: Prognosis of critically ill patients with early and late sepsis-associated acute kidney injury: an observational study based on the MIMIC-IV

description: The Acute Disease Quality Initiative (ADQI) working group recently released a consensus definition of sepsis-associated acute kidney injury (SA-AKI), but the prognosis and risk factors for early and late SA-AKI have not been studied. This was a retrospective cohort study based on the Medical Information Mart for Intensive Care IV (MIMIC-IV) database (v2.2). First, SA-AKI patients that met the new definition from the ADQI were screened, and then, the relationships between SA-AKI occurrence time and relevant clinical parameters were analyzed. After propensity score matching, 1,090 early SA-AKI (AKI occurring within 48 h of sepsis diagnosis) cases and late SA-AKI (AKI occurring between 48 h and 7 days after sepsis diagnosis) cases were identified. Compared with late SA-AKI patients, early SA-AKI patients had no significant differences in all-cause mortality at 28 days, 60 days or 180 days, renal replacement therapy (RRT) rates; or major adverse kidney events at 30 days (MAKE-30). However, the renal recovery of early SA-AKI patients was significantly better than that of late SA-AKI patients, their lengths of hospital stay and intensive care unit stay were significantly shorter, and the number of patients with positive fluid balance was lower, but the use of nonsteroidal anti-inflammatory drugs (NSAIDs) and nephrotoxic antibiotics and the incidence of septic shock were higher. In addition, there was a difference in the number of patients with early and late SA-AKI at highest AKI stages 1 and 3. Data analysis also revealed that liver disease, cancer, highest AKI stage 3 and septic shock were associated with renal nonrecovery. Although there was no significant difference in mortality between early and late SA-AKI patients, there were significant differences in renal recovery, positive fluid balance, nephrotoxic antibiotic use, septic shock and AKI stage. Therefore, the classification of early and late SA-AKI has certain scientific and rational validity, but whether the two have different clinical outcomes and pathogeneses requires further study.